bump notebooks

2 files changed, 2944 insertions, 38020 deletions

diff --git a/notebooks/cc/paper2_plots.ipynb b/notebooks/cc/paper2_plots.ipynb
new file mode 100644
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+++ b/notebooks/cc/paper2_plots.ipynb
@@ -0,0 +1,370 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "from pathlib import Path\n",
+    "\n",
+    "import matplotlib\n",
+    "import matplotlib.dates as mdates\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "from notebooks.fixed_sankey_plot import sankey\n",
+    "from sklearn import metrics\n",
+    "\n",
+    "# Surpress user warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
+    "\n",
+    "%matplotlib inline\n",
+    "\n",
+    "# LaTeX plotting\n",
+    "# matplotlib.use(\"pgf\")\n",
+    "# plt.rcParams[\"pgf.texsystem\"] = \"pdflatex\"\n",
+    "# plt.rcParams[\"font.family\"] = \"serif\"\n",
+    "# plt.rcParams[\"text.usetex\"] = True\n",
+    "# plt.rcParams[\"pgf.rcfonts\"] = False\n",
+    "\n",
+    "\n",
+    "sns.set_theme(style=\"white\")\n",
+    "plt.rcParams[\"axes.linewidth\"] = 0.5\n",
+    "plt.rcParams[\"legend.fontsize\"] = 6.5\n",
+    "plt.rcParams[\"xtick.labelsize\"] = 8\n",
+    "plt.rcParams[\"ytick.labelsize\"] = 8\n",
+    "plt.rcParams[\"ytick.left\"] = True\n",
+    "plt.rcParams[\"ytick.major.size\"] = 5\n",
+    "plt.rcParams[\"ytick.major.width\"] = 0.5\n",
+    "plt.rcParams[\"ytick.major.pad\"] = 0\n",
+    "plt.rcParams[\"xtick.bottom\"] = True\n",
+    "plt.rcParams[\"xtick.major.size\"] = 5\n",
+    "plt.rcParams[\"xtick.major.width\"] = 0.5\n",
+    "plt.rcParams[\"xtick.major.pad\"] = 0\n",
+    "\n",
+    "plt.rcParams[\"axes.titlesize\"] = 8\n",
+    "plt.rcParams[\"legend.handletextpad\"] = 0.3\n",
+    "plt.rcParams[\"lines.markersize\"] = 0.5\n",
+    "plt.rcParams[\"savefig.pad_inches\"] = 0.01\n",
+    "sns.set_palette(\"deep\")\n",
+    "\n",
+    "plt.style.use(\"default\")\n",
+    "sns.set_palette(\"deep\")\n",
+    "sns.set_context(\"paper\")  # Set to \"paper\" for use in paper :)\n",
+    "\n",
+    "# plt.rcParams['figure.figsize'] = (10, 6)\n",
+    "\n",
+    "REPO_ROOT = Path().resolve()\n",
+    "RESULTS_DIR = Path(\"./results/references\")\n",
+    "RESULTS_DIR.mkdir(exist_ok=True, parents=True)\n",
+    "\n",
+    "DATASET_PATH = REPO_ROOT / \"dataset/cc_november_23/dataset.json\"\n",
+    "PREDICTIONS_PATH = REPO_ROOT / \"dataset/reference_prediction/predictions.csv\"\n",
+    "\n",
+    "SMARTCARD_CATEGORY = \"ICs, Smart Cards and Smart Card-Related Devices and Systems\"\n",
+    "CARD_RELATED_CAT = {\"Other Devices and Systems\", \"Products for Digital Signatures\", \"Trusted Computing\"}\n",
+    "OTHERS_CAR = {\n",
+    "    \"Access Control Devices and Systems\",\n",
+    "    \"Biometric Systems and Devices\",\n",
+    "    \"Boundary Protection Devices and Systems\",\n",
+    "    \"Data Protection\",\n",
+    "    \"Databases\",\n",
+    "    \"Detection Devices and Systems\",\n",
+    "    \"Key Management Systems\",\n",
+    "    \"Mobility\",\n",
+    "    \"Multi-Function Devices\",\n",
+    "    \"Network and Network-Related Devices and Systems\",\n",
+    "    \"Operating Systems\",\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Top-reach certificates in time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 390x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.rcParams[\"legend.fontsize\"] = 9\n",
+    "plt.rcParams[\"xtick.labelsize\"] = 12\n",
+    "plt.rcParams[\"ytick.labelsize\"] = 12\n",
+    "\n",
+    "df_to_plot = pd.read_csv(RESULTS_DIR / \"average_reach_over_time.csv\", parse_dates=[\"date\"])\n",
+    "\n",
+    "plt.figure()\n",
+    "g = sns.lineplot(data=df_to_plot, x=\"date\", y=\"reach\", hue=\"certificate\", errorbar=None)\n",
+    "\n",
+    "plt.legend(frameon=False, handlelength=2)\n",
+    "g.set_xlabel(\"\")\n",
+    "g.set_ylabel(\"Certificate reach\", fontsize=12)\n",
+    "\n",
+    "\n",
+    "dtFmt = mdates.DateFormatter(\"%Y\")  # define the formatting\n",
+    "g.xaxis.set_major_formatter(dtFmt)\n",
+    "g.set_xticks(\n",
+    "    [\n",
+    "        pd.to_datetime(\"1998-01-01\"),\n",
+    "        pd.to_datetime(\"2003-01-01\"),\n",
+    "        pd.to_datetime(\"2008-01-01\"),\n",
+    "        pd.to_datetime(\"2013-01-01\"),\n",
+    "        pd.to_datetime(\"2018-01-01\"),\n",
+    "        pd.to_datetime(\"2023-01-01\"),\n",
+    "    ]\n",
+    ")\n",
+    "g.figure.set_size_inches(3.9, 3)\n",
+    "plt.tight_layout(pad=0.1)\n",
+    "g.figure.savefig(RESULTS_DIR / \"lineplot_top_reach.pdf\")\n",
+    "g.figure.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Average number of transitive references over time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 390x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.rcParams[\"legend.fontsize\"] = 9\n",
+    "plt.rcParams[\"xtick.labelsize\"] = 12\n",
+    "plt.rcParams[\"ytick.labelsize\"] = 12\n",
+    "\n",
+    "df_to_plot = pd.read_csv(RESULTS_DIR / \"avg_refs_over_time.csv\", parse_dates=[\"date\"])\n",
+    "plt.figure()\n",
+    "g = sns.lineplot(data=df_to_plot, x=\"date\", y=\"n_references\", hue=\"category\", errorbar=None)\n",
+    "\n",
+    "plt.legend(frameon=False, handlelength=2)\n",
+    "g.set_xlabel(\"\")\n",
+    "g.set_ylabel(\"Avg. n. of transitive refs.\", fontsize=12)\n",
+    "\n",
+    "dtFmt = mdates.DateFormatter(\"%Y\")  # define the formatting\n",
+    "g.xaxis.set_major_formatter(dtFmt)\n",
+    "g.set_xticks(\n",
+    "    [\n",
+    "        pd.to_datetime(\"1998-01-01\"),\n",
+    "        pd.to_datetime(\"2003-01-01\"),\n",
+    "        pd.to_datetime(\"2008-01-01\"),\n",
+    "        pd.to_datetime(\"2013-01-01\"),\n",
+    "        pd.to_datetime(\"2018-01-01\"),\n",
+    "        pd.to_datetime(\"2023-01-01\"),\n",
+    "    ]\n",
+    ")\n",
+    "g.figure.set_size_inches(3.9, 3)\n",
+    "plt.tight_layout(pad=0.1)\n",
+    "g.figure.savefig(\n",
+    "    RESULTS_DIR / \"lineplot_avg_refs.pdf\",\n",
+    ")\n",
+    "g.figure.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Average reach over time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 390x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.rcParams[\"legend.fontsize\"] = 9\n",
+    "plt.rcParams[\"xtick.labelsize\"] = 12\n",
+    "plt.rcParams[\"ytick.labelsize\"] = 12\n",
+    "\n",
+    "df_to_plot = pd.read_csv(RESULTS_DIR / \"avg_reach_over_time.csv\", parse_dates=[\"date\"])\n",
+    "plt.figure()\n",
+    "g = sns.lineplot(data=df_to_plot, x=\"date\", y=\"n_references\", hue=\"category\", errorbar=None)\n",
+    "\n",
+    "plt.legend(frameon=False, handlelength=2)\n",
+    "g.set_xlabel(\"\")\n",
+    "g.set_ylabel(\"Avg. reach\", fontsize=12)\n",
+    "\n",
+    "dtFmt = mdates.DateFormatter(\"%Y\")  # define the formatting\n",
+    "g.xaxis.set_major_formatter(dtFmt)\n",
+    "g.set_xticks(\n",
+    "    [\n",
+    "        pd.to_datetime(\"1998-01-01\"),\n",
+    "        pd.to_datetime(\"2003-01-01\"),\n",
+    "        pd.to_datetime(\"2008-01-01\"),\n",
+    "        pd.to_datetime(\"2013-01-01\"),\n",
+    "        pd.to_datetime(\"2018-01-01\"),\n",
+    "        pd.to_datetime(\"2023-01-01\"),\n",
+    "    ]\n",
+    ")\n",
+    "g.figure.set_size_inches(3.9, 3)\n",
+    "plt.tight_layout(pad=0.1)\n",
+    "g.figure.savefig(RESULTS_DIR / \"lineplot_avg_reach.pdf\")\n",
+    "g.figure.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Area under curve"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 300x200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(3, 2))\n",
+    "\n",
+    "colors = plt.cm.Dark2(np.linspace(0, 1, 8))\n",
+    "\n",
+    "df_sent = pd.read_csv(RESULTS_DIR / \"df_pred_sentence_transformers.csv\")\n",
+    "df_tf_idf = pd.read_csv(RESULTS_DIR / \"df_pred_tf_idf.csv\")\n",
+    "df_baseline = pd.read_csv(RESULTS_DIR / \"df_pred_baseline.csv\")\n",
+    "\n",
+    "fpr, tpr, thresholds = metrics.roc_curve(df_sent.y_true, df_sent.y_pred)\n",
+    "auc = metrics.roc_auc_score(df_sent.y_true, df_sent.y_pred)\n",
+    "plt.plot(fpr, tpr, label=f\"Sent. trans. (AUC={auc:.2f})\", color=colors[0])\n",
+    "\n",
+    "fpr, tpr, thresholds = metrics.roc_curve(df_tf_idf.y_true, df_tf_idf.y_pred)\n",
+    "auc = metrics.roc_auc_score(df_tf_idf.y_true, df_tf_idf.y_pred)\n",
+    "plt.plot(fpr, tpr, label=f\"TF-IDF (AUC={auc:.2f})\", color=colors[1])\n",
+    "\n",
+    "fpr, tpr, thresholds = metrics.roc_curve(df_baseline.y_true, df_baseline.y_pred)\n",
+    "auc = metrics.roc_auc_score(df_baseline.y_true, df_baseline.y_pred)\n",
+    "plt.plot(fpr, tpr, label=f\"Baseline (AUC={auc:.2f})\", color=colors[2])\n",
+    "\n",
+    "plt.legend(loc=\"lower right\")\n",
+    "plt.tight_layout(pad=0.1)\n",
+    "plt.savefig(RESULTS_DIR / \"roc_auc.pdf\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Stack-bar plot of annotations in categories"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(RESULTS_DIR / \"ref_categories_stackplot.csv\")\n",
+    "ax = df.plot.barh(stacked=True, figsize=(4, 3), rot=0, width=0.95)\n",
+    "ax.set_ylim(-0.6, 2.6)\n",
+    "ax.set_xlabel(\"# references\")\n",
+    "ax.set_yticklabels([\"Others\", \"Card rel.\", \"Cards\"])\n",
+    "ax.legend(title=\"Reference context\", loc=\"lower right\")\n",
+    "\n",
+    "plt.text(0.4, 0.8, df.iloc[2][\"Component reuse\"], transform=ax.transAxes, color=\"white\", fontsize=10)\n",
+    "plt.text(0.83, 0.8, df.iloc[2][\"Predecessor\"], transform=ax.transAxes, color=\"white\", fontsize=10)\n",
+    "\n",
+    "plt.axhline(y=1.21, xmin=0.05, xmax=0.18, color=\"black\", linewidth=0.75)\n",
+    "plt.axhline(y=0.9, xmin=0.12, xmax=0.18, color=\"black\", linewidth=0.75)\n",
+    "plt.text(0.2, 0.55, df.iloc[1][\"Component reuse\"], transform=ax.transAxes, color=\"blue\", fontsize=10)\n",
+    "plt.text(0.2, 0.45, df.iloc[1][\"Predecessor\"], transform=ax.transAxes, color=\"orange\", fontsize=10)\n",
+    "\n",
+    "plt.axhline(y=0.17, xmin=0.02, xmax=0.1, color=\"black\", linewidth=0.75)\n",
+    "plt.axhline(y=-0.1, xmin=0.05, xmax=0.1, color=\"black\", linewidth=0.75)\n",
+    "plt.text(0.12, 0.22, df.iloc[0][\"Component reuse\"], transform=ax.transAxes, color=\"blue\", fontsize=10)\n",
+    "plt.text(0.12, 0.13, df.iloc[0][\"Predecessor\"], transform=ax.transAxes, color=\"orange\", fontsize=10)\n",
+    "\n",
+    "plt.tight_layout(pad=0.1)\n",
+    "plt.savefig(RESULTS_DIR / \"stacked_barplot.pdf\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/cc/references.ipynb b/notebooks/cc/references.ipynb
index c62f84e9..a6a23e24 100644
--- a/notebooks/cc/references.ipynb
+++ b/notebooks/cc/references.ipynb
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 16,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -29,7 +29,9 @@
     "import json\n",
     "import warnings\n",
     "from collections.abc import Iterable\n",
+    "from datetime import datetime\n",
     "from pathlib import Path\n",
+    "from typing import Literal\n",
     "\n",
     "import matplotlib\n",
     "import matplotlib.pyplot as plt\n",
@@ -76,22 +78,38 @@
     "\n",
     "plt.rcParams[\"axes.titlesize\"] = 8\n",
     "plt.rcParams[\"legend.handletextpad\"] = 0.3\n",
-    "plt.rcParams[\"lines.markersize\"] = 4\n",
+    "plt.rcParams[\"lines.markersize\"] = 0.5\n",
     "plt.rcParams[\"savefig.pad_inches\"] = 0.01\n",
     "sns.set_palette(\"deep\")\n",
     "\n",
     "plt.style.use(\"default\")\n",
     "sns.set_palette(\"deep\")\n",
-    "sns.set_context(\"notebook\")  # Set to \"paper\" for use in paper :)\n",
+    "sns.set_context(\"paper\")  # Set to \"paper\" for use in paper :)\n",
     "\n",
     "# plt.rcParams['figure.figsize'] = (10, 6)\n",
     "\n",
     "REPO_ROOT = Path().resolve()\n",
     "RESULTS_DIR = Path(\"./results/references\")\n",
     "RESULTS_DIR.mkdir(exist_ok=True, parents=True)\n",
-    "SMARTCARD_CATEGORY = \"ICs, Smart Cards and Smart Card-Related Devices and Systems\"\n",
+    "\n",
     "DATASET_PATH = REPO_ROOT / \"dataset/cc_november_23/dataset.json\"\n",
-    "PREDICTIONS_PATH = REPO_ROOT / \"dataset/reference_prediction/predictions.csv\""
+    "PREDICTIONS_PATH = REPO_ROOT / \"dataset/reference_prediction/predictions.csv\"\n",
+    "\n",
+    "SMARTCARD_CATEGORY = \"ICs, Smart Cards and Smart Card-Related Devices and Systems\"\n",
+    "CARD_RELATED_CAT = {\"Other Devices and Systems\", \"Products for Digital Signatures\", \"Trusted Computing\"}\n",
+    "OTHERS_CAT = {\n",
+    "    \"Access Control Devices and Systems\",\n",
+    "    \"Biometric Systems and Devices\",\n",
+    "    \"Boundary Protection Devices and Systems\",\n",
+    "    \"Data Protection\",\n",
+    "    \"Databases\",\n",
+    "    \"Detection Devices and Systems\",\n",
+    "    \"Key Management Systems\",\n",
+    "    \"Mobility\",\n",
+    "    \"Multi-Function Devices\",\n",
+    "    \"Network and Network-Related Devices and Systems\",\n",
+    "    \"Operating Systems\",\n",
+    "}"
    ]
   },
   {
@@ -103,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,6 +151,10 @@
     "    \"\"\"\n",
     "    Pre-processing run on the CC dataset for the sake of this notebook.\n",
     "    \"\"\"\n",
+    "\n",
+    "    def choose_archival_date(not_valid_before):\n",
+    "        return max(datetime(2019, 6, 1), not_valid_before + pd.Timedelta(days=(5 * 365) + 2))\n",
+    "\n",
     "    return (\n",
     "        cc_df.loc[cc_df.cert_id.notnull()]\n",
     "        .copy()\n",
@@ -144,11 +166,19 @@
     "                \"indirectly_referenced_by\": \"in_trans_refs\",\n",
     "            }\n",
     "        )\n",
+    "        # Old date computation\n",
+    "        # .assign(\n",
+    "        #     longer_than_5_years=lambda df_: df_.not_valid_after - df_.not_valid_before\n",
+    "        #     > pd.Timedelta(days=(5 * 365) + 2),\n",
+    "        #     not_valid_after=lambda df_: df_.not_valid_after.where(\n",
+    "        #         ~df_.longer_than_5_years, df_.not_valid_before + pd.Timedelta(days=(5 * 365) + 2)\n",
+    "        #     ),\n",
+    "        # )\n",
     "        .assign(\n",
     "            longer_than_5_years=lambda df_: df_.not_valid_after - df_.not_valid_before\n",
     "            > pd.Timedelta(days=(5 * 365) + 2),\n",
     "            not_valid_after=lambda df_: df_.not_valid_after.where(\n",
-    "                ~df_.longer_than_5_years, df_.not_valid_before + pd.Timedelta(days=(5 * 365) + 2)\n",
+    "                ~df_.longer_than_5_years, df_.not_valid_before.apply(choose_archival_date)\n",
     "            ),\n",
     "        )\n",
     "        .drop_duplicates(subset=[\"cert_id\"], keep=\"first\")  # TODO: Investigate high number of duplicates and resolve\n",
@@ -241,7 +271,7 @@
     "    node_text = []\n",
     "    node_name_mapping = dict(enumerate(G.nodes()))\n",
     "    cert_id_to_dgst = {x.heuristics.cert_id: x.dgst for x in cc_dset}\n",
-    "    for node, adjacencies in enumerate(G.adjacency()):\n",
+    "    for node, adjacencies in enumerate(nx.reverse_view(G).adjacency()):\n",
     "        node_adjacencies.append(len(adjacencies[1]))\n",
     "        node_text.append(\n",
     "            f\"{node_name_mapping[node]} ({cert_id_to_dgst[node_name_mapping[node]]}) (# conns: {len(adjacencies[1])})\"\n",
@@ -254,7 +284,7 @@
     "\n",
     "\n",
     "def plotly_draw(graph: nx.DiGraph, cc_dset: CCDataset):\n",
-    "    plt.figure(figsize=(12, 12))\n",
+    "    plt.figure(figsize=(7, 7))\n",
     "    node_trace, edge_trace = get_plotly_node_edge_traces(graph, cc_dset)\n",
     "    fig = go.Figure(\n",
     "        data=[edge_trace, node_trace],\n",
@@ -280,8 +310,8 @@
     "    )\n",
     "    fig.update_layout(\n",
     "        autosize=False,\n",
-    "        width=1600,\n",
-    "        height=1000,\n",
+    "        width=800,\n",
+    "        height=500,\n",
     "    )\n",
     "    fig.show()\n",
     "\n",
@@ -301,7 +331,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -329,9 +359,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_2939850/3289815995.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
+      "  sec_levels = cc_df.loc[cc_df.year_from < 2023].groupby([\"year_from\", \"eal\"], as_index=False).size()\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 3500x1000 with 14 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Display EAL in time\n",
     "sec_levels = cc_df.loc[cc_df.year_from < 2023].groupby([\"year_from\", \"eal\"], as_index=False).size()\n",
@@ -344,6 +402,41 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Compute category summary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def simplified_category_mapping(cat) -> str:\n",
+    "    if cat in CARD_RELATED_CAT:\n",
+    "        return \"Smartcard-related\"\n",
+    "    elif cat in OTHERS_CAT:\n",
+    "        return \"Others\"\n",
+    "    elif cat == SMARTCARD_CATEGORY:\n",
+    "        return \"Smartcards\"\n",
+    "    else:\n",
+    "        raise ValueError(f\"Unknown category {cat}\")\n",
+    "\n",
+    "\n",
+    "cc_df_comp[\"category_simplified\"] = cc_df_comp.category.map(simplified_category_mapping)\n",
+    "cc_df_prev[\"category_simplified\"] = cc_df_prev.category.map(simplified_category_mapping)\n",
+    "\n",
+    "component_reuse = cc_df_comp.groupby(\"category_simplified\").n_refs.sum().rename(\"Component reuse\")\n",
+    "previous_version = cc_df_prev.groupby(\"category_simplified\").n_refs.sum().rename(\"Predecessor\")\n",
+    "\n",
+    "pd.DataFrame([component_reuse, previous_version]).transpose().rename_axis(\"Product category\").to_csv(\n",
+    "    RESULTS_DIR / \"ref_categories_stackplot.csv\"\n",
+    ")"
+   ]
+  },
+  {
    "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
@@ -353,9 +446,53 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total number of referencing certificates: 1952 (36.19%)\n",
+      "Number of smartcard certificates that reference some other certificate: 1461 (83.58%)\n",
+      "\t- Out of that, 1307 do reference a sub-component.\n",
+      "\t- Out of that, 551 do reference a previous version.\n",
+      "Number of non-smartcard certificates that reference some other certificate: 491 (13.47%)\n",
+      "\t- Out of that, 280 do reference a sub-component.\n",
+      "\t- Out of that, 313 do reference a previous version.\n",
+      "Note that the numbers don't sum to 100, as a certificate can reference both a sub-component and a previous version.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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 2000x500 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "def compute_basic_reference_graph_stats(\n",
     "    df__: pd.DataFrame, df_comp__: pd.DataFrame, df_prev__: pd.DataFrame\n",
@@ -413,9 +550,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                               cert_id  n_in_trans_refs\n",
+      "dgst                                                   \n",
+      "dd000f356b48904d  BSI-DSZ-CC-0813-2012               77\n",
+      "d12cc4580cb099f8      ANSSI-CC-2009/05               64\n",
+      "a4d0e44f4527180f      ANSSI-CC-2009/06               63\n",
+      "5cdef03a3004a6ff      ANSSI-CC-2009/26               62\n",
+      "2d2ce200fea72359      ANSSI-CC-2009/28               57\n",
+      "Infineon smart card IC (Security Controller) M7820 A11 with optional RSA2048/4096 v1.02.008, EC v1.02.008, SHA-2 v1.01 and Toolbox v1.02.008 libraries and with specific IC dedicated software\n",
+      "Secured Microcontroller ST23YR80A\n",
+      "Secured Microcontrollers SA23YR80A including the cryptographic Library NesLib SA revision 1.0\n",
+      "STMicroelectronics ST23YR48A Secure Microcontroller\n",
+      "STMicroelectronics SB23YR80A Secure Microcontroller, including the cryptographic library Neslib v2.0 SB\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  0%|          | 0/5 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 5/5 [00:26<00:00,  5.25s/it]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# TODO: Decide on and implement the note below\n",
     "\"\"\"\n",
@@ -427,7 +607,7 @@
     "\n",
     "def compute_certs_top_reach(df__: pd.DataFrame):\n",
     "    df = df__.copy()\n",
-    "    top_10_certs = df.sort_values(by=\"n_in_trans_refs\", ascending=False).head(10)\n",
+    "    top_10_certs = df.sort_values(by=\"n_in_trans_refs\", ascending=False).head(5)\n",
     "    print(top_10_certs[[\"cert_id\", \"n_in_trans_refs\"]])\n",
     "    for dgst in top_10_certs.index.tolist():\n",
     "        print(dset[dgst].name)\n",
@@ -447,37765 +627,82 @@
     "    g.figure.savefig(RESULTS_DIR / \"lineplot_top_certificate_reach.pdf\", bbox_inches=\"tight\")\n",
     "    g.figure.show()\n",
     "\n",
-    "    return top_10_certs.index.tolist()\n",
+    "    return top_10_certs.index.tolist(), df_reach_evolution_melted\n",
     "\n",
     "\n",
-    "top_10_digests = compute_certs_top_reach(cc_df_comp)"
+    "top_10_digests, df_to_plot = compute_certs_top_reach(cc_df_comp)\n",
+    "df_to_plot.to_csv(RESULTS_DIR / \"average_reach_over_time.csv\", header=True, index=False)"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Average number of references & certificate reach over time"
+    "## Combined reach evolution in time"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Preparing inputs for average reach computation...\n",
-      "Computing average reach in parallel...\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 543/543 [01:39<00:00,  5.46it/s]\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Preparing inputs for average reach computation...\n",
-      "Computing average reach in parallel...\n"
-     ]
-    },
-    {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 110/110 [00:24<00:00,  4.58it/s]\n"
+      "100%|██████████| 9056/9056 [00:54<00:00, 165.33it/s]\n"
      ]
     },
     {
      "data": {
-      "text/html": [
-       "        <script type=\"text/javascript\">\n",
-       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
-       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
-       "            /**\n",
-       "* plotly.js v2.27.0\n",
-       "* Copyright 2012-2023, Plotly, Inc.\n",
-       "* All rights reserved.\n",
-       "* Licensed under the MIT license\n",
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F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.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(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return 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kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var 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e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},13011:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var 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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var n=r(50215),i=r(30962).overrideAll,a=r(44467).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},5485:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},82188:function(t,e,r){\"use strict\";var n=r(92605).drawRaw,i=r(63538),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},2468:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(5485),draw:r(82188)}},7561:function(t,e,r){\"use 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n=l(t*f*.8,2),i=l(.8*t,2),a=l(1.6*t,2),o=l(4*t,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",\"+i+s+n+\",\"+i+s+\"0,-\"+a+s+\"-\"+n+\",\"+i+\"Z\")}},\"star-triangle-down\":{n:20,f:function(t,e,r){if(v(e))return u;var n=l(t*f*.8,2),i=l(.8*t,2),a=l(1.6*t,2),o=l(4*t,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return g(e,r,\"M\"+n+\",-\"+i+s+\"-\"+n+\",-\"+i+s+\"0,\"+a+s+n+\",-\"+i+\"Z\")}},\"star-square\":{n:21,f:function(t,e,r){if(v(e))return u;var n=l(1.1*t,2),i=l(2*t,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",-\"+n+a+\"-\"+n+\",\"+n+a+n+\",\"+n+a+n+\",-\"+n+a+\"-\"+n+\",-\"+n+\"Z\")}},\"star-diamond\":{n:22,f:function(t,e,r){if(v(e))return u;var n=l(1.4*t,2),i=l(1.9*t,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",0\"+a+\"0,\"+n+a+n+\",0\"+a+\"0,-\"+n+a+\"-\"+n+\",0Z\")}},\"diamond-tall\":{n:23,f:function(t,e,r){if(v(e))return u;var n=l(.7*t,2),i=l(1.4*t,2);return g(e,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},\"diamond-wide\":{n:24,f:function(t,e,r){if(v(e))return u;var n=l(1.4*t,2),i=l(.7*t,2);return g(e,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},hourglass:{n:25,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M\"+n+\",\"+n+\"H-\"+n+\"L\"+n+\",-\"+n+\"H-\"+n+\"Z\")},noDot:!0},bowtie:{n:26,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M\"+n+\",\"+n+\"V-\"+n+\"L-\"+n+\",\"+n+\"V-\"+n+\"Z\")},noDot:!0},\"circle-cross\":{n:27,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M0,\"+n+\"V-\"+n+\"M\"+n+\",0H-\"+n+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 \"+n+\",0Z\")},needLine:!0,noDot:!0},\"circle-x\":{n:28,f:function(t,e,r){if(v(e))return u;var n=l(t,2),i=l(t/c,2);return g(e,r,\"M\"+i+\",\"+i+\"L-\"+i+\",-\"+i+\"M\"+i+\",-\"+i+\"L-\"+i+\",\"+i+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 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ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=H(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=W[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,W.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,W.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(W.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,W.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,W.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(W.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var wt=d.selectAll(\"g.hovertext\").data(t,(function(t){return C(t)}));return wt.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,T,k)})),wt.exit().remove(),wt.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var d=t.bgcolor||o,v=p.combine(p.opacity(d)?d:p.defaultLine,f),g=p.combine(p.opacity(o)?o:p.defaultLine,f),y=t.borderColor||p.contrast(v),m=I(t,j,a,i,D,e),x=m[0],b=m[1],w=e.select(\"text.nums\").call(h.font,t.fontFamily||T,t.fontSize||k,t.fontColor||y).text(x).attr(\"data-notex\",1).call(c.positionText,0,0).call(c.convertToTspans,r),A=e.select(\"text.name\"),E=0,L=0;if(b&&b!==x){A.call(h.font,t.fontFamily||T,t.fontSize||k,g).text(b).attr(\"data-notex\",1).call(c.positionText,0,0).call(c.convertToTspans,r);var C=H(r,A.node());E=C.width+2*S,L=C.height+2*S}else A.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:v,stroke:y});var P=t.xa._offset+(t.x0+t.x1)/2,O=t.ya._offset+(t.y0+t.y1)/2,z=Math.abs(t.x1-t.x0),R=Math.abs(t.y1-t.y0),U=H(r,w.node()),V=U.width/i._invScaleX,q=U.height/i._invScaleY;t.ty0=(F-U.top)/i._invScaleY,t.bx=V+2*S,t.by=Math.max(q+2*S,L),t.anchor=\"start\",t.txwidth=V,t.tx2width=E,t.offset=0;var 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n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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n=r(85555),i=r(44467).templatedArray;r(24695),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},75378:function(t,e,r){\"use 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},c.drawcircle={name:\"drawcircle\",title:function(t){return u(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},c.eraseshape={name:\"eraseshape\",title:function(t){return u(t,\"Erase active shape\")},icon:o.eraseshape,click:s},c.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},c.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},c.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return u(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},c.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return u(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},c.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},c.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return u(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},c.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},c.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},c.orbitRotation={name:\"orbitRotation\",title:function(t){return u(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},93348:function(t,e,r){\"use strict\";var n=r(26023),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use 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n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var l=A.selectdirection;switch(a=\"any\"===l?i<Math.min(.6*r,D)?\"h\":r<Math.min(.6*i,D)?\"v\":\"d\":l){case\"h\":o=w?mt/2:0,s=mt;break;case\"v\":o=w?yt/2:0,s=yt}}if(x)switch(A.newshape.drawdirection){case\"vertical\":a=\"h\",o=w?mt/2:0,s=mt;break;case\"horizontal\":a=\"v\",o=w?yt/2:0,s=yt;break;case\"ortho\":r<i?(a=\"h\",o=B,s=pt):(a=\"v\",o=F,s=lt);break;default:a=\"d\"}\"h\"===a?((J=T?_(w,[lt,o],[lt,s]):[[F,o],[F,s],[lt,s],[lt,o]]).xmin=T?lt:Math.min(F,lt),J.xmax=T?lt:Math.max(F,lt),J.ymin=Math.min(o,s),J.ymax=Math.max(o,s),kt.attr(\"d\",\"M\"+J.xmin+\",\"+(B-D)+\"h-4v\"+2*D+\"h4ZM\"+(J.xmax-1)+\",\"+(B-D)+\"h4v\"+2*D+\"h-4Z\")):\"v\"===a?((J=T?_(w,[o,pt],[s,pt]):[[o,B],[o,pt],[s,pt],[s,B]]).xmin=Math.min(o,s),J.xmax=Math.max(o,s),J.ymin=T?pt:Math.min(B,pt),J.ymax=T?pt:Math.max(B,pt),kt.attr(\"d\",\"M\"+(F-D)+\",\"+J.ymin+\"v-4h\"+2*D+\"v4ZM\"+(F-D)+\",\"+(J.ymax-1)+\"v4h\"+2*D+\"v-4Z\")):\"d\"===a&&((J=T?_(w,[F,B],[lt,pt]):[[F,B],[F,pt],[lt,pt],[lt,B]]).xmin=Math.min(F,lt),J.xmax=Math.max(F,lt),J.ymin=Math.min(B,pt),J.ymax=Math.max(B,pt),kt.attr(\"d\",\"M0,0Z\"))}else 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&J&&n.selectionDefs&&(J.subtract=xt,n.selectionDefs.push(J),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,W)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},89827:function(t,e,r){\"use strict\";var n=r(50215),i=r(41940),a=r(82196).line,o=r(79952).P,s=r(1426).extendFlat,l=r(44467).templatedArray,u=(r(24695),r(9012)),c=r(5386).R,f=r(37281);t.exports=l(\"shape\",{visible:s({},u.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},u.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},u.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},u.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},u.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:c({},{keys:Object.keys(f)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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n=r(7901),i=r(71828);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},23243:function(t,e,r){\"use strict\";var n=r(98292);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(75067),supplyLayoutDefaults:r(12343),draw:r(44504)}},92998:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(74875),o=r(73972),s=r(71828),l=s.strTranslate,u=r(91424),c=r(7901),f=r(63893),h=r(37822),p=r(18783).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var 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i=\"title.automargin\",s=t._fullLayout.title,l=s.y>.5?\"t\":\"b\",u={x:s.x,y:s.y,t:0,b:0},c={};\"paper\"===s.yref&&function(t,e,r,n,i){var a=\"paper\"===e.yref?t._fullLayout._size.h:t._fullLayout.height,s=o.isTopAnchor(e)?n:n-i,l=\"b\"===r?a-s:s;return!(o.isTopAnchor(e)&&\"t\"===r||o.isBottomAnchor(e)&&\"b\"===r)&&l<i}(t,s,l,e,n)?u[l]=r:\"container\"===s.yref&&(c[l]=r,t._fullLayout._reservedMargin[i]=c),a.allowAutoMargin(t,i),a.autoMargin(t,i,u)}(t,h,y,g),v.attr({x:p,y:h,\"text-anchor\":l,dy:(e=r.yanchor,\"top\"===e?d.CAP_SHIFT+.3+\"em\":\"bottom\"===e?\"-0.3em\":d.MID_SHIFT+\"em\")}).call(s.positionText,p,h))}},e.doTraceStyle=function(t){var r,n=t.calcdata,o=[];for(r=0;r<n.length;r++){var s=n[r],u=s[0]||{},c=u.trace||{},f=c._module||{},h=f.arraysToCalcdata;h&&h(s,c);var p=f.editStyle;p&&o.push({fn:p,cd0:u})}if(o.length){for(r=0;r<o.length;r++){var d=o[r];d.fn(t,d.cd0)}l(t),e.redrawReglTraces(t)}return 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w=e._offset-r.top;w>0&&(n.yt=1,n.t=w)}n[y]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[v[0]],e.title.text!==d._dfltTitle[g]&&(n[l]+=At(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]+=f),!0===e.mirror||\"ticks\"===e.mirror?i[y]=e._anchorAxis.domain[v[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[y]=[e._counterDomainMin,e._counterDomainMax][v[1]]))}lt&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),\"string\"==typeof e.automargin&&(_t(n,e.automargin),_t(i,e.automargin)),a.autoMargin(t,Et(e),n),a.autoMargin(t,Lt(e),i),a.autoMargin(t,Ct(e),s)})),s.syncOrAsync(ot)}}function ut(t){var r=v+(t||\"tick\");return M[r]||(M[r]=function(t,e){var r,n,i,a;return t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var 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b,_=n.letter,w=n.font||{},T=n.splomStash||{},k=r(\"visible\",!n.visibleDflt),A=e._template||{},M=e.type||A.type||\"-\";\"date\"===M&&(i.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",n.calendar),n.noTicklabelmode||(b=r(\"ticklabelmode\")));var S=\"\";n.noTicklabelposition&&\"multicategory\"!==M||(S=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===b?[\"outside\",\"inside\"]:\"x\"===_?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==S.indexOf(\"inside\")?\"hide past domain\":\"category\"===M||\"multicategory\"===M?\"allow\":\"hide past div\"),g(e,m),v(t,e,r,n),p(t,e,r,n),\"category\"===M||n.noHover||r(\"hoverformat\");var E=r(\"color\"),L=E!==l.color.dflt?E:w.color,C=T.label||m._dfltTitle[_];if(h(t,e,r,M,n),!k)return e;r(\"title.text\",C),a.coerceFont(r,\"title.font\",{family:w.family,size:a.bigFont(w.size),color:L}),u(t,e,r,M);var P=n.hasMinor;if(P&&(o.newContainer(e,\"minor\"),u(t,e,r,M,{isMinor:!0})),f(t,e,r,M,n),c(t,e,r,n),P){var O=n.isMinor;n.isMinor=!0,c(t,e,r,n),n.isMinor=O}d(t,e,r,{dfltColor:E,bgColor:n.bgColor,showGrid:n.showGrid,hasMinor:P,attributes:l}),!P||e.minor.ticks||e.minor.showgrid||delete e.minor,(e.showline||e.ticks)&&r(\"mirror\");var I,D=\"multicategory\"===M;if(n.noTickson||\"category\"!==M&&!D||!e.ticks&&!e.showgrid||(D&&(I=\"boundaries\"),\"boundaries\"===r(\"tickson\",I)&&delete e.ticklabelposition),D&&r(\"showdividers\")&&(r(\"dividercolor\"),r(\"dividerwidth\")),\"date\"===M)if(s(t,e,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:x}),e.rangebreaks.length){for(var z=0;z<e.rangebreaks.length;z++)if(e.rangebreaks[z].pattern===y){e._hasDayOfWeekBreaks=!0;break}if(g(e,m),m._has(\"scattergl\")||m._has(\"splom\"))for(var R=0;R<n.data.length;R++){var F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. Setting trace \"+F.index+\" to `visible: false`.\"))}}else delete e.rangebreaks;return e};var b={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function _(t){if(\"string\"==typeof t)return b[t.substr(0,3).toLowerCase()]}},12663:function(t,e,r){\"use strict\";var n=r(31562),i=n.FORMAT_LINK,a=n.DATE_FORMAT_LINK;function o(t,e){return[\"Sets the \"+t+\" formatting rule\"+(e?\"for `\"+e+\"` \":\"\"),\"using d3 formatting mini-languages\",\"which are very similar to those in Python. For numbers, see: \"+i+\".\"].join(\" \")}function s(t,e){return o(t,e)+[\" And for dates see: \"+a+\".\",\"We add two items to d3's date formatter:\",\"*%h* for half of the year as a decimal number as well as\",\"*%{n}f* for fractional seconds\",\"with n digits. 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var 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Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Zt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Xt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Wt(a,m=Yt(a,d,g)),m>1&&(void 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t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Wt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<J.length;n++)u(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<K.length;n++)u(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Zt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},4305:function(t,e,r){\"use strict\";var n=r(39898),i=r(30211),a=r(28569),o=r(6964),s=r(29323).makeDragBox,l=r(85555).DRAGGERSIZE;e.initInteractions=function(t){var r=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(r._has(\"cartesian\")||r._has(\"splom\")){Object.keys(r._plots||{}).sort((function(t,e){if((r._plots[t].mainplot&&!0)===(r._plots[e].mainplot&&!0)){var n=t.split(\"y\"),i=e.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return r._plots[t].mainplot?1:-1})).forEach((function(e){var n=r._plots[e],o=n.xaxis,u=n.yaxis;if(!n.mainplot){var 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_=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=r(71739).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. 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i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var 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A=w[s],E=A.bounds,L=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if(\"cube\"===D)g=[1,1,1];else if(\"manual\"===D){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==D&&\"data\"!==D)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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B(t,e,r)},N.plot=function(t,e){for(var r=this,n=e[r.id],i=!1,a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){i=!0;break}r._hasClipOnAxisFalse=i,r.updateLayers(e,n),r.updateLayout(e,n),f.generalUpdatePerTraceModule(r.gd,r,t,n),r.updateFx(e,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)},N.updateLayers=function(t,e){var r=this,i=r.isSmith,a=r.layers,o=r.getRadial(e),s=r.getAngular(e),l=S.layerNames,u=l.indexOf(\"frontplot\"),c=l.slice(0,u),f=\"below traces\"===s.layer,h=\"below traces\"===o.layer;f&&c.push(\"angular-line\"),h&&c.push(\"radial-line\"),f&&c.push(\"angular-axis\"),h&&c.push(\"radial-axis\"),c.push(\"frontplot\"),f||c.push(\"angular-line\"),h||c.push(\"radial-line\"),f||c.push(\"angular-axis\"),h||c.push(\"radial-axis\");var p=(i?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+p).data(c,String);d.enter().append(\"g\").attr(\"class\",(function(t){return p+\" \"+t})).each((function(t){var e=a[t]=n.select(this);switch(t){case\"frontplot\":i||e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":a.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),d.order()},N.updateLayout=function(t,e){var r=this,n=r.layers,i=t._size,a=r.getRadial(e),o=r.getAngular(e),s=e.domain.x,f=e.domain.y;r.xOffset=i.l+i.w*s[0],r.yOffset=i.t+i.h*(1-f[1]);var h=r.xLength=i.w*(s[1]-s[0]),p=r.yLength=i.h*(f[1]-f[0]),d=r.getSector(e);r.sectorInRad=d.map(R);var v,g,y,m,x,b=r.sectorBBox=function(t){var e,r=t[0],n=t[1]-r,i=z(r,360),a=i+n,o=Math.cos(R(i)),s=Math.sin(R(i)),l=Math.cos(R(a)),u=Math.sin(R(a));return 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A,M=r.xOffset2=i.l+i.w*y[0],S=r.yOffset2=i.t+i.h*(1-m[1]),E=r.radius=v/_,L=r.innerRadius=r.getHole(e)*E,C=r.cx=M-E*b[0],P=r.cy=S+E*b[3],O=r.cxx=C-M,I=r.cyy=P-S,D=a.side;\"counterclockwise\"===D?(A=D,D=\"top\"):\"clockwise\"===D&&(A=D,D=\"bottom\"),r.radialAxis=r.mockAxis(t,e,a,{_id:\"x\",side:D,_trueSide:A,domain:[L/i.w,E/i.w]}),r.angularAxis=r.mockAxis(t,e,o,{side:\"right\",domain:[0,Math.PI],autorange:!1}),r.doAutoRange(t,e),r.updateAngularAxis(t,e),r.updateRadialAxis(t,e),r.updateRadialAxisTitle(t,e),r.xaxis=r.mockCartesianAxis(t,e,{_id:\"x\",domain:y}),r.yaxis=r.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var F=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",F).attr(\"transform\",l(O,I)),n.frontplot.attr(\"transform\",l(M,S)).call(c.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",F).attr(\"transform\",l(C,P)).call(u.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(e);v(n,i);var o=i.range;a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")]},N.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,c=r.innerRadius,f=r.cx,p=r.cy,d=r.getRadial(e),v=z(r.getSector(e)[0],360),g=r.radialAxis,y=c<a,m=r.isSmith;m||(r.fillViewInitialKey(\"radialaxis.angle\",d.angle),r.fillViewInitialKey(\"radialaxis.range\",g.range.slice()),g.setGeometry()),\"auto\"===g.tickangle&&v>90&&v<=270&&(g.tickangle=180);var x=m?function(t){var e=I(r,C([t.x,0]));return l(e[0]-f,e[1]-p)}:function(t){return l(g.l2p(t.x)+c,0)},b=m?function(t){return O(r,t.x,-1/0,1/0)}:function(t){return r.pathArc(g.r2p(t.x)+c)},_=j(d);if(r.radialTickLayout!==_&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=_),y){g.setScale();var w=0,T=m?(g.tickvals||[]).filter((function(t){return t>=0})).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g),k=m?T:h.clipEnds(g,T),A=h.getTickSigns(g)[2];m&&((\"top\"===g.ticks&&\"bottom\"===g.side||\"bottom\"===g.ticks&&\"top\"===g.side)&&(A=-A),\"top\"===g.ticks&&\"top\"===g.side&&(w=-g.ticklen),\"bottom\"===g.ticks&&\"bottom\"===g.side&&(w=g.ticklen)),h.drawTicks(n,g,{vals:T,layer:i[\"radial-axis\"],path:h.makeTickPath(g,0,A),transFn:x,crisp:!1}),h.drawGrid(n,g,{vals:k,layer:i[\"radial-grid\"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:T,layer:i[\"radial-axis\"],transFn:x,labelFns:h.makeLabelFns(g,w)})}var M=r.radialAxisAngle=r.vangles?F(U(R(d.angle),r.vangles)):d.angle,S=l(f,p),E=S+s(-M);V(i[\"radial-axis\"],y&&(d.showticklabels||d.ticks),{transform:E}),V(i[\"radial-grid\"],y&&d.showgrid,{transform:m?\"\":S}),V(i[\"radial-line\"].select(\"line\"),y&&d.showline,{x1:m?-a:c,y1:0,x2:a,y2:0,transform:E}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateRadialAxisTitle=function(t,e,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(e),u=n.id+\"title\",f=0;if(l.title){var h=c.bBox(n.layers[\"radial-axis\"].node()).height,p=l.title.font.size,d=l.side;f=\"top\"===d?p:\"counterclockwise\"===d?-(h+.4*p):h+.8*p}var v=void 0!==r?r:n.radialAxisAngle,g=R(v),y=Math.cos(g),m=Math.sin(g),b=o+a/2*y+f*m,_=s-a/2*m+f*y;n.layers[\"radial-axis-title\"]=x.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title\",placeholder:D(i,\"Click to enter radial axis 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e=y(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+c*r,p-c*n]+\"L\"+[f+a*r,p-a*n]},w=h.makeLabelFns(v,0).labelStandoff,T={xFn:function(t){var e=y(t);return Math.cos(e)*w},yFn:function(t){var e=y(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=y(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=y(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+v._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(v.tickvals||[]).map((function(t){return h.tickText(v,t,!0,!1)})):h.calcTicks(v);if(g&&(S[0].text=\"∞\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(y),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===v.type&&(S=S.filter((function(t){return o.isAngleInsideSector(y(t),r.sectorInRad)}))),v.visible){var E=\"inside\"===v.ticks?-1:1,L=(v.linewidth||1)/2;h.drawTicks(n,v,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*v.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,v,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,v,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,H,q,G,Z,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,v)),o=a-z,l=a+z;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*z);var n,i,a=K(t,e),o=K(t,r),l=O((a[0]+o[0])/2),u=O((a[1]+o[1])/2);if(l&&u){var c=u/l,f=-1/c,h=I(z,c,l,u);n=I(R,f,h[0][0],h[0][1]),i=I(R,f,h[1][0],h[1][1])}else{var p,d;u?(p=R,d=z):(p=z,d=R),n=[[l-p,u-d],[l+p,u-d]],i=[[l-p,u+d],[l+p,u+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,v),x),t<d?t=0:v-t<d?t=v:e<d?e=0:v-e<d&&(e=v),Math.abs(e-t)>p?(t<e?(j=t,U=e):(j=e,U=t),!0):(j=null,U=null,!1)}function et(t,e){t=t||V,e=e||\"M0,0Z\",G.attr(\"d\",t),Z.attr(\"d\",e),g.transitionZoombox(G,Z,H,q),H=!0;var r={};ot(r),c.emit(\"plotly_relayouting\",r)}function rt(t,n){var i,a,o=B+(t*=e),l=N+(n*=r),u=X(B,N),c=Math.min(X(o,l),v),f=J(B,N);tt(u,c)&&(i=V+s.pathSector(U),j&&(i+=s.pathSector(j)),a=$(j,f)+$(U,f)),et(i,a)}function 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n=r(39898),i=r(84267),a=r(73972),o=r(71828),s=o.strTranslate,l=o._,u=r(7901),c=r(91424),f=r(21994),h=r(1426).extendFlat,p=r(74875),d=r(89298),v=r(28569),g=r(30211),y=r(64505),m=y.freeMode,x=y.rectMode,b=r(92998),_=r(47322).prepSelect,w=r(47322).selectOnClick,T=r(47322).clearOutline,k=r(47322).clearSelectionsCache,A=r(85555);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId=\"clip\"+e.layoutId+e.id,a=e.clipIdRelative=\"clip-relative\"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.plotContainer=o.ensureSingle(e.container,\"g\",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,v=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],m=d.y[1]-d.y[0],x=y*e.w,b=m*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+c,y:e.y0+e.h+.83*s.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;D(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),u=Math.max(0,Math.min(1,N(r,n),N(o,s))),c=Math.max(0,Math.min(1,j(r,n),j(o,s))),v=(l/2+c)*M.w,g=(1-l/2-u)*M.w,m=(v+g)/2,x=g-v,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+u*h,c:f.c+c*h},T.attr(\"d\",y+\"M\"+v+\",\"+_+\"H\"+g+\"L\"+m+\",\"+w+\"L\"+v+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+v+\",\"+_+C+\"M\"+g+\",\"+_+P+\"M\"+m+\",\"+w+O)),b||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){D(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),I&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),I=!1))}function H(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(c.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function q(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,c){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var v=M.dragOptions.dragmode=L._fullLayout.dragmode;m(v)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===v?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var c=L._fullLayout._invTransform,v=o.apply3DTransform(c)(r,n);r=v[0],n=v[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",b=!1,T=z.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=z.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:u.background,stroke:u.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(L)}(0,l,c)):\"pan\"===v?(M.dragOptions.moveFn=H,M.dragOptions.clickFn=F,M.dragOptions.doneFn=q,f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,M.clearOutline(L)):(x(v)||m(v))&&_(a,l,c,M.dragOptions,v)}},S.onmousemove=function(t){g.hover(L,t,M.id),L._fullLayout._lasthover=S,L._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){L._dragging||v.unhover(L,t)},v.init(this.dragOptions)}},73972:function(t,e,r){\"use strict\";var n=r(47769),i=r(64213),a=r(75138),o=r(41965),s=r(24401).addStyleRule,l=r(1426),u=r(9012),c=r(10820),f=l.extendFlat,h=l.extendDeepAll;function 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f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},16688:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424),o=r(71828),s=r(73972),l=r(72597).resizeText,u=r(1486),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(69383);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},83832:function(t,e,r){\"use strict\";t.exports={attributes:r(53522),layoutAttributes:r(40094),supplyDefaults:r(36411).supplyDefaults,crossTraceDefaults:r(36411).crossTraceDefaults,supplyLayoutDefaults:r(4199).supplyLayoutDefaults,calc:r(48518),crossTraceCalc:r(37188).crossTraceCalc,plot:r(86047).plot,style:r(58063).style,styleOnSelect:r(58063).styleOnSelect,hoverPoints:r(41868).hoverPoints,eventData:r(74907),selectPoints:r(24626),moduleType:\"trace\",name:\"box\",basePlotModule:r(93612),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},40094:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,u=e.pos,c=!!u.rangebreaks,f=a.bPos,h=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+h,a=u.l2p(e+s)+h,d=c?(i+a)/2:u.l2p(e)+h,v=l.c2p(t.mean,!0),g=l.c2p(t.mean-t.sd,!0),y=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+v+\",\"+i+\"V\"+a+(\"sd\"===p?\"m0,0L\"+g+\",\"+d+\"L\"+v+\",\"+i+\"L\"+y+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+i+\",\"+v+\"H\"+a+(\"sd\"===p?\"m0,0L\"+d+\",\"+g+\"L\"+i+\",\"+v+\"L\"+d+\",\"+y+\"Z\":\"\"))}))}t.exports={plot:function(t,e,r,a){var u=t._context.staticPlot,c=e.xaxis,f=e.yaxis;i.makeTraceGroups(a,r,\"trace boxes\").each((function(t){var e,r,i=n.select(this),a=t[0],h=a.t,p=a.trace;h.wdPos=h.bdPos*p.whiskerwidth,!0!==p.visible||h.empty?i.remove():(\"h\"===p.orientation?(e=f,r=c):(e=c,r=f),o(i,{pos:e,val:r},p,h,u),s(i,{x:c,y:f},p,h),l(i,{pos:e,val:r},p,h))}))},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l}},24626:function(t){\"use strict\";t.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(!1===e)for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++)i[r].pts[n].selected=0;else for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++){var l=i[r].pts[n],u=a.c2p(l.x),c=o.c2p(l.y);e.contains([u,c],null,l.i,t)?(s.push({pointNumber:l.i,x:a.c2d(l.x),y:o.c2d(l.y)}),l.selected=1):l.selected=0}return s}},58063:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424);t.exports={style:function(t,e,r){var o=r||n.select(t).selectAll(\"g.trace.boxes\");o.style(\"opacity\",(function(t){return 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n=r(82196),i=r(9012),a=r(41940),o=r(12663).axisHoverFormat,s=r(5386).fF,l=r(5386).si,u=r(50693),c=r(1426).extendFlat;t.exports=c({z:{valType:\"data_array\",editType:\"calc\"},x:c({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:c({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:c({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:c({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:c({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:c({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:c({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:c({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:c({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:c({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:c({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:c({},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:c({},i.showlegend,{dflt:!1})},{transforms:void 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;o*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?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 u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[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<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(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 u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var 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(y,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(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var 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=u(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 c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,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,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(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:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(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-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"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:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},15790:function(t,e,r){\"use 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r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=c.hasLines(a),T=c.hasMarkers(a),k=c.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=v(\"fill\"),L=v(\"line\"),C=v(\"circle\"),P=v(\"symbol\"),O={fill:E,line:L,circle:C,symbol:P};if(!b)return O;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var I=function(t){var e,r,a,o,c=t[0].trace,f=c.marker,h=c.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),v=i.isArrayOrTypedArray(f.opacity);function g(t){return c.opacity*t}p&&(r=s.hasColorscale(c,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity),d&&(a=u(c)),v&&(o=function(t){return 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset,\"text-font\":a.textfont.family.split(\", \")}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181),c=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extra Bold Italic\",\"Open Sans Extra Bold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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n=r(35948),i=r(20794).calcHover;t.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,u=s.c2p(e),c=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,v,g=o[h],y=o[p],m=f,x=0;x<g.length;x++){var b=g[x],_=y[x],w=s.c2p(b)-u,T=l.c2p(_)-c,k=Math.sqrt(w*w+T*T);k<m&&(m=v=k,d=x)}return t.index=d,t.distance=m,t.dxy=v,void 0===d?[t]:[i(t,g,y,a)]}}},6419:function(t,e,r){\"use strict\";var n=r(65017);n.basePlotModule=r(16947),t.exports=n},79410:function(t,e,r){\"use strict\";var n=r(60487),i=r(71828),a=r(41675),o=r(64505).selectMode;function s(t,e){var r,s,l,u,c,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,v=f._splomScenes[p.uid],g=v.matrixOptions,y=g.cdata,m=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=y.length,w=v.viewOpts={};for(w.ranges=new Array(_),w.domains=new 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B=i.extendFlat({},g,v.unselectedOptions,w),N=i.extendFlat({},g,v.selectedOptions,w);v.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);v.matrix.update(j,null)}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},10164:function(t,e,r){\"use strict\";var n=r(71828);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},8689:function(t,e,r){\"use strict\";var n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){\"use strict\";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){\"use strict\";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},87619:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(66888),categories:[],animatable:!0,attributes:r(57564),layoutAttributes:r(2654),supplyDefaults:r(17094),supplyLayoutDefaults:r(57034),calc:r(52147).calc,crossTraceCalc:r(52147).crossTraceCalc,plot:r(24714).plot,style:r(29969).style,colorbar:r(4898),meta:{}}},2654:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},57034:function(t,e,r){\"use strict\";var n=r(71828),i=r(2654);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},24714:function(t,e,r){\"use strict\";var 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:L,height:m,columnOrder:M,groupHeight:m,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:v}),gdColumns:v.map((function(t){return t[0]})),gdColumnsOriginalOrder:v.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:v.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:c,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=c(t)})),C}},56269:function(t,e,r){\"use strict\";var n=r(1426).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},96595:function(t,e,r){\"use strict\";t.exports={attributes:r(44464),supplyDefaults:r(39754),calc:r(76333),plot:r(36736),moduleType:\"trace\",name:\"table\",basePlotModule:r(99469),categories:[\"noOpacity\"],meta:{}}},36736:function(t,e,r){\"use strict\";var n=r(49850),i=r(39898),a=r(71828).numberFormat,o=r(28984),s=r(91424),l=r(63893),u=r(71828).raiseToTop,c=r(71828).strTranslate,f=r(71828).cancelTransition,h=r(51018),p=r(56269),d=r(7901);function v(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function y(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r),u=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(l);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(u);var c=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(u);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(c);var f=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(u),h=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(f);!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(h),_(h,e,a,t),D(u)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o=\"string\"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var u,c=\"string\"==typeof(u=i)&&u.match(n.latexCheck);t.latex=c;var f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" 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k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,u=0;u<s.length;u++)l+=s[u].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===c}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var 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r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),a.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var l=a.selectAll(\".\"+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";d.on(\"mousemove\",(function(e){l.filter((function(t){return 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c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var 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s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=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.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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:v(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()}},m.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:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.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,c=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],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,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]);c+=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])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;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,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,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=u(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)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),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]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.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}},9823:function(t){t.exports=function(){var t=new Float32Array(16);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}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.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}},7437:function(t){t.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],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*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,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=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*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.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}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,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);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=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+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.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],u=e[8],c=e[9],f=e[10],h=e[11];return 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]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},7115:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},5240:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},3668:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},998:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},2142:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);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}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],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))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[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,y=t.lineColor,m=-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=P(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),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,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]),c[T]=Math.min(c[T],w[T])}k=(N=P(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)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else z=[1,1,1,0];if(j)if(Array.isArray(y)){var U;if(3===(U=B?n<y.length?y[n]:[0,0,0,0]:y).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]),c[T]=Math.min(c[T],w[T]);var Z=i,Y=a;Z=0,Array.isArray(i)?Z=n<i.length?i[n]:0:i&&(Z=i),Y=0,Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var W=[Z*=Z>0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*I+Q]=z[Q];O[I]=m;var tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},6623:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(1884);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}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};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,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,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)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).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 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h=u,p=c,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]);for(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,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()}},9578:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the 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}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.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 _r=function(t,e){this.type=t,this.args=e};_r.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 u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.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 wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.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,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.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,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},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 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.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},Di.prototype.transitioned=function(t,e){for(var r=new Ri(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},Di.prototype.untransitioned=function(){for(var t=new Ri(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 zi=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)};zi.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 Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(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},Ri.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 Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(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 Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.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)},Ui.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=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};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.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}(Ui),Hi=function(t){this.specification=t};Hi.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)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=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 Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=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&&(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 Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(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 Ni(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(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,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&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=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},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.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},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.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)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){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}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,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}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",na);var ia=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,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,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]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.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}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",aa);var oa=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}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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 u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.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}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=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 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,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]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,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}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=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 Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=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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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ga),Ya=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof no||h instanceof io||h instanceof ao)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},oo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=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 Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.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 Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=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 ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.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)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[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];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=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 ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.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)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.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\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var Kl=Yl;function $l(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.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})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.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&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=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=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(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 nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.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=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.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 ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.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))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.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},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.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))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);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)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.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))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.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)},sc.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},sc.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})},sc.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)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.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},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}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()||sn(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 sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=uc.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 ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=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}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.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 mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.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)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=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()})};kc.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))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(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]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.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)}},Ac.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(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=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]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.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 Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.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},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=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\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.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 Ec*Math.acos(Math.min(i,1))},Lc.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 Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(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 Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(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)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(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)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.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},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(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 Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.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))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.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])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.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)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=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}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=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},qc={geometry:{configurable:!0}};qc.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},qc.geometry.set=function(t){this._geometry=t},Hc.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(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.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}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(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 Xc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(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})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.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},Zc.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},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){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 sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();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 wa},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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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 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s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Je=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=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\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=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()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=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:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(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 Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={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 rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(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 kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&ln(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)&&ln(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&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.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()}},Mn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.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),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.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)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.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},Mn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.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},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.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()},Mn.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)},Mn.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)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.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 Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.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 En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=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};Ln.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},Ln.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)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=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 Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={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}};Cn.prototype.clone=function(){var t=new Cn(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},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.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))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.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())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.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())},Pn.zoom.get=function(){return this._zoom},Pn.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())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.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)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.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=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.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)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.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())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.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])},Cn.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)))},Cn.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},Cn.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])},Cn.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]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.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},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Cn.prototype,Pn);var On=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})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.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(\"/\")},On.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},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(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)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.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=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(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 Un=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),Vn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.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\"}}},Zn.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)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.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},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.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=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.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 Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.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)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=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}(Kn),Qn=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}(Kn),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._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}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.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]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=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(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._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:oi(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=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.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:hi,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})}}}},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 pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.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%pi==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()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.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())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.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)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.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},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.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})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.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))},yi.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)},yi.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)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.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\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},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}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.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)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.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=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.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},ki.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.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)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(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}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.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},Mi.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},Mi.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\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.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)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.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},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.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}},Si.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 Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.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)}},Ei.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},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"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\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,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},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,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>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(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 Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,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 Pi))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 ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(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 Mi({customAttribution:e.customAttribution})),this.addControl(new Si,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?Ii:t)>Ii)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 Un(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 Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Ci||Oi&&r instanceof Oi?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 Ci||Oi&&r instanceof Oi);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 Mn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(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}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,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))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.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},Bi.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 Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.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},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({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 ji(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}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.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)}},Ni.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()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.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)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.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))},Ni.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))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={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 Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(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,Ui[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),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Zi=0,Yi=!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&&Yi)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 qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({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\":Zi--,Yi=!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\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!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),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.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},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=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\")};Qi.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},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.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)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.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())},Qi.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 ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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-          "1999-03-17T00:00:00",
-          "1999-03-18T00:00:00",
-          "1999-03-19T00:00:00",
-          "1999-03-20T00:00:00",
-          "1999-03-21T00:00:00",
-          "1999-03-22T00:00:00",
-          "1999-03-23T00:00:00",
-          "1999-03-24T00:00:00",
-          "1999-03-25T00:00:00",
-          "1999-03-26T00:00:00",
-          "1999-03-27T00:00:00",
-          "1999-03-28T00:00:00",
-          "1999-03-29T00:00:00",
-          "1999-03-30T00:00:00",
-          "1999-03-31T00:00:00",
-          "1999-04-01T00:00:00",
-          "1999-04-02T00:00:00",
-          "1999-04-03T00:00:00",
-          "1999-04-04T00:00:00",
-          "1999-04-05T00:00:00",
-          "1999-04-06T00:00:00",
-          "1999-04-07T00:00:00",
-          "1999-04-08T00:00:00",
-          "1999-04-09T00:00:00",
-          "1999-04-10T00:00:00",
-          "1999-04-11T00:00:00",
-          "1999-04-12T00:00:00",
-          "1999-04-13T00:00:00",
-          "1999-04-14T00:00:00",
-          "1999-04-15T00:00:00",
-          "1999-04-16T00:00:00",
-          "1999-04-17T00:00:00",
-          "1999-04-18T00:00:00",
-          "1999-04-19T00:00:00",
-          "1999-04-20T00:00:00",
-          "1999-04-21T00:00:00",
-          "1999-04-22T00:00:00",
-          "1999-04-23T00:00:00",
-          "1999-04-24T00:00:00",
-          "1999-04-25T00:00:00",
-          "1999-04-26T00:00:00",
-          "1999-04-27T00:00:00",
-          "1999-04-28T00:00:00",
-          "1999-04-29T00:00:00",
-          "1999-04-30T00:00:00",
-          "1999-05-01T00:00:00",
-          "1999-05-02T00:00:00",
-          "1999-05-03T00:00:00",
-          "1999-05-04T00:00:00",
-          "1999-05-05T00:00:00",
-          "1999-05-06T00:00:00",
-          "1999-05-07T00:00:00",
-          "1999-05-08T00:00:00",
-          "1999-05-09T00:00:00",
-          "1999-05-10T00:00:00",
-          "1999-05-11T00:00:00",
-          "1999-05-12T00:00:00",
-          "1999-05-13T00:00:00",
-          "1999-05-14T00:00:00",
-          "1999-05-15T00:00:00",
-          "1999-05-16T00:00:00",
-          "1999-05-17T00:00:00",
-          "1999-05-18T00:00:00",
-          "1999-05-19T00:00:00",
-          "1999-05-20T00:00:00",
-          "1999-05-21T00:00:00",
-          "1999-05-22T00:00:00",
-          "1999-05-23T00:00:00",
-          "1999-05-24T00:00:00",
-          "1999-05-25T00:00:00",
-          "1999-05-26T00:00:00",
-          "1999-05-27T00:00:00",
-          "1999-05-28T00:00:00",
-          "1999-05-29T00:00:00",
-          "1999-05-30T00:00:00",
-          "1999-05-31T00:00:00",
-          "1999-06-01T00:00:00",
-          "1999-06-02T00:00:00",
-          "1999-06-03T00:00:00",
-          "1999-06-04T00:00:00",
-          "1999-06-05T00:00:00",
-          "1999-06-06T00:00:00",
-          "1999-06-07T00:00:00",
-          "1999-06-08T00:00:00",
-          "1999-06-09T00:00:00",
-          "1999-06-10T00:00:00",
-          "1999-06-11T00:00:00",
-          "1999-06-12T00:00:00",
-          "1999-06-13T00:00:00",
-          "1999-06-14T00:00:00",
-          "1999-06-15T00:00:00",
-          "1999-06-16T00:00:00",
-          "1999-06-17T00:00:00",
-          "1999-06-18T00:00:00",
-          "1999-06-19T00:00:00",
-          "1999-06-20T00:00:00",
-          "1999-06-21T00:00:00",
-          "1999-06-22T00:00:00",
-          "1999-06-23T00:00:00",
-          "1999-06-24T00:00:00",
-          "1999-06-25T00:00:00",
-          "1999-06-26T00:00:00",
-          "1999-06-27T00:00:00",
-          "1999-06-28T00:00:00",
-          "1999-06-29T00:00:00",
-          "1999-06-30T00:00:00",
-          "1999-07-01T00:00:00",
-          "1999-07-02T00:00:00",
-          "1999-07-03T00:00:00",
-          "1999-07-04T00:00:00",
-          "1999-07-05T00:00:00",
-          "1999-07-06T00:00:00",
-          "1999-07-07T00:00:00",
-          "1999-07-08T00:00:00",
-          "1999-07-09T00:00:00",
-          "1999-07-10T00:00:00",
-          "1999-07-11T00:00:00",
-          "1999-07-12T00:00:00",
-          "1999-07-13T00:00:00",
-          "1999-07-14T00:00:00",
-          "1999-07-15T00:00:00",
-          "1999-07-16T00:00:00",
-          "1999-07-17T00:00:00",
-          "1999-07-18T00:00:00",
-          "1999-07-19T00:00:00",
-          "1999-07-20T00:00:00",
-          "1999-07-21T00:00:00",
-          "1999-07-22T00:00:00",
-          "1999-07-23T00:00:00",
-          "1999-07-24T00:00:00",
-          "1999-07-25T00:00:00",
-          "1999-07-26T00:00:00",
-          "1999-07-27T00:00:00",
-          "1999-07-28T00:00:00",
-          "1999-07-29T00:00:00",
-          "1999-07-30T00:00:00",
-          "1999-07-31T00:00:00",
-          "1999-08-01T00:00:00",
-          "1999-08-02T00:00:00",
-          "1999-08-03T00:00:00",
-          "1999-08-04T00:00:00",
-          "1999-08-05T00:00:00",
-          "1999-08-06T00:00:00",
-          "1999-08-07T00:00:00",
-          "1999-08-08T00:00:00",
-          "1999-08-09T00:00:00",
-          "1999-08-10T00:00:00",
-          "1999-08-11T00:00:00",
-          "1999-08-12T00:00:00",
-          "1999-08-13T00:00:00",
-          "1999-08-14T00:00:00",
-          "1999-08-15T00:00:00",
-          "1999-08-16T00:00:00",
-          "1999-08-17T00:00:00",
-          "1999-08-18T00:00:00",
-          "1999-08-19T00:00:00",
-          "1999-08-20T00:00:00",
-          "1999-08-21T00:00:00",
-          "1999-08-22T00:00:00",
-          "1999-08-23T00:00:00",
-          "1999-08-24T00:00:00",
-          "1999-08-25T00:00:00",
-          "1999-08-26T00:00:00",
-          "1999-08-27T00:00:00",
-          "1999-08-28T00:00:00",
-          "1999-08-29T00:00:00",
-          "1999-08-30T00:00:00",
-          "1999-08-31T00:00:00",
-          "1999-09-01T00:00:00",
-          "1999-09-02T00:00:00",
-          "1999-09-03T00:00:00",
-          "1999-09-04T00:00:00",
-          "1999-09-05T00:00:00",
-          "1999-09-06T00:00:00",
-          "1999-09-07T00:00:00",
-          "1999-09-08T00:00:00",
-          "1999-09-09T00:00:00",
-          "1999-09-10T00:00:00",
-          "1999-09-11T00:00:00",
-          "1999-09-12T00:00:00",
-          "1999-09-13T00:00:00",
-          "1999-09-14T00:00:00",
-          "1999-09-15T00:00:00",
-          "1999-09-16T00:00:00",
-          "1999-09-17T00:00:00",
-          "1999-09-18T00:00:00",
-          "1999-09-19T00:00:00",
-          "1999-09-20T00:00:00",
-          "1999-09-21T00:00:00",
-          "1999-09-22T00:00:00",
-          "1999-09-23T00:00:00",
-          "1999-09-24T00:00:00",
-          "1999-09-25T00:00:00",
-          "1999-09-26T00:00:00",
-          "1999-09-27T00:00:00",
-          "1999-09-28T00:00:00",
-          "1999-09-29T00:00:00",
-          "1999-09-30T00:00:00",
-          "1999-10-01T00:00:00",
-          "1999-10-02T00:00:00",
-          "1999-10-03T00:00:00",
-          "1999-10-04T00:00:00",
-          "1999-10-05T00:00:00",
-          "1999-10-06T00:00:00",
-          "1999-10-07T00:00:00",
-          "1999-10-08T00:00:00",
-          "1999-10-09T00:00:00",
-          "1999-10-10T00:00:00",
-          "1999-10-11T00:00:00",
-          "1999-10-12T00:00:00",
-          "1999-10-13T00:00:00",
-          "1999-10-14T00:00:00",
-          "1999-10-15T00:00:00",
-          "1999-10-16T00:00:00",
-          "1999-10-17T00:00:00",
-          "1999-10-18T00:00:00",
-          "1999-10-19T00:00:00",
-          "1999-10-20T00:00:00",
-          "1999-10-21T00:00:00",
-          "1999-10-22T00:00:00",
-          "1999-10-23T00:00:00",
-          "1999-10-24T00:00:00",
-          "1999-10-25T00:00:00",
-          "1999-10-26T00:00:00",
-          "1999-10-27T00:00:00",
-          "1999-10-28T00:00:00",
-          "1999-10-29T00:00:00",
-          "1999-10-30T00:00:00",
-          "1999-10-31T00:00:00",
-          "1999-11-01T00:00:00",
-          "1999-11-02T00:00:00",
-          "1999-11-03T00:00:00",
-          "1999-11-04T00:00:00",
-          "1999-11-05T00:00:00",
-          "1999-11-06T00:00:00",
-          "1999-11-07T00:00:00",
-          "1999-11-08T00:00:00",
-          "1999-11-09T00:00:00",
-          "1999-11-10T00:00:00",
-          "1999-11-11T00:00:00",
-          "1999-11-12T00:00:00",
-          "1999-11-13T00:00:00",
-          "1999-11-14T00:00:00",
-          "1999-11-15T00:00:00",
-          "1999-11-16T00:00:00",
-          "1999-11-17T00:00:00",
-          "1999-11-18T00:00:00",
-          "1999-11-19T00:00:00",
-          "1999-11-20T00:00:00",
-          "1999-11-21T00:00:00",
-          "1999-11-22T00:00:00",
-          "1999-11-23T00:00:00",
-          "1999-11-24T00:00:00",
-          "1999-11-25T00:00:00",
-          "1999-11-26T00:00:00",
-          "1999-11-27T00:00:00",
-          "1999-11-28T00:00:00",
-          "1999-11-29T00:00:00",
-          "1999-11-30T00:00:00",
-          "1999-12-01T00:00:00",
-          "1999-12-02T00:00:00",
-          "1999-12-03T00:00:00",
-          "1999-12-04T00:00:00",
-          "1999-12-05T00:00:00",
-          "1999-12-06T00:00:00",
-          "1999-12-07T00:00:00",
-          "1999-12-08T00:00:00",
-          "1999-12-09T00:00:00",
-          "1999-12-10T00:00:00",
-          "1999-12-11T00:00:00",
-          "1999-12-12T00:00:00",
-          "1999-12-13T00:00:00",
-          "1999-12-14T00:00:00",
-          "1999-12-15T00:00:00",
-          "1999-12-16T00:00:00",
-          "1999-12-17T00:00:00",
-          "1999-12-18T00:00:00",
-          "1999-12-19T00:00:00",
-          "1999-12-20T00:00:00",
-          "1999-12-21T00:00:00",
-          "1999-12-22T00:00:00",
-          "1999-12-23T00:00:00",
-          "1999-12-24T00:00:00",
-          "1999-12-25T00:00:00",
-          "1999-12-26T00:00:00",
-          "1999-12-27T00:00:00",
-          "1999-12-28T00:00:00",
-          "1999-12-29T00:00:00",
-          "1999-12-30T00:00:00",
-          "1999-12-31T00:00:00",
-          "2000-01-01T00:00:00",
-          "2000-01-02T00:00:00",
-          "2000-01-03T00:00:00",
-          "2000-01-04T00:00:00",
-          "2000-01-05T00:00:00",
-          "2000-01-06T00:00:00",
-          "2000-01-07T00:00:00",
-          "2000-01-08T00:00:00",
-          "2000-01-09T00:00:00",
-          "2000-01-10T00:00:00",
-          "2000-01-11T00:00:00",
-          "2000-01-12T00:00:00",
-          "2000-01-13T00:00:00",
-          "2000-01-14T00:00:00",
-          "2000-01-15T00:00:00",
-          "2000-01-16T00:00:00",
-          "2000-01-17T00:00:00",
-          "2000-01-18T00:00:00",
-          "2000-01-19T00:00:00",
-          "2000-01-20T00:00:00",
-          "2000-01-21T00:00:00",
-          "2000-01-22T00:00:00",
-          "2000-01-23T00:00:00",
-          "2000-01-24T00:00:00",
-          "2000-01-25T00:00:00",
-          "2000-01-26T00:00:00",
-          "2000-01-27T00:00:00",
-          "2000-01-28T00:00:00",
-          "2000-01-29T00:00:00",
-          "2000-01-30T00:00:00",
-          "2000-01-31T00:00:00",
-          "2000-02-01T00:00:00",
-          "2000-02-02T00:00:00",
-          "2000-02-03T00:00:00",
-          "2000-02-04T00:00:00",
-          "2000-02-05T00:00:00",
-          "2000-02-06T00:00:00",
-          "2000-02-07T00:00:00",
-          "2000-02-08T00:00:00",
-          "2000-02-09T00:00:00",
-          "2000-02-10T00:00:00",
-          "2000-02-11T00:00:00",
-          "2000-02-12T00:00:00",
-          "2000-02-13T00:00:00",
-          "2000-02-14T00:00:00",
-          "2000-02-15T00:00:00",
-          "2000-02-16T00:00:00",
-          "2000-02-17T00:00:00",
-          "2000-02-18T00:00:00",
-          "2000-02-19T00:00:00",
-          "2000-02-20T00:00:00",
-          "2000-02-21T00:00:00",
-          "2000-02-22T00:00:00",
-          "2000-02-23T00:00:00",
-          "2000-02-24T00:00:00",
-          "2000-02-25T00:00:00",
-          "2000-02-26T00:00:00",
-          "2000-02-27T00:00:00",
-          "2000-02-28T00:00:00",
-          "2000-02-29T00:00:00",
-          "2000-03-01T00:00:00",
-          "2000-03-02T00:00:00",
-          "2000-03-03T00:00:00",
-          "2000-03-04T00:00:00",
-          "2000-03-05T00:00:00",
-          "2000-03-06T00:00:00",
-          "2000-03-07T00:00:00",
-          "2000-03-08T00:00:00",
-          "2000-03-09T00:00:00",
-          "2000-03-10T00:00:00",
-          "2000-03-11T00:00:00",
-          "2000-03-12T00:00:00",
-          "2000-03-13T00:00:00",
-          "2000-03-14T00:00:00",
-          "2000-03-15T00:00:00",
-          "2000-03-16T00:00:00",
-          "2000-03-17T00:00:00",
-          "2000-03-18T00:00:00",
-          "2000-03-19T00:00:00",
-          "2000-03-20T00:00:00",
-          "2000-03-21T00:00:00",
-          "2000-03-22T00:00:00",
-          "2000-03-23T00:00:00",
-          "2000-03-24T00:00:00",
-          "2000-03-25T00:00:00",
-          "2000-03-26T00:00:00",
-          "2000-03-27T00:00:00",
-          "2000-03-28T00:00:00",
-          "2000-03-29T00:00:00",
-          "2000-03-30T00:00:00",
-          "2000-03-31T00:00:00",
-          "2000-04-01T00:00:00",
-          "2000-04-02T00:00:00",
-          "2000-04-03T00:00:00",
-          "2000-04-04T00:00:00",
-          "2000-04-05T00:00:00",
-          "2000-04-06T00:00:00",
-          "2000-04-07T00:00:00",
-          "2000-04-08T00:00:00",
-          "2000-04-09T00:00:00",
-          "2000-04-10T00:00:00",
-          "2000-04-11T00:00:00",
-          "2000-04-12T00:00:00",
-          "2000-04-13T00:00:00",
-          "2000-04-14T00:00:00",
-          "2000-04-15T00:00:00",
-          "2000-04-16T00:00:00",
-          "2000-04-17T00:00:00",
-          "2000-04-18T00:00:00",
-          "2000-04-19T00:00:00",
-          "2000-04-20T00:00:00",
-          "2000-04-21T00:00:00",
-          "2000-04-22T00:00:00",
-          "2000-04-23T00:00:00",
-          "2000-04-24T00:00:00",
-          "2000-04-25T00:00:00",
-          "2000-04-26T00:00:00",
-          "2000-04-27T00:00:00",
-          "2000-04-28T00:00:00",
-          "2000-04-29T00:00:00",
-          "2000-04-30T00:00:00",
-          "2000-05-01T00:00:00",
-          "2000-05-02T00:00:00",
-          "2000-05-03T00:00:00",
-          "2000-05-04T00:00:00",
-          "2000-05-05T00:00:00",
-          "2000-05-06T00:00:00",
-          "2000-05-07T00:00:00",
-          "2000-05-08T00:00:00",
-          "2000-05-09T00:00:00",
-          "2000-05-10T00:00:00",
-          "2000-05-11T00:00:00",
-          "2000-05-12T00:00:00",
-          "2000-05-13T00:00:00",
-          "2000-05-14T00:00:00",
-          "2000-05-15T00:00:00",
-          "2000-05-16T00:00:00",
-          "2000-05-17T00:00:00",
-          "2000-05-18T00:00:00",
-          "2000-05-19T00:00:00",
-          "2000-05-20T00:00:00",
-          "2000-05-21T00:00:00",
-          "2000-05-22T00:00:00",
-          "2000-05-23T00:00:00",
-          "2000-05-24T00:00:00",
-          "2000-05-25T00:00:00",
-          "2000-05-26T00:00:00",
-          "2000-05-27T00:00:00",
-          "2000-05-28T00:00:00",
-          "2000-05-29T00:00:00",
-          "2000-05-30T00:00:00",
-          "2000-05-31T00:00:00",
-          "2000-06-01T00:00:00",
-          "2000-06-02T00:00:00",
-          "2000-06-03T00:00:00",
-          "2000-06-04T00:00:00",
-          "2000-06-05T00:00:00",
-          "2000-06-06T00:00:00",
-          "2000-06-07T00:00:00",
-          "2000-06-08T00:00:00",
-          "2000-06-09T00:00:00",
-          "2000-06-10T00:00:00",
-          "2000-06-11T00:00:00",
-          "2000-06-12T00:00:00",
-          "2000-06-13T00:00:00",
-          "2000-06-14T00:00:00",
-          "2000-06-15T00:00:00",
-          "2000-06-16T00:00:00",
-          "2000-06-17T00:00:00",
-          "2000-06-18T00:00:00",
-          "2000-06-19T00:00:00",
-          "2000-06-20T00:00:00",
-          "2000-06-21T00:00:00",
-          "2000-06-22T00:00:00",
-          "2000-06-23T00:00:00",
-          "2000-06-24T00:00:00",
-          "2000-06-25T00:00:00",
-          "2000-06-26T00:00:00",
-          "2000-06-27T00:00:00",
-          "2000-06-28T00:00:00",
-          "2000-06-29T00:00:00",
-          "2000-06-30T00:00:00",
-          "2000-07-01T00:00:00",
-          "2000-07-02T00:00:00",
-          "2000-07-03T00:00:00",
-          "2000-07-04T00:00:00",
-          "2000-07-05T00:00:00",
-          "2000-07-06T00:00:00",
-          "2000-07-07T00:00:00",
-          "2000-07-08T00:00:00",
-          "2000-07-09T00:00:00",
-          "2000-07-10T00:00:00",
-          "2000-07-11T00:00:00",
-          "2000-07-12T00:00:00",
-          "2000-07-13T00:00:00",
-          "2000-07-14T00:00:00",
-          "2000-07-15T00:00:00",
-          "2000-07-16T00:00:00",
-          "2000-07-17T00:00:00",
-          "2000-07-18T00:00:00",
-          "2000-07-19T00:00:00",
-          "2000-07-20T00:00:00",
-          "2000-07-21T00:00:00",
-          "2000-07-22T00:00:00",
-          "2000-07-23T00:00:00",
-          "2000-07-24T00:00:00",
-          "2000-07-25T00:00:00",
-          "2000-07-26T00:00:00",
-          "2000-07-27T00:00:00",
-          "2000-07-28T00:00:00",
-          "2000-07-29T00:00:00",
-          "2000-07-30T00:00:00",
-          "2000-07-31T00:00:00",
-          "2000-08-01T00:00:00",
-          "2000-08-02T00:00:00",
-          "2000-08-03T00:00:00",
-          "2000-08-04T00:00:00",
-          "2000-08-05T00:00:00",
-          "2000-08-06T00:00:00",
-          "2000-08-07T00:00:00",
-          "2000-08-08T00:00:00",
-          "2000-08-09T00:00:00",
-          "2000-08-10T00:00:00",
-          "2000-08-11T00:00:00",
-          "2000-08-12T00:00:00",
-          "2000-08-13T00:00:00",
-          "2000-08-14T00:00:00",
-          "2000-08-15T00:00:00",
-          "2000-08-16T00:00:00",
-          "2000-08-17T00:00:00",
-          "2000-08-18T00:00:00",
-          "2000-08-19T00:00:00",
-          "2000-08-20T00:00:00",
-          "2000-08-21T00:00:00",
-          "2000-08-22T00:00:00",
-          "2000-08-23T00:00:00",
-          "2000-08-24T00:00:00",
-          "2000-08-25T00:00:00",
-          "2000-08-26T00:00:00",
-          "2000-08-27T00:00:00",
-          "2000-08-28T00:00:00",
-          "2000-08-29T00:00:00",
-          "2000-08-30T00:00:00",
-          "2000-08-31T00:00:00",
-          "2000-09-01T00:00:00",
-          "2000-09-02T00:00:00",
-          "2000-09-03T00:00:00",
-          "2000-09-04T00:00:00",
-          "2000-09-05T00:00:00",
-          "2000-09-06T00:00:00",
-          "2000-09-07T00:00:00",
-          "2000-09-08T00:00:00",
-          "2000-09-09T00:00:00",
-          "2000-09-10T00:00:00",
-          "2000-09-11T00:00:00",
-          "2000-09-12T00:00:00",
-          "2000-09-13T00:00:00",
-          "2000-09-14T00:00:00",
-          "2000-09-15T00:00:00",
-          "2000-09-16T00:00:00",
-          "2000-09-17T00:00:00",
-          "2000-09-18T00:00:00",
-          "2000-09-19T00:00:00",
-          "2000-09-20T00:00:00",
-          "2000-09-21T00:00:00",
-          "2000-09-22T00:00:00",
-          "2000-09-23T00:00:00",
-          "2000-09-24T00:00:00",
-          "2000-09-25T00:00:00",
-          "2000-09-26T00:00:00",
-          "2000-09-27T00:00:00",
-          "2000-09-28T00:00:00",
-          "2000-09-29T00:00:00",
-          "2000-09-30T00:00:00",
-          "2000-10-01T00:00:00",
-          "2000-10-02T00:00:00",
-          "2000-10-03T00:00:00",
-          "2000-10-04T00:00:00",
-          "2000-10-05T00:00:00",
-          "2000-10-06T00:00:00",
-          "2000-10-07T00:00:00",
-          "2000-10-08T00:00:00",
-          "2000-10-09T00:00:00",
-          "2000-10-10T00:00:00",
-          "2000-10-11T00:00:00",
-          "2000-10-12T00:00:00",
-          "2000-10-13T00:00:00",
-          "2000-10-14T00:00:00",
-          "2000-10-15T00:00:00",
-          "2000-10-16T00:00:00",
-          "2000-10-17T00:00:00",
-          "2000-10-18T00:00:00",
-          "2000-10-19T00:00:00",
-          "2000-10-20T00:00:00",
-          "2000-10-21T00:00:00",
-          "2000-10-22T00:00:00",
-          "2000-10-23T00:00:00",
-          "2000-10-24T00:00:00",
-          "2000-10-25T00:00:00",
-          "2000-10-26T00:00:00",
-          "2000-10-27T00:00:00",
-          "2000-10-28T00:00:00",
-          "2000-10-29T00:00:00",
-          "2000-10-30T00:00:00",
-          "2000-10-31T00:00:00",
-          "2000-11-01T00:00:00",
-          "2000-11-02T00:00:00",
-          "2000-11-03T00:00:00",
-          "2000-11-04T00:00:00",
-          "2000-11-05T00:00:00",
-          "2000-11-06T00:00:00",
-          "2000-11-07T00:00:00",
-          "2000-11-08T00:00:00",
-          "2000-11-09T00:00:00",
-          "2000-11-10T00:00:00",
-          "2000-11-11T00:00:00",
-          "2000-11-12T00:00:00",
-          "2000-11-13T00:00:00",
-          "2000-11-14T00:00:00",
-          "2000-11-15T00:00:00",
-          "2000-11-16T00:00:00",
-          "2000-11-17T00:00:00",
-          "2000-11-18T00:00:00",
-          "2000-11-19T00:00:00",
-          "2000-11-20T00:00:00",
-          "2000-11-21T00:00:00",
-          "2000-11-22T00:00:00",
-          "2000-11-23T00:00:00",
-          "2000-11-24T00:00:00",
-          "2000-11-25T00:00:00",
-          "2000-11-26T00:00:00",
-          "2000-11-27T00:00:00",
-          "2000-11-28T00:00:00",
-          "2000-11-29T00:00:00",
-          "2000-11-30T00:00:00",
-          "2000-12-01T00:00:00",
-          "2000-12-02T00:00:00",
-          "2000-12-03T00:00:00",
-          "2000-12-04T00:00:00",
-          "2000-12-05T00:00:00",
-          "2000-12-06T00:00:00",
-          "2000-12-07T00:00:00",
-          "2000-12-08T00:00:00",
-          "2000-12-09T00:00:00",
-          "2000-12-10T00:00:00",
-          "2000-12-11T00:00:00",
-          "2000-12-12T00:00:00",
-          "2000-12-13T00:00:00",
-          "2000-12-14T00:00:00",
-          "2000-12-15T00:00:00",
-          "2000-12-16T00:00:00",
-          "2000-12-17T00:00:00",
-          "2000-12-18T00:00:00",
-          "2000-12-19T00:00:00",
-          "2000-12-20T00:00:00",
-          "2000-12-21T00:00:00",
-          "2000-12-22T00:00:00",
-          "2000-12-23T00:00:00",
-          "2000-12-24T00:00:00",
-          "2000-12-25T00:00:00",
-          "2000-12-26T00:00:00",
-          "2000-12-27T00:00:00",
-          "2000-12-28T00:00:00",
-          "2000-12-29T00:00:00",
-          "2000-12-30T00:00:00",
-          "2000-12-31T00:00:00",
-          "2001-01-01T00:00:00",
-          "2001-01-02T00:00:00",
-          "2001-01-03T00:00:00",
-          "2001-01-04T00:00:00",
-          "2001-01-05T00:00:00",
-          "2001-01-06T00:00:00",
-          "2001-01-07T00:00:00",
-          "2001-01-08T00:00:00",
-          "2001-01-09T00:00:00",
-          "2001-01-10T00:00:00",
-          "2001-01-11T00:00:00",
-          "2001-01-12T00:00:00",
-          "2001-01-13T00:00:00",
-          "2001-01-14T00:00:00",
-          "2001-01-15T00:00:00",
-          "2001-01-16T00:00:00",
-          "2001-01-17T00:00:00",
-          "2001-01-18T00:00:00",
-          "2001-01-19T00:00:00",
-          "2001-01-20T00:00:00",
-          "2001-01-21T00:00:00",
-          "2001-01-22T00:00:00",
-          "2001-01-23T00:00:00",
-          "2001-01-24T00:00:00",
-          "2001-01-25T00:00:00",
-          "2001-01-26T00:00:00",
-          "2001-01-27T00:00:00",
-          "2001-01-28T00:00:00",
-          "2001-01-29T00:00:00",
-          "2001-01-30T00:00:00",
-          "2001-01-31T00:00:00",
-          "2001-02-01T00:00:00",
-          "2001-02-02T00:00:00",
-          "2001-02-03T00:00:00",
-          "2001-02-04T00:00:00",
-          "2001-02-05T00:00:00",
-          "2001-02-06T00:00:00",
-          "2001-02-07T00:00:00",
-          "2001-02-08T00:00:00",
-          "2001-02-09T00:00:00",
-          "2001-02-10T00:00:00",
-          "2001-02-11T00:00:00",
-          "2001-02-12T00:00:00",
-          "2001-02-13T00:00:00",
-          "2001-02-14T00:00:00",
-          "2001-02-15T00:00:00",
-          "2001-02-16T00:00:00",
-          "2001-02-17T00:00:00",
-          "2001-02-18T00:00:00",
-          "2001-02-19T00:00:00",
-          "2001-02-20T00:00:00",
-          "2001-02-21T00:00:00",
-          "2001-02-22T00:00:00",
-          "2001-02-23T00:00:00",
-          "2001-02-24T00:00:00",
-          "2001-02-25T00:00:00",
-          "2001-02-26T00:00:00",
-          "2001-02-27T00:00:00",
-          "2001-02-28T00:00:00",
-          "2001-03-01T00:00:00",
-          "2001-03-02T00:00:00",
-          "2001-03-03T00:00:00",
-          "2001-03-04T00:00:00",
-          "2001-03-05T00:00:00",
-          "2001-03-06T00:00:00",
-          "2001-03-07T00:00:00",
-          "2001-03-08T00:00:00",
-          "2001-03-09T00:00:00",
-          "2001-03-10T00:00:00",
-          "2001-03-11T00:00:00",
-          "2001-03-12T00:00:00",
-          "2001-03-13T00:00:00",
-          "2001-03-14T00:00:00",
-          "2001-03-15T00:00:00",
-          "2001-03-16T00:00:00",
-          "2001-03-17T00:00:00",
-          "2001-03-18T00:00:00",
-          "2001-03-19T00:00:00",
-          "2001-03-20T00:00:00",
-          "2001-03-21T00:00:00",
-          "2001-03-22T00:00:00",
-          "2001-03-23T00:00:00",
-          "2001-03-24T00:00:00",
-          "2001-03-25T00:00:00",
-          "2001-03-26T00:00:00",
-          "2001-03-27T00:00:00",
-          "2001-03-28T00:00:00",
-          "2001-03-29T00:00:00",
-          "2001-03-30T00:00:00",
-          "2001-03-31T00:00:00",
-          "2001-04-01T00:00:00",
-          "2001-04-02T00:00:00",
-          "2001-04-03T00:00:00",
-          "2001-04-04T00:00:00",
-          "2001-04-05T00:00:00",
-          "2001-04-06T00:00:00",
-          "2001-04-07T00:00:00",
-          "2001-04-08T00:00:00",
-          "2001-04-09T00:00:00",
-          "2001-04-10T00:00:00",
-          "2001-04-11T00:00:00",
-          "2001-04-12T00:00:00",
-          "2001-04-13T00:00:00",
-          "2001-04-14T00:00:00",
-          "2001-04-15T00:00:00",
-          "2001-04-16T00:00:00",
-          "2001-04-17T00:00:00",
-          "2001-04-18T00:00:00",
-          "2001-04-19T00:00:00",
-          "2001-04-20T00:00:00",
-          "2001-04-21T00:00:00",
-          "2001-04-22T00:00:00",
-          "2001-04-23T00:00:00",
-          "2001-04-24T00:00:00",
-          "2001-04-25T00:00:00",
-          "2001-04-26T00:00:00",
-          "2001-04-27T00:00:00",
-          "2001-04-28T00:00:00",
-          "2001-04-29T00:00:00",
-          "2001-04-30T00:00:00",
-          "2001-05-01T00:00:00",
-          "2001-05-02T00:00:00",
-          "2001-05-03T00:00:00",
-          "2001-05-04T00:00:00",
-          "2001-05-05T00:00:00",
-          "2001-05-06T00:00:00",
-          "2001-05-07T00:00:00",
-          "2001-05-08T00:00:00",
-          "2001-05-09T00:00:00",
-          "2001-05-10T00:00:00",
-          "2001-05-11T00:00:00",
-          "2001-05-12T00:00:00",
-          "2001-05-13T00:00:00",
-          "2001-05-14T00:00:00",
-          "2001-05-15T00:00:00",
-          "2001-05-16T00:00:00",
-          "2001-05-17T00:00:00",
-          "2001-05-18T00:00:00",
-          "2001-05-19T00:00:00",
-          "2001-05-20T00:00:00",
-          "2001-05-21T00:00:00",
-          "2001-05-22T00:00:00",
-          "2001-05-23T00:00:00",
-          "2001-05-24T00:00:00",
-          "2001-05-25T00:00:00",
-          "2001-05-26T00:00:00",
-          "2001-05-27T00:00:00",
-          "2001-05-28T00:00:00",
-          "2001-05-29T00:00:00",
-          "2001-05-30T00:00:00",
-          "2001-05-31T00:00:00",
-          "2001-06-01T00:00:00",
-          "2001-06-02T00:00:00",
-          "2001-06-03T00:00:00",
-          "2001-06-04T00:00:00",
-          "2001-06-05T00:00:00",
-          "2001-06-06T00:00:00",
-          "2001-06-07T00:00:00",
-          "2001-06-08T00:00:00",
-          "2001-06-09T00:00:00",
-          "2001-06-10T00:00:00",
-          "2001-06-11T00:00:00",
-          "2001-06-12T00:00:00",
-          "2001-06-13T00:00:00",
-          "2001-06-14T00:00:00",
-          "2001-06-15T00:00:00",
-          "2001-06-16T00:00:00",
-          "2001-06-17T00:00:00",
-          "2001-06-18T00:00:00",
-          "2001-06-19T00:00:00",
-          "2001-06-20T00:00:00",
-          "2001-06-21T00:00:00",
-          "2001-06-22T00:00:00",
-          "2001-06-23T00:00:00",
-          "2001-06-24T00:00:00",
-          "2001-06-25T00:00:00",
-          "2001-06-26T00:00:00",
-          "2001-06-27T00:00:00",
-          "2001-06-28T00:00:00",
-          "2001-06-29T00:00:00",
-          "2001-06-30T00:00:00",
-          "2001-07-01T00:00:00",
-          "2001-07-02T00:00:00",
-          "2001-07-03T00:00:00",
-          "2001-07-04T00:00:00",
-          "2001-07-05T00:00:00",
-          "2001-07-06T00:00:00",
-          "2001-07-07T00:00:00",
-          "2001-07-08T00:00:00",
-          "2001-07-09T00:00:00",
-          "2001-07-10T00:00:00",
-          "2001-07-11T00:00:00",
-          "2001-07-12T00:00:00",
-          "2001-07-13T00:00:00",
-          "2001-07-14T00:00:00",
-          "2001-07-15T00:00:00",
-          "2001-07-16T00:00:00",
-          "2001-07-17T00:00:00",
-          "2001-07-18T00:00:00",
-          "2001-07-19T00:00:00",
-          "2001-07-20T00:00:00",
-          "2001-07-21T00:00:00",
-          "2001-07-22T00:00:00",
-          "2001-07-23T00:00:00",
-          "2001-07-24T00:00:00",
-          "2001-07-25T00:00:00",
-          "2001-07-26T00:00:00",
-          "2001-07-27T00:00:00",
-          "2001-07-28T00:00:00",
-          "2001-07-29T00:00:00",
-          "2001-07-30T00:00:00",
-          "2001-07-31T00:00:00",
-          "2001-08-01T00:00:00",
-          "2001-08-02T00:00:00",
-          "2001-08-03T00:00:00",
-          "2001-08-04T00:00:00",
-          "2001-08-05T00:00:00",
-          "2001-08-06T00:00:00",
-          "2001-08-07T00:00:00",
-          "2001-08-08T00:00:00",
-          "2001-08-09T00:00:00",
-          "2001-08-10T00:00:00",
-          "2001-08-11T00:00:00",
-          "2001-08-12T00:00:00",
-          "2001-08-13T00:00:00",
-          "2001-08-14T00:00:00",
-          "2001-08-15T00:00:00",
-          "2001-08-16T00:00:00",
-          "2001-08-17T00:00:00",
-          "2001-08-18T00:00:00",
-          "2001-08-19T00:00:00",
-          "2001-08-20T00:00:00",
-          "2001-08-21T00:00:00",
-          "2001-08-22T00:00:00",
-          "2001-08-23T00:00:00",
-          "2001-08-24T00:00:00",
-          "2001-08-25T00:00:00",
-          "2001-08-26T00:00:00",
-          "2001-08-27T00:00:00",
-          "2001-08-28T00:00:00",
-          "2001-08-29T00:00:00",
-          "2001-08-30T00:00:00",
-          "2001-08-31T00:00:00",
-          "2001-09-01T00:00:00",
-          "2001-09-02T00:00:00",
-          "2001-09-03T00:00:00",
-          "2001-09-04T00:00:00",
-          "2001-09-05T00:00:00",
-          "2001-09-06T00:00:00",
-          "2001-09-07T00:00:00",
-          "2001-09-08T00:00:00",
-          "2001-09-09T00:00:00",
-          "2001-09-10T00:00:00",
-          "2001-09-11T00:00:00",
-          "2001-09-12T00:00:00",
-          "2001-09-13T00:00:00",
-          "2001-09-14T00:00:00",
-          "2001-09-15T00:00:00",
-          "2001-09-16T00:00:00",
-          "2001-09-17T00:00:00",
-          "2001-09-18T00:00:00",
-          "2001-09-19T00:00:00",
-          "2001-09-20T00:00:00",
-          "2001-09-21T00:00:00",
-          "2001-09-22T00:00:00",
-          "2001-09-23T00:00:00",
-          "2001-09-24T00:00:00",
-          "2001-09-25T00:00:00",
-          "2001-09-26T00:00:00",
-          "2001-09-27T00:00:00",
-          "2001-09-28T00:00:00",
-          "2001-09-29T00:00:00",
-          "2001-09-30T00:00:00",
-          "2001-10-01T00:00:00",
-          "2001-10-02T00:00:00",
-          "2001-10-03T00:00:00",
-          "2001-10-04T00:00:00",
-          "2001-10-05T00:00:00",
-          "2001-10-06T00:00:00",
-          "2001-10-07T00:00:00",
-          "2001-10-08T00:00:00",
-          "2001-10-09T00:00:00",
-          "2001-10-10T00:00:00",
-          "2001-10-11T00:00:00",
-          "2001-10-12T00:00:00",
-          "2001-10-13T00:00:00",
-          "2001-10-14T00:00:00",
-          "2001-10-15T00:00:00",
-          "2001-10-16T00:00:00",
-          "2001-10-17T00:00:00",
-          "2001-10-18T00:00:00",
-          "2001-10-19T00:00:00",
-          "2001-10-20T00:00:00",
-          "2001-10-21T00:00:00",
-          "2001-10-22T00:00:00",
-          "2001-10-23T00:00:00",
-          "2001-10-24T00:00:00",
-          "2001-10-25T00:00:00",
-          "2001-10-26T00:00:00",
-          "2001-10-27T00:00:00",
-          "2001-10-28T00:00:00",
-          "2001-10-29T00:00:00",
-          "2001-10-30T00:00:00",
-          "2001-10-31T00:00:00",
-          "2001-11-01T00:00:00",
-          "2001-11-02T00:00:00",
-          "2001-11-03T00:00:00",
-          "2001-11-04T00:00:00",
-          "2001-11-05T00:00:00",
-          "2001-11-06T00:00:00",
-          "2001-11-07T00:00:00",
-          "2001-11-08T00:00:00",
-          "2001-11-09T00:00:00",
-          "2001-11-10T00:00:00",
-          "2001-11-11T00:00:00",
-          "2001-11-12T00:00:00",
-          "2001-11-13T00:00:00",
-          "2001-11-14T00:00:00",
-          "2001-11-15T00:00:00",
-          "2001-11-16T00:00:00",
-          "2001-11-17T00:00:00",
-          "2001-11-18T00:00:00",
-          "2001-11-19T00:00:00",
-          "2001-11-20T00:00:00",
-          "2001-11-21T00:00:00",
-          "2001-11-22T00:00:00",
-          "2001-11-23T00:00:00",
-          "2001-11-24T00:00:00",
-          "2001-11-25T00:00:00",
-          "2001-11-26T00:00:00",
-          "2001-11-27T00:00:00",
-          "2001-11-28T00:00:00",
-          "2001-11-29T00:00:00",
-          "2001-11-30T00:00:00",
-          "2001-12-01T00:00:00",
-          "2001-12-02T00:00:00",
-          "2001-12-03T00:00:00",
-          "2001-12-04T00:00:00",
-          "2001-12-05T00:00:00",
-          "2001-12-06T00:00:00",
-          "2001-12-07T00:00:00",
-          "2001-12-08T00:00:00",
-          "2001-12-09T00:00:00",
-          "2001-12-10T00:00:00",
-          "2001-12-11T00:00:00",
-          "2001-12-12T00:00:00",
-          "2001-12-13T00:00:00",
-          "2001-12-14T00:00:00",
-          "2001-12-15T00:00:00",
-          "2001-12-16T00:00:00",
-          "2001-12-17T00:00:00",
-          "2001-12-18T00:00:00",
-          "2001-12-19T00:00:00",
-          "2001-12-20T00:00:00",
-          "2001-12-21T00:00:00",
-          "2001-12-22T00:00:00",
-          "2001-12-23T00:00:00",
-          "2001-12-24T00:00:00",
-          "2001-12-25T00:00:00",
-          "2001-12-26T00:00:00",
-          "2001-12-27T00:00:00",
-          "2001-12-28T00:00:00",
-          "2001-12-29T00:00:00",
-          "2001-12-30T00:00:00",
-          "2001-12-31T00:00:00",
-          "2002-01-01T00:00:00",
-          "2002-01-02T00:00:00",
-          "2002-01-03T00:00:00",
-          "2002-01-04T00:00:00",
-          "2002-01-05T00:00:00",
-          "2002-01-06T00:00:00",
-          "2002-01-07T00:00:00",
-          "2002-01-08T00:00:00",
-          "2002-01-09T00:00:00",
-          "2002-01-10T00:00:00",
-          "2002-01-11T00:00:00",
-          "2002-01-12T00:00:00",
-          "2002-01-13T00:00:00",
-          "2002-01-14T00:00:00",
-          "2002-01-15T00:00:00",
-          "2002-01-16T00:00:00",
-          "2002-01-17T00:00:00",
-          "2002-01-18T00:00:00",
-          "2002-01-19T00:00:00",
-          "2002-01-20T00:00:00",
-          "2002-01-21T00:00:00",
-          "2002-01-22T00:00:00",
-          "2002-01-23T00:00:00",
-          "2002-01-24T00:00:00",
-          "2002-01-25T00:00:00",
-          "2002-01-26T00:00:00",
-          "2002-01-27T00:00:00",
-          "2002-01-28T00:00:00",
-          "2002-01-29T00:00:00",
-          "2002-01-30T00:00:00",
-          "2002-01-31T00:00:00",
-          "2002-02-01T00:00:00",
-          "2002-02-02T00:00:00",
-          "2002-02-03T00:00:00",
-          "2002-02-04T00:00:00",
-          "2002-02-05T00:00:00",
-          "2002-02-06T00:00:00",
-          "2002-02-07T00:00:00",
-          "2002-02-08T00:00:00",
-          "2002-02-09T00:00:00",
-          "2002-02-10T00:00:00",
-          "2002-02-11T00:00:00",
-          "2002-02-12T00:00:00",
-          "2002-02-13T00:00:00",
-          "2002-02-14T00:00:00",
-          "2002-02-15T00:00:00",
-          "2002-02-16T00:00:00",
-          "2002-02-17T00:00:00",
-          "2002-02-18T00:00:00",
-          "2002-02-19T00:00:00",
-          "2002-02-20T00:00:00",
-          "2002-02-21T00:00:00",
-          "2002-02-22T00:00:00",
-          "2002-02-23T00:00:00",
-          "2002-02-24T00:00:00",
-          "2002-02-25T00:00:00",
-          "2002-02-26T00:00:00",
-          "2002-02-27T00:00:00",
-          "2002-02-28T00:00:00",
-          "2002-03-01T00:00:00",
-          "2002-03-02T00:00:00",
-          "2002-03-03T00:00:00",
-          "2002-03-04T00:00:00",
-          "2002-03-05T00:00:00",
-          "2002-03-06T00:00:00",
-          "2002-03-07T00:00:00",
-          "2002-03-08T00:00:00",
-          "2002-03-09T00:00:00",
-          "2002-03-10T00:00:00",
-          "2002-03-11T00:00:00",
-          "2002-03-12T00:00:00",
-          "2002-03-13T00:00:00",
-          "2002-03-14T00:00:00",
-          "2002-03-15T00:00:00",
-          "2002-03-16T00:00:00",
-          "2002-03-17T00:00:00",
-          "2002-03-18T00:00:00",
-          "2002-03-19T00:00:00",
-          "2002-03-20T00:00:00",
-          "2002-03-21T00:00:00",
-          "2002-03-22T00:00:00",
-          "2002-03-23T00:00:00",
-          "2002-03-24T00:00:00",
-          "2002-03-25T00:00:00",
-          "2002-03-26T00:00:00",
-          "2002-03-27T00:00:00",
-          "2002-03-28T00:00:00",
-          "2002-03-29T00:00:00",
-          "2002-03-30T00:00:00",
-          "2002-03-31T00:00:00",
-          "2002-04-01T00:00:00",
-          "2002-04-02T00:00:00",
-          "2002-04-03T00:00:00",
-          "2002-04-04T00:00:00",
-          "2002-04-05T00:00:00",
-          "2002-04-06T00:00:00",
-          "2002-04-07T00:00:00",
-          "2002-04-08T00:00:00",
-          "2002-04-09T00:00:00",
-          "2002-04-10T00:00:00",
-          "2002-04-11T00:00:00",
-          "2002-04-12T00:00:00",
-          "2002-04-13T00:00:00",
-          "2002-04-14T00:00:00",
-          "2002-04-15T00:00:00",
-          "2002-04-16T00:00:00",
-          "2002-04-17T00:00:00",
-          "2002-04-18T00:00:00",
-          "2002-04-19T00:00:00",
-          "2002-04-20T00:00:00",
-          "2002-04-21T00:00:00",
-          "2002-04-22T00:00:00",
-          "2002-04-23T00:00:00",
-          "2002-04-24T00:00:00",
-          "2002-04-25T00:00:00",
-          "2002-04-26T00:00:00",
-          "2002-04-27T00:00:00",
-          "2002-04-28T00:00:00",
-          "2002-04-29T00:00:00",
-          "2002-04-30T00:00:00",
-          "2002-05-01T00:00:00",
-          "2002-05-02T00:00:00",
-          "2002-05-03T00:00:00",
-          "2002-05-04T00:00:00",
-          "2002-05-05T00:00:00",
-          "2002-05-06T00:00:00",
-          "2002-05-07T00:00:00",
-          "2002-05-08T00:00:00",
-          "2002-05-09T00:00:00",
-          "2002-05-10T00:00:00",
-          "2002-05-11T00:00:00",
-          "2002-05-12T00:00:00",
-          "2002-05-13T00:00:00",
-          "2002-05-14T00:00:00",
-          "2002-05-15T00:00:00",
-          "2002-05-16T00:00:00",
-          "2002-05-17T00:00:00",
-          "2002-05-18T00:00:00",
-          "2002-05-19T00:00:00",
-          "2002-05-20T00:00:00",
-          "2002-05-21T00:00:00",
-          "2002-05-22T00:00:00",
-          "2002-05-23T00:00:00",
-          "2002-05-24T00:00:00",
-          "2002-05-25T00:00:00",
-          "2002-05-26T00:00:00",
-          "2002-05-27T00:00:00",
-          "2002-05-28T00:00:00",
-          "2002-05-29T00:00:00",
-          "2002-05-30T00:00:00",
-          "2002-05-31T00:00:00",
-          "2002-06-01T00:00:00",
-          "2002-06-02T00:00:00",
-          "2002-06-03T00:00:00",
-          "2002-06-04T00:00:00",
-          "2002-06-05T00:00:00",
-          "2002-06-06T00:00:00",
-          "2002-06-07T00:00:00",
-          "2002-06-08T00:00:00",
-          "2002-06-09T00:00:00",
-          "2002-06-10T00:00:00",
-          "2002-06-11T00:00:00",
-          "2002-06-12T00:00:00",
-          "2002-06-13T00:00:00",
-          "2002-06-14T00:00:00",
-          "2002-06-15T00:00:00",
-          "2002-06-16T00:00:00",
-          "2002-06-17T00:00:00",
-          "2002-06-18T00:00:00",
-          "2002-06-19T00:00:00",
-          "2002-06-20T00:00:00",
-          "2002-06-21T00:00:00",
-          "2002-06-22T00:00:00",
-          "2002-06-23T00:00:00",
-          "2002-06-24T00:00:00",
-          "2002-06-25T00:00:00",
-          "2002-06-26T00:00:00",
-          "2002-06-27T00:00:00",
-          "2002-06-28T00:00:00",
-          "2002-06-29T00:00:00",
-          "2002-06-30T00:00:00",
-          "2002-07-01T00:00:00",
-          "2002-07-02T00:00:00",
-          "2002-07-03T00:00:00",
-          "2002-07-04T00:00:00",
-          "2002-07-05T00:00:00",
-          "2002-07-06T00:00:00",
-          "2002-07-07T00:00:00",
-          "2002-07-08T00:00:00",
-          "2002-07-09T00:00:00",
-          "2002-07-10T00:00:00",
-          "2002-07-11T00:00:00",
-          "2002-07-12T00:00:00",
-          "2002-07-13T00:00:00",
-          "2002-07-14T00:00:00",
-          "2002-07-15T00:00:00",
-          "2002-07-16T00:00:00",
-          "2002-07-17T00:00:00",
-          "2002-07-18T00:00:00",
-          "2002-07-19T00:00:00",
-          "2002-07-20T00:00:00",
-          "2002-07-21T00:00:00",
-          "2002-07-22T00:00:00",
-          "2002-07-23T00:00:00",
-          "2002-07-24T00:00:00",
-          "2002-07-25T00:00:00",
-          "2002-07-26T00:00:00",
-          "2002-07-27T00:00:00",
-          "2002-07-28T00:00:00",
-          "2002-07-29T00:00:00",
-          "2002-07-30T00:00:00",
-          "2002-07-31T00:00:00",
-          "2002-08-01T00:00:00",
-          "2002-08-02T00:00:00",
-          "2002-08-03T00:00:00",
-          "2002-08-04T00:00:00",
-          "2002-08-05T00:00:00",
-          "2002-08-06T00:00:00",
-          "2002-08-07T00:00:00",
-          "2002-08-08T00:00:00",
-          "2002-08-09T00:00:00",
-          "2002-08-10T00:00:00",
-          "2002-08-11T00:00:00",
-          "2002-08-12T00:00:00",
-          "2002-08-13T00:00:00",
-          "2002-08-14T00:00:00",
-          "2002-08-15T00:00:00",
-          "2002-08-16T00:00:00",
-          "2002-08-17T00:00:00",
-          "2002-08-18T00:00:00",
-          "2002-08-19T00:00:00",
-          "2002-08-20T00:00:00",
-          "2002-08-21T00:00:00",
-          "2002-08-22T00:00:00",
-          "2002-08-23T00:00:00",
-          "2002-08-24T00:00:00",
-          "2002-08-25T00:00:00",
-          "2002-08-26T00:00:00",
-          "2002-08-27T00:00:00",
-          "2002-08-28T00:00:00",
-          "2002-08-29T00:00:00",
-          "2002-08-30T00:00:00",
-          "2002-08-31T00:00:00",
-          "2002-09-01T00:00:00",
-          "2002-09-02T00:00:00",
-          "2002-09-03T00:00:00",
-          "2002-09-04T00:00:00",
-          "2002-09-05T00:00:00",
-          "2002-09-06T00:00:00",
-          "2002-09-07T00:00:00",
-          "2002-09-08T00:00:00",
-          "2002-09-09T00:00:00",
-          "2002-09-10T00:00:00",
-          "2002-09-11T00:00:00",
-          "2002-09-12T00:00:00",
-          "2002-09-13T00:00:00",
-          "2002-09-14T00:00:00",
-          "2002-09-15T00:00:00",
-          "2002-09-16T00:00:00",
-          "2002-09-17T00:00:00",
-          "2002-09-18T00:00:00",
-          "2002-09-19T00:00:00",
-          "2002-09-20T00:00:00",
-          "2002-09-21T00:00:00",
-          "2002-09-22T00:00:00",
-          "2002-09-23T00:00:00",
-          "2002-09-24T00:00:00",
-          "2002-09-25T00:00:00",
-          "2002-09-26T00:00:00",
-          "2002-09-27T00:00:00",
-          "2002-09-28T00:00:00",
-          "2002-09-29T00:00:00",
-          "2002-09-30T00:00:00",
-          "2002-10-01T00:00:00",
-          "2002-10-02T00:00:00",
-          "2002-10-03T00:00:00",
-          "2002-10-04T00:00:00",
-          "2002-10-05T00:00:00",
-          "2002-10-06T00:00:00",
-          "2002-10-07T00:00:00",
-          "2002-10-08T00:00:00",
-          "2002-10-09T00:00:00",
-          "2002-10-10T00:00:00",
-          "2002-10-11T00:00:00",
-          "2002-10-12T00:00:00",
-          "2002-10-13T00:00:00",
-          "2002-10-14T00:00:00",
-          "2002-10-15T00:00:00",
-          "2002-10-16T00:00:00",
-          "2002-10-17T00:00:00",
-          "2002-10-18T00:00:00",
-          "2002-10-19T00:00:00",
-          "2002-10-20T00:00:00",
-          "2002-10-21T00:00:00",
-          "2002-10-22T00:00:00",
-          "2002-10-23T00:00:00",
-          "2002-10-24T00:00:00",
-          "2002-10-25T00:00:00",
-          "2002-10-26T00:00:00",
-          "2002-10-27T00:00:00",
-          "2002-10-28T00:00:00",
-          "2002-10-29T00:00:00",
-          "2002-10-30T00:00:00",
-          "2002-10-31T00:00:00",
-          "2002-11-01T00:00:00",
-          "2002-11-02T00:00:00",
-          "2002-11-03T00:00:00",
-          "2002-11-04T00:00:00",
-          "2002-11-05T00:00:00",
-          "2002-11-06T00:00:00",
-          "2002-11-07T00:00:00",
-          "2002-11-08T00:00:00",
-          "2002-11-09T00:00:00",
-          "2002-11-10T00:00:00",
-          "2002-11-11T00:00:00",
-          "2002-11-12T00:00:00",
-          "2002-11-13T00:00:00",
-          "2002-11-14T00:00:00",
-          "2002-11-15T00:00:00",
-          "2002-11-16T00:00:00",
-          "2002-11-17T00:00:00",
-          "2002-11-18T00:00:00",
-          "2002-11-19T00:00:00",
-          "2002-11-20T00:00:00",
-          "2002-11-21T00:00:00",
-          "2002-11-22T00:00:00",
-          "2002-11-23T00:00:00",
-          "2002-11-24T00:00:00",
-          "2002-11-25T00:00:00",
-          "2002-11-26T00:00:00",
-          "2002-11-27T00:00:00",
-          "2002-11-28T00:00:00",
-          "2002-11-29T00:00:00",
-          "2002-11-30T00:00:00",
-          "2002-12-01T00:00:00",
-          "2002-12-02T00:00:00",
-          "2002-12-03T00:00:00",
-          "2002-12-04T00:00:00",
-          "2002-12-05T00:00:00",
-          "2002-12-06T00:00:00",
-          "2002-12-07T00:00:00",
-          "2002-12-08T00:00:00",
-          "2002-12-09T00:00:00",
-          "2002-12-10T00:00:00",
-          "2002-12-11T00:00:00",
-          "2002-12-12T00:00:00",
-          "2002-12-13T00:00:00",
-          "2002-12-14T00:00:00",
-          "2002-12-15T00:00:00",
-          "2002-12-16T00:00:00",
-          "2002-12-17T00:00:00",
-          "2002-12-18T00:00:00",
-          "2002-12-19T00:00:00",
-          "2002-12-20T00:00:00",
-          "2002-12-21T00:00:00",
-          "2002-12-22T00:00:00",
-          "2002-12-23T00:00:00",
-          "2002-12-24T00:00:00",
-          "2002-12-25T00:00:00",
-          "2002-12-26T00:00:00",
-          "2002-12-27T00:00:00",
-          "2002-12-28T00:00:00",
-          "2002-12-29T00:00:00",
-          "2002-12-30T00:00:00",
-          "2002-12-31T00:00:00",
-          "2003-01-01T00:00:00",
-          "2003-01-02T00:00:00",
-          "2003-01-03T00:00:00",
-          "2003-01-04T00:00:00",
-          "2003-01-05T00:00:00",
-          "2003-01-06T00:00:00",
-          "2003-01-07T00:00:00",
-          "2003-01-08T00:00:00",
-          "2003-01-09T00:00:00",
-          "2003-01-10T00:00:00",
-          "2003-01-11T00:00:00",
-          "2003-01-12T00:00:00",
-          "2003-01-13T00:00:00",
-          "2003-01-14T00:00:00",
-          "2003-01-15T00:00:00",
-          "2003-01-16T00:00:00",
-          "2003-01-17T00:00:00",
-          "2003-01-18T00:00:00",
-          "2003-01-19T00:00:00",
-          "2003-01-20T00:00:00",
-          "2003-01-21T00:00:00",
-          "2003-01-22T00:00:00",
-          "2003-01-23T00:00:00",
-          "2003-01-24T00:00:00",
-          "2003-01-25T00:00:00",
-          "2003-01-26T00:00:00",
-          "2003-01-27T00:00:00",
-          "2003-01-28T00:00:00",
-          "2003-01-29T00:00:00",
-          "2003-01-30T00:00:00",
-          "2003-01-31T00:00:00",
-          "2003-02-01T00:00:00",
-          "2003-02-02T00:00:00",
-          "2003-02-03T00:00:00",
-          "2003-02-04T00:00:00",
-          "2003-02-05T00:00:00",
-          "2003-02-06T00:00:00",
-          "2003-02-07T00:00:00",
-          "2003-02-08T00:00:00",
-          "2003-02-09T00:00:00",
-          "2003-02-10T00:00:00",
-          "2003-02-11T00:00:00",
-          "2003-02-12T00:00:00",
-          "2003-02-13T00:00:00",
-          "2003-02-14T00:00:00",
-          "2003-02-15T00:00:00",
-          "2003-02-16T00:00:00",
-          "2003-02-17T00:00:00",
-          "2003-02-18T00:00:00",
-          "2003-02-19T00:00:00",
-          "2003-02-20T00:00:00",
-          "2003-02-21T00:00:00",
-          "2003-02-22T00:00:00",
-          "2003-02-23T00:00:00",
-          "2003-02-24T00:00:00",
-          "2003-02-25T00:00:00",
-          "2003-02-26T00:00:00",
-          "2003-02-27T00:00:00",
-          "2003-02-28T00:00:00",
-          "2003-03-01T00:00:00",
-          "2003-03-02T00:00:00",
-          "2003-03-03T00:00:00",
-          "2003-03-04T00:00:00",
-          "2003-03-05T00:00:00",
-          "2003-03-06T00:00:00",
-          "2003-03-07T00:00:00",
-          "2003-03-08T00:00:00",
-          "2003-03-09T00:00:00",
-          "2003-03-10T00:00:00",
-          "2003-03-11T00:00:00",
-          "2003-03-12T00:00:00",
-          "2003-03-13T00:00:00",
-          "2003-03-14T00:00:00",
-          "2003-03-15T00:00:00",
-          "2003-03-16T00:00:00",
-          "2003-03-17T00:00:00",
-          "2003-03-18T00:00:00",
-          "2003-03-19T00:00:00",
-          "2003-03-20T00:00:00",
-          "2003-03-21T00:00:00",
-          "2003-03-22T00:00:00",
-          "2003-03-23T00:00:00",
-          "2003-03-24T00:00:00",
-          "2003-03-25T00:00:00",
-          "2003-03-26T00:00:00",
-          "2003-03-27T00:00:00",
-          "2003-03-28T00:00:00",
-          "2003-03-29T00:00:00",
-          "2003-03-30T00:00:00",
-          "2003-03-31T00:00:00",
-          "2003-04-01T00:00:00",
-          "2003-04-02T00:00:00",
-          "2003-04-03T00:00:00",
-          "2003-04-04T00:00:00",
-          "2003-04-05T00:00:00",
-          "2003-04-06T00:00:00",
-          "2003-04-07T00:00:00",
-          "2003-04-08T00:00:00",
-          "2003-04-09T00:00:00",
-          "2003-04-10T00:00:00",
-          "2003-04-11T00:00:00",
-          "2003-04-12T00:00:00",
-          "2003-04-13T00:00:00",
-          "2003-04-14T00:00:00",
-          "2003-04-15T00:00:00",
-          "2003-04-16T00:00:00",
-          "2003-04-17T00:00:00",
-          "2003-04-18T00:00:00",
-          "2003-04-19T00:00:00",
-          "2003-04-20T00:00:00",
-          "2003-04-21T00:00:00",
-          "2003-04-22T00:00:00",
-          "2003-04-23T00:00:00",
-          "2003-04-24T00:00:00",
-          "2003-04-25T00:00:00",
-          "2003-04-26T00:00:00",
-          "2003-04-27T00:00:00",
-          "2003-04-28T00:00:00",
-          "2003-04-29T00:00:00",
-          "2003-04-30T00:00:00",
-          "2003-05-01T00:00:00",
-          "2003-05-02T00:00:00",
-          "2003-05-03T00:00:00",
-          "2003-05-04T00:00:00",
-          "2003-05-05T00:00:00",
-          "2003-05-06T00:00:00",
-          "2003-05-07T00:00:00",
-          "2003-05-08T00:00:00",
-          "2003-05-09T00:00:00",
-          "2003-05-10T00:00:00",
-          "2003-05-11T00:00:00",
-          "2003-05-12T00:00:00",
-          "2003-05-13T00:00:00",
-          "2003-05-14T00:00:00",
-          "2003-05-15T00:00:00",
-          "2003-05-16T00:00:00",
-          "2003-05-17T00:00:00",
-          "2003-05-18T00:00:00",
-          "2003-05-19T00:00:00",
-          "2003-05-20T00:00:00",
-          "2003-05-21T00:00:00",
-          "2003-05-22T00:00:00",
-          "2003-05-23T00:00:00",
-          "2003-05-24T00:00:00",
-          "2003-05-25T00:00:00",
-          "2003-05-26T00:00:00",
-          "2003-05-27T00:00:00",
-          "2003-05-28T00:00:00",
-          "2003-05-29T00:00:00",
-          "2003-05-30T00:00:00",
-          "2003-05-31T00:00:00",
-          "2003-06-01T00:00:00",
-          "2003-06-02T00:00:00",
-          "2003-06-03T00:00:00",
-          "2003-06-04T00:00:00",
-          "2003-06-05T00:00:00",
-          "2003-06-06T00:00:00",
-          "2003-06-07T00:00:00",
-          "2003-06-08T00:00:00",
-          "2003-06-09T00:00:00",
-          "2003-06-10T00:00:00",
-          "2003-06-11T00:00:00",
-          "2003-06-12T00:00:00",
-          "2003-06-13T00:00:00",
-          "2003-06-14T00:00:00",
-          "2003-06-15T00:00:00",
-          "2003-06-16T00:00:00",
-          "2003-06-17T00:00:00",
-          "2003-06-18T00:00:00",
-          "2003-06-19T00:00:00",
-          "2003-06-20T00:00:00",
-          "2003-06-21T00:00:00",
-          "2003-06-22T00:00:00",
-          "2003-06-23T00:00:00",
-          "2003-06-24T00:00:00",
-          "2003-06-25T00:00:00",
-          "2003-06-26T00:00:00",
-          "2003-06-27T00:00:00",
-          "2003-06-28T00:00:00",
-          "2003-06-29T00:00:00",
-          "2003-06-30T00:00:00",
-          "2003-07-01T00:00:00",
-          "2003-07-02T00:00:00",
-          "2003-07-03T00:00:00",
-          "2003-07-04T00:00:00",
-          "2003-07-05T00:00:00",
-          "2003-07-06T00:00:00",
-          "2003-07-07T00:00:00",
-          "2003-07-08T00:00:00",
-          "2003-07-09T00:00:00",
-          "2003-07-10T00:00:00",
-          "2003-07-11T00:00:00",
-          "2003-07-12T00:00:00",
-          "2003-07-13T00:00:00",
-          "2003-07-14T00:00:00",
-          "2003-07-15T00:00:00",
-          "2003-07-16T00:00:00",
-          "2003-07-17T00:00:00",
-          "2003-07-18T00:00:00",
-          "2003-07-19T00:00:00",
-          "2003-07-20T00:00:00",
-          "2003-07-21T00:00:00",
-          "2003-07-22T00:00:00",
-          "2003-07-23T00:00:00",
-          "2003-07-24T00:00:00",
-          "2003-07-25T00:00:00",
-          "2003-07-26T00:00:00",
-          "2003-07-27T00:00:00",
-          "2003-07-28T00:00:00",
-          "2003-07-29T00:00:00",
-          "2003-07-30T00:00:00",
-          "2003-07-31T00:00:00",
-          "2003-08-01T00:00:00",
-          "2003-08-02T00:00:00",
-          "2003-08-03T00:00:00",
-          "2003-08-04T00:00:00",
-          "2003-08-05T00:00:00",
-          "2003-08-06T00:00:00",
-          "2003-08-07T00:00:00",
-          "2003-08-08T00:00:00",
-          "2003-08-09T00:00:00",
-          "2003-08-10T00:00:00",
-          "2003-08-11T00:00:00",
-          "2003-08-12T00:00:00",
-          "2003-08-13T00:00:00",
-          "2003-08-14T00:00:00",
-          "2003-08-15T00:00:00",
-          "2003-08-16T00:00:00",
-          "2003-08-17T00:00:00",
-          "2003-08-18T00:00:00",
-          "2003-08-19T00:00:00",
-          "2003-08-20T00:00:00",
-          "2003-08-21T00:00:00",
-          "2003-08-22T00:00:00",
-          "2003-08-23T00:00:00",
-          "2003-08-24T00:00:00",
-          "2003-08-25T00:00:00",
-          "2003-08-26T00:00:00",
-          "2003-08-27T00:00:00",
-          "2003-08-28T00:00:00",
-          "2003-08-29T00:00:00",
-          "2003-08-30T00:00:00",
-          "2003-08-31T00:00:00",
-          "2003-09-01T00:00:00",
-          "2003-09-02T00:00:00",
-          "2003-09-03T00:00:00",
-          "2003-09-04T00:00:00",
-          "2003-09-05T00:00:00",
-          "2003-09-06T00:00:00",
-          "2003-09-07T00:00:00",
-          "2003-09-08T00:00:00",
-          "2003-09-09T00:00:00",
-          "2003-09-10T00:00:00",
-          "2003-09-11T00:00:00",
-          "2003-09-12T00:00:00",
-          "2003-09-13T00:00:00",
-          "2003-09-14T00:00:00",
-          "2003-09-15T00:00:00",
-          "2003-09-16T00:00:00",
-          "2003-09-17T00:00:00",
-          "2003-09-18T00:00:00",
-          "2003-09-19T00:00:00",
-          "2003-09-20T00:00:00",
-          "2003-09-21T00:00:00",
-          "2003-09-22T00:00:00",
-          "2003-09-23T00:00:00",
-          "2003-09-24T00:00:00",
-          "2003-09-25T00:00:00",
-          "2003-09-26T00:00:00",
-          "2003-09-27T00:00:00",
-          "2003-09-28T00:00:00",
-          "2003-09-29T00:00:00",
-          "2003-09-30T00:00:00",
-          "2003-10-01T00:00:00",
-          "2003-10-02T00:00:00",
-          "2003-10-03T00:00:00",
-          "2003-10-04T00:00:00",
-          "2003-10-05T00:00:00",
-          "2003-10-06T00:00:00",
-          "2003-10-07T00:00:00",
-          "2003-10-08T00:00:00",
-          "2003-10-09T00:00:00",
-          "2003-10-10T00:00:00",
-          "2003-10-11T00:00:00",
-          "2003-10-12T00:00:00",
-          "2003-10-13T00:00:00",
-          "2003-10-14T00:00:00",
-          "2003-10-15T00:00:00",
-          "2003-10-16T00:00:00",
-          "2003-10-17T00:00:00",
-          "2003-10-18T00:00:00",
-          "2003-10-19T00:00:00",
-          "2003-10-20T00:00:00",
-          "2003-10-21T00:00:00",
-          "2003-10-22T00:00:00",
-          "2003-10-23T00:00:00",
-          "2003-10-24T00:00:00",
-          "2003-10-25T00:00:00",
-          "2003-10-26T00:00:00",
-          "2003-10-27T00:00:00",
-          "2003-10-28T00:00:00",
-          "2003-10-29T00:00:00",
-          "2003-10-30T00:00:00",
-          "2003-10-31T00:00:00",
-          "2003-11-01T00:00:00",
-          "2003-11-02T00:00:00",
-          "2003-11-03T00:00:00",
-          "2003-11-04T00:00:00",
-          "2003-11-05T00:00:00",
-          "2003-11-06T00:00:00",
-          "2003-11-07T00:00:00",
-          "2003-11-08T00:00:00",
-          "2003-11-09T00:00:00",
-          "2003-11-10T00:00:00",
-          "2003-11-11T00:00:00",
-          "2003-11-12T00:00:00",
-          "2003-11-13T00:00:00",
-          "2003-11-14T00:00:00",
-          "2003-11-15T00:00:00",
-          "2003-11-16T00:00:00",
-          "2003-11-17T00:00:00",
-          "2003-11-18T00:00:00",
-          "2003-11-19T00:00:00",
-          "2003-11-20T00:00:00",
-          "2003-11-21T00:00:00",
-          "2003-11-22T00:00:00",
-          "2003-11-23T00:00:00",
-          "2003-11-24T00:00:00",
-          "2003-11-25T00:00:00",
-          "2003-11-26T00:00:00",
-          "2003-11-27T00:00:00",
-          "2003-11-28T00:00:00",
-          "2003-11-29T00:00:00",
-          "2003-11-30T00:00:00",
-          "2003-12-01T00:00:00",
-          "2003-12-02T00:00:00",
-          "2003-12-03T00:00:00",
-          "2003-12-04T00:00:00",
-          "2003-12-05T00:00:00",
-          "2003-12-06T00:00:00",
-          "2003-12-07T00:00:00",
-          "2003-12-08T00:00:00",
-          "2003-12-09T00:00:00",
-          "2003-12-10T00:00:00",
-          "2003-12-11T00:00:00",
-          "2003-12-12T00:00:00",
-          "2003-12-13T00:00:00",
-          "2003-12-14T00:00:00",
-          "2003-12-15T00:00:00",
-          "2003-12-16T00:00:00",
-          "2003-12-17T00:00:00",
-          "2003-12-18T00:00:00",
-          "2003-12-19T00:00:00",
-          "2003-12-20T00:00:00",
-          "2003-12-21T00:00:00",
-          "2003-12-22T00:00:00",
-          "2003-12-23T00:00:00",
-          "2003-12-24T00:00:00",
-          "2003-12-25T00:00:00",
-          "2003-12-26T00:00:00",
-          "2003-12-27T00:00:00",
-          "2003-12-28T00:00:00",
-          "2003-12-29T00:00:00",
-          "2003-12-30T00:00:00",
-          "2003-12-31T00:00:00",
-          "2004-01-01T00:00:00",
-          "2004-01-02T00:00:00",
-          "2004-01-03T00:00:00",
-          "2004-01-04T00:00:00",
-          "2004-01-05T00:00:00",
-          "2004-01-06T00:00:00",
-          "2004-01-07T00:00:00",
-          "2004-01-08T00:00:00",
-          "2004-01-09T00:00:00",
-          "2004-01-10T00:00:00",
-          "2004-01-11T00:00:00",
-          "2004-01-12T00:00:00",
-          "2004-01-13T00:00:00",
-          "2004-01-14T00:00:00",
-          "2004-01-15T00:00:00",
-          "2004-01-16T00:00:00",
-          "2004-01-17T00:00:00",
-          "2004-01-18T00:00:00",
-          "2004-01-19T00:00:00",
-          "2004-01-20T00:00:00",
-          "2004-01-21T00:00:00",
-          "2004-01-22T00:00:00",
-          "2004-01-23T00:00:00",
-          "2004-01-24T00:00:00",
-          "2004-01-25T00:00:00",
-          "2004-01-26T00:00:00",
-          "2004-01-27T00:00:00",
-          "2004-01-28T00:00:00",
-          "2004-01-29T00:00:00",
-          "2004-01-30T00:00:00",
-          "2004-01-31T00:00:00",
-          "2004-02-01T00:00:00",
-          "2004-02-02T00:00:00",
-          "2004-02-03T00:00:00",
-          "2004-02-04T00:00:00",
-          "2004-02-05T00:00:00",
-          "2004-02-06T00:00:00",
-          "2004-02-07T00:00:00",
-          "2004-02-08T00:00:00",
-          "2004-02-09T00:00:00",
-          "2004-02-10T00:00:00",
-          "2004-02-11T00:00:00",
-          "2004-02-12T00:00:00",
-          "2004-02-13T00:00:00",
-          "2004-02-14T00:00:00",
-          "2004-02-15T00:00:00",
-          "2004-02-16T00:00:00",
-          "2004-02-17T00:00:00",
-          "2004-02-18T00:00:00",
-          "2004-02-19T00:00:00",
-          "2004-02-20T00:00:00",
-          "2004-02-21T00:00:00",
-          "2004-02-22T00:00:00",
-          "2004-02-23T00:00:00",
-          "2004-02-24T00:00:00",
-          "2004-02-25T00:00:00",
-          "2004-02-26T00:00:00",
-          "2004-02-27T00:00:00",
-          "2004-02-28T00:00:00",
-          "2004-02-29T00:00:00",
-          "2004-03-01T00:00:00",
-          "2004-03-02T00:00:00",
-          "2004-03-03T00:00:00",
-          "2004-03-04T00:00:00",
-          "2004-03-05T00:00:00",
-          "2004-03-06T00:00:00",
-          "2004-03-07T00:00:00",
-          "2004-03-08T00:00:00",
-          "2004-03-09T00:00:00",
-          "2004-03-10T00:00:00",
-          "2004-03-11T00:00:00",
-          "2004-03-12T00:00:00",
-          "2004-03-13T00:00:00",
-          "2004-03-14T00:00:00",
-          "2004-03-15T00:00:00",
-          "2004-03-16T00:00:00",
-          "2004-03-17T00:00:00",
-          "2004-03-18T00:00:00",
-          "2004-03-19T00:00:00",
-          "2004-03-20T00:00:00",
-          "2004-03-21T00:00:00",
-          "2004-03-22T00:00:00",
-          "2004-03-23T00:00:00",
-          "2004-03-24T00:00:00",
-          "2004-03-25T00:00:00",
-          "2004-03-26T00:00:00",
-          "2004-03-27T00:00:00",
-          "2004-03-28T00:00:00",
-          "2004-03-29T00:00:00",
-          "2004-03-30T00:00:00",
-          "2004-03-31T00:00:00",
-          "2004-04-01T00:00:00",
-          "2004-04-02T00:00:00",
-          "2004-04-03T00:00:00",
-          "2004-04-04T00:00:00",
-          "2004-04-05T00:00:00",
-          "2004-04-06T00:00:00",
-          "2004-04-07T00:00:00",
-          "2004-04-08T00:00:00",
-          "2004-04-09T00:00:00",
-          "2004-04-10T00:00:00",
-          "2004-04-11T00:00:00",
-          "2004-04-12T00:00:00",
-          "2004-04-13T00:00:00",
-          "2004-04-14T00:00:00",
-          "2004-04-15T00:00:00",
-          "2004-04-16T00:00:00",
-          "2004-04-17T00:00:00",
-          "2004-04-18T00:00:00",
-          "2004-04-19T00:00:00",
-          "2004-04-20T00:00:00",
-          "2004-04-21T00:00:00",
-          "2004-04-22T00:00:00",
-          "2004-04-23T00:00:00",
-          "2004-04-24T00:00:00",
-          "2004-04-25T00:00:00",
-          "2004-04-26T00:00:00",
-          "2004-04-27T00:00:00",
-          "2004-04-28T00:00:00",
-          "2004-04-29T00:00:00",
-          "2004-04-30T00:00:00",
-          "2004-05-01T00:00:00",
-          "2004-05-02T00:00:00",
-          "2004-05-03T00:00:00",
-          "2004-05-04T00:00:00",
-          "2004-05-05T00:00:00",
-          "2004-05-06T00:00:00",
-          "2004-05-07T00:00:00",
-          "2004-05-08T00:00:00",
-          "2004-05-09T00:00:00",
-          "2004-05-10T00:00:00",
-          "2004-05-11T00:00:00",
-          "2004-05-12T00:00:00",
-          "2004-05-13T00:00:00",
-          "2004-05-14T00:00:00",
-          "2004-05-15T00:00:00",
-          "2004-05-16T00:00:00",
-          "2004-05-17T00:00:00",
-          "2004-05-18T00:00:00",
-          "2004-05-19T00:00:00",
-          "2004-05-20T00:00:00",
-          "2004-05-21T00:00:00",
-          "2004-05-22T00:00:00",
-          "2004-05-23T00:00:00",
-          "2004-05-24T00:00:00",
-          "2004-05-25T00:00:00",
-          "2004-05-26T00:00:00",
-          "2004-05-27T00:00:00",
-          "2004-05-28T00:00:00",
-          "2004-05-29T00:00:00",
-          "2004-05-30T00:00:00",
-          "2004-05-31T00:00:00",
-          "2004-06-01T00:00:00",
-          "2004-06-02T00:00:00",
-          "2004-06-03T00:00:00",
-          "2004-06-04T00:00:00",
-          "2004-06-05T00:00:00",
-          "2004-06-06T00:00:00",
-          "2004-06-07T00:00:00",
-          "2004-06-08T00:00:00",
-          "2004-06-09T00:00:00",
-          "2004-06-10T00:00:00",
-          "2004-06-11T00:00:00",
-          "2004-06-12T00:00:00",
-          "2004-06-13T00:00:00",
-          "2004-06-14T00:00:00",
-          "2004-06-15T00:00:00",
-          "2004-06-16T00:00:00",
-          "2004-06-17T00:00:00",
-          "2004-06-18T00:00:00",
-          "2004-06-19T00:00:00",
-          "2004-06-20T00:00:00",
-          "2004-06-21T00:00:00",
-          "2004-06-22T00:00:00",
-          "2004-06-23T00:00:00",
-          "2004-06-24T00:00:00",
-          "2004-06-25T00:00:00",
-          "2004-06-26T00:00:00",
-          "2004-06-27T00:00:00",
-          "2004-06-28T00:00:00",
-          "2004-06-29T00:00:00",
-          "2004-06-30T00:00:00",
-          "2004-07-01T00:00:00",
-          "2004-07-02T00:00:00",
-          "2004-07-03T00:00:00",
-          "2004-07-04T00:00:00",
-          "2004-07-05T00:00:00",
-          "2004-07-06T00:00:00",
-          "2004-07-07T00:00:00",
-          "2004-07-08T00:00:00",
-          "2004-07-09T00:00:00",
-          "2004-07-10T00:00:00",
-          "2004-07-11T00:00:00",
-          "2004-07-12T00:00:00",
-          "2004-07-13T00:00:00",
-          "2004-07-14T00:00:00",
-          "2004-07-15T00:00:00",
-          "2004-07-16T00:00:00",
-          "2004-07-17T00:00:00",
-          "2004-07-18T00:00:00",
-          "2004-07-19T00:00:00",
-          "2004-07-20T00:00:00",
-          "2004-07-21T00:00:00",
-          "2004-07-22T00:00:00",
-          "2004-07-23T00:00:00",
-          "2004-07-24T00:00:00",
-          "2004-07-25T00:00:00",
-          "2004-07-26T00:00:00",
-          "2004-07-27T00:00:00",
-          "2004-07-28T00:00:00",
-          "2004-07-29T00:00:00",
-          "2004-07-30T00:00:00",
-          "2004-07-31T00:00:00",
-          "2004-08-01T00:00:00",
-          "2004-08-02T00:00:00",
-          "2004-08-03T00:00:00",
-          "2004-08-04T00:00:00",
-          "2004-08-05T00:00:00",
-          "2004-08-06T00:00:00",
-          "2004-08-07T00:00:00",
-          "2004-08-08T00:00:00",
-          "2004-08-09T00:00:00",
-          "2004-08-10T00:00:00",
-          "2004-08-11T00:00:00",
-          "2004-08-12T00:00:00",
-          "2004-08-13T00:00:00",
-          "2004-08-14T00:00:00",
-          "2004-08-15T00:00:00",
-          "2004-08-16T00:00:00",
-          "2004-08-17T00:00:00",
-          "2004-08-18T00:00:00",
-          "2004-08-19T00:00:00",
-          "2004-08-20T00:00:00",
-          "2004-08-21T00:00:00",
-          "2004-08-22T00:00:00",
-          "2004-08-23T00:00:00",
-          "2004-08-24T00:00:00",
-          "2004-08-25T00:00:00",
-          "2004-08-26T00:00:00",
-          "2004-08-27T00:00:00",
-          "2004-08-28T00:00:00",
-          "2004-08-29T00:00:00",
-          "2004-08-30T00:00:00",
-          "2004-08-31T00:00:00",
-          "2004-09-01T00:00:00",
-          "2004-09-02T00:00:00",
-          "2004-09-03T00:00:00",
-          "2004-09-04T00:00:00",
-          "2004-09-05T00:00:00",
-          "2004-09-06T00:00:00",
-          "2004-09-07T00:00:00",
-          "2004-09-08T00:00:00",
-          "2004-09-09T00:00:00",
-          "2004-09-10T00:00:00",
-          "2004-09-11T00:00:00",
-          "2004-09-12T00:00:00",
-          "2004-09-13T00:00:00",
-          "2004-09-14T00:00:00",
-          "2004-09-15T00:00:00",
-          "2004-09-16T00:00:00",
-          "2004-09-17T00:00:00",
-          "2004-09-18T00:00:00",
-          "2004-09-19T00:00:00",
-          "2004-09-20T00:00:00",
-          "2004-09-21T00:00:00",
-          "2004-09-22T00:00:00",
-          "2004-09-23T00:00:00",
-          "2004-09-24T00:00:00",
-          "2004-09-25T00:00:00",
-          "2004-09-26T00:00:00",
-          "2004-09-27T00:00:00",
-          "2004-09-28T00:00:00",
-          "2004-09-29T00:00:00",
-          "2004-09-30T00:00:00",
-          "2004-10-01T00:00:00",
-          "2004-10-02T00:00:00",
-          "2004-10-03T00:00:00",
-          "2004-10-04T00:00:00",
-          "2004-10-05T00:00:00",
-          "2004-10-06T00:00:00",
-          "2004-10-07T00:00:00",
-          "2004-10-08T00:00:00",
-          "2004-10-09T00:00:00",
-          "2004-10-10T00:00:00",
-          "2004-10-11T00:00:00",
-          "2004-10-12T00:00:00",
-          "2004-10-13T00:00:00",
-          "2004-10-14T00:00:00",
-          "2004-10-15T00:00:00",
-          "2004-10-16T00:00:00",
-          "2004-10-17T00:00:00",
-          "2004-10-18T00:00:00",
-          "2004-10-19T00:00:00",
-          "2004-10-20T00:00:00",
-          "2004-10-21T00:00:00",
-          "2004-10-22T00:00:00",
-          "2004-10-23T00:00:00",
-          "2004-10-24T00:00:00",
-          "2004-10-25T00:00:00",
-          "2004-10-26T00:00:00",
-          "2004-10-27T00:00:00",
-          "2004-10-28T00:00:00",
-          "2004-10-29T00:00:00",
-          "2004-10-30T00:00:00",
-          "2004-10-31T00:00:00",
-          "2004-11-01T00:00:00",
-          "2004-11-02T00:00:00",
-          "2004-11-03T00:00:00",
-          "2004-11-04T00:00:00",
-          "2004-11-05T00:00:00",
-          "2004-11-06T00:00:00",
-          "2004-11-07T00:00:00",
-          "2004-11-08T00:00:00",
-          "2004-11-09T00:00:00",
-          "2004-11-10T00:00:00",
-          "2004-11-11T00:00:00",
-          "2004-11-12T00:00:00",
-          "2004-11-13T00:00:00",
-          "2004-11-14T00:00:00",
-          "2004-11-15T00:00:00",
-          "2004-11-16T00:00:00",
-          "2004-11-17T00:00:00",
-          "2004-11-18T00:00:00",
-          "2004-11-19T00:00:00",
-          "2004-11-20T00:00:00",
-          "2004-11-21T00:00:00",
-          "2004-11-22T00:00:00",
-          "2004-11-23T00:00:00",
-          "2004-11-24T00:00:00",
-          "2004-11-25T00:00:00",
-          "2004-11-26T00:00:00",
-          "2004-11-27T00:00:00",
-          "2004-11-28T00:00:00",
-          "2004-11-29T00:00:00",
-          "2004-11-30T00:00:00",
-          "2004-12-01T00:00:00",
-          "2004-12-02T00:00:00",
-          "2004-12-03T00:00:00",
-          "2004-12-04T00:00:00",
-          "2004-12-05T00:00:00",
-          "2004-12-06T00:00:00",
-          "2004-12-07T00:00:00",
-          "2004-12-08T00:00:00",
-          "2004-12-09T00:00:00",
-          "2004-12-10T00:00:00",
-          "2004-12-11T00:00:00",
-          "2004-12-12T00:00:00",
-          "2004-12-13T00:00:00",
-          "2004-12-14T00:00:00",
-          "2004-12-15T00:00:00",
-          "2004-12-16T00:00:00",
-          "2004-12-17T00:00:00",
-          "2004-12-18T00:00:00",
-          "2004-12-19T00:00:00",
-          "2004-12-20T00:00:00",
-          "2004-12-21T00:00:00",
-          "2004-12-22T00:00:00",
-          "2004-12-23T00:00:00",
-          "2004-12-24T00:00:00",
-          "2004-12-25T00:00:00",
-          "2004-12-26T00:00:00",
-          "2004-12-27T00:00:00",
-          "2004-12-28T00:00:00",
-          "2004-12-29T00:00:00",
-          "2004-12-30T00:00:00",
-          "2004-12-31T00:00:00",
-          "2005-01-01T00:00:00",
-          "2005-01-02T00:00:00",
-          "2005-01-03T00:00:00",
-          "2005-01-04T00:00:00",
-          "2005-01-05T00:00:00",
-          "2005-01-06T00:00:00",
-          "2005-01-07T00:00:00",
-          "2005-01-08T00:00:00",
-          "2005-01-09T00:00:00",
-          "2005-01-10T00:00:00",
-          "2005-01-11T00:00:00",
-          "2005-01-12T00:00:00",
-          "2005-01-13T00:00:00",
-          "2005-01-14T00:00:00",
-          "2005-01-15T00:00:00",
-          "2005-01-16T00:00:00",
-          "2005-01-17T00:00:00",
-          "2005-01-18T00:00:00",
-          "2005-01-19T00:00:00",
-          "2005-01-20T00:00:00",
-          "2005-01-21T00:00:00",
-          "2005-01-22T00:00:00",
-          "2005-01-23T00:00:00",
-          "2005-01-24T00:00:00",
-          "2005-01-25T00:00:00",
-          "2005-01-26T00:00:00",
-          "2005-01-27T00:00:00",
-          "2005-01-28T00:00:00",
-          "2005-01-29T00:00:00",
-          "2005-01-30T00:00:00",
-          "2005-01-31T00:00:00",
-          "2005-02-01T00:00:00",
-          "2005-02-02T00:00:00",
-          "2005-02-03T00:00:00",
-          "2005-02-04T00:00:00",
-          "2005-02-05T00:00:00",
-          "2005-02-06T00:00:00",
-          "2005-02-07T00:00:00",
-          "2005-02-08T00:00:00",
-          "2005-02-09T00:00:00",
-          "2005-02-10T00:00:00",
-          "2005-02-11T00:00:00",
-          "2005-02-12T00:00:00",
-          "2005-02-13T00:00:00",
-          "2005-02-14T00:00:00",
-          "2005-02-15T00:00:00",
-          "2005-02-16T00:00:00",
-          "2005-02-17T00:00:00",
-          "2005-02-18T00:00:00",
-          "2005-02-19T00:00:00",
-          "2005-02-20T00:00:00",
-          "2005-02-21T00:00:00",
-          "2005-02-22T00:00:00",
-          "2005-02-23T00:00:00",
-          "2005-02-24T00:00:00",
-          "2005-02-25T00:00:00",
-          "2005-02-26T00:00:00",
-          "2005-02-27T00:00:00",
-          "2005-02-28T00:00:00",
-          "2005-03-01T00:00:00",
-          "2005-03-02T00:00:00",
-          "2005-03-03T00:00:00",
-          "2005-03-04T00:00:00",
-          "2005-03-05T00:00:00",
-          "2005-03-06T00:00:00",
-          "2005-03-07T00:00:00",
-          "2005-03-08T00:00:00",
-          "2005-03-09T00:00:00",
-          "2005-03-10T00:00:00",
-          "2005-03-11T00:00:00",
-          "2005-03-12T00:00:00",
-          "2005-03-13T00:00:00",
-          "2005-03-14T00:00:00",
-          "2005-03-15T00:00:00",
-          "2005-03-16T00:00:00",
-          "2005-03-17T00:00:00",
-          "2005-03-18T00:00:00",
-          "2005-03-19T00:00:00",
-          "2005-03-20T00:00:00",
-          "2005-03-21T00:00:00",
-          "2005-03-22T00:00:00",
-          "2005-03-23T00:00:00",
-          "2005-03-24T00:00:00",
-          "2005-03-25T00:00:00",
-          "2005-03-26T00:00:00",
-          "2005-03-27T00:00:00",
-          "2005-03-28T00:00:00",
-          "2005-03-29T00:00:00",
-          "2005-03-30T00:00:00",
-          "2005-03-31T00:00:00",
-          "2005-04-01T00:00:00",
-          "2005-04-02T00:00:00",
-          "2005-04-03T00:00:00",
-          "2005-04-04T00:00:00",
-          "2005-04-05T00:00:00",
-          "2005-04-06T00:00:00",
-          "2005-04-07T00:00:00",
-          "2005-04-08T00:00:00",
-          "2005-04-09T00:00:00",
-          "2005-04-10T00:00:00",
-          "2005-04-11T00:00:00",
-          "2005-04-12T00:00:00",
-          "2005-04-13T00:00:00",
-          "2005-04-14T00:00:00",
-          "2005-04-15T00:00:00",
-          "2005-04-16T00:00:00",
-          "2005-04-17T00:00:00",
-          "2005-04-18T00:00:00",
-          "2005-04-19T00:00:00",
-          "2005-04-20T00:00:00",
-          "2005-04-21T00:00:00",
-          "2005-04-22T00:00:00",
-          "2005-04-23T00:00:00",
-          "2005-04-24T00:00:00",
-          "2005-04-25T00:00:00",
-          "2005-04-26T00:00:00",
-          "2005-04-27T00:00:00",
-          "2005-04-28T00:00:00",
-          "2005-04-29T00:00:00",
-          "2005-04-30T00:00:00",
-          "2005-05-01T00:00:00",
-          "2005-05-02T00:00:00",
-          "2005-05-03T00:00:00",
-          "2005-05-04T00:00:00",
-          "2005-05-05T00:00:00",
-          "2005-05-06T00:00:00",
-          "2005-05-07T00:00:00",
-          "2005-05-08T00:00:00",
-          "2005-05-09T00:00:00",
-          "2005-05-10T00:00:00",
-          "2005-05-11T00:00:00",
-          "2005-05-12T00:00:00",
-          "2005-05-13T00:00:00",
-          "2005-05-14T00:00:00",
-          "2005-05-15T00:00:00",
-          "2005-05-16T00:00:00",
-          "2005-05-17T00:00:00",
-          "2005-05-18T00:00:00",
-          "2005-05-19T00:00:00",
-          "2005-05-20T00:00:00",
-          "2005-05-21T00:00:00",
-          "2005-05-22T00:00:00",
-          "2005-05-23T00:00:00",
-          "2005-05-24T00:00:00",
-          "2005-05-25T00:00:00",
-          "2005-05-26T00:00:00",
-          "2005-05-27T00:00:00",
-          "2005-05-28T00:00:00",
-          "2005-05-29T00:00:00",
-          "2005-05-30T00:00:00",
-          "2005-05-31T00:00:00",
-          "2005-06-01T00:00:00",
-          "2005-06-02T00:00:00",
-          "2005-06-03T00:00:00",
-          "2005-06-04T00:00:00",
-          "2005-06-05T00:00:00",
-          "2005-06-06T00:00:00",
-          "2005-06-07T00:00:00",
-          "2005-06-08T00:00:00",
-          "2005-06-09T00:00:00",
-          "2005-06-10T00:00:00",
-          "2005-06-11T00:00:00",
-          "2005-06-12T00:00:00",
-          "2005-06-13T00:00:00",
-          "2005-06-14T00:00:00",
-          "2005-06-15T00:00:00",
-          "2005-06-16T00:00:00",
-          "2005-06-17T00:00:00",
-          "2005-06-18T00:00:00",
-          "2005-06-19T00:00:00",
-          "2005-06-20T00:00:00",
-          "2005-06-21T00:00:00",
-          "2005-06-22T00:00:00",
-          "2005-06-23T00:00:00",
-          "2005-06-24T00:00:00",
-          "2005-06-25T00:00:00",
-          "2005-06-26T00:00:00",
-          "2005-06-27T00:00:00",
-          "2005-06-28T00:00:00",
-          "2005-06-29T00:00:00",
-          "2005-06-30T00:00:00",
-          "2005-07-01T00:00:00",
-          "2005-07-02T00:00:00",
-          "2005-07-03T00:00:00",
-          "2005-07-04T00:00:00",
-          "2005-07-05T00:00:00",
-          "2005-07-06T00:00:00",
-          "2005-07-07T00:00:00",
-          "2005-07-08T00:00:00",
-          "2005-07-09T00:00:00",
-          "2005-07-10T00:00:00",
-          "2005-07-11T00:00:00",
-          "2005-07-12T00:00:00",
-          "2005-07-13T00:00:00",
-          "2005-07-14T00:00:00",
-          "2005-07-15T00:00:00",
-          "2005-07-16T00:00:00",
-          "2005-07-17T00:00:00",
-          "2005-07-18T00:00:00",
-          "2005-07-19T00:00:00",
-          "2005-07-20T00:00:00",
-          "2005-07-21T00:00:00",
-          "2005-07-22T00:00:00",
-          "2005-07-23T00:00:00",
-          "2005-07-24T00:00:00",
-          "2005-07-25T00:00:00",
-          "2005-07-26T00:00:00",
-          "2005-07-27T00:00:00",
-          "2005-07-28T00:00:00",
-          "2005-07-29T00:00:00",
-          "2005-07-30T00:00:00",
-          "2005-07-31T00:00:00",
-          "2005-08-01T00:00:00",
-          "2005-08-02T00:00:00",
-          "2005-08-03T00:00:00",
-          "2005-08-04T00:00:00",
-          "2005-08-05T00:00:00",
-          "2005-08-06T00:00:00",
-          "2005-08-07T00:00:00",
-          "2005-08-08T00:00:00",
-          "2005-08-09T00:00:00",
-          "2005-08-10T00:00:00",
-          "2005-08-11T00:00:00",
-          "2005-08-12T00:00:00",
-          "2005-08-13T00:00:00",
-          "2005-08-14T00:00:00",
-          "2005-08-15T00:00:00",
-          "2005-08-16T00:00:00",
-          "2005-08-17T00:00:00",
-          "2005-08-18T00:00:00",
-          "2005-08-19T00:00:00",
-          "2005-08-20T00:00:00",
-          "2005-08-21T00:00:00",
-          "2005-08-22T00:00:00",
-          "2005-08-23T00:00:00",
-          "2005-08-24T00:00:00",
-          "2005-08-25T00:00:00",
-          "2005-08-26T00:00:00",
-          "2005-08-27T00:00:00",
-          "2005-08-28T00:00:00",
-          "2005-08-29T00:00:00",
-          "2005-08-30T00:00:00",
-          "2005-08-31T00:00:00",
-          "2005-09-01T00:00:00",
-          "2005-09-02T00:00:00",
-          "2005-09-03T00:00:00",
-          "2005-09-04T00:00:00",
-          "2005-09-05T00:00:00",
-          "2005-09-06T00:00:00",
-          "2005-09-07T00:00:00",
-          "2005-09-08T00:00:00",
-          "2005-09-09T00:00:00",
-          "2005-09-10T00:00:00",
-          "2005-09-11T00:00:00",
-          "2005-09-12T00:00:00",
-          "2005-09-13T00:00:00",
-          "2005-09-14T00:00:00",
-          "2005-09-15T00:00:00",
-          "2005-09-16T00:00:00",
-          "2005-09-17T00:00:00",
-          "2005-09-18T00:00:00",
-          "2005-09-19T00:00:00",
-          "2005-09-20T00:00:00",
-          "2005-09-21T00:00:00",
-          "2005-09-22T00:00:00",
-          "2005-09-23T00:00:00",
-          "2005-09-24T00:00:00",
-          "2005-09-25T00:00:00",
-          "2005-09-26T00:00:00",
-          "2005-09-27T00:00:00",
-          "2005-09-28T00:00:00",
-          "2005-09-29T00:00:00",
-          "2005-09-30T00:00:00",
-          "2005-10-01T00:00:00",
-          "2005-10-02T00:00:00",
-          "2005-10-03T00:00:00",
-          "2005-10-04T00:00:00",
-          "2005-10-05T00:00:00",
-          "2005-10-06T00:00:00",
-          "2005-10-07T00:00:00",
-          "2005-10-08T00:00:00",
-          "2005-10-09T00:00:00",
-          "2005-10-10T00:00:00",
-          "2005-10-11T00:00:00",
-          "2005-10-12T00:00:00",
-          "2005-10-13T00:00:00",
-          "2005-10-14T00:00:00",
-          "2005-10-15T00:00:00",
-          "2005-10-16T00:00:00",
-          "2005-10-17T00:00:00",
-          "2005-10-18T00:00:00",
-          "2005-10-19T00:00:00",
-          "2005-10-20T00:00:00",
-          "2005-10-21T00:00:00",
-          "2005-10-22T00:00:00",
-          "2005-10-23T00:00:00",
-          "2005-10-24T00:00:00",
-          "2005-10-25T00:00:00",
-          "2005-10-26T00:00:00",
-          "2005-10-27T00:00:00",
-          "2005-10-28T00:00:00",
-          "2005-10-29T00:00:00",
-          "2005-10-30T00:00:00",
-          "2005-10-31T00:00:00",
-          "2005-11-01T00:00:00",
-          "2005-11-02T00:00:00",
-          "2005-11-03T00:00:00",
-          "2005-11-04T00:00:00",
-          "2005-11-05T00:00:00",
-          "2005-11-06T00:00:00",
-          "2005-11-07T00:00:00",
-          "2005-11-08T00:00:00",
-          "2005-11-09T00:00:00",
-          "2005-11-10T00:00:00",
-          "2005-11-11T00:00:00",
-          "2005-11-12T00:00:00",
-          "2005-11-13T00:00:00",
-          "2005-11-14T00:00:00",
-          "2005-11-15T00:00:00",
-          "2005-11-16T00:00:00",
-          "2005-11-17T00:00:00",
-          "2005-11-18T00:00:00",
-          "2005-11-19T00:00:00",
-          "2005-11-20T00:00:00",
-          "2005-11-21T00:00:00",
-          "2005-11-22T00:00:00",
-          "2005-11-23T00:00:00",
-          "2005-11-24T00:00:00",
-          "2005-11-25T00:00:00",
-          "2005-11-26T00:00:00",
-          "2005-11-27T00:00:00",
-          "2005-11-28T00:00:00",
-          "2005-11-29T00:00:00",
-          "2005-11-30T00:00:00",
-          "2005-12-01T00:00:00",
-          "2005-12-02T00:00:00",
-          "2005-12-03T00:00:00",
-          "2005-12-04T00:00:00",
-          "2005-12-05T00:00:00",
-          "2005-12-06T00:00:00",
-          "2005-12-07T00:00:00",
-          "2005-12-08T00:00:00",
-          "2005-12-09T00:00:00",
-          "2005-12-10T00:00:00",
-          "2005-12-11T00:00:00",
-          "2005-12-12T00:00:00",
-          "2005-12-13T00:00:00",
-          "2005-12-14T00:00:00",
-          "2005-12-15T00:00:00",
-          "2005-12-16T00:00:00",
-          "2005-12-17T00:00:00",
-          "2005-12-18T00:00:00",
-          "2005-12-19T00:00:00",
-          "2005-12-20T00:00:00",
-          "2005-12-21T00:00:00",
-          "2005-12-22T00:00:00",
-          "2005-12-23T00:00:00",
-          "2005-12-24T00:00:00",
-          "2005-12-25T00:00:00",
-          "2005-12-26T00:00:00",
-          "2005-12-27T00:00:00",
-          "2005-12-28T00:00:00",
-          "2005-12-29T00:00:00",
-          "2005-12-30T00:00:00",
-          "2005-12-31T00:00:00",
-          "2006-01-01T00:00:00",
-          "2006-01-02T00:00:00",
-          "2006-01-03T00:00:00",
-          "2006-01-04T00:00:00",
-          "2006-01-05T00:00:00",
-          "2006-01-06T00:00:00",
-          "2006-01-07T00:00:00",
-          "2006-01-08T00:00:00",
-          "2006-01-09T00:00:00",
-          "2006-01-10T00:00:00",
-          "2006-01-11T00:00:00",
-          "2006-01-12T00:00:00",
-          "2006-01-13T00:00:00",
-          "2006-01-14T00:00:00",
-          "2006-01-15T00:00:00",
-          "2006-01-16T00:00:00",
-          "2006-01-17T00:00:00",
-          "2006-01-18T00:00:00",
-          "2006-01-19T00:00:00",
-          "2006-01-20T00:00:00",
-          "2006-01-21T00:00:00",
-          "2006-01-22T00:00:00",
-          "2006-01-23T00:00:00",
-          "2006-01-24T00:00:00",
-          "2006-01-25T00:00:00",
-          "2006-01-26T00:00:00",
-          "2006-01-27T00:00:00",
-          "2006-01-28T00:00:00",
-          "2006-01-29T00:00:00",
-          "2006-01-30T00:00:00",
-          "2006-01-31T00:00:00",
-          "2006-02-01T00:00:00",
-          "2006-02-02T00:00:00",
-          "2006-02-03T00:00:00",
-          "2006-02-04T00:00:00",
-          "2006-02-05T00:00:00",
-          "2006-02-06T00:00:00",
-          "2006-02-07T00:00:00",
-          "2006-02-08T00:00:00",
-          "2006-02-09T00:00:00",
-          "2006-02-10T00:00:00",
-          "2006-02-11T00:00:00",
-          "2006-02-12T00:00:00",
-          "2006-02-13T00:00:00",
-          "2006-02-14T00:00:00",
-          "2006-02-15T00:00:00",
-          "2006-02-16T00:00:00",
-          "2006-02-17T00:00:00",
-          "2006-02-18T00:00:00",
-          "2006-02-19T00:00:00",
-          "2006-02-20T00:00:00",
-          "2006-02-21T00:00:00",
-          "2006-02-22T00:00:00",
-          "2006-02-23T00:00:00",
-          "2006-02-24T00:00:00",
-          "2006-02-25T00:00:00",
-          "2006-02-26T00:00:00",
-          "2006-02-27T00:00:00",
-          "2006-02-28T00:00:00",
-          "2006-03-01T00:00:00",
-          "2006-03-02T00:00:00",
-          "2006-03-03T00:00:00",
-          "2006-03-04T00:00:00",
-          "2006-03-05T00:00:00",
-          "2006-03-06T00:00:00",
-          "2006-03-07T00:00:00",
-          "2006-03-08T00:00:00",
-          "2006-03-09T00:00:00",
-          "2006-03-10T00:00:00",
-          "2006-03-11T00:00:00",
-          "2006-03-12T00:00:00",
-          "2006-03-13T00:00:00",
-          "2006-03-14T00:00:00",
-          "2006-03-15T00:00:00",
-          "2006-03-16T00:00:00",
-          "2006-03-17T00:00:00",
-          "2006-03-18T00:00:00",
-          "2006-03-19T00:00:00",
-          "2006-03-20T00:00:00",
-          "2006-03-21T00:00:00",
-          "2006-03-22T00:00:00",
-          "2006-03-23T00:00:00",
-          "2006-03-24T00:00:00",
-          "2006-03-25T00:00:00",
-          "2006-03-26T00:00:00",
-          "2006-03-27T00:00:00",
-          "2006-03-28T00:00:00",
-          "2006-03-29T00:00:00",
-          "2006-03-30T00:00:00",
-          "2006-03-31T00:00:00",
-          "2006-04-01T00:00:00",
-          "2006-04-02T00:00:00",
-          "2006-04-03T00:00:00",
-          "2006-04-04T00:00:00",
-          "2006-04-05T00:00:00",
-          "2006-04-06T00:00:00",
-          "2006-04-07T00:00:00",
-          "2006-04-08T00:00:00",
-          "2006-04-09T00:00:00",
-          "2006-04-10T00:00:00",
-          "2006-04-11T00:00:00",
-          "2006-04-12T00:00:00",
-          "2006-04-13T00:00:00",
-          "2006-04-14T00:00:00",
-          "2006-04-15T00:00:00",
-          "2006-04-16T00:00:00",
-          "2006-04-17T00:00:00",
-          "2006-04-18T00:00:00",
-          "2006-04-19T00:00:00",
-          "2006-04-20T00:00:00",
-          "2006-04-21T00:00:00",
-          "2006-04-22T00:00:00",
-          "2006-04-23T00:00:00",
-          "2006-04-24T00:00:00",
-          "2006-04-25T00:00:00",
-          "2006-04-26T00:00:00",
-          "2006-04-27T00:00:00",
-          "2006-04-28T00:00:00",
-          "2006-04-29T00:00:00",
-          "2006-04-30T00:00:00",
-          "2006-05-01T00:00:00",
-          "2006-05-02T00:00:00",
-          "2006-05-03T00:00:00",
-          "2006-05-04T00:00:00",
-          "2006-05-05T00:00:00",
-          "2006-05-06T00:00:00",
-          "2006-05-07T00:00:00",
-          "2006-05-08T00:00:00",
-          "2006-05-09T00:00:00",
-          "2006-05-10T00:00:00",
-          "2006-05-11T00:00:00",
-          "2006-05-12T00:00:00",
-          "2006-05-13T00:00:00",
-          "2006-05-14T00:00:00",
-          "2006-05-15T00:00:00",
-          "2006-05-16T00:00:00",
-          "2006-05-17T00:00:00",
-          "2006-05-18T00:00:00",
-          "2006-05-19T00:00:00",
-          "2006-05-20T00:00:00",
-          "2006-05-21T00:00:00",
-          "2006-05-22T00:00:00",
-          "2006-05-23T00:00:00",
-          "2006-05-24T00:00:00",
-          "2006-05-25T00:00:00",
-          "2006-05-26T00:00:00",
-          "2006-05-27T00:00:00",
-          "2006-05-28T00:00:00",
-          "2006-05-29T00:00:00",
-          "2006-05-30T00:00:00",
-          "2006-05-31T00:00:00",
-          "2006-06-01T00:00:00",
-          "2006-06-02T00:00:00",
-          "2006-06-03T00:00:00",
-          "2006-06-04T00:00:00",
-          "2006-06-05T00:00:00",
-          "2006-06-06T00:00:00",
-          "2006-06-07T00:00:00",
-          "2006-06-08T00:00:00",
-          "2006-06-09T00:00:00",
-          "2006-06-10T00:00:00",
-          "2006-06-11T00:00:00",
-          "2006-06-12T00:00:00",
-          "2006-06-13T00:00:00",
-          "2006-06-14T00:00:00",
-          "2006-06-15T00:00:00",
-          "2006-06-16T00:00:00",
-          "2006-06-17T00:00:00",
-          "2006-06-18T00:00:00",
-          "2006-06-19T00:00:00",
-          "2006-06-20T00:00:00",
-          "2006-06-21T00:00:00",
-          "2006-06-22T00:00:00",
-          "2006-06-23T00:00:00",
-          "2006-06-24T00:00:00",
-          "2006-06-25T00:00:00",
-          "2006-06-26T00:00:00",
-          "2006-06-27T00:00:00",
-          "2006-06-28T00:00:00",
-          "2006-06-29T00:00:00",
-          "2006-06-30T00:00:00",
-          "2006-07-01T00:00:00",
-          "2006-07-02T00:00:00",
-          "2006-07-03T00:00:00",
-          "2006-07-04T00:00:00",
-          "2006-07-05T00:00:00",
-          "2006-07-06T00:00:00",
-          "2006-07-07T00:00:00",
-          "2006-07-08T00:00:00",
-          "2006-07-09T00:00:00",
-          "2006-07-10T00:00:00",
-          "2006-07-11T00:00:00",
-          "2006-07-12T00:00:00",
-          "2006-07-13T00:00:00",
-          "2006-07-14T00:00:00",
-          "2006-07-15T00:00:00",
-          "2006-07-16T00:00:00",
-          "2006-07-17T00:00:00",
-          "2006-07-18T00:00:00",
-          "2006-07-19T00:00:00",
-          "2006-07-20T00:00:00",
-          "2006-07-21T00:00:00",
-          "2006-07-22T00:00:00",
-          "2006-07-23T00:00:00",
-          "2006-07-24T00:00:00",
-          "2006-07-25T00:00:00",
-          "2006-07-26T00:00:00",
-          "2006-07-27T00:00:00",
-          "2006-07-28T00:00:00",
-          "2006-07-29T00:00:00",
-          "2006-07-30T00:00:00",
-          "2006-07-31T00:00:00",
-          "2006-08-01T00:00:00",
-          "2006-08-02T00:00:00",
-          "2006-08-03T00:00:00",
-          "2006-08-04T00:00:00",
-          "2006-08-05T00:00:00",
-          "2006-08-06T00:00:00",
-          "2006-08-07T00:00:00",
-          "2006-08-08T00:00:00",
-          "2006-08-09T00:00:00",
-          "2006-08-10T00:00:00",
-          "2006-08-11T00:00:00",
-          "2006-08-12T00:00:00",
-          "2006-08-13T00:00:00",
-          "2006-08-14T00:00:00",
-          "2006-08-15T00:00:00",
-          "2006-08-16T00:00:00",
-          "2006-08-17T00:00:00",
-          "2006-08-18T00:00:00",
-          "2006-08-19T00:00:00",
-          "2006-08-20T00:00:00",
-          "2006-08-21T00:00:00",
-          "2006-08-22T00:00:00",
-          "2006-08-23T00:00:00",
-          "2006-08-24T00:00:00",
-          "2006-08-25T00:00:00",
-          "2006-08-26T00:00:00",
-          "2006-08-27T00:00:00",
-          "2006-08-28T00:00:00",
-          "2006-08-29T00:00:00",
-          "2006-08-30T00:00:00",
-          "2006-08-31T00:00:00",
-          "2006-09-01T00:00:00",
-          "2006-09-02T00:00:00",
-          "2006-09-03T00:00:00",
-          "2006-09-04T00:00:00",
-          "2006-09-05T00:00:00",
-          "2006-09-06T00:00:00",
-          "2006-09-07T00:00:00",
-          "2006-09-08T00:00:00",
-          "2006-09-09T00:00:00",
-          "2006-09-10T00:00:00",
-          "2006-09-11T00:00:00",
-          "2006-09-12T00:00:00",
-          "2006-09-13T00:00:00",
-          "2006-09-14T00:00:00",
-          "2006-09-15T00:00:00",
-          "2006-09-16T00:00:00",
-          "2006-09-17T00:00:00",
-          "2006-09-18T00:00:00",
-          "2006-09-19T00:00:00",
-          "2006-09-20T00:00:00",
-          "2006-09-21T00:00:00",
-          "2006-09-22T00:00:00",
-          "2006-09-23T00:00:00",
-          "2006-09-24T00:00:00",
-          "2006-09-25T00:00:00",
-          "2006-09-26T00:00:00",
-          "2006-09-27T00:00:00",
-          "2006-09-28T00:00:00",
-          "2006-09-29T00:00:00",
-          "2006-09-30T00:00:00",
-          "2006-10-01T00:00:00",
-          "2006-10-02T00:00:00",
-          "2006-10-03T00:00:00",
-          "2006-10-04T00:00:00",
-          "2006-10-05T00:00:00",
-          "2006-10-06T00:00:00",
-          "2006-10-07T00:00:00",
-          "2006-10-08T00:00:00",
-          "2006-10-09T00:00:00",
-          "2006-10-10T00:00:00",
-          "2006-10-11T00:00:00",
-          "2006-10-12T00:00:00",
-          "2006-10-13T00:00:00",
-          "2006-10-14T00:00:00",
-          "2006-10-15T00:00:00",
-          "2006-10-16T00:00:00",
-          "2006-10-17T00:00:00",
-          "2006-10-18T00:00:00",
-          "2006-10-19T00:00:00",
-          "2006-10-20T00:00:00",
-          "2006-10-21T00:00:00",
-          "2006-10-22T00:00:00",
-          "2006-10-23T00:00:00",
-          "2006-10-24T00:00:00",
-          "2006-10-25T00:00:00",
-          "2006-10-26T00:00:00",
-          "2006-10-27T00:00:00",
-          "2006-10-28T00:00:00",
-          "2006-10-29T00:00:00",
-          "2006-10-30T00:00:00",
-          "2006-10-31T00:00:00",
-          "2006-11-01T00:00:00",
-          "2006-11-02T00:00:00",
-          "2006-11-03T00:00:00",
-          "2006-11-04T00:00:00",
-          "2006-11-05T00:00:00",
-          "2006-11-06T00:00:00",
-          "2006-11-07T00:00:00",
-          "2006-11-08T00:00:00",
-          "2006-11-09T00:00:00",
-          "2006-11-10T00:00:00",
-          "2006-11-11T00:00:00",
-          "2006-11-12T00:00:00",
-          "2006-11-13T00:00:00",
-          "2006-11-14T00:00:00",
-          "2006-11-15T00:00:00",
-          "2006-11-16T00:00:00",
-          "2006-11-17T00:00:00",
-          "2006-11-18T00:00:00",
-          "2006-11-19T00:00:00",
-          "2006-11-20T00:00:00",
-          "2006-11-21T00:00:00",
-          "2006-11-22T00:00:00",
-          "2006-11-23T00:00:00",
-          "2006-11-24T00:00:00",
-          "2006-11-25T00:00:00",
-          "2006-11-26T00:00:00",
-          "2006-11-27T00:00:00",
-          "2006-11-28T00:00:00",
-          "2006-11-29T00:00:00",
-          "2006-11-30T00:00:00",
-          "2006-12-01T00:00:00",
-          "2006-12-02T00:00:00",
-          "2006-12-03T00:00:00",
-          "2006-12-04T00:00:00",
-          "2006-12-05T00:00:00",
-          "2006-12-06T00:00:00",
-          "2006-12-07T00:00:00",
-          "2006-12-08T00:00:00",
-          "2006-12-09T00:00:00",
-          "2006-12-10T00:00:00",
-          "2006-12-11T00:00:00",
-          "2006-12-12T00:00:00",
-          "2006-12-13T00:00:00",
-          "2006-12-14T00:00:00",
-          "2006-12-15T00:00:00",
-          "2006-12-16T00:00:00",
-          "2006-12-17T00:00:00",
-          "2006-12-18T00:00:00",
-          "2006-12-19T00:00:00",
-          "2006-12-20T00:00:00",
-          "2006-12-21T00:00:00",
-          "2006-12-22T00:00:00",
-          "2006-12-23T00:00:00",
-          "2006-12-24T00:00:00",
-          "2006-12-25T00:00:00",
-          "2006-12-26T00:00:00",
-          "2006-12-27T00:00:00",
-          "2006-12-28T00:00:00",
-          "2006-12-29T00:00:00",
-          "2006-12-30T00:00:00",
-          "2006-12-31T00:00:00",
-          "2007-01-01T00:00:00",
-          "2007-01-02T00:00:00",
-          "2007-01-03T00:00:00",
-          "2007-01-04T00:00:00",
-          "2007-01-05T00:00:00",
-          "2007-01-06T00:00:00",
-          "2007-01-07T00:00:00",
-          "2007-01-08T00:00:00",
-          "2007-01-09T00:00:00",
-          "2007-01-10T00:00:00",
-          "2007-01-11T00:00:00",
-          "2007-01-12T00:00:00",
-          "2007-01-13T00:00:00",
-          "2007-01-14T00:00:00",
-          "2007-01-15T00:00:00",
-          "2007-01-16T00:00:00",
-          "2007-01-17T00:00:00",
-          "2007-01-18T00:00:00",
-          "2007-01-19T00:00:00",
-          "2007-01-20T00:00:00",
-          "2007-01-21T00:00:00",
-          "2007-01-22T00:00:00",
-          "2007-01-23T00:00:00",
-          "2007-01-24T00:00:00",
-          "2007-01-25T00:00:00",
-          "2007-01-26T00:00:00",
-          "2007-01-27T00:00:00",
-          "2007-01-28T00:00:00",
-          "2007-01-29T00:00:00",
-          "2007-01-30T00:00:00",
-          "2007-01-31T00:00:00",
-          "2007-02-01T00:00:00",
-          "2007-02-02T00:00:00",
-          "2007-02-03T00:00:00",
-          "2007-02-04T00:00:00",
-          "2007-02-05T00:00:00",
-          "2007-02-06T00:00:00",
-          "2007-02-07T00:00:00",
-          "2007-02-08T00:00:00",
-          "2007-02-09T00:00:00",
-          "2007-02-10T00:00:00",
-          "2007-02-11T00:00:00",
-          "2007-02-12T00:00:00",
-          "2007-02-13T00:00:00",
-          "2007-02-14T00:00:00",
-          "2007-02-15T00:00:00",
-          "2007-02-16T00:00:00",
-          "2007-02-17T00:00:00",
-          "2007-02-18T00:00:00",
-          "2007-02-19T00:00:00",
-          "2007-02-20T00:00:00",
-          "2007-02-21T00:00:00",
-          "2007-02-22T00:00:00",
-          "2007-02-23T00:00:00",
-          "2007-02-24T00:00:00",
-          "2007-02-25T00:00:00",
-          "2007-02-26T00:00:00",
-          "2007-02-27T00:00:00",
-          "2007-02-28T00:00:00",
-          "2007-03-01T00:00:00",
-          "2007-03-02T00:00:00",
-          "2007-03-03T00:00:00",
-          "2007-03-04T00:00:00",
-          "2007-03-05T00:00:00",
-          "2007-03-06T00:00:00",
-          "2007-03-07T00:00:00",
-          "2007-03-08T00:00:00",
-          "2007-03-09T00:00:00",
-          "2007-03-10T00:00:00",
-          "2007-03-11T00:00:00",
-          "2007-03-12T00:00:00",
-          "2007-03-13T00:00:00",
-          "2007-03-14T00:00:00",
-          "2007-03-15T00:00:00",
-          "2007-03-16T00:00:00",
-          "2007-03-17T00:00:00",
-          "2007-03-18T00:00:00",
-          "2007-03-19T00:00:00",
-          "2007-03-20T00:00:00",
-          "2007-03-21T00:00:00",
-          "2007-03-22T00:00:00",
-          "2007-03-23T00:00:00",
-          "2007-03-24T00:00:00",
-          "2007-03-25T00:00:00",
-          "2007-03-26T00:00:00",
-          "2007-03-27T00:00:00",
-          "2007-03-28T00:00:00",
-          "2007-03-29T00:00:00",
-          "2007-03-30T00:00:00",
-          "2007-03-31T00:00:00",
-          "2007-04-01T00:00:00",
-          "2007-04-02T00:00:00",
-          "2007-04-03T00:00:00",
-          "2007-04-04T00:00:00",
-          "2007-04-05T00:00:00",
-          "2007-04-06T00:00:00",
-          "2007-04-07T00:00:00",
-          "2007-04-08T00:00:00",
-          "2007-04-09T00:00:00",
-          "2007-04-10T00:00:00",
-          "2007-04-11T00:00:00",
-          "2007-04-12T00:00:00",
-          "2007-04-13T00:00:00",
-          "2007-04-14T00:00:00",
-          "2007-04-15T00:00:00",
-          "2007-04-16T00:00:00",
-          "2007-04-17T00:00:00",
-          "2007-04-18T00:00:00",
-          "2007-04-19T00:00:00",
-          "2007-04-20T00:00:00",
-          "2007-04-21T00:00:00",
-          "2007-04-22T00:00:00",
-          "2007-04-23T00:00:00",
-          "2007-04-24T00:00:00",
-          "2007-04-25T00:00:00",
-          "2007-04-26T00:00:00",
-          "2007-04-27T00:00:00",
-          "2007-04-28T00:00:00",
-          "2007-04-29T00:00:00",
-          "2007-04-30T00:00:00",
-          "2007-05-01T00:00:00",
-          "2007-05-02T00:00:00",
-          "2007-05-03T00:00:00",
-          "2007-05-04T00:00:00",
-          "2007-05-05T00:00:00",
-          "2007-05-06T00:00:00",
-          "2007-05-07T00:00:00",
-          "2007-05-08T00:00:00",
-          "2007-05-09T00:00:00",
-          "2007-05-10T00:00:00",
-          "2007-05-11T00:00:00",
-          "2007-05-12T00:00:00",
-          "2007-05-13T00:00:00",
-          "2007-05-14T00:00:00",
-          "2007-05-15T00:00:00",
-          "2007-05-16T00:00:00",
-          "2007-05-17T00:00:00",
-          "2007-05-18T00:00:00",
-          "2007-05-19T00:00:00",
-          "2007-05-20T00:00:00",
-          "2007-05-21T00:00:00",
-          "2007-05-22T00:00:00",
-          "2007-05-23T00:00:00",
-          "2007-05-24T00:00:00",
-          "2007-05-25T00:00:00",
-          "2007-05-26T00:00:00",
-          "2007-05-27T00:00:00",
-          "2007-05-28T00:00:00",
-          "2007-05-29T00:00:00",
-          "2007-05-30T00:00:00",
-          "2007-05-31T00:00:00",
-          "2007-06-01T00:00:00",
-          "2007-06-02T00:00:00",
-          "2007-06-03T00:00:00",
-          "2007-06-04T00:00:00",
-          "2007-06-05T00:00:00",
-          "2007-06-06T00:00:00",
-          "2007-06-07T00:00:00",
-          "2007-06-08T00:00:00",
-          "2007-06-09T00:00:00",
-          "2007-06-10T00:00:00",
-          "2007-06-11T00:00:00",
-          "2007-06-12T00:00:00",
-          "2007-06-13T00:00:00",
-          "2007-06-14T00:00:00",
-          "2007-06-15T00:00:00",
-          "2007-06-16T00:00:00",
-          "2007-06-17T00:00:00",
-          "2007-06-18T00:00:00",
-          "2007-06-19T00:00:00",
-          "2007-06-20T00:00:00",
-          "2007-06-21T00:00:00",
-          "2007-06-22T00:00:00",
-          "2007-06-23T00:00:00",
-          "2007-06-24T00:00:00",
-          "2007-06-25T00:00:00",
-          "2007-06-26T00:00:00",
-          "2007-06-27T00:00:00",
-          "2007-06-28T00:00:00",
-          "2007-06-29T00:00:00",
-          "2007-06-30T00:00:00",
-          "2007-07-01T00:00:00",
-          "2007-07-02T00:00:00",
-          "2007-07-03T00:00:00",
-          "2007-07-04T00:00:00",
-          "2007-07-05T00:00:00",
-          "2007-07-06T00:00:00",
-          "2007-07-07T00:00:00",
-          "2007-07-08T00:00:00",
-          "2007-07-09T00:00:00",
-          "2007-07-10T00:00:00",
-          "2007-07-11T00:00:00",
-          "2007-07-12T00:00:00",
-          "2007-07-13T00:00:00",
-          "2007-07-14T00:00:00",
-          "2007-07-15T00:00:00",
-          "2007-07-16T00:00:00",
-          "2007-07-17T00:00:00",
-          "2007-07-18T00:00:00",
-          "2007-07-19T00:00:00",
-          "2007-07-20T00:00:00",
-          "2007-07-21T00:00:00",
-          "2007-07-22T00:00:00",
-          "2007-07-23T00:00:00",
-          "2007-07-24T00:00:00",
-          "2007-07-25T00:00:00",
-          "2007-07-26T00:00:00",
-          "2007-07-27T00:00:00",
-          "2007-07-28T00:00:00",
-          "2007-07-29T00:00:00",
-          "2007-07-30T00:00:00",
-          "2007-07-31T00:00:00",
-          "2007-08-01T00:00:00",
-          "2007-08-02T00:00:00",
-          "2007-08-03T00:00:00",
-          "2007-08-04T00:00:00",
-          "2007-08-05T00:00:00",
-          "2007-08-06T00:00:00",
-          "2007-08-07T00:00:00",
-          "2007-08-08T00:00:00",
-          "2007-08-09T00:00:00",
-          "2007-08-10T00:00:00",
-          "2007-08-11T00:00:00",
-          "2007-08-12T00:00:00",
-          "2007-08-13T00:00:00",
-          "2007-08-14T00:00:00",
-          "2007-08-15T00:00:00",
-          "2007-08-16T00:00:00",
-          "2007-08-17T00:00:00",
-          "2007-08-18T00:00:00",
-          "2007-08-19T00:00:00",
-          "2007-08-20T00:00:00",
-          "2007-08-21T00:00:00",
-          "2007-08-22T00:00:00",
-          "2007-08-23T00:00:00",
-          "2007-08-24T00:00:00",
-          "2007-08-25T00:00:00",
-          "2007-08-26T00:00:00",
-          "2007-08-27T00:00:00",
-          "2007-08-28T00:00:00",
-          "2007-08-29T00:00:00",
-          "2007-08-30T00:00:00",
-          "2007-08-31T00:00:00",
-          "2007-09-01T00:00:00",
-          "2007-09-02T00:00:00",
-          "2007-09-03T00:00:00",
-          "2007-09-04T00:00:00",
-          "2007-09-05T00:00:00",
-          "2007-09-06T00:00:00",
-          "2007-09-07T00:00:00",
-          "2007-09-08T00:00:00",
-          "2007-09-09T00:00:00",
-          "2007-09-10T00:00:00",
-          "2007-09-11T00:00:00",
-          "2007-09-12T00:00:00",
-          "2007-09-13T00:00:00",
-          "2007-09-14T00:00:00",
-          "2007-09-15T00:00:00",
-          "2007-09-16T00:00:00",
-          "2007-09-17T00:00:00",
-          "2007-09-18T00:00:00",
-          "2007-09-19T00:00:00",
-          "2007-09-20T00:00:00",
-          "2007-09-21T00:00:00",
-          "2007-09-22T00:00:00",
-          "2007-09-23T00:00:00",
-          "2007-09-24T00:00:00",
-          "2007-09-25T00:00:00",
-          "2007-09-26T00:00:00",
-          "2007-09-27T00:00:00",
-          "2007-09-28T00:00:00",
-          "2007-09-29T00:00:00",
-          "2007-09-30T00:00:00",
-          "2007-10-01T00:00:00",
-          "2007-10-02T00:00:00",
-          "2007-10-03T00:00:00",
-          "2007-10-04T00:00:00",
-          "2007-10-05T00:00:00",
-          "2007-10-06T00:00:00",
-          "2007-10-07T00:00:00",
-          "2007-10-08T00:00:00",
-          "2007-10-09T00:00:00",
-          "2007-10-10T00:00:00",
-          "2007-10-11T00:00:00",
-          "2007-10-12T00:00:00",
-          "2007-10-13T00:00:00",
-          "2007-10-14T00:00:00",
-          "2007-10-15T00:00:00",
-          "2007-10-16T00:00:00",
-          "2007-10-17T00:00:00",
-          "2007-10-18T00:00:00",
-          "2007-10-19T00:00:00",
-          "2007-10-20T00:00:00",
-          "2007-10-21T00:00:00",
-          "2007-10-22T00:00:00",
-          "2007-10-23T00:00:00",
-          "2007-10-24T00:00:00",
-          "2007-10-25T00:00:00",
-          "2007-10-26T00:00:00",
-          "2007-10-27T00:00:00",
-          "2007-10-28T00:00:00",
-          "2007-10-29T00:00:00",
-          "2007-10-30T00:00:00",
-          "2007-10-31T00:00:00",
-          "2007-11-01T00:00:00",
-          "2007-11-02T00:00:00",
-          "2007-11-03T00:00:00",
-          "2007-11-04T00:00:00",
-          "2007-11-05T00:00:00",
-          "2007-11-06T00:00:00",
-          "2007-11-07T00:00:00",
-          "2007-11-08T00:00:00",
-          "2007-11-09T00:00:00",
-          "2007-11-10T00:00:00",
-          "2007-11-11T00:00:00",
-          "2007-11-12T00:00:00",
-          "2007-11-13T00:00:00",
-          "2007-11-14T00:00:00",
-          "2007-11-15T00:00:00",
-          "2007-11-16T00:00:00",
-          "2007-11-17T00:00:00",
-          "2007-11-18T00:00:00",
-          "2007-11-19T00:00:00",
-          "2007-11-20T00:00:00",
-          "2007-11-21T00:00:00",
-          "2007-11-22T00:00:00",
-          "2007-11-23T00:00:00",
-          "2007-11-24T00:00:00",
-          "2007-11-25T00:00:00",
-          "2007-11-26T00:00:00",
-          "2007-11-27T00:00:00",
-          "2007-11-28T00:00:00",
-          "2007-11-29T00:00:00",
-          "2007-11-30T00:00:00",
-          "2007-12-01T00:00:00",
-          "2007-12-02T00:00:00",
-          "2007-12-03T00:00:00",
-          "2007-12-04T00:00:00",
-          "2007-12-05T00:00:00",
-          "2007-12-06T00:00:00",
-          "2007-12-07T00:00:00",
-          "2007-12-08T00:00:00",
-          "2007-12-09T00:00:00",
-          "2007-12-10T00:00:00",
-          "2007-12-11T00:00:00",
-          "2007-12-12T00:00:00",
-          "2007-12-13T00:00:00",
-          "2007-12-14T00:00:00",
-          "2007-12-15T00:00:00",
-          "2007-12-16T00:00:00",
-          "2007-12-17T00:00:00",
-          "2007-12-18T00:00:00",
-          "2007-12-19T00:00:00",
-          "2007-12-20T00:00:00",
-          "2007-12-21T00:00:00",
-          "2007-12-22T00:00:00",
-          "2007-12-23T00:00:00",
-          "2007-12-24T00:00:00",
-          "2007-12-25T00:00:00",
-          "2007-12-26T00:00:00",
-          "2007-12-27T00:00:00",
-          "2007-12-28T00:00:00",
-          "2007-12-29T00:00:00",
-          "2007-12-30T00:00:00",
-          "2007-12-31T00:00:00",
-          "2008-01-01T00:00:00",
-          "2008-01-02T00:00:00",
-          "2008-01-03T00:00:00",
-          "2008-01-04T00:00:00",
-          "2008-01-05T00:00:00",
-          "2008-01-06T00:00:00",
-          "2008-01-07T00:00:00",
-          "2008-01-08T00:00:00",
-          "2008-01-09T00:00:00",
-          "2008-01-10T00:00:00",
-          "2008-01-11T00:00:00",
-          "2008-01-12T00:00:00",
-          "2008-01-13T00:00:00",
-          "2008-01-14T00:00:00",
-          "2008-01-15T00:00:00",
-          "2008-01-16T00:00:00",
-          "2008-01-17T00:00:00",
-          "2008-01-18T00:00:00",
-          "2008-01-19T00:00:00",
-          "2008-01-20T00:00:00",
-          "2008-01-21T00:00:00",
-          "2008-01-22T00:00:00",
-          "2008-01-23T00:00:00",
-          "2008-01-24T00:00:00",
-          "2008-01-25T00:00:00",
-          "2008-01-26T00:00:00",
-          "2008-01-27T00:00:00",
-          "2008-01-28T00:00:00",
-          "2008-01-29T00:00:00",
-          "2008-01-30T00:00:00",
-          "2008-01-31T00:00:00",
-          "2008-02-01T00:00:00",
-          "2008-02-02T00:00:00",
-          "2008-02-03T00:00:00",
-          "2008-02-04T00:00:00",
-          "2008-02-05T00:00:00",
-          "2008-02-06T00:00:00",
-          "2008-02-07T00:00:00",
-          "2008-02-08T00:00:00",
-          "2008-02-09T00:00:00",
-          "2008-02-10T00:00:00",
-          "2008-02-11T00:00:00",
-          "2008-02-12T00:00:00",
-          "2008-02-13T00:00:00",
-          "2008-02-14T00:00:00",
-          "2008-02-15T00:00:00",
-          "2008-02-16T00:00:00",
-          "2008-02-17T00:00:00",
-          "2008-02-18T00:00:00",
-          "2008-02-19T00:00:00",
-          "2008-02-20T00:00:00",
-          "2008-02-21T00:00:00",
-          "2008-02-22T00:00:00",
-          "2008-02-23T00:00:00",
-          "2008-02-24T00:00:00",
-          "2008-02-25T00:00:00",
-          "2008-02-26T00:00:00",
-          "2008-02-27T00:00:00",
-          "2008-02-28T00:00:00",
-          "2008-02-29T00:00:00",
-          "2008-03-01T00:00:00",
-          "2008-03-02T00:00:00",
-          "2008-03-03T00:00:00",
-          "2008-03-04T00:00:00",
-          "2008-03-05T00:00:00",
-          "2008-03-06T00:00:00",
-          "2008-03-07T00:00:00",
-          "2008-03-08T00:00:00",
-          "2008-03-09T00:00:00",
-          "2008-03-10T00:00:00",
-          "2008-03-11T00:00:00",
-          "2008-03-12T00:00:00",
-          "2008-03-13T00:00:00",
-          "2008-03-14T00:00:00",
-          "2008-03-15T00:00:00",
-          "2008-03-16T00:00:00",
-          "2008-03-17T00:00:00",
-          "2008-03-18T00:00:00",
-          "2008-03-19T00:00:00",
-          "2008-03-20T00:00:00",
-          "2008-03-21T00:00:00",
-          "2008-03-22T00:00:00",
-          "2008-03-23T00:00:00",
-          "2008-03-24T00:00:00",
-          "2008-03-25T00:00:00",
-          "2008-03-26T00:00:00",
-          "2008-03-27T00:00:00",
-          "2008-03-28T00:00:00",
-          "2008-03-29T00:00:00",
-          "2008-03-30T00:00:00",
-          "2008-03-31T00:00:00",
-          "2008-04-01T00:00:00",
-          "2008-04-02T00:00:00",
-          "2008-04-03T00:00:00",
-          "2008-04-04T00:00:00",
-          "2008-04-05T00:00:00",
-          "2008-04-06T00:00:00",
-          "2008-04-07T00:00:00",
-          "2008-04-08T00:00:00",
-          "2008-04-09T00:00:00",
-          "2008-04-10T00:00:00",
-          "2008-04-11T00:00:00",
-          "2008-04-12T00:00:00",
-          "2008-04-13T00:00:00",
-          "2008-04-14T00:00:00",
-          "2008-04-15T00:00:00",
-          "2008-04-16T00:00:00",
-          "2008-04-17T00:00:00",
-          "2008-04-18T00:00:00",
-          "2008-04-19T00:00:00",
-          "2008-04-20T00:00:00",
-          "2008-04-21T00:00:00",
-          "2008-04-22T00:00:00",
-          "2008-04-23T00:00:00",
-          "2008-04-24T00:00:00",
-          "2008-04-25T00:00:00",
-          "2008-04-26T00:00:00",
-          "2008-04-27T00:00:00",
-          "2008-04-28T00:00:00",
-          "2008-04-29T00:00:00",
-          "2008-04-30T00:00:00",
-          "2008-05-01T00:00:00",
-          "2008-05-02T00:00:00",
-          "2008-05-03T00:00:00",
-          "2008-05-04T00:00:00",
-          "2008-05-05T00:00:00",
-          "2008-05-06T00:00:00",
-          "2008-05-07T00:00:00",
-          "2008-05-08T00:00:00",
-          "2008-05-09T00:00:00",
-          "2008-05-10T00:00:00",
-          "2008-05-11T00:00:00",
-          "2008-05-12T00:00:00",
-          "2008-05-13T00:00:00",
-          "2008-05-14T00:00:00",
-          "2008-05-15T00:00:00",
-          "2008-05-16T00:00:00",
-          "2008-05-17T00:00:00",
-          "2008-05-18T00:00:00",
-          "2008-05-19T00:00:00",
-          "2008-05-20T00:00:00",
-          "2008-05-21T00:00:00",
-          "2008-05-22T00:00:00",
-          "2008-05-23T00:00:00",
-          "2008-05-24T00:00:00",
-          "2008-05-25T00:00:00",
-          "2008-05-26T00:00:00",
-          "2008-05-27T00:00:00",
-          "2008-05-28T00:00:00",
-          "2008-05-29T00:00:00",
-          "2008-05-30T00:00:00",
-          "2008-05-31T00:00:00",
-          "2008-06-01T00:00:00",
-          "2008-06-02T00:00:00",
-          "2008-06-03T00:00:00",
-          "2008-06-04T00:00:00",
-          "2008-06-05T00:00:00",
-          "2008-06-06T00:00:00",
-          "2008-06-07T00:00:00",
-          "2008-06-08T00:00:00",
-          "2008-06-09T00:00:00",
-          "2008-06-10T00:00:00",
-          "2008-06-11T00:00:00",
-          "2008-06-12T00:00:00",
-          "2008-06-13T00:00:00",
-          "2008-06-14T00:00:00",
-          "2008-06-15T00:00:00",
-          "2008-06-16T00:00:00",
-          "2008-06-17T00:00:00",
-          "2008-06-18T00:00:00",
-          "2008-06-19T00:00:00",
-          "2008-06-20T00:00:00",
-          "2008-06-21T00:00:00",
-          "2008-06-22T00:00:00",
-          "2008-06-23T00:00:00",
-          "2008-06-24T00:00:00",
-          "2008-06-25T00:00:00",
-          "2008-06-26T00:00:00",
-          "2008-06-27T00:00:00",
-          "2008-06-28T00:00:00",
-          "2008-06-29T00:00:00",
-          "2008-06-30T00:00:00",
-          "2008-07-01T00:00:00",
-          "2008-07-02T00:00:00",
-          "2008-07-03T00:00:00",
-          "2008-07-04T00:00:00",
-          "2008-07-05T00:00:00",
-          "2008-07-06T00:00:00",
-          "2008-07-07T00:00:00",
-          "2008-07-08T00:00:00",
-          "2008-07-09T00:00:00",
-          "2008-07-10T00:00:00",
-          "2008-07-11T00:00:00",
-          "2008-07-12T00:00:00",
-          "2008-07-13T00:00:00",
-          "2008-07-14T00:00:00",
-          "2008-07-15T00:00:00",
-          "2008-07-16T00:00:00",
-          "2008-07-17T00:00:00",
-          "2008-07-18T00:00:00",
-          "2008-07-19T00:00:00",
-          "2008-07-20T00:00:00",
-          "2008-07-21T00:00:00",
-          "2008-07-22T00:00:00",
-          "2008-07-23T00:00:00",
-          "2008-07-24T00:00:00",
-          "2008-07-25T00:00:00",
-          "2008-07-26T00:00:00",
-          "2008-07-27T00:00:00",
-          "2008-07-28T00:00:00",
-          "2008-07-29T00:00:00",
-          "2008-07-30T00:00:00",
-          "2008-07-31T00:00:00",
-          "2008-08-01T00:00:00",
-          "2008-08-02T00:00:00",
-          "2008-08-03T00:00:00",
-          "2008-08-04T00:00:00",
-          "2008-08-05T00:00:00",
-          "2008-08-06T00:00:00",
-          "2008-08-07T00:00:00",
-          "2008-08-08T00:00:00",
-          "2008-08-09T00:00:00",
-          "2008-08-10T00:00:00",
-          "2008-08-11T00:00:00",
-          "2008-08-12T00:00:00",
-          "2008-08-13T00:00:00",
-          "2008-08-14T00:00:00",
-          "2008-08-15T00:00:00",
-          "2008-08-16T00:00:00",
-          "2008-08-17T00:00:00",
-          "2008-08-18T00:00:00",
-          "2008-08-19T00:00:00",
-          "2008-08-20T00:00:00",
-          "2008-08-21T00:00:00",
-          "2008-08-22T00:00:00",
-          "2008-08-23T00:00:00",
-          "2008-08-24T00:00:00",
-          "2008-08-25T00:00:00",
-          "2008-08-26T00:00:00",
-          "2008-08-27T00:00:00",
-          "2008-08-28T00:00:00",
-          "2008-08-29T00:00:00",
-          "2008-08-30T00:00:00",
-          "2008-08-31T00:00:00",
-          "2008-09-01T00:00:00",
-          "2008-09-02T00:00:00",
-          "2008-09-03T00:00:00",
-          "2008-09-04T00:00:00",
-          "2008-09-05T00:00:00",
-          "2008-09-06T00:00:00",
-          "2008-09-07T00:00:00",
-          "2008-09-08T00:00:00",
-          "2008-09-09T00:00:00",
-          "2008-09-10T00:00:00",
-          "2008-09-11T00:00:00",
-          "2008-09-12T00:00:00",
-          "2008-09-13T00:00:00",
-          "2008-09-14T00:00:00",
-          "2008-09-15T00:00:00",
-          "2008-09-16T00:00:00",
-          "2008-09-17T00:00:00",
-          "2008-09-18T00:00:00",
-          "2008-09-19T00:00:00",
-          "2008-09-20T00:00:00",
-          "2008-09-21T00:00:00",
-          "2008-09-22T00:00:00",
-          "2008-09-23T00:00:00",
-          "2008-09-24T00:00:00",
-          "2008-09-25T00:00:00",
-          "2008-09-26T00:00:00",
-          "2008-09-27T00:00:00",
-          "2008-09-28T00:00:00",
-          "2008-09-29T00:00:00",
-          "2008-09-30T00:00:00",
-          "2008-10-01T00:00:00",
-          "2008-10-02T00:00:00",
-          "2008-10-03T00:00:00",
-          "2008-10-04T00:00:00",
-          "2008-10-05T00:00:00",
-          "2008-10-06T00:00:00",
-          "2008-10-07T00:00:00",
-          "2008-10-08T00:00:00",
-          "2008-10-09T00:00:00",
-          "2008-10-10T00:00:00",
-          "2008-10-11T00:00:00",
-          "2008-10-12T00:00:00",
-          "2008-10-13T00:00:00",
-          "2008-10-14T00:00:00",
-          "2008-10-15T00:00:00",
-          "2008-10-16T00:00:00",
-          "2008-10-17T00:00:00",
-          "2008-10-18T00:00:00",
-          "2008-10-19T00:00:00",
-          "2008-10-20T00:00:00",
-          "2008-10-21T00:00:00",
-          "2008-10-22T00:00:00",
-          "2008-10-23T00:00:00",
-          "2008-10-24T00:00:00",
-          "2008-10-25T00:00:00",
-          "2008-10-26T00:00:00",
-          "2008-10-27T00:00:00",
-          "2008-10-28T00:00:00",
-          "2008-10-29T00:00:00",
-          "2008-10-30T00:00:00",
-          "2008-10-31T00:00:00",
-          "2008-11-01T00:00:00",
-          "2008-11-02T00:00:00",
-          "2008-11-03T00:00:00",
-          "2008-11-04T00:00:00",
-          "2008-11-05T00:00:00",
-          "2008-11-06T00:00:00",
-          "2008-11-07T00:00:00",
-          "2008-11-08T00:00:00",
-          "2008-11-09T00:00:00",
-          "2008-11-10T00:00:00",
-          "2008-11-11T00:00:00",
-          "2008-11-12T00:00:00",
-          "2008-11-13T00:00:00",
-          "2008-11-14T00:00:00",
-          "2008-11-15T00:00:00",
-          "2008-11-16T00:00:00",
-          "2008-11-17T00:00:00",
-          "2008-11-18T00:00:00",
-          "2008-11-19T00:00:00",
-          "2008-11-20T00:00:00",
-          "2008-11-21T00:00:00",
-          "2008-11-22T00:00:00",
-          "2008-11-23T00:00:00",
-          "2008-11-24T00:00:00",
-          "2008-11-25T00:00:00",
-          "2008-11-26T00:00:00",
-          "2008-11-27T00:00:00",
-          "2008-11-28T00:00:00",
-          "2008-11-29T00:00:00",
-          "2008-11-30T00:00:00",
-          "2008-12-01T00:00:00",
-          "2008-12-02T00:00:00",
-          "2008-12-03T00:00:00",
-          "2008-12-04T00:00:00",
-          "2008-12-05T00:00:00",
-          "2008-12-06T00:00:00",
-          "2008-12-07T00:00:00",
-          "2008-12-08T00:00:00",
-          "2008-12-09T00:00:00",
-          "2008-12-10T00:00:00",
-          "2008-12-11T00:00:00",
-          "2008-12-12T00:00:00",
-          "2008-12-13T00:00:00",
-          "2008-12-14T00:00:00",
-          "2008-12-15T00:00:00",
-          "2008-12-16T00:00:00",
-          "2008-12-17T00:00:00",
-          "2008-12-18T00:00:00",
-          "2008-12-19T00:00:00",
-          "2008-12-20T00:00:00",
-          "2008-12-21T00:00:00",
-          "2008-12-22T00:00:00",
-          "2008-12-23T00:00:00",
-          "2008-12-24T00:00:00",
-          "2008-12-25T00:00:00",
-          "2008-12-26T00:00:00",
-          "2008-12-27T00:00:00",
-          "2008-12-28T00:00:00",
-          "2008-12-29T00:00:00",
-          "2008-12-30T00:00:00",
-          "2008-12-31T00:00:00",
-          "2009-01-01T00:00:00",
-          "2009-01-02T00:00:00",
-          "2009-01-03T00:00:00",
-          "2009-01-04T00:00:00",
-          "2009-01-05T00:00:00",
-          "2009-01-06T00:00:00",
-          "2009-01-07T00:00:00",
-          "2009-01-08T00:00:00",
-          "2009-01-09T00:00:00",
-          "2009-01-10T00:00:00",
-          "2009-01-11T00:00:00",
-          "2009-01-12T00:00:00",
-          "2009-01-13T00:00:00",
-          "2009-01-14T00:00:00",
-          "2009-01-15T00:00:00",
-          "2009-01-16T00:00:00",
-          "2009-01-17T00:00:00",
-          "2009-01-18T00:00:00",
-          "2009-01-19T00:00:00",
-          "2009-01-20T00:00:00",
-          "2009-01-21T00:00:00",
-          "2009-01-22T00:00:00",
-          "2009-01-23T00:00:00",
-          "2009-01-24T00:00:00",
-          "2009-01-25T00:00:00",
-          "2009-01-26T00:00:00",
-          "2009-01-27T00:00:00",
-          "2009-01-28T00:00:00",
-          "2009-01-29T00:00:00",
-          "2009-01-30T00:00:00",
-          "2009-01-31T00:00:00",
-          "2009-02-01T00:00:00",
-          "2009-02-02T00:00:00",
-          "2009-02-03T00:00:00",
-          "2009-02-04T00:00:00",
-          "2009-02-05T00:00:00",
-          "2009-02-06T00:00:00",
-          "2009-02-07T00:00:00",
-          "2009-02-08T00:00:00",
-          "2009-02-09T00:00:00",
-          "2009-02-10T00:00:00",
-          "2009-02-11T00:00:00",
-          "2009-02-12T00:00:00",
-          "2009-02-13T00:00:00",
-          "2009-02-14T00:00:00",
-          "2009-02-15T00:00:00",
-          "2009-02-16T00:00:00",
-          "2009-02-17T00:00:00",
-          "2009-02-18T00:00:00",
-          "2009-02-19T00:00:00",
-          "2009-02-20T00:00:00",
-          "2009-02-21T00:00:00",
-          "2009-02-22T00:00:00",
-          "2009-02-23T00:00:00",
-          "2009-02-24T00:00:00",
-          "2009-02-25T00:00:00",
-          "2009-02-26T00:00:00",
-          "2009-02-27T00:00:00",
-          "2009-02-28T00:00:00",
-          "2009-03-01T00:00:00",
-          "2009-03-02T00:00:00",
-          "2009-03-03T00:00:00",
-          "2009-03-04T00:00:00",
-          "2009-03-05T00:00:00",
-          "2009-03-06T00:00:00",
-          "2009-03-07T00:00:00",
-          "2009-03-08T00:00:00",
-          "2009-03-09T00:00:00",
-          "2009-03-10T00:00:00",
-          "2009-03-11T00:00:00",
-          "2009-03-12T00:00:00",
-          "2009-03-13T00:00:00",
-          "2009-03-14T00:00:00",
-          "2009-03-15T00:00:00",
-          "2009-03-16T00:00:00",
-          "2009-03-17T00:00:00",
-          "2009-03-18T00:00:00",
-          "2009-03-19T00:00:00",
-          "2009-03-20T00:00:00",
-          "2009-03-21T00:00:00",
-          "2009-03-22T00:00:00",
-          "2009-03-23T00:00:00",
-          "2009-03-24T00:00:00",
-          "2009-03-25T00:00:00",
-          "2009-03-26T00:00:00",
-          "2009-03-27T00:00:00",
-          "2009-03-28T00:00:00",
-          "2009-03-29T00:00:00",
-          "2009-03-30T00:00:00",
-          "2009-03-31T00:00:00",
-          "2009-04-01T00:00:00",
-          "2009-04-02T00:00:00",
-          "2009-04-03T00:00:00",
-          "2009-04-04T00:00:00",
-          "2009-04-05T00:00:00",
-          "2009-04-06T00:00:00",
-          "2009-04-07T00:00:00",
-          "2009-04-08T00:00:00",
-          "2009-04-09T00:00:00",
-          "2009-04-10T00:00:00",
-          "2009-04-11T00:00:00",
-          "2009-04-12T00:00:00",
-          "2009-04-13T00:00:00",
-          "2009-04-14T00:00:00",
-          "2009-04-15T00:00:00",
-          "2009-04-16T00:00:00",
-          "2009-04-17T00:00:00",
-          "2009-04-18T00:00:00",
-          "2009-04-19T00:00:00",
-          "2009-04-20T00:00:00",
-          "2009-04-21T00:00:00",
-          "2009-04-22T00:00:00",
-          "2009-04-23T00:00:00",
-          "2009-04-24T00:00:00",
-          "2009-04-25T00:00:00",
-          "2009-04-26T00:00:00",
-          "2009-04-27T00:00:00",
-          "2009-04-28T00:00:00",
-          "2009-04-29T00:00:00",
-          "2009-04-30T00:00:00",
-          "2009-05-01T00:00:00",
-          "2009-05-02T00:00:00",
-          "2009-05-03T00:00:00",
-          "2009-05-04T00:00:00",
-          "2009-05-05T00:00:00",
-          "2009-05-06T00:00:00",
-          "2009-05-07T00:00:00",
-          "2009-05-08T00:00:00",
-          "2009-05-09T00:00:00",
-          "2009-05-10T00:00:00",
-          "2009-05-11T00:00:00",
-          "2009-05-12T00:00:00",
-          "2009-05-13T00:00:00",
-          "2009-05-14T00:00:00",
-          "2009-05-15T00:00:00",
-          "2009-05-16T00:00:00",
-          "2009-05-17T00:00:00",
-          "2009-05-18T00:00:00",
-          "2009-05-19T00:00:00",
-          "2009-05-20T00:00:00",
-          "2009-05-21T00:00:00",
-          "2009-05-22T00:00:00",
-          "2009-05-23T00:00:00",
-          "2009-05-24T00:00:00",
-          "2009-05-25T00:00:00",
-          "2009-05-26T00:00:00",
-          "2009-05-27T00:00:00",
-          "2009-05-28T00:00:00",
-          "2009-05-29T00:00:00",
-          "2009-05-30T00:00:00",
-          "2009-05-31T00:00:00",
-          "2009-06-01T00:00:00",
-          "2009-06-02T00:00:00",
-          "2009-06-03T00:00:00",
-          "2009-06-04T00:00:00",
-          "2009-06-05T00:00:00",
-          "2009-06-06T00:00:00",
-          "2009-06-07T00:00:00",
-          "2009-06-08T00:00:00",
-          "2009-06-09T00:00:00",
-          "2009-06-10T00:00:00",
-          "2009-06-11T00:00:00",
-          "2009-06-12T00:00:00",
-          "2009-06-13T00:00:00",
-          "2009-06-14T00:00:00",
-          "2009-06-15T00:00:00",
-          "2009-06-16T00:00:00",
-          "2009-06-17T00:00:00",
-          "2009-06-18T00:00:00",
-          "2009-06-19T00:00:00",
-          "2009-06-20T00:00:00",
-          "2009-06-21T00:00:00",
-          "2009-06-22T00:00:00",
-          "2009-06-23T00:00:00",
-          "2009-06-24T00:00:00",
-          "2009-06-25T00:00:00",
-          "2009-06-26T00:00:00",
-          "2009-06-27T00:00:00",
-          "2009-06-28T00:00:00",
-          "2009-06-29T00:00:00",
-          "2009-06-30T00:00:00",
-          "2009-07-01T00:00:00",
-          "2009-07-02T00:00:00",
-          "2009-07-03T00:00:00",
-          "2009-07-04T00:00:00",
-          "2009-07-05T00:00:00",
-          "2009-07-06T00:00:00",
-          "2009-07-07T00:00:00",
-          "2009-07-08T00:00:00",
-          "2009-07-09T00:00:00",
-          "2009-07-10T00:00:00",
-          "2009-07-11T00:00:00",
-          "2009-07-12T00:00:00",
-          "2009-07-13T00:00:00",
-          "2009-07-14T00:00:00",
-          "2009-07-15T00:00:00",
-          "2009-07-16T00:00:00",
-          "2009-07-17T00:00:00",
-          "2009-07-18T00:00:00",
-          "2009-07-19T00:00:00",
-          "2009-07-20T00:00:00",
-          "2009-07-21T00:00:00",
-          "2009-07-22T00:00:00",
-          "2009-07-23T00:00:00",
-          "2009-07-24T00:00:00",
-          "2009-07-25T00:00:00",
-          "2009-07-26T00:00:00",
-          "2009-07-27T00:00:00",
-          "2009-07-28T00:00:00",
-          "2009-07-29T00:00:00",
-          "2009-07-30T00:00:00",
-          "2009-07-31T00:00:00",
-          "2009-08-01T00:00:00",
-          "2009-08-02T00:00:00",
-          "2009-08-03T00:00:00",
-          "2009-08-04T00:00:00",
-          "2009-08-05T00:00:00",
-          "2009-08-06T00:00:00",
-          "2009-08-07T00:00:00",
-          "2009-08-08T00:00:00",
-          "2009-08-09T00:00:00",
-          "2009-08-10T00:00:00",
-          "2009-08-11T00:00:00",
-          "2009-08-12T00:00:00",
-          "2009-08-13T00:00:00",
-          "2009-08-14T00:00:00",
-          "2009-08-15T00:00:00",
-          "2009-08-16T00:00:00",
-          "2009-08-17T00:00:00",
-          "2009-08-18T00:00:00",
-          "2009-08-19T00:00:00",
-          "2009-08-20T00:00:00",
-          "2009-08-21T00:00:00",
-          "2009-08-22T00:00:00",
-          "2009-08-23T00:00:00",
-          "2009-08-24T00:00:00",
-          "2009-08-25T00:00:00",
-          "2009-08-26T00:00:00",
-          "2009-08-27T00:00:00",
-          "2009-08-28T00:00:00",
-          "2009-08-29T00:00:00",
-          "2009-08-30T00:00:00",
-          "2009-08-31T00:00:00",
-          "2009-09-01T00:00:00",
-          "2009-09-02T00:00:00",
-          "2009-09-03T00:00:00",
-          "2009-09-04T00:00:00",
-          "2009-09-05T00:00:00",
-          "2009-09-06T00:00:00",
-          "2009-09-07T00:00:00",
-          "2009-09-08T00:00:00",
-          "2009-09-09T00:00:00",
-          "2009-09-10T00:00:00",
-          "2009-09-11T00:00:00",
-          "2009-09-12T00:00:00",
-          "2009-09-13T00:00:00",
-          "2009-09-14T00:00:00",
-          "2009-09-15T00:00:00",
-          "2009-09-16T00:00:00",
-          "2009-09-17T00:00:00",
-          "2009-09-18T00:00:00",
-          "2009-09-19T00:00:00",
-          "2009-09-20T00:00:00",
-          "2009-09-21T00:00:00",
-          "2009-09-22T00:00:00",
-          "2009-09-23T00:00:00",
-          "2009-09-24T00:00:00",
-          "2009-09-25T00:00:00",
-          "2009-09-26T00:00:00",
-          "2009-09-27T00:00:00",
-          "2009-09-28T00:00:00",
-          "2009-09-29T00:00:00",
-          "2009-09-30T00:00:00",
-          "2009-10-01T00:00:00",
-          "2009-10-02T00:00:00",
-          "2009-10-03T00:00:00",
-          "2009-10-04T00:00:00",
-          "2009-10-05T00:00:00",
-          "2009-10-06T00:00:00",
-          "2009-10-07T00:00:00",
-          "2009-10-08T00:00:00",
-          "2009-10-09T00:00:00",
-          "2009-10-10T00:00:00",
-          "2009-10-11T00:00:00",
-          "2009-10-12T00:00:00",
-          "2009-10-13T00:00:00",
-          "2009-10-14T00:00:00",
-          "2009-10-15T00:00:00",
-          "2009-10-16T00:00:00",
-          "2009-10-17T00:00:00",
-          "2009-10-18T00:00:00",
-          "2009-10-19T00:00:00",
-          "2009-10-20T00:00:00",
-          "2009-10-21T00:00:00",
-          "2009-10-22T00:00:00",
-          "2009-10-23T00:00:00",
-          "2009-10-24T00:00:00",
-          "2009-10-25T00:00:00",
-          "2009-10-26T00:00:00",
-          "2009-10-27T00:00:00",
-          "2009-10-28T00:00:00",
-          "2009-10-29T00:00:00",
-          "2009-10-30T00:00:00",
-          "2009-10-31T00:00:00",
-          "2009-11-01T00:00:00",
-          "2009-11-02T00:00:00",
-          "2009-11-03T00:00:00",
-          "2009-11-04T00:00:00",
-          "2009-11-05T00:00:00",
-          "2009-11-06T00:00:00",
-          "2009-11-07T00:00:00",
-          "2009-11-08T00:00:00",
-          "2009-11-09T00:00:00",
-          "2009-11-10T00:00:00",
-          "2009-11-11T00:00:00",
-          "2009-11-12T00:00:00",
-          "2009-11-13T00:00:00",
-          "2009-11-14T00:00:00",
-          "2009-11-15T00:00:00",
-          "2009-11-16T00:00:00",
-          "2009-11-17T00:00:00",
-          "2009-11-18T00:00:00",
-          "2009-11-19T00:00:00",
-          "2009-11-20T00:00:00",
-          "2009-11-21T00:00:00",
-          "2009-11-22T00:00:00",
-          "2009-11-23T00:00:00",
-          "2009-11-24T00:00:00",
-          "2009-11-25T00:00:00",
-          "2009-11-26T00:00:00",
-          "2009-11-27T00:00:00",
-          "2009-11-28T00:00:00",
-          "2009-11-29T00:00:00",
-          "2009-11-30T00:00:00",
-          "2009-12-01T00:00:00",
-          "2009-12-02T00:00:00",
-          "2009-12-03T00:00:00",
-          "2009-12-04T00:00:00",
-          "2009-12-05T00:00:00",
-          "2009-12-06T00:00:00",
-          "2009-12-07T00:00:00",
-          "2009-12-08T00:00:00",
-          "2009-12-09T00:00:00",
-          "2009-12-10T00:00:00",
-          "2009-12-11T00:00:00",
-          "2009-12-12T00:00:00",
-          "2009-12-13T00:00:00",
-          "2009-12-14T00:00:00",
-          "2009-12-15T00:00:00",
-          "2009-12-16T00:00:00",
-          "2009-12-17T00:00:00",
-          "2009-12-18T00:00:00",
-          "2009-12-19T00:00:00",
-          "2009-12-20T00:00:00",
-          "2009-12-21T00:00:00",
-          "2009-12-22T00:00:00",
-          "2009-12-23T00:00:00",
-          "2009-12-24T00:00:00",
-          "2009-12-25T00:00:00",
-          "2009-12-26T00:00:00",
-          "2009-12-27T00:00:00",
-          "2009-12-28T00:00:00",
-          "2009-12-29T00:00:00",
-          "2009-12-30T00:00:00",
-          "2009-12-31T00:00:00",
-          "2010-01-01T00:00:00",
-          "2010-01-02T00:00:00",
-          "2010-01-03T00:00:00",
-          "2010-01-04T00:00:00",
-          "2010-01-05T00:00:00",
-          "2010-01-06T00:00:00",
-          "2010-01-07T00:00:00",
-          "2010-01-08T00:00:00",
-          "2010-01-09T00:00:00",
-          "2010-01-10T00:00:00",
-          "2010-01-11T00:00:00",
-          "2010-01-12T00:00:00",
-          "2010-01-13T00:00:00",
-          "2010-01-14T00:00:00",
-          "2010-01-15T00:00:00",
-          "2010-01-16T00:00:00",
-          "2010-01-17T00:00:00",
-          "2010-01-18T00:00:00",
-          "2010-01-19T00:00:00",
-          "2010-01-20T00:00:00",
-          "2010-01-21T00:00:00",
-          "2010-01-22T00:00:00",
-          "2010-01-23T00:00:00",
-          "2010-01-24T00:00:00",
-          "2010-01-25T00:00:00",
-          "2010-01-26T00:00:00",
-          "2010-01-27T00:00:00",
-          "2010-01-28T00:00:00",
-          "2010-01-29T00:00:00",
-          "2010-01-30T00:00:00",
-          "2010-01-31T00:00:00",
-          "2010-02-01T00:00:00",
-          "2010-02-02T00:00:00",
-          "2010-02-03T00:00:00",
-          "2010-02-04T00:00:00",
-          "2010-02-05T00:00:00",
-          "2010-02-06T00:00:00",
-          "2010-02-07T00:00:00",
-          "2010-02-08T00:00:00",
-          "2010-02-09T00:00:00",
-          "2010-02-10T00:00:00",
-          "2010-02-11T00:00:00",
-          "2010-02-12T00:00:00",
-          "2010-02-13T00:00:00",
-          "2010-02-14T00:00:00",
-          "2010-02-15T00:00:00",
-          "2010-02-16T00:00:00",
-          "2010-02-17T00:00:00",
-          "2010-02-18T00:00:00",
-          "2010-02-19T00:00:00",
-          "2010-02-20T00:00:00",
-          "2010-02-21T00:00:00",
-          "2010-02-22T00:00:00",
-          "2010-02-23T00:00:00",
-          "2010-02-24T00:00:00",
-          "2010-02-25T00:00:00",
-          "2010-02-26T00:00:00",
-          "2010-02-27T00:00:00",
-          "2010-02-28T00:00:00",
-          "2010-03-01T00:00:00",
-          "2010-03-02T00:00:00",
-          "2010-03-03T00:00:00",
-          "2010-03-04T00:00:00",
-          "2010-03-05T00:00:00",
-          "2010-03-06T00:00:00",
-          "2010-03-07T00:00:00",
-          "2010-03-08T00:00:00",
-          "2010-03-09T00:00:00",
-          "2010-03-10T00:00:00",
-          "2010-03-11T00:00:00",
-          "2010-03-12T00:00:00",
-          "2010-03-13T00:00:00",
-          "2010-03-14T00:00:00",
-          "2010-03-15T00:00:00",
-          "2010-03-16T00:00:00",
-          "2010-03-17T00:00:00",
-          "2010-03-18T00:00:00",
-          "2010-03-19T00:00:00",
-          "2010-03-20T00:00:00",
-          "2010-03-21T00:00:00",
-          "2010-03-22T00:00:00",
-          "2010-03-23T00:00:00",
-          "2010-03-24T00:00:00",
-          "2010-03-25T00:00:00",
-          "2010-03-26T00:00:00",
-          "2010-03-27T00:00:00",
-          "2010-03-28T00:00:00",
-          "2010-03-29T00:00:00",
-          "2010-03-30T00:00:00",
-          "2010-03-31T00:00:00",
-          "2010-04-01T00:00:00",
-          "2010-04-02T00:00:00",
-          "2010-04-03T00:00:00",
-          "2010-04-04T00:00:00",
-          "2010-04-05T00:00:00",
-          "2010-04-06T00:00:00",
-          "2010-04-07T00:00:00",
-          "2010-04-08T00:00:00",
-          "2010-04-09T00:00:00",
-          "2010-04-10T00:00:00",
-          "2010-04-11T00:00:00",
-          "2010-04-12T00:00:00",
-          "2010-04-13T00:00:00",
-          "2010-04-14T00:00:00",
-          "2010-04-15T00:00:00",
-          "2010-04-16T00:00:00",
-          "2010-04-17T00:00:00",
-          "2010-04-18T00:00:00",
-          "2010-04-19T00:00:00",
-          "2010-04-20T00:00:00",
-          "2010-04-21T00:00:00",
-          "2010-04-22T00:00:00",
-          "2010-04-23T00:00:00",
-          "2010-04-24T00:00:00",
-          "2010-04-25T00:00:00",
-          "2010-04-26T00:00:00",
-          "2010-04-27T00:00:00",
-          "2010-04-28T00:00:00",
-          "2010-04-29T00:00:00",
-          "2010-04-30T00:00:00",
-          "2010-05-01T00:00:00",
-          "2010-05-02T00:00:00",
-          "2010-05-03T00:00:00",
-          "2010-05-04T00:00:00",
-          "2010-05-05T00:00:00",
-          "2010-05-06T00:00:00",
-          "2010-05-07T00:00:00",
-          "2010-05-08T00:00:00",
-          "2010-05-09T00:00:00",
-          "2010-05-10T00:00:00",
-          "2010-05-11T00:00:00",
-          "2010-05-12T00:00:00",
-          "2010-05-13T00:00:00",
-          "2010-05-14T00:00:00",
-          "2010-05-15T00:00:00",
-          "2010-05-16T00:00:00",
-          "2010-05-17T00:00:00",
-          "2010-05-18T00:00:00",
-          "2010-05-19T00:00:00",
-          "2010-05-20T00:00:00",
-          "2010-05-21T00:00:00",
-          "2010-05-22T00:00:00",
-          "2010-05-23T00:00:00",
-          "2010-05-24T00:00:00",
-          "2010-05-25T00:00:00",
-          "2010-05-26T00:00:00",
-          "2010-05-27T00:00:00",
-          "2010-05-28T00:00:00",
-          "2010-05-29T00:00:00",
-          "2010-05-30T00:00:00",
-          "2010-05-31T00:00:00",
-          "2010-06-01T00:00:00",
-          "2010-06-02T00:00:00",
-          "2010-06-03T00:00:00",
-          "2010-06-04T00:00:00",
-          "2010-06-05T00:00:00",
-          "2010-06-06T00:00:00",
-          "2010-06-07T00:00:00",
-          "2010-06-08T00:00:00",
-          "2010-06-09T00:00:00",
-          "2010-06-10T00:00:00",
-          "2010-06-11T00:00:00",
-          "2010-06-12T00:00:00",
-          "2010-06-13T00:00:00",
-          "2010-06-14T00:00:00",
-          "2010-06-15T00:00:00",
-          "2010-06-16T00:00:00",
-          "2010-06-17T00:00:00",
-          "2010-06-18T00:00:00",
-          "2010-06-19T00:00:00",
-          "2010-06-20T00:00:00",
-          "2010-06-21T00:00:00",
-          "2010-06-22T00:00:00",
-          "2010-06-23T00:00:00",
-          "2010-06-24T00:00:00",
-          "2010-06-25T00:00:00",
-          "2010-06-26T00:00:00",
-          "2010-06-27T00:00:00",
-          "2010-06-28T00:00:00",
-          "2010-06-29T00:00:00",
-          "2010-06-30T00:00:00",
-          "2010-07-01T00:00:00",
-          "2010-07-02T00:00:00",
-          "2010-07-03T00:00:00",
-          "2010-07-04T00:00:00",
-          "2010-07-05T00:00:00",
-          "2010-07-06T00:00:00",
-          "2010-07-07T00:00:00",
-          "2010-07-08T00:00:00",
-          "2010-07-09T00:00:00",
-          "2010-07-10T00:00:00",
-          "2010-07-11T00:00:00",
-          "2010-07-12T00:00:00",
-          "2010-07-13T00:00:00",
-          "2010-07-14T00:00:00",
-          "2010-07-15T00:00:00",
-          "2010-07-16T00:00:00",
-          "2010-07-17T00:00:00",
-          "2010-07-18T00:00:00",
-          "2010-07-19T00:00:00",
-          "2010-07-20T00:00:00",
-          "2010-07-21T00:00:00",
-          "2010-07-22T00:00:00",
-          "2010-07-23T00:00:00",
-          "2010-07-24T00:00:00",
-          "2010-07-25T00:00:00",
-          "2010-07-26T00:00:00",
-          "2010-07-27T00:00:00",
-          "2010-07-28T00:00:00",
-          "2010-07-29T00:00:00",
-          "2010-07-30T00:00:00",
-          "2010-07-31T00:00:00",
-          "2010-08-01T00:00:00",
-          "2010-08-02T00:00:00",
-          "2010-08-03T00:00:00",
-          "2010-08-04T00:00:00",
-          "2010-08-05T00:00:00",
-          "2010-08-06T00:00:00",
-          "2010-08-07T00:00:00",
-          "2010-08-08T00:00:00",
-          "2010-08-09T00:00:00",
-          "2010-08-10T00:00:00",
-          "2010-08-11T00:00:00",
-          "2010-08-12T00:00:00",
-          "2010-08-13T00:00:00",
-          "2010-08-14T00:00:00",
-          "2010-08-15T00:00:00",
-          "2010-08-16T00:00:00",
-          "2010-08-17T00:00:00",
-          "2010-08-18T00:00:00",
-          "2010-08-19T00:00:00",
-          "2010-08-20T00:00:00",
-          "2010-08-21T00:00:00",
-          "2010-08-22T00:00:00",
-          "2010-08-23T00:00:00",
-          "2010-08-24T00:00:00",
-          "2010-08-25T00:00:00",
-          "2010-08-26T00:00:00",
-          "2010-08-27T00:00:00",
-          "2010-08-28T00:00:00",
-          "2010-08-29T00:00:00",
-          "2010-08-30T00:00:00",
-          "2010-08-31T00:00:00",
-          "2010-09-01T00:00:00",
-          "2010-09-02T00:00:00",
-          "2010-09-03T00:00:00",
-          "2010-09-04T00:00:00",
-          "2010-09-05T00:00:00",
-          "2010-09-06T00:00:00",
-          "2010-09-07T00:00:00",
-          "2010-09-08T00:00:00",
-          "2010-09-09T00:00:00",
-          "2010-09-10T00:00:00",
-          "2010-09-11T00:00:00",
-          "2010-09-12T00:00:00",
-          "2010-09-13T00:00:00",
-          "2010-09-14T00:00:00",
-          "2010-09-15T00:00:00",
-          "2010-09-16T00:00:00",
-          "2010-09-17T00:00:00",
-          "2010-09-18T00:00:00",
-          "2010-09-19T00:00:00",
-          "2010-09-20T00:00:00",
-          "2010-09-21T00:00:00",
-          "2010-09-22T00:00:00",
-          "2010-09-23T00:00:00",
-          "2010-09-24T00:00:00",
-          "2010-09-25T00:00:00",
-          "2010-09-26T00:00:00",
-          "2010-09-27T00:00:00",
-          "2010-09-28T00:00:00",
-          "2010-09-29T00:00:00",
-          "2010-09-30T00:00:00",
-          "2010-10-01T00:00:00",
-          "2010-10-02T00:00:00",
-          "2010-10-03T00:00:00",
-          "2010-10-04T00:00:00",
-          "2010-10-05T00:00:00",
-          "2010-10-06T00:00:00",
-          "2010-10-07T00:00:00",
-          "2010-10-08T00:00:00",
-          "2010-10-09T00:00:00",
-          "2010-10-10T00:00:00",
-          "2010-10-11T00:00:00",
-          "2010-10-12T00:00:00",
-          "2010-10-13T00:00:00",
-          "2010-10-14T00:00:00",
-          "2010-10-15T00:00:00",
-          "2010-10-16T00:00:00",
-          "2010-10-17T00:00:00",
-          "2010-10-18T00:00:00",
-          "2010-10-19T00:00:00",
-          "2010-10-20T00:00:00",
-          "2010-10-21T00:00:00",
-          "2010-10-22T00:00:00",
-          "2010-10-23T00:00:00",
-          "2010-10-24T00:00:00",
-          "2010-10-25T00:00:00",
-          "2010-10-26T00:00:00",
-          "2010-10-27T00:00:00",
-          "2010-10-28T00:00:00",
-          "2010-10-29T00:00:00",
-          "2010-10-30T00:00:00",
-          "2010-10-31T00:00:00",
-          "2010-11-01T00:00:00",
-          "2010-11-02T00:00:00",
-          "2010-11-03T00:00:00",
-          "2010-11-04T00:00:00",
-          "2010-11-05T00:00:00",
-          "2010-11-06T00:00:00",
-          "2010-11-07T00:00:00",
-          "2010-11-08T00:00:00",
-          "2010-11-09T00:00:00",
-          "2010-11-10T00:00:00",
-          "2010-11-11T00:00:00",
-          "2010-11-12T00:00:00",
-          "2010-11-13T00:00:00",
-          "2010-11-14T00:00:00",
-          "2010-11-15T00:00:00",
-          "2010-11-16T00:00:00",
-          "2010-11-17T00:00:00",
-          "2010-11-18T00:00:00",
-          "2010-11-19T00:00:00",
-          "2010-11-20T00:00:00",
-          "2010-11-21T00:00:00",
-          "2010-11-22T00:00:00",
-          "2010-11-23T00:00:00",
-          "2010-11-24T00:00:00",
-          "2010-11-25T00:00:00",
-          "2010-11-26T00:00:00",
-          "2010-11-27T00:00:00",
-          "2010-11-28T00:00:00",
-          "2010-11-29T00:00:00",
-          "2010-11-30T00:00:00",
-          "2010-12-01T00:00:00",
-          "2010-12-02T00:00:00",
-          "2010-12-03T00:00:00",
-          "2010-12-04T00:00:00",
-          "2010-12-05T00:00:00",
-          "2010-12-06T00:00:00",
-          "2010-12-07T00:00:00",
-          "2010-12-08T00:00:00",
-          "2010-12-09T00:00:00",
-          "2010-12-10T00:00:00",
-          "2010-12-11T00:00:00",
-          "2010-12-12T00:00:00",
-          "2010-12-13T00:00:00",
-          "2010-12-14T00:00:00",
-          "2010-12-15T00:00:00",
-          "2010-12-16T00:00:00",
-          "2010-12-17T00:00:00",
-          "2010-12-18T00:00:00",
-          "2010-12-19T00:00:00",
-          "2010-12-20T00:00:00",
-          "2010-12-21T00:00:00",
-          "2010-12-22T00:00:00",
-          "2010-12-23T00:00:00",
-          "2010-12-24T00:00:00",
-          "2010-12-25T00:00:00",
-          "2010-12-26T00:00:00",
-          "2010-12-27T00:00:00",
-          "2010-12-28T00:00:00",
-          "2010-12-29T00:00:00",
-          "2010-12-30T00:00:00",
-          "2010-12-31T00:00:00",
-          "2011-01-01T00:00:00",
-          "2011-01-02T00:00:00",
-          "2011-01-03T00:00:00",
-          "2011-01-04T00:00:00",
-          "2011-01-05T00:00:00",
-          "2011-01-06T00:00:00",
-          "2011-01-07T00:00:00",
-          "2011-01-08T00:00:00",
-          "2011-01-09T00:00:00",
-          "2011-01-10T00:00:00",
-          "2011-01-11T00:00:00",
-          "2011-01-12T00:00:00",
-          "2011-01-13T00:00:00",
-          "2011-01-14T00:00:00",
-          "2011-01-15T00:00:00",
-          "2011-01-16T00:00:00",
-          "2011-01-17T00:00:00",
-          "2011-01-18T00:00:00",
-          "2011-01-19T00:00:00",
-          "2011-01-20T00:00:00",
-          "2011-01-21T00:00:00",
-          "2011-01-22T00:00:00",
-          "2011-01-23T00:00:00",
-          "2011-01-24T00:00:00",
-          "2011-01-25T00:00:00",
-          "2011-01-26T00:00:00",
-          "2011-01-27T00:00:00",
-          "2011-01-28T00:00:00",
-          "2011-01-29T00:00:00",
-          "2011-01-30T00:00:00",
-          "2011-01-31T00:00:00",
-          "2011-02-01T00:00:00",
-          "2011-02-02T00:00:00",
-          "2011-02-03T00:00:00",
-          "2011-02-04T00:00:00",
-          "2011-02-05T00:00:00",
-          "2011-02-06T00:00:00",
-          "2011-02-07T00:00:00",
-          "2011-02-08T00:00:00",
-          "2011-02-09T00:00:00",
-          "2011-02-10T00:00:00",
-          "2011-02-11T00:00:00",
-          "2011-02-12T00:00:00",
-          "2011-02-13T00:00:00",
-          "2011-02-14T00:00:00",
-          "2011-02-15T00:00:00",
-          "2011-02-16T00:00:00",
-          "2011-02-17T00:00:00",
-          "2011-02-18T00:00:00",
-          "2011-02-19T00:00:00",
-          "2011-02-20T00:00:00",
-          "2011-02-21T00:00:00",
-          "2011-02-22T00:00:00",
-          "2011-02-23T00:00:00",
-          "2011-02-24T00:00:00",
-          "2011-02-25T00:00:00",
-          "2011-02-26T00:00:00",
-          "2011-02-27T00:00:00",
-          "2011-02-28T00:00:00",
-          "2011-03-01T00:00:00",
-          "2011-03-02T00:00:00",
-          "2011-03-03T00:00:00",
-          "2011-03-04T00:00:00",
-          "2011-03-05T00:00:00",
-          "2011-03-06T00:00:00",
-          "2011-03-07T00:00:00",
-          "2011-03-08T00:00:00",
-          "2011-03-09T00:00:00",
-          "2011-03-10T00:00:00",
-          "2011-03-11T00:00:00",
-          "2011-03-12T00:00:00",
-          "2011-03-13T00:00:00",
-          "2011-03-14T00:00:00",
-          "2011-03-15T00:00:00",
-          "2011-03-16T00:00:00",
-          "2011-03-17T00:00:00",
-          "2011-03-18T00:00:00",
-          "2011-03-19T00:00:00",
-          "2011-03-20T00:00:00",
-          "2011-03-21T00:00:00",
-          "2011-03-22T00:00:00",
-          "2011-03-23T00:00:00",
-          "2011-03-24T00:00:00",
-          "2011-03-25T00:00:00",
-          "2011-03-26T00:00:00",
-          "2011-03-27T00:00:00",
-          "2011-03-28T00:00:00",
-          "2011-03-29T00:00:00",
-          "2011-03-30T00:00:00",
-          "2011-03-31T00:00:00",
-          "2011-04-01T00:00:00",
-          "2011-04-02T00:00:00",
-          "2011-04-03T00:00:00",
-          "2011-04-04T00:00:00",
-          "2011-04-05T00:00:00",
-          "2011-04-06T00:00:00",
-          "2011-04-07T00:00:00",
-          "2011-04-08T00:00:00",
-          "2011-04-09T00:00:00",
-          "2011-04-10T00:00:00",
-          "2011-04-11T00:00:00",
-          "2011-04-12T00:00:00",
-          "2011-04-13T00:00:00",
-          "2011-04-14T00:00:00",
-          "2011-04-15T00:00:00",
-          "2011-04-16T00:00:00",
-          "2011-04-17T00:00:00",
-          "2011-04-18T00:00:00",
-          "2011-04-19T00:00:00",
-          "2011-04-20T00:00:00",
-          "2011-04-21T00:00:00",
-          "2011-04-22T00:00:00",
-          "2011-04-23T00:00:00",
-          "2011-04-24T00:00:00",
-          "2011-04-25T00:00:00",
-          "2011-04-26T00:00:00",
-          "2011-04-27T00:00:00",
-          "2011-04-28T00:00:00",
-          "2011-04-29T00:00:00",
-          "2011-04-30T00:00:00",
-          "2011-05-01T00:00:00",
-          "2011-05-02T00:00:00",
-          "2011-05-03T00:00:00",
-          "2011-05-04T00:00:00",
-          "2011-05-05T00:00:00",
-          "2011-05-06T00:00:00",
-          "2011-05-07T00:00:00",
-          "2011-05-08T00:00:00",
-          "2011-05-09T00:00:00",
-          "2011-05-10T00:00:00",
-          "2011-05-11T00:00:00",
-          "2011-05-12T00:00:00",
-          "2011-05-13T00:00:00",
-          "2011-05-14T00:00:00",
-          "2011-05-15T00:00:00",
-          "2011-05-16T00:00:00",
-          "2011-05-17T00:00:00",
-          "2011-05-18T00:00:00",
-          "2011-05-19T00:00:00",
-          "2011-05-20T00:00:00",
-          "2011-05-21T00:00:00",
-          "2011-05-22T00:00:00",
-          "2011-05-23T00:00:00",
-          "2011-05-24T00:00:00",
-          "2011-05-25T00:00:00",
-          "2011-05-26T00:00:00",
-          "2011-05-27T00:00:00",
-          "2011-05-28T00:00:00",
-          "2011-05-29T00:00:00",
-          "2011-05-30T00:00:00",
-          "2011-05-31T00:00:00",
-          "2011-06-01T00:00:00",
-          "2011-06-02T00:00:00",
-          "2011-06-03T00:00:00",
-          "2011-06-04T00:00:00",
-          "2011-06-05T00:00:00",
-          "2011-06-06T00:00:00",
-          "2011-06-07T00:00:00",
-          "2011-06-08T00:00:00",
-          "2011-06-09T00:00:00",
-          "2011-06-10T00:00:00",
-          "2011-06-11T00:00:00",
-          "2011-06-12T00:00:00",
-          "2011-06-13T00:00:00",
-          "2011-06-14T00:00:00",
-          "2011-06-15T00:00:00",
-          "2011-06-16T00:00:00",
-          "2011-06-17T00:00:00",
-          "2011-06-18T00:00:00",
-          "2011-06-19T00:00:00",
-          "2011-06-20T00:00:00",
-          "2011-06-21T00:00:00",
-          "2011-06-22T00:00:00",
-          "2011-06-23T00:00:00",
-          "2011-06-24T00:00:00",
-          "2011-06-25T00:00:00",
-          "2011-06-26T00:00:00",
-          "2011-06-27T00:00:00",
-          "2011-06-28T00:00:00",
-          "2011-06-29T00:00:00",
-          "2011-06-30T00:00:00",
-          "2011-07-01T00:00:00",
-          "2011-07-02T00:00:00",
-          "2011-07-03T00:00:00",
-          "2011-07-04T00:00:00",
-          "2011-07-05T00:00:00",
-          "2011-07-06T00:00:00",
-          "2011-07-07T00:00:00",
-          "2011-07-08T00:00:00",
-          "2011-07-09T00:00:00",
-          "2011-07-10T00:00:00",
-          "2011-07-11T00:00:00",
-          "2011-07-12T00:00:00",
-          "2011-07-13T00:00:00",
-          "2011-07-14T00:00:00",
-          "2011-07-15T00:00:00",
-          "2011-07-16T00:00:00",
-          "2011-07-17T00:00:00",
-          "2011-07-18T00:00:00",
-          "2011-07-19T00:00:00",
-          "2011-07-20T00:00:00",
-          "2011-07-21T00:00:00",
-          "2011-07-22T00:00:00",
-          "2011-07-23T00:00:00",
-          "2011-07-24T00:00:00",
-          "2011-07-25T00:00:00",
-          "2011-07-26T00:00:00",
-          "2011-07-27T00:00:00",
-          "2011-07-28T00:00:00",
-          "2011-07-29T00:00:00",
-          "2011-07-30T00:00:00",
-          "2011-07-31T00:00:00",
-          "2011-08-01T00:00:00",
-          "2011-08-02T00:00:00",
-          "2011-08-03T00:00:00",
-          "2011-08-04T00:00:00",
-          "2011-08-05T00:00:00",
-          "2011-08-06T00:00:00",
-          "2011-08-07T00:00:00",
-          "2011-08-08T00:00:00",
-          "2011-08-09T00:00:00",
-          "2011-08-10T00:00:00",
-          "2011-08-11T00:00:00",
-          "2011-08-12T00:00:00",
-          "2011-08-13T00:00:00",
-          "2011-08-14T00:00:00",
-          "2011-08-15T00:00:00",
-          "2011-08-16T00:00:00",
-          "2011-08-17T00:00:00",
-          "2011-08-18T00:00:00",
-          "2011-08-19T00:00:00",
-          "2011-08-20T00:00:00",
-          "2011-08-21T00:00:00",
-          "2011-08-22T00:00:00",
-          "2011-08-23T00:00:00",
-          "2011-08-24T00:00:00",
-          "2011-08-25T00:00:00",
-          "2011-08-26T00:00:00",
-          "2011-08-27T00:00:00",
-          "2011-08-28T00:00:00",
-          "2011-08-29T00:00:00",
-          "2011-08-30T00:00:00",
-          "2011-08-31T00:00:00",
-          "2011-09-01T00:00:00",
-          "2011-09-02T00:00:00",
-          "2011-09-03T00:00:00",
-          "2011-09-04T00:00:00",
-          "2011-09-05T00:00:00",
-          "2011-09-06T00:00:00",
-          "2011-09-07T00:00:00",
-          "2011-09-08T00:00:00",
-          "2011-09-09T00:00:00",
-          "2011-09-10T00:00:00",
-          "2011-09-11T00:00:00",
-          "2011-09-12T00:00:00",
-          "2011-09-13T00:00:00",
-          "2011-09-14T00:00:00",
-          "2011-09-15T00:00:00",
-          "2011-09-16T00:00:00",
-          "2011-09-17T00:00:00",
-          "2011-09-18T00:00:00",
-          "2011-09-19T00:00:00",
-          "2011-09-20T00:00:00",
-          "2011-09-21T00:00:00",
-          "2011-09-22T00:00:00",
-          "2011-09-23T00:00:00",
-          "2011-09-24T00:00:00",
-          "2011-09-25T00:00:00",
-          "2011-09-26T00:00:00",
-          "2011-09-27T00:00:00",
-          "2011-09-28T00:00:00",
-          "2011-09-29T00:00:00",
-          "2011-09-30T00:00:00",
-          "2011-10-01T00:00:00",
-          "2011-10-02T00:00:00",
-          "2011-10-03T00:00:00",
-          "2011-10-04T00:00:00",
-          "2011-10-05T00:00:00",
-          "2011-10-06T00:00:00",
-          "2011-10-07T00:00:00",
-          "2011-10-08T00:00:00",
-          "2011-10-09T00:00:00",
-          "2011-10-10T00:00:00",
-          "2011-10-11T00:00:00",
-          "2011-10-12T00:00:00",
-          "2011-10-13T00:00:00",
-          "2011-10-14T00:00:00",
-          "2011-10-15T00:00:00",
-          "2011-10-16T00:00:00",
-          "2011-10-17T00:00:00",
-          "2011-10-18T00:00:00",
-          "2011-10-19T00:00:00",
-          "2011-10-20T00:00:00",
-          "2011-10-21T00:00:00",
-          "2011-10-22T00:00:00",
-          "2011-10-23T00:00:00",
-          "2011-10-24T00:00:00",
-          "2011-10-25T00:00:00",
-          "2011-10-26T00:00:00",
-          "2011-10-27T00:00:00",
-          "2011-10-28T00:00:00",
-          "2011-10-29T00:00:00",
-          "2011-10-30T00:00:00",
-          "2011-10-31T00:00:00",
-          "2011-11-01T00:00:00",
-          "2011-11-02T00:00:00",
-          "2011-11-03T00:00:00",
-          "2011-11-04T00:00:00",
-          "2011-11-05T00:00:00",
-          "2011-11-06T00:00:00",
-          "2011-11-07T00:00:00",
-          "2011-11-08T00:00:00",
-          "2011-11-09T00:00:00",
-          "2011-11-10T00:00:00",
-          "2011-11-11T00:00:00",
-          "2011-11-12T00:00:00",
-          "2011-11-13T00:00:00",
-          "2011-11-14T00:00:00",
-          "2011-11-15T00:00:00",
-          "2011-11-16T00:00:00",
-          "2011-11-17T00:00:00",
-          "2011-11-18T00:00:00",
-          "2011-11-19T00:00:00",
-          "2011-11-20T00:00:00",
-          "2011-11-21T00:00:00",
-          "2011-11-22T00:00:00",
-          "2011-11-23T00:00:00",
-          "2011-11-24T00:00:00",
-          "2011-11-25T00:00:00",
-          "2011-11-26T00:00:00",
-          "2011-11-27T00:00:00",
-          "2011-11-28T00:00:00",
-          "2011-11-29T00:00:00",
-          "2011-11-30T00:00:00",
-          "2011-12-01T00:00:00",
-          "2011-12-02T00:00:00",
-          "2011-12-03T00:00:00",
-          "2011-12-04T00:00:00",
-          "2011-12-05T00:00:00",
-          "2011-12-06T00:00:00",
-          "2011-12-07T00:00:00",
-          "2011-12-08T00:00:00",
-          "2011-12-09T00:00:00",
-          "2011-12-10T00:00:00",
-          "2011-12-11T00:00:00",
-          "2011-12-12T00:00:00",
-          "2011-12-13T00:00:00",
-          "2011-12-14T00:00:00",
-          "2011-12-15T00:00:00",
-          "2011-12-16T00:00:00",
-          "2011-12-17T00:00:00",
-          "2011-12-18T00:00:00",
-          "2011-12-19T00:00:00",
-          "2011-12-20T00:00:00",
-          "2011-12-21T00:00:00",
-          "2011-12-22T00:00:00",
-          "2011-12-23T00:00:00",
-          "2011-12-24T00:00:00",
-          "2011-12-25T00:00:00",
-          "2011-12-26T00:00:00",
-          "2011-12-27T00:00:00",
-          "2011-12-28T00:00:00",
-          "2011-12-29T00:00:00",
-          "2011-12-30T00:00:00",
-          "2011-12-31T00:00:00",
-          "2012-01-01T00:00:00",
-          "2012-01-02T00:00:00",
-          "2012-01-03T00:00:00",
-          "2012-01-04T00:00:00",
-          "2012-01-05T00:00:00",
-          "2012-01-06T00:00:00",
-          "2012-01-07T00:00:00",
-          "2012-01-08T00:00:00",
-          "2012-01-09T00:00:00",
-          "2012-01-10T00:00:00",
-          "2012-01-11T00:00:00",
-          "2012-01-12T00:00:00",
-          "2012-01-13T00:00:00",
-          "2012-01-14T00:00:00",
-          "2012-01-15T00:00:00",
-          "2012-01-16T00:00:00",
-          "2012-01-17T00:00:00",
-          "2012-01-18T00:00:00",
-          "2012-01-19T00:00:00",
-          "2012-01-20T00:00:00",
-          "2012-01-21T00:00:00",
-          "2012-01-22T00:00:00",
-          "2012-01-23T00:00:00",
-          "2012-01-24T00:00:00",
-          "2012-01-25T00:00:00",
-          "2012-01-26T00:00:00",
-          "2012-01-27T00:00:00",
-          "2012-01-28T00:00:00",
-          "2012-01-29T00:00:00",
-          "2012-01-30T00:00:00",
-          "2012-01-31T00:00:00",
-          "2012-02-01T00:00:00",
-          "2012-02-02T00:00:00",
-          "2012-02-03T00:00:00",
-          "2012-02-04T00:00:00",
-          "2012-02-05T00:00:00",
-          "2012-02-06T00:00:00",
-          "2012-02-07T00:00:00",
-          "2012-02-08T00:00:00",
-          "2012-02-09T00:00:00",
-          "2012-02-10T00:00:00",
-          "2012-02-11T00:00:00",
-          "2012-02-12T00:00:00",
-          "2012-02-13T00:00:00",
-          "2012-02-14T00:00:00",
-          "2012-02-15T00:00:00",
-          "2012-02-16T00:00:00",
-          "2012-02-17T00:00:00",
-          "2012-02-18T00:00:00",
-          "2012-02-19T00:00:00",
-          "2012-02-20T00:00:00",
-          "2012-02-21T00:00:00",
-          "2012-02-22T00:00:00",
-          "2012-02-23T00:00:00",
-          "2012-02-24T00:00:00",
-          "2012-02-25T00:00:00",
-          "2012-02-26T00:00:00",
-          "2012-02-27T00:00:00",
-          "2012-02-28T00:00:00",
-          "2012-02-29T00:00:00",
-          "2012-03-01T00:00:00",
-          "2012-03-02T00:00:00",
-          "2012-03-03T00:00:00",
-          "2012-03-04T00:00:00",
-          "2012-03-05T00:00:00",
-          "2012-03-06T00:00:00",
-          "2012-03-07T00:00:00",
-          "2012-03-08T00:00:00",
-          "2012-03-09T00:00:00",
-          "2012-03-10T00:00:00",
-          "2012-03-11T00:00:00",
-          "2012-03-12T00:00:00",
-          "2012-03-13T00:00:00",
-          "2012-03-14T00:00:00",
-          "2012-03-15T00:00:00",
-          "2012-03-16T00:00:00",
-          "2012-03-17T00:00:00",
-          "2012-03-18T00:00:00",
-          "2012-03-19T00:00:00",
-          "2012-03-20T00:00:00",
-          "2012-03-21T00:00:00",
-          "2012-03-22T00:00:00",
-          "2012-03-23T00:00:00",
-          "2012-03-24T00:00:00",
-          "2012-03-25T00:00:00",
-          "2012-03-26T00:00:00",
-          "2012-03-27T00:00:00",
-          "2012-03-28T00:00:00",
-          "2012-03-29T00:00:00",
-          "2012-03-30T00:00:00",
-          "2012-03-31T00:00:00",
-          "2012-04-01T00:00:00",
-          "2012-04-02T00:00:00",
-          "2012-04-03T00:00:00",
-          "2012-04-04T00:00:00",
-          "2012-04-05T00:00:00",
-          "2012-04-06T00:00:00",
-          "2012-04-07T00:00:00",
-          "2012-04-08T00:00:00",
-          "2012-04-09T00:00:00",
-          "2012-04-10T00:00:00",
-          "2012-04-11T00:00:00",
-          "2012-04-12T00:00:00",
-          "2012-04-13T00:00:00",
-          "2012-04-14T00:00:00",
-          "2012-04-15T00:00:00",
-          "2012-04-16T00:00:00",
-          "2012-04-17T00:00:00",
-          "2012-04-18T00:00:00",
-          "2012-04-19T00:00:00",
-          "2012-04-20T00:00:00",
-          "2012-04-21T00:00:00",
-          "2012-04-22T00:00:00",
-          "2012-04-23T00:00:00",
-          "2012-04-24T00:00:00",
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-          "1998-12-28T00:00:00",
-          "1998-12-29T00:00:00",
-          "1998-12-30T00:00:00",
-          "1998-12-31T00:00:00",
-          "1999-01-01T00:00:00",
-          "1999-01-02T00:00:00",
-          "1999-01-03T00:00:00",
-          "1999-01-04T00:00:00",
-          "1999-01-05T00:00:00",
-          "1999-01-06T00:00:00",
-          "1999-01-07T00:00:00",
-          "1999-01-08T00:00:00",
-          "1999-01-09T00:00:00",
-          "1999-01-10T00:00:00",
-          "1999-01-11T00:00:00",
-          "1999-01-12T00:00:00",
-          "1999-01-13T00:00:00",
-          "1999-01-14T00:00:00",
-          "1999-01-15T00:00:00",
-          "1999-01-16T00:00:00",
-          "1999-01-17T00:00:00",
-          "1999-01-18T00:00:00",
-          "1999-01-19T00:00:00",
-          "1999-01-20T00:00:00",
-          "1999-01-21T00:00:00",
-          "1999-01-22T00:00:00",
-          "1999-01-23T00:00:00",
-          "1999-01-24T00:00:00",
-          "1999-01-25T00:00:00",
-          "1999-01-26T00:00:00",
-          "1999-01-27T00:00:00",
-          "1999-01-28T00:00:00",
-          "1999-01-29T00:00:00",
-          "1999-01-30T00:00:00",
-          "1999-01-31T00:00:00",
-          "1999-02-01T00:00:00",
-          "1999-02-02T00:00:00",
-          "1999-02-03T00:00:00",
-          "1999-02-04T00:00:00",
-          "1999-02-05T00:00:00",
-          "1999-02-06T00:00:00",
-          "1999-02-07T00:00:00",
-          "1999-02-08T00:00:00",
-          "1999-02-09T00:00:00",
-          "1999-02-10T00:00:00",
-          "1999-02-11T00:00:00",
-          "1999-02-12T00:00:00",
-          "1999-02-13T00:00:00",
-          "1999-02-14T00:00:00",
-          "1999-02-15T00:00:00",
-          "1999-02-16T00:00:00",
-          "1999-02-17T00:00:00",
-          "1999-02-18T00:00:00",
-          "1999-02-19T00:00:00",
-          "1999-02-20T00:00:00",
-          "1999-02-21T00:00:00",
-          "1999-02-22T00:00:00",
-          "1999-02-23T00:00:00",
-          "1999-02-24T00:00:00",
-          "1999-02-25T00:00:00",
-          "1999-02-26T00:00:00",
-          "1999-02-27T00:00:00",
-          "1999-02-28T00:00:00",
-          "1999-03-01T00:00:00",
-          "1999-03-02T00:00:00",
-          "1999-03-03T00:00:00",
-          "1999-03-04T00:00:00",
-          "1999-03-05T00:00:00",
-          "1999-03-06T00:00:00",
-          "1999-03-07T00:00:00",
-          "1999-03-08T00:00:00",
-          "1999-03-09T00:00:00",
-          "1999-03-10T00:00:00",
-          "1999-03-11T00:00:00",
-          "1999-03-12T00:00:00",
-          "1999-03-13T00:00:00",
-          "1999-03-14T00:00:00",
-          "1999-03-15T00:00:00",
-          "1999-03-16T00:00:00",
-          "1999-03-17T00:00:00",
-          "1999-03-18T00:00:00",
-          "1999-03-19T00:00:00",
-          "1999-03-20T00:00:00",
-          "1999-03-21T00:00:00",
-          "1999-03-22T00:00:00",
-          "1999-03-23T00:00:00",
-          "1999-03-24T00:00:00",
-          "1999-03-25T00:00:00",
-          "1999-03-26T00:00:00",
-          "1999-03-27T00:00:00",
-          "1999-03-28T00:00:00",
-          "1999-03-29T00:00:00",
-          "1999-03-30T00:00:00",
-          "1999-03-31T00:00:00",
-          "1999-04-01T00:00:00",
-          "1999-04-02T00:00:00",
-          "1999-04-03T00:00:00",
-          "1999-04-04T00:00:00",
-          "1999-04-05T00:00:00",
-          "1999-04-06T00:00:00",
-          "1999-04-07T00:00:00",
-          "1999-04-08T00:00:00",
-          "1999-04-09T00:00:00",
-          "1999-04-10T00:00:00",
-          "1999-04-11T00:00:00",
-          "1999-04-12T00:00:00",
-          "1999-04-13T00:00:00",
-          "1999-04-14T00:00:00",
-          "1999-04-15T00:00:00",
-          "1999-04-16T00:00:00",
-          "1999-04-17T00:00:00",
-          "1999-04-18T00:00:00",
-          "1999-04-19T00:00:00",
-          "1999-04-20T00:00:00",
-          "1999-04-21T00:00:00",
-          "1999-04-22T00:00:00",
-          "1999-04-23T00:00:00",
-          "1999-04-24T00:00:00",
-          "1999-04-25T00:00:00",
-          "1999-04-26T00:00:00",
-          "1999-04-27T00:00:00",
-          "1999-04-28T00:00:00",
-          "1999-04-29T00:00:00",
-          "1999-04-30T00:00:00",
-          "1999-05-01T00:00:00",
-          "1999-05-02T00:00:00",
-          "1999-05-03T00:00:00",
-          "1999-05-04T00:00:00",
-          "1999-05-05T00:00:00",
-          "1999-05-06T00:00:00",
-          "1999-05-07T00:00:00",
-          "1999-05-08T00:00:00",
-          "1999-05-09T00:00:00",
-          "1999-05-10T00:00:00",
-          "1999-05-11T00:00:00",
-          "1999-05-12T00:00:00",
-          "1999-05-13T00:00:00",
-          "1999-05-14T00:00:00",
-          "1999-05-15T00:00:00",
-          "1999-05-16T00:00:00",
-          "1999-05-17T00:00:00",
-          "1999-05-18T00:00:00",
-          "1999-05-19T00:00:00",
-          "1999-05-20T00:00:00",
-          "1999-05-21T00:00:00",
-          "1999-05-22T00:00:00",
-          "1999-05-23T00:00:00",
-          "1999-05-24T00:00:00",
-          "1999-05-25T00:00:00",
-          "1999-05-26T00:00:00",
-          "1999-05-27T00:00:00",
-          "1999-05-28T00:00:00",
-          "1999-05-29T00:00:00",
-          "1999-05-30T00:00:00",
-          "1999-05-31T00:00:00",
-          "1999-06-01T00:00:00",
-          "1999-06-02T00:00:00",
-          "1999-06-03T00:00:00",
-          "1999-06-04T00:00:00",
-          "1999-06-05T00:00:00",
-          "1999-06-06T00:00:00",
-          "1999-06-07T00:00:00",
-          "1999-06-08T00:00:00",
-          "1999-06-09T00:00:00",
-          "1999-06-10T00:00:00",
-          "1999-06-11T00:00:00",
-          "1999-06-12T00:00:00",
-          "1999-06-13T00:00:00",
-          "1999-06-14T00:00:00",
-          "1999-06-15T00:00:00",
-          "1999-06-16T00:00:00",
-          "1999-06-17T00:00:00",
-          "1999-06-18T00:00:00",
-          "1999-06-19T00:00:00",
-          "1999-06-20T00:00:00",
-          "1999-06-21T00:00:00",
-          "1999-06-22T00:00:00",
-          "1999-06-23T00:00:00",
-          "1999-06-24T00:00:00",
-          "1999-06-25T00:00:00",
-          "1999-06-26T00:00:00",
-          "1999-06-27T00:00:00",
-          "1999-06-28T00:00:00",
-          "1999-06-29T00:00:00",
-          "1999-06-30T00:00:00",
-          "1999-07-01T00:00:00",
-          "1999-07-02T00:00:00",
-          "1999-07-03T00:00:00",
-          "1999-07-04T00:00:00",
-          "1999-07-05T00:00:00",
-          "1999-07-06T00:00:00",
-          "1999-07-07T00:00:00",
-          "1999-07-08T00:00:00",
-          "1999-07-09T00:00:00",
-          "1999-07-10T00:00:00",
-          "1999-07-11T00:00:00",
-          "1999-07-12T00:00:00",
-          "1999-07-13T00:00:00",
-          "1999-07-14T00:00:00",
-          "1999-07-15T00:00:00",
-          "1999-07-16T00:00:00",
-          "1999-07-17T00:00:00",
-          "1999-07-18T00:00:00",
-          "1999-07-19T00:00:00",
-          "1999-07-20T00:00:00",
-          "1999-07-21T00:00:00",
-          "1999-07-22T00:00:00",
-          "1999-07-23T00:00:00",
-          "1999-07-24T00:00:00",
-          "1999-07-25T00:00:00",
-          "1999-07-26T00:00:00",
-          "1999-07-27T00:00:00",
-          "1999-07-28T00:00:00",
-          "1999-07-29T00:00:00",
-          "1999-07-30T00:00:00",
-          "1999-07-31T00:00:00",
-          "1999-08-01T00:00:00",
-          "1999-08-02T00:00:00",
-          "1999-08-03T00:00:00",
-          "1999-08-04T00:00:00",
-          "1999-08-05T00:00:00",
-          "1999-08-06T00:00:00",
-          "1999-08-07T00:00:00",
-          "1999-08-08T00:00:00",
-          "1999-08-09T00:00:00",
-          "1999-08-10T00:00:00",
-          "1999-08-11T00:00:00",
-          "1999-08-12T00:00:00",
-          "1999-08-13T00:00:00",
-          "1999-08-14T00:00:00",
-          "1999-08-15T00:00:00",
-          "1999-08-16T00:00:00",
-          "1999-08-17T00:00:00",
-          "1999-08-18T00:00:00",
-          "1999-08-19T00:00:00",
-          "1999-08-20T00:00:00",
-          "1999-08-21T00:00:00",
-          "1999-08-22T00:00:00",
-          "1999-08-23T00:00:00",
-          "1999-08-24T00:00:00",
-          "1999-08-25T00:00:00",
-          "1999-08-26T00:00:00",
-          "1999-08-27T00:00:00",
-          "1999-08-28T00:00:00",
-          "1999-08-29T00:00:00",
-          "1999-08-30T00:00:00",
-          "1999-08-31T00:00:00",
-          "1999-09-01T00:00:00",
-          "1999-09-02T00:00:00",
-          "1999-09-03T00:00:00",
-          "1999-09-04T00:00:00",
-          "1999-09-05T00:00:00",
-          "1999-09-06T00:00:00",
-          "1999-09-07T00:00:00",
-          "1999-09-08T00:00:00",
-          "1999-09-09T00:00:00",
-          "1999-09-10T00:00:00",
-          "1999-09-11T00:00:00",
-          "1999-09-12T00:00:00",
-          "1999-09-13T00:00:00",
-          "1999-09-14T00:00:00",
-          "1999-09-15T00:00:00",
-          "1999-09-16T00:00:00",
-          "1999-09-17T00:00:00",
-          "1999-09-18T00:00:00",
-          "1999-09-19T00:00:00",
-          "1999-09-20T00:00:00",
-          "1999-09-21T00:00:00",
-          "1999-09-22T00:00:00",
-          "1999-09-23T00:00:00",
-          "1999-09-24T00:00:00",
-          "1999-09-25T00:00:00",
-          "1999-09-26T00:00:00",
-          "1999-09-27T00:00:00",
-          "1999-09-28T00:00:00",
-          "1999-09-29T00:00:00",
-          "1999-09-30T00:00:00",
-          "1999-10-01T00:00:00",
-          "1999-10-02T00:00:00",
-          "1999-10-03T00:00:00",
-          "1999-10-04T00:00:00",
-          "1999-10-05T00:00:00",
-          "1999-10-06T00:00:00",
-          "1999-10-07T00:00:00",
-          "1999-10-08T00:00:00",
-          "1999-10-09T00:00:00",
-          "1999-10-10T00:00:00",
-          "1999-10-11T00:00:00",
-          "1999-10-12T00:00:00",
-          "1999-10-13T00:00:00",
-          "1999-10-14T00:00:00",
-          "1999-10-15T00:00:00",
-          "1999-10-16T00:00:00",
-          "1999-10-17T00:00:00",
-          "1999-10-18T00:00:00",
-          "1999-10-19T00:00:00",
-          "1999-10-20T00:00:00",
-          "1999-10-21T00:00:00",
-          "1999-10-22T00:00:00",
-          "1999-10-23T00:00:00",
-          "1999-10-24T00:00:00",
-          "1999-10-25T00:00:00",
-          "1999-10-26T00:00:00",
-          "1999-10-27T00:00:00",
-          "1999-10-28T00:00:00",
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-          "1999-10-30T00:00:00",
-          "1999-10-31T00:00:00",
-          "1999-11-01T00:00:00",
-          "1999-11-02T00:00:00",
-          "1999-11-03T00:00:00",
-          "1999-11-04T00:00:00",
-          "1999-11-05T00:00:00",
-          "1999-11-06T00:00:00",
-          "1999-11-07T00:00:00",
-          "1999-11-08T00:00:00",
-          "1999-11-09T00:00:00",
-          "1999-11-10T00:00:00",
-          "1999-11-11T00:00:00",
-          "1999-11-12T00:00:00",
-          "1999-11-13T00:00:00",
-          "1999-11-14T00:00:00",
-          "1999-11-15T00:00:00",
-          "1999-11-16T00:00:00",
-          "1999-11-17T00:00:00",
-          "1999-11-18T00:00:00",
-          "1999-11-19T00:00:00",
-          "1999-11-20T00:00:00",
-          "1999-11-21T00:00:00",
-          "1999-11-22T00:00:00",
-          "1999-11-23T00:00:00",
-          "1999-11-24T00:00:00",
-          "1999-11-25T00:00:00",
-          "1999-11-26T00:00:00",
-          "1999-11-27T00:00:00",
-          "1999-11-28T00:00:00",
-          "1999-11-29T00:00:00",
-          "1999-11-30T00:00:00",
-          "1999-12-01T00:00:00",
-          "1999-12-02T00:00:00",
-          "1999-12-03T00:00:00",
-          "1999-12-04T00:00:00",
-          "1999-12-05T00:00:00",
-          "1999-12-06T00:00:00",
-          "1999-12-07T00:00:00",
-          "1999-12-08T00:00:00",
-          "1999-12-09T00:00:00",
-          "1999-12-10T00:00:00",
-          "1999-12-11T00:00:00",
-          "1999-12-12T00:00:00",
-          "1999-12-13T00:00:00",
-          "1999-12-14T00:00:00",
-          "1999-12-15T00:00:00",
-          "1999-12-16T00:00:00",
-          "1999-12-17T00:00:00",
-          "1999-12-18T00:00:00",
-          "1999-12-19T00:00:00",
-          "1999-12-20T00:00:00",
-          "1999-12-21T00:00:00",
-          "1999-12-22T00:00:00",
-          "1999-12-23T00:00:00",
-          "1999-12-24T00:00:00",
-          "1999-12-25T00:00:00",
-          "1999-12-26T00:00:00",
-          "1999-12-27T00:00:00",
-          "1999-12-28T00:00:00",
-          "1999-12-29T00:00:00",
-          "1999-12-30T00:00:00",
-          "1999-12-31T00:00:00",
-          "2000-01-01T00:00:00",
-          "2000-01-02T00:00:00",
-          "2000-01-03T00:00:00",
-          "2000-01-04T00:00:00",
-          "2000-01-05T00:00:00",
-          "2000-01-06T00:00:00",
-          "2000-01-07T00:00:00",
-          "2000-01-08T00:00:00",
-          "2000-01-09T00:00:00",
-          "2000-01-10T00:00:00",
-          "2000-01-11T00:00:00",
-          "2000-01-12T00:00:00",
-          "2000-01-13T00:00:00",
-          "2000-01-14T00:00:00",
-          "2000-01-15T00:00:00",
-          "2000-01-16T00:00:00",
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-          "2000-01-22T00:00:00",
-          "2000-01-23T00:00:00",
-          "2000-01-24T00:00:00",
-          "2000-01-25T00:00:00",
-          "2000-01-26T00:00:00",
-          "2000-01-27T00:00:00",
-          "2000-01-28T00:00:00",
-          "2000-01-29T00:00:00",
-          "2000-01-30T00:00:00",
-          "2000-01-31T00:00:00",
-          "2000-02-01T00:00:00",
-          "2000-02-02T00:00:00",
-          "2000-02-03T00:00:00",
-          "2000-02-04T00:00:00",
-          "2000-02-05T00:00:00",
-          "2000-02-06T00:00:00",
-          "2000-02-07T00:00:00",
-          "2000-02-08T00:00:00",
-          "2000-02-09T00:00:00",
-          "2000-02-10T00:00:00",
-          "2000-02-11T00:00:00",
-          "2000-02-12T00:00:00",
-          "2000-02-13T00:00:00",
-          "2000-02-14T00:00:00",
-          "2000-02-15T00:00:00",
-          "2000-02-16T00:00:00",
-          "2000-02-17T00:00:00",
-          "2000-02-18T00:00:00",
-          "2000-02-19T00:00:00",
-          "2000-02-20T00:00:00",
-          "2000-02-21T00:00:00",
-          "2000-02-22T00:00:00",
-          "2000-02-23T00:00:00",
-          "2000-02-24T00:00:00",
-          "2000-02-25T00:00:00",
-          "2000-02-26T00:00:00",
-          "2000-02-27T00:00:00",
-          "2000-02-28T00:00:00",
-          "2000-02-29T00:00:00",
-          "2000-03-01T00:00:00",
-          "2000-03-02T00:00:00",
-          "2000-03-03T00:00:00",
-          "2000-03-04T00:00:00",
-          "2000-03-05T00:00:00",
-          "2000-03-06T00:00:00",
-          "2000-03-07T00:00:00",
-          "2000-03-08T00:00:00",
-          "2000-03-09T00:00:00",
-          "2000-03-10T00:00:00",
-          "2000-03-11T00:00:00",
-          "2000-03-12T00:00:00",
-          "2000-03-13T00:00:00",
-          "2000-03-14T00:00:00",
-          "2000-03-15T00:00:00",
-          "2000-03-16T00:00:00",
-          "2000-03-17T00:00:00",
-          "2000-03-18T00:00:00",
-          "2000-03-19T00:00:00",
-          "2000-03-20T00:00:00",
-          "2000-03-21T00:00:00",
-          "2000-03-22T00:00:00",
-          "2000-03-23T00:00:00",
-          "2000-03-24T00:00:00",
-          "2000-03-25T00:00:00",
-          "2000-03-26T00:00:00",
-          "2000-03-27T00:00:00",
-          "2000-03-28T00:00:00",
-          "2000-03-29T00:00:00",
-          "2000-03-30T00:00:00",
-          "2000-03-31T00:00:00",
-          "2000-04-01T00:00:00",
-          "2000-04-02T00:00:00",
-          "2000-04-03T00:00:00",
-          "2000-04-04T00:00:00",
-          "2000-04-05T00:00:00",
-          "2000-04-06T00:00:00",
-          "2000-04-07T00:00:00",
-          "2000-04-08T00:00:00",
-          "2000-04-09T00:00:00",
-          "2000-04-10T00:00:00",
-          "2000-04-11T00:00:00",
-          "2000-04-12T00:00:00",
-          "2000-04-13T00:00:00",
-          "2000-04-14T00:00:00",
-          "2000-04-15T00:00:00",
-          "2000-04-16T00:00:00",
-          "2000-04-17T00:00:00",
-          "2000-04-18T00:00:00",
-          "2000-04-19T00:00:00",
-          "2000-04-20T00:00:00",
-          "2000-04-21T00:00:00",
-          "2000-04-22T00:00:00",
-          "2000-04-23T00:00:00",
-          "2000-04-24T00:00:00",
-          "2000-04-25T00:00:00",
-          "2000-04-26T00:00:00",
-          "2000-04-27T00:00:00",
-          "2000-04-28T00:00:00",
-          "2000-04-29T00:00:00",
-          "2000-04-30T00:00:00",
-          "2000-05-01T00:00:00",
-          "2000-05-02T00:00:00",
-          "2000-05-03T00:00:00",
-          "2000-05-04T00:00:00",
-          "2000-05-05T00:00:00",
-          "2000-05-06T00:00:00",
-          "2000-05-07T00:00:00",
-          "2000-05-08T00:00:00",
-          "2000-05-09T00:00:00",
-          "2000-05-10T00:00:00",
-          "2000-05-11T00:00:00",
-          "2000-05-12T00:00:00",
-          "2000-05-13T00:00:00",
-          "2000-05-14T00:00:00",
-          "2000-05-15T00:00:00",
-          "2000-05-16T00:00:00",
-          "2000-05-17T00:00:00",
-          "2000-05-18T00:00:00",
-          "2000-05-19T00:00:00",
-          "2000-05-20T00:00:00",
-          "2000-05-21T00:00:00",
-          "2000-05-22T00:00:00",
-          "2000-05-23T00:00:00",
-          "2000-05-24T00:00:00",
-          "2000-05-25T00:00:00",
-          "2000-05-26T00:00:00",
-          "2000-05-27T00:00:00",
-          "2000-05-28T00:00:00",
-          "2000-05-29T00:00:00",
-          "2000-05-30T00:00:00",
-          "2000-05-31T00:00:00",
-          "2000-06-01T00:00:00",
-          "2000-06-02T00:00:00",
-          "2000-06-03T00:00:00",
-          "2000-06-04T00:00:00",
-          "2000-06-05T00:00:00",
-          "2000-06-06T00:00:00",
-          "2000-06-07T00:00:00",
-          "2000-06-08T00:00:00",
-          "2000-06-09T00:00:00",
-          "2000-06-10T00:00:00",
-          "2000-06-11T00:00:00",
-          "2000-06-12T00:00:00",
-          "2000-06-13T00:00:00",
-          "2000-06-14T00:00:00",
-          "2000-06-15T00:00:00",
-          "2000-06-16T00:00:00",
-          "2000-06-17T00:00:00",
-          "2000-06-18T00:00:00",
-          "2000-06-19T00:00:00",
-          "2000-06-20T00:00:00",
-          "2000-06-21T00:00:00",
-          "2000-06-22T00:00:00",
-          "2000-06-23T00:00:00",
-          "2000-06-24T00:00:00",
-          "2000-06-25T00:00:00",
-          "2000-06-26T00:00:00",
-          "2000-06-27T00:00:00",
-          "2000-06-28T00:00:00",
-          "2000-06-29T00:00:00",
-          "2000-06-30T00:00:00",
-          "2000-07-01T00:00:00",
-          "2000-07-02T00:00:00",
-          "2000-07-03T00:00:00",
-          "2000-07-04T00:00:00",
-          "2000-07-05T00:00:00",
-          "2000-07-06T00:00:00",
-          "2000-07-07T00:00:00",
-          "2000-07-08T00:00:00",
-          "2000-07-09T00:00:00",
-          "2000-07-10T00:00:00",
-          "2000-07-11T00:00:00",
-          "2000-07-12T00:00:00",
-          "2000-07-13T00:00:00",
-          "2000-07-14T00:00:00",
-          "2000-07-15T00:00:00",
-          "2000-07-16T00:00:00",
-          "2000-07-17T00:00:00",
-          "2000-07-18T00:00:00",
-          "2000-07-19T00:00:00",
-          "2000-07-20T00:00:00",
-          "2000-07-21T00:00:00",
-          "2000-07-22T00:00:00",
-          "2000-07-23T00:00:00",
-          "2000-07-24T00:00:00",
-          "2000-07-25T00:00:00",
-          "2000-07-26T00:00:00",
-          "2000-07-27T00:00:00",
-          "2000-07-28T00:00:00",
-          "2000-07-29T00:00:00",
-          "2000-07-30T00:00:00",
-          "2000-07-31T00:00:00",
-          "2000-08-01T00:00:00",
-          "2000-08-02T00:00:00",
-          "2000-08-03T00:00:00",
-          "2000-08-04T00:00:00",
-          "2000-08-05T00:00:00",
-          "2000-08-06T00:00:00",
-          "2000-08-07T00:00:00",
-          "2000-08-08T00:00:00",
-          "2000-08-09T00:00:00",
-          "2000-08-10T00:00:00",
-          "2000-08-11T00:00:00",
-          "2000-08-12T00:00:00",
-          "2000-08-13T00:00:00",
-          "2000-08-14T00:00:00",
-          "2000-08-15T00:00:00",
-          "2000-08-16T00:00:00",
-          "2000-08-17T00:00:00",
-          "2000-08-18T00:00:00",
-          "2000-08-19T00:00:00",
-          "2000-08-20T00:00:00",
-          "2000-08-21T00:00:00",
-          "2000-08-22T00:00:00",
-          "2000-08-23T00:00:00",
-          "2000-08-24T00:00:00",
-          "2000-08-25T00:00:00",
-          "2000-08-26T00:00:00",
-          "2000-08-27T00:00:00",
-          "2000-08-28T00:00:00",
-          "2000-08-29T00:00:00",
-          "2000-08-30T00:00:00",
-          "2000-08-31T00:00:00",
-          "2000-09-01T00:00:00",
-          "2000-09-02T00:00:00",
-          "2000-09-03T00:00:00",
-          "2000-09-04T00:00:00",
-          "2000-09-05T00:00:00",
-          "2000-09-06T00:00:00",
-          "2000-09-07T00:00:00",
-          "2000-09-08T00:00:00",
-          "2000-09-09T00:00:00",
-          "2000-09-10T00:00:00",
-          "2000-09-11T00:00:00",
-          "2000-09-12T00:00:00",
-          "2000-09-13T00:00:00",
-          "2000-09-14T00:00:00",
-          "2000-09-15T00:00:00",
-          "2000-09-16T00:00:00",
-          "2000-09-17T00:00:00",
-          "2000-09-18T00:00:00",
-          "2000-09-19T00:00:00",
-          "2000-09-20T00:00:00",
-          "2000-09-21T00:00:00",
-          "2000-09-22T00:00:00",
-          "2000-09-23T00:00:00",
-          "2000-09-24T00:00:00",
-          "2000-09-25T00:00:00",
-          "2000-09-26T00:00:00",
-          "2000-09-27T00:00:00",
-          "2000-09-28T00:00:00",
-          "2000-09-29T00:00:00",
-          "2000-09-30T00:00:00",
-          "2000-10-01T00:00:00",
-          "2000-10-02T00:00:00",
-          "2000-10-03T00:00:00",
-          "2000-10-04T00:00:00",
-          "2000-10-05T00:00:00",
-          "2000-10-06T00:00:00",
-          "2000-10-07T00:00:00",
-          "2000-10-08T00:00:00",
-          "2000-10-09T00:00:00",
-          "2000-10-10T00:00:00",
-          "2000-10-11T00:00:00",
-          "2000-10-12T00:00:00",
-          "2000-10-13T00:00:00",
-          "2000-10-14T00:00:00",
-          "2000-10-15T00:00:00",
-          "2000-10-16T00:00:00",
-          "2000-10-17T00:00:00",
-          "2000-10-18T00:00:00",
-          "2000-10-19T00:00:00",
-          "2000-10-20T00:00:00",
-          "2000-10-21T00:00:00",
-          "2000-10-22T00:00:00",
-          "2000-10-23T00:00:00",
-          "2000-10-24T00:00:00",
-          "2000-10-25T00:00:00",
-          "2000-10-26T00:00:00",
-          "2000-10-27T00:00:00",
-          "2000-10-28T00:00:00",
-          "2000-10-29T00:00:00",
-          "2000-10-30T00:00:00",
-          "2000-10-31T00:00:00",
-          "2000-11-01T00:00:00",
-          "2000-11-02T00:00:00",
-          "2000-11-03T00:00:00",
-          "2000-11-04T00:00:00",
-          "2000-11-05T00:00:00",
-          "2000-11-06T00:00:00",
-          "2000-11-07T00:00:00",
-          "2000-11-08T00:00:00",
-          "2000-11-09T00:00:00",
-          "2000-11-10T00:00:00",
-          "2000-11-11T00:00:00",
-          "2000-11-12T00:00:00",
-          "2000-11-13T00:00:00",
-          "2000-11-14T00:00:00",
-          "2000-11-15T00:00:00",
-          "2000-11-16T00:00:00",
-          "2000-11-17T00:00:00",
-          "2000-11-18T00:00:00",
-          "2000-11-19T00:00:00",
-          "2000-11-20T00:00:00",
-          "2000-11-21T00:00:00",
-          "2000-11-22T00:00:00",
-          "2000-11-23T00:00:00",
-          "2000-11-24T00:00:00",
-          "2000-11-25T00:00:00",
-          "2000-11-26T00:00:00",
-          "2000-11-27T00:00:00",
-          "2000-11-28T00:00:00",
-          "2000-11-29T00:00:00",
-          "2000-11-30T00:00:00",
-          "2000-12-01T00:00:00",
-          "2000-12-02T00:00:00",
-          "2000-12-03T00:00:00",
-          "2000-12-04T00:00:00",
-          "2000-12-05T00:00:00",
-          "2000-12-06T00:00:00",
-          "2000-12-07T00:00:00",
-          "2000-12-08T00:00:00",
-          "2000-12-09T00:00:00",
-          "2000-12-10T00:00:00",
-          "2000-12-11T00:00:00",
-          "2000-12-12T00:00:00",
-          "2000-12-13T00:00:00",
-          "2000-12-14T00:00:00",
-          "2000-12-15T00:00:00",
-          "2000-12-16T00:00:00",
-          "2000-12-17T00:00:00",
-          "2000-12-18T00:00:00",
-          "2000-12-19T00:00:00",
-          "2000-12-20T00:00:00",
-          "2000-12-21T00:00:00",
-          "2000-12-22T00:00:00",
-          "2000-12-23T00:00:00",
-          "2000-12-24T00:00:00",
-          "2000-12-25T00:00:00",
-          "2000-12-26T00:00:00",
-          "2000-12-27T00:00:00",
-          "2000-12-28T00:00:00",
-          "2000-12-29T00:00:00",
-          "2000-12-30T00:00:00",
-          "2000-12-31T00:00:00",
-          "2001-01-01T00:00:00",
-          "2001-01-02T00:00:00",
-          "2001-01-03T00:00:00",
-          "2001-01-04T00:00:00",
-          "2001-01-05T00:00:00",
-          "2001-01-06T00:00:00",
-          "2001-01-07T00:00:00",
-          "2001-01-08T00:00:00",
-          "2001-01-09T00:00:00",
-          "2001-01-10T00:00:00",
-          "2001-01-11T00:00:00",
-          "2001-01-12T00:00:00",
-          "2001-01-13T00:00:00",
-          "2001-01-14T00:00:00",
-          "2001-01-15T00:00:00",
-          "2001-01-16T00:00:00",
-          "2001-01-17T00:00:00",
-          "2001-01-18T00:00:00",
-          "2001-01-19T00:00:00",
-          "2001-01-20T00:00:00",
-          "2001-01-21T00:00:00",
-          "2001-01-22T00:00:00",
-          "2001-01-23T00:00:00",
-          "2001-01-24T00:00:00",
-          "2001-01-25T00:00:00",
-          "2001-01-26T00:00:00",
-          "2001-01-27T00:00:00",
-          "2001-01-28T00:00:00",
-          "2001-01-29T00:00:00",
-          "2001-01-30T00:00:00",
-          "2001-01-31T00:00:00",
-          "2001-02-01T00:00:00",
-          "2001-02-02T00:00:00",
-          "2001-02-03T00:00:00",
-          "2001-02-04T00:00:00",
-          "2001-02-05T00:00:00",
-          "2001-02-06T00:00:00",
-          "2001-02-07T00:00:00",
-          "2001-02-08T00:00:00",
-          "2001-02-09T00:00:00",
-          "2001-02-10T00:00:00",
-          "2001-02-11T00:00:00",
-          "2001-02-12T00:00:00",
-          "2001-02-13T00:00:00",
-          "2001-02-14T00:00:00",
-          "2001-02-15T00:00:00",
-          "2001-02-16T00:00:00",
-          "2001-02-17T00:00:00",
-          "2001-02-18T00:00:00",
-          "2001-02-19T00:00:00",
-          "2001-02-20T00:00:00",
-          "2001-02-21T00:00:00",
-          "2001-02-22T00:00:00",
-          "2001-02-23T00:00:00",
-          "2001-02-24T00:00:00",
-          "2001-02-25T00:00:00",
-          "2001-02-26T00:00:00",
-          "2001-02-27T00:00:00",
-          "2001-02-28T00:00:00",
-          "2001-03-01T00:00:00",
-          "2001-03-02T00:00:00",
-          "2001-03-03T00:00:00",
-          "2001-03-04T00:00:00",
-          "2001-03-05T00:00:00",
-          "2001-03-06T00:00:00",
-          "2001-03-07T00:00:00",
-          "2001-03-08T00:00:00",
-          "2001-03-09T00:00:00",
-          "2001-03-10T00:00:00",
-          "2001-03-11T00:00:00",
-          "2001-03-12T00:00:00",
-          "2001-03-13T00:00:00",
-          "2001-03-14T00:00:00",
-          "2001-03-15T00:00:00",
-          "2001-03-16T00:00:00",
-          "2001-03-17T00:00:00",
-          "2001-03-18T00:00:00",
-          "2001-03-19T00:00:00",
-          "2001-03-20T00:00:00",
-          "2001-03-21T00:00:00",
-          "2001-03-22T00:00:00",
-          "2001-03-23T00:00:00",
-          "2001-03-24T00:00:00",
-          "2001-03-25T00:00:00",
-          "2001-03-26T00:00:00",
-          "2001-03-27T00:00:00",
-          "2001-03-28T00:00:00",
-          "2001-03-29T00:00:00",
-          "2001-03-30T00:00:00",
-          "2001-03-31T00:00:00",
-          "2001-04-01T00:00:00",
-          "2001-04-02T00:00:00",
-          "2001-04-03T00:00:00",
-          "2001-04-04T00:00:00",
-          "2001-04-05T00:00:00",
-          "2001-04-06T00:00:00",
-          "2001-04-07T00:00:00",
-          "2001-04-08T00:00:00",
-          "2001-04-09T00:00:00",
-          "2001-04-10T00:00:00",
-          "2001-04-11T00:00:00",
-          "2001-04-12T00:00:00",
-          "2001-04-13T00:00:00",
-          "2001-04-14T00:00:00",
-          "2001-04-15T00:00:00",
-          "2001-04-16T00:00:00",
-          "2001-04-17T00:00:00",
-          "2001-04-18T00:00:00",
-          "2001-04-19T00:00:00",
-          "2001-04-20T00:00:00",
-          "2001-04-21T00:00:00",
-          "2001-04-22T00:00:00",
-          "2001-04-23T00:00:00",
-          "2001-04-24T00:00:00",
-          "2001-04-25T00:00:00",
-          "2001-04-26T00:00:00",
-          "2001-04-27T00:00:00",
-          "2001-04-28T00:00:00",
-          "2001-04-29T00:00:00",
-          "2001-04-30T00:00:00",
-          "2001-05-01T00:00:00",
-          "2001-05-02T00:00:00",
-          "2001-05-03T00:00:00",
-          "2001-05-04T00:00:00",
-          "2001-05-05T00:00:00",
-          "2001-05-06T00:00:00",
-          "2001-05-07T00:00:00",
-          "2001-05-08T00:00:00",
-          "2001-05-09T00:00:00",
-          "2001-05-10T00:00:00",
-          "2001-05-11T00:00:00",
-          "2001-05-12T00:00:00",
-          "2001-05-13T00:00:00",
-          "2001-05-14T00:00:00",
-          "2001-05-15T00:00:00",
-          "2001-05-16T00:00:00",
-          "2001-05-17T00:00:00",
-          "2001-05-18T00:00:00",
-          "2001-05-19T00:00:00",
-          "2001-05-20T00:00:00",
-          "2001-05-21T00:00:00",
-          "2001-05-22T00:00:00",
-          "2001-05-23T00:00:00",
-          "2001-05-24T00:00:00",
-          "2001-05-25T00:00:00",
-          "2001-05-26T00:00:00",
-          "2001-05-27T00:00:00",
-          "2001-05-28T00:00:00",
-          "2001-05-29T00:00:00",
-          "2001-05-30T00:00:00",
-          "2001-05-31T00:00:00",
-          "2001-06-01T00:00:00",
-          "2001-06-02T00:00:00",
-          "2001-06-03T00:00:00",
-          "2001-06-04T00:00:00",
-          "2001-06-05T00:00:00",
-          "2001-06-06T00:00:00",
-          "2001-06-07T00:00:00",
-          "2001-06-08T00:00:00",
-          "2001-06-09T00:00:00",
-          "2001-06-10T00:00:00",
-          "2001-06-11T00:00:00",
-          "2001-06-12T00:00:00",
-          "2001-06-13T00:00:00",
-          "2001-06-14T00:00:00",
-          "2001-06-15T00:00:00",
-          "2001-06-16T00:00:00",
-          "2001-06-17T00:00:00",
-          "2001-06-18T00:00:00",
-          "2001-06-19T00:00:00",
-          "2001-06-20T00:00:00",
-          "2001-06-21T00:00:00",
-          "2001-06-22T00:00:00",
-          "2001-06-23T00:00:00",
-          "2001-06-24T00:00:00",
-          "2001-06-25T00:00:00",
-          "2001-06-26T00:00:00",
-          "2001-06-27T00:00:00",
-          "2001-06-28T00:00:00",
-          "2001-06-29T00:00:00",
-          "2001-06-30T00:00:00",
-          "2001-07-01T00:00:00",
-          "2001-07-02T00:00:00",
-          "2001-07-03T00:00:00",
-          "2001-07-04T00:00:00",
-          "2001-07-05T00:00:00",
-          "2001-07-06T00:00:00",
-          "2001-07-07T00:00:00",
-          "2001-07-08T00:00:00",
-          "2001-07-09T00:00:00",
-          "2001-07-10T00:00:00",
-          "2001-07-11T00:00:00",
-          "2001-07-12T00:00:00",
-          "2001-07-13T00:00:00",
-          "2001-07-14T00:00:00",
-          "2001-07-15T00:00:00",
-          "2001-07-16T00:00:00",
-          "2001-07-17T00:00:00",
-          "2001-07-18T00:00:00",
-          "2001-07-19T00:00:00",
-          "2001-07-20T00:00:00",
-          "2001-07-21T00:00:00",
-          "2001-07-22T00:00:00",
-          "2001-07-23T00:00:00",
-          "2001-07-24T00:00:00",
-          "2001-07-25T00:00:00",
-          "2001-07-26T00:00:00",
-          "2001-07-27T00:00:00",
-          "2001-07-28T00:00:00",
-          "2001-07-29T00:00:00",
-          "2001-07-30T00:00:00",
-          "2001-07-31T00:00:00",
-          "2001-08-01T00:00:00",
-          "2001-08-02T00:00:00",
-          "2001-08-03T00:00:00",
-          "2001-08-04T00:00:00",
-          "2001-08-05T00:00:00",
-          "2001-08-06T00:00:00",
-          "2001-08-07T00:00:00",
-          "2001-08-08T00:00:00",
-          "2001-08-09T00:00:00",
-          "2001-08-10T00:00:00",
-          "2001-08-11T00:00:00",
-          "2001-08-12T00:00:00",
-          "2001-08-13T00:00:00",
-          "2001-08-14T00:00:00",
-          "2001-08-15T00:00:00",
-          "2001-08-16T00:00:00",
-          "2001-08-17T00:00:00",
-          "2001-08-18T00:00:00",
-          "2001-08-19T00:00:00",
-          "2001-08-20T00:00:00",
-          "2001-08-21T00:00:00",
-          "2001-08-22T00:00:00",
-          "2001-08-23T00:00:00",
-          "2001-08-24T00:00:00",
-          "2001-08-25T00:00:00",
-          "2001-08-26T00:00:00",
-          "2001-08-27T00:00:00",
-          "2001-08-28T00:00:00",
-          "2001-08-29T00:00:00",
-          "2001-08-30T00:00:00",
-          "2001-08-31T00:00:00",
-          "2001-09-01T00:00:00",
-          "2001-09-02T00:00:00",
-          "2001-09-03T00:00:00",
-          "2001-09-04T00:00:00",
-          "2001-09-05T00:00:00",
-          "2001-09-06T00:00:00",
-          "2001-09-07T00:00:00",
-          "2001-09-08T00:00:00",
-          "2001-09-09T00:00:00",
-          "2001-09-10T00:00:00",
-          "2001-09-11T00:00:00",
-          "2001-09-12T00:00:00",
-          "2001-09-13T00:00:00",
-          "2001-09-14T00:00:00",
-          "2001-09-15T00:00:00",
-          "2001-09-16T00:00:00",
-          "2001-09-17T00:00:00",
-          "2001-09-18T00:00:00",
-          "2001-09-19T00:00:00",
-          "2001-09-20T00:00:00",
-          "2001-09-21T00:00:00",
-          "2001-09-22T00:00:00",
-          "2001-09-23T00:00:00",
-          "2001-09-24T00:00:00",
-          "2001-09-25T00:00:00",
-          "2001-09-26T00:00:00",
-          "2001-09-27T00:00:00",
-          "2001-09-28T00:00:00",
-          "2001-09-29T00:00:00",
-          "2001-09-30T00:00:00",
-          "2001-10-01T00:00:00",
-          "2001-10-02T00:00:00",
-          "2001-10-03T00:00:00",
-          "2001-10-04T00:00:00",
-          "2001-10-05T00:00:00",
-          "2001-10-06T00:00:00",
-          "2001-10-07T00:00:00",
-          "2001-10-08T00:00:00",
-          "2001-10-09T00:00:00",
-          "2001-10-10T00:00:00",
-          "2001-10-11T00:00:00",
-          "2001-10-12T00:00:00",
-          "2001-10-13T00:00:00",
-          "2001-10-14T00:00:00",
-          "2001-10-15T00:00:00",
-          "2001-10-16T00:00:00",
-          "2001-10-17T00:00:00",
-          "2001-10-18T00:00:00",
-          "2001-10-19T00:00:00",
-          "2001-10-20T00:00:00",
-          "2001-10-21T00:00:00",
-          "2001-10-22T00:00:00",
-          "2001-10-23T00:00:00",
-          "2001-10-24T00:00:00",
-          "2001-10-25T00:00:00",
-          "2001-10-26T00:00:00",
-          "2001-10-27T00:00:00",
-          "2001-10-28T00:00:00",
-          "2001-10-29T00:00:00",
-          "2001-10-30T00:00:00",
-          "2001-10-31T00:00:00",
-          "2001-11-01T00:00:00",
-          "2001-11-02T00:00:00",
-          "2001-11-03T00:00:00",
-          "2001-11-04T00:00:00",
-          "2001-11-05T00:00:00",
-          "2001-11-06T00:00:00",
-          "2001-11-07T00:00:00",
-          "2001-11-08T00:00:00",
-          "2001-11-09T00:00:00",
-          "2001-11-10T00:00:00",
-          "2001-11-11T00:00:00",
-          "2001-11-12T00:00:00",
-          "2001-11-13T00:00:00",
-          "2001-11-14T00:00:00",
-          "2001-11-15T00:00:00",
-          "2001-11-16T00:00:00",
-          "2001-11-17T00:00:00",
-          "2001-11-18T00:00:00",
-          "2001-11-19T00:00:00",
-          "2001-11-20T00:00:00",
-          "2001-11-21T00:00:00",
-          "2001-11-22T00:00:00",
-          "2001-11-23T00:00:00",
-          "2001-11-24T00:00:00",
-          "2001-11-25T00:00:00",
-          "2001-11-26T00:00:00",
-          "2001-11-27T00:00:00",
-          "2001-11-28T00:00:00",
-          "2001-11-29T00:00:00",
-          "2001-11-30T00:00:00",
-          "2001-12-01T00:00:00",
-          "2001-12-02T00:00:00",
-          "2001-12-03T00:00:00",
-          "2001-12-04T00:00:00",
-          "2001-12-05T00:00:00",
-          "2001-12-06T00:00:00",
-          "2001-12-07T00:00:00",
-          "2001-12-08T00:00:00",
-          "2001-12-09T00:00:00",
-          "2001-12-10T00:00:00",
-          "2001-12-11T00:00:00",
-          "2001-12-12T00:00:00",
-          "2001-12-13T00:00:00",
-          "2001-12-14T00:00:00",
-          "2001-12-15T00:00:00",
-          "2001-12-16T00:00:00",
-          "2001-12-17T00:00:00",
-          "2001-12-18T00:00:00",
-          "2001-12-19T00:00:00",
-          "2001-12-20T00:00:00",
-          "2001-12-21T00:00:00",
-          "2001-12-22T00:00:00",
-          "2001-12-23T00:00:00",
-          "2001-12-24T00:00:00",
-          "2001-12-25T00:00:00",
-          "2001-12-26T00:00:00",
-          "2001-12-27T00:00:00",
-          "2001-12-28T00:00:00",
-          "2001-12-29T00:00:00",
-          "2001-12-30T00:00:00",
-          "2001-12-31T00:00:00",
-          "2002-01-01T00:00:00",
-          "2002-01-02T00:00:00",
-          "2002-01-03T00:00:00",
-          "2002-01-04T00:00:00",
-          "2002-01-05T00:00:00",
-          "2002-01-06T00:00:00",
-          "2002-01-07T00:00:00",
-          "2002-01-08T00:00:00",
-          "2002-01-09T00:00:00",
-          "2002-01-10T00:00:00",
-          "2002-01-11T00:00:00",
-          "2002-01-12T00:00:00",
-          "2002-01-13T00:00:00",
-          "2002-01-14T00:00:00",
-          "2002-01-15T00:00:00",
-          "2002-01-16T00:00:00",
-          "2002-01-17T00:00:00",
-          "2002-01-18T00:00:00",
-          "2002-01-19T00:00:00",
-          "2002-01-20T00:00:00",
-          "2002-01-21T00:00:00",
-          "2002-01-22T00:00:00",
-          "2002-01-23T00:00:00",
-          "2002-01-24T00:00:00",
-          "2002-01-25T00:00:00",
-          "2002-01-26T00:00:00",
-          "2002-01-27T00:00:00",
-          "2002-01-28T00:00:00",
-          "2002-01-29T00:00:00",
-          "2002-01-30T00:00:00",
-          "2002-01-31T00:00:00",
-          "2002-02-01T00:00:00",
-          "2002-02-02T00:00:00",
-          "2002-02-03T00:00:00",
-          "2002-02-04T00:00:00",
-          "2002-02-05T00:00:00",
-          "2002-02-06T00:00:00",
-          "2002-02-07T00:00:00",
-          "2002-02-08T00:00:00",
-          "2002-02-09T00:00:00",
-          "2002-02-10T00:00:00",
-          "2002-02-11T00:00:00",
-          "2002-02-12T00:00:00",
-          "2002-02-13T00:00:00",
-          "2002-02-14T00:00:00",
-          "2002-02-15T00:00:00",
-          "2002-02-16T00:00:00",
-          "2002-02-17T00:00:00",
-          "2002-02-18T00:00:00",
-          "2002-02-19T00:00:00",
-          "2002-02-20T00:00:00",
-          "2002-02-21T00:00:00",
-          "2002-02-22T00:00:00",
-          "2002-02-23T00:00:00",
-          "2002-02-24T00:00:00",
-          "2002-02-25T00:00:00",
-          "2002-02-26T00:00:00",
-          "2002-02-27T00:00:00",
-          "2002-02-28T00:00:00",
-          "2002-03-01T00:00:00",
-          "2002-03-02T00:00:00",
-          "2002-03-03T00:00:00",
-          "2002-03-04T00:00:00",
-          "2002-03-05T00:00:00",
-          "2002-03-06T00:00:00",
-          "2002-03-07T00:00:00",
-          "2002-03-08T00:00:00",
-          "2002-03-09T00:00:00",
-          "2002-03-10T00:00:00",
-          "2002-03-11T00:00:00",
-          "2002-03-12T00:00:00",
-          "2002-03-13T00:00:00",
-          "2002-03-14T00:00:00",
-          "2002-03-15T00:00:00",
-          "2002-03-16T00:00:00",
-          "2002-03-17T00:00:00",
-          "2002-03-18T00:00:00",
-          "2002-03-19T00:00:00",
-          "2002-03-20T00:00:00",
-          "2002-03-21T00:00:00",
-          "2002-03-22T00:00:00",
-          "2002-03-23T00:00:00",
-          "2002-03-24T00:00:00",
-          "2002-03-25T00:00:00",
-          "2002-03-26T00:00:00",
-          "2002-03-27T00:00:00",
-          "2002-03-28T00:00:00",
-          "2002-03-29T00:00:00",
-          "2002-03-30T00:00:00",
-          "2002-03-31T00:00:00",
-          "2002-04-01T00:00:00",
-          "2002-04-02T00:00:00",
-          "2002-04-03T00:00:00",
-          "2002-04-04T00:00:00",
-          "2002-04-05T00:00:00",
-          "2002-04-06T00:00:00",
-          "2002-04-07T00:00:00",
-          "2002-04-08T00:00:00",
-          "2002-04-09T00:00:00",
-          "2002-04-10T00:00:00",
-          "2002-04-11T00:00:00",
-          "2002-04-12T00:00:00",
-          "2002-04-13T00:00:00",
-          "2002-04-14T00:00:00",
-          "2002-04-15T00:00:00",
-          "2002-04-16T00:00:00",
-          "2002-04-17T00:00:00",
-          "2002-04-18T00:00:00",
-          "2002-04-19T00:00:00",
-          "2002-04-20T00:00:00",
-          "2002-04-21T00:00:00",
-          "2002-04-22T00:00:00",
-          "2002-04-23T00:00:00",
-          "2002-04-24T00:00:00",
-          "2002-04-25T00:00:00",
-          "2002-04-26T00:00:00",
-          "2002-04-27T00:00:00",
-          "2002-04-28T00:00:00",
-          "2002-04-29T00:00:00",
-          "2002-04-30T00:00:00",
-          "2002-05-01T00:00:00",
-          "2002-05-02T00:00:00",
-          "2002-05-03T00:00:00",
-          "2002-05-04T00:00:00",
-          "2002-05-05T00:00:00",
-          "2002-05-06T00:00:00",
-          "2002-05-07T00:00:00",
-          "2002-05-08T00:00:00",
-          "2002-05-09T00:00:00",
-          "2002-05-10T00:00:00",
-          "2002-05-11T00:00:00",
-          "2002-05-12T00:00:00",
-          "2002-05-13T00:00:00",
-          "2002-05-14T00:00:00",
-          "2002-05-15T00:00:00",
-          "2002-05-16T00:00:00",
-          "2002-05-17T00:00:00",
-          "2002-05-18T00:00:00",
-          "2002-05-19T00:00:00",
-          "2002-05-20T00:00:00",
-          "2002-05-21T00:00:00",
-          "2002-05-22T00:00:00",
-          "2002-05-23T00:00:00",
-          "2002-05-24T00:00:00",
-          "2002-05-25T00:00:00",
-          "2002-05-26T00:00:00",
-          "2002-05-27T00:00:00",
-          "2002-05-28T00:00:00",
-          "2002-05-29T00:00:00",
-          "2002-05-30T00:00:00",
-          "2002-05-31T00:00:00",
-          "2002-06-01T00:00:00",
-          "2002-06-02T00:00:00",
-          "2002-06-03T00:00:00",
-          "2002-06-04T00:00:00",
-          "2002-06-05T00:00:00",
-          "2002-06-06T00:00:00",
-          "2002-06-07T00:00:00",
-          "2002-06-08T00:00:00",
-          "2002-06-09T00:00:00",
-          "2002-06-10T00:00:00",
-          "2002-06-11T00:00:00",
-          "2002-06-12T00:00:00",
-          "2002-06-13T00:00:00",
-          "2002-06-14T00:00:00",
-          "2002-06-15T00:00:00",
-          "2002-06-16T00:00:00",
-          "2002-06-17T00:00:00",
-          "2002-06-18T00:00:00",
-          "2002-06-19T00:00:00",
-          "2002-06-20T00:00:00",
-          "2002-06-21T00:00:00",
-          "2002-06-22T00:00:00",
-          "2002-06-23T00:00:00",
-          "2002-06-24T00:00:00",
-          "2002-06-25T00:00:00",
-          "2002-06-26T00:00:00",
-          "2002-06-27T00:00:00",
-          "2002-06-28T00:00:00",
-          "2002-06-29T00:00:00",
-          "2002-06-30T00:00:00",
-          "2002-07-01T00:00:00",
-          "2002-07-02T00:00:00",
-          "2002-07-03T00:00:00",
-          "2002-07-04T00:00:00",
-          "2002-07-05T00:00:00",
-          "2002-07-06T00:00:00",
-          "2002-07-07T00:00:00",
-          "2002-07-08T00:00:00",
-          "2002-07-09T00:00:00",
-          "2002-07-10T00:00:00",
-          "2002-07-11T00:00:00",
-          "2002-07-12T00:00:00",
-          "2002-07-13T00:00:00",
-          "2002-07-14T00:00:00",
-          "2002-07-15T00:00:00",
-          "2002-07-16T00:00:00",
-          "2002-07-17T00:00:00",
-          "2002-07-18T00:00:00",
-          "2002-07-19T00:00:00",
-          "2002-07-20T00:00:00",
-          "2002-07-21T00:00:00",
-          "2002-07-22T00:00:00",
-          "2002-07-23T00:00:00",
-          "2002-07-24T00:00:00",
-          "2002-07-25T00:00:00",
-          "2002-07-26T00:00:00",
-          "2002-07-27T00:00:00",
-          "2002-07-28T00:00:00",
-          "2002-07-29T00:00:00",
-          "2002-07-30T00:00:00",
-          "2002-07-31T00:00:00",
-          "2002-08-01T00:00:00",
-          "2002-08-02T00:00:00",
-          "2002-08-03T00:00:00",
-          "2002-08-04T00:00:00",
-          "2002-08-05T00:00:00",
-          "2002-08-06T00:00:00",
-          "2002-08-07T00:00:00",
-          "2002-08-08T00:00:00",
-          "2002-08-09T00:00:00",
-          "2002-08-10T00:00:00",
-          "2002-08-11T00:00:00",
-          "2002-08-12T00:00:00",
-          "2002-08-13T00:00:00",
-          "2002-08-14T00:00:00",
-          "2002-08-15T00:00:00",
-          "2002-08-16T00:00:00",
-          "2002-08-17T00:00:00",
-          "2002-08-18T00:00:00",
-          "2002-08-19T00:00:00",
-          "2002-08-20T00:00:00",
-          "2002-08-21T00:00:00",
-          "2002-08-22T00:00:00",
-          "2002-08-23T00:00:00",
-          "2002-08-24T00:00:00",
-          "2002-08-25T00:00:00",
-          "2002-08-26T00:00:00",
-          "2002-08-27T00:00:00",
-          "2002-08-28T00:00:00",
-          "2002-08-29T00:00:00",
-          "2002-08-30T00:00:00",
-          "2002-08-31T00:00:00",
-          "2002-09-01T00:00:00",
-          "2002-09-02T00:00:00",
-          "2002-09-03T00:00:00",
-          "2002-09-04T00:00:00",
-          "2002-09-05T00:00:00",
-          "2002-09-06T00:00:00",
-          "2002-09-07T00:00:00",
-          "2002-09-08T00:00:00",
-          "2002-09-09T00:00:00",
-          "2002-09-10T00:00:00",
-          "2002-09-11T00:00:00",
-          "2002-09-12T00:00:00",
-          "2002-09-13T00:00:00",
-          "2002-09-14T00:00:00",
-          "2002-09-15T00:00:00",
-          "2002-09-16T00:00:00",
-          "2002-09-17T00:00:00",
-          "2002-09-18T00:00:00",
-          "2002-09-19T00:00:00",
-          "2002-09-20T00:00:00",
-          "2002-09-21T00:00:00",
-          "2002-09-22T00:00:00",
-          "2002-09-23T00:00:00",
-          "2002-09-24T00:00:00",
-          "2002-09-25T00:00:00",
-          "2002-09-26T00:00:00",
-          "2002-09-27T00:00:00",
-          "2002-09-28T00:00:00",
-          "2002-09-29T00:00:00",
-          "2002-09-30T00:00:00",
-          "2002-10-01T00:00:00",
-          "2002-10-02T00:00:00",
-          "2002-10-03T00:00:00",
-          "2002-10-04T00:00:00",
-          "2002-10-05T00:00:00",
-          "2002-10-06T00:00:00",
-          "2002-10-07T00:00:00",
-          "2002-10-08T00:00:00",
-          "2002-10-09T00:00:00",
-          "2002-10-10T00:00:00",
-          "2002-10-11T00:00:00",
-          "2002-10-12T00:00:00",
-          "2002-10-13T00:00:00",
-          "2002-10-14T00:00:00",
-          "2002-10-15T00:00:00",
-          "2002-10-16T00:00:00",
-          "2002-10-17T00:00:00",
-          "2002-10-18T00:00:00",
-          "2002-10-19T00:00:00",
-          "2002-10-20T00:00:00",
-          "2002-10-21T00:00:00",
-          "2002-10-22T00:00:00",
-          "2002-10-23T00:00:00",
-          "2002-10-24T00:00:00",
-          "2002-10-25T00:00:00",
-          "2002-10-26T00:00:00",
-          "2002-10-27T00:00:00",
-          "2002-10-28T00:00:00",
-          "2002-10-29T00:00:00",
-          "2002-10-30T00:00:00",
-          "2002-10-31T00:00:00",
-          "2002-11-01T00:00:00",
-          "2002-11-02T00:00:00",
-          "2002-11-03T00:00:00",
-          "2002-11-04T00:00:00",
-          "2002-11-05T00:00:00",
-          "2002-11-06T00:00:00",
-          "2002-11-07T00:00:00",
-          "2002-11-08T00:00:00",
-          "2002-11-09T00:00:00",
-          "2002-11-10T00:00:00",
-          "2002-11-11T00:00:00",
-          "2002-11-12T00:00:00",
-          "2002-11-13T00:00:00",
-          "2002-11-14T00:00:00",
-          "2002-11-15T00:00:00",
-          "2002-11-16T00:00:00",
-          "2002-11-17T00:00:00",
-          "2002-11-18T00:00:00",
-          "2002-11-19T00:00:00",
-          "2002-11-20T00:00:00",
-          "2002-11-21T00:00:00",
-          "2002-11-22T00:00:00",
-          "2002-11-23T00:00:00",
-          "2002-11-24T00:00:00",
-          "2002-11-25T00:00:00",
-          "2002-11-26T00:00:00",
-          "2002-11-27T00:00:00",
-          "2002-11-28T00:00:00",
-          "2002-11-29T00:00:00",
-          "2002-11-30T00:00:00",
-          "2002-12-01T00:00:00",
-          "2002-12-02T00:00:00",
-          "2002-12-03T00:00:00",
-          "2002-12-04T00:00:00",
-          "2002-12-05T00:00:00",
-          "2002-12-06T00:00:00",
-          "2002-12-07T00:00:00",
-          "2002-12-08T00:00:00",
-          "2002-12-09T00:00:00",
-          "2002-12-10T00:00:00",
-          "2002-12-11T00:00:00",
-          "2002-12-12T00:00:00",
-          "2002-12-13T00:00:00",
-          "2002-12-14T00:00:00",
-          "2002-12-15T00:00:00",
-          "2002-12-16T00:00:00",
-          "2002-12-17T00:00:00",
-          "2002-12-18T00:00:00",
-          "2002-12-19T00:00:00",
-          "2002-12-20T00:00:00",
-          "2002-12-21T00:00:00",
-          "2002-12-22T00:00:00",
-          "2002-12-23T00:00:00",
-          "2002-12-24T00:00:00",
-          "2002-12-25T00:00:00",
-          "2002-12-26T00:00:00",
-          "2002-12-27T00:00:00",
-          "2002-12-28T00:00:00",
-          "2002-12-29T00:00:00",
-          "2002-12-30T00:00:00",
-          "2002-12-31T00:00:00",
-          "2003-01-01T00:00:00",
-          "2003-01-02T00:00:00",
-          "2003-01-03T00:00:00",
-          "2003-01-04T00:00:00",
-          "2003-01-05T00:00:00",
-          "2003-01-06T00:00:00",
-          "2003-01-07T00:00:00",
-          "2003-01-08T00:00:00",
-          "2003-01-09T00:00:00",
-          "2003-01-10T00:00:00",
-          "2003-01-11T00:00:00",
-          "2003-01-12T00:00:00",
-          "2003-01-13T00:00:00",
-          "2003-01-14T00:00:00",
-          "2003-01-15T00:00:00",
-          "2003-01-16T00:00:00",
-          "2003-01-17T00:00:00",
-          "2003-01-18T00:00:00",
-          "2003-01-19T00:00:00",
-          "2003-01-20T00:00:00",
-          "2003-01-21T00:00:00",
-          "2003-01-22T00:00:00",
-          "2003-01-23T00:00:00",
-          "2003-01-24T00:00:00",
-          "2003-01-25T00:00:00",
-          "2003-01-26T00:00:00",
-          "2003-01-27T00:00:00",
-          "2003-01-28T00:00:00",
-          "2003-01-29T00:00:00",
-          "2003-01-30T00:00:00",
-          "2003-01-31T00:00:00",
-          "2003-02-01T00:00:00",
-          "2003-02-02T00:00:00",
-          "2003-02-03T00:00:00",
-          "2003-02-04T00:00:00",
-          "2003-02-05T00:00:00",
-          "2003-02-06T00:00:00",
-          "2003-02-07T00:00:00",
-          "2003-02-08T00:00:00",
-          "2003-02-09T00:00:00",
-          "2003-02-10T00:00:00",
-          "2003-02-11T00:00:00",
-          "2003-02-12T00:00:00",
-          "2003-02-13T00:00:00",
-          "2003-02-14T00:00:00",
-          "2003-02-15T00:00:00",
-          "2003-02-16T00:00:00",
-          "2003-02-17T00:00:00",
-          "2003-02-18T00:00:00",
-          "2003-02-19T00:00:00",
-          "2003-02-20T00:00:00",
-          "2003-02-21T00:00:00",
-          "2003-02-22T00:00:00",
-          "2003-02-23T00:00:00",
-          "2003-02-24T00:00:00",
-          "2003-02-25T00:00:00",
-          "2003-02-26T00:00:00",
-          "2003-02-27T00:00:00",
-          "2003-02-28T00:00:00",
-          "2003-03-01T00:00:00",
-          "2003-03-02T00:00:00",
-          "2003-03-03T00:00:00",
-          "2003-03-04T00:00:00",
-          "2003-03-05T00:00:00",
-          "2003-03-06T00:00:00",
-          "2003-03-07T00:00:00",
-          "2003-03-08T00:00:00",
-          "2003-03-09T00:00:00",
-          "2003-03-10T00:00:00",
-          "2003-03-11T00:00:00",
-          "2003-03-12T00:00:00",
-          "2003-03-13T00:00:00",
-          "2003-03-14T00:00:00",
-          "2003-03-15T00:00:00",
-          "2003-03-16T00:00:00",
-          "2003-03-17T00:00:00",
-          "2003-03-18T00:00:00",
-          "2003-03-19T00:00:00",
-          "2003-03-20T00:00:00",
-          "2003-03-21T00:00:00",
-          "2003-03-22T00:00:00",
-          "2003-03-23T00:00:00",
-          "2003-03-24T00:00:00",
-          "2003-03-25T00:00:00",
-          "2003-03-26T00:00:00",
-          "2003-03-27T00:00:00",
-          "2003-03-28T00:00:00",
-          "2003-03-29T00:00:00",
-          "2003-03-30T00:00:00",
-          "2003-03-31T00:00:00",
-          "2003-04-01T00:00:00",
-          "2003-04-02T00:00:00",
-          "2003-04-03T00:00:00",
-          "2003-04-04T00:00:00",
-          "2003-04-05T00:00:00",
-          "2003-04-06T00:00:00",
-          "2003-04-07T00:00:00",
-          "2003-04-08T00:00:00",
-          "2003-04-09T00:00:00",
-          "2003-04-10T00:00:00",
-          "2003-04-11T00:00:00",
-          "2003-04-12T00:00:00",
-          "2003-04-13T00:00:00",
-          "2003-04-14T00:00:00",
-          "2003-04-15T00:00:00",
-          "2003-04-16T00:00:00",
-          "2003-04-17T00:00:00",
-          "2003-04-18T00:00:00",
-          "2003-04-19T00:00:00",
-          "2003-04-20T00:00:00",
-          "2003-04-21T00:00:00",
-          "2003-04-22T00:00:00",
-          "2003-04-23T00:00:00",
-          "2003-04-24T00:00:00",
-          "2003-04-25T00:00:00",
-          "2003-04-26T00:00:00",
-          "2003-04-27T00:00:00",
-          "2003-04-28T00:00:00",
-          "2003-04-29T00:00:00",
-          "2003-04-30T00:00:00",
-          "2003-05-01T00:00:00",
-          "2003-05-02T00:00:00",
-          "2003-05-03T00:00:00",
-          "2003-05-04T00:00:00",
-          "2003-05-05T00:00:00",
-          "2003-05-06T00:00:00",
-          "2003-05-07T00:00:00",
-          "2003-05-08T00:00:00",
-          "2003-05-09T00:00:00",
-          "2003-05-10T00:00:00",
-          "2003-05-11T00:00:00",
-          "2003-05-12T00:00:00",
-          "2003-05-13T00:00:00",
-          "2003-05-14T00:00:00",
-          "2003-05-15T00:00:00",
-          "2003-05-16T00:00:00",
-          "2003-05-17T00:00:00",
-          "2003-05-18T00:00:00",
-          "2003-05-19T00:00:00",
-          "2003-05-20T00:00:00",
-          "2003-05-21T00:00:00",
-          "2003-05-22T00:00:00",
-          "2003-05-23T00:00:00",
-          "2003-05-24T00:00:00",
-          "2003-05-25T00:00:00",
-          "2003-05-26T00:00:00",
-          "2003-05-27T00:00:00",
-          "2003-05-28T00:00:00",
-          "2003-05-29T00:00:00",
-          "2003-05-30T00:00:00",
-          "2003-05-31T00:00:00",
-          "2003-06-01T00:00:00",
-          "2003-06-02T00:00:00",
-          "2003-06-03T00:00:00",
-          "2003-06-04T00:00:00",
-          "2003-06-05T00:00:00",
-          "2003-06-06T00:00:00",
-          "2003-06-07T00:00:00",
-          "2003-06-08T00:00:00",
-          "2003-06-09T00:00:00",
-          "2003-06-10T00:00:00",
-          "2003-06-11T00:00:00",
-          "2003-06-12T00:00:00",
-          "2003-06-13T00:00:00",
-          "2003-06-14T00:00:00",
-          "2003-06-15T00:00:00",
-          "2003-06-16T00:00:00",
-          "2003-06-17T00:00:00",
-          "2003-06-18T00:00:00",
-          "2003-06-19T00:00:00",
-          "2003-06-20T00:00:00",
-          "2003-06-21T00:00:00",
-          "2003-06-22T00:00:00",
-          "2003-06-23T00:00:00",
-          "2003-06-24T00:00:00",
-          "2003-06-25T00:00:00",
-          "2003-06-26T00:00:00",
-          "2003-06-27T00:00:00",
-          "2003-06-28T00:00:00",
-          "2003-06-29T00:00:00",
-          "2003-06-30T00:00:00",
-          "2003-07-01T00:00:00",
-          "2003-07-02T00:00:00",
-          "2003-07-03T00:00:00",
-          "2003-07-04T00:00:00",
-          "2003-07-05T00:00:00",
-          "2003-07-06T00:00:00",
-          "2003-07-07T00:00:00",
-          "2003-07-08T00:00:00",
-          "2003-07-09T00:00:00",
-          "2003-07-10T00:00:00",
-          "2003-07-11T00:00:00",
-          "2003-07-12T00:00:00",
-          "2003-07-13T00:00:00",
-          "2003-07-14T00:00:00",
-          "2003-07-15T00:00:00",
-          "2003-07-16T00:00:00",
-          "2003-07-17T00:00:00",
-          "2003-07-18T00:00:00",
-          "2003-07-19T00:00:00",
-          "2003-07-20T00:00:00",
-          "2003-07-21T00:00:00",
-          "2003-07-22T00:00:00",
-          "2003-07-23T00:00:00",
-          "2003-07-24T00:00:00",
-          "2003-07-25T00:00:00",
-          "2003-07-26T00:00:00",
-          "2003-07-27T00:00:00",
-          "2003-07-28T00:00:00",
-          "2003-07-29T00:00:00",
-          "2003-07-30T00:00:00",
-          "2003-07-31T00:00:00",
-          "2003-08-01T00:00:00",
-          "2003-08-02T00:00:00",
-          "2003-08-03T00:00:00",
-          "2003-08-04T00:00:00",
-          "2003-08-05T00:00:00",
-          "2003-08-06T00:00:00",
-          "2003-08-07T00:00:00",
-          "2003-08-08T00:00:00",
-          "2003-08-09T00:00:00",
-          "2003-08-10T00:00:00",
-          "2003-08-11T00:00:00",
-          "2003-08-12T00:00:00",
-          "2003-08-13T00:00:00",
-          "2003-08-14T00:00:00",
-          "2003-08-15T00:00:00",
-          "2003-08-16T00:00:00",
-          "2003-08-17T00:00:00",
-          "2003-08-18T00:00:00",
-          "2003-08-19T00:00:00",
-          "2003-08-20T00:00:00",
-          "2003-08-21T00:00:00",
-          "2003-08-22T00:00:00",
-          "2003-08-23T00:00:00",
-          "2003-08-24T00:00:00",
-          "2003-08-25T00:00:00",
-          "2003-08-26T00:00:00",
-          "2003-08-27T00:00:00",
-          "2003-08-28T00:00:00",
-          "2003-08-29T00:00:00",
-          "2003-08-30T00:00:00",
-          "2003-08-31T00:00:00",
-          "2003-09-01T00:00:00",
-          "2003-09-02T00:00:00",
-          "2003-09-03T00:00:00",
-          "2003-09-04T00:00:00",
-          "2003-09-05T00:00:00",
-          "2003-09-06T00:00:00",
-          "2003-09-07T00:00:00",
-          "2003-09-08T00:00:00",
-          "2003-09-09T00:00:00",
-          "2003-09-10T00:00:00",
-          "2003-09-11T00:00:00",
-          "2003-09-12T00:00:00",
-          "2003-09-13T00:00:00",
-          "2003-09-14T00:00:00",
-          "2003-09-15T00:00:00",
-          "2003-09-16T00:00:00",
-          "2003-09-17T00:00:00",
-          "2003-09-18T00:00:00",
-          "2003-09-19T00:00:00",
-          "2003-09-20T00:00:00",
-          "2003-09-21T00:00:00",
-          "2003-09-22T00:00:00",
-          "2003-09-23T00:00:00",
-          "2003-09-24T00:00:00",
-          "2003-09-25T00:00:00",
-          "2003-09-26T00:00:00",
-          "2003-09-27T00:00:00",
-          "2003-09-28T00:00:00",
-          "2003-09-29T00:00:00",
-          "2003-09-30T00:00:00",
-          "2003-10-01T00:00:00",
-          "2003-10-02T00:00:00",
-          "2003-10-03T00:00:00",
-          "2003-10-04T00:00:00",
-          "2003-10-05T00:00:00",
-          "2003-10-06T00:00:00",
-          "2003-10-07T00:00:00",
-          "2003-10-08T00:00:00",
-          "2003-10-09T00:00:00",
-          "2003-10-10T00:00:00",
-          "2003-10-11T00:00:00",
-          "2003-10-12T00:00:00",
-          "2003-10-13T00:00:00",
-          "2003-10-14T00:00:00",
-          "2003-10-15T00:00:00",
-          "2003-10-16T00:00:00",
-          "2003-10-17T00:00:00",
-          "2003-10-18T00:00:00",
-          "2003-10-19T00:00:00",
-          "2003-10-20T00:00:00",
-          "2003-10-21T00:00:00",
-          "2003-10-22T00:00:00",
-          "2003-10-23T00:00:00",
-          "2003-10-24T00:00:00",
-          "2003-10-25T00:00:00",
-          "2003-10-26T00:00:00",
-          "2003-10-27T00:00:00",
-          "2003-10-28T00:00:00",
-          "2003-10-29T00:00:00",
-          "2003-10-30T00:00:00",
-          "2003-10-31T00:00:00",
-          "2003-11-01T00:00:00",
-          "2003-11-02T00:00:00",
-          "2003-11-03T00:00:00",
-          "2003-11-04T00:00:00",
-          "2003-11-05T00:00:00",
-          "2003-11-06T00:00:00",
-          "2003-11-07T00:00:00",
-          "2003-11-08T00:00:00",
-          "2003-11-09T00:00:00",
-          "2003-11-10T00:00:00",
-          "2003-11-11T00:00:00",
-          "2003-11-12T00:00:00",
-          "2003-11-13T00:00:00",
-          "2003-11-14T00:00:00",
-          "2003-11-15T00:00:00",
-          "2003-11-16T00:00:00",
-          "2003-11-17T00:00:00",
-          "2003-11-18T00:00:00",
-          "2003-11-19T00:00:00",
-          "2003-11-20T00:00:00",
-          "2003-11-21T00:00:00",
-          "2003-11-22T00:00:00",
-          "2003-11-23T00:00:00",
-          "2003-11-24T00:00:00",
-          "2003-11-25T00:00:00",
-          "2003-11-26T00:00:00",
-          "2003-11-27T00:00:00",
-          "2003-11-28T00:00:00",
-          "2003-11-29T00:00:00",
-          "2003-11-30T00:00:00",
-          "2003-12-01T00:00:00",
-          "2003-12-02T00:00:00",
-          "2003-12-03T00:00:00",
-          "2003-12-04T00:00:00",
-          "2003-12-05T00:00:00",
-          "2003-12-06T00:00:00",
-          "2003-12-07T00:00:00",
-          "2003-12-08T00:00:00",
-          "2003-12-09T00:00:00",
-          "2003-12-10T00:00:00",
-          "2003-12-11T00:00:00",
-          "2003-12-12T00:00:00",
-          "2003-12-13T00:00:00",
-          "2003-12-14T00:00:00",
-          "2003-12-15T00:00:00",
-          "2003-12-16T00:00:00",
-          "2003-12-17T00:00:00",
-          "2003-12-18T00:00:00",
-          "2003-12-19T00:00:00",
-          "2003-12-20T00:00:00",
-          "2003-12-21T00:00:00",
-          "2003-12-22T00:00:00",
-          "2003-12-23T00:00:00",
-          "2003-12-24T00:00:00",
-          "2003-12-25T00:00:00",
-          "2003-12-26T00:00:00",
-          "2003-12-27T00:00:00",
-          "2003-12-28T00:00:00",
-          "2003-12-29T00:00:00",
-          "2003-12-30T00:00:00",
-          "2003-12-31T00:00:00",
-          "2004-01-01T00:00:00",
-          "2004-01-02T00:00:00",
-          "2004-01-03T00:00:00",
-          "2004-01-04T00:00:00",
-          "2004-01-05T00:00:00",
-          "2004-01-06T00:00:00",
-          "2004-01-07T00:00:00",
-          "2004-01-08T00:00:00",
-          "2004-01-09T00:00:00",
-          "2004-01-10T00:00:00",
-          "2004-01-11T00:00:00",
-          "2004-01-12T00:00:00",
-          "2004-01-13T00:00:00",
-          "2004-01-14T00:00:00",
-          "2004-01-15T00:00:00",
-          "2004-01-16T00:00:00",
-          "2004-01-17T00:00:00",
-          "2004-01-18T00:00:00",
-          "2004-01-19T00:00:00",
-          "2004-01-20T00:00:00",
-          "2004-01-21T00:00:00",
-          "2004-01-22T00:00:00",
-          "2004-01-23T00:00:00",
-          "2004-01-24T00:00:00",
-          "2004-01-25T00:00:00",
-          "2004-01-26T00:00:00",
-          "2004-01-27T00:00:00",
-          "2004-01-28T00:00:00",
-          "2004-01-29T00:00:00",
-          "2004-01-30T00:00:00",
-          "2004-01-31T00:00:00",
-          "2004-02-01T00:00:00",
-          "2004-02-02T00:00:00",
-          "2004-02-03T00:00:00",
-          "2004-02-04T00:00:00",
-          "2004-02-05T00:00:00",
-          "2004-02-06T00:00:00",
-          "2004-02-07T00:00:00",
-          "2004-02-08T00:00:00",
-          "2004-02-09T00:00:00",
-          "2004-02-10T00:00:00",
-          "2004-02-11T00:00:00",
-          "2004-02-12T00:00:00",
-          "2004-02-13T00:00:00",
-          "2004-02-14T00:00:00",
-          "2004-02-15T00:00:00",
-          "2004-02-16T00:00:00",
-          "2004-02-17T00:00:00",
-          "2004-02-18T00:00:00",
-          "2004-02-19T00:00:00",
-          "2004-02-20T00:00:00",
-          "2004-02-21T00:00:00",
-          "2004-02-22T00:00:00",
-          "2004-02-23T00:00:00",
-          "2004-02-24T00:00:00",
-          "2004-02-25T00:00:00",
-          "2004-02-26T00:00:00",
-          "2004-02-27T00:00:00",
-          "2004-02-28T00:00:00",
-          "2004-02-29T00:00:00",
-          "2004-03-01T00:00:00",
-          "2004-03-02T00:00:00",
-          "2004-03-03T00:00:00",
-          "2004-03-04T00:00:00",
-          "2004-03-05T00:00:00",
-          "2004-03-06T00:00:00",
-          "2004-03-07T00:00:00",
-          "2004-03-08T00:00:00",
-          "2004-03-09T00:00:00",
-          "2004-03-10T00:00:00",
-          "2004-03-11T00:00:00",
-          "2004-03-12T00:00:00",
-          "2004-03-13T00:00:00",
-          "2004-03-14T00:00:00",
-          "2004-03-15T00:00:00",
-          "2004-03-16T00:00:00",
-          "2004-03-17T00:00:00",
-          "2004-03-18T00:00:00",
-          "2004-03-19T00:00:00",
-          "2004-03-20T00:00:00",
-          "2004-03-21T00:00:00",
-          "2004-03-22T00:00:00",
-          "2004-03-23T00:00:00",
-          "2004-03-24T00:00:00",
-          "2004-03-25T00:00:00",
-          "2004-03-26T00:00:00",
-          "2004-03-27T00:00:00",
-          "2004-03-28T00:00:00",
-          "2004-03-29T00:00:00",
-          "2004-03-30T00:00:00",
-          "2004-03-31T00:00:00",
-          "2004-04-01T00:00:00",
-          "2004-04-02T00:00:00",
-          "2004-04-03T00:00:00",
-          "2004-04-04T00:00:00",
-          "2004-04-05T00:00:00",
-          "2004-04-06T00:00:00",
-          "2004-04-07T00:00:00",
-          "2004-04-08T00:00:00",
-          "2004-04-09T00:00:00",
-          "2004-04-10T00:00:00",
-          "2004-04-11T00:00:00",
-          "2004-04-12T00:00:00",
-          "2004-04-13T00:00:00",
-          "2004-04-14T00:00:00",
-          "2004-04-15T00:00:00",
-          "2004-04-16T00:00:00",
-          "2004-04-17T00:00:00",
-          "2004-04-18T00:00:00",
-          "2004-04-19T00:00:00",
-          "2004-04-20T00:00:00",
-          "2004-04-21T00:00:00",
-          "2004-04-22T00:00:00",
-          "2004-04-23T00:00:00",
-          "2004-04-24T00:00:00",
-          "2004-04-25T00:00:00",
-          "2004-04-26T00:00:00",
-          "2004-04-27T00:00:00",
-          "2004-04-28T00:00:00",
-          "2004-04-29T00:00:00",
-          "2004-04-30T00:00:00",
-          "2004-05-01T00:00:00",
-          "2004-05-02T00:00:00",
-          "2004-05-03T00:00:00",
-          "2004-05-04T00:00:00",
-          "2004-05-05T00:00:00",
-          "2004-05-06T00:00:00",
-          "2004-05-07T00:00:00",
-          "2004-05-08T00:00:00",
-          "2004-05-09T00:00:00",
-          "2004-05-10T00:00:00",
-          "2004-05-11T00:00:00",
-          "2004-05-12T00:00:00",
-          "2004-05-13T00:00:00",
-          "2004-05-14T00:00:00",
-          "2004-05-15T00:00:00",
-          "2004-05-16T00:00:00",
-          "2004-05-17T00:00:00",
-          "2004-05-18T00:00:00",
-          "2004-05-19T00:00:00",
-          "2004-05-20T00:00:00",
-          "2004-05-21T00:00:00",
-          "2004-05-22T00:00:00",
-          "2004-05-23T00:00:00",
-          "2004-05-24T00:00:00",
-          "2004-05-25T00:00:00",
-          "2004-05-26T00:00:00",
-          "2004-05-27T00:00:00",
-          "2004-05-28T00:00:00",
-          "2004-05-29T00:00:00",
-          "2004-05-30T00:00:00",
-          "2004-05-31T00:00:00",
-          "2004-06-01T00:00:00",
-          "2004-06-02T00:00:00",
-          "2004-06-03T00:00:00",
-          "2004-06-04T00:00:00",
-          "2004-06-05T00:00:00",
-          "2004-06-06T00:00:00",
-          "2004-06-07T00:00:00",
-          "2004-06-08T00:00:00",
-          "2004-06-09T00:00:00",
-          "2004-06-10T00:00:00",
-          "2004-06-11T00:00:00",
-          "2004-06-12T00:00:00",
-          "2004-06-13T00:00:00",
-          "2004-06-14T00:00:00",
-          "2004-06-15T00:00:00",
-          "2004-06-16T00:00:00",
-          "2004-06-17T00:00:00",
-          "2004-06-18T00:00:00",
-          "2004-06-19T00:00:00",
-          "2004-06-20T00:00:00",
-          "2004-06-21T00:00:00",
-          "2004-06-22T00:00:00",
-          "2004-06-23T00:00:00",
-          "2004-06-24T00:00:00",
-          "2004-06-25T00:00:00",
-          "2004-06-26T00:00:00",
-          "2004-06-27T00:00:00",
-          "2004-06-28T00:00:00",
-          "2004-06-29T00:00:00",
-          "2004-06-30T00:00:00",
-          "2004-07-01T00:00:00",
-          "2004-07-02T00:00:00",
-          "2004-07-03T00:00:00",
-          "2004-07-04T00:00:00",
-          "2004-07-05T00:00:00",
-          "2004-07-06T00:00:00",
-          "2004-07-07T00:00:00",
-          "2004-07-08T00:00:00",
-          "2004-07-09T00:00:00",
-          "2004-07-10T00:00:00",
-          "2004-07-11T00:00:00",
-          "2004-07-12T00:00:00",
-          "2004-07-13T00:00:00",
-          "2004-07-14T00:00:00",
-          "2004-07-15T00:00:00",
-          "2004-07-16T00:00:00",
-          "2004-07-17T00:00:00",
-          "2004-07-18T00:00:00",
-          "2004-07-19T00:00:00",
-          "2004-07-20T00:00:00",
-          "2004-07-21T00:00:00",
-          "2004-07-22T00:00:00",
-          "2004-07-23T00:00:00",
-          "2004-07-24T00:00:00",
-          "2004-07-25T00:00:00",
-          "2004-07-26T00:00:00",
-          "2004-07-27T00:00:00",
-          "2004-07-28T00:00:00",
-          "2004-07-29T00:00:00",
-          "2004-07-30T00:00:00",
-          "2004-07-31T00:00:00",
-          "2004-08-01T00:00:00",
-          "2004-08-02T00:00:00",
-          "2004-08-03T00:00:00",
-          "2004-08-04T00:00:00",
-          "2004-08-05T00:00:00",
-          "2004-08-06T00:00:00",
-          "2004-08-07T00:00:00",
-          "2004-08-08T00:00:00",
-          "2004-08-09T00:00:00",
-          "2004-08-10T00:00:00",
-          "2004-08-11T00:00:00",
-          "2004-08-12T00:00:00",
-          "2004-08-13T00:00:00",
-          "2004-08-14T00:00:00",
-          "2004-08-15T00:00:00",
-          "2004-08-16T00:00:00",
-          "2004-08-17T00:00:00",
-          "2004-08-18T00:00:00",
-          "2004-08-19T00:00:00",
-          "2004-08-20T00:00:00",
-          "2004-08-21T00:00:00",
-          "2004-08-22T00:00:00",
-          "2004-08-23T00:00:00",
-          "2004-08-24T00:00:00",
-          "2004-08-25T00:00:00",
-          "2004-08-26T00:00:00",
-          "2004-08-27T00:00:00",
-          "2004-08-28T00:00:00",
-          "2004-08-29T00:00:00",
-          "2004-08-30T00:00:00",
-          "2004-08-31T00:00:00",
-          "2004-09-01T00:00:00",
-          "2004-09-02T00:00:00",
-          "2004-09-03T00:00:00",
-          "2004-09-04T00:00:00",
-          "2004-09-05T00:00:00",
-          "2004-09-06T00:00:00",
-          "2004-09-07T00:00:00",
-          "2004-09-08T00:00:00",
-          "2004-09-09T00:00:00",
-          "2004-09-10T00:00:00",
-          "2004-09-11T00:00:00",
-          "2004-09-12T00:00:00",
-          "2004-09-13T00:00:00",
-          "2004-09-14T00:00:00",
-          "2004-09-15T00:00:00",
-          "2004-09-16T00:00:00",
-          "2004-09-17T00:00:00",
-          "2004-09-18T00:00:00",
-          "2004-09-19T00:00:00",
-          "2004-09-20T00:00:00",
-          "2004-09-21T00:00:00",
-          "2004-09-22T00:00:00",
-          "2004-09-23T00:00:00",
-          "2004-09-24T00:00:00",
-          "2004-09-25T00:00:00",
-          "2004-09-26T00:00:00",
-          "2004-09-27T00:00:00",
-          "2004-09-28T00:00:00",
-          "2004-09-29T00:00:00",
-          "2004-09-30T00:00:00",
-          "2004-10-01T00:00:00",
-          "2004-10-02T00:00:00",
-          "2004-10-03T00:00:00",
-          "2004-10-04T00:00:00",
-          "2004-10-05T00:00:00",
-          "2004-10-06T00:00:00",
-          "2004-10-07T00:00:00",
-          "2004-10-08T00:00:00",
-          "2004-10-09T00:00:00",
-          "2004-10-10T00:00:00",
-          "2004-10-11T00:00:00",
-          "2004-10-12T00:00:00",
-          "2004-10-13T00:00:00",
-          "2004-10-14T00:00:00",
-          "2004-10-15T00:00:00",
-          "2004-10-16T00:00:00",
-          "2004-10-17T00:00:00",
-          "2004-10-18T00:00:00",
-          "2004-10-19T00:00:00",
-          "2004-10-20T00:00:00",
-          "2004-10-21T00:00:00",
-          "2004-10-22T00:00:00",
-          "2004-10-23T00:00:00",
-          "2004-10-24T00:00:00",
-          "2004-10-25T00:00:00",
-          "2004-10-26T00:00:00",
-          "2004-10-27T00:00:00",
-          "2004-10-28T00:00:00",
-          "2004-10-29T00:00:00",
-          "2004-10-30T00:00:00",
-          "2004-10-31T00:00:00",
-          "2004-11-01T00:00:00",
-          "2004-11-02T00:00:00",
-          "2004-11-03T00:00:00",
-          "2004-11-04T00:00:00",
-          "2004-11-05T00:00:00",
-          "2004-11-06T00:00:00",
-          "2004-11-07T00:00:00",
-          "2004-11-08T00:00:00",
-          "2004-11-09T00:00:00",
-          "2004-11-10T00:00:00",
-          "2004-11-11T00:00:00",
-          "2004-11-12T00:00:00",
-          "2004-11-13T00:00:00",
-          "2004-11-14T00:00:00",
-          "2004-11-15T00:00:00",
-          "2004-11-16T00:00:00",
-          "2004-11-17T00:00:00",
-          "2004-11-18T00:00:00",
-          "2004-11-19T00:00:00",
-          "2004-11-20T00:00:00",
-          "2004-11-21T00:00:00",
-          "2004-11-22T00:00:00",
-          "2004-11-23T00:00:00",
-          "2004-11-24T00:00:00",
-          "2004-11-25T00:00:00",
-          "2004-11-26T00:00:00",
-          "2004-11-27T00:00:00",
-          "2004-11-28T00:00:00",
-          "2004-11-29T00:00:00",
-          "2004-11-30T00:00:00",
-          "2004-12-01T00:00:00",
-          "2004-12-02T00:00:00",
-          "2004-12-03T00:00:00",
-          "2004-12-04T00:00:00",
-          "2004-12-05T00:00:00",
-          "2004-12-06T00:00:00",
-          "2004-12-07T00:00:00",
-          "2004-12-08T00:00:00",
-          "2004-12-09T00:00:00",
-          "2004-12-10T00:00:00",
-          "2004-12-11T00:00:00",
-          "2004-12-12T00:00:00",
-          "2004-12-13T00:00:00",
-          "2004-12-14T00:00:00",
-          "2004-12-15T00:00:00",
-          "2004-12-16T00:00:00",
-          "2004-12-17T00:00:00",
-          "2004-12-18T00:00:00",
-          "2004-12-19T00:00:00",
-          "2004-12-20T00:00:00",
-          "2004-12-21T00:00:00",
-          "2004-12-22T00:00:00",
-          "2004-12-23T00:00:00",
-          "2004-12-24T00:00:00",
-          "2004-12-25T00:00:00",
-          "2004-12-26T00:00:00",
-          "2004-12-27T00:00:00",
-          "2004-12-28T00:00:00",
-          "2004-12-29T00:00:00",
-          "2004-12-30T00:00:00",
-          "2004-12-31T00:00:00",
-          "2005-01-01T00:00:00",
-          "2005-01-02T00:00:00",
-          "2005-01-03T00:00:00",
-          "2005-01-04T00:00:00",
-          "2005-01-05T00:00:00",
-          "2005-01-06T00:00:00",
-          "2005-01-07T00:00:00",
-          "2005-01-08T00:00:00",
-          "2005-01-09T00:00:00",
-          "2005-01-10T00:00:00",
-          "2005-01-11T00:00:00",
-          "2005-01-12T00:00:00",
-          "2005-01-13T00:00:00",
-          "2005-01-14T00:00:00",
-          "2005-01-15T00:00:00",
-          "2005-01-16T00:00:00",
-          "2005-01-17T00:00:00",
-          "2005-01-18T00:00:00",
-          "2005-01-19T00:00:00",
-          "2005-01-20T00:00:00",
-          "2005-01-21T00:00:00",
-          "2005-01-22T00:00:00",
-          "2005-01-23T00:00:00",
-          "2005-01-24T00:00:00",
-          "2005-01-25T00:00:00",
-          "2005-01-26T00:00:00",
-          "2005-01-27T00:00:00",
-          "2005-01-28T00:00:00",
-          "2005-01-29T00:00:00",
-          "2005-01-30T00:00:00",
-          "2005-01-31T00:00:00",
-          "2005-02-01T00:00:00",
-          "2005-02-02T00:00:00",
-          "2005-02-03T00:00:00",
-          "2005-02-04T00:00:00",
-          "2005-02-05T00:00:00",
-          "2005-02-06T00:00:00",
-          "2005-02-07T00:00:00",
-          "2005-02-08T00:00:00",
-          "2005-02-09T00:00:00",
-          "2005-02-10T00:00:00",
-          "2005-02-11T00:00:00",
-          "2005-02-12T00:00:00",
-          "2005-02-13T00:00:00",
-          "2005-02-14T00:00:00",
-          "2005-02-15T00:00:00",
-          "2005-02-16T00:00:00",
-          "2005-02-17T00:00:00",
-          "2005-02-18T00:00:00",
-          "2005-02-19T00:00:00",
-          "2005-02-20T00:00:00",
-          "2005-02-21T00:00:00",
-          "2005-02-22T00:00:00",
-          "2005-02-23T00:00:00",
-          "2005-02-24T00:00:00",
-          "2005-02-25T00:00:00",
-          "2005-02-26T00:00:00",
-          "2005-02-27T00:00:00",
-          "2005-02-28T00:00:00",
-          "2005-03-01T00:00:00",
-          "2005-03-02T00:00:00",
-          "2005-03-03T00:00:00",
-          "2005-03-04T00:00:00",
-          "2005-03-05T00:00:00",
-          "2005-03-06T00:00:00",
-          "2005-03-07T00:00:00",
-          "2005-03-08T00:00:00",
-          "2005-03-09T00:00:00",
-          "2005-03-10T00:00:00",
-          "2005-03-11T00:00:00",
-          "2005-03-12T00:00:00",
-          "2005-03-13T00:00:00",
-          "2005-03-14T00:00:00",
-          "2005-03-15T00:00:00",
-          "2005-03-16T00:00:00",
-          "2005-03-17T00:00:00",
-          "2005-03-18T00:00:00",
-          "2005-03-19T00:00:00",
-          "2005-03-20T00:00:00",
-          "2005-03-21T00:00:00",
-          "2005-03-22T00:00:00",
-          "2005-03-23T00:00:00",
-          "2005-03-24T00:00:00",
-          "2005-03-25T00:00:00",
-          "2005-03-26T00:00:00",
-          "2005-03-27T00:00:00",
-          "2005-03-28T00:00:00",
-          "2005-03-29T00:00:00",
-          "2005-03-30T00:00:00",
-          "2005-03-31T00:00:00",
-          "2005-04-01T00:00:00",
-          "2005-04-02T00:00:00",
-          "2005-04-03T00:00:00",
-          "2005-04-04T00:00:00",
-          "2005-04-05T00:00:00",
-          "2005-04-06T00:00:00",
-          "2005-04-07T00:00:00",
-          "2005-04-08T00:00:00",
-          "2005-04-09T00:00:00",
-          "2005-04-10T00:00:00",
-          "2005-04-11T00:00:00",
-          "2005-04-12T00:00:00",
-          "2005-04-13T00:00:00",
-          "2005-04-14T00:00:00",
-          "2005-04-15T00:00:00",
-          "2005-04-16T00:00:00",
-          "2005-04-17T00:00:00",
-          "2005-04-18T00:00:00",
-          "2005-04-19T00:00:00",
-          "2005-04-20T00:00:00",
-          "2005-04-21T00:00:00",
-          "2005-04-22T00:00:00",
-          "2005-04-23T00:00:00",
-          "2005-04-24T00:00:00",
-          "2005-04-25T00:00:00",
-          "2005-04-26T00:00:00",
-          "2005-04-27T00:00:00",
-          "2005-04-28T00:00:00",
-          "2005-04-29T00:00:00",
-          "2005-04-30T00:00:00",
-          "2005-05-01T00:00:00",
-          "2005-05-02T00:00:00",
-          "2005-05-03T00:00:00",
-          "2005-05-04T00:00:00",
-          "2005-05-05T00:00:00",
-          "2005-05-06T00:00:00",
-          "2005-05-07T00:00:00",
-          "2005-05-08T00:00:00",
-          "2005-05-09T00:00:00",
-          "2005-05-10T00:00:00",
-          "2005-05-11T00:00:00",
-          "2005-05-12T00:00:00",
-          "2005-05-13T00:00:00",
-          "2005-05-14T00:00:00",
-          "2005-05-15T00:00:00",
-          "2005-05-16T00:00:00",
-          "2005-05-17T00:00:00",
-          "2005-05-18T00:00:00",
-          "2005-05-19T00:00:00",
-          "2005-05-20T00:00:00",
-          "2005-05-21T00:00:00",
-          "2005-05-22T00:00:00",
-          "2005-05-23T00:00:00",
-          "2005-05-24T00:00:00",
-          "2005-05-25T00:00:00",
-          "2005-05-26T00:00:00",
-          "2005-05-27T00:00:00",
-          "2005-05-28T00:00:00",
-          "2005-05-29T00:00:00",
-          "2005-05-30T00:00:00",
-          "2005-05-31T00:00:00",
-          "2005-06-01T00:00:00",
-          "2005-06-02T00:00:00",
-          "2005-06-03T00:00:00",
-          "2005-06-04T00:00:00",
-          "2005-06-05T00:00:00",
-          "2005-06-06T00:00:00",
-          "2005-06-07T00:00:00",
-          "2005-06-08T00:00:00",
-          "2005-06-09T00:00:00",
-          "2005-06-10T00:00:00",
-          "2005-06-11T00:00:00",
-          "2005-06-12T00:00:00",
-          "2005-06-13T00:00:00",
-          "2005-06-14T00:00:00",
-          "2005-06-15T00:00:00",
-          "2005-06-16T00:00:00",
-          "2005-06-17T00:00:00",
-          "2005-06-18T00:00:00",
-          "2005-06-19T00:00:00",
-          "2005-06-20T00:00:00",
-          "2005-06-21T00:00:00",
-          "2005-06-22T00:00:00",
-          "2005-06-23T00:00:00",
-          "2005-06-24T00:00:00",
-          "2005-06-25T00:00:00",
-          "2005-06-26T00:00:00",
-          "2005-06-27T00:00:00",
-          "2005-06-28T00:00:00",
-          "2005-06-29T00:00:00",
-          "2005-06-30T00:00:00",
-          "2005-07-01T00:00:00",
-          "2005-07-02T00:00:00",
-          "2005-07-03T00:00:00",
-          "2005-07-04T00:00:00",
-          "2005-07-05T00:00:00",
-          "2005-07-06T00:00:00",
-          "2005-07-07T00:00:00",
-          "2005-07-08T00:00:00",
-          "2005-07-09T00:00:00",
-          "2005-07-10T00:00:00",
-          "2005-07-11T00:00:00",
-          "2005-07-12T00:00:00",
-          "2005-07-13T00:00:00",
-          "2005-07-14T00:00:00",
-          "2005-07-15T00:00:00",
-          "2005-07-16T00:00:00",
-          "2005-07-17T00:00:00",
-          "2005-07-18T00:00:00",
-          "2005-07-19T00:00:00",
-          "2005-07-20T00:00:00",
-          "2005-07-21T00:00:00",
-          "2005-07-22T00:00:00",
-          "2005-07-23T00:00:00",
-          "2005-07-24T00:00:00",
-          "2005-07-25T00:00:00",
-          "2005-07-26T00:00:00",
-          "2005-07-27T00:00:00",
-          "2005-07-28T00:00:00",
-          "2005-07-29T00:00:00",
-          "2005-07-30T00:00:00",
-          "2005-07-31T00:00:00",
-          "2005-08-01T00:00:00",
-          "2005-08-02T00:00:00",
-          "2005-08-03T00:00:00",
-          "2005-08-04T00:00:00",
-          "2005-08-05T00:00:00",
-          "2005-08-06T00:00:00",
-          "2005-08-07T00:00:00",
-          "2005-08-08T00:00:00",
-          "2005-08-09T00:00:00",
-          "2005-08-10T00:00:00",
-          "2005-08-11T00:00:00",
-          "2005-08-12T00:00:00",
-          "2005-08-13T00:00:00",
-          "2005-08-14T00:00:00",
-          "2005-08-15T00:00:00",
-          "2005-08-16T00:00:00",
-          "2005-08-17T00:00:00",
-          "2005-08-18T00:00:00",
-          "2005-08-19T00:00:00",
-          "2005-08-20T00:00:00",
-          "2005-08-21T00:00:00",
-          "2005-08-22T00:00:00",
-          "2005-08-23T00:00:00",
-          "2005-08-24T00:00:00",
-          "2005-08-25T00:00:00",
-          "2005-08-26T00:00:00",
-          "2005-08-27T00:00:00",
-          "2005-08-28T00:00:00",
-          "2005-08-29T00:00:00",
-          "2005-08-30T00:00:00",
-          "2005-08-31T00:00:00",
-          "2005-09-01T00:00:00",
-          "2005-09-02T00:00:00",
-          "2005-09-03T00:00:00",
-          "2005-09-04T00:00:00",
-          "2005-09-05T00:00:00",
-          "2005-09-06T00:00:00",
-          "2005-09-07T00:00:00",
-          "2005-09-08T00:00:00",
-          "2005-09-09T00:00:00",
-          "2005-09-10T00:00:00",
-          "2005-09-11T00:00:00",
-          "2005-09-12T00:00:00",
-          "2005-09-13T00:00:00",
-          "2005-09-14T00:00:00",
-          "2005-09-15T00:00:00",
-          "2005-09-16T00:00:00",
-          "2005-09-17T00:00:00",
-          "2005-09-18T00:00:00",
-          "2005-09-19T00:00:00",
-          "2005-09-20T00:00:00",
-          "2005-09-21T00:00:00",
-          "2005-09-22T00:00:00",
-          "2005-09-23T00:00:00",
-          "2005-09-24T00:00:00",
-          "2005-09-25T00:00:00",
-          "2005-09-26T00:00:00",
-          "2005-09-27T00:00:00",
-          "2005-09-28T00:00:00",
-          "2005-09-29T00:00:00",
-          "2005-09-30T00:00:00",
-          "2005-10-01T00:00:00",
-          "2005-10-02T00:00:00",
-          "2005-10-03T00:00:00",
-          "2005-10-04T00:00:00",
-          "2005-10-05T00:00:00",
-          "2005-10-06T00:00:00",
-          "2005-10-07T00:00:00",
-          "2005-10-08T00:00:00",
-          "2005-10-09T00:00:00",
-          "2005-10-10T00:00:00",
-          "2005-10-11T00:00:00",
-          "2005-10-12T00:00:00",
-          "2005-10-13T00:00:00",
-          "2005-10-14T00:00:00",
-          "2005-10-15T00:00:00",
-          "2005-10-16T00:00:00",
-          "2005-10-17T00:00:00",
-          "2005-10-18T00:00:00",
-          "2005-10-19T00:00:00",
-          "2005-10-20T00:00:00",
-          "2005-10-21T00:00:00",
-          "2005-10-22T00:00:00",
-          "2005-10-23T00:00:00",
-          "2005-10-24T00:00:00",
-          "2005-10-25T00:00:00",
-          "2005-10-26T00:00:00",
-          "2005-10-27T00:00:00",
-          "2005-10-28T00:00:00",
-          "2005-10-29T00:00:00",
-          "2005-10-30T00:00:00",
-          "2005-10-31T00:00:00",
-          "2005-11-01T00:00:00",
-          "2005-11-02T00:00:00",
-          "2005-11-03T00:00:00",
-          "2005-11-04T00:00:00",
-          "2005-11-05T00:00:00",
-          "2005-11-06T00:00:00",
-          "2005-11-07T00:00:00",
-          "2005-11-08T00:00:00",
-          "2005-11-09T00:00:00",
-          "2005-11-10T00:00:00",
-          "2005-11-11T00:00:00",
-          "2005-11-12T00:00:00",
-          "2005-11-13T00:00:00",
-          "2005-11-14T00:00:00",
-          "2005-11-15T00:00:00",
-          "2005-11-16T00:00:00",
-          "2005-11-17T00:00:00",
-          "2005-11-18T00:00:00",
-          "2005-11-19T00:00:00",
-          "2005-11-20T00:00:00",
-          "2005-11-21T00:00:00",
-          "2005-11-22T00:00:00",
-          "2005-11-23T00:00:00",
-          "2005-11-24T00:00:00",
-          "2005-11-25T00:00:00",
-          "2005-11-26T00:00:00",
-          "2005-11-27T00:00:00",
-          "2005-11-28T00:00:00",
-          "2005-11-29T00:00:00",
-          "2005-11-30T00:00:00",
-          "2005-12-01T00:00:00",
-          "2005-12-02T00:00:00",
-          "2005-12-03T00:00:00",
-          "2005-12-04T00:00:00",
-          "2005-12-05T00:00:00",
-          "2005-12-06T00:00:00",
-          "2005-12-07T00:00:00",
-          "2005-12-08T00:00:00",
-          "2005-12-09T00:00:00",
-          "2005-12-10T00:00:00",
-          "2005-12-11T00:00:00",
-          "2005-12-12T00:00:00",
-          "2005-12-13T00:00:00",
-          "2005-12-14T00:00:00",
-          "2005-12-15T00:00:00",
-          "2005-12-16T00:00:00",
-          "2005-12-17T00:00:00",
-          "2005-12-18T00:00:00",
-          "2005-12-19T00:00:00",
-          "2005-12-20T00:00:00",
-          "2005-12-21T00:00:00",
-          "2005-12-22T00:00:00",
-          "2005-12-23T00:00:00",
-          "2005-12-24T00:00:00",
-          "2005-12-25T00:00:00",
-          "2005-12-26T00:00:00",
-          "2005-12-27T00:00:00",
-          "2005-12-28T00:00:00",
-          "2005-12-29T00:00:00",
-          "2005-12-30T00:00:00",
-          "2005-12-31T00:00:00",
-          "2006-01-01T00:00:00",
-          "2006-01-02T00:00:00",
-          "2006-01-03T00:00:00",
-          "2006-01-04T00:00:00",
-          "2006-01-05T00:00:00",
-          "2006-01-06T00:00:00",
-          "2006-01-07T00:00:00",
-          "2006-01-08T00:00:00",
-          "2006-01-09T00:00:00",
-          "2006-01-10T00:00:00",
-          "2006-01-11T00:00:00",
-          "2006-01-12T00:00:00",
-          "2006-01-13T00:00:00",
-          "2006-01-14T00:00:00",
-          "2006-01-15T00:00:00",
-          "2006-01-16T00:00:00",
-          "2006-01-17T00:00:00",
-          "2006-01-18T00:00:00",
-          "2006-01-19T00:00:00",
-          "2006-01-20T00:00:00",
-          "2006-01-21T00:00:00",
-          "2006-01-22T00:00:00",
-          "2006-01-23T00:00:00",
-          "2006-01-24T00:00:00",
-          "2006-01-25T00:00:00",
-          "2006-01-26T00:00:00",
-          "2006-01-27T00:00:00",
-          "2006-01-28T00:00:00",
-          "2006-01-29T00:00:00",
-          "2006-01-30T00:00:00",
-          "2006-01-31T00:00:00",
-          "2006-02-01T00:00:00",
-          "2006-02-02T00:00:00",
-          "2006-02-03T00:00:00",
-          "2006-02-04T00:00:00",
-          "2006-02-05T00:00:00",
-          "2006-02-06T00:00:00",
-          "2006-02-07T00:00:00",
-          "2006-02-08T00:00:00",
-          "2006-02-09T00:00:00",
-          "2006-02-10T00:00:00",
-          "2006-02-11T00:00:00",
-          "2006-02-12T00:00:00",
-          "2006-02-13T00:00:00",
-          "2006-02-14T00:00:00",
-          "2006-02-15T00:00:00",
-          "2006-02-16T00:00:00",
-          "2006-02-17T00:00:00",
-          "2006-02-18T00:00:00",
-          "2006-02-19T00:00:00",
-          "2006-02-20T00:00:00",
-          "2006-02-21T00:00:00",
-          "2006-02-22T00:00:00",
-          "2006-02-23T00:00:00",
-          "2006-02-24T00:00:00",
-          "2006-02-25T00:00:00",
-          "2006-02-26T00:00:00",
-          "2006-02-27T00:00:00",
-          "2006-02-28T00:00:00",
-          "2006-03-01T00:00:00",
-          "2006-03-02T00:00:00",
-          "2006-03-03T00:00:00",
-          "2006-03-04T00:00:00",
-          "2006-03-05T00:00:00",
-          "2006-03-06T00:00:00",
-          "2006-03-07T00:00:00",
-          "2006-03-08T00:00:00",
-          "2006-03-09T00:00:00",
-          "2006-03-10T00:00:00",
-          "2006-03-11T00:00:00",
-          "2006-03-12T00:00:00",
-          "2006-03-13T00:00:00",
-          "2006-03-14T00:00:00",
-          "2006-03-15T00:00:00",
-          "2006-03-16T00:00:00",
-          "2006-03-17T00:00:00",
-          "2006-03-18T00:00:00",
-          "2006-03-19T00:00:00",
-          "2006-03-20T00:00:00",
-          "2006-03-21T00:00:00",
-          "2006-03-22T00:00:00",
-          "2006-03-23T00:00:00",
-          "2006-03-24T00:00:00",
-          "2006-03-25T00:00:00",
-          "2006-03-26T00:00:00",
-          "2006-03-27T00:00:00",
-          "2006-03-28T00:00:00",
-          "2006-03-29T00:00:00",
-          "2006-03-30T00:00:00",
-          "2006-03-31T00:00:00",
-          "2006-04-01T00:00:00",
-          "2006-04-02T00:00:00",
-          "2006-04-03T00:00:00",
-          "2006-04-04T00:00:00",
-          "2006-04-05T00:00:00",
-          "2006-04-06T00:00:00",
-          "2006-04-07T00:00:00",
-          "2006-04-08T00:00:00",
-          "2006-04-09T00:00:00",
-          "2006-04-10T00:00:00",
-          "2006-04-11T00:00:00",
-          "2006-04-12T00:00:00",
-          "2006-04-13T00:00:00",
-          "2006-04-14T00:00:00",
-          "2006-04-15T00:00:00",
-          "2006-04-16T00:00:00",
-          "2006-04-17T00:00:00",
-          "2006-04-18T00:00:00",
-          "2006-04-19T00:00:00",
-          "2006-04-20T00:00:00",
-          "2006-04-21T00:00:00",
-          "2006-04-22T00:00:00",
-          "2006-04-23T00:00:00",
-          "2006-04-24T00:00:00",
-          "2006-04-25T00:00:00",
-          "2006-04-26T00:00:00",
-          "2006-04-27T00:00:00",
-          "2006-04-28T00:00:00",
-          "2006-04-29T00:00:00",
-          "2006-04-30T00:00:00",
-          "2006-05-01T00:00:00",
-          "2006-05-02T00:00:00",
-          "2006-05-03T00:00:00",
-          "2006-05-04T00:00:00",
-          "2006-05-05T00:00:00",
-          "2006-05-06T00:00:00",
-          "2006-05-07T00:00:00",
-          "2006-05-08T00:00:00",
-          "2006-05-09T00:00:00",
-          "2006-05-10T00:00:00",
-          "2006-05-11T00:00:00",
-          "2006-05-12T00:00:00",
-          "2006-05-13T00:00:00",
-          "2006-05-14T00:00:00",
-          "2006-05-15T00:00:00",
-          "2006-05-16T00:00:00",
-          "2006-05-17T00:00:00",
-          "2006-05-18T00:00:00",
-          "2006-05-19T00:00:00",
-          "2006-05-20T00:00:00",
-          "2006-05-21T00:00:00",
-          "2006-05-22T00:00:00",
-          "2006-05-23T00:00:00",
-          "2006-05-24T00:00:00",
-          "2006-05-25T00:00:00",
-          "2006-05-26T00:00:00",
-          "2006-05-27T00:00:00",
-          "2006-05-28T00:00:00",
-          "2006-05-29T00:00:00",
-          "2006-05-30T00:00:00",
-          "2006-05-31T00:00:00",
-          "2006-06-01T00:00:00",
-          "2006-06-02T00:00:00",
-          "2006-06-03T00:00:00",
-          "2006-06-04T00:00:00",
-          "2006-06-05T00:00:00",
-          "2006-06-06T00:00:00",
-          "2006-06-07T00:00:00",
-          "2006-06-08T00:00:00",
-          "2006-06-09T00:00:00",
-          "2006-06-10T00:00:00",
-          "2006-06-11T00:00:00",
-          "2006-06-12T00:00:00",
-          "2006-06-13T00:00:00",
-          "2006-06-14T00:00:00",
-          "2006-06-15T00:00:00",
-          "2006-06-16T00:00:00",
-          "2006-06-17T00:00:00",
-          "2006-06-18T00:00:00",
-          "2006-06-19T00:00:00",
-          "2006-06-20T00:00:00",
-          "2006-06-21T00:00:00",
-          "2006-06-22T00:00:00",
-          "2006-06-23T00:00:00",
-          "2006-06-24T00:00:00",
-          "2006-06-25T00:00:00",
-          "2006-06-26T00:00:00",
-          "2006-06-27T00:00:00",
-          "2006-06-28T00:00:00",
-          "2006-06-29T00:00:00",
-          "2006-06-30T00:00:00",
-          "2006-07-01T00:00:00",
-          "2006-07-02T00:00:00",
-          "2006-07-03T00:00:00",
-          "2006-07-04T00:00:00",
-          "2006-07-05T00:00:00",
-          "2006-07-06T00:00:00",
-          "2006-07-07T00:00:00",
-          "2006-07-08T00:00:00",
-          "2006-07-09T00:00:00",
-          "2006-07-10T00:00:00",
-          "2006-07-11T00:00:00",
-          "2006-07-12T00:00:00",
-          "2006-07-13T00:00:00",
-          "2006-07-14T00:00:00",
-          "2006-07-15T00:00:00",
-          "2006-07-16T00:00:00",
-          "2006-07-17T00:00:00",
-          "2006-07-18T00:00:00",
-          "2006-07-19T00:00:00",
-          "2006-07-20T00:00:00",
-          "2006-07-21T00:00:00",
-          "2006-07-22T00:00:00",
-          "2006-07-23T00:00:00",
-          "2006-07-24T00:00:00",
-          "2006-07-25T00:00:00",
-          "2006-07-26T00:00:00",
-          "2006-07-27T00:00:00",
-          "2006-07-28T00:00:00",
-          "2006-07-29T00:00:00",
-          "2006-07-30T00:00:00",
-          "2006-07-31T00:00:00",
-          "2006-08-01T00:00:00",
-          "2006-08-02T00:00:00",
-          "2006-08-03T00:00:00",
-          "2006-08-04T00:00:00",
-          "2006-08-05T00:00:00",
-          "2006-08-06T00:00:00",
-          "2006-08-07T00:00:00",
-          "2006-08-08T00:00:00",
-          "2006-08-09T00:00:00",
-          "2006-08-10T00:00:00",
-          "2006-08-11T00:00:00",
-          "2006-08-12T00:00:00",
-          "2006-08-13T00:00:00",
-          "2006-08-14T00:00:00",
-          "2006-08-15T00:00:00",
-          "2006-08-16T00:00:00",
-          "2006-08-17T00:00:00",
-          "2006-08-18T00:00:00",
-          "2006-08-19T00:00:00",
-          "2006-08-20T00:00:00",
-          "2006-08-21T00:00:00",
-          "2006-08-22T00:00:00",
-          "2006-08-23T00:00:00",
-          "2006-08-24T00:00:00",
-          "2006-08-25T00:00:00",
-          "2006-08-26T00:00:00",
-          "2006-08-27T00:00:00",
-          "2006-08-28T00:00:00",
-          "2006-08-29T00:00:00",
-          "2006-08-30T00:00:00",
-          "2006-08-31T00:00:00",
-          "2006-09-01T00:00:00",
-          "2006-09-02T00:00:00",
-          "2006-09-03T00:00:00",
-          "2006-09-04T00:00:00",
-          "2006-09-05T00:00:00",
-          "2006-09-06T00:00:00",
-          "2006-09-07T00:00:00",
-          "2006-09-08T00:00:00",
-          "2006-09-09T00:00:00",
-          "2006-09-10T00:00:00",
-          "2006-09-11T00:00:00",
-          "2006-09-12T00:00:00",
-          "2006-09-13T00:00:00",
-          "2006-09-14T00:00:00",
-          "2006-09-15T00:00:00",
-          "2006-09-16T00:00:00",
-          "2006-09-17T00:00:00",
-          "2006-09-18T00:00:00",
-          "2006-09-19T00:00:00",
-          "2006-09-20T00:00:00",
-          "2006-09-21T00:00:00",
-          "2006-09-22T00:00:00",
-          "2006-09-23T00:00:00",
-          "2006-09-24T00:00:00",
-          "2006-09-25T00:00:00",
-          "2006-09-26T00:00:00",
-          "2006-09-27T00:00:00",
-          "2006-09-28T00:00:00",
-          "2006-09-29T00:00:00",
-          "2006-09-30T00:00:00",
-          "2006-10-01T00:00:00",
-          "2006-10-02T00:00:00",
-          "2006-10-03T00:00:00",
-          "2006-10-04T00:00:00",
-          "2006-10-05T00:00:00",
-          "2006-10-06T00:00:00",
-          "2006-10-07T00:00:00",
-          "2006-10-08T00:00:00",
-          "2006-10-09T00:00:00",
-          "2006-10-10T00:00:00",
-          "2006-10-11T00:00:00",
-          "2006-10-12T00:00:00",
-          "2006-10-13T00:00:00",
-          "2006-10-14T00:00:00",
-          "2006-10-15T00:00:00",
-          "2006-10-16T00:00:00",
-          "2006-10-17T00:00:00",
-          "2006-10-18T00:00:00",
-          "2006-10-19T00:00:00",
-          "2006-10-20T00:00:00",
-          "2006-10-21T00:00:00",
-          "2006-10-22T00:00:00",
-          "2006-10-23T00:00:00",
-          "2006-10-24T00:00:00",
-          "2006-10-25T00:00:00",
-          "2006-10-26T00:00:00",
-          "2006-10-27T00:00:00",
-          "2006-10-28T00:00:00",
-          "2006-10-29T00:00:00",
-          "2006-10-30T00:00:00",
-          "2006-10-31T00:00:00",
-          "2006-11-01T00:00:00",
-          "2006-11-02T00:00:00",
-          "2006-11-03T00:00:00",
-          "2006-11-04T00:00:00",
-          "2006-11-05T00:00:00",
-          "2006-11-06T00:00:00",
-          "2006-11-07T00:00:00",
-          "2006-11-08T00:00:00",
-          "2006-11-09T00:00:00",
-          "2006-11-10T00:00:00",
-          "2006-11-11T00:00:00",
-          "2006-11-12T00:00:00",
-          "2006-11-13T00:00:00",
-          "2006-11-14T00:00:00",
-          "2006-11-15T00:00:00",
-          "2006-11-16T00:00:00",
-          "2006-11-17T00:00:00",
-          "2006-11-18T00:00:00",
-          "2006-11-19T00:00:00",
-          "2006-11-20T00:00:00",
-          "2006-11-21T00:00:00",
-          "2006-11-22T00:00:00",
-          "2006-11-23T00:00:00",
-          "2006-11-24T00:00:00",
-          "2006-11-25T00:00:00",
-          "2006-11-26T00:00:00",
-          "2006-11-27T00:00:00",
-          "2006-11-28T00:00:00",
-          "2006-11-29T00:00:00",
-          "2006-11-30T00:00:00",
-          "2006-12-01T00:00:00",
-          "2006-12-02T00:00:00",
-          "2006-12-03T00:00:00",
-          "2006-12-04T00:00:00",
-          "2006-12-05T00:00:00",
-          "2006-12-06T00:00:00",
-          "2006-12-07T00:00:00",
-          "2006-12-08T00:00:00",
-          "2006-12-09T00:00:00",
-          "2006-12-10T00:00:00",
-          "2006-12-11T00:00:00",
-          "2006-12-12T00:00:00",
-          "2006-12-13T00:00:00",
-          "2006-12-14T00:00:00",
-          "2006-12-15T00:00:00",
-          "2006-12-16T00:00:00",
-          "2006-12-17T00:00:00",
-          "2006-12-18T00:00:00",
-          "2006-12-19T00:00:00",
-          "2006-12-20T00:00:00",
-          "2006-12-21T00:00:00",
-          "2006-12-22T00:00:00",
-          "2006-12-23T00:00:00",
-          "2006-12-24T00:00:00",
-          "2006-12-25T00:00:00",
-          "2006-12-26T00:00:00",
-          "2006-12-27T00:00:00",
-          "2006-12-28T00:00:00",
-          "2006-12-29T00:00:00",
-          "2006-12-30T00:00:00",
-          "2006-12-31T00:00:00",
-          "2007-01-01T00:00:00",
-          "2007-01-02T00:00:00",
-          "2007-01-03T00:00:00",
-          "2007-01-04T00:00:00",
-          "2007-01-05T00:00:00",
-          "2007-01-06T00:00:00",
-          "2007-01-07T00:00:00",
-          "2007-01-08T00:00:00",
-          "2007-01-09T00:00:00",
-          "2007-01-10T00:00:00",
-          "2007-01-11T00:00:00",
-          "2007-01-12T00:00:00",
-          "2007-01-13T00:00:00",
-          "2007-01-14T00:00:00",
-          "2007-01-15T00:00:00",
-          "2007-01-16T00:00:00",
-          "2007-01-17T00:00:00",
-          "2007-01-18T00:00:00",
-          "2007-01-19T00:00:00",
-          "2007-01-20T00:00:00",
-          "2007-01-21T00:00:00",
-          "2007-01-22T00:00:00",
-          "2007-01-23T00:00:00",
-          "2007-01-24T00:00:00",
-          "2007-01-25T00:00:00",
-          "2007-01-26T00:00:00",
-          "2007-01-27T00:00:00",
-          "2007-01-28T00:00:00",
-          "2007-01-29T00:00:00",
-          "2007-01-30T00:00:00",
-          "2007-01-31T00:00:00",
-          "2007-02-01T00:00:00",
-          "2007-02-02T00:00:00",
-          "2007-02-03T00:00:00",
-          "2007-02-04T00:00:00",
-          "2007-02-05T00:00:00",
-          "2007-02-06T00:00:00",
-          "2007-02-07T00:00:00",
-          "2007-02-08T00:00:00",
-          "2007-02-09T00:00:00",
-          "2007-02-10T00:00:00",
-          "2007-02-11T00:00:00",
-          "2007-02-12T00:00:00",
-          "2007-02-13T00:00:00",
-          "2007-02-14T00:00:00",
-          "2007-02-15T00:00:00",
-          "2007-02-16T00:00:00",
-          "2007-02-17T00:00:00",
-          "2007-02-18T00:00:00",
-          "2007-02-19T00:00:00",
-          "2007-02-20T00:00:00",
-          "2007-02-21T00:00:00",
-          "2007-02-22T00:00:00",
-          "2007-02-23T00:00:00",
-          "2007-02-24T00:00:00",
-          "2007-02-25T00:00:00",
-          "2007-02-26T00:00:00",
-          "2007-02-27T00:00:00",
-          "2007-02-28T00:00:00",
-          "2007-03-01T00:00:00",
-          "2007-03-02T00:00:00",
-          "2007-03-03T00:00:00",
-          "2007-03-04T00:00:00",
-          "2007-03-05T00:00:00",
-          "2007-03-06T00:00:00",
-          "2007-03-07T00:00:00",
-          "2007-03-08T00:00:00",
-          "2007-03-09T00:00:00",
-          "2007-03-10T00:00:00",
-          "2007-03-11T00:00:00",
-          "2007-03-12T00:00:00",
-          "2007-03-13T00:00:00",
-          "2007-03-14T00:00:00",
-          "2007-03-15T00:00:00",
-          "2007-03-16T00:00:00",
-          "2007-03-17T00:00:00",
-          "2007-03-18T00:00:00",
-          "2007-03-19T00:00:00",
-          "2007-03-20T00:00:00",
-          "2007-03-21T00:00:00",
-          "2007-03-22T00:00:00",
-          "2007-03-23T00:00:00",
-          "2007-03-24T00:00:00",
-          "2007-03-25T00:00:00",
-          "2007-03-26T00:00:00",
-          "2007-03-27T00:00:00",
-          "2007-03-28T00:00:00",
-          "2007-03-29T00:00:00",
-          "2007-03-30T00:00:00",
-          "2007-03-31T00:00:00",
-          "2007-04-01T00:00:00",
-          "2007-04-02T00:00:00",
-          "2007-04-03T00:00:00",
-          "2007-04-04T00:00:00",
-          "2007-04-05T00:00:00",
-          "2007-04-06T00:00:00",
-          "2007-04-07T00:00:00",
-          "2007-04-08T00:00:00",
-          "2007-04-09T00:00:00",
-          "2007-04-10T00:00:00",
-          "2007-04-11T00:00:00",
-          "2007-04-12T00:00:00",
-          "2007-04-13T00:00:00",
-          "2007-04-14T00:00:00",
-          "2007-04-15T00:00:00",
-          "2007-04-16T00:00:00",
-          "2007-04-17T00:00:00",
-          "2007-04-18T00:00:00",
-          "2007-04-19T00:00:00",
-          "2007-04-20T00:00:00",
-          "2007-04-21T00:00:00",
-          "2007-04-22T00:00:00",
-          "2007-04-23T00:00:00",
-          "2007-04-24T00:00:00",
-          "2007-04-25T00:00:00",
-          "2007-04-26T00:00:00",
-          "2007-04-27T00:00:00",
-          "2007-04-28T00:00:00",
-          "2007-04-29T00:00:00",
-          "2007-04-30T00:00:00",
-          "2007-05-01T00:00:00",
-          "2007-05-02T00:00:00",
-          "2007-05-03T00:00:00",
-          "2007-05-04T00:00:00",
-          "2007-05-05T00:00:00",
-          "2007-05-06T00:00:00",
-          "2007-05-07T00:00:00",
-          "2007-05-08T00:00:00",
-          "2007-05-09T00:00:00",
-          "2007-05-10T00:00:00",
-          "2007-05-11T00:00:00",
-          "2007-05-12T00:00:00",
-          "2007-05-13T00:00:00",
-          "2007-05-14T00:00:00",
-          "2007-05-15T00:00:00",
-          "2007-05-16T00:00:00",
-          "2007-05-17T00:00:00",
-          "2007-05-18T00:00:00",
-          "2007-05-19T00:00:00",
-          "2007-05-20T00:00:00",
-          "2007-05-21T00:00:00",
-          "2007-05-22T00:00:00",
-          "2007-05-23T00:00:00",
-          "2007-05-24T00:00:00",
-          "2007-05-25T00:00:00",
-          "2007-05-26T00:00:00",
-          "2007-05-27T00:00:00",
-          "2007-05-28T00:00:00",
-          "2007-05-29T00:00:00",
-          "2007-05-30T00:00:00",
-          "2007-05-31T00:00:00",
-          "2007-06-01T00:00:00",
-          "2007-06-02T00:00:00",
-          "2007-06-03T00:00:00",
-          "2007-06-04T00:00:00",
-          "2007-06-05T00:00:00",
-          "2007-06-06T00:00:00",
-          "2007-06-07T00:00:00",
-          "2007-06-08T00:00:00",
-          "2007-06-09T00:00:00",
-          "2007-06-10T00:00:00",
-          "2007-06-11T00:00:00",
-          "2007-06-12T00:00:00",
-          "2007-06-13T00:00:00",
-          "2007-06-14T00:00:00",
-          "2007-06-15T00:00:00",
-          "2007-06-16T00:00:00",
-          "2007-06-17T00:00:00",
-          "2007-06-18T00:00:00",
-          "2007-06-19T00:00:00",
-          "2007-06-20T00:00:00",
-          "2007-06-21T00:00:00",
-          "2007-06-22T00:00:00",
-          "2007-06-23T00:00:00",
-          "2007-06-24T00:00:00",
-          "2007-06-25T00:00:00",
-          "2007-06-26T00:00:00",
-          "2007-06-27T00:00:00",
-          "2007-06-28T00:00:00",
-          "2007-06-29T00:00:00",
-          "2007-06-30T00:00:00",
-          "2007-07-01T00:00:00",
-          "2007-07-02T00:00:00",
-          "2007-07-03T00:00:00",
-          "2007-07-04T00:00:00",
-          "2007-07-05T00:00:00",
-          "2007-07-06T00:00:00",
-          "2007-07-07T00:00:00",
-          "2007-07-08T00:00:00",
-          "2007-07-09T00:00:00",
-          "2007-07-10T00:00:00",
-          "2007-07-11T00:00:00",
-          "2007-07-12T00:00:00",
-          "2007-07-13T00:00:00",
-          "2007-07-14T00:00:00",
-          "2007-07-15T00:00:00",
-          "2007-07-16T00:00:00",
-          "2007-07-17T00:00:00",
-          "2007-07-18T00:00:00",
-          "2007-07-19T00:00:00",
-          "2007-07-20T00:00:00",
-          "2007-07-21T00:00:00",
-          "2007-07-22T00:00:00",
-          "2007-07-23T00:00:00",
-          "2007-07-24T00:00:00",
-          "2007-07-25T00:00:00",
-          "2007-07-26T00:00:00",
-          "2007-07-27T00:00:00",
-          "2007-07-28T00:00:00",
-          "2007-07-29T00:00:00",
-          "2007-07-30T00:00:00",
-          "2007-07-31T00:00:00",
-          "2007-08-01T00:00:00",
-          "2007-08-02T00:00:00",
-          "2007-08-03T00:00:00",
-          "2007-08-04T00:00:00",
-          "2007-08-05T00:00:00",
-          "2007-08-06T00:00:00",
-          "2007-08-07T00:00:00",
-          "2007-08-08T00:00:00",
-          "2007-08-09T00:00:00",
-          "2007-08-10T00:00:00",
-          "2007-08-11T00:00:00",
-          "2007-08-12T00:00:00",
-          "2007-08-13T00:00:00",
-          "2007-08-14T00:00:00",
-          "2007-08-15T00:00:00",
-          "2007-08-16T00:00:00",
-          "2007-08-17T00:00:00",
-          "2007-08-18T00:00:00",
-          "2007-08-19T00:00:00",
-          "2007-08-20T00:00:00",
-          "2007-08-21T00:00:00",
-          "2007-08-22T00:00:00",
-          "2007-08-23T00:00:00",
-          "2007-08-24T00:00:00",
-          "2007-08-25T00:00:00",
-          "2007-08-26T00:00:00",
-          "2007-08-27T00:00:00",
-          "2007-08-28T00:00:00",
-          "2007-08-29T00:00:00",
-          "2007-08-30T00:00:00",
-          "2007-08-31T00:00:00",
-          "2007-09-01T00:00:00",
-          "2007-09-02T00:00:00",
-          "2007-09-03T00:00:00",
-          "2007-09-04T00:00:00",
-          "2007-09-05T00:00:00",
-          "2007-09-06T00:00:00",
-          "2007-09-07T00:00:00",
-          "2007-09-08T00:00:00",
-          "2007-09-09T00:00:00",
-          "2007-09-10T00:00:00",
-          "2007-09-11T00:00:00",
-          "2007-09-12T00:00:00",
-          "2007-09-13T00:00:00",
-          "2007-09-14T00:00:00",
-          "2007-09-15T00:00:00",
-          "2007-09-16T00:00:00",
-          "2007-09-17T00:00:00",
-          "2007-09-18T00:00:00",
-          "2007-09-19T00:00:00",
-          "2007-09-20T00:00:00",
-          "2007-09-21T00:00:00",
-          "2007-09-22T00:00:00",
-          "2007-09-23T00:00:00",
-          "2007-09-24T00:00:00",
-          "2007-09-25T00:00:00",
-          "2007-09-26T00:00:00",
-          "2007-09-27T00:00:00",
-          "2007-09-28T00:00:00",
-          "2007-09-29T00:00:00",
-          "2007-09-30T00:00:00",
-          "2007-10-01T00:00:00",
-          "2007-10-02T00:00:00",
-          "2007-10-03T00:00:00",
-          "2007-10-04T00:00:00",
-          "2007-10-05T00:00:00",
-          "2007-10-06T00:00:00",
-          "2007-10-07T00:00:00",
-          "2007-10-08T00:00:00",
-          "2007-10-09T00:00:00",
-          "2007-10-10T00:00:00",
-          "2007-10-11T00:00:00",
-          "2007-10-12T00:00:00",
-          "2007-10-13T00:00:00",
-          "2007-10-14T00:00:00",
-          "2007-10-15T00:00:00",
-          "2007-10-16T00:00:00",
-          "2007-10-17T00:00:00",
-          "2007-10-18T00:00:00",
-          "2007-10-19T00:00:00",
-          "2007-10-20T00:00:00",
-          "2007-10-21T00:00:00",
-          "2007-10-22T00:00:00",
-          "2007-10-23T00:00:00",
-          "2007-10-24T00:00:00",
-          "2007-10-25T00:00:00",
-          "2007-10-26T00:00:00",
-          "2007-10-27T00:00:00",
-          "2007-10-28T00:00:00",
-          "2007-10-29T00:00:00",
-          "2007-10-30T00:00:00",
-          "2007-10-31T00:00:00",
-          "2007-11-01T00:00:00",
-          "2007-11-02T00:00:00",
-          "2007-11-03T00:00:00",
-          "2007-11-04T00:00:00",
-          "2007-11-05T00:00:00",
-          "2007-11-06T00:00:00",
-          "2007-11-07T00:00:00",
-          "2007-11-08T00:00:00",
-          "2007-11-09T00:00:00",
-          "2007-11-10T00:00:00",
-          "2007-11-11T00:00:00",
-          "2007-11-12T00:00:00",
-          "2007-11-13T00:00:00",
-          "2007-11-14T00:00:00",
-          "2007-11-15T00:00:00",
-          "2007-11-16T00:00:00",
-          "2007-11-17T00:00:00",
-          "2007-11-18T00:00:00",
-          "2007-11-19T00:00:00",
-          "2007-11-20T00:00:00",
-          "2007-11-21T00:00:00",
-          "2007-11-22T00:00:00",
-          "2007-11-23T00:00:00",
-          "2007-11-24T00:00:00",
-          "2007-11-25T00:00:00",
-          "2007-11-26T00:00:00",
-          "2007-11-27T00:00:00",
-          "2007-11-28T00:00:00",
-          "2007-11-29T00:00:00",
-          "2007-11-30T00:00:00",
-          "2007-12-01T00:00:00",
-          "2007-12-02T00:00:00",
-          "2007-12-03T00:00:00",
-          "2007-12-04T00:00:00",
-          "2007-12-05T00:00:00",
-          "2007-12-06T00:00:00",
-          "2007-12-07T00:00:00",
-          "2007-12-08T00:00:00",
-          "2007-12-09T00:00:00",
-          "2007-12-10T00:00:00",
-          "2007-12-11T00:00:00",
-          "2007-12-12T00:00:00",
-          "2007-12-13T00:00:00",
-          "2007-12-14T00:00:00",
-          "2007-12-15T00:00:00",
-          "2007-12-16T00:00:00",
-          "2007-12-17T00:00:00",
-          "2007-12-18T00:00:00",
-          "2007-12-19T00:00:00",
-          "2007-12-20T00:00:00",
-          "2007-12-21T00:00:00",
-          "2007-12-22T00:00:00",
-          "2007-12-23T00:00:00",
-          "2007-12-24T00:00:00",
-          "2007-12-25T00:00:00",
-          "2007-12-26T00:00:00",
-          "2007-12-27T00:00:00",
-          "2007-12-28T00:00:00",
-          "2007-12-29T00:00:00",
-          "2007-12-30T00:00:00",
-          "2007-12-31T00:00:00",
-          "2008-01-01T00:00:00",
-          "2008-01-02T00:00:00",
-          "2008-01-03T00:00:00",
-          "2008-01-04T00:00:00",
-          "2008-01-05T00:00:00",
-          "2008-01-06T00:00:00",
-          "2008-01-07T00:00:00",
-          "2008-01-08T00:00:00",
-          "2008-01-09T00:00:00",
-          "2008-01-10T00:00:00",
-          "2008-01-11T00:00:00",
-          "2008-01-12T00:00:00",
-          "2008-01-13T00:00:00",
-          "2008-01-14T00:00:00",
-          "2008-01-15T00:00:00",
-          "2008-01-16T00:00:00",
-          "2008-01-17T00:00:00",
-          "2008-01-18T00:00:00",
-          "2008-01-19T00:00:00",
-          "2008-01-20T00:00:00",
-          "2008-01-21T00:00:00",
-          "2008-01-22T00:00:00",
-          "2008-01-23T00:00:00",
-          "2008-01-24T00:00:00",
-          "2008-01-25T00:00:00",
-          "2008-01-26T00:00:00",
-          "2008-01-27T00:00:00",
-          "2008-01-28T00:00:00",
-          "2008-01-29T00:00:00",
-          "2008-01-30T00:00:00",
-          "2008-01-31T00:00:00",
-          "2008-02-01T00:00:00",
-          "2008-02-02T00:00:00",
-          "2008-02-03T00:00:00",
-          "2008-02-04T00:00:00",
-          "2008-02-05T00:00:00",
-          "2008-02-06T00:00:00",
-          "2008-02-07T00:00:00",
-          "2008-02-08T00:00:00",
-          "2008-02-09T00:00:00",
-          "2008-02-10T00:00:00",
-          "2008-02-11T00:00:00",
-          "2008-02-12T00:00:00",
-          "2008-02-13T00:00:00",
-          "2008-02-14T00:00:00",
-          "2008-02-15T00:00:00",
-          "2008-02-16T00:00:00",
-          "2008-02-17T00:00:00",
-          "2008-02-18T00:00:00",
-          "2008-02-19T00:00:00",
-          "2008-02-20T00:00:00",
-          "2008-02-21T00:00:00",
-          "2008-02-22T00:00:00",
-          "2008-02-23T00:00:00",
-          "2008-02-24T00:00:00",
-          "2008-02-25T00:00:00",
-          "2008-02-26T00:00:00",
-          "2008-02-27T00:00:00",
-          "2008-02-28T00:00:00",
-          "2008-02-29T00:00:00",
-          "2008-03-01T00:00:00",
-          "2008-03-02T00:00:00",
-          "2008-03-03T00:00:00",
-          "2008-03-04T00:00:00",
-          "2008-03-05T00:00:00",
-          "2008-03-06T00:00:00",
-          "2008-03-07T00:00:00",
-          "2008-03-08T00:00:00",
-          "2008-03-09T00:00:00",
-          "2008-03-10T00:00:00",
-          "2008-03-11T00:00:00",
-          "2008-03-12T00:00:00",
-          "2008-03-13T00:00:00",
-          "2008-03-14T00:00:00",
-          "2008-03-15T00:00:00",
-          "2008-03-16T00:00:00",
-          "2008-03-17T00:00:00",
-          "2008-03-18T00:00:00",
-          "2008-03-19T00:00:00",
-          "2008-03-20T00:00:00",
-          "2008-03-21T00:00:00",
-          "2008-03-22T00:00:00",
-          "2008-03-23T00:00:00",
-          "2008-03-24T00:00:00",
-          "2008-03-25T00:00:00",
-          "2008-03-26T00:00:00",
-          "2008-03-27T00:00:00",
-          "2008-03-28T00:00:00",
-          "2008-03-29T00:00:00",
-          "2008-03-30T00:00:00",
-          "2008-03-31T00:00:00",
-          "2008-04-01T00:00:00",
-          "2008-04-02T00:00:00",
-          "2008-04-03T00:00:00",
-          "2008-04-04T00:00:00",
-          "2008-04-05T00:00:00",
-          "2008-04-06T00:00:00",
-          "2008-04-07T00:00:00",
-          "2008-04-08T00:00:00",
-          "2008-04-09T00:00:00",
-          "2008-04-10T00:00:00",
-          "2008-04-11T00:00:00",
-          "2008-04-12T00:00:00",
-          "2008-04-13T00:00:00",
-          "2008-04-14T00:00:00",
-          "2008-04-15T00:00:00",
-          "2008-04-16T00:00:00",
-          "2008-04-17T00:00:00",
-          "2008-04-18T00:00:00",
-          "2008-04-19T00:00:00",
-          "2008-04-20T00:00:00",
-          "2008-04-21T00:00:00",
-          "2008-04-22T00:00:00",
-          "2008-04-23T00:00:00",
-          "2008-04-24T00:00:00",
-          "2008-04-25T00:00:00",
-          "2008-04-26T00:00:00",
-          "2008-04-27T00:00:00",
-          "2008-04-28T00:00:00",
-          "2008-04-29T00:00:00",
-          "2008-04-30T00:00:00",
-          "2008-05-01T00:00:00",
-          "2008-05-02T00:00:00",
-          "2008-05-03T00:00:00",
-          "2008-05-04T00:00:00",
-          "2008-05-05T00:00:00",
-          "2008-05-06T00:00:00",
-          "2008-05-07T00:00:00",
-          "2008-05-08T00:00:00",
-          "2008-05-09T00:00:00",
-          "2008-05-10T00:00:00",
-          "2008-05-11T00:00:00",
-          "2008-05-12T00:00:00",
-          "2008-05-13T00:00:00",
-          "2008-05-14T00:00:00",
-          "2008-05-15T00:00:00",
-          "2008-05-16T00:00:00",
-          "2008-05-17T00:00:00",
-          "2008-05-18T00:00:00",
-          "2008-05-19T00:00:00",
-          "2008-05-20T00:00:00",
-          "2008-05-21T00:00:00",
-          "2008-05-22T00:00:00",
-          "2008-05-23T00:00:00",
-          "2008-05-24T00:00:00",
-          "2008-05-25T00:00:00",
-          "2008-05-26T00:00:00",
-          "2008-05-27T00:00:00",
-          "2008-05-28T00:00:00",
-          "2008-05-29T00:00:00",
-          "2008-05-30T00:00:00",
-          "2008-05-31T00:00:00",
-          "2008-06-01T00:00:00",
-          "2008-06-02T00:00:00",
-          "2008-06-03T00:00:00",
-          "2008-06-04T00:00:00",
-          "2008-06-05T00:00:00",
-          "2008-06-06T00:00:00",
-          "2008-06-07T00:00:00",
-          "2008-06-08T00:00:00",
-          "2008-06-09T00:00:00",
-          "2008-06-10T00:00:00",
-          "2008-06-11T00:00:00",
-          "2008-06-12T00:00:00",
-          "2008-06-13T00:00:00",
-          "2008-06-14T00:00:00",
-          "2008-06-15T00:00:00",
-          "2008-06-16T00:00:00",
-          "2008-06-17T00:00:00",
-          "2008-06-18T00:00:00",
-          "2008-06-19T00:00:00",
-          "2008-06-20T00:00:00",
-          "2008-06-21T00:00:00",
-          "2008-06-22T00:00:00",
-          "2008-06-23T00:00:00",
-          "2008-06-24T00:00:00",
-          "2008-06-25T00:00:00",
-          "2008-06-26T00:00:00",
-          "2008-06-27T00:00:00",
-          "2008-06-28T00:00:00",
-          "2008-06-29T00:00:00",
-          "2008-06-30T00:00:00",
-          "2008-07-01T00:00:00",
-          "2008-07-02T00:00:00",
-          "2008-07-03T00:00:00",
-          "2008-07-04T00:00:00",
-          "2008-07-05T00:00:00",
-          "2008-07-06T00:00:00",
-          "2008-07-07T00:00:00",
-          "2008-07-08T00:00:00",
-          "2008-07-09T00:00:00",
-          "2008-07-10T00:00:00",
-          "2008-07-11T00:00:00",
-          "2008-07-12T00:00:00",
-          "2008-07-13T00:00:00",
-          "2008-07-14T00:00:00",
-          "2008-07-15T00:00:00",
-          "2008-07-16T00:00:00",
-          "2008-07-17T00:00:00",
-          "2008-07-18T00:00:00",
-          "2008-07-19T00:00:00",
-          "2008-07-20T00:00:00",
-          "2008-07-21T00:00:00",
-          "2008-07-22T00:00:00",
-          "2008-07-23T00:00:00",
-          "2008-07-24T00:00:00",
-          "2008-07-25T00:00:00",
-          "2008-07-26T00:00:00",
-          "2008-07-27T00:00:00",
-          "2008-07-28T00:00:00",
-          "2008-07-29T00:00:00",
-          "2008-07-30T00:00:00",
-          "2008-07-31T00:00:00",
-          "2008-08-01T00:00:00",
-          "2008-08-02T00:00:00",
-          "2008-08-03T00:00:00",
-          "2008-08-04T00:00:00",
-          "2008-08-05T00:00:00",
-          "2008-08-06T00:00:00",
-          "2008-08-07T00:00:00",
-          "2008-08-08T00:00:00",
-          "2008-08-09T00:00:00",
-          "2008-08-10T00:00:00",
-          "2008-08-11T00:00:00",
-          "2008-08-12T00:00:00",
-          "2008-08-13T00:00:00",
-          "2008-08-14T00:00:00",
-          "2008-08-15T00:00:00",
-          "2008-08-16T00:00:00",
-          "2008-08-17T00:00:00",
-          "2008-08-18T00:00:00",
-          "2008-08-19T00:00:00",
-          "2008-08-20T00:00:00",
-          "2008-08-21T00:00:00",
-          "2008-08-22T00:00:00",
-          "2008-08-23T00:00:00",
-          "2008-08-24T00:00:00",
-          "2008-08-25T00:00:00",
-          "2008-08-26T00:00:00",
-          "2008-08-27T00:00:00",
-          "2008-08-28T00:00:00",
-          "2008-08-29T00:00:00",
-          "2008-08-30T00:00:00",
-          "2008-08-31T00:00:00",
-          "2008-09-01T00:00:00",
-          "2008-09-02T00:00:00",
-          "2008-09-03T00:00:00",
-          "2008-09-04T00:00:00",
-          "2008-09-05T00:00:00",
-          "2008-09-06T00:00:00",
-          "2008-09-07T00:00:00",
-          "2008-09-08T00:00:00",
-          "2008-09-09T00:00:00",
-          "2008-09-10T00:00:00",
-          "2008-09-11T00:00:00",
-          "2008-09-12T00:00:00",
-          "2008-09-13T00:00:00",
-          "2008-09-14T00:00:00",
-          "2008-09-15T00:00:00",
-          "2008-09-16T00:00:00",
-          "2008-09-17T00:00:00",
-          "2008-09-18T00:00:00",
-          "2008-09-19T00:00:00",
-          "2008-09-20T00:00:00",
-          "2008-09-21T00:00:00",
-          "2008-09-22T00:00:00",
-          "2008-09-23T00:00:00",
-          "2008-09-24T00:00:00",
-          "2008-09-25T00:00:00",
-          "2008-09-26T00:00:00",
-          "2008-09-27T00:00:00",
-          "2008-09-28T00:00:00",
-          "2008-09-29T00:00:00",
-          "2008-09-30T00:00:00",
-          "2008-10-01T00:00:00",
-          "2008-10-02T00:00:00",
-          "2008-10-03T00:00:00",
-          "2008-10-04T00:00:00",
-          "2008-10-05T00:00:00",
-          "2008-10-06T00:00:00",
-          "2008-10-07T00:00:00",
-          "2008-10-08T00:00:00",
-          "2008-10-09T00:00:00",
-          "2008-10-10T00:00:00",
-          "2008-10-11T00:00:00",
-          "2008-10-12T00:00:00",
-          "2008-10-13T00:00:00",
-          "2008-10-14T00:00:00",
-          "2008-10-15T00:00:00",
-          "2008-10-16T00:00:00",
-          "2008-10-17T00:00:00",
-          "2008-10-18T00:00:00",
-          "2008-10-19T00:00:00",
-          "2008-10-20T00:00:00",
-          "2008-10-21T00:00:00",
-          "2008-10-22T00:00:00",
-          "2008-10-23T00:00:00",
-          "2008-10-24T00:00:00",
-          "2008-10-25T00:00:00",
-          "2008-10-26T00:00:00",
-          "2008-10-27T00:00:00",
-          "2008-10-28T00:00:00",
-          "2008-10-29T00:00:00",
-          "2008-10-30T00:00:00",
-          "2008-10-31T00:00:00",
-          "2008-11-01T00:00:00",
-          "2008-11-02T00:00:00",
-          "2008-11-03T00:00:00",
-          "2008-11-04T00:00:00",
-          "2008-11-05T00:00:00",
-          "2008-11-06T00:00:00",
-          "2008-11-07T00:00:00",
-          "2008-11-08T00:00:00",
-          "2008-11-09T00:00:00",
-          "2008-11-10T00:00:00",
-          "2008-11-11T00:00:00",
-          "2008-11-12T00:00:00",
-          "2008-11-13T00:00:00",
-          "2008-11-14T00:00:00",
-          "2008-11-15T00:00:00",
-          "2008-11-16T00:00:00",
-          "2008-11-17T00:00:00",
-          "2008-11-18T00:00:00",
-          "2008-11-19T00:00:00",
-          "2008-11-20T00:00:00",
-          "2008-11-21T00:00:00",
-          "2008-11-22T00:00:00",
-          "2008-11-23T00:00:00",
-          "2008-11-24T00:00:00",
-          "2008-11-25T00:00:00",
-          "2008-11-26T00:00:00",
-          "2008-11-27T00:00:00",
-          "2008-11-28T00:00:00",
-          "2008-11-29T00:00:00",
-          "2008-11-30T00:00:00",
-          "2008-12-01T00:00:00",
-          "2008-12-02T00:00:00",
-          "2008-12-03T00:00:00",
-          "2008-12-04T00:00:00",
-          "2008-12-05T00:00:00",
-          "2008-12-06T00:00:00",
-          "2008-12-07T00:00:00",
-          "2008-12-08T00:00:00",
-          "2008-12-09T00:00:00",
-          "2008-12-10T00:00:00",
-          "2008-12-11T00:00:00",
-          "2008-12-12T00:00:00",
-          "2008-12-13T00:00:00",
-          "2008-12-14T00:00:00",
-          "2008-12-15T00:00:00",
-          "2008-12-16T00:00:00",
-          "2008-12-17T00:00:00",
-          "2008-12-18T00:00:00",
-          "2008-12-19T00:00:00",
-          "2008-12-20T00:00:00",
-          "2008-12-21T00:00:00",
-          "2008-12-22T00:00:00",
-          "2008-12-23T00:00:00",
-          "2008-12-24T00:00:00",
-          "2008-12-25T00:00:00",
-          "2008-12-26T00:00:00",
-          "2008-12-27T00:00:00",
-          "2008-12-28T00:00:00",
-          "2008-12-29T00:00:00",
-          "2008-12-30T00:00:00",
-          "2008-12-31T00:00:00",
-          "2009-01-01T00:00:00",
-          "2009-01-02T00:00:00",
-          "2009-01-03T00:00:00",
-          "2009-01-04T00:00:00",
-          "2009-01-05T00:00:00",
-          "2009-01-06T00:00:00",
-          "2009-01-07T00:00:00",
-          "2009-01-08T00:00:00",
-          "2009-01-09T00:00:00",
-          "2009-01-10T00:00:00",
-          "2009-01-11T00:00:00",
-          "2009-01-12T00:00:00",
-          "2009-01-13T00:00:00",
-          "2009-01-14T00:00:00",
-          "2009-01-15T00:00:00",
-          "2009-01-16T00:00:00",
-          "2009-01-17T00:00:00",
-          "2009-01-18T00:00:00",
-          "2009-01-19T00:00:00",
-          "2009-01-20T00:00:00",
-          "2009-01-21T00:00:00",
-          "2009-01-22T00:00:00",
-          "2009-01-23T00:00:00",
-          "2009-01-24T00:00:00",
-          "2009-01-25T00:00:00",
-          "2009-01-26T00:00:00",
-          "2009-01-27T00:00:00",
-          "2009-01-28T00:00:00",
-          "2009-01-29T00:00:00",
-          "2009-01-30T00:00:00",
-          "2009-01-31T00:00:00",
-          "2009-02-01T00:00:00",
-          "2009-02-02T00:00:00",
-          "2009-02-03T00:00:00",
-          "2009-02-04T00:00:00",
-          "2009-02-05T00:00:00",
-          "2009-02-06T00:00:00",
-          "2009-02-07T00:00:00",
-          "2009-02-08T00:00:00",
-          "2009-02-09T00:00:00",
-          "2009-02-10T00:00:00",
-          "2009-02-11T00:00:00",
-          "2009-02-12T00:00:00",
-          "2009-02-13T00:00:00",
-          "2009-02-14T00:00:00",
-          "2009-02-15T00:00:00",
-          "2009-02-16T00:00:00",
-          "2009-02-17T00:00:00",
-          "2009-02-18T00:00:00",
-          "2009-02-19T00:00:00",
-          "2009-02-20T00:00:00",
-          "2009-02-21T00:00:00",
-          "2009-02-22T00:00:00",
-          "2009-02-23T00:00:00",
-          "2009-02-24T00:00:00",
-          "2009-02-25T00:00:00",
-          "2009-02-26T00:00:00",
-          "2009-02-27T00:00:00",
-          "2009-02-28T00:00:00",
-          "2009-03-01T00:00:00",
-          "2009-03-02T00:00:00",
-          "2009-03-03T00:00:00",
-          "2009-03-04T00:00:00",
-          "2009-03-05T00:00:00",
-          "2009-03-06T00:00:00",
-          "2009-03-07T00:00:00",
-          "2009-03-08T00:00:00",
-          "2009-03-09T00:00:00",
-          "2009-03-10T00:00:00",
-          "2009-03-11T00:00:00",
-          "2009-03-12T00:00:00",
-          "2009-03-13T00:00:00",
-          "2009-03-14T00:00:00",
-          "2009-03-15T00:00:00",
-          "2009-03-16T00:00:00",
-          "2009-03-17T00:00:00",
-          "2009-03-18T00:00:00",
-          "2009-03-19T00:00:00",
-          "2009-03-20T00:00:00",
-          "2009-03-21T00:00:00",
-          "2009-03-22T00:00:00",
-          "2009-03-23T00:00:00",
-          "2009-03-24T00:00:00",
-          "2009-03-25T00:00:00",
-          "2009-03-26T00:00:00",
-          "2009-03-27T00:00:00",
-          "2009-03-28T00:00:00",
-          "2009-03-29T00:00:00",
-          "2009-03-30T00:00:00",
-          "2009-03-31T00:00:00",
-          "2009-04-01T00:00:00",
-          "2009-04-02T00:00:00",
-          "2009-04-03T00:00:00",
-          "2009-04-04T00:00:00",
-          "2009-04-05T00:00:00",
-          "2009-04-06T00:00:00",
-          "2009-04-07T00:00:00",
-          "2009-04-08T00:00:00",
-          "2009-04-09T00:00:00",
-          "2009-04-10T00:00:00",
-          "2009-04-11T00:00:00",
-          "2009-04-12T00:00:00",
-          "2009-04-13T00:00:00",
-          "2009-04-14T00:00:00",
-          "2009-04-15T00:00:00",
-          "2009-04-16T00:00:00",
-          "2009-04-17T00:00:00",
-          "2009-04-18T00:00:00",
-          "2009-04-19T00:00:00",
-          "2009-04-20T00:00:00",
-          "2009-04-21T00:00:00",
-          "2009-04-22T00:00:00",
-          "2009-04-23T00:00:00",
-          "2009-04-24T00:00:00",
-          "2009-04-25T00:00:00",
-          "2009-04-26T00:00:00",
-          "2009-04-27T00:00:00",
-          "2009-04-28T00:00:00",
-          "2009-04-29T00:00:00",
-          "2009-04-30T00:00:00",
-          "2009-05-01T00:00:00",
-          "2009-05-02T00:00:00",
-          "2009-05-03T00:00:00",
-          "2009-05-04T00:00:00",
-          "2009-05-05T00:00:00",
-          "2009-05-06T00:00:00",
-          "2009-05-07T00:00:00",
-          "2009-05-08T00:00:00",
-          "2009-05-09T00:00:00",
-          "2009-05-10T00:00:00",
-          "2009-05-11T00:00:00",
-          "2009-05-12T00:00:00",
-          "2009-05-13T00:00:00",
-          "2009-05-14T00:00:00",
-          "2009-05-15T00:00:00",
-          "2009-05-16T00:00:00",
-          "2009-05-17T00:00:00",
-          "2009-05-18T00:00:00",
-          "2009-05-19T00:00:00",
-          "2009-05-20T00:00:00",
-          "2009-05-21T00:00:00",
-          "2009-05-22T00:00:00",
-          "2009-05-23T00:00:00",
-          "2009-05-24T00:00:00",
-          "2009-05-25T00:00:00",
-          "2009-05-26T00:00:00",
-          "2009-05-27T00:00:00",
-          "2009-05-28T00:00:00",
-          "2009-05-29T00:00:00",
-          "2009-05-30T00:00:00",
-          "2009-05-31T00:00:00",
-          "2009-06-01T00:00:00",
-          "2009-06-02T00:00:00",
-          "2009-06-03T00:00:00",
-          "2009-06-04T00:00:00",
-          "2009-06-05T00:00:00",
-          "2009-06-06T00:00:00",
-          "2009-06-07T00:00:00",
-          "2009-06-08T00:00:00",
-          "2009-06-09T00:00:00",
-          "2009-06-10T00:00:00",
-          "2009-06-11T00:00:00",
-          "2009-06-12T00:00:00",
-          "2009-06-13T00:00:00",
-          "2009-06-14T00:00:00",
-          "2009-06-15T00:00:00",
-          "2009-06-16T00:00:00",
-          "2009-06-17T00:00:00",
-          "2009-06-18T00:00:00",
-          "2009-06-19T00:00:00",
-          "2009-06-20T00:00:00",
-          "2009-06-21T00:00:00",
-          "2009-06-22T00:00:00",
-          "2009-06-23T00:00:00",
-          "2009-06-24T00:00:00",
-          "2009-06-25T00:00:00",
-          "2009-06-26T00:00:00",
-          "2009-06-27T00:00:00",
-          "2009-06-28T00:00:00",
-          "2009-06-29T00:00:00",
-          "2009-06-30T00:00:00",
-          "2009-07-01T00:00:00",
-          "2009-07-02T00:00:00",
-          "2009-07-03T00:00:00",
-          "2009-07-04T00:00:00",
-          "2009-07-05T00:00:00",
-          "2009-07-06T00:00:00",
-          "2009-07-07T00:00:00",
-          "2009-07-08T00:00:00",
-          "2009-07-09T00:00:00",
-          "2009-07-10T00:00:00",
-          "2009-07-11T00:00:00",
-          "2009-07-12T00:00:00",
-          "2009-07-13T00:00:00",
-          "2009-07-14T00:00:00",
-          "2009-07-15T00:00:00",
-          "2009-07-16T00:00:00",
-          "2009-07-17T00:00:00",
-          "2009-07-18T00:00:00",
-          "2009-07-19T00:00:00",
-          "2009-07-20T00:00:00",
-          "2009-07-21T00:00:00",
-          "2009-07-22T00:00:00",
-          "2009-07-23T00:00:00",
-          "2009-07-24T00:00:00",
-          "2009-07-25T00:00:00",
-          "2009-07-26T00:00:00",
-          "2009-07-27T00:00:00",
-          "2009-07-28T00:00:00",
-          "2009-07-29T00:00:00",
-          "2009-07-30T00:00:00",
-          "2009-07-31T00:00:00",
-          "2009-08-01T00:00:00",
-          "2009-08-02T00:00:00",
-          "2009-08-03T00:00:00",
-          "2009-08-04T00:00:00",
-          "2009-08-05T00:00:00",
-          "2009-08-06T00:00:00",
-          "2009-08-07T00:00:00",
-          "2009-08-08T00:00:00",
-          "2009-08-09T00:00:00",
-          "2009-08-10T00:00:00",
-          "2009-08-11T00:00:00",
-          "2009-08-12T00:00:00",
-          "2009-08-13T00:00:00",
-          "2009-08-14T00:00:00",
-          "2009-08-15T00:00:00",
-          "2009-08-16T00:00:00",
-          "2009-08-17T00:00:00",
-          "2009-08-18T00:00:00",
-          "2009-08-19T00:00:00",
-          "2009-08-20T00:00:00",
-          "2009-08-21T00:00:00",
-          "2009-08-22T00:00:00",
-          "2009-08-23T00:00:00",
-          "2009-08-24T00:00:00",
-          "2009-08-25T00:00:00",
-          "2009-08-26T00:00:00",
-          "2009-08-27T00:00:00",
-          "2009-08-28T00:00:00",
-          "2009-08-29T00:00:00",
-          "2009-08-30T00:00:00",
-          "2009-08-31T00:00:00",
-          "2009-09-01T00:00:00",
-          "2009-09-02T00:00:00",
-          "2009-09-03T00:00:00",
-          "2009-09-04T00:00:00",
-          "2009-09-05T00:00:00",
-          "2009-09-06T00:00:00",
-          "2009-09-07T00:00:00",
-          "2009-09-08T00:00:00",
-          "2009-09-09T00:00:00",
-          "2009-09-10T00:00:00",
-          "2009-09-11T00:00:00",
-          "2009-09-12T00:00:00",
-          "2009-09-13T00:00:00",
-          "2009-09-14T00:00:00",
-          "2009-09-15T00:00:00",
-          "2009-09-16T00:00:00",
-          "2009-09-17T00:00:00",
-          "2009-09-18T00:00:00",
-          "2009-09-19T00:00:00",
-          "2009-09-20T00:00:00",
-          "2009-09-21T00:00:00",
-          "2009-09-22T00:00:00",
-          "2009-09-23T00:00:00",
-          "2009-09-24T00:00:00",
-          "2009-09-25T00:00:00",
-          "2009-09-26T00:00:00",
-          "2009-09-27T00:00:00",
-          "2009-09-28T00:00:00",
-          "2009-09-29T00:00:00",
-          "2009-09-30T00:00:00",
-          "2009-10-01T00:00:00",
-          "2009-10-02T00:00:00",
-          "2009-10-03T00:00:00",
-          "2009-10-04T00:00:00",
-          "2009-10-05T00:00:00",
-          "2009-10-06T00:00:00",
-          "2009-10-07T00:00:00",
-          "2009-10-08T00:00:00",
-          "2009-10-09T00:00:00",
-          "2009-10-10T00:00:00",
-          "2009-10-11T00:00:00",
-          "2009-10-12T00:00:00",
-          "2009-10-13T00:00:00",
-          "2009-10-14T00:00:00",
-          "2009-10-15T00:00:00",
-          "2009-10-16T00:00:00",
-          "2009-10-17T00:00:00",
-          "2009-10-18T00:00:00",
-          "2009-10-19T00:00:00",
-          "2009-10-20T00:00:00",
-          "2009-10-21T00:00:00",
-          "2009-10-22T00:00:00",
-          "2009-10-23T00:00:00",
-          "2009-10-24T00:00:00",
-          "2009-10-25T00:00:00",
-          "2009-10-26T00:00:00",
-          "2009-10-27T00:00:00",
-          "2009-10-28T00:00:00",
-          "2009-10-29T00:00:00",
-          "2009-10-30T00:00:00",
-          "2009-10-31T00:00:00",
-          "2009-11-01T00:00:00",
-          "2009-11-02T00:00:00",
-          "2009-11-03T00:00:00",
-          "2009-11-04T00:00:00",
-          "2009-11-05T00:00:00",
-          "2009-11-06T00:00:00",
-          "2009-11-07T00:00:00",
-          "2009-11-08T00:00:00",
-          "2009-11-09T00:00:00",
-          "2009-11-10T00:00:00",
-          "2009-11-11T00:00:00",
-          "2009-11-12T00:00:00",
-          "2009-11-13T00:00:00",
-          "2009-11-14T00:00:00",
-          "2009-11-15T00:00:00",
-          "2009-11-16T00:00:00",
-          "2009-11-17T00:00:00",
-          "2009-11-18T00:00:00",
-          "2009-11-19T00:00:00",
-          "2009-11-20T00:00:00",
-          "2009-11-21T00:00:00",
-          "2009-11-22T00:00:00",
-          "2009-11-23T00:00:00",
-          "2009-11-24T00:00:00",
-          "2009-11-25T00:00:00",
-          "2009-11-26T00:00:00",
-          "2009-11-27T00:00:00",
-          "2009-11-28T00:00:00",
-          "2009-11-29T00:00:00",
-          "2009-11-30T00:00:00",
-          "2009-12-01T00:00:00",
-          "2009-12-02T00:00:00",
-          "2009-12-03T00:00:00",
-          "2009-12-04T00:00:00",
-          "2009-12-05T00:00:00",
-          "2009-12-06T00:00:00",
-          "2009-12-07T00:00:00",
-          "2009-12-08T00:00:00",
-          "2009-12-09T00:00:00",
-          "2009-12-10T00:00:00",
-          "2009-12-11T00:00:00",
-          "2009-12-12T00:00:00",
-          "2009-12-13T00:00:00",
-          "2009-12-14T00:00:00",
-          "2009-12-15T00:00:00",
-          "2009-12-16T00:00:00",
-          "2009-12-17T00:00:00",
-          "2009-12-18T00:00:00",
-          "2009-12-19T00:00:00",
-          "2009-12-20T00:00:00",
-          "2009-12-21T00:00:00",
-          "2009-12-22T00:00:00",
-          "2009-12-23T00:00:00",
-          "2009-12-24T00:00:00",
-          "2009-12-25T00:00:00",
-          "2009-12-26T00:00:00",
-          "2009-12-27T00:00:00",
-          "2009-12-28T00:00:00",
-          "2009-12-29T00:00:00",
-          "2009-12-30T00:00:00",
-          "2009-12-31T00:00:00",
-          "2010-01-01T00:00:00",
-          "2010-01-02T00:00:00",
-          "2010-01-03T00:00:00",
-          "2010-01-04T00:00:00",
-          "2010-01-05T00:00:00",
-          "2010-01-06T00:00:00",
-          "2010-01-07T00:00:00",
-          "2010-01-08T00:00:00",
-          "2010-01-09T00:00:00",
-          "2010-01-10T00:00:00",
-          "2010-01-11T00:00:00",
-          "2010-01-12T00:00:00",
-          "2010-01-13T00:00:00",
-          "2010-01-14T00:00:00",
-          "2010-01-15T00:00:00",
-          "2010-01-16T00:00:00",
-          "2010-01-17T00:00:00",
-          "2010-01-18T00:00:00",
-          "2010-01-19T00:00:00",
-          "2010-01-20T00:00:00",
-          "2010-01-21T00:00:00",
-          "2010-01-22T00:00:00",
-          "2010-01-23T00:00:00",
-          "2010-01-24T00:00:00",
-          "2010-01-25T00:00:00",
-          "2010-01-26T00:00:00",
-          "2010-01-27T00:00:00",
-          "2010-01-28T00:00:00",
-          "2010-01-29T00:00:00",
-          "2010-01-30T00:00:00",
-          "2010-01-31T00:00:00",
-          "2010-02-01T00:00:00",
-          "2010-02-02T00:00:00",
-          "2010-02-03T00:00:00",
-          "2010-02-04T00:00:00",
-          "2010-02-05T00:00:00",
-          "2010-02-06T00:00:00",
-          "2010-02-07T00:00:00",
-          "2010-02-08T00:00:00",
-          "2010-02-09T00:00:00",
-          "2010-02-10T00:00:00",
-          "2010-02-11T00:00:00",
-          "2010-02-12T00:00:00",
-          "2010-02-13T00:00:00",
-          "2010-02-14T00:00:00",
-          "2010-02-15T00:00:00",
-          "2010-02-16T00:00:00",
-          "2010-02-17T00:00:00",
-          "2010-02-18T00:00:00",
-          "2010-02-19T00:00:00",
-          "2010-02-20T00:00:00",
-          "2010-02-21T00:00:00",
-          "2010-02-22T00:00:00",
-          "2010-02-23T00:00:00",
-          "2010-02-24T00:00:00",
-          "2010-02-25T00:00:00",
-          "2010-02-26T00:00:00",
-          "2010-02-27T00:00:00",
-          "2010-02-28T00:00:00",
-          "2010-03-01T00:00:00",
-          "2010-03-02T00:00:00",
-          "2010-03-03T00:00:00",
-          "2010-03-04T00:00:00",
-          "2010-03-05T00:00:00",
-          "2010-03-06T00:00:00",
-          "2010-03-07T00:00:00",
-          "2010-03-08T00:00:00",
-          "2010-03-09T00:00:00",
-          "2010-03-10T00:00:00",
-          "2010-03-11T00:00:00",
-          "2010-03-12T00:00:00",
-          "2010-03-13T00:00:00",
-          "2010-03-14T00:00:00",
-          "2010-03-15T00:00:00",
-          "2010-03-16T00:00:00",
-          "2010-03-17T00:00:00",
-          "2010-03-18T00:00:00",
-          "2010-03-19T00:00:00",
-          "2010-03-20T00:00:00",
-          "2010-03-21T00:00:00",
-          "2010-03-22T00:00:00",
-          "2010-03-23T00:00:00",
-          "2010-03-24T00:00:00",
-          "2010-03-25T00:00:00",
-          "2010-03-26T00:00:00",
-          "2010-03-27T00:00:00",
-          "2010-03-28T00:00:00",
-          "2010-03-29T00:00:00",
-          "2010-03-30T00:00:00",
-          "2010-03-31T00:00:00",
-          "2010-04-01T00:00:00",
-          "2010-04-02T00:00:00",
-          "2010-04-03T00:00:00",
-          "2010-04-04T00:00:00",
-          "2010-04-05T00:00:00",
-          "2010-04-06T00:00:00",
-          "2010-04-07T00:00:00",
-          "2010-04-08T00:00:00",
-          "2010-04-09T00:00:00",
-          "2010-04-10T00:00:00",
-          "2010-04-11T00:00:00",
-          "2010-04-12T00:00:00",
-          "2010-04-13T00:00:00",
-          "2010-04-14T00:00:00",
-          "2010-04-15T00:00:00",
-          "2010-04-16T00:00:00",
-          "2010-04-17T00:00:00",
-          "2010-04-18T00:00:00",
-          "2010-04-19T00:00:00",
-          "2010-04-20T00:00:00",
-          "2010-04-21T00:00:00",
-          "2010-04-22T00:00:00",
-          "2010-04-23T00:00:00",
-          "2010-04-24T00:00:00",
-          "2010-04-25T00:00:00",
-          "2010-04-26T00:00:00",
-          "2010-04-27T00:00:00",
-          "2010-04-28T00:00:00",
-          "2010-04-29T00:00:00",
-          "2010-04-30T00:00:00",
-          "2010-05-01T00:00:00",
-          "2010-05-02T00:00:00",
-          "2010-05-03T00:00:00",
-          "2010-05-04T00:00:00",
-          "2010-05-05T00:00:00",
-          "2010-05-06T00:00:00",
-          "2010-05-07T00:00:00",
-          "2010-05-08T00:00:00",
-          "2010-05-09T00:00:00",
-          "2010-05-10T00:00:00",
-          "2010-05-11T00:00:00",
-          "2010-05-12T00:00:00",
-          "2010-05-13T00:00:00",
-          "2010-05-14T00:00:00",
-          "2010-05-15T00:00:00",
-          "2010-05-16T00:00:00",
-          "2010-05-17T00:00:00",
-          "2010-05-18T00:00:00",
-          "2010-05-19T00:00:00",
-          "2010-05-20T00:00:00",
-          "2010-05-21T00:00:00",
-          "2010-05-22T00:00:00",
-          "2010-05-23T00:00:00",
-          "2010-05-24T00:00:00",
-          "2010-05-25T00:00:00",
-          "2010-05-26T00:00:00",
-          "2010-05-27T00:00:00",
-          "2010-05-28T00:00:00",
-          "2010-05-29T00:00:00",
-          "2010-05-30T00:00:00",
-          "2010-05-31T00:00:00",
-          "2010-06-01T00:00:00",
-          "2010-06-02T00:00:00",
-          "2010-06-03T00:00:00",
-          "2010-06-04T00:00:00",
-          "2010-06-05T00:00:00",
-          "2010-06-06T00:00:00",
-          "2010-06-07T00:00:00",
-          "2010-06-08T00:00:00",
-          "2010-06-09T00:00:00",
-          "2010-06-10T00:00:00",
-          "2010-06-11T00:00:00",
-          "2010-06-12T00:00:00",
-          "2010-06-13T00:00:00",
-          "2010-06-14T00:00:00",
-          "2010-06-15T00:00:00",
-          "2010-06-16T00:00:00",
-          "2010-06-17T00:00:00",
-          "2010-06-18T00:00:00",
-          "2010-06-19T00:00:00",
-          "2010-06-20T00:00:00",
-          "2010-06-21T00:00:00",
-          "2010-06-22T00:00:00",
-          "2010-06-23T00:00:00",
-          "2010-06-24T00:00:00",
-          "2010-06-25T00:00:00",
-          "2010-06-26T00:00:00",
-          "2010-06-27T00:00:00",
-          "2010-06-28T00:00:00",
-          "2010-06-29T00:00:00",
-          "2010-06-30T00:00:00",
-          "2010-07-01T00:00:00",
-          "2010-07-02T00:00:00",
-          "2010-07-03T00:00:00",
-          "2010-07-04T00:00:00",
-          "2010-07-05T00:00:00",
-          "2010-07-06T00:00:00",
-          "2010-07-07T00:00:00",
-          "2010-07-08T00:00:00",
-          "2010-07-09T00:00:00",
-          "2010-07-10T00:00:00",
-          "2010-07-11T00:00:00",
-          "2010-07-12T00:00:00",
-          "2010-07-13T00:00:00",
-          "2010-07-14T00:00:00",
-          "2010-07-15T00:00:00",
-          "2010-07-16T00:00:00",
-          "2010-07-17T00:00:00",
-          "2010-07-18T00:00:00",
-          "2010-07-19T00:00:00",
-          "2010-07-20T00:00:00",
-          "2010-07-21T00:00:00",
-          "2010-07-22T00:00:00",
-          "2010-07-23T00:00:00",
-          "2010-07-24T00:00:00",
-          "2010-07-25T00:00:00",
-          "2010-07-26T00:00:00",
-          "2010-07-27T00:00:00",
-          "2010-07-28T00:00:00",
-          "2010-07-29T00:00:00",
-          "2010-07-30T00:00:00",
-          "2010-07-31T00:00:00",
-          "2010-08-01T00:00:00",
-          "2010-08-02T00:00:00",
-          "2010-08-03T00:00:00",
-          "2010-08-04T00:00:00",
-          "2010-08-05T00:00:00",
-          "2010-08-06T00:00:00",
-          "2010-08-07T00:00:00",
-          "2010-08-08T00:00:00",
-          "2010-08-09T00:00:00",
-          "2010-08-10T00:00:00",
-          "2010-08-11T00:00:00",
-          "2010-08-12T00:00:00",
-          "2010-08-13T00:00:00",
-          "2010-08-14T00:00:00",
-          "2010-08-15T00:00:00",
-          "2010-08-16T00:00:00",
-          "2010-08-17T00:00:00",
-          "2010-08-18T00:00:00",
-          "2010-08-19T00:00:00",
-          "2010-08-20T00:00:00",
-          "2010-08-21T00:00:00",
-          "2010-08-22T00:00:00",
-          "2010-08-23T00:00:00",
-          "2010-08-24T00:00:00",
-          "2010-08-25T00:00:00",
-          "2010-08-26T00:00:00",
-          "2010-08-27T00:00:00",
-          "2010-08-28T00:00:00",
-          "2010-08-29T00:00:00",
-          "2010-08-30T00:00:00",
-          "2010-08-31T00:00:00",
-          "2010-09-01T00:00:00",
-          "2010-09-02T00:00:00",
-          "2010-09-03T00:00:00",
-          "2010-09-04T00:00:00",
-          "2010-09-05T00:00:00",
-          "2010-09-06T00:00:00",
-          "2010-09-07T00:00:00",
-          "2010-09-08T00:00:00",
-          "2010-09-09T00:00:00",
-          "2010-09-10T00:00:00",
-          "2010-09-11T00:00:00",
-          "2010-09-12T00:00:00",
-          "2010-09-13T00:00:00",
-          "2010-09-14T00:00:00",
-          "2010-09-15T00:00:00",
-          "2010-09-16T00:00:00",
-          "2010-09-17T00:00:00",
-          "2010-09-18T00:00:00",
-          "2010-09-19T00:00:00",
-          "2010-09-20T00:00:00",
-          "2010-09-21T00:00:00",
-          "2010-09-22T00:00:00",
-          "2010-09-23T00:00:00",
-          "2010-09-24T00:00:00",
-          "2010-09-25T00:00:00",
-          "2010-09-26T00:00:00",
-          "2010-09-27T00:00:00",
-          "2010-09-28T00:00:00",
-          "2010-09-29T00:00:00",
-          "2010-09-30T00:00:00",
-          "2010-10-01T00:00:00",
-          "2010-10-02T00:00:00",
-          "2010-10-03T00:00:00",
-          "2010-10-04T00:00:00",
-          "2010-10-05T00:00:00",
-          "2010-10-06T00:00:00",
-          "2010-10-07T00:00:00",
-          "2010-10-08T00:00:00",
-          "2010-10-09T00:00:00",
-          "2010-10-10T00:00:00",
-          "2010-10-11T00:00:00",
-          "2010-10-12T00:00:00",
-          "2010-10-13T00:00:00",
-          "2010-10-14T00:00:00",
-          "2010-10-15T00:00:00",
-          "2010-10-16T00:00:00",
-          "2010-10-17T00:00:00",
-          "2010-10-18T00:00:00",
-          "2010-10-19T00:00:00",
-          "2010-10-20T00:00:00",
-          "2010-10-21T00:00:00",
-          "2010-10-22T00:00:00",
-          "2010-10-23T00:00:00",
-          "2010-10-24T00:00:00",
-          "2010-10-25T00:00:00",
-          "2010-10-26T00:00:00",
-          "2010-10-27T00:00:00",
-          "2010-10-28T00:00:00",
-          "2010-10-29T00:00:00",
-          "2010-10-30T00:00:00",
-          "2010-10-31T00:00:00",
-          "2010-11-01T00:00:00",
-          "2010-11-02T00:00:00",
-          "2010-11-03T00:00:00",
-          "2010-11-04T00:00:00",
-          "2010-11-05T00:00:00",
-          "2010-11-06T00:00:00",
-          "2010-11-07T00:00:00",
-          "2010-11-08T00:00:00",
-          "2010-11-09T00:00:00",
-          "2010-11-10T00:00:00",
-          "2010-11-11T00:00:00",
-          "2010-11-12T00:00:00",
-          "2010-11-13T00:00:00",
-          "2010-11-14T00:00:00",
-          "2010-11-15T00:00:00",
-          "2010-11-16T00:00:00",
-          "2010-11-17T00:00:00",
-          "2010-11-18T00:00:00",
-          "2010-11-19T00:00:00",
-          "2010-11-20T00:00:00",
-          "2010-11-21T00:00:00",
-          "2010-11-22T00:00:00",
-          "2010-11-23T00:00:00",
-          "2010-11-24T00:00:00",
-          "2010-11-25T00:00:00",
-          "2010-11-26T00:00:00",
-          "2010-11-27T00:00:00",
-          "2010-11-28T00:00:00",
-          "2010-11-29T00:00:00",
-          "2010-11-30T00:00:00",
-          "2010-12-01T00:00:00",
-          "2010-12-02T00:00:00",
-          "2010-12-03T00:00:00",
-          "2010-12-04T00:00:00",
-          "2010-12-05T00:00:00",
-          "2010-12-06T00:00:00",
-          "2010-12-07T00:00:00",
-          "2010-12-08T00:00:00",
-          "2010-12-09T00:00:00",
-          "2010-12-10T00:00:00",
-          "2010-12-11T00:00:00",
-          "2010-12-12T00:00:00",
-          "2010-12-13T00:00:00",
-          "2010-12-14T00:00:00",
-          "2010-12-15T00:00:00",
-          "2010-12-16T00:00:00",
-          "2010-12-17T00:00:00",
-          "2010-12-18T00:00:00",
-          "2010-12-19T00:00:00",
-          "2010-12-20T00:00:00",
-          "2010-12-21T00:00:00",
-          "2010-12-22T00:00:00",
-          "2010-12-23T00:00:00",
-          "2010-12-24T00:00:00",
-          "2010-12-25T00:00:00",
-          "2010-12-26T00:00:00",
-          "2010-12-27T00:00:00",
-          "2010-12-28T00:00:00",
-          "2010-12-29T00:00:00",
-          "2010-12-30T00:00:00",
-          "2010-12-31T00:00:00",
-          "2011-01-01T00:00:00",
-          "2011-01-02T00:00:00",
-          "2011-01-03T00:00:00",
-          "2011-01-04T00:00:00",
-          "2011-01-05T00:00:00",
-          "2011-01-06T00:00:00",
-          "2011-01-07T00:00:00",
-          "2011-01-08T00:00:00",
-          "2011-01-09T00:00:00",
-          "2011-01-10T00:00:00",
-          "2011-01-11T00:00:00",
-          "2011-01-12T00:00:00",
-          "2011-01-13T00:00:00",
-          "2011-01-14T00:00:00",
-          "2011-01-15T00:00:00",
-          "2011-01-16T00:00:00",
-          "2011-01-17T00:00:00",
-          "2011-01-18T00:00:00",
-          "2011-01-19T00:00:00",
-          "2011-01-20T00:00:00",
-          "2011-01-21T00:00:00",
-          "2011-01-22T00:00:00",
-          "2011-01-23T00:00:00",
-          "2011-01-24T00:00:00",
-          "2011-01-25T00:00:00",
-          "2011-01-26T00:00:00",
-          "2011-01-27T00:00:00",
-          "2011-01-28T00:00:00",
-          "2011-01-29T00:00:00",
-          "2011-01-30T00:00:00",
-          "2011-01-31T00:00:00",
-          "2011-02-01T00:00:00",
-          "2011-02-02T00:00:00",
-          "2011-02-03T00:00:00",
-          "2011-02-04T00:00:00",
-          "2011-02-05T00:00:00",
-          "2011-02-06T00:00:00",
-          "2011-02-07T00:00:00",
-          "2011-02-08T00:00:00",
-          "2011-02-09T00:00:00",
-          "2011-02-10T00:00:00",
-          "2011-02-11T00:00:00",
-          "2011-02-12T00:00:00",
-          "2011-02-13T00:00:00",
-          "2011-02-14T00:00:00",
-          "2011-02-15T00:00:00",
-          "2011-02-16T00:00:00",
-          "2011-02-17T00:00:00",
-          "2011-02-18T00:00:00",
-          "2011-02-19T00:00:00",
-          "2011-02-20T00:00:00",
-          "2011-02-21T00:00:00",
-          "2011-02-22T00:00:00",
-          "2011-02-23T00:00:00",
-          "2011-02-24T00:00:00",
-          "2011-02-25T00:00:00",
-          "2011-02-26T00:00:00",
-          "2011-02-27T00:00:00",
-          "2011-02-28T00:00:00",
-          "2011-03-01T00:00:00",
-          "2011-03-02T00:00:00",
-          "2011-03-03T00:00:00",
-          "2011-03-04T00:00:00",
-          "2011-03-05T00:00:00",
-          "2011-03-06T00:00:00",
-          "2011-03-07T00:00:00",
-          "2011-03-08T00:00:00",
-          "2011-03-09T00:00:00",
-          "2011-03-10T00:00:00",
-          "2011-03-11T00:00:00",
-          "2011-03-12T00:00:00",
-          "2011-03-13T00:00:00",
-          "2011-03-14T00:00:00",
-          "2011-03-15T00:00:00",
-          "2011-03-16T00:00:00",
-          "2011-03-17T00:00:00",
-          "2011-03-18T00:00:00",
-          "2011-03-19T00:00:00",
-          "2011-03-20T00:00:00",
-          "2011-03-21T00:00:00",
-          "2011-03-22T00:00:00",
-          "2011-03-23T00:00:00",
-          "2011-03-24T00:00:00",
-          "2011-03-25T00:00:00",
-          "2011-03-26T00:00:00",
-          "2011-03-27T00:00:00",
-          "2011-03-28T00:00:00",
-          "2011-03-29T00:00:00",
-          "2011-03-30T00:00:00",
-          "2011-03-31T00:00:00",
-          "2011-04-01T00:00:00",
-          "2011-04-02T00:00:00",
-          "2011-04-03T00:00:00",
-          "2011-04-04T00:00:00",
-          "2011-04-05T00:00:00",
-          "2011-04-06T00:00:00",
-          "2011-04-07T00:00:00",
-          "2011-04-08T00:00:00",
-          "2011-04-09T00:00:00",
-          "2011-04-10T00:00:00",
-          "2011-04-11T00:00:00",
-          "2011-04-12T00:00:00",
-          "2011-04-13T00:00:00",
-          "2011-04-14T00:00:00",
-          "2011-04-15T00:00:00",
-          "2011-04-16T00:00:00",
-          "2011-04-17T00:00:00",
-          "2011-04-18T00:00:00",
-          "2011-04-19T00:00:00",
-          "2011-04-20T00:00:00",
-          "2011-04-21T00:00:00",
-          "2011-04-22T00:00:00",
-          "2011-04-23T00:00:00",
-          "2011-04-24T00:00:00",
-          "2011-04-25T00:00:00",
-          "2011-04-26T00:00:00",
-          "2011-04-27T00:00:00",
-          "2011-04-28T00:00:00",
-          "2011-04-29T00:00:00",
-          "2011-04-30T00:00:00",
-          "2011-05-01T00:00:00",
-          "2011-05-02T00:00:00",
-          "2011-05-03T00:00:00",
-          "2011-05-04T00:00:00",
-          "2011-05-05T00:00:00",
-          "2011-05-06T00:00:00",
-          "2011-05-07T00:00:00",
-          "2011-05-08T00:00:00",
-          "2011-05-09T00:00:00",
-          "2011-05-10T00:00:00",
-          "2011-05-11T00:00:00",
-          "2011-05-12T00:00:00",
-          "2011-05-13T00:00:00",
-          "2011-05-14T00:00:00",
-          "2011-05-15T00:00:00",
-          "2011-05-16T00:00:00",
-          "2011-05-17T00:00:00",
-          "2011-05-18T00:00:00",
-          "2011-05-19T00:00:00",
-          "2011-05-20T00:00:00",
-          "2011-05-21T00:00:00",
-          "2011-05-22T00:00:00",
-          "2011-05-23T00:00:00",
-          "2011-05-24T00:00:00",
-          "2011-05-25T00:00:00",
-          "2011-05-26T00:00:00",
-          "2011-05-27T00:00:00",
-          "2011-05-28T00:00:00",
-          "2011-05-29T00:00:00",
-          "2011-05-30T00:00:00",
-          "2011-05-31T00:00:00",
-          "2011-06-01T00:00:00",
-          "2011-06-02T00:00:00",
-          "2011-06-03T00:00:00",
-          "2011-06-04T00:00:00",
-          "2011-06-05T00:00:00",
-          "2011-06-06T00:00:00",
-          "2011-06-07T00:00:00",
-          "2011-06-08T00:00:00",
-          "2011-06-09T00:00:00",
-          "2011-06-10T00:00:00",
-          "2011-06-11T00:00:00",
-          "2011-06-12T00:00:00",
-          "2011-06-13T00:00:00",
-          "2011-06-14T00:00:00",
-          "2011-06-15T00:00:00",
-          "2011-06-16T00:00:00",
-          "2011-06-17T00:00:00",
-          "2011-06-18T00:00:00",
-          "2011-06-19T00:00:00",
-          "2011-06-20T00:00:00",
-          "2011-06-21T00:00:00",
-          "2011-06-22T00:00:00",
-          "2011-06-23T00:00:00",
-          "2011-06-24T00:00:00",
-          "2011-06-25T00:00:00",
-          "2011-06-26T00:00:00",
-          "2011-06-27T00:00:00",
-          "2011-06-28T00:00:00",
-          "2011-06-29T00:00:00",
-          "2011-06-30T00:00:00",
-          "2011-07-01T00:00:00",
-          "2011-07-02T00:00:00",
-          "2011-07-03T00:00:00",
-          "2011-07-04T00:00:00",
-          "2011-07-05T00:00:00",
-          "2011-07-06T00:00:00",
-          "2011-07-07T00:00:00",
-          "2011-07-08T00:00:00",
-          "2011-07-09T00:00:00",
-          "2011-07-10T00:00:00",
-          "2011-07-11T00:00:00",
-          "2011-07-12T00:00:00",
-          "2011-07-13T00:00:00",
-          "2011-07-14T00:00:00",
-          "2011-07-15T00:00:00",
-          "2011-07-16T00:00:00",
-          "2011-07-17T00:00:00",
-          "2011-07-18T00:00:00",
-          "2011-07-19T00:00:00",
-          "2011-07-20T00:00:00",
-          "2011-07-21T00:00:00",
-          "2011-07-22T00:00:00",
-          "2011-07-23T00:00:00",
-          "2011-07-24T00:00:00",
-          "2011-07-25T00:00:00",
-          "2011-07-26T00:00:00",
-          "2011-07-27T00:00:00",
-          "2011-07-28T00:00:00",
-          "2011-07-29T00:00:00",
-          "2011-07-30T00:00:00",
-          "2011-07-31T00:00:00",
-          "2011-08-01T00:00:00",
-          "2011-08-02T00:00:00",
-          "2011-08-03T00:00:00",
-          "2011-08-04T00:00:00",
-          "2011-08-05T00:00:00",
-          "2011-08-06T00:00:00",
-          "2011-08-07T00:00:00",
-          "2011-08-08T00:00:00",
-          "2011-08-09T00:00:00",
-          "2011-08-10T00:00:00",
-          "2011-08-11T00:00:00",
-          "2011-08-12T00:00:00",
-          "2011-08-13T00:00:00",
-          "2011-08-14T00:00:00",
-          "2011-08-15T00:00:00",
-          "2011-08-16T00:00:00",
-          "2011-08-17T00:00:00",
-          "2011-08-18T00:00:00",
-          "2011-08-19T00:00:00",
-          "2011-08-20T00:00:00",
-          "2011-08-21T00:00:00",
-          "2011-08-22T00:00:00",
-          "2011-08-23T00:00:00",
-          "2011-08-24T00:00:00",
-          "2011-08-25T00:00:00",
-          "2011-08-26T00:00:00",
-          "2011-08-27T00:00:00",
-          "2011-08-28T00:00:00",
-          "2011-08-29T00:00:00",
-          "2011-08-30T00:00:00",
-          "2011-08-31T00:00:00",
-          "2011-09-01T00:00:00",
-          "2011-09-02T00:00:00",
-          "2011-09-03T00:00:00",
-          "2011-09-04T00:00:00",
-          "2011-09-05T00:00:00",
-          "2011-09-06T00:00:00",
-          "2011-09-07T00:00:00",
-          "2011-09-08T00:00:00",
-          "2011-09-09T00:00:00",
-          "2011-09-10T00:00:00",
-          "2011-09-11T00:00:00",
-          "2011-09-12T00:00:00",
-          "2011-09-13T00:00:00",
-          "2011-09-14T00:00:00",
-          "2011-09-15T00:00:00",
-          "2011-09-16T00:00:00",
-          "2011-09-17T00:00:00",
-          "2011-09-18T00:00:00",
-          "2011-09-19T00:00:00",
-          "2011-09-20T00:00:00",
-          "2011-09-21T00:00:00",
-          "2011-09-22T00:00:00",
-          "2011-09-23T00:00:00",
-          "2011-09-24T00:00:00",
-          "2011-09-25T00:00:00",
-          "2011-09-26T00:00:00",
-          "2011-09-27T00:00:00",
-          "2011-09-28T00:00:00",
-          "2011-09-29T00:00:00",
-          "2011-09-30T00:00:00",
-          "2011-10-01T00:00:00",
-          "2011-10-02T00:00:00",
-          "2011-10-03T00:00:00",
-          "2011-10-04T00:00:00",
-          "2011-10-05T00:00:00",
-          "2011-10-06T00:00:00",
-          "2011-10-07T00:00:00",
-          "2011-10-08T00:00:00",
-          "2011-10-09T00:00:00",
-          "2011-10-10T00:00:00",
-          "2011-10-11T00:00:00",
-          "2011-10-12T00:00:00",
-          "2011-10-13T00:00:00",
-          "2011-10-14T00:00:00",
-          "2011-10-15T00:00:00",
-          "2011-10-16T00:00:00",
-          "2011-10-17T00:00:00",
-          "2011-10-18T00:00:00",
-          "2011-10-19T00:00:00",
-          "2011-10-20T00:00:00",
-          "2011-10-21T00:00:00",
-          "2011-10-22T00:00:00",
-          "2011-10-23T00:00:00",
-          "2011-10-24T00:00:00",
-          "2011-10-25T00:00:00",
-          "2011-10-26T00:00:00",
-          "2011-10-27T00:00:00",
-          "2011-10-28T00:00:00",
-          "2011-10-29T00:00:00",
-          "2011-10-30T00:00:00",
-          "2011-10-31T00:00:00",
-          "2011-11-01T00:00:00",
-          "2011-11-02T00:00:00",
-          "2011-11-03T00:00:00",
-          "2011-11-04T00:00:00",
-          "2011-11-05T00:00:00",
-          "2011-11-06T00:00:00",
-          "2011-11-07T00:00:00",
-          "2011-11-08T00:00:00",
-          "2011-11-09T00:00:00",
-          "2011-11-10T00:00:00",
-          "2011-11-11T00:00:00",
-          "2011-11-12T00:00:00",
-          "2011-11-13T00:00:00",
-          "2011-11-14T00:00:00",
-          "2011-11-15T00:00:00",
-          "2011-11-16T00:00:00",
-          "2011-11-17T00:00:00",
-          "2011-11-18T00:00:00",
-          "2011-11-19T00:00:00",
-          "2011-11-20T00:00:00",
-          "2011-11-21T00:00:00",
-          "2011-11-22T00:00:00",
-          "2011-11-23T00:00:00",
-          "2011-11-24T00:00:00",
-          "2011-11-25T00:00:00",
-          "2011-11-26T00:00:00",
-          "2011-11-27T00:00:00",
-          "2011-11-28T00:00:00",
-          "2011-11-29T00:00:00",
-          "2011-11-30T00:00:00",
-          "2011-12-01T00:00:00",
-          "2011-12-02T00:00:00",
-          "2011-12-03T00:00:00",
-          "2011-12-04T00:00:00",
-          "2011-12-05T00:00:00",
-          "2011-12-06T00:00:00",
-          "2011-12-07T00:00:00",
-          "2011-12-08T00:00:00",
-          "2011-12-09T00:00:00",
-          "2011-12-10T00:00:00",
-          "2011-12-11T00:00:00",
-          "2011-12-12T00:00:00",
-          "2011-12-13T00:00:00",
-          "2011-12-14T00:00:00",
-          "2011-12-15T00:00:00",
-          "2011-12-16T00:00:00",
-          "2011-12-17T00:00:00",
-          "2011-12-18T00:00:00",
-          "2011-12-19T00:00:00",
-          "2011-12-20T00:00:00",
-          "2011-12-21T00:00:00",
-          "2011-12-22T00:00:00",
-          "2011-12-23T00:00:00",
-          "2011-12-24T00:00:00",
-          "2011-12-25T00:00:00",
-          "2011-12-26T00:00:00",
-          "2011-12-27T00:00:00",
-          "2011-12-28T00:00:00",
-          "2011-12-29T00:00:00",
-          "2011-12-30T00:00:00",
-          "2011-12-31T00:00:00",
-          "2012-01-01T00:00:00",
-          "2012-01-02T00:00:00",
-          "2012-01-03T00:00:00",
-          "2012-01-04T00:00:00",
-          "2012-01-05T00:00:00",
-          "2012-01-06T00:00:00",
-          "2012-01-07T00:00:00",
-          "2012-01-08T00:00:00",
-          "2012-01-09T00:00:00",
-          "2012-01-10T00:00:00",
-          "2012-01-11T00:00:00",
-          "2012-01-12T00:00:00",
-          "2012-01-13T00:00:00",
-          "2012-01-14T00:00:00",
-          "2012-01-15T00:00:00",
-          "2012-01-16T00:00:00",
-          "2012-01-17T00:00:00",
-          "2012-01-18T00:00:00",
-          "2012-01-19T00:00:00",
-          "2012-01-20T00:00:00",
-          "2012-01-21T00:00:00",
-          "2012-01-22T00:00:00",
-          "2012-01-23T00:00:00",
-          "2012-01-24T00:00:00",
-          "2012-01-25T00:00:00",
-          "2012-01-26T00:00:00",
-          "2012-01-27T00:00:00",
-          "2012-01-28T00:00:00",
-          "2012-01-29T00:00:00",
-          "2012-01-30T00:00:00",
-          "2012-01-31T00:00:00",
-          "2012-02-01T00:00:00",
-          "2012-02-02T00:00:00",
-          "2012-02-03T00:00:00",
-          "2012-02-04T00:00:00",
-          "2012-02-05T00:00:00",
-          "2012-02-06T00:00:00",
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-          "2014-09-23T00:00:00",
-          "2014-09-24T00:00:00",
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-          "2014-09-26T00:00:00",
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-          "2014-09-29T00:00:00",
-          "2014-09-30T00:00:00",
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-          "2014-10-03T00:00:00",
-          "2014-10-04T00:00:00",
-          "2014-10-05T00:00:00",
-          "2014-10-06T00:00:00",
-          "2014-10-07T00:00:00",
-          "2014-10-08T00:00:00",
-          "2014-10-09T00:00:00",
-          "2014-10-10T00:00:00",
-          "2014-10-11T00:00:00",
-          "2014-10-12T00:00:00",
-          "2014-10-13T00:00:00",
-          "2014-10-14T00:00:00",
-          "2014-10-15T00:00:00",
-          "2014-10-16T00:00:00",
-          "2014-10-17T00:00:00",
-          "2014-10-18T00:00:00",
-          "2014-10-19T00:00:00",
-          "2014-10-20T00:00:00",
-          "2014-10-21T00:00:00",
-          "2014-10-22T00:00:00",
-          "2014-10-23T00:00:00",
-          "2014-10-24T00:00:00",
-          "2014-10-25T00:00:00",
-          "2014-10-26T00:00:00",
-          "2014-10-27T00:00:00",
-          "2014-10-28T00:00:00",
-          "2014-10-29T00:00:00",
-          "2014-10-30T00:00:00",
-          "2014-10-31T00:00:00",
-          "2014-11-01T00:00:00",
-          "2014-11-02T00:00:00",
-          "2014-11-03T00:00:00",
-          "2014-11-04T00:00:00",
-          "2014-11-05T00:00:00",
-          "2014-11-06T00:00:00",
-          "2014-11-07T00:00:00",
-          "2014-11-08T00:00:00",
-          "2014-11-09T00:00:00",
-          "2014-11-10T00:00:00",
-          "2014-11-11T00:00:00",
-          "2014-11-12T00:00:00",
-          "2014-11-13T00:00:00",
-          "2014-11-14T00:00:00",
-          "2014-11-15T00:00:00",
-          "2014-11-16T00:00:00",
-          "2014-11-17T00:00:00",
-          "2014-11-18T00:00:00",
-          "2014-11-19T00:00:00",
-          "2014-11-20T00:00:00",
-          "2014-11-21T00:00:00",
-          "2014-11-22T00:00:00",
-          "2014-11-23T00:00:00",
-          "2014-11-24T00:00:00",
-          "2014-11-25T00:00:00",
-          "2014-11-26T00:00:00",
-          "2014-11-27T00:00:00",
-          "2014-11-28T00:00:00",
-          "2014-11-29T00:00:00",
-          "2014-11-30T00:00:00",
-          "2014-12-01T00:00:00",
-          "2014-12-02T00:00:00",
-          "2014-12-03T00:00:00",
-          "2014-12-04T00:00:00",
-          "2014-12-05T00:00:00",
-          "2014-12-06T00:00:00",
-          "2014-12-07T00:00:00",
-          "2014-12-08T00:00:00",
-          "2014-12-09T00:00:00",
-          "2014-12-10T00:00:00",
-          "2014-12-11T00:00:00",
-          "2014-12-12T00:00:00",
-          "2014-12-13T00:00:00",
-          "2014-12-14T00:00:00",
-          "2014-12-15T00:00:00",
-          "2014-12-16T00:00:00",
-          "2014-12-17T00:00:00",
-          "2014-12-18T00:00:00",
-          "2014-12-19T00:00:00",
-          "2014-12-20T00:00:00",
-          "2014-12-21T00:00:00",
-          "2014-12-22T00:00:00",
-          "2014-12-23T00:00:00",
-          "2014-12-24T00:00:00",
-          "2014-12-25T00:00:00",
-          "2014-12-26T00:00:00",
-          "2014-12-27T00:00:00",
-          "2014-12-28T00:00:00",
-          "2014-12-29T00:00:00",
-          "2014-12-30T00:00:00",
-          "2014-12-31T00:00:00",
-          "2015-01-01T00:00:00",
-          "2015-01-02T00:00:00",
-          "2015-01-03T00:00:00",
-          "2015-01-04T00:00:00",
-          "2015-01-05T00:00:00",
-          "2015-01-06T00:00:00",
-          "2015-01-07T00:00:00",
-          "2015-01-08T00:00:00",
-          "2015-01-09T00:00:00",
-          "2015-01-10T00:00:00",
-          "2015-01-11T00:00:00",
-          "2015-01-12T00:00:00",
-          "2015-01-13T00:00:00",
-          "2015-01-14T00:00:00",
-          "2015-01-15T00:00:00",
-          "2015-01-16T00:00:00",
-          "2015-01-17T00:00:00",
-          "2015-01-18T00:00:00",
-          "2015-01-19T00:00:00",
-          "2015-01-20T00:00:00",
-          "2015-01-21T00:00:00",
-          "2015-01-22T00:00:00",
-          "2015-01-23T00:00:00",
-          "2015-01-24T00:00:00",
-          "2015-01-25T00:00:00",
-          "2015-01-26T00:00:00",
-          "2015-01-27T00:00:00",
-          "2015-01-28T00:00:00",
-          "2015-01-29T00:00:00",
-          "2015-01-30T00:00:00",
-          "2015-01-31T00:00:00",
-          "2015-02-01T00:00:00",
-          "2015-02-02T00:00:00",
-          "2015-02-03T00:00:00",
-          "2015-02-04T00:00:00",
-          "2015-02-05T00:00:00",
-          "2015-02-06T00:00:00",
-          "2015-02-07T00:00:00",
-          "2015-02-08T00:00:00",
-          "2015-02-09T00:00:00",
-          "2015-02-10T00:00:00",
-          "2015-02-11T00:00:00",
-          "2015-02-12T00:00:00",
-          "2015-02-13T00:00:00",
-          "2015-02-14T00:00:00",
-          "2015-02-15T00:00:00",
-          "2015-02-16T00:00:00",
-          "2015-02-17T00:00:00",
-          "2015-02-18T00:00:00",
-          "2015-02-19T00:00:00",
-          "2015-02-20T00:00:00",
-          "2015-02-21T00:00:00",
-          "2015-02-22T00:00:00",
-          "2015-02-23T00:00:00",
-          "2015-02-24T00:00:00",
-          "2015-02-25T00:00:00",
-          "2015-02-26T00:00:00",
-          "2015-02-27T00:00:00",
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-          "2015-03-01T00:00:00",
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-          "2015-03-12T00:00:00",
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-          "2015-03-14T00:00:00",
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-          "2015-03-19T00:00:00",
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-          "2015-03-22T00:00:00",
-          "2015-03-23T00:00:00",
-          "2015-03-24T00:00:00",
-          "2015-03-25T00:00:00",
-          "2015-03-26T00:00:00",
-          "2015-03-27T00:00:00",
-          "2015-03-28T00:00:00",
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-          "2015-04-05T00:00:00",
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-          "2015-04-08T00:00:00",
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-          "2015-04-25T00:00:00",
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-          "2015-04-28T00:00:00",
-          "2015-04-29T00:00:00",
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-          "2015-05-01T00:00:00",
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-          "2015-05-03T00:00:00",
-          "2015-05-04T00:00:00",
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-          "2015-05-19T00:00:00",
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-          "2015-05-24T00:00:00",
-          "2015-05-25T00:00:00",
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-          "2015-05-27T00:00:00",
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-          "2015-06-04T00:00:00",
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-          "2015-06-19T00:00:00",
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-          "2015-06-21T00:00:00",
-          "2015-06-22T00:00:00",
-          "2015-06-23T00:00:00",
-          "2015-06-24T00:00:00",
-          "2015-06-25T00:00:00",
-          "2015-06-26T00:00:00",
-          "2015-06-27T00:00:00",
-          "2015-06-28T00:00:00",
-          "2015-06-29T00:00:00",
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-          "2015-07-01T00:00:00",
-          "2015-07-02T00:00:00",
-          "2015-07-03T00:00:00",
-          "2015-07-04T00:00:00",
-          "2015-07-05T00:00:00",
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-          "2015-07-07T00:00:00",
-          "2015-07-08T00:00:00",
-          "2015-07-09T00:00:00",
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-          "2015-07-11T00:00:00",
-          "2015-07-12T00:00:00",
-          "2015-07-13T00:00:00",
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-          "2015-07-16T00:00:00",
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-          "2015-07-19T00:00:00",
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-          "2015-07-21T00:00:00",
-          "2015-07-22T00:00:00",
-          "2015-07-23T00:00:00",
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-          "2015-07-25T00:00:00",
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-          "2015-07-28T00:00:00",
-          "2015-07-29T00:00:00",
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-          "2015-08-05T00:00:00",
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-          "2015-08-12T00:00:00",
-          "2015-08-13T00:00:00",
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-          "2015-08-16T00:00:00",
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-          "2015-08-22T00:00:00",
-          "2015-08-23T00:00:00",
-          "2015-08-24T00:00:00",
-          "2015-08-25T00:00:00",
-          "2015-08-26T00:00:00",
-          "2015-08-27T00:00:00",
-          "2015-08-28T00:00:00",
-          "2015-08-29T00:00:00",
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-          "2015-08-31T00:00:00",
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-          "2015-09-02T00:00:00",
-          "2015-09-03T00:00:00",
-          "2015-09-04T00:00:00",
-          "2015-09-05T00:00:00",
-          "2015-09-06T00:00:00",
-          "2015-09-07T00:00:00",
-          "2015-09-08T00:00:00",
-          "2015-09-09T00:00:00",
-          "2015-09-10T00:00:00",
-          "2015-09-11T00:00:00",
-          "2015-09-12T00:00:00",
-          "2015-09-13T00:00:00",
-          "2015-09-14T00:00:00",
-          "2015-09-15T00:00:00",
-          "2015-09-16T00:00:00",
-          "2015-09-17T00:00:00",
-          "2015-09-18T00:00:00",
-          "2015-09-19T00:00:00",
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-          "2015-09-22T00:00:00",
-          "2015-09-23T00:00:00",
-          "2015-09-24T00:00:00",
-          "2015-09-25T00:00:00",
-          "2015-09-26T00:00:00",
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-          "2015-09-29T00:00:00",
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-          "2015-10-02T00:00:00",
-          "2015-10-03T00:00:00",
-          "2015-10-04T00:00:00",
-          "2015-10-05T00:00:00",
-          "2015-10-06T00:00:00",
-          "2015-10-07T00:00:00",
-          "2015-10-08T00:00:00",
-          "2015-10-09T00:00:00",
-          "2015-10-10T00:00:00",
-          "2015-10-11T00:00:00",
-          "2015-10-12T00:00:00",
-          "2015-10-13T00:00:00",
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-          "2015-10-16T00:00:00",
-          "2015-10-17T00:00:00",
-          "2015-10-18T00:00:00",
-          "2015-10-19T00:00:00",
-          "2015-10-20T00:00:00",
-          "2015-10-21T00:00:00",
-          "2015-10-22T00:00:00",
-          "2015-10-23T00:00:00",
-          "2015-10-24T00:00:00",
-          "2015-10-25T00:00:00",
-          "2015-10-26T00:00:00",
-          "2015-10-27T00:00:00",
-          "2015-10-28T00:00:00",
-          "2015-10-29T00:00:00",
-          "2015-10-30T00:00:00",
-          "2015-10-31T00:00:00",
-          "2015-11-01T00:00:00",
-          "2015-11-02T00:00:00",
-          "2015-11-03T00:00:00",
-          "2015-11-04T00:00:00",
-          "2015-11-05T00:00:00",
-          "2015-11-06T00:00:00",
-          "2015-11-07T00:00:00",
-          "2015-11-08T00:00:00",
-          "2015-11-09T00:00:00",
-          "2015-11-10T00:00:00",
-          "2015-11-11T00:00:00",
-          "2015-11-12T00:00:00",
-          "2015-11-13T00:00:00",
-          "2015-11-14T00:00:00",
-          "2015-11-15T00:00:00",
-          "2015-11-16T00:00:00",
-          "2015-11-17T00:00:00",
-          "2015-11-18T00:00:00",
-          "2015-11-19T00:00:00",
-          "2015-11-20T00:00:00",
-          "2015-11-21T00:00:00",
-          "2015-11-22T00:00:00",
-          "2015-11-23T00:00:00",
-          "2015-11-24T00:00:00",
-          "2015-11-25T00:00:00",
-          "2015-11-26T00:00:00",
-          "2015-11-27T00:00:00",
-          "2015-11-28T00:00:00",
-          "2015-11-29T00:00:00",
-          "2015-11-30T00:00:00",
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-          "2015-12-02T00:00:00",
-          "2015-12-03T00:00:00",
-          "2015-12-04T00:00:00",
-          "2015-12-05T00:00:00",
-          "2015-12-06T00:00:00",
-          "2015-12-07T00:00:00",
-          "2015-12-08T00:00:00",
-          "2015-12-09T00:00:00",
-          "2015-12-10T00:00:00",
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-          "2015-12-12T00:00:00",
-          "2015-12-13T00:00:00",
-          "2015-12-14T00:00:00",
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-          "2015-12-16T00:00:00",
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-          "2015-12-20T00:00:00",
-          "2015-12-21T00:00:00",
-          "2015-12-22T00:00:00",
-          "2015-12-23T00:00:00",
-          "2015-12-24T00:00:00",
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-          "2015-12-29T00:00:00",
-          "2015-12-30T00:00:00",
-          "2015-12-31T00:00:00",
-          "2016-01-01T00:00:00",
-          "2016-01-02T00:00:00",
-          "2016-01-03T00:00:00",
-          "2016-01-04T00:00:00",
-          "2016-01-05T00:00:00",
-          "2016-01-06T00:00:00",
-          "2016-01-07T00:00:00",
-          "2016-01-08T00:00:00",
-          "2016-01-09T00:00:00",
-          "2016-01-10T00:00:00",
-          "2016-01-11T00:00:00",
-          "2016-01-12T00:00:00",
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",
       "text/plain": [
-       "{}"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "execution_count": 4,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
+    "df = cc_df_comp.loc[cc_df_comp.category == SMARTCARD_CATEGORY]\n",
+    "date_range = pd.date_range(df.not_valid_before.min(), df.not_valid_before.max())\n",
+    "cert_ids_with_reach = df.loc[df.n_in_trans_refs > 0]\n",
+    "\n",
+    "dct = {}\n",
+    "for date in tqdm(date_range):\n",
+    "    active_certs = df.loc[(date >= df.not_valid_before) & (date <= df.not_valid_after)]\n",
+    "    active_cert_ids = set(active_certs.cert_id)\n",
+    "    daily_certs_with_reach = cert_ids_with_reach.assign(\n",
+    "        in_trans_refs=lambda df_: df_.in_trans_refs.apply(lambda x: x.intersection(active_cert_ids)),\n",
+    "        n_in_trans_refs=lambda df_: df_.in_trans_refs.map(len_if_exists),\n",
+    "    )\n",
+    "    daily_top_10 = daily_certs_with_reach.sort_values(by=\"n_in_trans_refs\", ascending=False).head(10)\n",
+    "    dct[date] = len(set(itertools.chain.from_iterable(daily_top_10.in_trans_refs.tolist()))) / len(active_cert_ids)\n",
+    "\n",
+    "reach_df = pd.DataFrame(pd.Series(dct, name=\"combined reach\")).rename_axis(\"date\")\n",
+    "\n",
+    "plt.figure()\n",
+    "g = sns.lineplot(data=reach_df, x=\"date\", y=\"combined reach\")\n",
+    "g.set(title=\"Combined reach of top-10 certificates in time\", xlabel=\"Time\", ylabel=\"Combined reach\")\n",
+    "g.figure.savefig(RESULTS_DIR / \"combined_reach_evolution.pdf\", bbox_inches=\"tight\")\n",
+    "g.figure.show()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Average number of references & certificate reach over time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "def compute_avg_references(df__: pd.DataFrame, variable: str, date_range: pd.DatetimeIndex) -> dict:\n",
     "    df = df__.copy()\n",
     "    return {\n",
@@ -38214,12 +711,8 @@
     "    }\n",
     "\n",
     "\n",
-    "def compute_avg_reach(df__: pd.DataFrame, category: str, date_range: pd.DatetimeIndex) -> dict:\n",
-    "    certs_from_category = (\n",
-    "        df__.copy().loc[df__.category == SMARTCARD_CATEGORY]\n",
-    "        if category == \"smartcards\"\n",
-    "        else df__.copy().loc[df__.category != SMARTCARD_CATEGORY]\n",
-    "    )\n",
+    "def compute_avg_reach(df__: pd.DataFrame, categories: set[str], date_range: pd.DatetimeIndex) -> dict:\n",
+    "    certs_from_category = df__.copy().loc[df__.category.isin(categories)]\n",
     "    certs_with_reach = certs_from_category.loc[certs_from_category.n_in_trans_refs > 0].cert_id.tolist()\n",
     "\n",
     "    print(\"Preparing inputs for average reach computation...\")\n",
@@ -38279,14 +772,16 @@
     "def compute_avg_reach_over_time(df__: pd.DataFrame) -> dict:\n",
     "    df = df__.copy()\n",
     "    date_range = pd.date_range(df.not_valid_before.min(), df.not_valid_before.max())\n",
-    "    reach_smartcards = compute_avg_reach(df, \"smartcards\", date_range)\n",
-    "    reach_others = compute_avg_reach(df, \"others\", date_range)\n",
+    "    reach_smartcards = compute_avg_reach(df, {SMARTCARD_CATEGORY}, date_range)\n",
+    "    reach_card_related = compute_avg_reach(df, CARD_RELATED_CAT, date_range)\n",
+    "    reach_others = compute_avg_reach(df, OTHERS_CAT, date_range)\n",
     "\n",
     "    df_avg_num_refs_melted = (\n",
     "        pd.concat(\n",
     "            [\n",
-    "                pd.Series(reach_smartcards, name=\"smartcard reach\"),\n",
-    "                pd.Series(reach_others, name=\"other reach\"),\n",
+    "                pd.Series(reach_smartcards, name=\"smartcards\"),\n",
+    "                pd.Series(reach_card_related, name=\"smartcard-related\"),\n",
+    "                pd.Series(reach_others, name=\"others\"),\n",
     "            ],\n",
     "            axis=1,\n",
     "        )\n",
@@ -38295,21 +790,212 @@
     "        .melt(id_vars=[\"date\"], var_name=\"category\", value_name=\"n_references\")\n",
     "    )\n",
     "\n",
-    "    fig = px.line(\n",
-    "        df_avg_num_refs_melted,\n",
-    "        x=\"date\",\n",
-    "        y=\"n_references\",\n",
-    "        color=\"category\",\n",
-    "        hover_data={\"date\": \"|%Y-%m-%d\"},\n",
-    "        title=\"Timestamp vs Value\",\n",
+    "    return df_avg_num_refs_melted\n",
+    "\n",
+    "\n",
+    "# compute_avg_references_over_time(cc_df_comp)\n",
+    "# df_avg_reach = compute_avg_reach_over_time(cc_df_comp)\n",
+    "# df_avg_reach.to_csv(RESULTS_DIR / \"avg_reach_over_time.csv\", header=True, index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Histogram of n days to 0-reach for certificates given they archival date\n",
+    "\n",
+    "- For each certificate that has >0 reach on its archival date, we compute the number of days *after* the archival date such that its reach is >0\n",
+    "- We then plot the histogram of these numbers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 652/652 [03:05<00:00,  3.51it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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b1u+x5eXlWrVqVdy+diJ1dTpKSx+m3NzcmM8RDnfHsSIAAOwUU4h54YUXenyemZmpiRMnKhAIxKWo9evX66yzzpIkPfzww5o1a5aqqqqUl5fX5/GLFy9WUVFRr/aamhoVFxfHpaZ46e7ulAl3q2TVJo30Z0U1tvVAk9aVFStsTIKqAwDAHjGFmC996UvxrqOH6dOnRz5esmSJNm7cqK1bt6qkpKTP44PBoILBYEJrircMr18enz+qMR2h9gRVAwCAfWK+2d0TTzyhiy++WAUFBbr44ov1hz/8IZ519ZCeni7Dsw8AAOBjYgoxjzzyiK6++mpNnDhRJSUlmjhxoq655pqoronp6upSKBRSV1eXwuGwQqGQOjs7VVdXpx07dshxHDmOo3Xr1umvf/2rZs6cGUupAABgkIrp5aT77rtPjz/+uC688MJIW1FRkW688cY+7yHTl7Kysh4X41ZUVGjBggW65ZZb9O1vf1u7d+9WRkaGJk2apCeffFITJkyIpVQAADBIxRRi6urqdMEFF/RomzFjRlRbDtxxxx264447+uyrrKyMpSwAADCExPRyUm5urrZv396jbceOHTr55JPjUhQAAMCxxPRMzM0336yvf/3rWrRokSZMmKA9e/booYce0v333x/v+gAAAPoUU4hZuHChMjMztW7dOj399NPKzc3Vr371K82dOzfe9QEAAPQpqpeT/va3v2n58uWSpLlz5+rpp5/Wrl279PTTT6uyslJ///vfE1IkAADAkaIKMffdd58+85nP9Nk3ceJE/fCHP4xLUQAAAMcS1ctJr776qn7xi1/02XfppZdq5cqVcSkKSAUD2XAzIyNDXq83jtUAAI4UVYjZt2+fRo0a1WdfZmbmgHejBlJBPDbpzBk9RnW1ewkyAJBAUYWYQCCguro6jRs3rldfXV2dRo4cGbfCALcMZJNO6aM9rh5cMUeO4xBiACCBogoxX/rSl/TAAw/oRz/6Ua++n/70pzr//PPjVhjgtlg26QQAJE9UIebWW2/V5z//ef33v//VN77xDZ188sn697//rUcffVQVFRV6/fXXE1UnAABAD1GFmMLCQj311FMqKSnRI488orS0NBljNHHiRD311FMqKChIVJ0AAAA9RH2zuxkzZuidd97R7t271djYqNGjR+uUU05JRG0AAAD9iumOvZJ0yimnEF4AAIBrYtoAEgAAwG2EGAAAYCVCDAAAsBIhBgAAWCnmC3uBaMS6DxF7EAEA+kOIQUINdB8i9iACAPSHEIOEGsg+ROxBBAA4GkIMkoJ9iAAA8caFvQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlbjZHTCIhEIhOY4T09hwOKz09Nj+XzPU9rgayDwPtbkCEokQAwwSoVBI4/Ly1dTYENP4YcOGq7u7K6axQ2mPq4HO81CaKyDRCDHAIOE4jpoaG1Ratlkeb3RbPLQeaNK6smL2uDoOA5nnoTZXQKIRYoBBxhPDPlUdoXZJ7HEVjVjmGUB8cWEvAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsJJrIWbNmjU6++yz5fF4dMUVV/Toq66u1rnnnquRI0dq0qRJev75512qEgAApCrXQszYsWO1YsUKXXfddT3aOzs7dckll6ioqEj79+/XypUrNXv2bDU2NrpUKQAASEWuhZg5c+bo0ksv1UknndSj/cUXX9TBgwe1bNkyeTwezZ8/XwUFBaqoqHCpUgAAkIqGu13Akaqrq1VYWKj09P/lqylTpqi6urrfMfX19aqvr+/VXlNTk5AakVwtLS1JGQMAsEvKhZi2tjZlZ2f3aMvOzlZtbW2/Y8rLy7Vq1aoEV4Zk6+p0lJY+TLm5uTGfIxzujmNFAIBUknIhJhAIqLm5uUdbc3OzMjMz+x2zePFiFRUV9WqvqalRcXFx3GtEcnR3d8qEu1WyapNG+rOiGtt6oEnryooVNiZB1QEA3JZyIaagoED33HOPwuFw5CWlyspKXXnllf2OCQaDCgaDySoRSZbh9cvj80c1piPUnqBqAACpwrULe7u6uhQKhdTV1aVwOKxQKKTOzk7NmDFDPp9P9957rzo6OlRRUaGqqirNmzfPrVIBAEAKci3ElJWVyefzafXq1aqoqJDP59N1112nESNG6IknntCWLVuUnZ2t22+/XZs3b9bo0aPdKhUAAKQg115OuuOOO3THHXf02VdYWKjXX389uQUBAACrsO0AAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArpdzN7oChLhQKyXGcqMexXxSAoYYQA6SQUCikcXn5ampsiPkc7BcFYKggxAApxHEcNTU2qLRsszze6LZaYL8oAEMNIQZIQR72iwKAY+LCXgAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADAStzsDgCSLJZ9rtgbC+iNEAMASdLV6SgtfZhyc3NjPgd7YwH/Q4gBgCTp7u6UCXerZNUmjfRnRTWWvbGA3ggxAJBkGeyNBcQFF/YCAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACtxx14ArgqFQnIcJ6axGRkZ8nq9ca4IgC0IMQBcEwqFNC4vX02NDTGNzxk9RnW1ewkywBBFiAHgGsdx1NTYoNKyzfJ4o99L6MEVc+Q4DiEGGKIIMQBc54lhQ0QA4MJeAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYKWUDDELFy5URkaGAoFA5FFXV+d2WQAAIIWkZIiRpO985ztqa2uLPMaNG+d2SQAAIIWkbIgBAAA4muFuF9CftWvXau3atcrNzdWNN96oa6+9tt9j6+vrVV9f36u9pqYmkSUCR9XS0pKUMQAwVKVkiLnhhht03333KTs7Wzt27NC8efOUlZWluXPn9nl8eXm5Vq1aleQqgb51dTpKSx+m3NzcmM8RDnfHsSIAGJxSMsSceeaZkY/PP/98lZaWqqKiot8Qs3jxYhUVFfVqr6mpUXFxccLqBPrS3d0pE+5WyapNGunPimps64EmrSsrVtiYBFUHAINHSoaYI6Wnp8sc5Zd6MBhUMBhMYkXAsWV4/fL4/FGN6Qi1J6gaABh8UvLC3k2bNqm1tVXhcFh//vOftWbNGs2ePdvtsgAAQApJyWdi1qxZo+uvv17d3d0aN26cysrKdMUVV7hdFgAASCEpGWJeeuklt0sAAAApLiVfTgIAADgWQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgpeFuFwBgcGhpaUnKmHidIyMjQ16vd8BfH7BdKBSS4zgxjXX754gQA2BAujodpaUPU25ubsznCIe7k/51c0aPUV3tXoIMhrRQKKRxeflqamyIabzbP0eEGAAD0t3dKRPuVsmqTRrpz4pqbOuBJq0rK1bYmKR+3Y5Qux5cMUeO4xBiMKQ5jqOmxgaVlm2Wx+uPamwq/BwRYgDERYbXL48v+l+CbnxdAD15LP054sJeAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBK3OwOAIaIWPeZCofDSk+P7f+8bu+tg8GNEAMAg9xA95kaNmy4uru7Yhrr9t46GNwIMQAwyMVjfyv2qEIqIsQAwBAxkP2t2KMKqYgLewEAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAK3GzOwBDVix7CcW6/9BQFuucse/S8QuFQnIcJ+pxtq9nQgyAIWegewlJUjjcHceKBqeBzjP7Lh2fUCikcXn5ampsiPkctq5nQgyAISceewmFjUlQdYPHQOaZfZeOn+M4ampsUGnZZnm80W0NYft6JsQAGLIGspcQjh/7LiWHZwiuZy7sBQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwUsqGmAMHDujyyy9XZmamxo4dqwceeMDtkgAAQApJ2fvELF26VB0dHfrggw9UW1urCy+8UJ/97Gc1a9Yst0sDAAApICVDTHt7uyoqKvTmm29q1KhRKiws1HXXXaeHHnqozxBTX1+v+vr6Xu2VlZWSpJqamrjW19bWJkn693s7NSLDF9XYg637JUkfvFclry/A2EE21s2vzVjGDqaxnc4hSdLLL78sv58b5R1Ne/tHN6xL9t+kw/9GlZWVCgSi/115NIf/bh86dOjoB5oU9NZbb5nhw4f3aNu0aZM59dRT+zx+5cqVRhIPHjx48ODBYxA91q9ff9S8kJLPxLS1tSkrK6tHW3Z2tlpbW/s8fvHixSoqKurVvn//ftXU1OiMM86QzxddOj2ampoaFRcXa/369TrttNPidl70xDwnB/OcHMxzcjDPyZHoeT506JD27t2riy666KjHpWSICQQCvbYHb25uVmZmZp/HB4NBBYPBPvsuvPDCuNd32GmnnaYzzzwzYefHR5jn5GCek4N5Tg7mOTkSOc/Tpk075jEp+e6kiRMnKi0tTbt27Yq0VVZWqqCgwMWqAABAKknJEOP3+3XZZZdp+fLlam1tVXV1tX71q1/p2muvdbs0AACQIlIyxEjSgw8+qBEjRigYDOorX/mKli1bxturAQBAREpeEyN9dCFvRUWF22UAAIAUlbLPxKSyYDColStX9nsxMeKDeU4O5jk5mOfkYJ6TI1XmOc0YY1ytAAAAIAY8EwMAAKxEiAEAAFYixAAAACsRYgAAgJUIMVE6cOCALr/8cmVmZmrs2LF64IEH3C7JOgsXLlRGRoYCgUDkUVdXF+l///33NXPmTPn9fo0fP14bN27sMX779u0qKCjQyJEjNXXqVP39739P9reQstasWaOzzz5bHo9HV1xxRY++6upqnXvuuRo5cqQmTZqk559/vkf/73//e02YMEEjR47UhRdeqNra2h79t912m3JycpSVlaVFixapo6Mj4d9PqjraPOfn58vn80XW9uTJk3v0H2v9rlmzRp/61KcUCAQ0d+5c7d+/P+HfTyrq6OjQokWLNH78eGVmZmry5MnasGFDpJ/1HB/HmueUX89x2nh6yLj66qtNUVGRaW5uNjt37jQ5OTnmqaeecrssqyxYsMB873vf67d/2rRpZsmSJebgwYPmhRdeMIFAwFRVVRljjNm3b5/Jysoyv/nNb0woFDL333+/GTdunAmFQskqP6U99thjZsuWLaa0tNTMnz8/0u44jsnPzzerV682oVDIbNy40YwaNco0NDQYY4x5++23jd/vN9u2bTMHDx40N910kznnnHMi49etW2fGjx9v9uzZY/bt22emTZtmbrnllqR/f6miv3k2xpi8vDyzdevWPscda/0+88wz5sQTTzRvvvmmaWlpMfPmzTOXX355wr+fVNTW1mZuu+02s2fPHhMOh82OHTvMqFGjzCuvvMJ6jqOjzbMxqb+eCTFRaGtrMxkZGZE/qMYYc+utt5rLLrvMxarsc7QQ8+6775rhw4eb//73v5G2q666ynz3u981xhizdu1ac9ZZZ0X6wuGwOfnkk82TTz6Z2KIts3Llyh5/XJ955hkzevRo093dHWn74he/aNasWWOM+Wgdz507N9LX0tJiPB6Pqa6ujhz7s5/9rMf5cnJyEv1tpLwj59mYo//SP9b6veqqq8zNN98c6T/883DgwIEEVG+fWbNmmfvuu4/1nGCH59mY1F/PvJwUhXfffVfhcLjHRpRTpkxRdXW1i1XZae3atTrxxBN1+umn66GHHoq0V1dXKy8vTyeccEKk7eNzXF1drSlTpkT60tLS9LnPfY5/g2Oorq5WYWGh0tP/9yN/tHnNzMzUhAkT+u2fMmWKmpqa1NDQkJT6bbNgwQLl5ORoxowZevnllyPtx1q/R/Z/5jOfUUZGht55551klZ6y2tvb9cYbb6igoID1nEAfn+fDUnk9E2Ki0NbWpqysrB5t2dnZam1tdakiO91www1699131djYqAceeEC33HKLHnvsMUkfzXF2dnaP4z8+x8fqR98GOq9H9h/+mHnvbf369dq7d6/q6uo0f/58zZo1K3I9Bus7NuFwWAsXLtTUqVM1c+ZM1nOCHDnPUuqvZ0JMFAKBgFpaWnq0NTc3KzMz06WK7HTmmWfqpJNO0vDhw3X++eertLQ0sk9WIBBQc3Nzj+M/PsfH6kffBjqvR/Yf/ph572369Ony+Xzy+XxasmSJzjjjDG3dulUS6zsWxhiVlJToww8/1O9+9zulpaWxnhOgr3mWUn89E2KiMHHiRKWlpWnXrl2RtsrKyh5PuyF66enpMv+/+0VBQYFqa2t14MCBSP/H57igoECVlZWRPmOMdu7cyb/BMRQUFKiqqkrhcDjSdrR5bWtr0549e/rtr6ysVE5OjsaMGZOU+m125Po+2vo9sn/37t3q6OjQqaeemsySU4YxRqWlpaqsrNTWrVsVCAQksZ7jrb957kvKree4XV0zRFx11VXm61//umlpaTFVVVVmzJgxvDspSr/73e9MS0uL6e7uNjt27DAnnXSS+e1vfxvp/+IXv2hKS0vNwYMHzfbt201mZmavdyc9+uijpqOjw/z4xz82ubm5vDvp/3V2dppDhw6Z5cuXm3nz5plDhw4Zx3Ei7+a4++67TSgUMps2berz3Rx/+tOfzKFDh8x3vvOdHu/mWLt2rZkwYYJ57733zH/+8x9z3nnnDdl3cxjT/zzX1taal156yXR0dJiOjg6zdu1a4/f7ze7du40xx16/zzzzjPnEJz5h3nrrLdPa2mrmz58/ZN+dZIwx3/rWt8wZZ5zR40J/YwzrOc76m2cb1jMhJkr79+83l112mfH7/eaTn/yk+fGPf+x2SdY577zzTFZWlgkEAmbSpEnml7/8ZY/+uro68+Uvf9n4fD6Tl5dnNmzY0KP/hRdeMJMnTzZer9ecffbZ5m9/+1sSq09tK1euNJJ6PBYsWGCMMWbnzp3mnHPOMV6v15x66qnm2Wef7TF206ZNZvz48cbn85nzzz/f7N27N9IXDofN8uXLzSc+8QkzatQoc+211w7p4NjfPO/atcucfvrpxu/3mxNOOMFMmzbNvPDCCz3GHmv9/uxnPzPBYND4/X4ze/bsXn9Yhoq9e/caScbj8Ri/3x95rF692hjDeo6Xo82zDeuZXawBAICVuCYGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACv9H90gxAPE0zgWAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "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>0</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>268.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>707.380597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>550.078827</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>252.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>596.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1044.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>2508.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 0\n",
+       "count   268.000000\n",
+       "mean    707.380597\n",
+       "std     550.078827\n",
+       "min       1.000000\n",
+       "25%     252.000000\n",
+       "50%     596.500000\n",
+       "75%    1044.000000\n",
+       "max    2508.000000"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "date_range = pd.date_range(cc_df_comp.not_valid_before.min(), cc_df_comp.not_valid_before.max())\n",
+    "cert_ids_with_reach = list(set(cc_df_comp.loc[cc_df_comp.n_in_trans_refs > 0].cert_id.tolist()))\n",
+    "parallel_processing_inputs = [(cc_df_comp.copy(), x, date_range) for x in cert_ids_with_reach]\n",
+    "reach_list = process_parallel(\n",
+    "    find_reach_over_time, parallel_processing_inputs, max_workers=200, use_threading=False, unpack=True\n",
+    ")\n",
+    "cert_id_to_archival = cc_df_comp[[\"cert_id\", \"not_valid_after\"]].set_index(\"cert_id\").to_dict()[\"not_valid_after\"]\n",
+    "\n",
+    "# Choose only rows that are post-archival and with >0 reach\n",
+    "reach_list = [x.loc[(x.index > cert_id_to_archival[x.name]) & (x > 0)] for x in reach_list]\n",
+    "# Pick the number of such rows\n",
+    "reach_list = [x.shape[0] for x in reach_list if x.shape[0] > 0]\n",
+    "\n",
+    "# cc_df_comp.not_valid_after.value_counts()\n",
+    "sns.histplot(data=reach_list, log_scale=False, bins=30)\n",
+    "plt.show()\n",
+    "pd.DataFrame(reach_list).describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 9185/9185 [00:08<00:00, 1110.26it/s]\n",
+      "100%|██████████| 9185/9185 [00:07<00:00, 1177.43it/s]\n",
+      "100%|██████████| 9185/9185 [00:08<00:00, 1072.00it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "def plot_avg_references_over_time(df__: pd.DataFrame) -> dict:\n",
+    "    df = df__.copy()\n",
+    "    card_related_categories = {\"Other Devices and Systems\", \"Products for Digital Signatures\", \"Trusted Computing\"}\n",
+    "    other_categories = {\n",
+    "        \"Access Control Devices and Systems\",\n",
+    "        \"Biometric Systems and Devices\",\n",
+    "        \"Boundary Protection Devices and Systems\",\n",
+    "        \"Data Protection\",\n",
+    "        \"Databases\",\n",
+    "        \"Detection Devices and Systems\",\n",
+    "        \"Key Management Systems\",\n",
+    "        \"Mobility\",\n",
+    "        \"Multi-Function Devices\",\n",
+    "        \"Network and Network-Related Devices and Systems\",\n",
+    "        \"Operating Systems\",\n",
+    "    }\n",
+    "    date_range = pd.date_range(df.not_valid_before.min(), df.not_valid_before.max())\n",
+    "    refs_smartcards = compute_avg_references(df.loc[df.category == SMARTCARD_CATEGORY], \"n_trans_refs\", date_range)\n",
+    "    refs_card_related = compute_avg_references(\n",
+    "        df.loc[df.category.isin(card_related_categories)], \"n_trans_refs\", date_range\n",
     "    )\n",
-    "    fig.show()\n",
+    "    refs_others = compute_avg_references(df.loc[df.category.isin(other_categories)], \"n_trans_refs\", date_range)\n",
     "\n",
-    "    return {}\n",
+    "    df_avg_num_refs_melted = (\n",
+    "        pd.concat(\n",
+    "            [\n",
+    "                pd.Series(refs_smartcards, name=\"smartcards\"),\n",
+    "                pd.Series(refs_card_related, name=\"smartcard-related\"),\n",
+    "                pd.Series(refs_others, name=\"others categories\"),\n",
+    "            ],\n",
+    "            axis=1,\n",
+    "        )\n",
+    "        .rename_axis(\"date\")\n",
+    "        .reset_index()\n",
+    "        .melt(id_vars=[\"date\"], var_name=\"category\", value_name=\"n_references\")\n",
+    "    )\n",
+    "\n",
+    "    # plt.figure()\n",
+    "    # g = sns.lineplot(data=df_avg_num_refs_melted, x=\"date\", y=\"n_references\", hue=\"category\", errorbar=None)\n",
+    "    # g.set(\n",
+    "    #     title=\"Average number of transitive references in time\",\n",
+    "    #     xlabel=\"Time\",\n",
+    "    #     ylabel=\"Number of certificates\",\n",
+    "    # )\n",
+    "    # g.figure.savefig(RESULTS_DIR / \"lineplot_avg_refs.pdf\", bbox_inches=\"tight\")\n",
+    "    # g.figure.show()\n",
+    "\n",
+    "    return df_avg_num_refs_melted\n",
     "\n",
     "\n",
-    "compute_avg_references_over_time(cc_df_comp)\n",
-    "compute_avg_reach_over_time(cc_df_comp)"
+    "df_to_plot = plot_avg_references_over_time(cc_df_comp)\n",
+    "df_to_plot.to_csv(RESULTS_DIR / \"avg_refs_over_time.csv\", header=True, index=False)"
    ]
   },
   {
@@ -38322,9 +1008,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 9185/9185 [00:24<00:00, 370.83it/s]\n",
+      "100%|██████████| 9185/9185 [00:20<00:00, 458.34it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "def compute_number_of_active_vs_ref_rich_certs_over_time(df__: pd.DataFrame) -> dict:\n",
     "    df = df__.copy()\n",
@@ -38453,9 +1188,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 9185/9185 [01:08<00:00, 134.03it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "def compute_certs_referencing_archived_ones(df__: pd.DataFrame) -> dict:\n",
     "    df = df__.copy()\n",
@@ -38530,13 +1293,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  7%|▋         | 611/9185 [00:01<00:13, 613.85it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 9185/9185 [00:12<00:00, 709.44it/s]\n"
+     ]
+    }
+   ],
    "source": [
     "def compute_refs_to_archived_on_issuance_day(cc_df_comp: pd.DataFrame, cc_dset: CCDataset) -> None:\n",
     "    cert_id_to_dgst = {x.heuristics.cert_id: x.dgst for x in cc_dset}\n",
     "\n",
+    "    def cert_id_to_url(cert_id):\n",
+    "        return f\"https://seccerts.org/cc/{cert_id_to_dgst[cert_id]}/\"\n",
+    "\n",
     "    def cert_was_archived_on_date(date: pd.Timestamp, cert_id: str) -> bool:\n",
     "        if not date:\n",
     "            return False\n",
@@ -38558,9 +1339,15 @@
     "            [df_problematic, certs_issued[certs_issued.refs_to_archived_certs.map(lambda x: len(x) > 0)]]\n",
     "        )\n",
     "\n",
+    "    df_problematic = df_problematic.assign(\n",
+    "        url=lambda df_: df_.cert_id.map(cert_id_to_url),\n",
+    "        archived_refs_urls=lambda df_: df_.refs_to_archived_certs.map(lambda x: [cert_id_to_url(y) for y in x]),\n",
+    "    )\n",
+    "\n",
     "    df_problematic = df_problematic[\n",
     "        [\n",
     "            \"cert_id\",\n",
+    "            \"url\",\n",
     "            \"name\",\n",
     "            \"status\",\n",
     "            \"category\",\n",
@@ -38572,12 +1359,16 @@
     "            \"cert_lab\",\n",
     "            \"refs\",\n",
     "            \"refs_to_archived_certs\",\n",
+    "            \"archived_refs_urls\",\n",
     "        ]\n",
     "    ]\n",
     "    df_problematic.to_csv(RESULTS_DIR / \"certs_with_refs_to_archived_on_their_issuance_date.csv\", sep=\";\", index=False)\n",
     "\n",
+    "    return df_problematic\n",
+    "\n",
     "\n",
-    "compute_refs_to_archived_on_issuance_day(cc_df_comp, dset)"
+    "df_problematic = compute_refs_to_archived_on_issuance_day(cc_df_comp, dset)\n",
+    "n_refs_to_archived_when_issued = df_problematic.shape[0]"
    ]
   },
   {
@@ -38590,9 +1381,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 9185/9185 [00:44<00:00, 206.89it/s]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "def compute_certs_referencing_vulnerable_over_time(df__: pd.DataFrame) -> dict:\n",
     "    df = df__.copy()\n",
@@ -38663,7 +1482,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38722,9 +1541,54 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Countplot of sub-component references\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1600x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Countplot of previous version references\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1600x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "def plot_direct_refs_per_category(df__: pd.DataFrame) -> dict:\n",
     "    df = df__.copy().assign(\n",
@@ -38768,18 +1632,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 75,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "def plot_sankey_refs_categories(df__: pd.DataFrame) -> dict:\n",
-    "    df = df__.copy()\n",
+    "    def map_category(cat):\n",
+    "        if cat == SMARTCARD_CATEGORY:\n",
+    "            return \"Smartcards\"\n",
+    "        elif cat in CARD_RELATED_CAT:\n",
+    "            return \"Card-related\"\n",
+    "        else:\n",
+    "            return \"Others\"\n",
+    "\n",
+    "    df = df__.copy().assign(category=lambda df_: df_.category.map(map_category))\n",
     "\n",
     "    cert_id_to_category_mapping = dict(zip(df.cert_id, df.category))\n",
     "    cert_id_to_category_mapping[np.NaN] = \"No references\"\n",
     "\n",
-    "    exploded = df.loc[:, [\"category\", \"refs\"]].explode(\"refs\")\n",
-    "    exploded[\"ref_category\"] = exploded.refs.map(lambda x: cert_id_to_category_mapping[x] if pd.notnull(x) else np.nan)\n",
+    "    exploded = df.loc[:, [\"category\", \"trans_refs\"]].explode(\"trans_refs\")\n",
+    "    exploded[\"ref_category\"] = exploded.trans_refs.map(\n",
+    "        lambda x: cert_id_to_category_mapping[x] if pd.notnull(x) else np.nan\n",
+    "    )\n",
     "    exploded = exploded.loc[exploded.ref_category.notnull()]\n",
     "\n",
     "    exploded_with_refs = exploded.loc[exploded.ref_category != \"No references\"]\n",
@@ -38789,7 +1693,7 @@
     "    color_dict = dict(zip(all_categories, colors))\n",
     "\n",
     "    figure, axes = plt.subplots(1, 1)\n",
-    "    figure.set_size_inches(24, 10)\n",
+    "    figure.set_size_inches(6, 3)\n",
     "    figure.set_tight_layout(True)\n",
     "\n",
     "    plt.figure()\n",
@@ -38821,9 +1725,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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v8uXLZ5566imzZ8+edOeYO3euMcaYxYsXm9q1a6cZCF988cVM1ZSRBg0apNv/yy+/GB8fHzNr1iyTkJBg15eQkGBmzpxpfH19zebNm9OdJ/n93rhxY6r9a9asMd27dze+vr7pzrN06VLj7u5u8ufPb6ZPn25r9/f3NxaLxfYL4HfffZfq9gMHDjTu7u4mNDTU1KhRw1itVrN69Wrz2GOPGYvFYgICAsynn36a4hex1BQvXtw8+OCD5saNG6n2jxs3zlgsFvP888+nOcfTTz9tatasaebNm2dXo8ViMS+99JL54IMPTHBwsBkzZkyG9QAAkNdyrDMyrDF5K8fmhQxrjHNzrDMyrDF5K8c6K8Ma45wcm90Ma4zzcqwzMqwx5FgAdwcWXnNR06ZNMxyTlJRkli5datq1a2fy589vLBaLqVixonnrrbfsgsK2bdvSnefmYDZz5kwzc+ZMU7VqVTNr1iy7cemFjzp16tj9ED5//rzJnz+/XUCNj483derUSbeWBx980DRo0MBMnDjRjB8/3lStWtW8+eabpnjx4qZIkSJm2LBhmfoLd3p/5f/2229NkSJFTMWKFc2uXbvSnSezoTW1cdlpS02FChXM2bNnbY/37NljvLy8TOPGjTMVVm91+fJlM2TIENO8eXMzc+ZM21/DZ82aZapWrZrl+VKT0cJru3btzMqVK9Mds3LlSvP444+nO+bm97t79+6mR48etn83y+gXr169eplatWqZ3bt327WHh4fbjuqZNGlSmkdkVKhQwfz222+2x99++60JCAgw99xzj5k2bVqaATQ1L7zwgpkwYUKK12CMMePHjzcWi8U8++yz6c5Rq1Ytc/r0advja9eumeLFi9sd0XP8+HFTu3btTNcFAEBGXJVjnZFhjclbOTYvZNi02h3Nsc7OsMbkfo51VoY1xjk5NrsZ1hjn5VhnZFhjyLEA7g4svOaizJweVLZsWWO1Wk2hQoXM008/bXf6SWbDVlpjU3v+9MLHreO//vprY7VaTXR0tF1748aN062lYsWKdqeL/PPPPyZ//vymc+fOWTqlKLWQnpiYaAYOHGisVqtp06aNuXDhQobzJJ/CltE/T0/PTG3r6emZqW1Tk9r+DwwMdPj0msuXL5sBAwaYfPny2f4SfvNfxNOzcOHCTD1HRgudmbkUgTHGhIWFpdt/89dwdHS0iY6ONiEhISlOycrML143H+2S7Oav7/j4eBMSEpLm9rcqWbKk2b9/f7rPm55+/fqZqKgo2+N3333XWCyWVMPsrW79flu5cqWxWCxmwYIFdu2NGjVyuD4AAG7lqhzrjAyb2ja5mWPzQoZNa3tHc6yzM6wxuZ9jnZVhjXFOjs1uhk2e41bZybHZybDGkGMB3B3y5fY1Zu9EV65cyfBC7cYYnThxIsO5qlevrlOnTmnQoEHq06ePSpQo4VBNxpgUbRaLJVPj0ur79ttvVaRIEYWHh2epFl9fX3l6etoelylTRoGBgfriiy/k5uaW6XmCg4PtHh8/flyPP/64YmNjNWrUKA0bNixT8xQtWlSNGzdOd4wxRj/99JNTt01NgQIFUrSVK1fObn9J0ogRIzR69OhU55g2bZp69uypRYsWqV+/fvrnn3/07LPPavDgwXJ3d7fV1KlTp3RrmThxotq0aZNhzal9Hd3s1trT4uHhkalxkmz7vGjRomrUqFGmt5P+3cf+/v4p2j/55BO7WpL31a28vLxStFWpUkUBAQF2bd99953atWuXbi0JCQny8PDQBx98oPbt22vWrFk6c+aMBg8erKefflrTp0+3G5caq9X+Hok//PCD8ufPr5YtW9q1Z+V7CwBw98prOdYZGTa1/tzMsXkhwzpj+5s5I8NKeSvH5kSGlRzPsdnNsJLzcqwzMqxEjgVwd2DhNQe0bt1aP//8c7pjxo0bJz8/vwznWr58uY4cOaIZM2aoYcOGuu+++9SzZ089+OCDWaopo8WxzIxzc3PTypUr1axZM/3222/6/vvv1aNHD7sfhAcPHtTly5fTfY78+fOnaCtdunSKH6jPP/+8Pv3000zVHR0drU6dOunatWtaunRplvZPlSpVNGPGjAzHNWnSxKnbpiY+Pl5Hjhyx++UgISEhRdvKlSvTDK0ffvihlixZoh9++EHVq1fXV199pbCwsBTjunXrlm4t0dHRTgk5mb1D8NWrV7M8d2a/rm+W2tefJFWqVMnucWrBNK3nzJcv5Ufp5MmTM1x4feihh/Tzzz/LYrHoyy+/VLNmzbRhwwY99dRTmjlzZopxqbly5Yr++ecflS1bVufOndOcOXPUsmVLu/rj4uJ08eLFdGsBAEDKeznWGRlWyrs5NrcyrDO2v5kzMqyUt3JsTmZYKes5NrsZNq3ndCTHOiPDSuRYAHcHFl5zwB9//KFnnnkmRbsxRhcuXNDWrVv1zz//aPny5Zmaz8/PTyNGjNCIESO0atUqTZ8+XX369FFiYqIOHTqk8uXLa9SoURo5cmSac6QWPowxWQokr776qlq1aqVixYrpzJkz8vLy0muvvSZJunz5sj788EN9+umnevTRR9Od5/z581q7dq1dCEutbdOmTZmqa+zYsRoxYoTuu+8+ffvttyn+YpuRzIae7777LkXbSy+9lKltM3vE64YNG1L8JdsYk+pft9Oya9cu/f3333rrrbc0aNCgVMOUJL344ovpzlO+fHl179493THGGH3++efpjqlataoWLFigjh07pjlmwYIFqlKlSrrzpBbo0wr56bly5YqMMem+7zdu3FBcXFyqfevXr1dgYKBd2/Hjx1Nty8itnxXFihVT/vz5ZbFY7Nr37NmT5hxdu3ZV3bp1FRERoV9//VUXLlzQoEGDJEmJiYnauHGj3nrrLVWtWjXDegAAyGs51hkZVsqbOTY3M6zk3BzrjAwr5a0c66wMKzknx2Y3w0rOy7HOyLASORbA3cFiMjovB1nm6empUqVKpWi3Wq0qXLiwgoOD9dJLL6levXoOP0fyXwRnzZolHx8f/fXXX/r777/THB8QEJDp8HH48OE0x8TGxur777+Xu7u7evTooYoVK0qSLly4oA8++ECS1LZtW9WsWTPNOaxWa4rAcGuISH6cmJiY5jwXLlxQ165dtWTJEnXt2lWffPJJqqc5jRs3Tq+88kqa8zzwwAMZHtmRE9umpmrVqhoyZEi6Y4wxGjdunHbv3p1qf2BgoFatWpXl8H6r9u3b69tvv81wXOvWrbVkyZI0+/fs2aOGDRvaTj0qU6aMre/o0aOaNWuW3nvvPcXGxqb4i/3NMvN1kyy9r5t+/fqpQoUK6tevX5pjxo4dq3/++UeTJ09O0Ve6dOkUpz/dKvm0vKNHj6Y7Lq3PiludOHEi3aMuxo0bpwULFsjd3V39+vXTk08+adsu+f+DBg3Sww8/nOFzAQDubnktxzorw0p5J8fmhQzrjO1v5owMK+WtHOusDCs5J8dmN8NKzsuxzsqwEjkWwJ2Phdcc0KRJE61evTrDcf/973917733Zvv5tmzZoieeeEL79u1Lc4yzFtGcITQ01BZu02KM0YABA7R169Y0xwQGBurQoUMaOHCg+vTpk+Y8nTp1UmxsbJrz+Pv7y2q1qn///ukGmeSjMm6WWohKjdVqVenSpdW8eXO98847aV7jrHfv3vroo48ynK9QoUJpngrn7e2d7l+6k7300kuaOnVqmv0Zhf2sWLx4sTp16qSrV6+qaNGi8vLy0qVLl3T+/Hl5enpq3rx5at26dbpzZDbQv/nmm+l+Lxw5ckQhISHq0KGDunfvrho1asjLy0txcXHavn27pk2bpiVLlmjbtm2pnkaZ2V9SMvM5kNnPivTGpfZ1CQCAo/Jajs1LGVZyTo7NCxlWcm6OdUaGlfJejnVGhpWck2Ozm2El5+VYZ2RYiRwL4O7ApQZywNixYzM1rmvXrhn+wDp//ry++OILSVKrVq1UoUIFu/4xY8ZowIAB6V4rSZJdYD1//rx+++03nT17VsWLF1e9evVUpEgRSUo3sDZp0kQWi0Xjxo1TnTp1UvR//fXXevXVV2W1WtM9+rZ9+/YZXshfUobXxzx37pwaNWqkjRs3qnv37mneVCGjU1wCAwMzFUB69OiRYlxmTmNKdunSJa1du1b9+vXT3LlzUx3zxx9/ZGquatWqpdl37733avbs2RneZCImJibd/oULF6pTp04ZziP9e/OE9DzyyCPavXu3PvzwQ61bt05nzpxR6dKlFR4ern79+mW4vfRvUMzoel6StG7dunT7/fz8tHDhQrVv317Tpk1L0V+iRAktWrQozcAaExOjwMDADH/JycxpeePGjctwTEbjUvu6BADAUXktxzojw0p5K8fmhQwrOTfHOiPDSnkvxzojw0rOybHZzbCS83KsMzKsRI4FcHfgiFcXu3r1qubPn6/p06crNjY23VOiJWnmzJl65pln1Lp1a7333nu2U6KSVatWTV5eXvr555/TvZC6JF27dk0DBgzQtGnTdOPGDVt7vnz59Pzzz+u9995L86LtktSgQQPNmzdP99xzj3777Te7vpvvyNmgQQOtX78+zXkCAgJksVg0a9YsRUREpFtzepz1l9ZixYopNDQ0w3m2bdums2fPOlRDshs3big8PFwbNmxItb9MmTLasmVLuqfu9OnTR1OnTk3za+fmoxfS+/bO6FIOyfslrTn++9//av/+/SpUqFC6F7x35pGzqUlKStLvv/8uq9Wq6tWrZ3q7ixcvaubMmYqNjbX9AtewYUN169ZNhQsXTnO7rL7n6XHGKX5pff1arVYVKVJENWvWVPfu3TmaAACQbbmVY7ObYaW8lWPzQobNSh3J0suxzsiwUt7KsTmdYSXHcqyjGVZyXo511mUqyLEA7gYc8eoiv/32m6ZPn6758+crLi5OJUqUkI+PT4bbLVmyRG+++abt4v+32r17t1566SW9++67ioqKSneuxx57TCtXrtSjjz6qBg0aqGjRojp37pxiY2P1ySefaP/+/Vq6dGma23t6etp+6CXfAXX58uVq2bKlXWDN6JQlf39/2w/8UaNG2Y0fMWJEutve7P3338/UuIxOB5PSD3bp+eSTT7I0Pl++fEpKSkqz32KxqG3btlq5cqUKFSqUor9Pnz6aMmVKhneDnTBhglq2bKk+ffqkOk/y6WvpCQkJSTNQfffdd3rmmWcUFBSk77//Pt15nHXEwcKFC/XFF1/I19dXH3/8sSTp9OnTatKkie1aYaGhoVq+fHmmvrcKFy6sfv362f7anxx8jxw5km7wzeyNLH799dcMr3+3detWPfDAAynasxI207ojsTFG58+f15YtW/TYY49p2rRpql27dqZqBwDgZrmdY7ObYaW8lWPzQoaVnJtjnZFhpbyVY5159pczc6yjGVZyXo51RoaVyLEA7hIGOeb06dPm/fffNzVq1DBWq9W4ubkZHx8fs2DBAnPt2jXz5JNPZjhHgwYNzI0bN9Idc/nyZdOgQYN0x8yfP9+ULVvW7Nq1K9X+HTt2mHvvvdd8/fXXac7RpEmTFG2RkZGp1pyem+eZOXOmmTlzpqlataqZNWtWuttlph5HxqX2GrIzLi2HDx82DRo0MI0aNUpzzMiRI838+fNNq1atTGJiol1fnz59jMViMVFRURk+V3x8vPnwww9NcHCwefvtt83ly5dTjJk6dWq6c2z7//buP6iqMvHj+OdeoCsKCLg5Oq2pQFoOxoWcFTVSa9N11TVnqvXH2oZWjPgjS9MpKjEqdbfW2WLbdRsXx3Eny2Sc0lLbWSxc1BZDyxnMxR9lZUKhLGAhwvP9o693vd6fxAGu8H7NMCPPeX5xvOjnPvec5xw86FHW1NRkFi9ebOx2u5kyZYqpqakJOJfY2FgzduxYM2bMGK9fSUlJxm63m+joaL/93HvvvWbcuHGmuLjYVTZnzhxjt9vN6tWrzdatW824cePMY4895refwsJCM3XqVJOVleUqq6qqcv2e2u12c8stt5hvvvnGa3urXnfGGJOenm5Onjzp8XXixAlTVlZm1q1bZ5xOpyktLfXZR35+fsBxTpw4YaZOnRrUvAEAMCZ0cqwVGdaY0MqxV1uGNSZwjrUqwxoTOjnWqgxrjDU5trUZ1hjrXntWZFhjyLEAugYWXtvAjh07zD333GMcDoex2WwmISHBPPvss+bUqVMtDj5WBapJkyaZnTt3+q2zY8cOM3HixBaN4e0/5ZYEVn99B3IpDAX6iouL89vP559/HtR4wdbzpa6uzuzevdscO3YsYN3Vq1ebBx980PX9ggULWhRYL/n+++/NH//4RzN06FCzcuVKU1dX1+J5X3L69GmTkZFhwsLCTF5eXtDt/P3dbtmyxfTs2dPccMMNPt9QXZKWluY2//r6etOjRw8zY8YMV1lNTY255ZZb/PbT2uDbrVs3M3DgwIBfkZGRfudhTPuGzTvuuKPVfQAAOr9Qy7FWZFhfY3RUjr3aMqwxwedYqzKsMR2fY63KsMZYk2OtWLy1Kse294IpORbA1YytBtrAhAkTFB4ermnTpikzM1Njx451HQv29o5LTJC3DwXaY+uLL77QuHHj/NYZP36836dttnTuvnj7mbz1/corryg7O7vFfbWUvw3of0w9X3r06BHwYQyXnuy5dOlSZWdn67nnnlNlZaXy8/OVk5Oj5cuXu9ULxOFwaOHChcrKytJf/vIXjRgxQjNmzNCCBQu83rrly+7duzV9+nRduHBB27dv1/jx44Nu6+02uebmZi1dulRr1qzR5MmTtWHDhoB7UsXExLjN+Z///Ke+++47zZw502cdbyoqKvTBBx+46p0/f16bNm3StGnTXPt4jR071uvtU5IUGxsb8O/RGBPUw7XmzZsXsM6AAQP87qEbrED/RgAAIIVejrUiw0qhl2OvpgwrBc6xVmdYqeNzrFUZVrImx7Y2w0rW5dj2zLASORbA1Y2F1zbw97//XX/729/08ccf6+OPP1ZKSori4+N/VF+RkZEqLy/XTTfd5LNOeXm5IiMj/fYTTCAIVM/bXj4HDx70KLu0T5EvwQbfN998029gdTqdQT+Y4Gpx+ZM98/PzNWXKFL3zzjt64oknlJeX57VeMBwOh0aOHKm3335bOTk5io+P10MPPRRU25UrV+rpp5/W0KFDtWXLFg0cOLBFP1NKSorb919//bXuvfdelZSUaMWKFXryySdb1N8lW7duVWRkpO644w63crvd7rdda4Ovr72ormTl685f2Dx//ry6d+/ut70xRmfOnLFsPgCAzivUcqwVGVYKrRxLhm3ZQ5k6Kse2VYaVflyOtWLxtr1zbKAFU3IsgK6Ahdc2MH36dE2fPl0nT55UQUGB0tPTlZqaqtmzZ7ttSN/Q0CCHw+G3r+zsbE2ePFkbN25Uenq6x/H9+/dr1qxZATffDwsLC2rugepd+el8SkpKiz+xDzb4Hjx40G8/GzZsCGq8YOuFgivPTV1dnSIiIlRSUuJWHujcXK60tFS5ubl69913FRcXp2eeeUYzZswI2K6mpkazZs3Stm3bNGvWLK1du1bdunXzqNeSJ7625srZxsZGffLJJxo6dKhOnDihTZs26a677nL7HaqqqlJtbW3QfUotD77BvuEqLCwMWMeKsDlp0qSAb2B+97vfWXK1CwCg8wu1HGtVhpVCJ8eSYYMXKjm2NRlWapsc+2MWb63KsVYtmJJjAXQFLLy2oQEDBmjFihXKzc3Ve++9p3Xr1unQoUPKy8tTZmam7rvvvoD/0UyePFlFRUUaOXKkbrjhBiUnJysqKkp1dXU6fPiwKioqtHTpUv3yl7/024+vJ09eyV8YCvbT+REjRgSsY0Xwbc/bq9rT5eehR48eGjFixI+6He3AgQPKzc3VO++8o7i4OOXl5WnhwoWKiooKqn1qaqo+++wzLVmyRPPnz1dlZaXXuW7dujWowNraK2fnz5+v9PR0JScn68iRI2pqatKyZcsk/fDmr7CwUGvWrFFaWprfftpqAfdKcXFxAetYETbLy8s1e/Zsj3JjjGpqalRWVqYvv/xSO3fuDDxpAAD+X6jkWCsyrBRaOZYMG1go5djWZljJmhzbXhlWCpxjrVowJccC6ApsxooNhhC06upqbdy4UevXr9enn36q+vr6oNq99tpr+v3vf69Dhw7JGCObzaa0tDQtW7ZMd999d8D2cXFxcjqdAesdOnRI1dXVXo+dOnUqqAD4+eef6/rrr/d5fOzYsUHfXhVMvc7EinPz0UcfKTc3V9u3b1d8fLweffRRLViwwCOorl27VllZWT7HuPw1Y7PZfAZnf68ZydorDt544w1t3rxZERERmjt3rjIyMiRJ3377rZYsWSJJeuCBBzRq1CiffWzatElz5sxxBd8LFy7oww8/1NChQ92Cr9Pp1F//+leP9gMGDJDdbteiRYu0cOFCv/MNpG/fvpowYYJHubew6euWr8jISPXp08ej3G63KyYmRikpKZo7d66GDx/eqrkCANAROdaKDCuRY9uaVecllHKs1VfNtjbHtjbDStblWCsyrESOBdA1sPDagTIyMlRcXNyiNufPn9e5c+cUFxcXcF/Xy4VSSAw2+AZbrzOx4tzY7XY5HA7df//9XoOq9EMomj59ukpKSnyOYdVrJiEhQZ999pkWL16s+fPne60TzHysZMUCrhWsCJtd7Y0dACA0tFeODaUMK5FjfbHqvIRSjiXD+mbVgik5FkBXwMJrBzp79mxQtyNbgZDYdVh1peqhQ4c8HirwY+pZNZ/OyIqwuW/fPq/75gEA0JbaK8eSYbuWUMqxZFjfrFowJccC6ApYeAU6mVC7MiTU5hNKCJsAAAD/E0q5MZTmEmrIsAAQPBZegU4m2E/42+vKEKuunAUAAEDnFko5lgwLALACC68AAAAAAAAAYDF7R08AAAAAAAAAADobFl4BAAAAAAAAwGIsvAIAAAAAAACAxVh4BQAAAAAAAACLsfAKAAAAAAAAABYL7+gJAKGsoqJCL7zwgvbu3Subzab//ve/iomJ0ejRo/WrX/1Kt912myIiIoLub/369ZKk+++/v20mDAAAAIgcCwBAKOCKV8CHwsJCpaamavDgwfrwww918OBBHT9+XBs3btTevXv185//XNu3b29Rn+vXr3eFVgAAAKAtkGMBAAgNLLwCXhw+fFgzZ87Uww8/rEceeUQOh8N1LDk5Wdu2bVNkZGQHzhAAAADwRI4FACB0sPAKeJGXl6eGhgYtWLDA6/HevXtr+fLl+ulPfypJevXVV5WRkaFhw4YpJSVFt956q3bt2uWqX1tbK6fTqdLSUpWWlsrpdMrpdGrVqlWuOp9++qnuuusu9e/fX0lJScrIyFBRUZHH2G+++aZuuukm9evXTz/72c/0yiuvaMyYMYqKipLT6dSxY8dcdf/0pz8pOTlZgwcPVv/+/fXAAw+osrLSdfyxxx5TUlKSbDabCgsL9dvf/lbDhg1TRESEoqKilJCQIJvNpsTEROXk5EiSjh07JqfTqfDwcN18882qra1t3ckGAACAZcix5FgAQAgxANw0NTWZ6Ohok5CQEHSbG2+80bz11luu74uKikz37t3NgQMH3OqNHj3ajB492qP98ePHTXx8vJk2bZppbGw0xhjz0ksvmYiICFNcXOyqt3v3bmOz2UxeXp4xxpjm5mbz6KOPmu7du3v0u3jxYhMTE2P27dtnjDGmtrbWjBkzxgwaNMjU1NS4zVWSSUtLM0ePHjXGGFNQUGCmTJlivvrqKxMWFmaefPJJt76PHDlikpOTgz4/AAAAaHvkWHIsACC0sPAKXOHMmTNGkhkxYkTQbcrLyz3Khg8fbubOnetW5iuw3nfffSYsLMx89dVXrrLm5maTmJhobr/9dldZRkaG6dOnj7l48aKrrL6+3kRHR7v1W1FRYex2u1m0aJHbOAcOHDCSzIoVK1xllwLr888/7yr7/vvvzRdffGGMMWbixImmX79+pqmpyXV82bJl5sUXX/R1OgAAANAByLHkWABAaGG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+      "text/plain": [
+       "<Figure size 1400x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "def plot_refs_per_scheme(df__: pd.DataFrame) -> dict:\n",
     "    df = df__.copy().assign(\n",
@@ -38865,9 +1799,53 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 9185/9185 [00:42<00:00, 218.30it/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of certificates that reference some archived certificate: 976\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 1400x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "def compute_certs_referencing_archived_ones(df__: pd.DataFrame) -> dict:\n",
     "    df = df__.copy()\n",
@@ -38924,9 +1902,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "RuntimeError",
+     "evalue": "'xelatex' not found; install it or change rcParams['pgf.texsystem'] to an available TeX implementation",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/backends/backend_pgf.py:262\u001b[0m, in \u001b[0;36mLatexManager._setup_latex_process\u001b[0;34m(self, expect_reply)\u001b[0m\n\u001b[1;32m    261\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 262\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlatex \u001b[38;5;241m=\u001b[39m \u001b[43msubprocess\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    263\u001b[0m \u001b[43m        \u001b[49m\u001b[43m[\u001b[49m\u001b[43mmpl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrcParams\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpgf.texsystem\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m-halt-on-error\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    264\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstdin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msubprocess\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPIPE\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstdout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msubprocess\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPIPE\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    265\u001b[0m \u001b[43m        \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mutf-8\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtmpdir\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    266\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/.pyenv/versions/3.11.6/lib/python3.11/subprocess.py:1026\u001b[0m, in \u001b[0;36mPopen.__init__\u001b[0;34m(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, user, group, extra_groups, encoding, errors, text, umask, pipesize, process_group)\u001b[0m\n\u001b[1;32m   1023\u001b[0m             \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr \u001b[38;5;241m=\u001b[39m io\u001b[38;5;241m.\u001b[39mTextIOWrapper(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr,\n\u001b[1;32m   1024\u001b[0m                     encoding\u001b[38;5;241m=\u001b[39mencoding, errors\u001b[38;5;241m=\u001b[39merrors)\n\u001b[0;32m-> 1026\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_execute_child\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexecutable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreexec_fn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclose_fds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1027\u001b[0m \u001b[43m                        \u001b[49m\u001b[43mpass_fds\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcwd\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43menv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1028\u001b[0m \u001b[43m                        \u001b[49m\u001b[43mstartupinfo\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreationflags\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshell\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1029\u001b[0m \u001b[43m                        \u001b[49m\u001b[43mp2cread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mp2cwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1030\u001b[0m \u001b[43m                        \u001b[49m\u001b[43mc2pread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc2pwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1031\u001b[0m \u001b[43m                        \u001b[49m\u001b[43merrread\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrwrite\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1032\u001b[0m \u001b[43m                        \u001b[49m\u001b[43mrestore_signals\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1033\u001b[0m \u001b[43m                        \u001b[49m\u001b[43mgid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgids\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muid\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mumask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1034\u001b[0m \u001b[43m                        \u001b[49m\u001b[43mstart_new_session\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprocess_group\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1035\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m   1036\u001b[0m     \u001b[38;5;66;03m# Cleanup if the child failed starting.\u001b[39;00m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/.pyenv/versions/3.11.6/lib/python3.11/subprocess.py:1950\u001b[0m, in \u001b[0;36mPopen._execute_child\u001b[0;34m(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, restore_signals, gid, gids, uid, umask, start_new_session, process_group)\u001b[0m\n\u001b[1;32m   1949\u001b[0m         err_msg \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mstrerror(errno_num)\n\u001b[0;32m-> 1950\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m child_exception_type(errno_num, err_msg, err_filename)\n\u001b[1;32m   1951\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m child_exception_type(err_msg)\n",
+      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'xelatex'",
+      "\nThe above exception was the direct cause of the following exception:\n",
+      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[17], line 37\u001b[0m\n\u001b[1;32m     32\u001b[0m     plt\u001b[38;5;241m.\u001b[39mshow()\n\u001b[1;32m     34\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m {}\n\u001b[0;32m---> 37\u001b[0m \u001b[43mplot_sankey_refs_schemes\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcc_df\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[17], line 31\u001b[0m, in \u001b[0;36mplot_sankey_refs_schemes\u001b[0;34m(df__)\u001b[0m\n\u001b[1;32m     20\u001b[0m sankey(\n\u001b[1;32m     21\u001b[0m     exploded\u001b[38;5;241m.\u001b[39mscheme,\n\u001b[1;32m     22\u001b[0m     exploded\u001b[38;5;241m.\u001b[39mref_scheme,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     27\u001b[0m     ax\u001b[38;5;241m=\u001b[39maxes,\n\u001b[1;32m     28\u001b[0m )\n\u001b[1;32m     30\u001b[0m figure\u001b[38;5;241m.\u001b[39msavefig(\u001b[38;5;28mstr\u001b[39m(RESULTS_DIR \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mscheme_references.pdf\u001b[39m\u001b[38;5;124m\"\u001b[39m), bbox_inches\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtight\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 31\u001b[0m \u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mRESULTS_DIR\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mscheme_references.pgf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbbox_inches\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtight\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m     32\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n\u001b[1;32m     34\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m {}\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/figure.py:3390\u001b[0m, in \u001b[0;36mFigure.savefig\u001b[0;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[1;32m   3388\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes:\n\u001b[1;32m   3389\u001b[0m         _recursively_make_axes_transparent(stack, ax)\n\u001b[0;32m-> 3390\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprint_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/backend_bases.py:2164\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[1;32m   2161\u001b[0m     \u001b[38;5;66;03m# we do this instead of `self.figure.draw_without_rendering`\u001b[39;00m\n\u001b[1;32m   2162\u001b[0m     \u001b[38;5;66;03m# so that we can inject the orientation\u001b[39;00m\n\u001b[1;32m   2163\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(renderer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_draw_disabled\u001b[39m\u001b[38;5;124m\"\u001b[39m, nullcontext)():\n\u001b[0;32m-> 2164\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2165\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bbox_inches:\n\u001b[1;32m   2166\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m bbox_inches \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtight\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/artist.py:95\u001b[0m, in \u001b[0;36m_finalize_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     93\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(draw)\n\u001b[1;32m     94\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdraw_wrapper\u001b[39m(artist, renderer, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 95\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     96\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m renderer\u001b[38;5;241m.\u001b[39m_rasterizing:\n\u001b[1;32m     97\u001b[0m         renderer\u001b[38;5;241m.\u001b[39mstop_rasterizing()\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/artist.py:72\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer)\u001b[0m\n\u001b[1;32m     69\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m artist\u001b[38;5;241m.\u001b[39mget_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     70\u001b[0m         renderer\u001b[38;5;241m.\u001b[39mstart_filter()\n\u001b[0;32m---> 72\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     73\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m     74\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m artist\u001b[38;5;241m.\u001b[39mget_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/figure.py:3148\u001b[0m, in \u001b[0;36mFigure.draw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   3146\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_layout_engine() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   3147\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3148\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_layout_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3149\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m   3150\u001b[0m         \u001b[38;5;28;01mpass\u001b[39;00m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/layout_engine.py:183\u001b[0m, in \u001b[0;36mTightLayoutEngine.execute\u001b[0;34m(self, fig)\u001b[0m\n\u001b[1;32m    181\u001b[0m renderer \u001b[38;5;241m=\u001b[39m fig\u001b[38;5;241m.\u001b[39m_get_renderer()\n\u001b[1;32m    182\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(renderer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_draw_disabled\u001b[39m\u001b[38;5;124m\"\u001b[39m, nullcontext)():\n\u001b[0;32m--> 183\u001b[0m     kwargs \u001b[38;5;241m=\u001b[39m \u001b[43mget_tight_layout_figure\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    184\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maxes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mget_subplotspec_list\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maxes\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    185\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mpad\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mh_pad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mh_pad\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mw_pad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mw_pad\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    186\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minfo\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrect\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    187\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kwargs:\n\u001b[1;32m    188\u001b[0m     fig\u001b[38;5;241m.\u001b[39msubplots_adjust(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/_tight_layout.py:266\u001b[0m, in \u001b[0;36mget_tight_layout_figure\u001b[0;34m(fig, axes_list, subplotspec_list, renderer, pad, h_pad, w_pad, rect)\u001b[0m\n\u001b[1;32m    261\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m {}\n\u001b[1;32m    262\u001b[0m     span_pairs\u001b[38;5;241m.\u001b[39mappend((\n\u001b[1;32m    263\u001b[0m         \u001b[38;5;28mslice\u001b[39m(ss\u001b[38;5;241m.\u001b[39mrowspan\u001b[38;5;241m.\u001b[39mstart \u001b[38;5;241m*\u001b[39m div_row, ss\u001b[38;5;241m.\u001b[39mrowspan\u001b[38;5;241m.\u001b[39mstop \u001b[38;5;241m*\u001b[39m div_row),\n\u001b[1;32m    264\u001b[0m         \u001b[38;5;28mslice\u001b[39m(ss\u001b[38;5;241m.\u001b[39mcolspan\u001b[38;5;241m.\u001b[39mstart \u001b[38;5;241m*\u001b[39m div_col, ss\u001b[38;5;241m.\u001b[39mcolspan\u001b[38;5;241m.\u001b[39mstop \u001b[38;5;241m*\u001b[39m div_col)))\n\u001b[0;32m--> 266\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[43m_auto_adjust_subplotpars\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfig\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    267\u001b[0m \u001b[43m                                  \u001b[49m\u001b[43mshape\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mmax_nrows\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_ncols\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    268\u001b[0m \u001b[43m                                  \u001b[49m\u001b[43mspan_pairs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mspan_pairs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    269\u001b[0m \u001b[43m                                  \u001b[49m\u001b[43msubplot_list\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msubplot_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    270\u001b[0m \u001b[43m                                  \u001b[49m\u001b[43max_bbox_list\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43max_bbox_list\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    271\u001b[0m \u001b[43m                                  \u001b[49m\u001b[43mpad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpad\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mh_pad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mh_pad\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mw_pad\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mw_pad\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    273\u001b[0m \u001b[38;5;66;03m# kwargs can be none if tight_layout fails...\u001b[39;00m\n\u001b[1;32m    274\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m rect \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m kwargs \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    275\u001b[0m     \u001b[38;5;66;03m# if rect is given, the whole subplots area (including\u001b[39;00m\n\u001b[1;32m    276\u001b[0m     \u001b[38;5;66;03m# labels) will fit into the rect instead of the\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    280\u001b[0m     \u001b[38;5;66;03m# auto_adjust_subplotpars twice, where the second run\u001b[39;00m\n\u001b[1;32m    281\u001b[0m     \u001b[38;5;66;03m# with adjusted rect parameters.\u001b[39;00m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/_tight_layout.py:82\u001b[0m, in \u001b[0;36m_auto_adjust_subplotpars\u001b[0;34m(fig, renderer, shape, span_pairs, subplot_list, ax_bbox_list, pad, h_pad, w_pad, rect)\u001b[0m\n\u001b[1;32m     80\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m subplots:\n\u001b[1;32m     81\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ax\u001b[38;5;241m.\u001b[39mget_visible():\n\u001b[0;32m---> 82\u001b[0m         bb \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [\u001b[43mmartist\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_tightbbox_for_layout_only\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m]\n\u001b[1;32m     84\u001b[0m tight_bbox_raw \u001b[38;5;241m=\u001b[39m Bbox\u001b[38;5;241m.\u001b[39munion(bb)\n\u001b[1;32m     85\u001b[0m tight_bbox \u001b[38;5;241m=\u001b[39m fig\u001b[38;5;241m.\u001b[39mtransFigure\u001b[38;5;241m.\u001b[39minverted()\u001b[38;5;241m.\u001b[39mtransform_bbox(tight_bbox_raw)\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/artist.py:1411\u001b[0m, in \u001b[0;36m_get_tightbbox_for_layout_only\u001b[0;34m(obj, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1405\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1406\u001b[0m \u001b[38;5;124;03mMatplotlib's `.Axes.get_tightbbox` and `.Axis.get_tightbbox` support a\u001b[39;00m\n\u001b[1;32m   1407\u001b[0m \u001b[38;5;124;03m*for_layout_only* kwarg; this helper tries to use the kwarg but skips it\u001b[39;00m\n\u001b[1;32m   1408\u001b[0m \u001b[38;5;124;03mwhen encountering third-party subclasses that do not support it.\u001b[39;00m\n\u001b[1;32m   1409\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1410\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1411\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_tightbbox\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m{\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfor_layout_only\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1412\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m   1413\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m obj\u001b[38;5;241m.\u001b[39mget_tightbbox(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/_api/deprecation.py:454\u001b[0m, in \u001b[0;36mmake_keyword_only.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    448\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m name_idx:\n\u001b[1;32m    449\u001b[0m     warn_deprecated(\n\u001b[1;32m    450\u001b[0m         since, message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPassing the \u001b[39m\u001b[38;5;132;01m%(name)s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m%(obj_type)s\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    451\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpositionally is deprecated since Matplotlib \u001b[39m\u001b[38;5;132;01m%(since)s\u001b[39;00m\u001b[38;5;124m; the \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    452\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter will become keyword-only \u001b[39m\u001b[38;5;132;01m%(removal)s\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    453\u001b[0m         name\u001b[38;5;241m=\u001b[39mname, obj_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mparameter of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m()\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 454\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/axes/_base.py:4418\u001b[0m, in \u001b[0;36m_AxesBase.get_tightbbox\u001b[0;34m(self, renderer, call_axes_locator, bbox_extra_artists, for_layout_only)\u001b[0m\n\u001b[1;32m   4415\u001b[0m     bbox_artists \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_default_bbox_extra_artists()\n\u001b[1;32m   4417\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m bbox_artists:\n\u001b[0;32m-> 4418\u001b[0m     bbox \u001b[38;5;241m=\u001b[39m \u001b[43ma\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_tightbbox\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   4419\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m (bbox \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   4420\u001b[0m             \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;241m0\u001b[39m \u001b[38;5;241m<\u001b[39m bbox\u001b[38;5;241m.\u001b[39mwidth \u001b[38;5;241m<\u001b[39m np\u001b[38;5;241m.\u001b[39minf\n\u001b[1;32m   4421\u001b[0m             \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;241m0\u001b[39m \u001b[38;5;241m<\u001b[39m bbox\u001b[38;5;241m.\u001b[39mheight \u001b[38;5;241m<\u001b[39m np\u001b[38;5;241m.\u001b[39minf):\n\u001b[1;32m   4422\u001b[0m         bb\u001b[38;5;241m.\u001b[39mappend(bbox)\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/artist.py:366\u001b[0m, in \u001b[0;36mArtist.get_tightbbox\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    350\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_tightbbox\u001b[39m(\u001b[38;5;28mself\u001b[39m, renderer\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m    351\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    352\u001b[0m \u001b[38;5;124;03m    Like `.Artist.get_window_extent`, but includes any clipping.\u001b[39;00m\n\u001b[1;32m    353\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    364\u001b[0m \u001b[38;5;124;03m        Returns None if clipping results in no intersection.\u001b[39;00m\n\u001b[1;32m    365\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 366\u001b[0m     bbox \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_window_extent\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    367\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_clip_on():\n\u001b[1;32m    368\u001b[0m         clip_box \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_clip_box()\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/text.py:956\u001b[0m, in \u001b[0;36mText.get_window_extent\u001b[0;34m(self, renderer, dpi)\u001b[0m\n\u001b[1;32m    951\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    952\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot get window extent of text w/o renderer. You likely \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    953\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwant to call \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfigure.draw_without_rendering()\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m first.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    955\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m cbook\u001b[38;5;241m.\u001b[39m_setattr_cm(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure, dpi\u001b[38;5;241m=\u001b[39mdpi):\n\u001b[0;32m--> 956\u001b[0m     bbox, info, descent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_layout\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_renderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    957\u001b[0m     x, y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_unitless_position()\n\u001b[1;32m    958\u001b[0m     x, y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_transform()\u001b[38;5;241m.\u001b[39mtransform((x, y))\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/text.py:373\u001b[0m, in \u001b[0;36mText._get_layout\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    370\u001b[0m ys \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m    372\u001b[0m \u001b[38;5;66;03m# Full vertical extent of font, including ascenders and descenders:\u001b[39;00m\n\u001b[0;32m--> 373\u001b[0m _, lp_h, lp_d \u001b[38;5;241m=\u001b[39m \u001b[43m_get_text_metrics_with_cache\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    374\u001b[0m \u001b[43m    \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mlp\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fontproperties\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    375\u001b[0m \u001b[43m    \u001b[49m\u001b[43mismath\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTeX\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_usetex\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdpi\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    376\u001b[0m min_dy \u001b[38;5;241m=\u001b[39m (lp_h \u001b[38;5;241m-\u001b[39m lp_d) \u001b[38;5;241m*\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_linespacing\n\u001b[1;32m    378\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, line \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(lines):\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/text.py:69\u001b[0m, in \u001b[0;36m_get_text_metrics_with_cache\u001b[0;34m(renderer, text, fontprop, ismath, dpi)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Call ``renderer.get_text_width_height_descent``, caching the results.\"\"\"\u001b[39;00m\n\u001b[1;32m     67\u001b[0m \u001b[38;5;66;03m# Cached based on a copy of fontprop so that later in-place mutations of\u001b[39;00m\n\u001b[1;32m     68\u001b[0m \u001b[38;5;66;03m# the passed-in argument do not mess up the cache.\u001b[39;00m\n\u001b[0;32m---> 69\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_get_text_metrics_with_cache_impl\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     70\u001b[0m \u001b[43m    \u001b[49m\u001b[43mweakref\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mref\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfontprop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mismath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/text.py:77\u001b[0m, in \u001b[0;36m_get_text_metrics_with_cache_impl\u001b[0;34m(renderer_ref, text, fontprop, ismath, dpi)\u001b[0m\n\u001b[1;32m     73\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mlru_cache(\u001b[38;5;241m4096\u001b[39m)\n\u001b[1;32m     74\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_get_text_metrics_with_cache_impl\u001b[39m(\n\u001b[1;32m     75\u001b[0m         renderer_ref, text, fontprop, ismath, dpi):\n\u001b[1;32m     76\u001b[0m     \u001b[38;5;66;03m# dpi is unused, but participates in cache invalidation (via the renderer).\u001b[39;00m\n\u001b[0;32m---> 77\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrenderer_ref\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_text_width_height_descent\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtext\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfontprop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mismath\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/backends/backend_pgf.py:703\u001b[0m, in \u001b[0;36mRendererPgf.get_text_width_height_descent\u001b[0;34m(self, s, prop, ismath)\u001b[0m\n\u001b[1;32m    700\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_text_width_height_descent\u001b[39m(\u001b[38;5;28mself\u001b[39m, s, prop, ismath):\n\u001b[1;32m    701\u001b[0m     \u001b[38;5;66;03m# docstring inherited\u001b[39;00m\n\u001b[1;32m    702\u001b[0m     \u001b[38;5;66;03m# get text metrics in units of latex pt, convert to display units\u001b[39;00m\n\u001b[0;32m--> 703\u001b[0m     w, h, d \u001b[38;5;241m=\u001b[39m (\u001b[43mLatexManager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_cached_or_new\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    704\u001b[0m                \u001b[38;5;241m.\u001b[39mget_width_height_descent(s, prop))\n\u001b[1;32m    705\u001b[0m     \u001b[38;5;66;03m# TODO: this should be latex_pt_to_in instead of mpl_pt_to_in\u001b[39;00m\n\u001b[1;32m    706\u001b[0m     \u001b[38;5;66;03m# but having a little bit more space around the text looks better,\u001b[39;00m\n\u001b[1;32m    707\u001b[0m     \u001b[38;5;66;03m# plus the bounding box reported by LaTeX is VERY narrow\u001b[39;00m\n\u001b[1;32m    708\u001b[0m     f \u001b[38;5;241m=\u001b[39m mpl_pt_to_in \u001b[38;5;241m*\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdpi\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/backends/backend_pgf.py:206\u001b[0m, in \u001b[0;36mLatexManager._get_cached_or_new\u001b[0;34m(cls)\u001b[0m\n\u001b[1;32m    200\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m    201\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_get_cached_or_new\u001b[39m(\u001b[38;5;28mcls\u001b[39m):\n\u001b[1;32m    202\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    203\u001b[0m \u001b[38;5;124;03m    Return the previous LatexManager if the header and tex system did not\u001b[39;00m\n\u001b[1;32m    204\u001b[0m \u001b[38;5;124;03m    change, or a new instance otherwise.\u001b[39;00m\n\u001b[1;32m    205\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 206\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_cached_or_new_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_build_latex_header\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/backends/backend_pgf.py:211\u001b[0m, in \u001b[0;36mLatexManager._get_cached_or_new_impl\u001b[0;34m(cls, header)\u001b[0m\n\u001b[1;32m    208\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m    209\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mlru_cache(\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m    210\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_get_cached_or_new_impl\u001b[39m(\u001b[38;5;28mcls\u001b[39m, header):  \u001b[38;5;66;03m# Helper for _get_cached_or_new.\u001b[39;00m\n\u001b[0;32m--> 211\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/backends/backend_pgf.py:244\u001b[0m, in \u001b[0;36mLatexManager.__init__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    241\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_finalize_tmpdir \u001b[38;5;241m=\u001b[39m weakref\u001b[38;5;241m.\u001b[39mfinalize(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_tmpdir\u001b[38;5;241m.\u001b[39mcleanup)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;66;03m# test the LaTeX setup to ensure a clean startup of the subprocess\u001b[39;00m\n\u001b[0;32m--> 244\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_setup_latex_process\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexpect_reply\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m    245\u001b[0m stdout, stderr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlatex\u001b[38;5;241m.\u001b[39mcommunicate(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124mmakeatletter\u001b[39m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124m@@end\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    246\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlatex\u001b[38;5;241m.\u001b[39mreturncode \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
+      "File \u001b[0;32m/var/tmp/xjanovsk/certs/sec-certs/venv/lib/python3.11/site-packages/matplotlib/backends/backend_pgf.py:267\u001b[0m, in \u001b[0;36mLatexManager._setup_latex_process\u001b[0;34m(self, expect_reply)\u001b[0m\n\u001b[1;32m    262\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlatex \u001b[38;5;241m=\u001b[39m subprocess\u001b[38;5;241m.\u001b[39mPopen(\n\u001b[1;32m    263\u001b[0m         [mpl\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpgf.texsystem\u001b[39m\u001b[38;5;124m\"\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-halt-on-error\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[1;32m    264\u001b[0m         stdin\u001b[38;5;241m=\u001b[39msubprocess\u001b[38;5;241m.\u001b[39mPIPE, stdout\u001b[38;5;241m=\u001b[39msubprocess\u001b[38;5;241m.\u001b[39mPIPE,\n\u001b[1;32m    265\u001b[0m         encoding\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m, cwd\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtmpdir)\n\u001b[1;32m    266\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[0;32m--> 267\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    268\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmpl\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpgf.texsystem\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m not found; install it or change \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    269\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrcParams[\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpgf.texsystem\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m] to an available TeX implementation\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    270\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m    271\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m    272\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    273\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError starting \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmpl\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpgf.texsystem\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n",
+      "\u001b[0;31mRuntimeError\u001b[0m: 'xelatex' not found; install it or change rcParams['pgf.texsystem'] to an available TeX implementation"
+     ]
+    },
+    {
+     "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 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "def plot_sankey_refs_schemes(df__: pd.DataFrame) -> dict:\n",
     "    cert_id_to_scheme_mapping = dict(zip(df__.cert_id, df__.scheme))\n",
@@ -39171,26 +2208,114 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\\newcommand{\\numAnnotIrrelevant}{6}\n",
+      "\\newcommand{\\percentageAnnotIrrelevant}{$1.5\\%$}\n",
+      "\\newcommand{\\correctedPredPercentage}{$90\\%$}\n",
+      "\\newcommand{\\numcccerts}{5394}\n",
+      "\\newcommand{\\refRichTotal}{1659}\n",
+      "\\newcommand{\\refRichPercentage}{$30.76\\%$}\n",
+      "\\newcommand{\\numRefsTotal}{2712}\n",
+      "\\newcommand{\\compReuseRatio}{$77.32\\%$}\n",
+      "\\newcommand{\\predRatio}{$22.68\\%$}\n",
+      "\n",
+      "\\newcommand{\\refRichSmartcard}{1295}\n",
+      "\\newcommand{\\refRichSmartcardPercentage}{$74.08\\%$}\n",
+      "\\newcommand{\\refRichSmartcardComp}{1080}\n",
+      "\\newcommand{\\refRichSmartcardCompPercentage}{$61.78\\%$}\n",
+      "\\newcommand{\\refRichSmartcardPred}{390}\n",
+      "\\newcommand{\\refRichSmartcardPredPercentage}{$22.31\\%$}\n",
+      "\n",
+      "\\newcommand{\\refRichRelated}{215}\n",
+      "\\newcommand{\\refRichRelatedPercentage}{$18.57\\%$}\n",
+      "\\newcommand{\\refRichRelatedComp}{138}\n",
+      "\\newcommand{\\refRichRelatedCompPercentage}{$11.92\\%$}\n",
+      "\\newcommand{\\refRichRelatedPred}{123}\n",
+      "\\newcommand{\\refRichRelatedPredPercentage}{$10.62\\%$}\n",
+      "\n",
+      "\\newcommand{\\refRichOthers}{149}\n",
+      "\\newcommand{\\refRichOthersPercentage}{$5.99\\%$}\n",
+      "\\newcommand{\\refRichOthersComp}{69}\n",
+      "\\newcommand{\\refRichOthersCompPercentage}{$2.77\\%$}\n",
+      "\\newcommand{\\refRichOthersPred}{90}\n",
+      "\\newcommand{\\refRichOthersPredPercentage}{$3.62\\%$}\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
-    "# TODO: These are old commands that belonged to first paper. Replace them with code that can produce the similar numbers.\n",
-    "# print(f\"\\\\newcommand{{\\\\numCcAllDirectReferencing}}{{{df.has_outgoing_direct_references.sum()}}}\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCcAllNotDirectReferencing}}{{{len(df) - df.has_outgoing_direct_references.sum()}}}\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCcWithIdDirectReferencing}}{{{df_id_rich.has_outgoing_direct_references.sum()}}}\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCcWithIdNotDirectReferencing}}{{{len(df_id_rich) - df_id_rich.has_outgoing_direct_references.sum()}}}\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCCActiveDirectReferencing}}{{{df_id_rich.loc[df_id_rich.status == 'active'].has_outgoing_direct_references.sum()}}}\")\n",
+    "def print_category_commands(category: Literal[\"smartcard\", \"related\", \"others\"]) -> None:\n",
+    "    if category == \"smartcard\":\n",
+    "        categories = {SMARTCARD_CATEGORY}\n",
+    "    elif category == \"related\":\n",
+    "        categories = CARD_RELATED_CAT\n",
+    "    elif category == \"others\":\n",
+    "        categories = OTHERS_CAT\n",
+    "    else:\n",
+    "        raise ValueError(f\"Unknown category {category}\")\n",
+    "\n",
+    "    cc_df_cat = cc_df.loc[cc_df.category.isin(categories)]\n",
+    "    cc_df_cat_comp = cc_df_comp.loc[cc_df_comp.category.isin(categories)]\n",
+    "    cc_df_cat_prev = cc_df_prev.loc[cc_df_prev.category.isin(categories)]\n",
+    "\n",
+    "    ref_rich = cc_df_cat.loc[cc_df_cat.n_refs > 0].shape[0]\n",
+    "    ref_rich_ratio = 100 * cc_df_cat.loc[cc_df_cat.n_refs > 0].shape[0] / cc_df_cat.shape[0]\n",
+    "    ref_rich_comp = cc_df_cat_comp.loc[cc_df_cat_comp.n_refs > 0].shape[0]\n",
+    "    ref_rich_comp_ratio = 100 * cc_df_cat_comp.loc[cc_df_cat_comp.n_refs > 0].shape[0] / cc_df_cat_comp.shape[0]\n",
+    "    ref_rich_pred = cc_df_cat_prev.loc[cc_df_cat_prev.n_refs > 0].shape[0]\n",
+    "    ref_rich_pred_ratio = 100 * cc_df_cat_prev.loc[cc_df_cat_prev.n_refs > 0].shape[0] / cc_df_cat_prev.shape[0]\n",
+    "\n",
+    "    print(f\"\\\\newcommand{{\\\\refRich{category.capitalize()}}}{{{ref_rich}}}\")\n",
+    "    print(f\"\\\\newcommand{{\\\\refRich{category.capitalize()}Percentage}}{{${ref_rich_ratio:.2f}\\%$}}\")\n",
+    "\n",
+    "    print(f\"\\\\newcommand{{\\\\refRich{category.capitalize()}Comp}}{{{ref_rich_comp}}}\")\n",
+    "    print(f\"\\\\newcommand{{\\\\refRich{category.capitalize()}CompPercentage}}{{${ref_rich_comp_ratio:.2f}\\%$}}\")\n",
+    "\n",
+    "    print(f\"\\\\newcommand{{\\\\refRich{category.capitalize()}Pred}}{{{ref_rich_pred}}}\")\n",
+    "    print(f\"\\\\newcommand{{\\\\refRich{category.capitalize()}PredPercentage}}{{${ref_rich_pred_ratio:.2f}\\%$}}\")\n",
+    "    print(\"\")\n",
+    "\n",
     "\n",
-    "# print(\"\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCCDirectRefsSameCategory}}{{{(exploded_with_refs.category == exploded_with_refs.ref_category).sum()}}}\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCCDirectRefsOtherCategory}}{{{(exploded_with_refs.category != exploded_with_refs.ref_category).sum()}}}\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCCDirectRefs}}{{{len(exploded_with_refs)}}}\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCCDirectRefsFromSmartcards}}{{{(exploded_with_refs.category == 'ICs, Smart Cards and Smart Card-Related Devices and Systems').sum()}}}\")\n",
+    "annot_test = pd.read_csv(\"/var/tmp/xjanovsk/certs/sec-certs/src/sec_certs/data/reference_annotations/final/test.csv\")\n",
+    "annot_train = pd.read_csv(\"/var/tmp/xjanovsk/certs/sec-certs/src/sec_certs/data/reference_annotations/final/train.csv\")\n",
+    "annot_valid = pd.read_csv(\"/var/tmp/xjanovsk/certs/sec-certs/src/sec_certs/data/reference_annotations/final/valid.csv\")\n",
+    "annot_all = pd.concat([annot_test, annot_train, annot_valid])\n",
+    "n_irrelevant = len(annot_all[annot_all[\"label\"] == \"irrelevant\"])\n",
+    "irrelevant_percentage = n_irrelevant / len(annot_all) * 100\n",
     "\n",
-    "# print(\"\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCCUSReferencing}}{{{len(df_id_rich.loc[(df_id_rich.scheme == 'US') & (df_id_rich.directly_referencing.notnull())])}}}\")\n",
-    "# print(f\"\\\\newcommand{{\\\\numCCUS}}{{{len(df_id_rich.loc[(df_id_rich.scheme == 'US')])}}}\")\n"
+    "print(f\"\\\\newcommand{{\\\\numAnnotIrrelevant}}{{{n_irrelevant}}}\")\n",
+    "print(f\"\\\\newcommand{{\\\\percentageAnnotIrrelevant}}{{${irrelevant_percentage:.1f}\\%$}}\")\n",
+    "\n",
+    "default_accuracy = 0.88\n",
+    "n_refs_to_predict = cc_df.n_refs.sum() - annot_all.shape[0]\n",
+    "n_refs_predicted_correct = n_refs_to_predict * default_accuracy\n",
+    "total_refs_correct = annot_all.shape[0] + n_refs_predicted_correct\n",
+    "total_refs_correct_ratio = 100 * total_refs_correct / cc_df.n_refs.sum()\n",
+    "print(f\"\\\\newcommand{{\\\\correctedPredPercentage}}{{${total_refs_correct_ratio:.0f}\\%$}}\")\n",
+    "\n",
+    "n_refs_pred = cc_df_prev.n_refs.sum()\n",
+    "n_refs_comp = cc_df_comp.n_refs.sum()\n",
+    "ratio_pred = 100 * n_refs_pred / (n_refs_pred + n_refs_comp)\n",
+    "ratio_comp = 100 * n_refs_comp / (n_refs_pred + n_refs_comp)\n",
+    "\n",
+    "print(f\"\\\\newcommand{{\\\\numcccerts}}{{{cc_df.shape[0]}}}\")\n",
+    "print(f\"\\\\newcommand{{\\\\refRichTotal}}{{{cc_df.loc[cc_df.n_refs > 0].shape[0]}}}\")\n",
+    "print(f\"\\\\newcommand{{\\\\refRichPercentage}}{{${cc_df.loc[cc_df.n_refs > 0].shape[0] * 100 / cc_df.shape[0]:.2f}\\%$}}\")\n",
+    "print(f\"\\\\newcommand{{\\\\numRefsTotal}}{{{cc_df.n_refs.sum()}}}\")\n",
+    "print(f\"\\\\newcommand{{\\\\compReuseRatio}}{{${ratio_comp:.2f}\\%$}}\")\n",
+    "print(f\"\\\\newcommand{{\\\\predRatio}}{{${ratio_pred:.2f}\\%$}}\")\n",
+    "print(\"\")\n",
+    "\n",
+    "\n",
+    "print_category_commands(\"smartcard\")\n",
+    "print_category_commands(\"related\")\n",
+    "print_category_commands(\"others\")"
    ]
   },
   {
@@ -39202,7 +2327,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39213,7 +2338,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39255,70 +2380,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": null,
    "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>transitive references corr</th>\n",
-       "      <th>transitive references p-value</th>\n",
-       "      <th>reach corr</th>\n",
-       "      <th>reach p-value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>smartcards</th>\n",
-       "      <td>-0.146789</td>\n",
-       "      <td>3.538119e-10</td>\n",
-       "      <td>0.233111</td>\n",
-       "      <td>2.733572e-23</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>other categories</th>\n",
-       "      <td>0.251177</td>\n",
-       "      <td>5.579787e-44</td>\n",
-       "      <td>0.153535</td>\n",
-       "      <td>2.529777e-17</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  transitive references corr  transitive references p-value  \\\n",
-       "smartcards                         -0.146789                   3.538119e-10   \n",
-       "other categories                    0.251177                   5.579787e-44   \n",
-       "\n",
-       "                  reach corr  reach p-value  \n",
-       "smartcards          0.233111   2.733572e-23  \n",
-       "other categories    0.153535   2.529777e-17  "
-      ]
-     },
-     "execution_count": 133,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df_corr"
    ]
@@ -39334,7 +2398,29 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 864/864 [00:00<00:00, 6892.69it/s]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found: 6 nodes with path of len >=12\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "nodes_with_long_paths = set()\n",
     "min_path_len = 12\n",
@@ -39349,6 +2435,1395 @@
    ]
   },
   {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plotly_draw(prev_subgraph, dset)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Examine sub-component graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 45 cycles with 26 nodes. 1.6383112791430372% of the nodes are in a cycle.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
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                       {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('c581d658-5faf-4cbc-9cc9-b89ff022b8e5');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1200x1200 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cycles = list(nx.simple_cycles(comp_subgraph))\n",
+    "nodes_in_cycle = set(itertools.chain.from_iterable(cycles))\n",
+    "print(\n",
+    "    f\"Found {len(cycles)} cycles with {len(nodes_in_cycle)} nodes. {100 * len(nodes_in_cycle) / len(comp_subgraph)}% of the nodes are in a cycle.\"\n",
+    ")\n",
+    "cycle_subg = comp_subgraph.subgraph(nodes_in_cycle)\n",
+    "plotly_draw(cycle_subg, dset)"
+   ]
+  },
+  {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -39359,7 +3834,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('component_4 with size 14', 'component_11 with size 21', 'component_14 with size 15', 'component_12 with size 13', 'component_9 with size 20', 'component_7 with size 24', 'component_1 with size 30', 'component_13 with size 15', 'component_6 with size 22', 'component_8 with size 57', 'component_5 with size 55', 'component_10 with size 41', 'component_2 with size 25', 'component_0 with size 707', 'component_3 with size 12')\n",
+      "(0.23076923076923075, 0.06315789473684211, 0.041208791208791215, 0.03787878787878788, 0.03508771929824561, 0.03162055335968379, 0.02586206896551724, 0.01098901098901099, 0.009523809523809525, 0.008441558441558441, 0.005590496156533892, 0.0038461538461538464, 0.0036231884057971015, 0.0006589918228758564, 0.0)\n",
+      "('CRP210', 'BSI-DSZ-CC-1033-2019', 'BSI-DSZ-CC-0349-2006', 'BSI-DSZ-CC-0220-2004', 'ANSSI-CC-2022/10', 'ANSSI-CC-2020/42', 'ANSSI-CC-2019/60', 'ANSSI-CC-2017/59', 'ANSSI-CC-2017/39', 'ANSSI-CC-2016/65', 'ANSSI-CC-2015/32', 'ANSSI-CC-2012/70', 'ANSSI-CC-2012/49', 'ANSSI-CC-2010/02', 'ANSSI-CC-2004/05')\n"
+     ]
+    }
+   ],
+   "source": [
+    "with open(\"/var/tmp/xjanovsk/certs/sec-certs/results/references/nodes_with_high_betweenness.json\", \"r\") as handle:\n",
+    "    data = json.load(handle)\n",
+    "\n",
+    "cert_to_comp = {val[0][0]: key for key, val in data.items()}\n",
+    "centralities = {key: val[0][1] for key, val in data.items()}\n",
+    "starting_nodes = {key: val[0][0] for key, val in data.items()}\n",
+    "components, centralities = zip(*sorted(centralities.items(), key=lambda x: x[1], reverse=True))\n",
+    "_, starting_nodes = zip(*sorted(starting_nodes.items(), key=lambda x: x[1], reverse=True))\n",
+    "\n",
+    "print(components)\n",
+    "print(centralities)\n",
+    "print(starting_nodes)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -39367,6 +3872,9 @@
     "large_components = [x for x in components if len(x) > 10]\n",
     "\n",
     "nodes_with_high_betweenness = {}\n",
+    "views = []\n",
+    "starting_points = []\n",
+    "centralities = []\n",
     "for i, comp in enumerate(large_components):\n",
     "    subg = comp_subgraph.subgraph(comp)\n",
     "    betweenness_centrality_vals = sorted((nx.betweenness_centrality(subg).items()), key=lambda x: x[1], reverse=True)\n",
@@ -39374,6 +3882,13 @@
     "        betweenness_centrality_vals[0],\n",
     "        betweenness_centrality_vals[1],\n",
     "    ]\n",
+    "    starting_points.append(betweenness_centrality_vals[0][0])\n",
+    "    centralities.append(betweenness_centrality_vals[0][1])\n",
+    "    views.append(subg)\n",
+    "\n",
+    "combined = sorted(zip(centralities, starting_points, views), key=lambda x: x[0], reverse=True)\n",
+    "centralities, starting_points, views = zip(*combined)\n",
+    "\n",
     "\n",
     "with Path(RESULTS_DIR / \"nodes_with_high_betweenness.json\").open(\"w\") as f:\n",
     "    json.dump(nodes_with_high_betweenness, f, indent=4)"
@@ -39381,7 +3896,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('ANSSI-CC-2016/65',\n",
+       " 'ANSSI-CC-2019/60',\n",
+       " 'ANSSI-CC-2012/70',\n",
+       " 'BSI-DSZ-CC-0349-2006',\n",
+       " 'ANSSI-CC-2004/05',\n",
+       " 'ANSSI-CC-2012/49',\n",
+       " 'ANSSI-CC-2017/39',\n",
+       " 'BSI-DSZ-CC-0220-2004',\n",
+       " 'CRP210',\n",
+       " 'ANSSI-CC-2017/59',\n",
+       " 'ANSSI-CC-2022/10',\n",
+       " 'ANSSI-CC-2020/42',\n",
+       " 'ANSSI-CC-2015/32',\n",
+       " 'ANSSI-CC-2010/02',\n",
+       " 'BSI-DSZ-CC-1033-2019')"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "starting_points"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
    "metadata": {},
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Python\"},\"xaxis\":{\"showgrid\":false,\"showticklabels\":false,\"zeroline\":false},\"yaxis\":{\"showgrid\":false,\"showticklabels\":false,\"zeroline\":false},\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"patter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                       {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('d25fb944-931b-4dcd-82d6-f2c2c44f6908');\n",
+       "var gd = document.getElementById('5ee7e20f-3365-46bc-bd96-dbaf3e5d2ed5');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -40534,7 +5049,7 @@
     {
      "data": {
       "text/plain": [
-       "<Figure size 1200x1200 with 0 Axes>"
+       "<Figure size 700x700 with 0 Axes>"
       ]
      },
      "metadata": {},
@@ -40542,16 +5057,55 @@
     }
    ],
    "source": [
-    "plotly_draw(subg, dset)"
+    "plotly_draw(views[0], dset)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'ANSSI-CC-2017/17',\n",
+       " 'ANSSI-CC-2017/17v2',\n",
+       " 'ANSSI-CC-2017/18',\n",
+       " 'ANSSI-CC-2017/18v2',\n",
+       " 'ANSSI-CC-2017/42',\n",
+       " 'ANSSI-CC-2017/42v2',\n",
+       " 'ANSSI-CC-2018/31',\n",
+       " 'ANSSI-CC-2019/22',\n",
+       " 'ANSSI-CC-2020/06'}"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "plotly_draw(prev_subgraph, dset)"
+    "cc_df.loc[cc_df.cert_id == \"ANSSI-CC-2016/65\"].in_trans_refs.values[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5553"
+      ]
+     },
+     "execution_count": 120,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(dset)"
    ]
   }
  ],