{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5b941479",
   "metadata": {},
   "source": [
    "# Cell cycle visualization for single-cell RNAseq data\n",
    "\n",
    "In this jupyter notebook we propose a short example for the application of stabilized-ica to single-cell RNAseq data. We will use the complementary package [sica-omics](https://github.com/ncaptier/sica-omics) which provides a toolbox to apply stabilized-ica on omics data. In particular, it proposes the function **sicaomics.singlecell.ica** which mimics [scanpy.pp.pca](https://scanpy.readthedocs.io/en/stable/generated/scanpy.pp.pca.html) and allows the user to apply our stabilized ICA approach on annotated data (i.e [anndata](https://anndata.readthedocs.io/en/latest/)). In this notebook we study the extraction of the cell cyle from single-cell RNA-seq data.\n",
    "\n",
    "**Note :** here we simply carry out a very basic analysis of cell cyle to illustrate the **sicaomics.singlecell.ica** function. Many more complex and relevant analyses could be perform and we advise interested readers to refer to the package [scycle](https://github.com/csgroen/scycle) or the notebook of Andrei Zinovyev [Cell_Cycle_gene_dynamics_visualization](https://www.kaggle.com/andreizinovyev/cell-cycle-gene-dynamics-visualization)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "91c6caf5",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import anndata\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import random\n",
    "import scanpy as sc\n",
    "import seaborn as sns\n",
    "import time"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1411486",
   "metadata": {},
   "source": [
    "## 0. Load the data set\n",
    "\n",
    "You can download the data from [this link](https://www.kaggle.com/alexandervc/rna-seq-data?select=CHLA9.h5ad) (in .h5ad format). This data set comes from an Ewing-sarcoma cell line named CHLA9 and purchased from the Children Oncology's Group (COG) for a study led by Millet *et al.* [1]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "96b22512",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = sc.read_h5ad('data/CHLA9.h5ad')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9552b371",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 5061 × 60662\n",
       "    obs: 'TotalUMIs'\n",
       "    var: 'Accession', 'AccessionVersion', 'Aliases', 'CcdsID', 'Chromosome', 'ChromosomeEnd', 'ChromosomeStart', 'CosmicID', 'DnaBindingDomain', 'FullName', 'GeneType', 'HgncID', 'IsTF', 'Location', 'LocationSortable', 'LocusGroup', 'LocusType', 'MgdID', 'MirBaseID', 'OmimID', 'PubmedID', 'RefseqID', 'RgdID', 'UcscID', 'UniprotID', 'VegaID'\n",
       "    layers: 'matrix', 'spliced', 'unspliced'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba66960a",
   "metadata": {},
   "source": [
    "## 1. Basic pre-processing for single-cell data\n",
    "\n",
    "Here we apply basic pre-processing operations. We follow a tutorial of scanpy that can be found [here](https://scanpy-tutorials.readthedocs.io/en/latest/pbmc3k.html) (this tutorial itself is based on another tutorial [Analyzing single-cell RNA-seq data containing read counts - Lun *et al* 2018](https://bioc.ism.ac.jp/packages/3.7/workflows/vignettes/simpleSingleCell/inst/doc/work-1-reads.html)).\n",
    "\n",
    "**Note:** The following pre-processing is one of the simplest for single-cell data. Many more complex methods have been proposed and the choice of an efficient pre-processing protocol for removing technical biases has not reached any consensus yet. Here we just want to keep things simple."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "576b650e",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.filter_cells(adata, min_genes=200)\n",
    "sc.pp.filter_genes(adata, min_cells=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfb6c1d1",
   "metadata": {},
   "source": [
    "We want to remove low quality cells in order to limit the influence of technical effects. To do so, we use several basic metrics: \n",
    "- **total number of counts across all genes** - a too low total counts may indicate that RNA has not been efficiently captured.\n",
    "- **number of genes expressed in the counts matrix** - a too low number of expressed genes may indicate that the diverse transcript population has not been successfully captured.\n",
    "- **percentage of counts in mitochondrial genes** - a high percentage may be indicative of poor-quality cells, possibly because of loss of cytoplasmic RNA from perforated cells.\n",
    "\n",
    "In the following, we first plot the distribution of each metric with violin plots and then visually select relevant thresholds to filter out low quality cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1e57ea34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "adata.var['mt'] = adata.var_names.str.startswith('MT-')  #annotate the group of mitochondrial genes as 'mt'\n",
    "sc.pp.calculate_qc_metrics(adata, qc_vars=['mt'], percent_top=None, log1p=False, inplace=True)\n",
    "sc.pl.violin(adata, ['n_genes_by_counts', 'total_counts', 'pct_counts_mt'], jitter=0.4, multi_panel=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f5f0727d",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = adata[adata.obs.n_genes_by_counts > 5000, :]\n",
    "adata = adata[adata.obs.n_genes_by_counts  < 9000, :]\n",
    "adata = adata[adata.obs.pct_counts_mt < 15, :]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a7ad674",
   "metadata": {},
   "source": [
    "We then apply two different transformations :\n",
    "- **Normalization of every cell by the total counts over all genes** - it aims to eliminate the cell-specific biases that may come with differences in capture, reverse transcription and sequencing efficiency of mRNA between cells. \n",
    "- **Log2(1 + x) transformation** - in particular, it ensures that high-abundance genes with large variances do not dominate downstream analyses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "92611326",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ncaptier\\anaconda3\\envs\\sica_env\\lib\\site-packages\\scanpy\\preprocessing\\_normalization.py:170: UserWarning: Received a view of an AnnData. Making a copy.\n",
      "  view_to_actual(adata)\n"
     ]
    }
   ],
   "source": [
    "sc.pp.normalize_total(adata, target_sum=1e4)\n",
    "sc.pp.log1p(adata)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad5cbe04",
   "metadata": {},
   "source": [
    "Finally we want to reduce the dimension by keeping only the most variable genes. This assumes that genuine biological differences will manifest as increased variation in the affected genes, compared to other genes that are only affected by technical noise or a baseline level of “uninteresting” biological variation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "75e03374",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.highly_variable_genes(adata, n_top_genes = 10000)\n",
    "adata = adata[:, adata.var.highly_variable]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "38f10f41",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Conversion from sparse adata.X to dense adata.X using only 10 000 top highly variable genes\n",
    "XX2 = adata.X.toarray()\n",
    "adata = anndata.AnnData(XX2,  obs=adata.obs.copy(), var=adata.var.copy() )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efcb5a61",
   "metadata": {},
   "source": [
    "## 2. Apply stabilized ICA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9e0d75c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sicaomics.singlecell import ica"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17a81725",
   "metadata": {},
   "source": [
    "In the following step, we center the expression of each gene to avoid extracting an ICA component that would be entirely driven by the differences between the mean expression of each gene."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "135952c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.X -= adata.X.mean(axis =0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d80ca640",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "running time (min): 00:57.10\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x17509df7400>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = time.time()\n",
    "ica(adata , observations = 'genes' , n_components = 30 , n_runs = 100)\n",
    "minutes, seconds = divmod(time.time() - start, 60)\n",
    "print(\"running time (min): \" + \"{:0>2}:{:05.2f}\".format(int(minutes),seconds))\n",
    "\n",
    "plt.figure(figsize = (10 , 7))\n",
    "plt.plot(range(1 , 31) , adata.uns['sica']['stability_indexes'] , linestyle='--', marker='o')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e472a8df",
   "metadata": {},
   "source": [
    "**Note:** here the choice of the number of ICA components to extract (`n_components = 30`) is quite arbitrary. We chose 30 because in several experiments we ran with single-cell data it roughly offered a satisfying compromise between a high overall stability and a sufficiently large number of components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d0c99a84",
   "metadata": {},
   "outputs": [],
   "source": [
    "Metagenes = pd.DataFrame(adata.varm['sica_metagenes'].T , columns = adata.var['Accession'].values , index = ['metagene ' + str(i) for i in range(adata.varm['sica_metagenes'].shape[1])])\n",
    "\n",
    "Metasamples = pd.DataFrame(adata.obsm['sica_metasamples'] , index = adata.obs.index , columns = ['metagene ' + str(i) for i in range(adata.varm['sica_metagenes'].shape[1])])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f409eec3",
   "metadata": {},
   "source": [
    "## 3. Toppfun enrichment analysis for detecting cell cycle metagenes\n",
    "\n",
    "In this section, we perform an exploratory analysis among the 30 extracted stabilized ICA components, looking for those which relate to cell cycle. To do so,  we will use the annotation tools of [sica-omics](https://github.com/ncaptier/sica-omics) which complements stabilized-ica. We need to repeat the following operations for each metagene (or, at least, the most stable ones) : \n",
    "- Use the **sicaomics.annotate.toppfun** tool to biologically annotate the metagene. This tool first retrieves the most expressed genes associated to the component and then performs enrichment analysis for this small subset of genes with [Toppfun](https://toppgene.cchmc.org/enrichment.jsp).\n",
    "- If the Toppfun enrichment analysis highlights processes associated to cell cyle, save the index (ex : metagene 2 is associated with the index 2) in the potential_ccycle_genes list.\n",
    "\n",
    "**Warning :** this process is not completely reproducible as ICA metagenes will not be ranked exactly the same way from one run to another. When running this notebook one may find different indexes for the cell cycle metagenes and should update the potential_ccycle_genes list accordingly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1c39db33",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sicaomics.annotate import toppfun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3854bbc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "Tannot = toppfun.ToppFunAnalysis(data = Metagenes , threshold = 3 , method = 'std', tail = 'heaviest')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e352b09",
   "metadata": {},
   "source": [
    "You just need to repeat the following cell and change, each time, the name of the metagene in the first line (i.e `metagene = 'metagene 0'` , `metagene = 'metagene 1'` , `metagene = 'metagene 2'` ...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e47caeb2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enrichment analysis success!\n"
     ]
    },
    {
     "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>Category</th>\n",
       "      <th>ID</th>\n",
       "      <th>Name</th>\n",
       "      <th>PValue</th>\n",
       "      <th>QValueFDRBH</th>\n",
       "      <th>QValueFDRBY</th>\n",
       "      <th>QValueBonferroni</th>\n",
       "      <th>TotalGenes</th>\n",
       "      <th>GenesInTerm</th>\n",
       "      <th>GenesInQuery</th>\n",
       "      <th>GenesInTermInQuery</th>\n",
       "      <th>Source</th>\n",
       "      <th>URL</th>\n",
       "      <th>Gene_Symbol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GeneOntologyBiologicalProcess</td>\n",
       "      <td>GO:0051098</td>\n",
       "      <td>regulation of binding</td>\n",
       "      <td>6.049045e-07</td>\n",
       "      <td>0.000744</td>\n",
       "      <td>0.006028</td>\n",
       "      <td>0.001119</td>\n",
       "      <td>20669</td>\n",
       "      <td>474</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>ID2,MSX1,CAV1,IFI16,MARK3,ANXA2,TWIST1,H1-0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>GeneOntologyBiologicalProcess</td>\n",
       "      <td>GO:0060538</td>\n",
       "      <td>skeletal muscle organ development</td>\n",
       "      <td>8.044321e-07</td>\n",
       "      <td>0.000744</td>\n",
       "      <td>0.006028</td>\n",
       "      <td>0.001488</td>\n",
       "      <td>20669</td>\n",
       "      <td>334</td>\n",
       "      <td>33</td>\n",
       "      <td>7</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>NGFR,FOXP1,CAV1,BASP1,HSPA8,DDX5,TWIST1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>GeneOntologyBiologicalProcess</td>\n",
       "      <td>GO:2000677</td>\n",
       "      <td>regulation of transcription regulatory region ...</td>\n",
       "      <td>2.464767e-06</td>\n",
       "      <td>0.001436</td>\n",
       "      <td>0.011633</td>\n",
       "      <td>0.004560</td>\n",
       "      <td>20669</td>\n",
       "      <td>60</td>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>ID2,MSX1,TWIST1,H1-0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>GeneOntologyBiologicalProcess</td>\n",
       "      <td>GO:0051101</td>\n",
       "      <td>regulation of DNA binding</td>\n",
       "      <td>3.105032e-06</td>\n",
       "      <td>0.001436</td>\n",
       "      <td>0.011633</td>\n",
       "      <td>0.005744</td>\n",
       "      <td>20669</td>\n",
       "      <td>144</td>\n",
       "      <td>33</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>ID2,MSX1,IFI16,TWIST1,H1-0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>GeneOntologyBiologicalProcess</td>\n",
       "      <td>GO:0045667</td>\n",
       "      <td>regulation of osteoblast differentiation</td>\n",
       "      <td>8.047476e-06</td>\n",
       "      <td>0.002782</td>\n",
       "      <td>0.022532</td>\n",
       "      <td>0.014888</td>\n",
       "      <td>20669</td>\n",
       "      <td>175</td>\n",
       "      <td>33</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>ID2,LMNA,IFI16,DDX5,TWIST1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Category          ID  \\\n",
       "10  GeneOntologyBiologicalProcess  GO:0051098   \n",
       "11  GeneOntologyBiologicalProcess  GO:0060538   \n",
       "12  GeneOntologyBiologicalProcess  GO:2000677   \n",
       "13  GeneOntologyBiologicalProcess  GO:0051101   \n",
       "14  GeneOntologyBiologicalProcess  GO:0045667   \n",
       "\n",
       "                                                 Name        PValue  \\\n",
       "10                              regulation of binding  6.049045e-07   \n",
       "11                  skeletal muscle organ development  8.044321e-07   \n",
       "12  regulation of transcription regulatory region ...  2.464767e-06   \n",
       "13                          regulation of DNA binding  3.105032e-06   \n",
       "14           regulation of osteoblast differentiation  8.047476e-06   \n",
       "\n",
       "    QValueFDRBH  QValueFDRBY  QValueBonferroni  TotalGenes  GenesInTerm  \\\n",
       "10     0.000744     0.006028          0.001119       20669          474   \n",
       "11     0.000744     0.006028          0.001488       20669          334   \n",
       "12     0.001436     0.011633          0.004560       20669           60   \n",
       "13     0.001436     0.011633          0.005744       20669          144   \n",
       "14     0.002782     0.022532          0.014888       20669          175   \n",
       "\n",
       "    GenesInQuery  GenesInTermInQuery Source URL  \\\n",
       "10            33                   8              \n",
       "11            33                   7              \n",
       "12            33                   4              \n",
       "13            33                   5              \n",
       "14            33                   5              \n",
       "\n",
       "                                    Gene_Symbol  \n",
       "10  ID2,MSX1,CAV1,IFI16,MARK3,ANXA2,TWIST1,H1-0  \n",
       "11      NGFR,FOXP1,CAV1,BASP1,HSPA8,DDX5,TWIST1  \n",
       "12                         ID2,MSX1,TWIST1,H1-0  \n",
       "13                   ID2,MSX1,IFI16,TWIST1,H1-0  \n",
       "14                   ID2,LMNA,IFI16,DDX5,TWIST1  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_annot = Tannot.get_analysis(metagene = 'metagene 12')\n",
    "\n",
    "#We only display GO biological processes, pathways and pubmed articles\n",
    "\n",
    "GO_processes = df_annot['Category']== 'GeneOntologyBiologicalProcess'\n",
    "pathways = df_annot['Category']== 'Pathway'\n",
    "pubmed = df_annot['Category']== 'Pubmed'\n",
    "\n",
    "df_annot[GO_processes | pathways | pubmed].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bd6952d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "potential_ccycle_genes = [0, 2, 5, 6, 7, 9, 10]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abf4744b",
   "metadata": {},
   "source": [
    "## 4. Cell cycle visualization in 2D\n",
    "\n",
    "We can now display the pairwise scatter plots of the cell cycle ICA components selected above. For each of these plots we can highlight the total number of counts for each cell (which was saved before the normalization step) with a color scale blue-green-yellow. The total number of counts should grow along the cell cyle until the mitosis and experience a significant drop just after it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a83a191e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x17509c665b0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1260x1260 with 56 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(Metasamples.iloc[: , potential_ccycle_genes] , diag_kind=\"kde\" , plot_kws={\"s\": 5 , \"c\" : adata.obs['total_counts'].values , \"cmap\" : 'viridis'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "adc8faf5",
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (13 , 7))\n",
    "im = ax.scatter(adata.obsm['sica_metasamples'][: , 5] , adata.obsm['sica_metasamples'][: , 7] , s=5 , c = adata.obs['total_counts'].values , cmap = 'viridis')\n",
    "ax.set_title(\"Cell cycle (using metasamples)\" , fontsize = 14)\n",
    "ax.set_xlabel(\"G1/S metagene\" , fontsize = 14)\n",
    "ax.set_ylabel(\"G2/M metagene\" , fontsize = 14)\n",
    "cbar = fig.colorbar(im, ax=ax)\n",
    "cbar.set_label(\"Total counts\" , fontsize = 14 , rotation=270 , labelpad=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e5933ca",
   "metadata": {},
   "source": [
    "Instead of using the raw results of ICA (i.e metasamples) for plotting the cell cyle we can simply retrieve the top expressed genes of the ICA components of interest and plot their average expression. This may be considered as a more simple and interpretable process. We simply display gene expressions rather than metasamples which are obtained from more complex computations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "381a7f33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'G2/M metagene')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def fun(row , metagene):\n",
    "    return (row in Tannot.top_genes_.loc[metagene]['inputs'])\n",
    "\n",
    "var_x = adata.var[adata.var['Accession'].apply(fun , metagene = 'metagene 5')].index\n",
    "var_y = adata.var[adata.var['Accession'].apply(fun , metagene = 'metagene 7')].index\n",
    "\n",
    "plt.figure(figsize = (10 , 7))\n",
    "plt.scatter(np.mean(adata[:,var_x].X , axis = 1) , np.mean(adata[:,var_y].X , axis = 1) , s=5 , c = adata.obs['total_counts'].values , cmap = 'viridis' )\n",
    "plt.title(\"Cell cycle (using average of top expressed genes)\" , fontsize = 14)\n",
    "plt.xlabel(\"G1/S metagene\" , fontsize = 14)\n",
    "plt.ylabel(\"G2/M metagene\" , fontsize = 14)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2722e685",
   "metadata": {},
   "source": [
    "## 4. Cell cycle visualization in 3D (optional)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "966ecde2-aa40-4860-8cc8-b2ffe954205c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.graph_objects as go"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "c723b6a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        define('plotly', function(require, exports, module) {\n",
       "            /**\n",
       "* plotly.js v2.4.2\n",
       "* Copyright 2012-2021, Plotly, Inc.\n",
       "* All rights reserved.\n",
       "* Licensed under the MIT license\n",
       "*/\n",
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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 p=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,H)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,H)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?h(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),d(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number 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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 m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff 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e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(y,v),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(x,v),i(b,v),i(_,v),_.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(m[t])return m[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return m[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.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\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return 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r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:115}],107:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],108:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":110,\"./lib/sweep\":114,\"typedarray-pool\":617}],109:[function(t,e,r){\"use strict\";var n=[\"d\",\"ax\",\"vv\",\"rs\",\"re\",\"rb\",\"ri\",\"bs\",\"be\",\"bb\",\"bi\"];function i(t){var 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m\".replace(\"_\",n.join()).replace(\"$\",t)),Function.apply(void 0,r)}},{}],113:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=128?n(0,e-1,t):function t(e,r,u){var f=(r-e+1)/6|0,h=e+f,p=r-f,d=e+r>>1,g=d-f,m=d+f,v=h,y=g,x=d,b=m,_=p,w=e+1,T=r-1,k=0;l(v,y,u)&&(k=v,v=y,y=k);l(b,_,u)&&(k=b,b=_,_=k);l(v,x,u)&&(k=v,v=x,x=k);l(y,x,u)&&(k=y,y=x,x=k);l(v,b,u)&&(k=v,v=b,b=k);l(x,b,u)&&(k=x,x=b,b=k);l(y,_,u)&&(k=y,y=_,_=k);l(y,x,u)&&(k=y,y=x,x=k);l(b,_,u)&&(k=b,b=_,_=k);for(var A=u[2*y],M=u[2*y+1],S=u[2*b],E=u[2*b+1],L=2*v,C=2*x,P=2*_,I=2*h,O=2*d,z=2*p,D=0;D<2;++D){var R=u[L+D],F=u[C+D],B=u[P+D];u[I+D]=R,u[O+D]=F,u[z+D]=B}a(g,e,u),a(m,r,u);for(var N=w;N<=T;++N)if(c(N,A,M,u))N!==w&&i(N,w,u),++w;else if(!c(N,S,E,u))for(;;){if(c(T,S,E,u)){c(T,A,M,u)?(o(N,w,T,u),++w,--T):(i(N,T,u),--T);break}if(--T<N)break}s(e,w-1,A,M,u),s(r,T+1,S,E,u),w-2-e<=32?n(e,w-2,u):t(e,w-2,u);r-(T+2)<=32?n(T+2,r,u):t(T+2,r,u);T-w<=32?n(w,T,u):t(w,T,u)}(0,e-1,t)};function n(t,e,r){for(var 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c(t){if(\"function\"!=typeof t)throw new TypeError('The \"listener\" argument must be of type Function. 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       "/*!\n",
       " * The buffer module from node.js, for the browser.\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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h=a/2,p=s/2,d=g(h),m=o(h),y=g(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*m*k),M=A*A,S=L(2/(1+M)),E=(w*b+(m+d)*k)/(w*b+(m-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*m*b+k)/(2*(b+w*m*k)*(b+w*m*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(m-d))*U*C,V=(w*m*b*k+T)/U,q=-w*d*y/(k*U),H=P*N-2*V/C+S*(V+V/E),G=P*j-2*q/C+S*(q+q/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(q-q/E),X=G*Y-W*H;if(!X)break;var Z=(z*G-O*W)/X,J=(O*Y-z*H)/X;a-=Z,s=u(-x,f(x,s-J))}while((n(Z)>v||n(J)>v)&&--l>0);return n(n(s)-x)<v?[0,s]:l&&[a,s]};var wt=o(35*M);function Tt(t,e){var r=m(e/2);return[t*wt*L(1-r*r),(1+wt)*r]}function kt(t,e){var r=e/2,n=o(r);return[2*t/T*o(e)*n*n,T*m(r)]}function At(t){var e=1-t,r=i(y,0)[0]-i(-y,0)[0],n=L(2*(i(0,x)[1]-i(0,-x)[1])/r);function i(r,n){var i=o(n),a=g(n);return[i/(e+t*i)*r,e*n+t*a]}function a(t,e){var r=i(t,e);return[r[0]*n,r[1]/n]}function s(t){return a(0,t)[1]}return a.invert=function(r,i){var a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(m(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(g(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),m=a(f,u),b=i*p(m/i),_=m-b,w=t*o(_),T=(t*g(_)-_*g(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*g(u),u<x&&(f-=T*(u-x));var E=g(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*g(d);for(var m=r-x,v=g(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*g(b),k=t*o(b),A=g(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*m-l)/(v-2*m*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*g(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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s=i(t,a);t=s[0],a=s[1];var l=g(a),c=o(a),u=o(t),f=E(e*l+r*c*u),h=g(f),p=n(h)>v?f/h:1;return[p*r*g(t),(n(t)>x?p:-p)*(e*c-r*l*u)]}return i.invert=qt(-t),s.invert=function(t,r){var n=L(t*t+r*r),s=-g(n),l=o(n),c=n*l,u=-r*s,f=n*e,h=L(c*c+u*u-f*f),p=a(c*f+u*h,u*f-c*h),d=(n>x?-1:1)*a(t*s,n*o(p)*l+r*g(p)*s);return i.invert(d,p)},s}function qt(t){var e=g(t),r=o(t);return function(t,n){var i=o(n),s=o(t)*i,l=g(t)*i,c=g(n);return[a(l,s*r-c*e),S(c*r+s*e)]}}Bt.invert=function(t,e){n(t)>1&&(t=2*d(t)-t),n(e)>1&&(e=2*d(e)-e);var r=d(t),i=d(e),s=-r*t,l=-i*e,c=l/s<1,u=function(t,e){var r=0,i=1,a=.5,s=50;for(;;){var l=a*a,c=L(a),u=S(1/L(1+l)),f=1-l+a*(1+l)*u,h=(1-c)/f,p=L(h),d=h*(1+l),g=p*(1-l),m=L(d-t*t),v=e+g+a*m;if(n(i-r)<1e-12||0==--s||0===v)break;v>0?r=a:i=a,a=.5*(r+i)}if(!s)return null;var x=S(c),b=o(x),_=1/b,w=2*c*b,T=(-f*b-(-3*a+u*(1+3*l))*w*(1-c))/(f*f);return[y/4*(t*(-2*_*(.5*T/p*(1-l)-2*a*p*w)+-_*w*m)+-_*(a*(1+l)*T+h*(1+3*l)*w)*S(t/L(d))),x]}(c?l:s,c?s:l),f=u[0],h=u[1],p=o(h);return c&&(f=-x-f),[r*(a(g(f)*p,-g(h))+y),i*S(o(f)*p)]},Ut.invert=function(t,e){var r,n,o,l,u,f,h=(w-1)/(w+1),p=L(1-h*h),d=jt(x,p*p),g=(n=-t,o=p*p,(r=.5*d-e)?(l=Nt(r,o),n?(f=(u=Nt(n,1-o))[1]*u[1]+o*l[0]*l[0]*u[0]*u[0],[[l[0]*u[2]/f,l[1]*l[2]*u[0]*u[1]/f],[l[1]*u[1]/f,-l[0]*l[2]*u[0]*u[2]/f],[l[2]*u[1]*u[2]/f,-o*l[0]*l[1]*u[0]/f]]):[[l[0],0],[l[1],0],[l[2],0]]):[[0,(u=Nt(n,1-o))[0]/u[1]],[1/u[1],0],[u[2]/u[1],0]]),m=function(t,e){var r=e[0]*e[0]+e[1]*e[1];return[(t[0]*e[0]+t[1]*e[1])/r,(t[1]*e[0]-t[0]*e[1])/r]}(g[0],g[1]);return[a(m[1],m[0])/-1,2*i(s(-.5*c(h*m[0]*m[0]+h*m[1]*m[1])))-x]};var Ht=S(1-1/3)*A,Gt=ht(0);function Yt(t){var e=Ht*M,r=lt(y,e)[0]-lt(-y,e)[0],i=Gt(0,e)[1],a=lt(0,e)[1],o=T-a,s=k/t,c=4/k,h=i+o*o*4/k;function p(p,d){var g,m=n(d);if(m>e){var v=f(t-1,u(0,l((p+y)/s)));(g=lt(p+=y*(t-1)/t-v*s,m))[0]=g[0]*k/r-k*(t-1)/(2*t)+v*k/t,g[1]=i+4*(g[1]-a)*o/k,d<0&&(g[1]=-g[1])}else g=Gt(p,d);return g[0]*=c,g[1]/=h,g}return p.invert=function(e,p){e/=c;var d=n(p*=h);if(d>i){var 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n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(q[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)q[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=k*U[C]*this.labelPad[C]/r[5*C];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":259,\"./lib/cube.js\":260,\"./lib/lines.js\":261,\"./lib/text.js\":263,\"./lib/ticks.js\":264}],259:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":262,\"gl-buffer\":267,\"gl-vao\":361}],260:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":104,\"gl-mat4/multiply\":301,\"robust-orientation\":548,\"split-polygon\":567}],261:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":262,\"gl-buffer\":267,\"gl-vao\":361}],262:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? 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n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":260,\"extract-frustum-planes\":248,\"gl-mat4/multiply\":301,\"gl-mat4/transpose\":312,\"gl-vec4/transformMat4\":432,\"split-polygon\":567}],267:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof 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r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":269,\"./lib/shaders\":270,\"gl-vec3\":380}],269:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:137,\"gl-buffer\":267,\"gl-mat4/invert\":299,\"gl-mat4/multiply\":301,\"gl-shader\":339,\"gl-texture2d\":356,\"gl-vao\":361,ndarray:483}],270:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var 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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":356}],277:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":72,\"gl-constants/lookup\":272,\"glsl-shader-name\":434,\"sprintf-js\":568}],278:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(O+U):C*b+O],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,X=4*(H+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":279,\"binary-search-bounds\":103,\"gl-buffer\":267,\"gl-shader\":339,\"iota-array\":451,\"typedarray-pool\":617}],279:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:442}],280:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":339,glslify:282}],281:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":280,\"binary-search-bounds\":103,\"gl-buffer\":267,\"gl-texture2d\":356,\"gl-vao\":361,ndarray:483}],282:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],283:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15];return t[0]=s*(h*v-p*m)-f*(l*v-c*m)+g*(l*p-c*h),t[1]=-(n*(h*v-p*m)-f*(i*v-a*m)+g*(i*p-a*h)),t[2]=n*(l*v-c*m)-s*(i*v-a*m)+g*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*m)-u*(l*v-c*m)+d*(l*p-c*h)),t[5]=r*(h*v-p*m)-u*(i*v-a*m)+d*(i*p-a*h),t[6]=-(r*(l*v-c*m)-o*(i*v-a*m)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*g)-u*(s*v-c*g)+d*(s*p-c*f),t[9]=-(r*(f*v-p*g)-u*(n*v-a*g)+d*(n*p-a*f)),t[10]=r*(s*v-c*g)-o*(n*v-a*g)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*m-h*g)-u*(s*m-l*g)+d*(s*h-l*f)),t[13]=r*(f*m-h*g)-u*(n*m-i*g)+d*(n*h-i*f),t[14]=-(r*(s*m-l*g)-o*(n*m-i*g)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],284:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,g=a*o,m=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-m,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=h+m,t[9]=p-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],289:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o=r[0],s=r[1],l=r[2],c=Math.sqrt(o*o+s*s+l*l);if(Math.abs(c)<1e-6)return null;return o*=c=1/c,s*=c,l*=c,n=Math.sin(e),i=Math.cos(e),a=1-i,t[0]=o*o*a+i,t[1]=s*o*a+l*n,t[2]=l*o*a-s*n,t[3]=0,t[4]=o*s*a-l*n,t[5]=s*s*a+i,t[6]=l*s*a+o*n,t[7]=0,t[8]=o*l*a+s*n,t[9]=s*l*a-o*n,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,g=a*c,m=o*s,v=o*l,y=o*c;return t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],291:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],292:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],293:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],294:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],295:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],296:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],297:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],298:[function(t,e,r){e.exports={create:t(\"./create\"),clone:t(\"./clone\"),copy:t(\"./copy\"),identity:t(\"./identity\"),transpose:t(\"./transpose\"),invert:t(\"./invert\"),adjoint:t(\"./adjoint\"),determinant:t(\"./determinant\"),multiply:t(\"./multiply\"),translate:t(\"./translate\"),scale:t(\"./scale\"),rotate:t(\"./rotate\"),rotateX:t(\"./rotateX\"),rotateY:t(\"./rotateY\"),rotateZ:t(\"./rotateZ\"),fromRotation:t(\"./fromRotation\"),fromRotationTranslation:t(\"./fromRotationTranslation\"),fromScaling:t(\"./fromScaling\"),fromTranslation:t(\"./fromTranslation\"),fromXRotation:t(\"./fromXRotation\"),fromYRotation:t(\"./fromYRotation\"),fromZRotation:t(\"./fromZRotation\"),fromQuat:t(\"./fromQuat\"),frustum:t(\"./frustum\"),perspective:t(\"./perspective\"),perspectiveFromFieldOfView:t(\"./perspectiveFromFieldOfView\"),ortho:t(\"./ortho\"),lookAt:t(\"./lookAt\"),str:t(\"./str\")}},{\"./adjoint\":283,\"./clone\":284,\"./copy\":285,\"./create\":286,\"./determinant\":287,\"./fromQuat\":288,\"./fromRotation\":289,\"./fromRotationTranslation\":290,\"./fromScaling\":291,\"./fromTranslation\":292,\"./fromXRotation\":293,\"./fromYRotation\":294,\"./fromZRotation\":295,\"./frustum\":296,\"./identity\":297,\"./invert\":299,\"./lookAt\":300,\"./multiply\":301,\"./ortho\":302,\"./perspective\":303,\"./perspectiveFromFieldOfView\":304,\"./rotate\":305,\"./rotateX\":306,\"./rotateY\":307,\"./rotateZ\":308,\"./scale\":309,\"./str\":310,\"./translate\":311,\"./transpose\":312}],299:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],300:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":297}],301:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],302:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],303:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],304:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],305:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],306:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],307:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],308:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],309:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],310:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],311:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],312:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],313:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:85,\"polytope-closest-point/lib/closest_point_2d.js\":512}],314:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:442}],315:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":313,\"./lib/shaders\":314,colormap:137,\"gl-buffer\":267,\"gl-mat4/invert\":299,\"gl-mat4/multiply\":301,\"gl-shader\":339,\"gl-texture2d\":356,\"gl-vao\":361,ndarray:483,normals:486,\"simplicial-complex-contour\":557,\"typedarray-pool\":617}],316:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":319,\"gl-buffer\":267,\"gl-shader\":339}],317:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":319,\"binary-search-bounds\":103,\"gl-buffer\":267,\"gl-shader\":339}],318:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":319,\"gl-buffer\":267,\"gl-shader\":339}],319:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:321}],320:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":319,\"binary-search-bounds\":103,\"gl-buffer\":267,\"gl-shader\":339,\"text-cache\":596}],321:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],322:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":316,\"./lib/grid\":317,\"./lib/line\":318,\"./lib/text\":320,\"gl-select-static\":338}],323:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":55,\"has-passive-events\":444,\"mouse-change\":470,\"mouse-event-offset\":471,\"mouse-wheel\":473,\"right-now\":542}],324:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":339,glslify:325}],325:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],326:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":323,\"./lib/shader\":324,\"a-big-triangle\":70,\"gl-axes3d\":258,\"gl-axes3d/properties\":266,\"gl-fbo\":276,\"gl-mat4/ortho\":302,\"gl-mat4/perspective\":303,\"gl-select-static\":338,\"gl-spikes3d\":349,\"is-mobile\":455,\"mouse-change\":470}],327:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:442}],328:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":327,\"gl-buffer\":267,\"gl-shader\":339,\"typedarray-pool\":617}],329:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],330:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],331:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":623}],332:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":339,glslify:333}],333:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],334:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+H*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":330,\"./lib/glyphs\":331,\"./lib/shaders\":332,\"gl-buffer\":267,\"gl-mat4/multiply\":301,\"gl-vao\":361,\"is-string-blank\":458,\"typedarray-pool\":617}],335:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:336}],336:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],337:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":335,\"gl-buffer\":267,\"gl-shader\":339}],338:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function 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a=[t.id,e.id,r.join(\":\"),i.join(\":\")].join(\"@\"),o=this.programs[a];return o&&this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s<i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,\"Error linking program: \"+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{\"./GLError\":340,\"gl-format-compiler-error\":277,\"weakmap-shim\":628}],346:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}e.exports=function(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r};var 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1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":339,glslify:347}],349:[function(t,e,r){\"use strict\";var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":348,\"gl-buffer\":267,\"gl-vao\":361}],350:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:351}],351:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],352:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":350,\"gl-cone3d\":268,\"gl-vec3\":380,\"gl-vec4\":416}],353:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":339,glslify:442}],354:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var vt=q?ht:1-ht;if(W=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":353,\"binary-search-bounds\":103,\"bit-twiddle\":104,colormap:137,\"gl-buffer\":267,\"gl-mat4/invert\":299,\"gl-mat4/multiply\":301,\"gl-texture2d\":356,\"gl-vao\":361,ndarray:483,\"ndarray-gradient\":476,\"ndarray-ops\":478,\"ndarray-pack\":479,\"surface-nets\":591,\"typedarray-pool\":617}],355:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},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),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":104,\"color-normalize\":131,\"css-font\":150,\"detect-kerning\":181,\"es6-weak-map\":241,\"flatten-vertex-data\":252,\"font-atlas\":253,\"font-measure\":254,\"gl-util/context\":357,\"is-plain-obj\":457,\"object-assign\":487,\"parse-rect\":492,\"parse-unit\":494,\"pick-by-alias\":498,regl:540,\"to-px\":600,\"typedarray-pool\":617}],356:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var 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f(this.rightPoints,t,e)}return h(this.leftPoints,e)},a.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?f(this.rightPoints,t,r):h(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new i(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":449}],449:[function(t,e,r){arguments[4][251][0].apply(r,arguments)},{dup:251}],450:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],451:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],452:[function(t,e,r){e.exports=!0},{}],453:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],454:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],455:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],456:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],457:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],458:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],459:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],460:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],461:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,i){if(t)if(e){var a=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=i(o)).workerUrl=window.URL.createObjectURL(new Blob([a],{type:\"text/javascript\"}))}else e=i;else t=i}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,i,a,o;for(void 0===e&&(e=1e-6),i=t,o=0;o<8;o++){if(a=this.sampleCurveX(i)-t,Math.abs(a)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=a/s}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(a=this.sampleCurveX(i),Math.abs(a-t)<e)return i;t>a?r=i:n=i,i=.5*(n-r)+r}return i},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var i=a;function a(t,e){this.x=t,this.y=e}function o(t,e,n,i){var a=new r(t,e,n,i);return function(t){return a.solve(t)}}a.prototype={clone:function(){return new a(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return 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 this.x=i,this.y=a,this},_round:function(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}},a.convert=function(t){return t instanceof a?t:Array.isArray(t)?new a(t[0],t[1]):t};var s=o(.25,.1,.25,1);function l(t,e,r){return Math.min(r,Math.max(e,t))}function c(t,e,r){var n=r-e,i=((t-e)%n+n)%n+e;return i===e?r:i}function u(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,i=e;n<i.length;n+=1){var a=i[n];for(var o in a)t[o]=a[o]}return t}var f=1;function h(){return f++}function p(){return function t(e){return e?(e^16*Math.random()>>e/4).toString(16):([1e7]+-[1e3]+-4e3+-8e3+-1e11).replace(/[018]/g,t)}()}function d(t){return!!t&&/^[0-9a-f]{8}-[0-9a-f]{4}-[4][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i.test(t)}function g(t,e){t.forEach((function(t){e[t]&&(e[t]=e[t].bind(e))}))}function m(t,e){return-1!==t.indexOf(e,t.length-e.length)}function v(t,e,r){var n={};for(var i in t)n[i]=e.call(r||this,t[i],i,t);return n}function y(t,e,r){var n={};for(var i 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r=X(t),n=R.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=B.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=(.*)$/);if(n)return n[1]}return null}(r.params)||F.ACCESS_TOKEN;return F.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))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&&H(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 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new qe(i,r,n)},qe.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},qe.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},qe.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},qe.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:He,color:function(t,e,r){return new te(He(t.r,e.r,r),He(t.g,e.g,r),He(t.b,e.b,r),He(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return He(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:He(t.l,e.l,r),a:He(t.a,e.a,r),b:He(t.b,e.b,r),alpha:He(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:He(t.c,e.c,r),l:He(t.l,e.l,r),alpha:He(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?qt:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||qt));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,qt),n=e.parse(t[2],2,qt);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,qt])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,qt),n=e.parse(t[2],2,qt);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,qt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var 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.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);qi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",qi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);Hi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",Hi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=qa(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=qa(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function qa(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),qs=Math.pow(2,14)/.5,Hs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Hs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},Hs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Hs.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)}},Hs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Hs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Hs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Hs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Hs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Hs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],m=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},Hs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>qs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Hs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},Hs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(qs-1):this.distance},Hs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",Hs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new Hs(t)},e.prototype.queryRadius=function(t){var e=t,r=Zs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Zs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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el(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r,{});return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),hi.applyArabicShaping&&(t=hi.applyArabicShaping(t)),t}(t.text,e,r)})),t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],q=V&&V[L];if(!q)continue;P=q.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var H=h-c;d=Math.max(H,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),q=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(q),D._rotateAround(N,B)._add(V)._add(q),R._rotateAround(N,B)._add(V)._add(q),F._rotateAround(N,B)._add(V)._add(q)}if(c){var H=Math.sin(c),G=Math.cos(c),Y=[G,-H,H,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(qi,$s.members,Qi),this.iconCollisionBox=new Ac(qi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var qc=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()})};qc.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))},qc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Hc=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 qc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Hc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:qn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Hc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Hc.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)}},Hc.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(Hn(e.error)):n(null,Hn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?qn(e):null,data:qn(n,a)},a)}:function(t){i=!0},s=null,l=Hn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Hc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=He,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function q(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function H(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?H(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?H(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),qe=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),He=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(qe,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);He.getSourceType=function(t){return D[t]},He.setSourceType=function(t,e){D[t]=e},He.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:qr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function qr(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 Hr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!Hr||Hr.length<2*h)&&(Hr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Hr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var q=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||q||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var H=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,H),Y=$t(M.posMatrix,v,m,e.transform,H),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),M.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var qn=function(t){this.reset(),this.numTouches=t.numTouches};qn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},qn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},qn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},qn.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 Hn=function(t){this.singleTap=new qn(t),this.numTaps=t.numTaps,this.reset()};Hn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Hn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Hn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Hn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new Hn({numTouches:1,numTaps:2}),this._zoomOut=new Hn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new Hn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new He(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 He(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},qi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Hi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}qi.prototype.getDefaultPosition=function(){return\"bottom-left\"},qi.prototype._onMove=function(){Hi(this._map,this._container,this.options)},qi.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},qi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},qi.prototype.setUnit=function(t){this.options.unit=t,Hi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:qi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:He,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],462:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t(\"convex-hull\");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],f=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;f.push(a[u[s]].slice())}c.push(f)}return c}},{\"convex-hull\":141}],463:[function(t,e,r){var n=t(\"./normalize\"),i=t(\"gl-mat4/create\"),a=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,A=u[3],M=u[7],S=u[11],E=u[12],L=u[13],C=u[14],P=u[15];if(0!==A||0!==M||0!==S){if(h[0]=A,h[1]=M,h[2]=S,h[3]=P,!s(f,f))return!1;l(f,f),y=m,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=L,e[2]=C,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":464,\"gl-mat4/clone\":284,\"gl-mat4/create\":286,\"gl-mat4/determinant\":287,\"gl-mat4/invert\":299,\"gl-mat4/transpose\":312,\"gl-vec3/cross\":368,\"gl-vec3/dot\":373,\"gl-vec3/length\":383,\"gl-vec3/normalize\":390}],464:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],465:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),i=t(\"mat4-recompose\"),a=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function 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n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{\"gl-mat4/create\":286,\"gl-mat4/fromRotationTranslation\":290,\"gl-mat4/identity\":297,\"gl-mat4/multiply\":301,\"gl-mat4/scale\":309,\"gl-mat4/translate\":311}],467:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],468:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),i=t(\"mat4-interpolate\"),a=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),f=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),h=[0,0,0];function 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       "/*!\n",
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       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
       "var n,i=t(\"./lib/build-log\"),a=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return 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f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],511:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return 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n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:569,\"stream-parser\":585}],514:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF 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0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],515:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return\"avif\"===e||\"avis\"===e||\"avio\"===e?{type:\"avif\",mime:\"image/avif\"}:\"heic\"===e||\"heix\"===e?{type:\"heic\",mime:\"image/heic\"}:\"hevc\"===e||\"hevx\"===e?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}},{\"./common\":513}],516:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=t(\"../miaf_utils\"),s=t(\"../exif_utils\"),l=n(\"ftyp\");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,\"mdat\"===u.boxtype)return;if(\"meta\"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:\"px\",hUnits:\"px\"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),g=s.get_orientation(d);g>0&&(h.orientation=g)}return h}}}}}}},{\"../common\":513,\"../exif_utils\":514,\"../miaf_utils\":515}],517:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"BM\");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":513}],518:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"GIF87a\"),s=n(\"GIF89a\");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":513}],519:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var 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n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},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 sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(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 sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, 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borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return 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r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data 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t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var 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E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return 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i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return 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s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag 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u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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       " * Licensed under the MIT License.\n",
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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":644,\"object-assign\":487}],636:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":644,\"object-assign\":487}],642:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":803,\"../../plot_api/plot_template\":843,\"../../registry\":931}],652:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":803,\"../color\":666}],653:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":831,\"fast-isnumeric\":249}],654:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":803,\"../../plots/array_container_defaults\":849,\"../../plots/cartesian/axes\":854,\"./attributes\":649,\"./common_defaults\":652}],655:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*H($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,q-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(m(Y,H,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var 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n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":803,\"../../plots/array_container_defaults\":849,\"../../plots/cartesian/axes\":854,\"../annotations/common_defaults\":652,\"./attributes\":658}],661:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,i=t(\"../../plots/gl3d/project\"),a=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var 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g={xcalendar:p(d(\"x\"))},m=i.extendFlat({},g,{ycalendar:p(d(\"y\"))}),v=i.extendFlat({},m,{zcalendar:p(d(\"z\"))}),y=p([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. 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B,V,q,H,G,Y,W,X,Z,J,K,Q,$,tt=[],et=[],rt={hLinePoint:null,vLinePoint:null},nt=!1;if(Array.isArray(e))for(S=\"array\",q=0;q<e.length;q++)(G=t.calcdata[e[q].curveNumber||0])&&(Y=G[0].trace,\"skip\"!==G[0].trace.hoverinfo&&(et.push(G),\"h\"===Y.orientation&&(nt=!0)));else{for(H=0;H<t.calcdata.length;H++)G=t.calcdata[H],\"skip\"!==(Y=G[0].trace).hoverinfo&&v.isTraceInSubplots(Y,s)&&(et.push(G),\"h\"===Y.orientation&&(nt=!0));var it,at;if(!e.target)it=\"xpx\"in e?e.xpx:b[0]._length/2,at=\"ypx\"in e?e.ypx:_[0]._length/2;else{if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var ot=e.composedPath&&e.composedPath()[0];ot||(ot=e.target);var st=ot.getBoundingClientRect();it=e.clientX-st.left,at=e.clientY-st.top,l._calcInverseTransform(t);var lt=o.apply3DTransform(l._invTransform)(it,at);if(it=lt[0],at=lt[1],it<0||it>b[0]._length||at<0||at>_[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=it+b[0]._offset,e.pointerY=at+_[0]._offset,B=\"xval\"in e?v.flat(s,e.xval):v.p2c(b,it),V=\"yval\"in e?v.flat(s,e.yval):v.p2c(_,at),!i(B[0])||!i(V[0]))return o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(H=0;H<et.length;H++)if((G=et[H])&&G[0]&&G[0].trace&&!0===(Y=G[0].trace).visible&&0!==Y._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(Y._module.name)){if(\"splom\"===Y.type?W=s[X=0]:(W=v.getSubplot(Y),X=s.indexOf(W)),Z=S,v.isUnifiedHover(Z)&&(Z=Z.charAt(0)),Q={cd:G,trace:Y,xa:b[X],ya:_[X],maxHoverDistance:P,maxSpikeDistance:O,index:!1,distance:Math.min(ct,P),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:Y.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},l[W]&&(Q.subplot=l[W]._subplot),l._splomScenes&&l._splomScenes[Y.uid]&&(Q.scene=l._splomScenes[Y.uid]),$=tt.length,\"array\"===Z){var n=e[H];\"pointNumber\"in n?(Q.index=n.pointNumber,Z=\"closest\"):(Z=\"\",\"xval\"in n&&(J=n.xval,Z=\"x\"),\"yval\"in 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x=y[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!rt.hLinePoint||rt.hLinePoint.spikeDistance>h.spikeDistance)&&(rt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:l,container:l._hoverlayer,event:e},dt=t._spikepoints,gt={vLinePoint:rt.vLinePoint,hLinePoint:rt.hLinePoint};t._spikepoints=gt;var mt=function(){tt.sort((function(t,e){return t.distance-e.distance})),tt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(tt,S)};mt();var vt=S.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&tt[0]&&L[tt[0].trace.type];if(g&&0!==O&&0!==tt.length){var xt=ft(tt.filter((function(t){return t.ya.showspikes})),O,yt);rt.hLinePoint=ht(xt);var bt=ft(tt.filter((function(t){return t.xa.showspikes})),O,yt);rt.vLinePoint=ht(bt)}if(0===tt.length){var _t=d.unhoverRaw(t,e);return!g||null===rt.hLinePoint&&null===rt.vLinePoint||F(dt)&&R(t,rt,pt),_t}g&&F(dt)&&R(t,rt,pt);if(v.isXYhover(Z)&&0!==tt[0].length&&\"splom\"!==tt[0].trace.type){var wt=tt[0],Tt=(tt=E[wt.trace.type]?tt.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,l),At=N(\"y\",wt,l);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(tt[Mt]);for(Mt=tt.length-1;Mt>Tt-1;Mt--)Ct(tt[Mt]);tt=St,mt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<tt.length;q++){var Dt=tt[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),qt=Math.max(Bt,Nt),Ht=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:qt+zt,y0:Ht+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===S&&(et.length>1||tt.length>1)||\"closest\"===S&&nt&&tt.length>1,Wt=p.combine(l.plot_bgcolor||p.background,l.paper_bgcolor),Xt=I(tt,{gd:t,hovermode:S,rotateLabels:Yt,bgColor:Wt,container:l._hoverlayer,outerContainer:l._paper.node(),commonLabelOpts:l.hoverlabel,hoverdistance:l.hoverdistance});v.isUnifiedHover(S)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",l),z(Xt,Yt,l._invScaleX,l._invScaleY));if(e.target&&e.target.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(e.target),Zt?\"pointer\":\"\")}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:b,yaxes:_,xvals:B,yvals:V})}(t,e,r,a)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{},T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=g.getBoundingClientRect(),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var V=Array.isArray(j)?j:j.split(\"+\");if(-1===V.indexOf(\"all\")&&-1===V.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=l.node().getBoundingClientRect();if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom 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n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":803,\"../../plot_api/plot_template\":843,\"../color\":666,\"./attributes\":725}],729:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":725,\"./defaults\":728,\"./manage\":730}],730:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),g=e._has(\"cartesian\"),m=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"sankey\"),A=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),M=o(e.hovermode),S=[];function 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}}},{\"../../lib\":803,\"./constants\":748}],758:[function(t,e,r){\"use strict\";var n=t(\"./draw\");e.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),supplyDrawNewShapeDefaults:t(\"./draw_newshape/defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"shapes\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne}},{\"../../plots/cartesian/include_components\":867,\"./attributes\":746,\"./calc_autorange\":747,\"./defaults\":749,\"./draw\":750,\"./draw_newshape/defaults\":753}],759:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":793,\"../../plot_api/edit_types\":836,\"../../plot_api/plot_template\":843,\"../../plots/animation_attributes\":848,\"../../plots/font_attributes\":883,\"../../plots/pad_attributes\":916,\"./constants\":760}],760:[function(t,e,r){\"use strict\";e.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}},{}],761:[function(t,e,r){\"use 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r=x(y,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,y.remove()}u.height=u.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*g[w],t:u.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*g[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*g[b]),i.autoMargin(t,m(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})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var g=c.lineCount(l),m=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*p;return c.positionText(l,n,m),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(c.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,u(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){var i=r.node(),o=n.select(e);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 c=L(t,n.mouse(i)[0]);function u(){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,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}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 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o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,c=T.traceFlags();c.arrays={},c.nChanges=0,c.nChangesAnim=0;var u={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:c,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],u)}(c.calc||c.plot)&&(c.fullReplot=!0);i&&c.nChanges&&c.nChangesAnim&&(c.anim=c.nChanges===c.nChangesAnim&&o?\"all\":\"some\");return c}(t,c,v,x,b,A);if(X(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(y),C=0;C<E.length;C++){var P=E[C],I=P.substring(0,5);if(\"xaxis\"===I||\"yaxis\"===I){var O=y[P]._emptyCategories;O&&O()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,v);var z=[];if(a&&(t._transitionData={},h.createTransitionData(t),z.push((function(){return 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t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},V.tickFirst=function(t,e){var r=t.r2l||Number,a=s.simpleMap(t.range,r,void 0,void 0,e),o=a[1]<a[0],l=o?Math.floor:Math.ceil,c=X(a)[0],u=t.dtick,f=r(t.tick0);if(i(u)){var 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h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var i={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==i}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||V.getTickFormat(t);n&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,c=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));if(l)if(r)\"d\"===a?c+=\", \"+l:c=l+(c?\", \"+c:\"\");else if(t._inCalcTicks&&t._prevDateHead===l){var f=St(t),h=t._realSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(c+=\"<br> \")}else 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a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var 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 U(t,e,r){var n,a,o,s;for(n=0;n<e.length;n++){var l=e[n].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(r){var u=r.points||[];for(n=0;n<e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(n=0;n<u.length;n++){var f=u[n],h=f.data,p=f.fullData;f.pointIndices?([].push.apply(h.selectedpoints,f.pointIndices),s._fullInput!==s&&[].push.apply(p.selectedpoints,f.pointIndices)):(h.selectedpoints.push(f.pointIndex),s._fullInput!==s&&p.selectedpoints.push(f.pointIndex))}}else for(n=0;n<e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var d=!1;for(n=0;n<e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,\"regl\")&&(d=!0);var g=a._module,m=g.styleOnSelect||g.style;m&&(m(t,o,o[0].node3),o[0].nodeRangePlot3&&m(t,o,o[0].nodeRangePlot3))}d&&(w(t),T(t))}function V(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],n,r);return t}function q(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?\"L\":\"M\";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push([\"Z\",r[n][0][1],r[n][0][2]])}return r}e.exports={prepSelect:function(t,e,r,i,l){var c=u(l),v=f(l),x=p(l),_=h(l),w=d(l),T=\"drawcircle\"===l,E=\"drawline\"===l||T,L=i.gd,z=L._fullLayout,D=z._zoomlayer,j=i.element.getBoundingClientRect(),H=i.plotinfo,G=I(H),Y=e-j.left,W=r-j.top;z._calcInverseTransform(L);var X=y.apply3DTransform(z._invTransform)(Y,W);Y=X[0],W=X[1];var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),g=t(\"../cartesian/axes\"),m=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/select\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function 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i=t[n],a=i[0].trace;\"choropleth\"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),d.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,g=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],g._length=y[1][1]-y[0][1],d.range=m(r,d),g.range=m(r,g);var k=(d.range[0]+d.range[1])/2,A=(g.range[0]+g.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,g.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return\"lonaxis\"===t||\"lataxis\"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e[\"show\"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(\".layer\").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};g.setConvert(l,r);var c=g.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],m=i[0];m<i[1]+2.5;m+=2.5)d.push(a(p,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,\"\",e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":861,\"has-passive-events\":444,\"mouse-change\":470,\"mouse-event-offset\":471,\"mouse-wheel\":473}],893:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":828,\"../cartesian/axes\":854}],894:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":707,\"../../constants/xmlns_namespaces\":780,\"../../plot_api/edit_types\":836,\"../cartesian\":868,\"../cartesian/attributes\":852,\"../cartesian/constants\":861,\"../get_data\":891,\"../layout_attributes\":908,\"./scene2d\":895}],895:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":684,\"../../components/fx\":706,\"../../lib/show_no_webgl_msg\":825,\"../../plots/cartesian/axes\":854,\"../../registry\":931,\"../cartesian/autorange\":853,\"../cartesian/constants\":861,\"../cartesian/constraints\":862,\"./camera\":892,\"./convert\":893,\"gl-plot2d\":322,\"gl-select-box\":337,\"gl-spikes2d\":346,\"webgl-context\":629}],896:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":707,\"../../constants/xmlns_namespaces\":780,\"../../lib\":803,\"../../plot_api/edit_types\":836,\"../get_data\":891,\"./layout/attributes\":897,\"./layout/defaults\":901,\"./layout/layout_attributes\":902,\"./scene\":906}],897:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],898:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":666,\"../../../lib/extend\":793,\"../../../plot_api/edit_types\":836,\"../../cartesian/layout_attributes\":869}],899:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":803,\"../../../plot_api/plot_template\":843,\"../../cartesian/axis_defaults\":856,\"../../cartesian/type_defaults\":880,\"./axis_attributes\":898,tinycolor2:598}],900:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":803,\"../../../lib/str2rgbarray\":828}],901:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":666,\"../../../lib\":803,\"../../../registry\":931,\"../../get_data\":891,\"../../subplot_defaults\":925,\"./axis_defaults\":899,\"./layout_attributes\":902}],902:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":803,\"../../../lib/extend\":793,\"../../domain\":882,\"./axis_attributes\":898}],903:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":828}],904:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":803,\"../../cartesian/axes\":854}],905:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],906:[function(t,e,r){\"use strict\";var n,i,a=t(\"gl-plot3d\"),o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c,u=Object.keys(e.traces),h=null,g=e.glplot.selection,m=0;m<u.length;++m)\"skip\"!==(t=e.traces[u[m]]).data.hoverinfo&&t.handlePick(g)&&(h=t),t.setContourLevels&&t.setContourLevels();function y(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==h){var x=v(e.glplot.cameraParams,g.dataCoordinate);t=h.data;var _,w=r._fullData[t.index],T=g.index,k={xLabel:y(\"x\",g.traceCoordinate[0],t.xhoverformat),yLabel:y(\"y\",g.traceCoordinate[1],t.yhoverformat),zLabel:y(\"z\",g.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(w,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;w.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(g.textLabel=void 0),-1===M.indexOf(\"name\")&&(h.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=y(\"x\",g.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=y(\"y\",g.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=y(\"z\",g.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=g.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=g.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),g.textLabel&&E.push(g.textLabel),_=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(g.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),g.textLabel&&E.push(g.textLabel),_=E.join(\"<br>\")):_=g.textLabel;var L={x:g.traceCoordinate[0],y:g.traceCoordinate[1],z:g.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,g,w,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:w,x:(.5+.5*x[0]/x[3])*s,y:(.5-.5*x[1]/x[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:_,name:h.name,color:d.castHoverOption(w,T,\"bgcolor\")||h.color,borderColor:d.castHoverOption(w,T,\"bordercolor\"),fontFamily:d.castHoverOption(w,T,\"font.family\"),fontSize:d.castHoverOption(w,T,\"font.size\"),fontColor:d.castHoverOption(w,T,\"font.color\"),nameLength:d.castHoverOption(w,T,\"namelength\"),textAlign:d.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}g.buttons&&g.distance<5?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),c=C}else d.loneUnhover(n),r.emit(\"plotly_unhover\",c);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],908:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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g=c.select(s._subplot.div);if(!(null===g.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var m=e._glimages.append(\"g\");m.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),m.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),m.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=g.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var 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n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var 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strict\";var n=t(\"../../lib\"),i=t(\"../subplot_defaults\"),a=t(\"../array_container_defaults\"),o=t(\"./layout_attributes\");function s(t,e,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\"),a(t,e,{name:\"layers\",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,i){return n.coerce(t,e,o.layers,r,i)}if(r(\"visible\")){var i,a=r(\"sourcetype\"),s=\"raster\"===a||\"image\"===a;r(\"source\"),r(\"sourceattribution\"),\"vector\"===a&&r(\"sourcelayer\"),\"image\"===a&&r(\"coordinates\"),s&&(i=\"raster\");var l=r(\"type\",i);s&&\"raster\"!==l&&(l=e.type=\"raster\",n.log(\"Source types *raster* and *image* must drawn *raster* layer 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function A(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(A(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t))}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var a=r.getView();i._input.center=i.center=a.center,i._input.zoom=i.zoom=a.zoom,i._input.bearing=i.bearing=a.bearing,i._input.pitch=i.pitch=a.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(a))}t.originalEvent&&\"mouseup\"===t.originalEvent.type?r.dragging=!1:r.wheeling&&(r.wheeling=!1),e._rehover&&e._rehover()}})),i.on(\"wheel\",(function(){r.wheeling=!0})),i.on(\"mousemove\",(function(t){var e=r.div.getBoundingClientRect(),a=[t.originalEvent.offsetX,t.originalEvent.offsetY];t.target.getBoundingClientRect=function(){return e},r.xaxis.p2c=function(){return i.unproject(a).lng},r.yaxis.p2c=function(){return 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\"+d,m=o(\"title.text\",g);e._hovertitle=m===g?m:d,a.coerceFont(o,\"title.font\",{family:r.font.family,size:a.bigFont(r.font.size),color:p}),o(\"min\"),c(t,e,o,\"linear\"),s(t,e,o,\"linear\",{}),l(t,e,o,{outerTicks:!0}),o(\"showticklabels\")&&(a.coerceFont(o,\"tickfont\",{family:r.font.family,size:r.font.size,color:p}),o(\"tickangle\"),o(\"tickformat\")),u(t,e,o,{dfltColor:h,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o(\"hoverformat\"),o(\"layer\")}e.exports=function(t,e,r){o(t,e,r,{type:\"ternary\",attributes:f,handleDefaults:p,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{\"../../components/color\":666,\"../../lib\":803,\"../../plot_api/plot_template\":843,\"../cartesian/line_grid_defaults\":871,\"../cartesian/tick_label_defaults\":876,\"../cartesian/tick_mark_defaults\":877,\"../cartesian/tick_value_defaults\":878,\"../subplot_defaults\":925,\"./layout_attributes\":928}],930:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strTranslate,l=o._,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,p=t(\"../plots\"),d=t(\"../cartesian/axes\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/dragelement/helpers\"),y=v.freeMode,x=v.rectMode,b=t(\"../../components/titles\"),_=t(\"../cartesian/select\").prepSelect,w=t(\"../cartesian/select\").selectOnClick,T=t(\"../cartesian/select\").clearSelect,k=t(\"../cartesian/select\").clearSelectionsCache,A=t(\"../cartesian/constants\");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}e.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=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),p.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(c.fill,r.bgcolor)},S.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},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,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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 I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C title\"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this.graphDiv,n=t._name,i=n.charAt(0),a=t._id,s=this.layers[n],l=i+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll(\".\"+a+\"tick\").remove(),this[l]=c),t.setScale();var u=d.calcTicks(t),f=d.clipEnds(t,u),h=d.makeTransTickFn(t),p=d.getTickSigns(t)[2],g=o.deg2rad(30),m=p*(t.linewidth||1)/2,v=p*t.ticklen,y=this.w,x=this.h,b=\"b\"===i?\"M0,\"+m+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+m+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,_={a:\"M0,0l\"+x+\",-\"+y/2,b:\"M0,0l-\"+y/2+\",-\"+x,c:\"M0,0l-\"+x+\",\"+y/2}[i];d.drawTicks(r,t,{vals:\"inside\"===t.ticks?f:u,layer:s,path:b,transFn:h,crisp:!1}),d.drawGrid(r,t,{vals:f,layer:this.layers[i+\"grid\"],path:_,transFn:h,crisp:!1}),d.drawLabels(r,t,{vals:u,layer:s,transFn:h,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\",I=\"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\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=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;z(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&&m.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))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",v),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+c*h,c:f.c+u*h},T.attr(\"d\",v+\"M\"+g+\",\"+_+\"H\"+m+\"L\"+y+\",\"+w+\"L\"+g+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+g+\",\"+_+C+\"M\"+m+\",\"+_+P+\"M\"+y+\",\"+w+I)),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(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function q(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),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(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(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function H(){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,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var g=M.dragOptions.dragmode=L._fullLayout.dragmode;y(g)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===g?(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 u=L._fullLayout._invTransform,g=o.apply3DTransform(u)(r,n);r=g[0],n=g[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(),v=\"M0,\"+M.h+\"L\"+M.w/2+\", 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n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"../bar/hover\").getTraceColor,o=i.fillText,s=t(\"../scatterpolar/hover\").makeHoverPointText,l=t(\"../../plots/polar/helpers\").isPtInsidePolygon;e.exports=function(t,e,r){var c=t.cd,u=c[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,g=d?l:i.isPtInsideSector,m=t.maxHoverDistance,v=p._period||2*Math.PI,y=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);h.range[0]>h.range[1]&&(x+=Math.PI);if(n.getClosest(c,(function(t){return g(y,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?m+Math.min(1,Math.abs(t.thetag1-t.thetag0)/v)-1+(t.rp1-y)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=c[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,u,t),s(_,u,f,t),t.hovertemplate=u.hovertemplate,t.color=a(u,b),t.xLabelVal=t.yLabelVal=void 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n=t(\"../scatter/attributes\"),i=t(\"../bar/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=c.line;e.exports={y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",editType:\"calc\"},dy:{valType:\"number\",editType:\"calc\"},xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),name:{valType:\"string\",editType:\"calc+clearAxisTypes\"},q1:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},median:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},q3:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},lowerfence:{valType:\"data_array\",editType:\"calc\"},upperfence:{valType:\"data_array\",editType:\"calc\"},notched:{valType:\"boolean\",editType:\"calc\"},notchwidth:{valType:\"number\",min:0,max:.5,dflt:.25,editType:\"calc\"},notchspan:{valType:\"data_array\",editType:\"calc\"},boxpoints:{valType:\"enumerated\",values:[\"all\",\"outliers\",\"suspectedoutliers\",!1],editType:\"calc\"},jitter:{valType:\"number\",min:0,max:1,editType:\"calc\"},pointpos:{valType:\"number\",min:-2,max:2,editType:\"calc\"},boxmean:{valType:\"enumerated\",values:[!0,\"sd\",!1],editType:\"calc\"},mean:{valType:\"data_array\",editType:\"calc\"},sd:{valType:\"data_array\",editType:\"calc\"},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc+clearAxisTypes\"},quartilemethod:{valType:\"enumerated\",values:[\"linear\",\"exclusive\",\"inclusive\"],dflt:\"linear\",editType:\"calc\"},width:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},marker:{outliercolor:{valType:\"color\",dflt:\"rgba(0, 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f={xaxis:0,yaxis:1,zaxis:2},h={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[f[e]];return a(t,(function(t){return n.d2l(t)*o}))}c.vectors=l(u(e.u,\"xaxis\"),u(e.v,\"yaxis\"),u(e.w,\"zaxis\"),e._len),c.positions=l(u(e.x,\"xaxis\"),u(e.y,\"yaxis\"),u(e.z,\"zaxis\"),e._len);var d=s(e);c.colormap=o(e),c.vertexIntensityBounds=[d.min/e._normMax,d.max/e._normMax],c.coneOffset=h[e.anchor],\"scaled\"===e.sizemode?c.coneSize=e.sizeref||.5:c.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5;var g=n(c),m=e.lightposition;return g.lightPosition=[m.x,m.y,m.z],g.ambient=e.lighting.ambient,g.diffuse=e.lighting.diffuse,g.specular=e.lighting.specular,g.roughness=e.lighting.roughness,g.fresnel=e.lighting.fresnel,g.opacity=e.opacity,e._pad=p[e.anchor]*g.vectorScale*g.coneScale*e._normMax,g}u.update=function(t){this.data=t;var 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n=t(\"../heatmap/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\"),o=a.axisHoverFormat,s=a.descriptionOnlyNumbers,l=t(\"../../components/colorscale/attributes\"),c=t(\"../../components/drawing/attributes\").dash,u=t(\"../../plots/font_attributes\"),f=t(\"../../lib/extend\").extendFlat,h=t(\"../../constants/filter_ops\"),p=h.COMPARISON_OPS2,d=h.INTERVAL_OPS,g=i.line;e.exports=f({z:n.z,x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,text:n.text,hovertext:n.hovertext,transpose:n.transpose,xtype:n.xtype,ytype:n.ytype,xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:n.hovertemplate,hoverongaps:n.hoverongaps,connectgaps:f({},n.connectgaps,{}),fillcolor:{valType:\"color\",editType:\"calc\"},autocontour:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"contours.start\":void 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r=t.marker,i=e.mc||r.color,a=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(i))return i;if(n(a)&&o)return a}(u,h),[l]}}},{\"../../components/color\":666,\"../../lib\":803,\"../bar/hover\":948}],1071:[function(t,e,r){\"use 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s=r||n.select(t).selectAll(\"g.funnellayer\").selectAll(\"g.trace\");l(t,s,\"funnel\"),s.style(\"opacity\",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(\".point > path\").each((function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(a.fill,t.mc||e.color).call(a.stroke,t.mlc||e.line.color).call(i.dashLine,e.line.dash,t.mlw||e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(\".regions\").each((function(){n.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(a.fill,s.connector.fillcolor)})),r.selectAll(\".lines\").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll(\"path\"),t.width,t.color,t.dash)}))}))}}},{\"../../components/color\":666,\"../../components/drawing\":688,\"../../constants/interactions\":778,\"../bar/style\":955,\"../bar/uniform_text\":957,\"@plotly/d3\":58}],1076:[function(t,e,r){\"use strict\";var n=t(\"../pie/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c(\"labels\"),f=c(\"values\"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),m=c(\"texttemplate\");if(m||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),m||d&&\"none\"!==d){var v=c(\"textposition\");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else e.visible=!1}},{\"../../lib\":803,\"../../plots/domain\":882,\"../bar/defaults\":945,\"../pie/defaults\":1195,\"./attributes\":1076}],1080:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":1203,\"./attributes\":1076,\"./base_plot\":1077,\"./calc\":1078,\"./defaults\":1079,\"./layout_attributes\":1081,\"./layout_defaults\":1082,\"./plot\":1083,\"./style\":1084}],1081:[function(t,e,r){\"use strict\";var n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1199}],1082:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":803,\"./layout_attributes\":1081}],1083:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../lib\"),o=a.strScale,s=a.strTranslate,l=t(\"../../lib/svg_text_utils\"),c=t(\"../bar/plot\").toMoveInsideBar,u=t(\"../bar/uniform_text\"),f=u.recordMinTextSize,h=u.clearMinTextSize,p=t(\"../pie/helpers\"),d=t(\"../pie/plot\"),g=d.attachFxHandlers,m=d.determineInsideTextFont,v=d.layoutAreas,y=d.prerenderTitles,x=d.positionTitleOutside,b=d.formatSliceLabel;function _(t,e){return\"l\"+(e[0]-t[0])+\",\"+(e[1]-t[1])}e.exports=function(t,e){var r=t._fullLayout;h(\"funnelarea\",r),y(e,t),v(e,r._size),a.makeTraceGroups(r._funnelarealayer,e,\"trace\").each((function(e){var u=n.select(this),h=e[0],d=h.trace;!function(t){if(!t.length)return;var e=t[0],r=e.trace,n=r.aspectratio,i=r.baseratio;i>.999&&(i=.999);var a,o=Math.pow(i,2),s=e.vTotal,l=s,c=s*o/(1-o)/s;function u(){var t,e={x:t=Math.sqrt(c),y:-t};return[e.x,e.y]}var f,h,p=[];for(p.push(u()),f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var d=h.v/l;c+=d,p.push(u())}var 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w=\"M\"+(u+o.TR[0])+\",\"+(v+o.TR[1])+_(o.TR,o.BR)+_(o.BR,o.BL)+_(o.BL,o.TL)+\"Z\";x.attr(\"d\",w),b(t,o,h);var T=p.castOption(d.textposition,o.pts),k=y.selectAll(\"g.slicetext\").data(o.text&&\"none\"!==T?[0]:[]);k.enter().append(\"g\").classed(\"slicetext\",!0),k.exit().remove(),k.each((function(){var h=a.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),p=a.ensureUniformFontSize(t,m(d,o,r.font));h.text(o.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(i.font,p).call(l.convertToTspans,t);var g,y,x,b=i.bBox(h.node()),_=Math.min(o.BL[1],o.BR[1])+v,w=Math.max(o.TL[1],o.TR[1])+v;y=Math.max(o.TL[0],o.BL[0])+u,x=Math.min(o.TR[0],o.BR[0])+u,(g=c(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=p.size,f(d.type,g,r),e[s].transform=g,h.attr(\"transform\",a.getTextTransform(g))}))}}));var 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0===e.delta.font.size&&(e.delta.font.size=(e._hasNumber?.5:1)*(m||l.defaultNumberFontSize),w[1]=!0),d(\"delta.reference\",e.value),d(\"delta.relative\"),d(\"delta.valueformat\",e.delta.relative?\"2%\":\"\"),d(\"delta.increasing.symbol\"),d(\"delta.increasing.color\"),d(\"delta.decreasing.symbol\"),d(\"delta.decreasing.color\"),d(\"delta.position\"),v=e.delta.font.size),e._scaleNumbers=(!e._hasNumber||w[0])&&(!e._hasDelta||w[1])||!1,d(\"title.font.color\",p.font.color),d(\"title.font.family\",p.font.family),d(\"title.font.size\",.25*(m||v||l.defaultNumberFontSize)),d(\"title.text\"),e._hasGauge){(y=t.gauge)||(y={}),x=o.newContainer(e,\"gauge\"),T(\"shape\"),(e._isBullet=\"bullet\"===e.gauge.shape)||d(\"title.align\",\"center\"),(e._isAngular=\"angular\"===e.gauge.shape)||d(\"align\",\"center\"),T(\"bgcolor\",p.paper_bgcolor),T(\"borderwidth\"),T(\"bordercolor\"),T(\"bar.color\"),T(\"bar.line.color\"),T(\"bar.line.width\"),T(\"bar.thickness\",l.valueThickness*(\"bullet\"===e.gauge.shape?.5:1)),s(y,x,{name:\"steps\",handleItemDefaults:h}),T(\"threshold.value\"),T(\"threshold.thickness\"),T(\"threshold.line.width\"),T(\"threshold.line.color\"),b={},y&&(b=y.axis||{}),_=o.newContainer(x,\"axis\"),k(\"visible\"),e._range=k(\"range\",e._range);var A={outerTicks:!0};c(b,_,k,\"linear\"),f(b,_,k,\"linear\",A),u(b,_,k,A)}else d(\"title.align\",\"center\"),d(\"align\",\"center\"),e._isAngular=e._isBullet=!1;e._length=null}}},{\"../../lib\":803,\"../../plot_api/plot_template\":843,\"../../plots/array_container_defaults\":849,\"../../plots/cartesian/tick_label_defaults\":876,\"../../plots/cartesian/tick_mark_defaults\":877,\"../../plots/cartesian/tick_value_defaults\":878,\"../../plots/domain\":882,\"./attributes\":1147,\"./constants.js\":1150}],1152:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"indicator\",basePlotModule:t(\"./base_plot\"),categories:[\"svg\",\"noOpacity\",\"noHover\"],animatable:!0,attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,calc:t(\"./calc\").calc,plot:t(\"./plot\"),meta:{}}},{\"./attributes\":1147,\"./base_plot\":1148,\"./calc\":1149,\"./defaults\":1151,\"./plot\":1153}],1153:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolate,a=t(\"d3-interpolate\").interpolateNumber,o=t(\"../../lib\"),s=o.strScale,l=o.strTranslate,c=o.rad2deg,u=t(\"../../constants/alignment\").MID_SHIFT,f=t(\"../../components/drawing\"),h=t(\"./constants\"),p=t(\"../../lib/svg_text_utils\"),d=t(\"../../plots/cartesian/axes\"),g=t(\"../../plots/cartesian/axis_defaults\"),m=t(\"../../plots/cartesian/position_defaults\"),v=t(\"../../plots/cartesian/layout_attributes\"),y=t(\"../../components/color\"),x={left:\"start\",center:\"middle\",right:\"end\"},b={left:0,center:.5,right:1},_=/[yzafpn\\xb5mkMGTPEZY]/;function w(t){return t&&t.duration>0}function T(t){t.each((function(t){y.stroke(n.select(this),t.line.color)})).each((function(t){y.fill(n.select(this),t.color)})).style(\"stroke-width\",(function(t){return t.line.width}))}function k(t,e,r){var n=t._fullLayout,i=o.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),a={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return o.coerce(i,a,v,t,e)}return g(i,a,l,s,n),m(i,a,l,s),a}function A(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function M(t,e,r,i){var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(a);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(p.convertToTspans,i).call(f.font,e),f.bBox(o.node())}function S(t,e,r,n,i,a){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=o.aggNums(a,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,g){var m,v=t._fullLayout;w(r)&&g&&(m=g()),o.makeTraceGroups(v._indicatorlayer,e,\"trace\").each((function(e){var g,E,L,C,P,I=e[0].trace,O=n.select(this),z=I._hasGauge,D=I._isAngular,R=I._isBullet,F=I.domain,B={w:v._size.w*(F.x[1]-F.x[0]),h:v._size.h*(F.y[1]-F.y[0]),l:v._size.l+v._size.w*F.x[0],r:v._size.r+v._size.w*(1-F.x[1]),t:v._size.t+v._size.h*(1-F.y[1]),b:v._size.b+v._size.h*F.y[0]},N=B.l+B.w/2,j=B.t+B.h/2,U=Math.min(B.w/2,B.h),V=h.innerRadius*U,q=I.align||\"center\";if(E=j,z){if(D&&(g=N,E=j+U/2,L=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*V)}),R){var H=h.bulletPadding,G=1-h.bulletNumberDomainSize+H;g=B.l+(G+(1-G)*b[q])*B.w,L=function(t){return A(t,(h.bulletNumberDomainSize-H)*B.w,B.h)}}}else g=B.l+b[q]*B.w,L=function(t){return A(t,B.w,B.h)};!function(t,e,r,i){var c,u,h,g=r[0].trace,m=i.numbersX,v=i.numbersY,T=g.align||\"center\",A=x[T],E=i.transitionOpts,L=i.onComplete,C=o.ensureSingle(e,\"g\",\"numbers\"),P=[];g._hasNumber&&P.push(\"number\");g._hasDelta&&(P.push(\"delta\"),\"left\"===g.delta.position&&P.reverse());var I=C.selectAll(\"text\").data(P);function O(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}I.enter().append(\"text\"),I.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),I.exit().remove();var z,D=g.mode+g.align;g._hasDelta&&(z=function(){var e=k(t,{tickformat:g.delta.valueformat},g._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=function(t){return g.delta.relative?t.relativeDelta:t.delta},s=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?g.delta.increasing.symbol:g.delta.decreasing.symbol)+e(t)},l=function(t){return t.delta>=0?g.delta.increasing.color:g.delta.decreasing.color};void 0===g._deltaLastValue&&(g._deltaLastValue=o(r[0]));var c=C.select(\"text.delta\");function h(){c.text(s(o(r[0]),i)).call(y.fill,l(r[0])).call(p.convertToTspans,t)}return c.call(f.font,g.delta.font).call(y.fill,l({delta:g._deltaLastValue})),w(E)?c.transition().duration(E.duration).ease(E.easing).tween(\"text\",(function(){var t=n.select(this),e=o(r[0]),c=g._deltaLastValue,u=O(g.delta.valueformat,i,c,e),f=a(c,e);return g._deltaLastValue=e,function(e){t.text(s(f(e),u)),t.call(y.fill,l({delta:f(e)}))}})).each(\"end\",(function(){h(),L&&L()})).each(\"interrupt\",(function(){h(),L&&L()})):h(),u=M(s(o(r[0]),i),g.delta.font,A,t),c}(),D+=g.delta.position+g.delta.font.size+g.delta.font.family+g.delta.valueformat,D+=g.delta.increasing.symbol+g.delta.decreasing.symbol,h=u);g._hasNumber&&(!function(){var e=k(t,{tickformat:g.number.valueformat},g._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=g.number.suffix,s=g.number.prefix,l=C.select(\"text.number\");function u(){var e=\"number\"==typeof r[0].y?s+i(r[0].y)+o:\"-\";l.text(e).call(f.font,g.number.font).call(p.convertToTspans,t)}w(E)?l.transition().duration(E.duration).ease(E.easing).each(\"end\",(function(){u(),L&&L()})).each(\"interrupt\",(function(){u(),L&&L()})).attrTween(\"text\",(function(){var t=n.select(this),e=a(r[0].lastY,r[0].y);g._lastValue=r[0].y;var l=O(g.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(s+l(e(r))+o)}})):u(),c=M(s+i(r[0].y)+o,g.number.font,A,t)}(),D+=g.number.font.size+g.number.font.family+g.number.valueformat+g.number.suffix+g.number.prefix,h=c);if(g._hasDelta&&g._hasNumber){var R,F,B=[(c.left+c.right)/2,(c.top+c.bottom)/2],N=[(u.left+u.right)/2,(u.top+u.bottom)/2],j=.75*g.delta.font.size;\"left\"===g.delta.position&&(R=S(g,\"deltaPos\",0,-1*(c.width*b[g.align]+u.width*(1-b[g.align])+j),D,Math.min),F=B[1]-N[1],h={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:u.left+R,right:c.right,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),\"right\"===g.delta.position&&(R=S(g,\"deltaPos\",0,c.width*(1-b[g.align])+u.width*b[g.align]+j,D,Math.max),F=B[1]-N[1],h={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:c.left,right:u.right+R,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),\"bottom\"===g.delta.position&&(R=null,F=u.height,h={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height,bottom:c.bottom+u.height}),\"top\"===g.delta.position&&(R=null,F=c.top,h={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height-u.height,bottom:c.bottom}),z.attr({dx:R,dy:F})}(g._hasNumber||g._hasDelta)&&C.attr(\"transform\",(function(){var t=i.numbersScaler(h);D+=t[2];var e,r=S(g,\"numbersScale\",1,t[0],D,Math.min);g._scaleNumbers||(r=1),e=g._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,g._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=m-r*n;return a=S(g,\"numbersTranslate\",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:g,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:m}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll(\"g.angular\").data(D?e:[]);Y.exit().remove();var W=O.selectAll(\"g.angularaxis\").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,g=a.size,m=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[g.l+g.w/2,g.t+g.h/2+m/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+m)/2-t/2*(m-v)).outerRadius((v+m)/2+t/2*(m-v)).startAngle(-E)}function P(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+m*Math.cos(t),b[1]-m*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,q=L(r[0].lastY),H=L(r[0].y),function(){var t=i(q,H);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,q,H;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":674}],1161:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),i=t(\"delaunay-triangulate\"),a=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function m(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!m(t.i,f)||!m(t.j,f)||!m(t.k,f))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new f(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../components/colorscale\":678,\"../../lib/gl_format_color\":799,\"../../lib/str2rgbarray\":828,\"../../plots/gl3d/zip3\":907,\"alpha-shape\":75,\"convex-hull\":141,\"delaunay-triangulate\":180,\"gl-mesh3d\":315}],1162:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function c(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function m(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(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,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var m=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(m.x+m.width+v.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=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:g,category:m,probability:v}]}}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;if(\"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)}))}(this),S(this,\"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)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(g),N(g)),g}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||v.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?B(s,x,l,m,.5):B(s,x,l,m,0),h[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<h;c++)l=m[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":688,\"../../components/fx\":706,\"../../lib\":803,\"../../lib/svg_text_utils\":829,\"../../plot_api/plot_api\":840,\"@plotly/d3\":58,\"d3-interpolate\":171,tinycolor2:598}],1179:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../plot_api/plot_template\":843,\"../../plots/cartesian/layout_attributes\":869,\"../../plots/domain\":882,\"../../plots/font_attributes\":883}],1181:[function(t,e,r){\"use 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r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else 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t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":803,\"../../lib/gup\":800,\"./constants\":1184,\"@plotly/d3\":58}],1182:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":780,\"../../plots/get_data\":891,\"./plot\":1191,\"@plotly/d3\":58}],1183:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":678,\"../../lib\":803,\"../../lib/gup\":800}],1184:[function(t,e,r){\"use 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":803}],1187:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1180,\"./base_plot\":1182,\"./calc\":1183,\"./defaults\":1185,\"./plot\":1191}],1188:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var g=[[],[]],m=0;m<64;m++)g[0][m]=m===i?1:0,g[1][m]=m===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:g[0].slice(0,16),dim0B:g[0].slice(16,32),dim0C:g[0].slice(32,48),dim0D:g[0].slice(48,64),dim1A:g[1].slice(0,16),dim1B:g[1].slice(16,32),dim1C:g[1].slice(32,48),dim1D:g[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!_,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:T.prop(\"scissorX\"),y:T.prop(\"scissorY\"),width:T.prop(\"scissorWidth\"),height:T.prop(\"scissorHeight\")}},viewport:{x:T.prop(\"viewportX\"),y:T.prop(\"viewportY\"),width:T.prop(\"viewportWidth\"),height:T.prop(\"viewportHeight\")},dither:!1,vert:i,frag:a,primitive:\"lines\",lineWidth:M,attributes:E,uniforms:{resolution:T.prop(\"resolution\"),viewBoxPos:T.prop(\"viewBoxPos\"),viewBoxSize:T.prop(\"viewBoxSize\"),dim0A:T.prop(\"dim0A\"),dim1A:T.prop(\"dim1A\"),dim0B:T.prop(\"dim0B\"),dim1B:T.prop(\"dim1B\"),dim0C:T.prop(\"dim0C\"),dim1C:T.prop(\"dim1C\"),dim0D:T.prop(\"dim0D\"),dim1D:T.prop(\"dim1D\"),loA:T.prop(\"loA\"),hiA:T.prop(\"hiA\"),loB:T.prop(\"loB\"),hiB:T.prop(\"hiB\"),loC:T.prop(\"loC\"),hiC:T.prop(\"hiC\"),loD:T.prop(\"loD\"),hiD:T.prop(\"hiD\"),palette:L,contextColor:T.prop(\"contextColor\"),maskTexture:T.prop(\"maskTexture\"),drwLayer:T.prop(\"drwLayer\"),maskHeight:T.prop(\"maskHeight\")},offset:T.prop(\"offset\"),count:T.prop(\"count\")});function I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),m=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}(m,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](g(n/4,e,r))}(E,m,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=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,c=(e-s)/8,u=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+c]&=~u;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],g=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[g]||C[g][0]!==k||C[g][1]!==M){C[g]=[k,M];var L=y(r,a,o,i,g,v,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var I=e?r.lines.blockLineCount:m;h(T,P,S,I,m,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},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:I}}},{\"../../lib\":803,\"./constants\":1184,glslify:442}],1189:[function(t,e,r){\"use strict\";e.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}},{}],1190:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,g=p.repeat,m=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");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,c=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-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).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=m(e),s=a.trace,l=v.convertTypedArray(a.lineColor),c=s.line,u={color:o(y.deselectedLineColor)},f=h.extractOpts(c),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,g=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:y.blockLineCount,canvasOverdrag:y.overdrag*y.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,I=L;return{key:r,colCount:g.filter(v.isVisible).length,dimensions:g,tickDistance:y.tickDistance,unitToColor:S(p),lines:M,deselectedLines:u,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*y.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:I*y.canvasPixelRatio,width:P,height:I,canvasPixelRatio:y.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,c=r.canvasPixelRatio,u=function(t){return o*t/Math.max(1,r.colCount-1)},f=y.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,y.verticalPadding),p={key:r.key,xScale:u,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(v.isVisible).map((function(o,l){var g=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),m=d[o.label];d[o.label]=(m||0)+1;var b=o.label+(m?\"__\"+m:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(g)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var O=1;O<C.length;O++)if(C[O]<C[O-1]){for(var z=C.map(P).sort(I),D=0;D<C.length;D++)C[D]=z[D].val,L[D]=z[D].text;break}}else C=void 0;return S=v.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:v.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(g),unitTickvals:C&&C.map(g),xScale:u,x:u(l),canvasX:u(l)*c,unitToPaddedPx:h,domainScale:A(s,y.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=g.invert,a=r.map((function(t){return 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(y.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function I(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 O(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 z(t,e){return s.tickText(t._ax,e,!1).text}function D(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return z(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,a){var o=t._fullLayout,h=o._toppaper,p=o._glcontainer,_=t._context.plotGlPixelRatio,T=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":666,\"fast-isnumeric\":249,tinycolor2:598}],1195:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":803,\"../../plots/domain\":882,\"../bar/defaults\":945,\"./attributes\":1192,\"fast-isnumeric\":249}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":702}],1197:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":803}],1198:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1192,\"./base_plot\":1193,\"./calc\":1194,\"./defaults\":1195,\"./layout_attributes\":1199,\"./layout_defaults\":1200,\"./plot\":1201,\"./style\":1202,\"./style_one\":1203}],1199:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":803,\"./layout_attributes\":1199}],1201:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var 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i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,g=0;g<t._fullData.length;g++)if(t._fullData[g].visible&&t._fullData[g].type===c.sankey&&!t._fullData[g]._viewInitial){var m=t._fullData[g].node;t._fullData[g]._viewInitial={node:{groups:m.groups.slice(),x:m.x.slice(),y:m.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var g=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===g.pointNumber){i.link.pointNumber===g.pointNumber&&(u=h),g.fullData=g.trace,o=i.link.trace.link;var m=y(g),v={valueLabel:a(i.valueFormat)(g.value)+i.valueSuffix};c.push({x:m[0],y:m[1],name:v.valueLabel,text:[g.label||\"\",w+g.source.label,T+g.target.label,g.concentrationscale?k+a(\"%0.2f\")(g.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(g.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<m[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[g]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(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 n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),g=h.left-2-u.left,m=h.right+2-u.left,v=h.top+h.height/4-u.top,y={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*g,x1:x*m,y:b*v,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:y,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(y,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 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n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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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:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" 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\"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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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:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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n=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),a=t(\"./subtypes\");e.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},{\"../../components/colorscale/calc\":674,\"../../components/colorscale/helpers\":677,\"./subtypes\":1243}],1222:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1223:[function(t,e,r){\"use strict\";var n=t(\"./calc\");function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return 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n=t(\"../../components/color\"),i=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t,e,r,a){var o=!1;if(e.marker){var s=e.marker.color,l=(e.marker.line||{}).color;s&&!i(s)?o=s:l&&!i(l)&&(o=l)}a(\"fillcolor\",n.addOpacity((e.line||{}).color||o||r,.5))}},{\"../../components/color\":666,\"../../lib\":803}],1227:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a={_fullLayout:r},o=n.getFromTrace(a,e,\"x\"),s=n.getFromTrace(a,e,\"y\");return i.xLabel=n.tickText(o,o.c2l(t.x),!0).text,i.yLabel=n.tickText(s,s.c2l(t.y),!0).text,i}},{\"../../plots/cartesian/axes\":854}],1228:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./subtypes\");e.exports=function(t,e){var r,a;if(\"lines\"===t.mode)return(r=t.line.color)&&n.opacity(r)?r:t.fillcolor;if(\"none\"===t.mode)return t.fill?t.fillcolor:\"\";var 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var f=u[n],h=0;h<f.length;++h)f[h]=l[f[h]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new v(t,e.uid);return r.update(e),r}},{\"../../components/fx/helpers\":702,\"../../constants/gl3d_dashes\":776,\"../../constants/gl3d_markers\":777,\"../../lib\":803,\"../../lib/gl_format_color\":799,\"../../lib/str2rgbarray\":828,\"../../plots/cartesian/axes\":854,\"../scatter/make_bubble_size_func\":1235,\"./calc_errors\":1248,\"delaunay-triangulate\":180,\"gl-error3d\":273,\"gl-line3d\":281,\"gl-mesh3d\":315,\"gl-scatter3d\":334}],1250:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return 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strict\";e.exports={plot:t(\"./convert\"),attributes:t(\"./attributes\"),markerSymbols:t(\"../../constants/gl3d_markers\"),supplyDefaults:t(\"./defaults\"),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:t(\"./calc\"),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../constants/gl3d_markers\":777,\"../../plots/gl3d\":896,\"./attributes\":1246,\"./calc\":1247,\"./convert\":1249,\"./defaults\":1250}],1252:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.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:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.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()}},{\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../plots/attributes\":850,\"../../plots/template_attributes\":926,\"../scatter/attributes\":1218}],1253:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":803,\"../scatter/constants\":1222,\"../scatter/fillcolor_defaults\":1226,\"../scatter/line_defaults\":1231,\"../scatter/line_shape_defaults\":1233,\"../scatter/marker_defaults\":1237,\"../scatter/subtypes\":1243,\"../scatter/text_defaults\":1244,\"./attributes\":1252}],1255:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],1256:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1257:[function(t,e,r){\"use 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=a(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var i=e.hi||t.hoverinfo,a=\"all\"===i?s.hoverinfo.flags:i.split(\"+\"),l=-1!==a.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==a.indexOf(\"lon\"),u=-1!==a.indexOf(\"lat\"),f=-1!==a.indexOf(\"text\"),h=[];function p(t){return t+\"\\xb0\"}l?h.push(e.loc):c&&u?h.push(\"(\"+p(r.latLabel)+\", \"+p(r.lonLabel)+\")\"):c?h.push(n.lon+p(r.lonLabel)):u&&h.push(n.lat+p(r.latLabel));f&&o(e,t,h);return h.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":706,\"../../constants/numerical\":779,\"../../lib\":803,\"../scatter/get_trace_color\":1228,\"./attributes\":1260}],1266:[function(t,e,r){\"use 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../lib/topojson_utils\").getTopojsonFeatures,o=t(\"../../lib/geojson_utils\"),s=t(\"../../lib/geo_location_utils\"),l=t(\"../../plots/cartesian/autorange\").findExtremes,c=t(\"../../constants/numerical\").BADNUM,u=t(\"../scatter/calc\").calcMarkerSize,f=t(\"../scatter/subtypes\"),h=t(\"./style\");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],f=o._subplot,h=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d=\"geojson-id\"===p?s.extractTraceFeature(t):a(i,f.topojson);for(r=0;r<h;r++){n=t[r];var g=\"geojson-id\"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=g?g.properties.ct:[c,c]}}var m,v,y={padded:!0};if(\"geojson\"===o.fitbounds&&\"geojson-id\"===i.locationmode){var x=s.computeBbox(s.getTraceGeojson(i));m=[x[0],x[2]],v=[x[1],x[3]]}else{for(m=new Array(h),v=new 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s=o.calcTraceToLineCoords(e),c=\"none\"!==a.fill?o.makePolygon(s):o.makeLine(s);r.selectAll(\"path.js-line\").data([{geojson:c,trace:a}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}f.hasMarkers(a)&&r.selectAll(\"path.point\").data(i.identity).enter().append(\"path\").classed(\"point\",!0).each((function(t){l(t,this)})),f.hasText(a)&&r.selectAll(\"g\").data(i.identity).enter().append(\"g\").append(\"text\").each((function(t){l(t,this)})),h(t,e)}))}}},{\"../../constants/numerical\":779,\"../../lib\":803,\"../../lib/geo_location_utils\":796,\"../../lib/geojson_utils\":797,\"../../lib/topojson_utils\":832,\"../../plots/cartesian/autorange\":853,\"../scatter/calc\":1219,\"../scatter/subtypes\":1243,\"./style\":1269,\"@plotly/d3\":58}],1268:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e){var 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e=n.select(this),r=t.trace,o=r.line||{};e.call(a.stroke,o.color).call(i.dashLine,o.dash||\"\",o.width||0),\"none\"!==r.fill&&e.call(a.fill,r.fillcolor)}))}(t,e)}},{\"../../components/color\":666,\"../../components/drawing\":688,\"../scatter/style\":1242,\"@plotly/d3\":58}],1270:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../lib/sort_object_keys\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll,u=t(\"./constants\").DASHES,f=i.line,h=i.marker,p=h.line,d=e.exports=c({x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),text:i.text,hovertext:i.hovertext,textposition:i.textposition,textfont:i.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:f.color,width:f.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:s(u),dflt:\"solid\"}},marker:l({},o(\"marker\"),{symbol:h.symbol,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,opacity:h.opacity,colorbar:h.colorbar,line:l({},o(\"marker.line\"),{width:p.width})}),connectgaps:i.connectgaps,fill:l({},i.fill,{dflt:\"none\"}),fillcolor:i.fillcolor,selected:{marker:i.selected.marker,textfont:i.selected.textfont},unselected:{marker:i.unselected.marker,textfont:i.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");d.x.editType=d.y.editType=d.x0.editType=d.y0.editType=\"calc+clearAxisTypes\",d.hovertemplate=i.hovertemplate,d.texttemplate=i.texttemplate},{\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../lib/sort_object_keys\":826,\"../../plot_api/edit_types\":836,\"../../plots/attributes\":850,\"../../plots/cartesian/axis_format_attributes\":857,\"../scatter/attributes\":1218,\"./constants\":1272}],1271:[function(t,e,r){\"use 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":688,\"../../components/fx/helpers\":702,\"../../constants/interactions\":778,\"../../lib\":803,\"../../lib/gl_format_color\":799,\"../../plots/cartesian/axis_ids\":858,\"../../registry\":931,\"../scatter/make_bubble_size_func\":1235,\"../scatter/subtypes\":1243,\"./constants\":1272,\"./helpers\":1277,\"color-normalize\":131,\"fast-isnumeric\":249,\"svg-path-sdf\":595}],1274:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":803,\"../../registry\":931,\"../scatter/constants\":1222,\"../scatter/fillcolor_defaults\":1226,\"../scatter/line_defaults\":1231,\"../scatter/marker_defaults\":1237,\"../scatter/period_defaults\":1238,\"../scatter/subtypes\":1243,\"../scatter/text_defaults\":1244,\"../scatter/xy_defaults\":1245,\"./attributes\":1270,\"./helpers\":1277}],1275:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":666,\"../../constants/interactions\":778,\"../../lib\":803}],1276:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":1227}],1277:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1272}],1278:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":803,\"../../registry\":931,\"../scatter/get_trace_color\":1228}],1279:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":868,\"../scatter/cross_trace_defaults\":1224,\"../scatter/marker_colorbar\":1236,\"./attributes\":1270,\"./calc\":1271,\"./defaults\":1274,\"./format_labels\":1276,\"./hover\":1278,\"./plot\":1280,\"./select\":1282}],1280:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var A=m.dragmode,M=l(A),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||M||S){if(M||(M=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(O[g]),N[g]=x.c2p(z[g])}else C.xpx=C.ypx=null}if(M){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x,t._context.plotGlPixelRatio),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":684,\"../../lib\":803,\"../../lib/prepare_regl\":816,\"../scatter/link_traces\":1234,\"../scatter/subtypes\":1243,\"./edit_style\":1275,\"gl-text\":355,\"regl-error2d\":536,\"regl-line2d\":537,\"regl-scatter2d\":538}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":803}],1282:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var g=n.hasText(l),m=n.hasMarkers(l),v=!m&&!g;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(m){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,g&&i(r),s}},{\"../scatter/subtypes\":1243,\"./edit_style\":1275}],1283:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../plot_api/edit_types\":836,\"../../plots/attributes\":850,\"../../plots/mapbox/layout_attributes\":913,\"../../plots/template_attributes\":926,\"../scatter/attributes\":1218,\"../scattergeo/attributes\":1260}],1284:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function m(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=g(),S=g(),E=g(),L=g(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),g=i.isArrayOrTypedArray(f.opacity);function m(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));g&&(o=function(t){return m(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=m(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||v&&v.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(k=f.size,k/2),mo:g||v&&v.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:m(f.opacity)};var k}(e);E.geojson=P.geojson,E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"circle-color\":P.mcc,\"circle-radius\":P.mrc,\"circle-opacity\":P.mo})}if((A||T)&&(L.geojson=function(t,e){for(var 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/line_shape_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),u=t(\"../scatter/constants\").PTS_LINESONLY,f=t(\"./attributes\");function h(t,e,r,n){var i,a=n(\"r\"),o=n(\"theta\");if(a)o?i=Math.min(a.length,o.length):(i=a.length,n(\"theta0\"),n(\"dtheta\"));else{if(!o)return 0;i=e.theta.length,n(\"r0\"),n(\"dr\")}return e._length=i,i}e.exports={handleRThetaDefaults:h,supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,f,r,i)}var g=h(t,e,p,d);if(g){d(\"thetaunit\"),d(\"mode\",g<u?\"lines+markers\":\"lines\"),d(\"text\"),d(\"hovertext\"),\"fills\"!==e.hoveron&&d(\"hovertemplate\"),i.hasLines(e)&&(o(t,e,r,p,d),s(t,e,d),d(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,p,d,{gradient:!0}),i.hasText(e)&&(d(\"texttemplate\"),l(t,e,p,d));var 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e,r,i,a,s,l,c,u,f,h,p,d,g=t._x,m=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,A=\"\";for(y&&(c=g[0],f=m[0],p=v[0]),y>1&&(u=g[y-1],h=m[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,m[e]),w=Math.min(w,m[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||g[e]===c||(a=!0,A+=\"x\"),s||m[e]===f||(s=!0,A+=\"y\"),l||v[e]===p||(l=!0,A+=\"z\");a||(A+=\"x\"),s||(A+=\"y\"),l||(A+=\"z\");var M=o(t._x),S=o(t._y),E=o(t._z);A=(A=(A=A.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(f>h?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var L=function(){y=0,M=[],S=[],E=[]};(!y||y<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?g:\"y\"===t?m:v},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return 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0},{\"../../components/color\":666,\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../plot_api/edit_types\":836,\"../../plots/attributes\":850,\"../../plots/cartesian/axis_format_attributes\":857,\"../../plots/template_attributes\":926}],1343:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":674}],1344:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),i=t(\"ndarray\"),a=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),g=l.dataScale,m=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v])];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(m*v),[m,v]);for(r=0;r<m;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=g[2],w.intensityBounds[1]*=g[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:u({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:l.marker.colors,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:l.marker.line,editType:\"calc\"},a(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:u({},s.textfont,{}),editType:\"calc\"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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h=n.select(this),p=i.ensureSingle(h,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));w?p.transition().attrTween(\"d\",(function(t){var e=k(t,!0,M,[g,m]);return function(t){return x(e(t))}})):p.attr(\"d\",x),h.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:t._transitioning}),p.call(l,s,L,{hovered:!1}),s._text=(u.getPtLabel(s)||\"\").split(\"<br>\").join(\" \")||\"\";var d=i.ensureSingle(h,\"g\",\"slicetext\"),T=i.ensureSingle(d,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(L,s,S.font,{onPathbar:!0}));T.text(s._text||\" 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g=d.width,m=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,A=d.makeUpdateTextInterpolator,M=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\"left\"),C=-1!==E.textposition.indexOf(\"right\"),P=-1!==E.textposition.indexOf(\"bottom\"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,O=s(r,[g,m],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),z=1/0,D=-1/0;O.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(z=Math.min(z,e),D=Math.max(D,e))})),p=p.data(O,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-z+1:0,p.enter().append(\"g\").classed(\"slice\",!0),T(p,!1,{},[g,m],x),p.order();var R=null;if(w&&M){var 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = go.Figure(data=[go.Scatter3d(x=adata.obsm['sica_metasamples'][: , 5] , \n",
    "                                   y=adata.obsm['sica_metasamples'][: , 7]  , \n",
    "                                   z=adata.obsm['sica_metasamples'][: , 0], \n",
    "                                   marker=dict(size=3,\n",
    "                                               line=dict(width=0.5, color='DarkSlateGrey'),\n",
    "                                               color=adata.obsm['sica_metasamples'][: , 10],\n",
    "                                               colorbar = dict(title = 'Other cell cyle component' , x = -0.1),\n",
    "                                               colorscale=\"piyg\"\n",
    "                                                ),\n",
    "                                   mode = 'markers',\n",
    "                                   name = 'chla9')])\n",
    "\n",
    "fig.update_layout(autosize=False,\n",
    "                  width=1200,\n",
    "                  height=600,\n",
    "                  title=\"CHLA9 (3D cell cycle)\",\n",
    "                  legend_title=\"Data set\" ,\n",
    "                  scene = dict(yaxis_title='G1/S metagene', xaxis_title='G2-M metagene',\n",
    "                               zaxis_title='cc metagene'  , xaxis_autorange=\"reversed\")\n",
    "                 )\n",
    "    \n",
    "\n",
    "fig.show()\n",
    "\n",
    "#fig.write_html(\"cc_CHLA9_ICA.html\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f79ec1e",
   "metadata": {},
   "source": [
    "## 5. A brief comparison with PCA\n",
    "\n",
    "In this section we show that, actually, a simple PCA is also able to retrieve a cycling pattern. Indeed, the signal associated to cell cycle is particularly strong in the CHLA9 cell line. We can still argue that PCA components are more difficult to interpret than ICA components. ICA gives you a chance to easily identify the genes that may drive the cell cycle (i.e the four steps G1, S, G2 and mitosis)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e0ecb88b",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.pca(adata , n_comps = 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ffec7300",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 936x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (13 , 7))\n",
    "im = plt.scatter(adata.obsm['X_pca'][: , 0] , adata.obsm['X_pca'][: , 1] , s=5 , c = adata.obs['total_counts'].values , cmap = 'viridis' )\n",
    "ax.set_xlabel(\"PC1\" , fontsize = 14)\n",
    "ax.set_ylabel(\"PC2\" , fontsize = 14)\n",
    "cbar = fig.colorbar(im, ax=ax)\n",
    "cbar.set_label(\"Total counts\" , fontsize = 14 , rotation=270 , labelpad=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ff6c080",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "**[1]** : Miller, H.E.; Gorthi, A.; Bassani, N.; Lawrence, L.A.; Iskra, B.S.; Bishop, A.J.R. Reconstruction of Ewing Sarcoma Developmental Context from Mass-Scale Transcriptomics Reveals Characteristics of EWSR1-FLI1 Permissibility. Cancers 2020, 12, 948. https://doi.org/10.3390/cancers12040948   "
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
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}