{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d24f37f0",
   "metadata": {},
   "source": [
    "# Tutorial"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd399a99",
   "metadata": {},
   "source": [
    "## Tutorial"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09e1a223",
   "metadata": {},
   "source": [
    "### Setting up environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8a91b9cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scanpy as sc\n",
    "import matplotlib.pyplot as plt\n",
    "CODE_PATH = \"../..\" # location of NSForest folder\n",
    "sys.path.insert(0, os.path.abspath(CODE_PATH))\n",
    "from nsforest import ns, nsforesting, utils, NSFOREST_VERSION"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aaa86774",
   "metadata": {},
   "source": [
    "### Data Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ff95657",
   "metadata": {},
   "source": [
    "#### Loading h5ad AnnData file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ade71ff3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 871 × 16497\n",
       "    obs: 'cluster'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_folder = f\"{CODE_PATH}/demo_data/\"\n",
    "file = data_folder + \"adata_layer1.h5ad\"\n",
    "adata = sc.read_h5ad(file)\n",
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f85c7df",
   "metadata": {},
   "source": [
    "#### Defining `cluster_header` as cell type annotation. \n",
    "\n",
    "**Note:** Some datasets have multiple annotations per sample (ex. \"broad_cell_type\" and \"granular_cell_type\"). NS-Forest can be run on multiple `cluster_header`'s. Combining the parent and child markers may improve classification results. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c295fac2",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster_header = \"cluster\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5238ab1",
   "metadata": {},
   "source": [
    "#### Defining `output_folder` for saving results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a97d8412",
   "metadata": {},
   "outputs": [],
   "source": [
    "output_folder = f\"{CODE_PATH}/outputs_layer1/\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbddd90d",
   "metadata": {},
   "source": [
    "#### Looking at sample labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "eaadf04b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['A01_1_Nuclei_NeuNP_H200_1025_MTG_layer1_BCH9',\n",
       "       'A01_BCH3_1NeuNP_H200.1030_MTG_Layer_1',\n",
       "       'A02_BCH1_1NeuNP_H200.1025_MTG_layer_1',\n",
       "       'A03_1_Nuclei_NeuNP_H200_1025_MTG_layer1_BCH9',\n",
       "       'A04_1_Nuclei_NeuNP_H200_1025_MTG_layer1_BCH9',\n",
       "       'A04_BCH1_1NeuNP_H200.1025_MTG_layer_1',\n",
       "       'A04_BCH3_1NeuNP_H200.1030_MTG_Layer_1',\n",
       "       'A05_1_Nuclei_NeuNP_H200_1025_MTG_layer1_BCH9',\n",
       "       'A05_BCH1_1NeuNP_H200.1025_MTG_layer_1',\n",
       "       'A05_BCH3_1NeuNP_H200.1030_MTG_Layer_1',\n",
       "       ...\n",
       "       'P09_1_Nuclei_NeuNN_H200_1025_MTG_layer1_BCH7',\n",
       "       'P09_1_Nuclei_NeuNN_H200_1025_MTG_layer1_BCH9',\n",
       "       'P09_1_Nuclei_NeuNN_H200_1030_MTG_layer1_BCH8',\n",
       "       'P09_BCH1_1NeuNN_H200.1025_MTG_layer_1',\n",
       "       'P10_1_Nuclei_NeuNN_H200_1025_MTG_layer1_BCH6',\n",
       "       'P10_1_Nuclei_NeuNN_H200_1025_MTG_layer1_BCH9',\n",
       "       'P10_BCH1_1NeuNN_H200.1025_MTG_layer_1',\n",
       "       'P11_1_Nuclei_NeuNN_H200_1025_MTG_layer1_BCH7',\n",
       "       'P11_1_Nuclei_NeuNN_H200_1025_MTG_layer1_BCH9',\n",
       "       'P11_1_Nuclei_NeuNN_H200_1030_MTG_layer1_BCH8'],\n",
       "      dtype='object', length=871)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs_names"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9eab2a40",
   "metadata": {},
   "source": [
    "#### Looking at genes\n",
    "\n",
    "**Note:** `adata.var_names` must be unique. If there is a problem, usually it can be solved by assigning `adata.var.index = adata.var[\"ensembl_id\"]`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ad76c4a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['A1CF', 'A2M', 'A2M_AS1', 'A2ML1', 'A2ML1_AS1', 'A2MP1', 'A3GALT2',\n",
       "       'A4GALT', 'AAAS', 'AACS',\n",
       "       ...\n",
       "       'ZUFSP', 'ZW10', 'ZWILCH', 'ZWINT', 'ZXDC', 'ZYG11A', 'ZYG11B', 'ZYX',\n",
       "       'ZZEF1', 'ZZZ3'],\n",
       "      dtype='object', length=16497)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.var_names"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94bf3068",
   "metadata": {},
   "source": [
    "#### Checking cell annotation sizes \n",
    "\n",
    "**Note:** Some datasets are too large and need to be downsampled to be run through the pipeline. When downsampling, be sure to have all the granular cluster annotations represented. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "59320aee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "e1_e299_SLC17A7_L5b_Cdh13     299\n",
       "i1_i90_COL5A2_Ndnf_Car4        90\n",
       "i2_i77_LHX6_Sst_Cbln4          77\n",
       "i3_i56_BAGE2_Ndnf_Cxcl14       56\n",
       "i4_i54_MC4R_Ndnf_Cxcl14        54\n",
       "g1_g48_GLI3_Astro_Gja1         48\n",
       "i5_i47_TRPC3_Ndnf_Car4         47\n",
       "i6_i44_GPR149_Vip_Mybpc1       44\n",
       "i7_i31_CLMP_Ndnf_Cxcl14        31\n",
       "g2_g27_APBB1IP_Micro_Ctss      27\n",
       "i8_i27_SNCG_Vip_Mybpc1         27\n",
       "i9_i22_TAC3_Vip_Mybpc1         22\n",
       "g3_g18_GPNMB_OPC_Pdgfra        18\n",
       "i10_i16_TSPAN12_Vip_Mybpc1     16\n",
       "g4_g9_MOG_Oligo_Opalin          9\n",
       "i11_i6_EGF_Vip_Mybpc1           6\n",
       "Name: cluster, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata.obs[cluster_header].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e500d38f",
   "metadata": {},
   "source": [
    "### Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b48e30ee",
   "metadata": {},
   "source": [
    "#### Generating scanpy dendrogram\n",
    "\n",
    "**Note:** Only run if there is no pre-defined dendrogram order. Dendrogram order is stored in `adata.uns[\"dendrogram_cluster\"][\"categories_ordered\"]`. \n",
    "\n",
    "You can add additional arguments into ns.pp.dendrogram() that can be passed into the scanpy dendrogram function. Ex: ns.pp.dendrogram(adata, cluster_header, orientation = \"bottom\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "622dd0e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: You’re trying to run this on 16497 dimensions of `.X`, if you really want this, set `use_rep='X'`.\n",
      "         Falling back to preprocessing with `sc.pp.pca` and default params.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\bpeng\\AppData\\Local\\anaconda3\\Lib\\site-packages\\anndata\\_core\\anndata.py:522: FutureWarning: The dtype argument is deprecated and will be removed in late 2024.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: saving figure to file ..\\..\\outputs_layer1\\dendrogram_cluster.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ns.pp.dendrogram(adata, cluster_header, save = True, output_folder = output_folder, outputfilename_suffix = cluster_header)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0564a37",
   "metadata": {},
   "source": [
    "#### Calculating cluster medians per gene\n",
    "\n",
    "Run `ns.pp.prep_medians` before running NS-Forest.\n",
    "\n",
    "**Note:** Do **not** run if evaluating marker lists. Do **not** run before generating scanpy plots (e.g. dot plot, violin plot, matrix plot). This step removes genes from adata. The full adata should be used for evaluating and plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "759dfbab",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata_subset = adata.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5dffeeca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Calculating medians...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating medians (means) per cluster: 100%|██████████| 16/16 [00:00<00:00, 57.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving calculated medians as adata.varm.medians_cluster\n",
      "--- 0.28774333000183105 seconds ---\n",
      "median: 0.0\n",
      "mean: 1.62611\n",
      "std: 2.488900899887085\n",
      "Only positive genes selected. 11688 positive genes out of 16497 total genes\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 871 × 11688\n",
       "    obs: 'cluster'\n",
       "    uns: 'dendrogram_cluster'\n",
       "    obsm: 'X_pca'\n",
       "    varm: 'medians_cluster'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata_subset = ns.pp.prep_medians(adata_subset, cluster_header)\n",
    "adata_subset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a15a0aa7",
   "metadata": {},
   "source": [
    "#### Calculating binary scores per gene per cluster\n",
    "\n",
    "Run `ns.pp.prep_binary_scores` before running NS-Forest. Do not need to run if evaluating marker lists. Do not need to run when generating scanpy plots. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9ab184ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Calculating binary scores...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating binary scores per cluster: 100%|██████████| 16/16 [00:53<00:00,  3.36s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving calculated binary scores as adata.varm.binary_scores_cluster\n",
      "--- 54.23224496841431 seconds ---\n",
      "median: 0.1\n",
      "mean: 0.2016436226562706\n",
      "std: 0.25240082537940856\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 871 × 11688\n",
       "    obs: 'cluster'\n",
       "    uns: 'dendrogram_cluster'\n",
       "    obsm: 'X_pca'\n",
       "    varm: 'medians_cluster', 'binary_scores_cluster'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata_subset = ns.pp.prep_binary_scores(adata_subset, cluster_header)\n",
    "adata_subset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a6e11b4",
   "metadata": {},
   "source": [
    "#### Plotting median and binary score distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "60153da0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving median distributions as...\n",
      "../../outputs_layer1/cluster_medians.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.clf()\n",
    "filename = output_folder + cluster_header + '_medians.png'\n",
    "print(f\"Saving median distributions as...\\n{filename}\")\n",
    "a = plt.figure(figsize = (6, 4))\n",
    "a = plt.hist(adata_subset.varm[\"medians_\" + cluster_header].unstack(), bins = 100)\n",
    "a = plt.title(f'{file.split(\"/\")[-1].replace(\".h5ad\", \"\")}: {\"medians_\" + cluster_header} histogram')\n",
    "a = plt.xlabel(\"medians_\" + cluster_header)\n",
    "a = plt.yscale(\"log\")\n",
    "a = plt.savefig(filename, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c24b78ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving binary_score distributions as...\n",
      "../../outputs_layer1/cluster_binary_scores.png\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.clf()\n",
    "filename = output_folder + cluster_header + '_binary_scores.png'\n",
    "print(f\"Saving binary_score distributions as...\\n{filename}\")\n",
    "a = plt.figure(figsize = (6, 4))\n",
    "a = plt.hist(adata_subset.varm[\"binary_scores_\" + cluster_header].unstack(), bins = 100)\n",
    "a = plt.title(f'{file.split(\"/\")[-1].replace(\".h5ad\", \"\")}: {\"binary_scores_\" + cluster_header} histogram')\n",
    "a = plt.xlabel(\"binary_scores_\" + cluster_header)\n",
    "a = plt.yscale(\"log\")\n",
    "a = plt.savefig(filename, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0de89f7d",
   "metadata": {},
   "source": [
    "#### Saving preprocessed AnnData as new h5ad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5e19636f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving new anndata object as...\n",
      "../../demo_data/adata_layer1_preprocessed.h5ad\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 871 × 11688\n",
       "    obs: 'cluster'\n",
       "    uns: 'dendrogram_cluster'\n",
       "    obsm: 'X_pca'\n",
       "    varm: 'medians_cluster', 'binary_scores_cluster'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Optional, can be useful if you don't want to re-run prep_medians and prep_binary_scores\n",
    "filename = file.replace(\".h5ad\", \"_preprocessed.h5ad\")\n",
    "print(f\"Saving new anndata object as...\\n{filename}\")\n",
    "adata_subset.write_h5ad(filename)\n",
    "adata_subset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40b0304c",
   "metadata": {},
   "source": [
    "### Running NS-Forest\n",
    "\n",
    "**Note:** Do not run NS-Forest if only evaluating input marker lists. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ab30c7d8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running NS-Forest version 4.1\n",
      "Preparing adata...\n",
      "--- 0.007977008819580078 seconds ---\n",
      "Pre-selecting genes based on binary scores...\n",
      "\tBinaryFirst_high Threshold (mean + 2 * std): 0.7064452734150877\n",
      "\tAverage number of genes after gene_selection in each cluster: 735.5\n",
      "Saving number of genes selected per cluster as...\n",
      "../../outputs_layer1/cluster_gene_selection.csv\n",
      "Number of clusters to evaluate: 16\n",
      "1 out of 16:\n",
      "\te1_e299_SLC17A7_L5b_Cdh13\n",
      "\tPre-selected 1356 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['LINC00507']\n",
      "\t  fbeta: 0.96\n",
      "\t  precision: 0.978\n",
      "\t  recall: 0.893\n",
      "2 out of 16:\n",
      "\tg1_g48_GLI3_Astro_Gja1\n",
      "\tPre-selected 583 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['LINC00498']\n",
      "\t  fbeta: 0.95\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.792\n",
      "3 out of 16:\n",
      "\tg2_g27_APBB1IP_Micro_Ctss\n",
      "\tPre-selected 420 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['ADAM28', 'PTPRC']\n",
      "\t  fbeta: 0.976\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.889\n",
      "4 out of 16:\n",
      "\tg3_g18_GPNMB_OPC_Pdgfra\n",
      "\tPre-selected 353 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['GPNMB', 'OLIG2']\n",
      "\t  fbeta: 0.862\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.556\n",
      "5 out of 16:\n",
      "\tg4_g9_MOG_Oligo_Opalin\n",
      "\tPre-selected 571 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['ST18']\n",
      "\t  fbeta: 1.0\n",
      "\t  precision: 1.0\n",
      "\t  recall: 1.0\n",
      "6 out of 16:\n",
      "\ti10_i16_TSPAN12_Vip_Mybpc1\n",
      "\tPre-selected 1007 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['TSPAN12', 'CHRNB3']\n",
      "\t  fbeta: 0.804\n",
      "\t  precision: 0.9\n",
      "\t  recall: 0.562\n",
      "7 out of 16:\n",
      "\ti11_i6_EGF_Vip_Mybpc1\n",
      "\tPre-selected 1912 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['EGF', 'FBRSL1']\n",
      "\t  fbeta: 0.714\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.333\n",
      "8 out of 16:\n",
      "\ti1_i90_COL5A2_Ndnf_Car4\n",
      "\tPre-selected 238 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['COL5A2', 'BMP6']\n",
      "\t  fbeta: 0.908\n",
      "\t  precision: 0.97\n",
      "\t  recall: 0.722\n",
      "9 out of 16:\n",
      "\ti2_i77_LHX6_Sst_Cbln4\n",
      "\tPre-selected 292 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['LHX6']\n",
      "\t  fbeta: 0.817\n",
      "\t  precision: 0.838\n",
      "\t  recall: 0.74\n",
      "10 out of 16:\n",
      "\ti3_i56_BAGE2_Ndnf_Cxcl14\n",
      "\tPre-selected 151 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['BAGE2', 'SYT10']\n",
      "\t  fbeta: 0.781\n",
      "\t  precision: 0.962\n",
      "\t  recall: 0.446\n",
      "11 out of 16:\n",
      "\ti4_i54_MC4R_Ndnf_Cxcl14\n",
      "\tPre-selected 223 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['ARHGAP36', 'ADAM33']\n",
      "\t  fbeta: 0.857\n",
      "\t  precision: 0.923\n",
      "\t  recall: 0.667\n",
      "12 out of 16:\n",
      "\ti5_i47_TRPC3_Ndnf_Car4\n",
      "\tPre-selected 942 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['NTNG1', 'EYA4']\n",
      "\t  fbeta: 0.906\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.66\n",
      "13 out of 16:\n",
      "\ti6_i44_GPR149_Vip_Mybpc1\n",
      "\tPre-selected 377 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['FLT1', 'GPR149']\n",
      "\t  fbeta: 0.792\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.432\n",
      "14 out of 16:\n",
      "\ti7_i31_CLMP_Ndnf_Cxcl14\n",
      "\tPre-selected 1012 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['PAX6', 'TGFBR2']\n",
      "\t  fbeta: 0.901\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.645\n",
      "15 out of 16:\n",
      "\ti8_i27_SNCG_Vip_Mybpc1\n",
      "\tPre-selected 1326 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['SNCG', 'EDNRA']\n",
      "\t  fbeta: 0.759\n",
      "\t  precision: 0.923\n",
      "\t  recall: 0.444\n",
      "16 out of 16:\n",
      "\ti9_i22_TAC3_Vip_Mybpc1\n",
      "\tPre-selected 1005 genes to feed into Random Forest.\n",
      "\t  NSForest-selected markers: ['BSPRY', 'MCTP2']\n",
      "\t  fbeta: 0.69\n",
      "\t  precision: 0.889\n",
      "\t  recall: 0.364\n",
      "Saving supplementary table as...\n",
      "../../outputs_layer1/cluster_supplementary.csv\n",
      "Saving markers table as...\n",
      "../../outputs_layer1/cluster_markers.csv\n",
      "using mean\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating medians (means) per cluster: 100%|██████████| 16/16 [00:00<00:00, 314.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving supplementary table as...\n",
      "../../outputs_layer1/cluster_markers_onTarget_supp.csv\n",
      "Saving supplementary table as...\n",
      "../../outputs_layer1/cluster_markers_onTarget.csv\n",
      "Saving final results table as...\n",
      "../../outputs_layer1/cluster_results.csv\n",
      "Saving final results table as...\n",
      "../../outputs_layer1/cluster_results.pkl\n",
      "--- 63.96290040016174 seconds ---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "outputfilename_prefix = cluster_header\n",
    "results = nsforesting.NSForest(adata_subset, cluster_header, save = True, save_supplementary = True, \n",
    "                               output_folder = output_folder, outputfilename_prefix = outputfilename_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7fb3867d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>software_version</th>\n",
       "      <th>cluster_header</th>\n",
       "      <th>clusterName</th>\n",
       "      <th>clusterSize</th>\n",
       "      <th>f_score</th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>TN</th>\n",
       "      <th>FP</th>\n",
       "      <th>FN</th>\n",
       "      <th>TP</th>\n",
       "      <th>marker_count</th>\n",
       "      <th>NSForest_markers</th>\n",
       "      <th>binary_genes</th>\n",
       "      <th>onTarget</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>e1_e299_SLC17A7_L5b_Cdh13</td>\n",
       "      <td>299</td>\n",
       "      <td>0.959741</td>\n",
       "      <td>0.978022</td>\n",
       "      <td>0.892977</td>\n",
       "      <td>566</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>267</td>\n",
       "      <td>1</td>\n",
       "      <td>[LINC00507]</td>\n",
       "      <td>[SLC17A7, LINC00508, TBR1, ANKRD33B, NPTX1, LI...</td>\n",
       "      <td>0.479336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>g1_g48_GLI3_Astro_Gja1</td>\n",
       "      <td>48</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.791667</td>\n",
       "      <td>823</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>[LINC00498]</td>\n",
       "      <td>[LINC00498, SLC25A18, EMX2OS, FAM189A2, SLC7A1...</td>\n",
       "      <td>0.882322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>g2_g27_APBB1IP_Micro_Ctss</td>\n",
       "      <td>27</td>\n",
       "      <td>0.975610</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.888889</td>\n",
       "      <td>844</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>[ADAM28, PTPRC]</td>\n",
       "      <td>[ADAM28, PLCG2, INPP5D, PTPRC, CSF2RA, P2RY13,...</td>\n",
       "      <td>0.736514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>g3_g18_GPNMB_OPC_Pdgfra</td>\n",
       "      <td>18</td>\n",
       "      <td>0.862069</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.555556</td>\n",
       "      <td>853</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>[GPNMB, OLIG2]</td>\n",
       "      <td>[GPNMB, COL20A1, OLIG2, STK32A, KLRC3, KLRC2, ...</td>\n",
       "      <td>0.656991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>g4_g9_MOG_Oligo_Opalin</td>\n",
       "      <td>9</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>862</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>[ST18]</td>\n",
       "      <td>[ST18, MOBP, CNDP1, MOG, CD22, FOLH1, TF, CARN...</td>\n",
       "      <td>0.622487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i10_i16_TSPAN12_Vip_Mybpc1</td>\n",
       "      <td>16</td>\n",
       "      <td>0.803571</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.562500</td>\n",
       "      <td>854</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>[TSPAN12, CHRNB3]</td>\n",
       "      <td>[TSPAN12, TMC5, LINC01539, CHRNB3, FAM46A, ANG...</td>\n",
       "      <td>0.370267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i11_i6_EGF_Vip_Mybpc1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>865</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>[EGF, FBRSL1]</td>\n",
       "      <td>[EGF, FZD8, KCNJ2_AS1, FBRSL1, TEKT1, NRG3_AS1...</td>\n",
       "      <td>0.356487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i1_i90_COL5A2_Ndnf_Car4</td>\n",
       "      <td>90</td>\n",
       "      <td>0.907821</td>\n",
       "      <td>0.970149</td>\n",
       "      <td>0.722222</td>\n",
       "      <td>779</td>\n",
       "      <td>2</td>\n",
       "      <td>25</td>\n",
       "      <td>65</td>\n",
       "      <td>2</td>\n",
       "      <td>[COL5A2, BMP6]</td>\n",
       "      <td>[NMBR, COL5A2, C8ORF4, PAPSS2, TRPC3, BMP6, SS...</td>\n",
       "      <td>0.299027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i2_i77_LHX6_Sst_Cbln4</td>\n",
       "      <td>77</td>\n",
       "      <td>0.816619</td>\n",
       "      <td>0.838235</td>\n",
       "      <td>0.740260</td>\n",
       "      <td>783</td>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "      <td>[LHX6]</td>\n",
       "      <td>[LHX6, FLT3, TAC1, CALB1, RSPO3, TRBC2, GRIK3,...</td>\n",
       "      <td>0.795864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i3_i56_BAGE2_Ndnf_Cxcl14</td>\n",
       "      <td>56</td>\n",
       "      <td>0.781250</td>\n",
       "      <td>0.961538</td>\n",
       "      <td>0.446429</td>\n",
       "      <td>814</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>[BAGE2, SYT10]</td>\n",
       "      <td>[BAGE2, SCN5A, GREM2, FAM19A4, SYT10, ARHGAP18...</td>\n",
       "      <td>0.282582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i4_i54_MC4R_Ndnf_Cxcl14</td>\n",
       "      <td>54</td>\n",
       "      <td>0.857143</td>\n",
       "      <td>0.923077</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>814</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "      <td>2</td>\n",
       "      <td>[ARHGAP36, ADAM33]</td>\n",
       "      <td>[ARHGAP36, MC4R, COBLL1, HLA_B, LINC01435, ADA...</td>\n",
       "      <td>0.394957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i5_i47_TRPC3_Ndnf_Car4</td>\n",
       "      <td>47</td>\n",
       "      <td>0.906433</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.659574</td>\n",
       "      <td>824</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>[NTNG1, EYA4]</td>\n",
       "      <td>[SSTR2, KIRREL, TRPC3, NTNG1, TARID, EYA4, CA2...</td>\n",
       "      <td>0.265959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i6_i44_GPR149_Vip_Mybpc1</td>\n",
       "      <td>44</td>\n",
       "      <td>0.791667</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.431818</td>\n",
       "      <td>827</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>[FLT1, GPR149]</td>\n",
       "      <td>[FLT1, PLCE1_AS1, CXCL12, SLC22A3, PLCE1_AS2, ...</td>\n",
       "      <td>0.455438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i7_i31_CLMP_Ndnf_Cxcl14</td>\n",
       "      <td>31</td>\n",
       "      <td>0.900901</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.645161</td>\n",
       "      <td>840</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>[PAX6, TGFBR2]</td>\n",
       "      <td>[KIAA1644, FGF10, CLMP, PAX6, SP8, TGFBR2, WIF...</td>\n",
       "      <td>0.364283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i8_i27_SNCG_Vip_Mybpc1</td>\n",
       "      <td>27</td>\n",
       "      <td>0.759494</td>\n",
       "      <td>0.923077</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>843</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>[SNCG, EDNRA]</td>\n",
       "      <td>[SNCG, MMRN2, EDNRA, FBN3, KCNK2, RGS2, SCML4,...</td>\n",
       "      <td>0.474188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i9_i22_TAC3_Vip_Mybpc1</td>\n",
       "      <td>22</td>\n",
       "      <td>0.689655</td>\n",
       "      <td>0.888889</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>848</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>[BSPRY, MCTP2]</td>\n",
       "      <td>[BSPRY, OFD1P10Y, MCTP2, OFD1P8Y, OFD1P15Y, OF...</td>\n",
       "      <td>0.467223</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   software_version cluster_header                 clusterName  clusterSize  \\\n",
       "0               4.1        cluster   e1_e299_SLC17A7_L5b_Cdh13          299   \n",
       "1               4.1        cluster      g1_g48_GLI3_Astro_Gja1           48   \n",
       "2               4.1        cluster   g2_g27_APBB1IP_Micro_Ctss           27   \n",
       "3               4.1        cluster     g3_g18_GPNMB_OPC_Pdgfra           18   \n",
       "4               4.1        cluster      g4_g9_MOG_Oligo_Opalin            9   \n",
       "5               4.1        cluster  i10_i16_TSPAN12_Vip_Mybpc1           16   \n",
       "6               4.1        cluster       i11_i6_EGF_Vip_Mybpc1            6   \n",
       "7               4.1        cluster     i1_i90_COL5A2_Ndnf_Car4           90   \n",
       "8               4.1        cluster       i2_i77_LHX6_Sst_Cbln4           77   \n",
       "9               4.1        cluster    i3_i56_BAGE2_Ndnf_Cxcl14           56   \n",
       "10              4.1        cluster     i4_i54_MC4R_Ndnf_Cxcl14           54   \n",
       "11              4.1        cluster      i5_i47_TRPC3_Ndnf_Car4           47   \n",
       "12              4.1        cluster    i6_i44_GPR149_Vip_Mybpc1           44   \n",
       "13              4.1        cluster     i7_i31_CLMP_Ndnf_Cxcl14           31   \n",
       "14              4.1        cluster      i8_i27_SNCG_Vip_Mybpc1           27   \n",
       "15              4.1        cluster      i9_i22_TAC3_Vip_Mybpc1           22   \n",
       "\n",
       "     f_score  precision    recall   TN  FP  FN   TP  marker_count  \\\n",
       "0   0.959741   0.978022  0.892977  566   6  32  267             1   \n",
       "1   0.950000   1.000000  0.791667  823   0  10   38             1   \n",
       "2   0.975610   1.000000  0.888889  844   0   3   24             2   \n",
       "3   0.862069   1.000000  0.555556  853   0   8   10             2   \n",
       "4   1.000000   1.000000  1.000000  862   0   0    9             1   \n",
       "5   0.803571   0.900000  0.562500  854   1   7    9             2   \n",
       "6   0.714286   1.000000  0.333333  865   0   4    2             2   \n",
       "7   0.907821   0.970149  0.722222  779   2  25   65             2   \n",
       "8   0.816619   0.838235  0.740260  783  11  20   57             1   \n",
       "9   0.781250   0.961538  0.446429  814   1  31   25             2   \n",
       "10  0.857143   0.923077  0.666667  814   3  18   36             2   \n",
       "11  0.906433   1.000000  0.659574  824   0  16   31             2   \n",
       "12  0.791667   1.000000  0.431818  827   0  25   19             2   \n",
       "13  0.900901   1.000000  0.645161  840   0  11   20             2   \n",
       "14  0.759494   0.923077  0.444444  843   1  15   12             2   \n",
       "15  0.689655   0.888889  0.363636  848   1  14    8             2   \n",
       "\n",
       "      NSForest_markers                                       binary_genes  \\\n",
       "0          [LINC00507]  [SLC17A7, LINC00508, TBR1, ANKRD33B, NPTX1, LI...   \n",
       "1          [LINC00498]  [LINC00498, SLC25A18, EMX2OS, FAM189A2, SLC7A1...   \n",
       "2      [ADAM28, PTPRC]  [ADAM28, PLCG2, INPP5D, PTPRC, CSF2RA, P2RY13,...   \n",
       "3       [GPNMB, OLIG2]  [GPNMB, COL20A1, OLIG2, STK32A, KLRC3, KLRC2, ...   \n",
       "4               [ST18]  [ST18, MOBP, CNDP1, MOG, CD22, FOLH1, TF, CARN...   \n",
       "5    [TSPAN12, CHRNB3]  [TSPAN12, TMC5, LINC01539, CHRNB3, FAM46A, ANG...   \n",
       "6        [EGF, FBRSL1]  [EGF, FZD8, KCNJ2_AS1, FBRSL1, TEKT1, NRG3_AS1...   \n",
       "7       [COL5A2, BMP6]  [NMBR, COL5A2, C8ORF4, PAPSS2, TRPC3, BMP6, SS...   \n",
       "8               [LHX6]  [LHX6, FLT3, TAC1, CALB1, RSPO3, TRBC2, GRIK3,...   \n",
       "9       [BAGE2, SYT10]  [BAGE2, SCN5A, GREM2, FAM19A4, SYT10, ARHGAP18...   \n",
       "10  [ARHGAP36, ADAM33]  [ARHGAP36, MC4R, COBLL1, HLA_B, LINC01435, ADA...   \n",
       "11       [NTNG1, EYA4]  [SSTR2, KIRREL, TRPC3, NTNG1, TARID, EYA4, CA2...   \n",
       "12      [FLT1, GPR149]  [FLT1, PLCE1_AS1, CXCL12, SLC22A3, PLCE1_AS2, ...   \n",
       "13      [PAX6, TGFBR2]  [KIAA1644, FGF10, CLMP, PAX6, SP8, TGFBR2, WIF...   \n",
       "14       [SNCG, EDNRA]  [SNCG, MMRN2, EDNRA, FBN3, KCNK2, RGS2, SCML4,...   \n",
       "15      [BSPRY, MCTP2]  [BSPRY, OFD1P10Y, MCTP2, OFD1P8Y, OFD1P15Y, OF...   \n",
       "\n",
       "    onTarget  \n",
       "0   0.479336  \n",
       "1   0.882322  \n",
       "2   0.736514  \n",
       "3   0.656991  \n",
       "4   0.622487  \n",
       "5   0.370267  \n",
       "6   0.356487  \n",
       "7   0.299027  \n",
       "8   0.795864  \n",
       "9   0.282582  \n",
       "10  0.394957  \n",
       "11  0.265959  \n",
       "12  0.455438  \n",
       "13  0.364283  \n",
       "14  0.474188  \n",
       "15  0.467223  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c3fd0f2",
   "metadata": {},
   "source": [
    "#### Plotting classification metrics from NS-Forest results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b699c319",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving...\n",
      " ../../outputs_layer1/cluster_boxplot_f_score.html\n"
     ]
    },
    {
     "data": {
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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},mt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},gt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+m(e))/r)]};var bt=3+2*w;function _t(t,e){var r=m(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=m(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var 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a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(g(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(m(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),g=a(f,u),b=i*p(g/i),_=g-b,w=t*o(_),T=(t*m(_)-_*m(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=_*m(u),u<x&&(f-=T*(u-x));var E=m(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*m(d);for(var g=r-x,v=m(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*m(b),k=t*o(b),A=m(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*g-l)/(v-2*g*(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*m(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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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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.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\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:283,\"to-px\":314,\"typedarray-pool\":327}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):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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null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new 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 mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.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},gi.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},gi.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 mi(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 gi(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 g(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(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){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,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,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]=m,this.uint32[x+10]=g,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,m,g,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,m,g,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,m,g,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]=m,this.uint16[L+15]=g,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 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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(ms(\"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 m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-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);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);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,m=0,g=t;m<g.length;m+=1){for(var v=g[m],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),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.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,m,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=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).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,m,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=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-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,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,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,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new 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e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+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*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,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,gl,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,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{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,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];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);g.push(T)}}else if(x){g=[];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,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(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,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++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,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,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,g,o,s,l,f,c,h,m),!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 mc(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 gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=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,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.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=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.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,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.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),m=0,g=t;m<g.length;m+=1){var v=g[m],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 m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].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),m=this.glyphOffsetArray.length,g=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,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];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),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];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[g];void 0===w&&(w=t[g]=[]),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),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},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=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(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(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(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 gt(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 g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(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=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}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 m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=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&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=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(m||[],e+1,2*r,2*n),s.push(g||[],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 gt(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]?gt(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],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _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=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function 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]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(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 m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(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],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var 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],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;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=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];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,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=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:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(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=m[m.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,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!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,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).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),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,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 m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,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}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.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(g*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};m=[O]}for(var z=0,D=m;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,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-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=m+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 m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},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 m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;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=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.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 me=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)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=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),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=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:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,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 m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,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&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},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,m=a.collisionGroup,g=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()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!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 g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.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,m.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=g||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,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.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 ge(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 me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(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 me(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 me(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 me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!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[m];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)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=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:m,stretchY:g,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 m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].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][m];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=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(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 m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=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));}\"),gr=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:mr,symbolSDF:gr,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,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},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 m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;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,m){var g,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=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[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,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,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,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$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&&(m[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=m[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,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!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!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],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(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.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,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,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 m=d[p],g=e.getTile(m),v=g.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),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):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 m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.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 mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(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 gn(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),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$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),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,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\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,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=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),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,g,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),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,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\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=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?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.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,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,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[g.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\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;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},g):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 m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var 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&&mn(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 m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.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 m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}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),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},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}(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 m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];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(mi(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 m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),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=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var 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 m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},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 gi(\"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)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,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),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).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 m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,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),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),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),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof 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 m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.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(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.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\"),g.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(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?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,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[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 n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[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 n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[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 n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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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\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var 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>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[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 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\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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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=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(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 g=p[o],v=p[o+1],y=g[g.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(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.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,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={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,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var g,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=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\")):g>i.width-b?(g=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=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=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(g<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-g+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES,u=t(\"../../lib\").extendDeep;e.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function 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}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];m&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!m&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e})(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},{\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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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 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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\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),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 m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return 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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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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var 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u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},H.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.minorGridlayer&&r.minorGridlayer.selectAll(\"path\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:H.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e),i=H.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=H.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=H.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,A=H.makeTransTickFn(e),M=H.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=H.clipEnds(e,L),T=S?k:L}else k=H.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C,P=e._gridVals=k,I=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var O=e._subplotsWith,z={};for(n=0;n<O.length;n++){i=O[n];var D=(l=c._plots[i])[m+\"axis\"],R=D._mainAxis._id;if(!z[R]){z[R]=1;var F=\"x\"===d?\"M0,\"+D._offset+\"v\"+D._length:\"M\"+D._offset+\",0h\"+D._length;H.drawGrid(t,e,{vals:P,counterAxis:D,layer:l.gridlayer.select(\".\"+p),minorLayer:l.minorGridlayer.select(\".\"+p),path:F,transFn:A}),H.drawZeroLine(t,e,{counterAxis:D,layer:l.zerolinelayer,path:F,transFn:A})}}}var B=H.getTickSigns(e),N=H.getTickSigns(e,\"minor\");if(e.ticks||e.minor&&e.minor.ticks){var j,q,G,Y,W=H.makeTickPath(e,y,B[2]),X=H.makeTickPath(e,y,N[2],{minor:!0});if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=H.makeTickPath(e,x,B[3]),q=H.makeTickPath(e,x,N[3],{minor:!0}),G=W+j,Y=X+q):(j=\"\",q=\"\",G=W,Y=X),e.showdividers&&E&&\"boundaries\"===e.tickson){var Z={};for(n=0;n<I.length;n++)Z[I[n].x]=1;C=function(t){return Z[t.x]?j:G}}else C=function(t){return t.minor?Y:G}}if(H.drawTicks(t,e,{vals:T,layer:v,path:C,transFn:A}),\"allticks\"===e.mirror){var J=Object.keys(e._linepositions||{});for(n=0;n<J.length;n++){i=J[n],l=c._plots[i];var K=e._linepositions[i]||[],Q=K[0],$=K[1],tt=K[2],et=H.makeTickPath(e,Q,tt?B[0]:N[0],{minor:tt})+H.makeTickPath(e,$,tt?B[1]:N[1],{minor:tt});H.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:et,transFn:A})}}var rt=[];if(rt.push((function(){return H.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:H.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var nt={x:2,y:10}[d];rt.push((function(){var r={x:\"height\",y:\"width\"}[d],n=at()[r]+nt+(e._tickAngles[p+\"tick\"]?e.tickfont.size*U:0);return H.drawLabels(t,e,{vals:vt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:H.makeLabelFns(e,y+n*B[4])})})),rt.push((function(){return e._depth=B[4]*(at(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,xt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:I,layer:v,path:H.makeTickPath(e,y,B[4],{len:e._depth}),transFn:A})}))}else e.title.hasOwnProperty(\"standoff\")&&rt.push((function(){e._depth=B[4]*(at()[e.side]-y)}));var it=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return rt.push((function(){var r,n,i,s,l=e.side.charAt(0),u=V[e.side].charAt(0),f=H.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||it)&&(\"multicategory\"===e.type?r=at(\"tick2\"):(r=at(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=bt(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}it&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,Tt(e),n),a.autoMargin(t,kt(e),i),a.autoMargin(t,At(e),s)})),r.skipTitle||it&&\"bottom\"===e.side||rt.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+bt(e);else{var s=Pt(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=H.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(rt)}}function at(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=wt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},H.getTickSigns=function(t,e){var r=t._id.charAt(0),n={x:\"top\",y:\"right\"}[r],i=t.side===n?1:-1,a=[-1,1,i,-i];return\"inside\"!==(e?(t.minor||{}).ticks:t.ticks)==(\"x\"===r)&&(a=a.map((function(t){return-t}))),t.side&&a.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),a},H.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},H.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*j,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-j));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(yt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(yt(e)))}},H.makeTickPath=function(t,e,r,n){n||(n={});var i=n.minor;if(i&&!t.minor)return\"\";var a=void 0!==n.len?n.len:i?t.minor.ticklen:t.ticklen,o=t._id.charAt(0),s=(t.linewidth||1)/2;return\"x\"===o?\"M0,\"+(e+s*r)+\"v\"+a*r:\"M\"+(e+s*r)+\",0h\"+a*r},H.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if(\"x\"===A)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=N:x=-90===M&&\"bottom\"===k?j:90===M&&\"top\"===k?N:.5,T=N/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===A){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&\"left\"===k||90===M&&\"right\"===k?j:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*j*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*N},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},H.drawTicks=function(t,e,r){r=r||{};var i=e._id+\"tick\",a=[].concat(e.minor&&e.minor.ticks?r.vals.filter((function(t){return t.minor&&!t.noTick})):[]).concat(e.ticks?r.vals.filter((function(t){return!t.minor&&!t.noTick})):[]),o=r.layer.selectAll(\"path.\"+i).data(a,xt);o.exit().remove(),o.enter().append(\"path\").classed(i,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.tickcolor:e.tickcolor)})).style(\"stroke-width\",(function(r){return h.crispRound(t,r.minor?e.minor.tickwidth:e.tickwidth,1)+\"px\"})).attr(\"d\",r.path).style(\"display\",null),It(e,[R]),o.attr(\"transform\",r.transFn)},H.drawGrid=function(t,e,r){r=r||{};var i=e._id+\"grid\",a=e.minor&&e.minor.showgrid,o=a?r.vals.filter((function(t){return t.minor})):[],s=e.showgrid?r.vals.filter((function(t){return!t.minor})):[],l=r.counterAxis;if(l&&H.shouldShowZeroLine(t,e,l))for(var c=\"array\"===e.tickmode,u=0;u<s.length;u++){var p=s[u].x;if(c?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,u).concat(s.slice(u+1)),!c)break;u--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,m=r.layer,g=r.minorLayer,v=1;v>=0;v--){var y=v?m:g;if(y){var x=y.selectAll(\"path.\"+i).data(v?s:o,xt);x.exit().remove(),x.enter().append(\"path\").classed(i,1).classed(\"crisp\",!1!==r.crisp),x.attr(\"transform\",r.transFn).attr(\"d\",r.path).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.gridcolor:e.gridcolor||\"#ddd\")})).style(\"stroke-dasharray\",(function(t){return h.dashStyle(t.minor?e.minor.griddash:e.griddash,t.minor?e.minor.gridwidth:e.gridwidth)})).style(\"stroke-width\",(function(t){return(t.minor?d:e._gw)+\"px\"})).style(\"display\",null),\"function\"==typeof r.path&&x.attr(\"d\",r.path)}}It(e,[z,D])},H.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=H.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return Y(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),It(e,[O])},H.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals.filter((function(t){return t.text})),d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],xt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=U*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),It(e,[F]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var 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o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===D.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?yt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var 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n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"../array_container_defaults\"),l=t(\"./layout_attributes\"),c=t(\"./tick_value_defaults\"),u=t(\"./tick_mark_defaults\"),f=t(\"./tick_label_defaults\"),h=t(\"./prefix_suffix_defaults\"),p=t(\"./category_order_defaults\"),d=t(\"./line_grid_defaults\"),m=t(\"./set_convert\"),g=t(\"./constants\").WEEKDAY_PATTERN,v=t(\"./constants\").HOUR_PATTERN;function y(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,c,u=\"\";if(2===o.length)for(s=0;s<2;s++)if(c=b(o[s])){u=g;break}var f=i(\"pattern\",u);if(f===g)for(s=0;s<2;s++)(c=b(o[s]))&&(e.bounds[s]=o[s]=c-1);if(f)for(s=0;s<2;s++)switch(c=o[s],f){case g:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=c;break;case v:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Zt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":366,\"../../components/dragelement\":385,\"../../components/dragelement/helpers\":384,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/clear_gl_canvases\":487,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/subroutines\":544,\"../../registry\":638,\"../plots\":619,\"./axes\":554,\"./axis_ids\":558,\"./constants\":561,\"./scale_zoom\":574,\"./select\":575,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:312}],564:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":385,\"../../components/fx\":406,\"../../lib/setcursor\":524,\"./constants\":561,\"./dragbox\":563,\"@plotly/d3\":58}],565:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],566:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{\"../../lib\":503}],567:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":503,\"../../registry\":638,\"./axis_ids\":558}],568:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.minorGridlayer=s.minorGridlayer,e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else 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yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":366,\"../../components/fx/helpers\":402,\"../../components/fx/hovermode_defaults\":405,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638,\"../layout_attributes\":610,\"./axis_defaults\":556,\"./axis_ids\":558,\"./constants\":561,\"./constraints\":562,\"./layout_attributes\":569,\"./position_defaults\":572,\"./type_defaults\":582}],571:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\"),a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i.lightFraction).toRgbString()),h=l(\"gridwidth\"),p=l(\"griddash\");if(r(\"showgrid\",o.showGrid||!!f||!!h||!!p)||(delete e.gridcolor,delete e.gridwidth,delete e.griddash),o.hasMinor){var d=l(\"minor.gridcolor\",n(e.gridcolor,o.bgColor,67).toRgbString()),m=l(\"minor.gridwidth\",e.gridwidth||1),g=l(\"minor.griddash\",e.griddash||\"solid\");r(\"minor.showgrid\",!!d||!!m||!!g)||(delete e.minor.gridcolor,delete e.minor.gridwidth,delete e.minor.griddash)}if(!o.noZeroLine){var v=l(\"zerolinecolor\",s),y=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!v||!!y)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":365,\"../../lib\":503,tinycolor2:312}],572:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":503,\"fast-isnumeric\":190}],573:[function(t,e,r){\"use strict\";var n=t(\"./show_dflt\");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r(\"tickprefix\")&&r(\"showtickprefix\",s),r(\"ticksuffix\",o)&&r(\"showticksuffix\",s)}},{\"./show_dflt\":577}],574:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":471}],575:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return 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e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var 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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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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":503,\"../../plots/get_data\":593,\"./geo\":588,\"./layout_attributes\":590,\"./layout_defaults\":591}],590:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../../components/drawing/attributes\").dash,o=t(\"./constants\"),s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"../../lib/sort_object_keys\"),c={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:a};(e.exports=s({domain:i({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:l(o.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:l(o.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:o.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:o.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:o.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:o.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:c,lataxis:c},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../components/drawing/attributes\":387,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../domain\":584,\"./constants\":587}],591:[function(t,e,r){\"use 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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 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n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.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\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var 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();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(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 m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=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 g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(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,g=[[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){g[0][a]=1/0,g[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?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[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[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[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 s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use 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}},{}],610:[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, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var 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(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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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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m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.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 b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":388,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/get_data\":593,\"./constants\":611,\"./layout_attributes\":615,\"./layout_defaults\":616,\"./mapbox\":617,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],614:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var 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O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function H(){null!==z?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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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 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,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*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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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 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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 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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 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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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\":908}],789:[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\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:u({},i.showlegend,{dflt:!1})},{transforms:void 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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:g});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,m=n.gaugeBg,g=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=[m].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 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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\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").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 m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(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||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(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 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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 m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=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(),m=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 g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.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+m.left,y:_-d.top+m.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(m),-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 m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,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:m,category:g,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,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,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:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count: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(m),-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 m={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(m),N(m)),m}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})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[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 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);\\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) + 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,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 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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\":503,\"./constants\":893,glslify:227}],898:[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}},{}],899:[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,m=p.repeat,g=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 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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={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[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 m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[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\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[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\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[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,m=t(\"../bar/constants\").TEXTPAD,g=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:[g.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),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.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:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[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=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),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,m=[];if(!d){var g,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,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.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;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function 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\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(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],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=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=m.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),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.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=g.castOption(m.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=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,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,m.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(m.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(m.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=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var 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(g(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(g(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,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.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 m=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(m.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}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(),m=h.left-2-u.left,g=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*m,x1:x*g,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 a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":920,\"./render\":924,\"@plotly/d3\":58}],924:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=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?[m,g]:[g,m]).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[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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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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g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":955}],960:[function(t,e,r){\"use 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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\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[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\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<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\":503,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/line_shape_defaults\":942,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":961}],964:[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}},{}],965:[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}},{}],966:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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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,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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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-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}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,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[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,m){function g(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,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[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]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[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\":936}],987:[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\":982}],988:[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 m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var 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,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.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?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!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 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_=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.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})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.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=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.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 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[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\":503}],992:[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 m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;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(g){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,m&&i(r),s}},{\"../scatter/subtypes\":952,\"./edit_style\":985}],993:[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\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927,\"../scattergeo/attributes\":969}],994:[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 m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(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=m(),S=m(),E=m(),L=m(),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),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":633,\"../scattergl/attributes\":979,\"../scatterpolar/attributes\":1002}],1010:[function(t,e,r){\"use 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var 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),m=l.dataScale,g=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<g;r++)x[e][r]=[];for(r=0;r<g;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<g;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<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;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<g;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(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;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(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[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 t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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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 d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(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)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,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,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|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,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|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,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|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,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|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,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|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,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|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,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,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 m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(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],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-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),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var 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,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(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 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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 v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!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&&(m||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 m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,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=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-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 m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=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));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.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(g)||(g=1),a.vectorScale=g;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=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(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,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,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(g=0;g<n.length;++g)for(var y=n[g],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(g=0;g<r.length;++g){var _=r[g];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)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var 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 m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||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=m(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),g=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:g,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,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,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):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){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 m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),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],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};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 m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function 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:m(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:m(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],m=t.lineWidth||1,g=!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,g=!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(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){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,g=!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 g(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 g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=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*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,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]=(m*T-g*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]=(g*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-m*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]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=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(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-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*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=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*m,t[1]=x*i+b*l+_*h+w*g,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*m,t[5]=x*i+b*l+_*h+w*g,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*m,t[9]=x*i+b*l+_*h+w*g,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*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,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],m=e[8],g=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+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+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*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=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(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=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,m,g,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=g,this.edgeUVs=v,this.edgeIds=m,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,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,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],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*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=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(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=m(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),m=i(t),g=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:m,type:t.FLOAT,size:4},{buffer:g,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,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&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,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=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*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],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 m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.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,m=e.tickPad,g=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*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[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*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=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))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(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],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/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()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-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)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(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&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}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 m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var 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]=g((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 m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={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,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(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),m=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 g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.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,m=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=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+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,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}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]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(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,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=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),g=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(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=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 m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}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),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<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][m],L=a[1][y],C=a[2][g],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&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],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),m=c(r),g=c(n),v=Math.min(d,m,g);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=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.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=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,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\",g.update(v),g};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\"),m=t(\"binary-search-bounds\"),g=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,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=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=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[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 m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}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,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.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 m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,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)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].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=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function 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=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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   "source": [
    "### Plotting scanpy dot plot, violin plot, matrix plot for NS-Forest markers\n",
    "\n",
    "**Note:** Assign pre-defined dendrogram order here **or** use `adata.uns[\"dendrogram_\" + cluster_header][\"categories_ordered\"]`.\n",
    "\n",
    "Notice how the non-altered `adata` is used to plot, instead of `adata_subset`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3d2b4a01",
   "metadata": {},
   "outputs": [],
   "source": [
    "to_plot = results.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9dd2992f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>software_version</th>\n",
       "      <th>cluster_header</th>\n",
       "      <th>clusterName</th>\n",
       "      <th>clusterSize</th>\n",
       "      <th>f_score</th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>TN</th>\n",
       "      <th>FP</th>\n",
       "      <th>FN</th>\n",
       "      <th>TP</th>\n",
       "      <th>marker_count</th>\n",
       "      <th>markers</th>\n",
       "      <th>binary_genes</th>\n",
       "      <th>onTarget</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>e1_e299_SLC17A7_L5b_Cdh13</td>\n",
       "      <td>299</td>\n",
       "      <td>0.959741</td>\n",
       "      <td>0.978022</td>\n",
       "      <td>0.892977</td>\n",
       "      <td>566</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>267</td>\n",
       "      <td>1</td>\n",
       "      <td>[LINC00507]</td>\n",
       "      <td>[SLC17A7, LINC00508, TBR1, ANKRD33B, NPTX1, LI...</td>\n",
       "      <td>0.479336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i7_i31_CLMP_Ndnf_Cxcl14</td>\n",
       "      <td>31</td>\n",
       "      <td>0.900901</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.645161</td>\n",
       "      <td>840</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>[PAX6, TGFBR2]</td>\n",
       "      <td>[KIAA1644, FGF10, CLMP, PAX6, SP8, TGFBR2, WIF...</td>\n",
       "      <td>0.364283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i1_i90_COL5A2_Ndnf_Car4</td>\n",
       "      <td>90</td>\n",
       "      <td>0.907821</td>\n",
       "      <td>0.970149</td>\n",
       "      <td>0.722222</td>\n",
       "      <td>779</td>\n",
       "      <td>2</td>\n",
       "      <td>25</td>\n",
       "      <td>65</td>\n",
       "      <td>2</td>\n",
       "      <td>[COL5A2, BMP6]</td>\n",
       "      <td>[NMBR, COL5A2, C8ORF4, PAPSS2, TRPC3, BMP6, SS...</td>\n",
       "      <td>0.299027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i5_i47_TRPC3_Ndnf_Car4</td>\n",
       "      <td>47</td>\n",
       "      <td>0.906433</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.659574</td>\n",
       "      <td>824</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>[NTNG1, EYA4]</td>\n",
       "      <td>[SSTR2, KIRREL, TRPC3, NTNG1, TARID, EYA4, CA2...</td>\n",
       "      <td>0.265959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i10_i16_TSPAN12_Vip_Mybpc1</td>\n",
       "      <td>16</td>\n",
       "      <td>0.803571</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.562500</td>\n",
       "      <td>854</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>[TSPAN12, CHRNB3]</td>\n",
       "      <td>[TSPAN12, TMC5, LINC01539, CHRNB3, FAM46A, ANG...</td>\n",
       "      <td>0.370267</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   software_version cluster_header                 clusterName  clusterSize  \\\n",
       "0               4.1        cluster   e1_e299_SLC17A7_L5b_Cdh13          299   \n",
       "13              4.1        cluster     i7_i31_CLMP_Ndnf_Cxcl14           31   \n",
       "7               4.1        cluster     i1_i90_COL5A2_Ndnf_Car4           90   \n",
       "11              4.1        cluster      i5_i47_TRPC3_Ndnf_Car4           47   \n",
       "5               4.1        cluster  i10_i16_TSPAN12_Vip_Mybpc1           16   \n",
       "\n",
       "     f_score  precision    recall   TN  FP  FN   TP  marker_count  \\\n",
       "0   0.959741   0.978022  0.892977  566   6  32  267             1   \n",
       "13  0.900901   1.000000  0.645161  840   0  11   20             2   \n",
       "7   0.907821   0.970149  0.722222  779   2  25   65             2   \n",
       "11  0.906433   1.000000  0.659574  824   0  16   31             2   \n",
       "5   0.803571   0.900000  0.562500  854   1   7    9             2   \n",
       "\n",
       "              markers                                       binary_genes  \\\n",
       "0         [LINC00507]  [SLC17A7, LINC00508, TBR1, ANKRD33B, NPTX1, LI...   \n",
       "13     [PAX6, TGFBR2]  [KIAA1644, FGF10, CLMP, PAX6, SP8, TGFBR2, WIF...   \n",
       "7      [COL5A2, BMP6]  [NMBR, COL5A2, C8ORF4, PAPSS2, TRPC3, BMP6, SS...   \n",
       "11      [NTNG1, EYA4]  [SSTR2, KIRREL, TRPC3, NTNG1, TARID, EYA4, CA2...   \n",
       "5   [TSPAN12, CHRNB3]  [TSPAN12, TMC5, LINC01539, CHRNB3, FAM46A, ANG...   \n",
       "\n",
       "    onTarget  \n",
       "0   0.479336  \n",
       "13  0.364283  \n",
       "7   0.299027  \n",
       "11  0.265959  \n",
       "5   0.370267  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dendrogram = [] # custom dendrogram order\n",
    "dendrogram = list(adata.uns[\"dendrogram_\" + cluster_header][\"categories_ordered\"])\n",
    "to_plot[\"clusterName\"] = to_plot[\"clusterName\"].astype(\"category\")\n",
    "to_plot[\"clusterName\"] = to_plot[\"clusterName\"].cat.set_categories(dendrogram)\n",
    "to_plot = to_plot.sort_values(\"clusterName\")\n",
    "to_plot = to_plot.rename(columns = {\"NSForest_markers\": \"markers\"})\n",
    "to_plot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d2b2876f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'e1_e299_SLC17A7_L5b_Cdh13': ['LINC00507'],\n",
       " 'i7_i31_CLMP_Ndnf_Cxcl14': ['PAX6', 'TGFBR2'],\n",
       " 'i1_i90_COL5A2_Ndnf_Car4': ['COL5A2', 'BMP6'],\n",
       " 'i5_i47_TRPC3_Ndnf_Car4': ['NTNG1', 'EYA4'],\n",
       " 'i10_i16_TSPAN12_Vip_Mybpc1': ['TSPAN12', 'CHRNB3'],\n",
       " 'i4_i54_MC4R_Ndnf_Cxcl14': ['ARHGAP36', 'ADAM33'],\n",
       " 'i9_i22_TAC3_Vip_Mybpc1': ['BSPRY', 'MCTP2'],\n",
       " 'i6_i44_GPR149_Vip_Mybpc1': ['FLT1', 'GPR149'],\n",
       " 'i8_i27_SNCG_Vip_Mybpc1': ['SNCG', 'EDNRA'],\n",
       " 'g1_g48_GLI3_Astro_Gja1': ['LINC00498'],\n",
       " 'g3_g18_GPNMB_OPC_Pdgfra': ['GPNMB', 'OLIG2'],\n",
       " 'g2_g27_APBB1IP_Micro_Ctss': ['ADAM28', 'PTPRC'],\n",
       " 'g4_g9_MOG_Oligo_Opalin': ['ST18'],\n",
       " 'i2_i77_LHX6_Sst_Cbln4': ['LHX6'],\n",
       " 'i11_i6_EGF_Vip_Mybpc1': ['EGF', 'FBRSL1'],\n",
       " 'i3_i56_BAGE2_Ndnf_Cxcl14': ['BAGE2', 'SYT10']}"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "markers_dict = dict(zip(to_plot[\"clusterName\"], to_plot[\"markers\"]))\n",
    "markers_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "460993c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: saving figure to file ..\\..\\outputs_layer1\\dotplot_cluster.png\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\bpeng\\AppData\\Local\\anaconda3\\Lib\\site-packages\\scanpy\\plotting\\_dotplot.py:747: UserWarning:\n",
      "\n",
      "No data for colormapping provided via 'c'. Parameters 'cmap', 'norm' will be ignored\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1186x660 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ns.pl.dotplot(adata, markers_dict, cluster_header, dendrogram = dendrogram, save = True, output_folder = output_folder, outputfilename_suffix = outputfilename_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d5f4343f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: saving figure to file ..\\..\\outputs_layer1\\stacked_violin_cluster.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1186x660 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ns.pl.stackedviolin(adata, markers_dict, cluster_header, dendrogram = dendrogram, save = True, output_folder = output_folder, outputfilename_suffix = outputfilename_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2620eac2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: saving figure to file ..\\..\\outputs_layer1\\matrixplot_cluster.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1186x660 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ns.pl.matrixplot(adata, markers_dict, cluster_header, dendrogram = dendrogram, save = True, output_folder = output_folder, outputfilename_suffix = outputfilename_prefix)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3db416b9",
   "metadata": {},
   "source": [
    "### Evaluating input marker list"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "487189de",
   "metadata": {},
   "source": [
    "#### Getting marker list in dictionary format: {cluster: marker_list}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "924fe490",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'e1_e299_SLC17A7_L5b_Cdh13': ['SLC17A7', 'CDH13'],\n",
       " 'g1_g48_GLI3_Astro_Gja1': ['GLI3', 'GJA1'],\n",
       " 'g2_g27_APBB1IP_Micro_Ctss': ['APBB1IP', 'CTSS'],\n",
       " 'g3_g18_GPNMB_OPC_Pdgfra': ['GPNMB', 'PDGFRA'],\n",
       " 'g4_g9_MOG_Oligo_Opalin': ['MOG', 'OPALIN'],\n",
       " 'i10_i16_TSPAN12_Vip_Mybpc1': ['TSPAN12', 'VIP', 'MYBPC1'],\n",
       " 'i11_i6_EGF_Vip_Mybpc1': ['EGF', 'VIP', 'MYBPC1'],\n",
       " 'i1_i90_COL5A2_Ndnf_Car4': ['COL5A2', 'NDNF', 'CAR4'],\n",
       " 'i2_i77_LHX6_Sst_Cbln4': ['LHX6', 'SST', 'CBLN4'],\n",
       " 'i3_i56_BAGE2_Ndnf_Cxcl14': ['BAGE2', 'NDNF', 'CXCL14'],\n",
       " 'i4_i54_MC4R_Ndnf_Cxcl14': ['MC4R', 'NDNF', 'CXCL14'],\n",
       " 'i5_i47_TRPC3_Ndnf_Car4': ['TRPC3', 'NDNF', 'CAR4'],\n",
       " 'i6_i44_GPR149_Vip_Mybpc1': ['GPR149', 'VIP', 'MYBPC1'],\n",
       " 'i7_i31_CLMP_Ndnf_Cxcl14': ['CLMP', 'NDNF', 'CXCL14'],\n",
       " 'i8_i27_SNCG_Vip_Mybpc1': ['SNCG', 'VIP', 'MYBPC1'],\n",
       " 'i9_i22_TAC3_Vip_Mybpc1': ['TAC3', 'VIP', 'MYBPC1']}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "markers = pd.read_csv(\"../../demo_data/marker_list.csv\")\n",
    "markers_dict = utils.prepare_markers(markers, \"clusterName\", \"markers\")\n",
    "markers_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "f661f918",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running NS-Forest version 4.1\n",
      "Preparing data...\n",
      "--- 0.005984306335449219 seconds ---\n",
      "Number of clusters to evaluate: 16\n",
      "1 out of 16:\n",
      "\te1_e299_SLC17A7_L5b_Cdh13\n",
      "\tmarker genes to be evaluated: ['SLC17A7', 'CDH13']\n",
      "\t  fbeta: 0.945\n",
      "\t  precision: 0.988\n",
      "\t  recall: 0.806\n",
      "2 out of 16:\n",
      "\tg1_g48_GLI3_Astro_Gja1\n",
      "\tmarker genes to be evaluated: ['GLI3', 'GJA1']\n",
      "\t  fbeta: 0.893\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.625\n",
      "3 out of 16:\n",
      "\tg2_g27_APBB1IP_Micro_Ctss\n",
      "\tmarker genes to be evaluated: ['APBB1IP', 'CTSS']\n",
      "\t  fbeta: 0.385\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.111\n",
      "4 out of 16:\n",
      "\tg3_g18_GPNMB_OPC_Pdgfra\n",
      "\tmarker genes to be evaluated: ['GPNMB', 'PDGFRA']\n",
      "\t  fbeta: 0.929\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.722\n",
      "5 out of 16:\n",
      "\tg4_g9_MOG_Oligo_Opalin\n",
      "\tmarker genes to be evaluated: ['MOG', 'OPALIN']\n",
      "\t  fbeta: 0.909\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.667\n",
      "6 out of 16:\n",
      "\ti10_i16_TSPAN12_Vip_Mybpc1\n",
      "\tmarker genes to be evaluated: ['TSPAN12', 'VIP', 'MYBPC1']\n",
      "\t  fbeta: 0.469\n",
      "\t  precision: 0.75\n",
      "\t  recall: 0.188\n",
      "7 out of 16:\n",
      "\ti11_i6_EGF_Vip_Mybpc1\n",
      "\tmarker genes to be evaluated: ['EGF', 'VIP', 'MYBPC1']\n",
      "\t  fbeta: 0.0\n",
      "\t  precision: 0.0\n",
      "\t  recall: 0.0\n",
      "8 out of 16:\n",
      "\ti1_i90_COL5A2_Ndnf_Car4\n",
      "\tmarker genes to be evaluated: ['COL5A2', 'NDNF', 'CAR4']\n",
      "warning: cannot find CAR4 in adata.var_names, excluding from DecisionTree.\n",
      "\t  fbeta: 0.88\n",
      "\t  precision: 0.94\n",
      "\t  recall: 0.7\n",
      "9 out of 16:\n",
      "\ti2_i77_LHX6_Sst_Cbln4\n",
      "\tmarker genes to be evaluated: ['LHX6', 'SST', 'CBLN4']\n",
      "\t  fbeta: 0.118\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.026\n",
      "10 out of 16:\n",
      "\ti3_i56_BAGE2_Ndnf_Cxcl14\n",
      "\tmarker genes to be evaluated: ['BAGE2', 'NDNF', 'CXCL14']\n",
      "\t  fbeta: 0.565\n",
      "\t  precision: 0.824\n",
      "\t  recall: 0.25\n",
      "11 out of 16:\n",
      "\ti4_i54_MC4R_Ndnf_Cxcl14\n",
      "\tmarker genes to be evaluated: ['MC4R', 'NDNF', 'CXCL14']\n",
      "\t  fbeta: 0.719\n",
      "\t  precision: 0.913\n",
      "\t  recall: 0.389\n",
      "12 out of 16:\n",
      "\ti5_i47_TRPC3_Ndnf_Car4\n",
      "\tmarker genes to be evaluated: ['TRPC3', 'NDNF', 'CAR4']\n",
      "warning: cannot find CAR4 in adata.var_names, excluding from DecisionTree.\n",
      "\t  fbeta: 0.0\n",
      "\t  precision: 0.0\n",
      "\t  recall: 0.0\n",
      "13 out of 16:\n",
      "\ti6_i44_GPR149_Vip_Mybpc1\n",
      "\tmarker genes to be evaluated: ['GPR149', 'VIP', 'MYBPC1']\n",
      "\t  fbeta: 0.188\n",
      "\t  precision: 0.333\n",
      "\t  recall: 0.068\n",
      "14 out of 16:\n",
      "\ti7_i31_CLMP_Ndnf_Cxcl14\n",
      "\tmarker genes to be evaluated: ['CLMP', 'NDNF', 'CXCL14']\n",
      "\t  fbeta: 0.355\n",
      "\t  precision: 0.355\n",
      "\t  recall: 0.355\n",
      "15 out of 16:\n",
      "\ti8_i27_SNCG_Vip_Mybpc1\n",
      "\tmarker genes to be evaluated: ['SNCG', 'VIP', 'MYBPC1']\n",
      "\t  fbeta: 0.0\n",
      "\t  precision: 0.0\n",
      "\t  recall: 0.0\n",
      "16 out of 16:\n",
      "\ti9_i22_TAC3_Vip_Mybpc1\n",
      "\tmarker genes to be evaluated: ['TAC3', 'VIP', 'MYBPC1']\n",
      "\t  fbeta: 0.526\n",
      "\t  precision: 1.0\n",
      "\t  recall: 0.182\n",
      "using median\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating medians (means) per cluster: 100%|██████████| 16/16 [00:00<00:00, 320.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving supplementary table as...\n",
      "../../outputs_layer1/marker_eval_markers_onTarget_supp.csv\n",
      "Saving supplementary table as...\n",
      "../../outputs_layer1/marker_eval_markers_onTarget.csv\n",
      "Saving final results table as...\n",
      "../../outputs_layer1/marker_eval_results.csv\n",
      "Saving final results table as...\n",
      "../../outputs_layer1/marker_eval_results.pkl\n",
      "--- 0.7569146156311035 seconds ---\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "outputfilename_prefix = \"marker_eval\"\n",
    "evaluation_results = ns.ev.DecisionTree(adata, cluster_header, markers_dict, combinations = False, use_mean = False, \n",
    "                                        save = True, save_supplementary = True, \n",
    "                                        output_folder = output_folder, outputfilename_prefix = outputfilename_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "30c01b33",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>software_version</th>\n",
       "      <th>cluster_header</th>\n",
       "      <th>clusterName</th>\n",
       "      <th>clusterSize</th>\n",
       "      <th>f_score</th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>TN</th>\n",
       "      <th>FP</th>\n",
       "      <th>FN</th>\n",
       "      <th>TP</th>\n",
       "      <th>marker_count</th>\n",
       "      <th>markers</th>\n",
       "      <th>onTarget</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>e1_e299_SLC17A7_L5b_Cdh13</td>\n",
       "      <td>299</td>\n",
       "      <td>0.945098</td>\n",
       "      <td>0.987705</td>\n",
       "      <td>0.806020</td>\n",
       "      <td>569</td>\n",
       "      <td>3</td>\n",
       "      <td>58</td>\n",
       "      <td>241</td>\n",
       "      <td>2</td>\n",
       "      <td>[SLC17A7, CDH13]</td>\n",
       "      <td>0.548527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>g1_g48_GLI3_Astro_Gja1</td>\n",
       "      <td>48</td>\n",
       "      <td>0.892857</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>823</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>[GLI3, GJA1]</td>\n",
       "      <td>0.854088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>g2_g27_APBB1IP_Micro_Ctss</td>\n",
       "      <td>27</td>\n",
       "      <td>0.384615</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>844</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>[APBB1IP, CTSS]</td>\n",
       "      <td>0.955321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>g3_g18_GPNMB_OPC_Pdgfra</td>\n",
       "      <td>18</td>\n",
       "      <td>0.928571</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.722222</td>\n",
       "      <td>853</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>[GPNMB, PDGFRA]</td>\n",
       "      <td>0.680299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>g4_g9_MOG_Oligo_Opalin</td>\n",
       "      <td>9</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>862</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>[MOG, OPALIN]</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i10_i16_TSPAN12_Vip_Mybpc1</td>\n",
       "      <td>16</td>\n",
       "      <td>0.468750</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>854</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>[TSPAN12, VIP, MYBPC1]</td>\n",
       "      <td>0.209097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i11_i6_EGF_Vip_Mybpc1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>865</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>[EGF, VIP, MYBPC1]</td>\n",
       "      <td>0.112842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i1_i90_COL5A2_Ndnf_Car4</td>\n",
       "      <td>90</td>\n",
       "      <td>0.879888</td>\n",
       "      <td>0.940299</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>777</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>63</td>\n",
       "      <td>2</td>\n",
       "      <td>[COL5A2, NDNF]</td>\n",
       "      <td>0.608344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i2_i77_LHX6_Sst_Cbln4</td>\n",
       "      <td>77</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.025974</td>\n",
       "      <td>794</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>[LHX6, SST, CBLN4]</td>\n",
       "      <td>0.420224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i3_i56_BAGE2_Ndnf_Cxcl14</td>\n",
       "      <td>56</td>\n",
       "      <td>0.564516</td>\n",
       "      <td>0.823529</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>812</td>\n",
       "      <td>3</td>\n",
       "      <td>42</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>[BAGE2, NDNF, CXCL14]</td>\n",
       "      <td>0.103398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i4_i54_MC4R_Ndnf_Cxcl14</td>\n",
       "      <td>54</td>\n",
       "      <td>0.719178</td>\n",
       "      <td>0.913043</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>815</td>\n",
       "      <td>2</td>\n",
       "      <td>33</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>[MC4R, NDNF, CXCL14]</td>\n",
       "      <td>0.351766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i5_i47_TRPC3_Ndnf_Car4</td>\n",
       "      <td>47</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>803</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[TRPC3, NDNF]</td>\n",
       "      <td>0.292197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i6_i44_GPR149_Vip_Mybpc1</td>\n",
       "      <td>44</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.068182</td>\n",
       "      <td>821</td>\n",
       "      <td>6</td>\n",
       "      <td>41</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>[GPR149, VIP, MYBPC1]</td>\n",
       "      <td>0.235686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i7_i31_CLMP_Ndnf_Cxcl14</td>\n",
       "      <td>31</td>\n",
       "      <td>0.354839</td>\n",
       "      <td>0.354839</td>\n",
       "      <td>0.354839</td>\n",
       "      <td>820</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>[CLMP, NDNF, CXCL14]</td>\n",
       "      <td>0.180560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i8_i27_SNCG_Vip_Mybpc1</td>\n",
       "      <td>27</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>844</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>[SNCG, VIP, MYBPC1]</td>\n",
       "      <td>0.153438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i9_i22_TAC3_Vip_Mybpc1</td>\n",
       "      <td>22</td>\n",
       "      <td>0.526316</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>849</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>[TAC3, VIP, MYBPC1]</td>\n",
       "      <td>0.288938</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   software_version cluster_header                 clusterName  clusterSize  \\\n",
       "0               4.1        cluster   e1_e299_SLC17A7_L5b_Cdh13          299   \n",
       "1               4.1        cluster      g1_g48_GLI3_Astro_Gja1           48   \n",
       "2               4.1        cluster   g2_g27_APBB1IP_Micro_Ctss           27   \n",
       "3               4.1        cluster     g3_g18_GPNMB_OPC_Pdgfra           18   \n",
       "4               4.1        cluster      g4_g9_MOG_Oligo_Opalin            9   \n",
       "5               4.1        cluster  i10_i16_TSPAN12_Vip_Mybpc1           16   \n",
       "6               4.1        cluster       i11_i6_EGF_Vip_Mybpc1            6   \n",
       "7               4.1        cluster     i1_i90_COL5A2_Ndnf_Car4           90   \n",
       "8               4.1        cluster       i2_i77_LHX6_Sst_Cbln4           77   \n",
       "9               4.1        cluster    i3_i56_BAGE2_Ndnf_Cxcl14           56   \n",
       "10              4.1        cluster     i4_i54_MC4R_Ndnf_Cxcl14           54   \n",
       "11              4.1        cluster      i5_i47_TRPC3_Ndnf_Car4           47   \n",
       "12              4.1        cluster    i6_i44_GPR149_Vip_Mybpc1           44   \n",
       "13              4.1        cluster     i7_i31_CLMP_Ndnf_Cxcl14           31   \n",
       "14              4.1        cluster      i8_i27_SNCG_Vip_Mybpc1           27   \n",
       "15              4.1        cluster      i9_i22_TAC3_Vip_Mybpc1           22   \n",
       "\n",
       "     f_score  precision    recall   TN  FP  FN   TP  marker_count  \\\n",
       "0   0.945098   0.987705  0.806020  569   3  58  241             2   \n",
       "1   0.892857   1.000000  0.625000  823   0  18   30             2   \n",
       "2   0.384615   1.000000  0.111111  844   0  24    3             2   \n",
       "3   0.928571   1.000000  0.722222  853   0   5   13             2   \n",
       "4   0.909091   1.000000  0.666667  862   0   3    6             2   \n",
       "5   0.468750   0.750000  0.187500  854   1  13    3             3   \n",
       "6   0.000000   0.000000  0.000000  865   0   6    0             3   \n",
       "7   0.879888   0.940299  0.700000  777   4  27   63             2   \n",
       "8   0.117647   1.000000  0.025974  794   0  75    2             3   \n",
       "9   0.564516   0.823529  0.250000  812   3  42   14             3   \n",
       "10  0.719178   0.913043  0.388889  815   2  33   21             3   \n",
       "11  0.000000   0.000000  0.000000  803  21  47    0             2   \n",
       "12  0.187500   0.333333  0.068182  821   6  41    3             3   \n",
       "13  0.354839   0.354839  0.354839  820  20  20   11             3   \n",
       "14  0.000000   0.000000  0.000000  844   0  27    0             3   \n",
       "15  0.526316   1.000000  0.181818  849   0  18    4             3   \n",
       "\n",
       "                   markers  onTarget  \n",
       "0         [SLC17A7, CDH13]  0.548527  \n",
       "1             [GLI3, GJA1]  0.854088  \n",
       "2          [APBB1IP, CTSS]  0.955321  \n",
       "3          [GPNMB, PDGFRA]  0.680299  \n",
       "4            [MOG, OPALIN]  1.000000  \n",
       "5   [TSPAN12, VIP, MYBPC1]  0.209097  \n",
       "6       [EGF, VIP, MYBPC1]  0.112842  \n",
       "7           [COL5A2, NDNF]  0.608344  \n",
       "8       [LHX6, SST, CBLN4]  0.420224  \n",
       "9    [BAGE2, NDNF, CXCL14]  0.103398  \n",
       "10    [MC4R, NDNF, CXCL14]  0.351766  \n",
       "11           [TRPC3, NDNF]  0.292197  \n",
       "12   [GPR149, VIP, MYBPC1]  0.235686  \n",
       "13    [CLMP, NDNF, CXCL14]  0.180560  \n",
       "14     [SNCG, VIP, MYBPC1]  0.153438  \n",
       "15     [TAC3, VIP, MYBPC1]  0.288938  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evaluation_results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81f7cbe3",
   "metadata": {},
   "source": [
    "#### Plotting classification metrics from marker evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "7644a588",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving...\n",
      " ../../outputs_layer1/marker_eval_boxplot_f_score.html\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "boxpoints": "all",
         "hovertemplate": "<b>%{hovertext}</b><br><br>f_score=%{y}<extra></extra>",
         "hovertext": [
          "e1_e299_SLC17A7_L5b_Cdh13",
          "g1_g48_GLI3_Astro_Gja1",
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          "g3_g18_GPNMB_OPC_Pdgfra",
          "g4_g9_MOG_Oligo_Opalin",
          "i10_i16_TSPAN12_Vip_Mybpc1",
          "i11_i6_EGF_Vip_Mybpc1",
          "i1_i90_COL5A2_Ndnf_Car4",
          "i2_i77_LHX6_Sst_Cbln4",
          "i3_i56_BAGE2_Ndnf_Cxcl14",
          "i4_i54_MC4R_Ndnf_Cxcl14",
          "i5_i47_TRPC3_Ndnf_Car4",
          "i6_i44_GPR149_Vip_Mybpc1",
          "i7_i31_CLMP_Ndnf_Cxcl14",
          "i8_i27_SNCG_Vip_Mybpc1",
          "i9_i22_TAC3_Vip_Mybpc1"
         ],
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
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    "### Plotting scanpy dot plot, violin plot, matrix plot for input marker list\n",
    "\n",
    "**Note:** Assign pre-defined dendrogram order here **or** use `adata.uns[\"dendrogram_\" + cluster_header][\"categories_ordered\"]`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4709bdd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "to_plot = evaluation_results.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "fbb20c5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>software_version</th>\n",
       "      <th>cluster_header</th>\n",
       "      <th>clusterName</th>\n",
       "      <th>clusterSize</th>\n",
       "      <th>f_score</th>\n",
       "      <th>precision</th>\n",
       "      <th>recall</th>\n",
       "      <th>TN</th>\n",
       "      <th>FP</th>\n",
       "      <th>FN</th>\n",
       "      <th>TP</th>\n",
       "      <th>marker_count</th>\n",
       "      <th>markers</th>\n",
       "      <th>onTarget</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>e1_e299_SLC17A7_L5b_Cdh13</td>\n",
       "      <td>299</td>\n",
       "      <td>0.945098</td>\n",
       "      <td>0.987705</td>\n",
       "      <td>0.806020</td>\n",
       "      <td>569</td>\n",
       "      <td>3</td>\n",
       "      <td>58</td>\n",
       "      <td>241</td>\n",
       "      <td>2</td>\n",
       "      <td>[SLC17A7, CDH13]</td>\n",
       "      <td>0.548527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i7_i31_CLMP_Ndnf_Cxcl14</td>\n",
       "      <td>31</td>\n",
       "      <td>0.354839</td>\n",
       "      <td>0.354839</td>\n",
       "      <td>0.354839</td>\n",
       "      <td>820</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>[CLMP, NDNF, CXCL14]</td>\n",
       "      <td>0.180560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i1_i90_COL5A2_Ndnf_Car4</td>\n",
       "      <td>90</td>\n",
       "      <td>0.879888</td>\n",
       "      <td>0.940299</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>777</td>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>63</td>\n",
       "      <td>2</td>\n",
       "      <td>[COL5A2, NDNF]</td>\n",
       "      <td>0.608344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i5_i47_TRPC3_Ndnf_Car4</td>\n",
       "      <td>47</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>803</td>\n",
       "      <td>21</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>[TRPC3, NDNF]</td>\n",
       "      <td>0.292197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.1</td>\n",
       "      <td>cluster</td>\n",
       "      <td>i10_i16_TSPAN12_Vip_Mybpc1</td>\n",
       "      <td>16</td>\n",
       "      <td>0.468750</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>854</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>[TSPAN12, VIP, MYBPC1]</td>\n",
       "      <td>0.209097</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  software_version cluster_header                 clusterName  clusterSize  \\\n",
       "0              4.1        cluster   e1_e299_SLC17A7_L5b_Cdh13          299   \n",
       "1              4.1        cluster     i7_i31_CLMP_Ndnf_Cxcl14           31   \n",
       "2              4.1        cluster     i1_i90_COL5A2_Ndnf_Car4           90   \n",
       "3              4.1        cluster      i5_i47_TRPC3_Ndnf_Car4           47   \n",
       "4              4.1        cluster  i10_i16_TSPAN12_Vip_Mybpc1           16   \n",
       "\n",
       "    f_score  precision    recall   TN  FP  FN   TP  marker_count  \\\n",
       "0  0.945098   0.987705  0.806020  569   3  58  241             2   \n",
       "1  0.354839   0.354839  0.354839  820  20  20   11             3   \n",
       "2  0.879888   0.940299  0.700000  777   4  27   63             2   \n",
       "3  0.000000   0.000000  0.000000  803  21  47    0             2   \n",
       "4  0.468750   0.750000  0.187500  854   1  13    3             3   \n",
       "\n",
       "                  markers  onTarget  \n",
       "0        [SLC17A7, CDH13]  0.548527  \n",
       "1    [CLMP, NDNF, CXCL14]  0.180560  \n",
       "2          [COL5A2, NDNF]  0.608344  \n",
       "3           [TRPC3, NDNF]  0.292197  \n",
       "4  [TSPAN12, VIP, MYBPC1]  0.209097  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dendrogram = [] # custom dendrogram order\n",
    "dendrogram = list(adata.uns[\"dendrogram_\" + cluster_header][\"categories_ordered\"])\n",
    "to_plot[\"clusterName\"] = to_plot[\"clusterName\"].astype(\"category\")\n",
    "to_plot[\"clusterName\"] = to_plot[\"clusterName\"].cat.set_categories(dendrogram)\n",
    "to_plot = to_plot.sort_values(\"clusterName\").reset_index(drop = True)\n",
    "to_plot = to_plot.rename(columns = {\"NSForest_markers\": \"markers\"})\n",
    "to_plot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "faa7b9f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'e1_e299_SLC17A7_L5b_Cdh13': ['SLC17A7', 'CDH13'],\n",
       " 'i7_i31_CLMP_Ndnf_Cxcl14': ['CLMP', 'NDNF', 'CXCL14'],\n",
       " 'i1_i90_COL5A2_Ndnf_Car4': ['COL5A2', 'NDNF'],\n",
       " 'i5_i47_TRPC3_Ndnf_Car4': ['TRPC3', 'NDNF'],\n",
       " 'i10_i16_TSPAN12_Vip_Mybpc1': ['TSPAN12', 'VIP', 'MYBPC1'],\n",
       " 'i4_i54_MC4R_Ndnf_Cxcl14': ['MC4R', 'NDNF', 'CXCL14'],\n",
       " 'i9_i22_TAC3_Vip_Mybpc1': ['TAC3', 'VIP', 'MYBPC1'],\n",
       " 'i6_i44_GPR149_Vip_Mybpc1': ['GPR149', 'VIP', 'MYBPC1'],\n",
       " 'i8_i27_SNCG_Vip_Mybpc1': ['SNCG', 'VIP', 'MYBPC1'],\n",
       " 'g1_g48_GLI3_Astro_Gja1': ['GLI3', 'GJA1'],\n",
       " 'g3_g18_GPNMB_OPC_Pdgfra': ['GPNMB', 'PDGFRA'],\n",
       " 'g2_g27_APBB1IP_Micro_Ctss': ['APBB1IP', 'CTSS'],\n",
       " 'g4_g9_MOG_Oligo_Opalin': ['MOG', 'OPALIN'],\n",
       " 'i2_i77_LHX6_Sst_Cbln4': ['LHX6', 'SST', 'CBLN4'],\n",
       " 'i11_i6_EGF_Vip_Mybpc1': ['EGF', 'VIP', 'MYBPC1'],\n",
       " 'i3_i56_BAGE2_Ndnf_Cxcl14': ['BAGE2', 'NDNF', 'CXCL14']}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "markers_dict = dict(zip(to_plot[\"clusterName\"], to_plot[\"markers\"]))\n",
    "markers_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "a36fefe9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: saving figure to file ..\\..\\outputs_layer1\\dotplot_marker_eval.png\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\bpeng\\AppData\\Local\\anaconda3\\Lib\\site-packages\\scanpy\\plotting\\_dotplot.py:747: UserWarning:\n",
      "\n",
      "No data for colormapping provided via 'c'. Parameters 'cmap', 'norm' will be ignored\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1667x660 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ns.pl.dotplot(adata, markers_dict, cluster_header, dendrogram = dendrogram, save = True, output_folder = output_folder, outputfilename_suffix = outputfilename_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a2654253",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: saving figure to file ..\\..\\outputs_layer1\\stacked_violin_marker_eval.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1667x660 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ns.pl.stackedviolin(adata, markers_dict, cluster_header, dendrogram = dendrogram, save = True, output_folder = output_folder, outputfilename_suffix = outputfilename_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "07b009c3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: saving figure to file ..\\..\\outputs_layer1\\matrixplot_marker_eval.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1667x660 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ns.pl.matrixplot(adata, markers_dict, cluster_header, dendrogram = dendrogram, save = True, output_folder = output_folder, outputfilename_suffix = outputfilename_prefix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "9f8dbc74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 871 × 16497\n",
       "    obs: 'cluster'\n",
       "    uns: 'dendrogram_cluster'\n",
       "    obsm: 'X_pca'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "5b884ab1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 871 × 11688\n",
       "    obs: 'cluster'\n",
       "    uns: 'dendrogram_cluster'\n",
       "    obsm: 'X_pca'\n",
       "    varm: 'medians_cluster', 'binary_scores_cluster'"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata_subset"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
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