diff --git a/jupyter/Play_to_rf_activations.ipynb b/jupyter/Play_to_rf_activations.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..da3ef8706ec523b6b92d71cfa3f78645a68acfaf
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+++ b/jupyter/Play_to_rf_activations.ipynb
@@ -0,0 +1,253 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "from matplotlib import pyplot as plt\n",
+ "import numpy as np\n",
+ "\n",
+ "import settings\n",
+ "import experiments.RF_activation_visualization as rfactive"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Number of stations in leafs: 192\n",
+ "Number of unique stations in leafs: 93\n",
+ "Average prediction (leaf): 21.01510305404663\n",
+ "Prediction calculated by hand 21.129150300000003\n",
+ "Standard deviation: 2.9363301621713154\n",
+ "Maximum predicted ozone: 29.10540008544922\n",
+ "Minimum predicted ozone: 13.582500457763672\n"
+ ]
+ }
+ ],
+ "source": [
+ "station_id = 3340\n",
+ "rfav = rfactive.RFActVis('egu_pruned_rf')\n",
+ "rfav.load_data_and_model()\n",
+ "rfav.find_leaf_train_set()\n",
+ "rfav.find_leaf_test_set(station_id)\n",
+ "rfav.get_all_leaf_stations(station_id) \n",
+ "rfav.calc_contributions()\n",
+ "yolo, lolo = rfav.prepare_plotting(station_id)\n",
+ "rfav.useful_info()\n",
+ "pred1, pred2 = rfav.our_leaf_tree_formula()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "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>tree_id</th>\n",
+ " <th>leaf_id</th>\n",
+ " <th>predictions</th>\n",
+ " <th>station_id</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>0.0</td>\n",
+ " <td>3697.0</td>\n",
+ " <td>21.475401</td>\n",
+ " <td>5253.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>1.0</td>\n",
+ " <td>3629.0</td>\n",
+ " <td>20.715200</td>\n",
+ " <td>8435.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>2.0</td>\n",
+ " <td>3630.0</td>\n",
+ " <td>21.885099</td>\n",
+ " <td>7756.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>3.0</td>\n",
+ " <td>3614.0</td>\n",
+ " <td>18.631201</td>\n",
+ " <td>4235.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>3.0</td>\n",
+ " <td>3614.0</td>\n",
+ " <td>18.631201</td>\n",
+ " <td>9910.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>187</th>\n",
+ " <td>98.0</td>\n",
+ " <td>3791.0</td>\n",
+ " <td>19.888000</td>\n",
+ " <td>5304.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>188</th>\n",
+ " <td>98.0</td>\n",
+ " <td>3791.0</td>\n",
+ " <td>19.888000</td>\n",
+ " <td>10214.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>189</th>\n",
+ " <td>99.0</td>\n",
+ " <td>3582.0</td>\n",
+ " <td>26.198299</td>\n",
+ " <td>9896.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>190</th>\n",
+ " <td>99.0</td>\n",
+ " <td>3582.0</td>\n",
+ " <td>26.198299</td>\n",
+ " <td>9889.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>191</th>\n",
+ " <td>99.0</td>\n",
+ " <td>3582.0</td>\n",
+ " <td>26.198299</td>\n",
+ " <td>10336.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>192 rows × 4 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " tree_id leaf_id predictions station_id\n",
+ "0 0.0 3697.0 21.475401 5253.0\n",
+ "1 1.0 3629.0 20.715200 8435.0\n",
+ "2 2.0 3630.0 21.885099 7756.0\n",
+ "3 3.0 3614.0 18.631201 4235.0\n",
+ "4 3.0 3614.0 18.631201 9910.0\n",
+ ".. ... ... ... ...\n",
+ "187 98.0 3791.0 19.888000 5304.0\n",
+ "188 98.0 3791.0 19.888000 10214.0\n",
+ "189 99.0 3582.0 26.198299 9896.0\n",
+ "190 99.0 3582.0 26.198299 9889.0\n",
+ "191 99.0 3582.0 26.198299 10336.0\n",
+ "\n",
+ "[192 rows x 4 columns]"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rfav.single_station_contributors_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def leaf_hist(leaf_df, pred):\n",
+ " \"\"\"single_station_contributors_df is the dataframe \n",
+ " which includes the single leaf predictions.\"\"\"\n",
+ " plt.style.use('seaborn-darkgrid')\n",
+ " fig, ax = plt.subplots(1, 1, figsize=(9, 3), sharey=True)\n",
+ " w = 1 # With of Histogram\n",
+ " ax.hist(leaf_df.predictions, bins=np.arange(min(leaf_df.predictions), max(leaf_df.predictions) + w, w))\n",
+ " ax.grid(True)\n",
+ " ax.annotate(\" P(RF)\", # Point to predicted value\n",
+ " xy=(pred,0),\n",
+ " xytext=(pred, -5),\n",
+ " arrowprops = dict(facecolor='black', shrink=0.05))\n",
+ " ax.set_title('Leaf predictions')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 648x216 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "leaf_hist(rfav.single_station_contributors_df, pred1)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/jupyter/residuals_plot.ipynb b/jupyter/residuals_plot.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..84fe499bc1253d3cf3284d7fcf6c9a9be6f54d1b
--- /dev/null
+++ b/jupyter/residuals_plot.ipynb
@@ -0,0 +1,9070 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import plotly.express as px\n",
+ "\n",
+ "import settings\n",
+ "import experiments.testerror_visualization as tv"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Prepare a dataframe containing the residuals and longitute, latitude for map plot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "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>o3_average_values</th>\n",
+ " <th>nn_prediction</th>\n",
+ " <th>rf_prediction</th>\n",
+ " <th>nn_delta</th>\n",
+ " <th>rf_delta</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>id</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>3336</th>\n",
+ " <td>33.4050</td>\n",
+ " <td>27.839838</td>\n",
+ " <td>25.848900</td>\n",
+ " <td>5.565162</td>\n",
+ " <td>7.556100</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3340</th>\n",
+ " <td>20.3253</td>\n",
+ " <td>21.666485</td>\n",
+ " <td>21.015103</td>\n",
+ " <td>-1.341185</td>\n",
+ " <td>-0.689803</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3354</th>\n",
+ " <td>18.8233</td>\n",
+ " <td>20.056805</td>\n",
+ " <td>21.229105</td>\n",
+ " <td>-1.233505</td>\n",
+ " <td>-2.405805</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3357</th>\n",
+ " <td>31.0507</td>\n",
+ " <td>28.899235</td>\n",
+ " <td>31.243528</td>\n",
+ " <td>2.151465</td>\n",
+ " <td>-0.192828</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3373</th>\n",
+ " <td>29.8428</td>\n",
+ " <td>25.656801</td>\n",
+ " <td>25.324702</td>\n",
+ " <td>4.185999</td>\n",
+ " <td>4.518098</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17659</th>\n",
+ " <td>34.6185</td>\n",
+ " <td>37.845943</td>\n",
+ " <td>32.051435</td>\n",
+ " <td>-3.227443</td>\n",
+ " <td>2.567065</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17660</th>\n",
+ " <td>37.3892</td>\n",
+ " <td>23.635782</td>\n",
+ " <td>26.102184</td>\n",
+ " <td>13.753418</td>\n",
+ " <td>11.287016</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17662</th>\n",
+ " <td>41.3679</td>\n",
+ " <td>48.227116</td>\n",
+ " <td>49.211292</td>\n",
+ " <td>-6.859216</td>\n",
+ " <td>-7.843392</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17664</th>\n",
+ " <td>27.2667</td>\n",
+ " <td>21.578651</td>\n",
+ " <td>26.008131</td>\n",
+ " <td>5.688049</td>\n",
+ " <td>1.258569</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17683</th>\n",
+ " <td>17.5921</td>\n",
+ " <td>25.657812</td>\n",
+ " <td>20.828295</td>\n",
+ " <td>-8.065712</td>\n",
+ " <td>-3.236195</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1110 rows × 5 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " o3_average_values nn_prediction rf_prediction nn_delta rf_delta\n",
+ "id \n",
+ "3336 33.4050 27.839838 25.848900 5.565162 7.556100\n",
+ "3340 20.3253 21.666485 21.015103 -1.341185 -0.689803\n",
+ "3354 18.8233 20.056805 21.229105 -1.233505 -2.405805\n",
+ "3357 31.0507 28.899235 31.243528 2.151465 -0.192828\n",
+ "3373 29.8428 25.656801 25.324702 4.185999 4.518098\n",
+ "... ... ... ... ... ...\n",
+ "17659 34.6185 37.845943 32.051435 -3.227443 2.567065\n",
+ "17660 37.3892 23.635782 26.102184 13.753418 11.287016\n",
+ "17662 41.3679 48.227116 49.211292 -6.859216 -7.843392\n",
+ "17664 27.2667 21.578651 26.008131 5.688049 1.258569\n",
+ "17683 17.5921 25.657812 20.828295 -8.065712 -3.236195\n",
+ "\n",
+ "[1110 rows x 5 columns]"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "average_ozone = tv.prepare_dataframe('egu_pruned_nn_scale_targets_true','egu_pruned_rf')\n",
+ "average_ozone"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "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>lat</th>\n",
+ " <th>lon</th>\n",
+ " <th>o3_average_values</th>\n",
+ " <th>nn_prediction</th>\n",
+ " <th>rf_prediction</th>\n",
+ " <th>nn_delta</th>\n",
+ " <th>rf_delta</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>id</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>3336</th>\n",
+ " <td>54.924970</td>\n",
+ " <td>8.308210</td>\n",
+ " <td>33.4050</td>\n",
+ " <td>27.839838</td>\n",
+ " <td>25.848900</td>\n",
+ " <td>5.565162</td>\n",
+ " <td>7.556100</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3340</th>\n",
+ " <td>52.023169</td>\n",
+ " <td>8.548389</td>\n",
+ " <td>20.3253</td>\n",
+ " <td>21.666485</td>\n",
+ " <td>21.015103</td>\n",
+ " <td>-1.341185</td>\n",
+ " <td>-0.689803</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3354</th>\n",
+ " <td>51.154614</td>\n",
+ " <td>6.425710</td>\n",
+ " <td>18.8233</td>\n",
+ " <td>20.056805</td>\n",
+ " <td>21.229105</td>\n",
+ " <td>-1.233505</td>\n",
+ " <td>-2.405805</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3357</th>\n",
+ " <td>50.930328</td>\n",
+ " <td>8.191932</td>\n",
+ " <td>31.0507</td>\n",
+ " <td>28.899235</td>\n",
+ " <td>31.243528</td>\n",
+ " <td>2.151465</td>\n",
+ " <td>-0.192828</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3373</th>\n",
+ " <td>48.472245</td>\n",
+ " <td>8.412437</td>\n",
+ " <td>29.8428</td>\n",
+ " <td>25.656801</td>\n",
+ " <td>25.324702</td>\n",
+ " <td>4.185999</td>\n",
+ " <td>4.518098</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17659</th>\n",
+ " <td>53.136152</td>\n",
+ " <td>-4.074791</td>\n",
+ " <td>34.6185</td>\n",
+ " <td>37.845943</td>\n",
+ " <td>32.051435</td>\n",
+ " <td>-3.227443</td>\n",
+ " <td>2.567065</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17660</th>\n",
+ " <td>25.179600</td>\n",
+ " <td>121.689800</td>\n",
+ " <td>37.3892</td>\n",
+ " <td>23.635782</td>\n",
+ " <td>26.102184</td>\n",
+ " <td>13.753418</td>\n",
+ " <td>11.287016</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17662</th>\n",
+ " <td>23.468600</td>\n",
+ " <td>120.873600</td>\n",
+ " <td>41.3679</td>\n",
+ " <td>48.227116</td>\n",
+ " <td>49.211292</td>\n",
+ " <td>-6.859216</td>\n",
+ " <td>-7.843392</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17664</th>\n",
+ " <td>25.037900</td>\n",
+ " <td>121.432500</td>\n",
+ " <td>27.2667</td>\n",
+ " <td>21.578651</td>\n",
+ " <td>26.008131</td>\n",
+ " <td>5.688049</td>\n",
+ " <td>1.258569</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17683</th>\n",
+ " <td>47.483194</td>\n",
+ " <td>11.062283</td>\n",
+ " <td>17.5921</td>\n",
+ " <td>25.657812</td>\n",
+ " <td>20.828295</td>\n",
+ " <td>-8.065712</td>\n",
+ " <td>-3.236195</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1110 rows × 7 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " lat lon o3_average_values nn_prediction rf_prediction \\\n",
+ "id \n",
+ "3336 54.924970 8.308210 33.4050 27.839838 25.848900 \n",
+ "3340 52.023169 8.548389 20.3253 21.666485 21.015103 \n",
+ "3354 51.154614 6.425710 18.8233 20.056805 21.229105 \n",
+ "3357 50.930328 8.191932 31.0507 28.899235 31.243528 \n",
+ "3373 48.472245 8.412437 29.8428 25.656801 25.324702 \n",
+ "... ... ... ... ... ... \n",
+ "17659 53.136152 -4.074791 34.6185 37.845943 32.051435 \n",
+ "17660 25.179600 121.689800 37.3892 23.635782 26.102184 \n",
+ "17662 23.468600 120.873600 41.3679 48.227116 49.211292 \n",
+ "17664 25.037900 121.432500 27.2667 21.578651 26.008131 \n",
+ "17683 47.483194 11.062283 17.5921 25.657812 20.828295 \n",
+ "\n",
+ " nn_delta rf_delta \n",
+ "id \n",
+ "3336 5.565162 7.556100 \n",
+ "3340 -1.341185 -0.689803 \n",
+ "3354 -1.233505 -2.405805 \n",
+ "3357 2.151465 -0.192828 \n",
+ "3373 4.185999 4.518098 \n",
+ "... ... ... \n",
+ "17659 -3.227443 2.567065 \n",
+ "17660 13.753418 11.287016 \n",
+ "17662 -6.859216 -7.843392 \n",
+ "17664 5.688049 1.258569 \n",
+ "17683 -8.065712 -3.236195 \n",
+ "\n",
+ "[1110 rows x 7 columns]"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "aqb = pd.read_csv(settings.resources_dir + settings.AQbench_dataset_file)\n",
+ "coordinates = aqb[aqb['dataset'].isin(['test'])]\n",
+ "coordinates = coordinates.loc[:, ['id', 'lat', 'lon']]\n",
+ "coordinates = coordinates.set_index('id') \n",
+ "ozone_values = pd.merge(coordinates, average_ozone, left_index=True, right_index=True)\n",
+ "ozone_values"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Make plot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ " <script type=\"text/javascript\">\n",
+ " window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+ " if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+ " if (typeof require !== 'undefined') {\n",
+ " require.undef(\"plotly\");\n",
+ " define('plotly', function(require, exports, module) {\n",
+ " /**\n",
+ "* plotly.js v1.58.4\n",
+ "* Copyright 2012-2020, Plotly, Inc.\n",
+ "* All rights reserved.\n",
+ "* Licensed under the MIT license\n",
+ "*/\n",
+ "!function(t){if(\"object\"==typeof exports&&\"undefined\"!=typeof module)module.exports=t();else if(\"function\"==typeof define&&define.amd)define([],t);else{(\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function i(o,s){if(!r[o]){if(!e[o]){var l=\"function\"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var c=new Error(\"Cannot find module '\"+o+\"'\");throw c.code=\"MODULE_NOT_FOUND\",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,(function(t){return i(e[o][1][t]||t)}),u,u.exports,t,e,r,n)}return r[o].exports}for(var a=\"function\"==typeof require&&require,o=0;o<n.length;o++)i(n[o]);return i}({1:[function(t,e,r){\"use strict\";var n=t(\"../src/lib\"),i={\"X,X div\":\"direction:ltr;font-family:'Open Sans', verdana, arial, sans-serif;margin:0;padding:0;\",\"X input,X button\":\"font-family:'Open Sans', verdana, arial, sans-serif;\",\"X 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strict\";e.exports=t(\"../src/traces/bar\")},{\"../src/traces/bar\":929}],4:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/barpolar\")},{\"../src/traces/barpolar\":942}],5:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/box\")},{\"../src/traces/box\":952}],6:[function(t,e,r){\"use strict\";e.exports=t(\"../src/components/calendars\")},{\"../src/components/calendars\":641}],7:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/candlestick\")},{\"../src/traces/candlestick\":961}],8:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/carpet\")},{\"../src/traces/carpet\":980}],9:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/choropleth\")},{\"../src/traces/choropleth\":994}],10:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/choroplethmapbox\")},{\"../src/traces/choroplethmapbox\":1001}],11:[function(t,e,r){\"use strict\";e.exports=t(\"../src/traces/cone\")},{\"../src/traces/cone\":1007}],12:[function(t,e,r){\"use 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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\"],u=[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],f=[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 h(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var 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vt=(c+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(A,H)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,X)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,X)|0,n=n+Math.imul(A,J)|0,i=(i=i+Math.imul(A,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,X)|0,n=n+Math.imul(C,J)|0,i=(i=i+Math.imul(C,K)|0)+Math.imul(L,J)|0,a=a+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var Mt=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,J)|0,i=(i=i+Math.imul(P,K)|0)+Math.imul(z,J)|0,a=a+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(A,ft)|0,i=(i=i+Math.imul(A,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ft)|0,i=(i=i+Math.imul(C,ht)|0)+Math.imul(L,ft)|0,a=a+Math.imul(L,ht)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(i=(i=i+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(z,ft)|0,a=a+Math.imul(z,ht)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?h(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),d(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number 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 m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(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 T(t){w.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)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.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):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(y,v),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 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r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:108}],100:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],101:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":103,\"./lib/sweep\":107,\"typedarray-pool\":595}],102:[function(t,e,r){\"use strict\";var n=[\"d\",\"ax\",\"vv\",\"rs\",\"re\",\"rb\",\"ri\",\"bs\",\"be\",\"bb\",\"bi\"];function i(t){var e=\"bruteForce\"+(t?\"Full\":\"Partial\"),r=[],i=n.slice();t||i.splice(3,0,\"fp\");var a=[\"function \"+e+\"(\"+i.join()+\"){\"];function o(e,i){var o=function(t,e,r){var i=\"bruteForce\"+(t?\"Red\":\"Blue\")+(e?\"Flip\":\"\")+(r?\"Full\":\"\"),a=[\"function \",i,\"(\",n.join(),\"){\",\"var \",\"es\",\"=2*\",\"d\",\";\"],o=\"for(var i=rs,rp=es*rs;i<re;++i,rp+=es){var x0=rb[ax+rp],x1=rb[ax+rp+d],xi=ri[i];\",s=\"for(var j=bs,bp=es*bs;j<be;++j,bp+=es){var y0=bb[ax+bp],\"+(r?\"y1=bb[ax+bp+d],\":\"\")+\"yi=bi[j];\";return t?a.push(o,\"Q\",\":\",s):a.push(s,\"Q\",\":\",o),r?a.push(\"if(y1<x0||x1<y0)continue;\"):e?a.push(\"if(y0<=x0||x1<y0)continue;\"):a.push(\"if(y0<x0||x1<y0)continue;\"),a.push(\"for(var k=ax+1;k<d;++k){var r0=rb[k+rp],r1=rb[k+d+rp],b0=bb[k+bp],b1=bb[k+d+bp];if(r1<b0||b1<r0)continue Q;}var rv=vv(\"),e?a.push(\"yi,xi\"):a.push(\"xi,yi\"),a.push(\");if(rv!==void 0)return rv;}}}\"),{name:i,code:a.join(\"\")}}(e,i,t);r.push(o.code),a.push(\"return 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0!==(A=l.scanComplete(t,L,e,I,P,U,V,z,O,q,H)))return A;continue}}else{if(t*Math.min(G,Y)<128){if(void 0!==(A=o(t,L,e,N,I,P,U,V,z,O,q,H)))return A;continue}if(t*G*Y<1<<22){if(void 0!==(A=l.scanBipartite(t,L,e,N,I,P,U,V,z,O,q,H)))return A;continue}}var W=f(t,L,I,P,U,V,F,B);if(I<W)if(t*(W-I)<128){if(void 0!==(A=s(t,L+1,e,I,W,U,V,z,O,q,H)))return A}else if(L===t-2){if(void 0!==(A=N?l.sweepBipartite(t,e,z,O,q,H,I,W,U,V):l.sweepBipartite(t,e,I,W,U,V,z,O,q,H)))return A}else x(S++,L+1,I,W,z,O,N,-1/0,1/0),x(S++,L+1,z,O,I,W,1^N,-1/0,1/0);if(W<P){var X=c(t,L,z,O,q,H),Z=q[E*X+L],J=h(t,L,X,O,q,H,Z);if(J<O&&x(S++,L,W,P,J,O,(4|N)+(j?16:0),Z,B),z<X&&x(S++,L,W,P,z,X,(2|N)+(j?16:0),F,Z),X+1===J){if(void 0!==(A=j?_(t,L,e,W,P,U,V,X,q,H[X]):b(t,L,e,N,W,P,U,V,X,q,H[X])))return A}else if(X<J){var K;if(j){if(K=g(t,L,W,P,U,V,Z),W<K){var Q=h(t,L,W,K,U,V,Z);if(L===t-2){if(W<Q&&void 0!==(A=l.sweepComplete(t,e,W,Q,U,V,X,J,q,H)))return A;if(Q<K&&void 0!==(A=l.sweepBipartite(t,e,Q,K,U,V,X,J,q,H)))return A}else W<Q&&x(S++,L+1,W,Q,X,J,16,-1/0,1/0),Q<K&&(x(S++,L+1,Q,K,X,J,0,-1/0,1/0),x(S++,L+1,X,J,Q,K,1,-1/0,1/0))}}else K=N?m(t,L,W,P,U,V,Z):g(t,L,W,P,U,V,Z),W<K&&(L===t-2?A=N?l.sweepBipartite(t,e,X,J,q,H,W,K,U,V):l.sweepBipartite(t,e,W,K,U,V,X,J,q,H):(x(S++,L+1,W,K,X,J,N,-1/0,1/0),x(S++,L+1,X,J,W,K,1^N,-1/0,1/0)))}}}}};var n=t(\"typedarray-pool\"),i=t(\"bit-twiddle\"),a=t(\"./brute\"),o=a.partial,s=a.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),f=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),h=u(\"lo===p0\",[\"p0\"]),p=u(\"lo<p0\",[\"p0\"]),d=u(\"hi<=p0\",[\"p0\"]),g=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),m=u(\"lo<p0&&p0<=hi\",[\"p0\"]),v=n.mallocInt32(1024),y=n.mallocDouble(1024);function x(t,e,r,n,i,a,o,s,l){var c=6*t;v[c]=e,v[c+1]=r,v[c+2]=n,v[c+3]=i,v[c+4]=a,v[c+5]=o;var u=2*t;y[u]=s,y[u+1]=l}function b(t,e,r,n,i,a,o,s,l,c,u){var f=2*t,h=l*f,p=c[h+e];t:for(var d=i,g=i*f;d<a;++d,g+=f){var m=o[g+e],v=o[g+e+t];if(!(p<m||v<p)&&(!n||p!==m)){for(var 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+ " * @license MIT\n",
+ " */\n",
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+ " * @overview es6-promise - a tiny implementation of Promises/A+.\n",
+ " * @copyright Copyright (c) 2014 Yehuda Katz, Tom Dale, Stefan Penner and contributors (Conversion to ES6 API by Jake Archibald)\n",
+ " * @license Licensed under MIT license\n",
+ " * See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE\n",
+ " * @version v4.2.8+1e68dce6\n",
+ " */\n",
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a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function a(t){if(t<0)return Number(\"0/0\");for(var e=i[0],r=i.length-1;r>0;--r)e+=i[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(a(e));e-=1;for(var r=n[0],i=1;i<9;i++)r+=n[i]/(e+i);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=a},{}],249:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(\"webgl\")&&a.push(\"experimental-\"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=f[M],this.lastCubeProps.axis[M]=h[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,f,h);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=h[M]:E[M]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(M=0;M<3;++M){var C=[0,0,0];h[M]>0?C[M]=a[1][M]:C[M]=a[0][M];for(var L=0;L<2;++L){var I=(M+1+L)%3,P=(M+1+(1^L))%3;this.gridEnable[I]&&this._lines.drawGrid(I,P,this.bounds,C,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(L=0;L<2;++L){I=(M+1+L)%3,P=(M+1+(1^L))%3;this.zeroEnable[P]&&Math.min(a[0][P],a[1][P])<=0&&Math.max(a[0][P],a[1][P])>=0&&this._lines.drawZero(I,P,this.bounds,C,this.zeroLineColor[P],this.zeroLineWidth[P]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(a[0][M]+a[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":259,\"gl-vao\":358}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<M)+(L<<A)+(1-L<<S),P=z+(1-L<<A)+(L<<S);o(c[z],c[I],c[P],f)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){I=(z=L<<M)+(L<<A)+(1-L<<S),P=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":295,\"robust-orientation\":548,\"split-polygon\":566}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":259,\"gl-vao\":358}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n vec4 pp = projection * view * model * vec4(p, 1.0);\\n return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n vec3 major = position.x * majorAxis;\\n vec3 minor = position.y * minorAxis;\\n\\n vec3 vPosition = major + minor + offset;\\n vec3 pPosition = project(vPosition);\\n vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n vec4 pp = projection * view * model * vec4(p, 1.0);\\n return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n vec3 A = project(a);\\n vec3 B = project(b);\\n\\n return atan(\\n (B.y - A.y) * resolution.y,\\n (B.x - A.x) * resolution.x\\n );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio = alignOpt.y;\\nbool enableAlign = (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n return mod_angle((a < 0.0) ?\\n a + TWO_PI :\\n a\\n );\\n}\\n\\nfloat look_upwards(float a) {\\n float b = positive_angle(a);\\n return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n b - PI :\\n b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n // if ratio is set to 0.5 then it is 50%, 50%.\\n // when using a higher ratio e.g. 0.75 the result would\\n // likely be more horizontal than vertical.\\n\\n float b = positive_angle(a);\\n\\n return\\n (b < ( ratio) * HALF_PI) ? 0.0 :\\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n 0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n float b = positive_angle(a);\\n float div = TWO_PI / float(n);\\n float c = roundTo(b, div);\\n return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n return\\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\\n rawAngle; // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n (axis.y == 0.0) &&\\n (axis.z == 0.0);\\n\\nvoid main() {\\n //Compute world offset\\n float axisDistance = position.z;\\n vec3 dataPosition = axisDistance * axis + offset;\\n\\n float beta = angle; // i.e. user defined attributes for each tick\\n\\n float axisAngle;\\n float clipAngle;\\n float flip;\\n\\n if (enableAlign) {\\n axisAngle = (isAxisTitle) ? HALF_PI :\\n computeViewAngle(dataPosition, dataPosition + axis);\\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n beta += applyAlignOption(clipAngle, flip * PI);\\n }\\n\\n //Compute plane offset\\n vec2 planeCoord = position.xy * pixelScale;\\n\\n mat2 planeXform = scale * mat2(\\n cos(beta), sin(beta),\\n -sin(beta), cos(beta)\\n );\\n\\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n //Compute clip position\\n vec3 clipPosition = project(dataPosition);\\n\\n //Apply text offset in clip coordinates\\n clipPosition += vec3(viewOffset, 0.0);\\n\\n //Done\\n gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":335,glslify:257}],255:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var 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n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":295,\"gl-mat4/transpose\":306,\"gl-vec4/transformMat4\":429,\"split-polygon\":566}],259:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:495,\"ndarray-ops\":490,\"typedarray-pool\":595}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),a.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],I=n.length(L)*k,P=0;P<8;P++){a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vertexIntensity.push(I,I,I),a.vertexIntensity.push(I,I,I);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":261,\"./lib/shaders\":262,\"gl-vec3\":377}],261:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=h;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-shader\":335,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495}],262:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * conePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(conePosition, 1.0);\\n vec4 t_position = view * conePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = conePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n gl_Position = projection * view * conePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:263}],263:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],264:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\"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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var 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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}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":335,glslify:267}],269:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.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 c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&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,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: 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u(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 g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":353}],270:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":265,\"glsl-shader-name\":431,\"sprintf-js\":567}],271:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),M=a.mallocUint8(2*w),A=a.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,X=4*(H+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),a.free(k),a.free(T),a.free(M),a.free(A)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":272,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335,\"iota-array\":463,\"typedarray-pool\":595}],272:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n fragColor = color;\\n gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n vec2 d = step(.5, vWeight);\\n vec4 id = fragId + pickOffset;\\n id.x += d.x + d.y*shape.x;\\n\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n vWeight = weight;\\n\\n fragId = pickId;\\n\\n vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:273}],273:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],274:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n vec4 startPoint = project(position);\\n vec4 endPoint = project(nextPosition);\\n\\n vec2 A = startPoint.xy / startPoint.w;\\n vec2 B = endPoint.xy / endPoint.w;\\n\\n float clipAngle = atan(\\n (B.y - A.y) * screenShape.y,\\n (B.x - A.x) * screenShape.x\\n );\\n\\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n sin(clipAngle),\\n -cos(clipAngle)\\n ) / screenShape;\\n\\n gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n worldPosition = position;\\n pixelArcLength = arcLength;\\n fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float dashScale;\\nuniform float opacity;\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n if(dashWeight < 0.5) {\\n discard;\\n }\\n gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX 1.70141184e38\\n#define FLOAT_MIN 1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n float av = abs(v);\\n\\n //Handle special cases\\n if(av < FLOAT_MIN) {\\n return vec4(0.0, 0.0, 0.0, 0.0);\\n } else if(v > FLOAT_MAX) {\\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n } else if(v < -FLOAT_MAX) {\\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n }\\n\\n vec4 c = vec4(0,0,0,0);\\n\\n //Compute exponent and mantissa\\n float e = floor(log2(av));\\n float m = av * pow(2.0, -e) - 1.0;\\n\\n //Unpack mantissa\\n c[1] = floor(128.0 * m);\\n m -= c[1] / 128.0;\\n c[2] = floor(32768.0 * m);\\n m -= c[2] / 32768.0;\\n c[3] = floor(8388608.0 * m);\\n\\n //Unpack exponent\\n float ebias = e + 127.0;\\n c[0] = floor(ebias / 2.0);\\n ebias -= c[0] * 2.0;\\n c[1] += floor(ebias) * 128.0;\\n\\n //Unpack sign bit\\n c[0] += 128.0 * step(0.0, -v);\\n\\n //Scale back to range\\n return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":335,glslify:276}],275:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var 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o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":274,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495}],276:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],277:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15];return t[0]=s*(h*v-p*m)-f*(l*v-c*m)+g*(l*p-c*h),t[1]=-(n*(h*v-p*m)-f*(i*v-a*m)+g*(i*p-a*h)),t[2]=n*(l*v-c*m)-s*(i*v-a*m)+g*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*m)-u*(l*v-c*m)+d*(l*p-c*h)),t[5]=r*(h*v-p*m)-u*(i*v-a*m)+d*(i*p-a*h),t[6]=-(r*(l*v-c*m)-o*(i*v-a*m)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*g)-u*(s*v-c*g)+d*(s*p-c*f),t[9]=-(r*(f*v-p*g)-u*(n*v-a*g)+d*(n*p-a*f)),t[10]=r*(s*v-c*g)-o*(n*v-a*g)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*m-h*g)-u*(s*m-l*g)+d*(s*h-l*f)),t[13]=r*(f*m-h*g)-u*(n*m-i*g)+d*(n*h-i*f),t[14]=-(r*(s*m-l*g)-o*(n*m-i*g)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],278:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,g=a*o,m=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-m,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=h+m,t[9]=p-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o=r[0],s=r[1],l=r[2],c=Math.sqrt(o*o+s*s+l*l);if(Math.abs(c)<1e-6)return null;return o*=c=1/c,s*=c,l*=c,n=Math.sin(e),i=Math.cos(e),a=1-i,t[0]=o*o*a+i,t[1]=s*o*a+l*n,t[2]=l*o*a-s*n,t[3]=0,t[4]=o*s*a-l*n,t[5]=s*s*a+i,t[6]=l*s*a+o*n,t[7]=0,t[8]=o*l*a+s*n,t[9]=s*l*a-o*n,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,g=a*c,m=o*s,v=o*l,y=o*c;return t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],285:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],286:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],287:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],288:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],289:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],291:[function(t,e,r){e.exports=function(t){return 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r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,M=u*m-h*d,A=u*v-p*d,S=f*m-h*g,E=f*v-p*g,C=h*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(i*E-n*C-a*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(h*w-f*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-i*A+a*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-h*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-a*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(f*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+i*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-f*x+h*y)*L,t}},{}],294:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":291}],295:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],296:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],297:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],298:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],299:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],I=Math.sqrt(E*E+C*C+L*L);if(Math.abs(I)<1e-6)return null;E*=I=1/I,C*=I,L*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=C*E*o+L*i,_=L*E*o-C*i,w=E*C*o-L*i,T=C*C*o+a,k=L*C*o+E*i,M=E*L*o+C*i,A=C*L*o-E*i,S=L*L*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+f*A+g*S,t[9]=l*M+h*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],300:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],301:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],302:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],303:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],304:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],305:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],306:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],307:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":525}],308:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_id = id;\\n f_position = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute float pointSize;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n gl_PointSize = pointSize;\\n }\\n f_id = id;\\n f_position = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:310}],309:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,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 M(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 A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(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 I(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*M(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=I||(z||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=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(Z[0],Z[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),f=L(t),h=I(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,M,P,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":307,\"./lib/shaders\":308,colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-shader\":335,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495,normals:498,\"simplicial-complex-contour\":556,\"typedarray-pool\":595}],310:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],311:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"gl-buffer\":259,\"gl-shader\":335}],312:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*f[0].length,P=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),z=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),O=0+6*P,D=6*Math.max(0,z-P),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=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,O,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,O,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":314,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335}],313:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"gl-buffer\":259,\"gl-shader\":335}],314:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n vec2 delta = normalize(perp(start - end));\\n vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n float dataOffset = textCoordinate.z;\\n vec2 glyphOffset = textCoordinate.xy;\\n mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n glyphMatrix * glyphOffset * textScale + screenOffset;\\n gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:316}],315:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var A=2/h[2+(1^t)]-h[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335,\"text-cache\":575}],316:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],317:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":311,\"./lib/grid\":312,\"./lib/line\":313,\"./lib/text\":315,\"gl-select-static\":334}],318:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,f*(Math.exp(A)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":441,\"mouse-change\":483,\"mouse-event-offset\":484,\"mouse-wheel\":486,\"right-now\":542}],319:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n uv = position;\\n gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":335,glslify:320}],320:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],321:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=i(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],I=[],P=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[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(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,F);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},P=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),P=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<I.length;++t)I[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,P=P||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,P=P||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}P=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(P=!0,Y())},N},createCamera:n}},{\"./camera.js\":318,\"./lib/shader\":319,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":258,\"gl-fbo\":269,\"gl-mat4/ortho\":296,\"gl-mat4/perspective\":297,\"gl-select-static\":334,\"gl-spikes3d\":345,\"is-mobile\":467,\"mouse-change\":483}],322:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n highp float a = 12.9898;\\n highp float b = 78.233;\\n highp float c = 43758.5453;\\n highp float d = dot(co.xy, vec2(a, b));\\n highp float e = mod(d, 3.14);\\n return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n // if we don't jitter the point size a bit, overall point cloud\\n // saturation 'jumps' on zooming, which is disturbing and confusing\\n gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n if(pointCloud != 0.0) { // pointCloud is truthy\\n // get the same square surface as circle would be\\n gl_PointSize *= 0.886;\\n }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n float radius;\\n vec4 baseColor;\\n if(pointCloud != 0.0) { // pointCloud is truthy\\n if(centerFraction == 1.0) {\\n gl_FragColor = color;\\n } else {\\n gl_FragColor = mix(borderColor, color, centerFraction);\\n }\\n } else {\\n radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n baseColor = mix(borderColor, color, step(radius, centerFraction));\\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n gl_PointSize = pointSize;\\n\\n vec4 id = pickId + pickOffset;\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:323}],323:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],324:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":322,\"gl-buffer\":259,\"gl-shader\":335,\"typedarray-pool\":595}],325:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],326:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],327:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":600}],328:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * view * model * vec4(position, 1);\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":335,glslify:329}],329:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],330:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,I=(m+2)%3,P=A(x),z=A(b);P[L]=1,z[I]=1;var O=p(0,0,0,S(_,P)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=L;L=I,I=F}O[0]<0&&(P[L]=-1),D[1]>0&&(z[I]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*I+C],2);P[L]/=Math.sqrt(B),z[I]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&C(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),I=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];I[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];I[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+X[1]),O+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(I),o.free(E),o.free(C),o.free(L),o.free(I)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":326,\"./lib/glyphs\":327,\"./lib/shaders\":328,\"gl-buffer\":259,\"gl-mat4/multiply\":295,\"gl-vao\":358,\"is-string-blank\":470,\"typedarray-pool\":595}],331:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n gl_FragColor = color;\\n}\\n\"])},{glslify:332}],332:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],333:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var 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i=n.prototype;i.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map((function(t){return t.slice()})),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},i.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],343:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],344:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n vec3 vertexPosition = mix(coordinates[0],\\n mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n vec2 delta = weight * clipOffset * screenShape;\\n vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n gl_Position = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n fragColor = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":335,glslify:343}],345:[function(t,e,r){\"use strict\";var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":344,\"gl-buffer\":259,\"gl-vao\":358}],346:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n gl_Position = projection * view * tubePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:347}],347:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],348:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=h;h=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,M,A=a[0][d],S=a[0][v],E=a[1][g],C=a[1][y],L=a[2][m],I=(o-A)/(S-A),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,M=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,M=x*h*f;break;case 1:b=d,_=v,k=m*f,M=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,M=x*f*h}var O=i[b+w+k],D=i[b+w+M],R=i[b+T+k],F=i[b+T+M],B=i[_+w+k],N=i[_+w+M],j=i[_+T+k],U=i[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Y=n.create(),W=n.create();n.lerp(Y,V,H,P),n.lerp(W,q,G,P);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*i&&I.length<i&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){I.push(N),O=N,P.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":346,\"gl-cone3d\":260,\"gl-vec3\":377,\"gl-vec4\":413}],349:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 localCoordinate = vec3(uv.zw, f.x);\\n worldCoordinate = objectOffset + localCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n vec4 clipPosition = projection * view * worldPosition;\\n gl_Position = clipPosition;\\n kill = f.y;\\n value = f.z;\\n planeCoordinate = uv.xy;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * worldPosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n lightDirection = lightPosition - cameraCoordinate.xyz;\\n eyeDirection = eyePosition - cameraCoordinate.xyz;\\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness) {\\n return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n if (\\n kill > 0.0 ||\\n vColor.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n ) discard;\\n\\n vec3 N = normalize(surfaceNormal);\\n vec3 V = normalize(eyeDirection);\\n vec3 L = normalize(lightDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n //decide how to interpolate color \\u2014 in vertex or in fragment\\n vec4 surfaceColor =\\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n step(.5, vertexColor) * vColor;\\n\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n worldCoordinate = objectOffset + dataCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n vec4 clipPosition = projection * view * worldPosition;\\n clipPosition.z += zOffset;\\n\\n gl_Position = clipPosition;\\n value = f + objectOffset.z;\\n kill = -1.0;\\n planeCoordinate = uv.zw;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Don't do lighting for contours\\n surfaceNormal = vec3(1,0,0);\\n eyeDirection = vec3(0,1,0);\\n lightDirection = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n float vh = 255.0 * v;\\n float upper = floor(vh);\\n float lower = fract(vh);\\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n if ((kill > 0.0) ||\\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":335,glslify:350}],350:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],351:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function 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=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var I={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},P=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=P;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=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=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,C=A*w-S*_,L=_*M-w*k,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),b.set(o,v,0,E*I),b.set(o,v,1,C*I),b.set(o,v,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),C=b.get(Y+1,W+1,1),L=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=C,N[j++]=L,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,J),z[0]=Math.max(z[0],X+this.objectOffset[0]),z[1]=Math.max(z[1],Z+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var vt=q?ht:1-ht;if(W=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,i[1]),E=M-A,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*f.get(_,A)+I*f.get(_,S)+P*f.get(w,A)+z*f.get(w,S),D=L*p.get(_,A)+I*p.get(_,S)+P*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":349,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495,\"ndarray-gradient\":488,\"ndarray-ops\":490,\"ndarray-pack\":491,\"surface-nets\":570,\"typedarray-pool\":595}],352:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var O=this.counts[P],D=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],I[2*z]=D.width[B],F){var j=I[2*z-2],U=I[2*z],V=I[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}I[2*z+1]=V}else I[2*z+1]=.5*I[2*z];z++}this.textWidth.push(I.length?.5*I[2*z-2]+I[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:I,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(I),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":354,\"is-plain-obj\":469,\"object-assign\":499,\"parse-rect\":504,\"parse-unit\":506,\"pick-by-alias\":511,regl:540,\"to-px\":578,\"typedarray-pool\":595}],353:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,f=0;f<=r;++f){var h=u[f];i[f]=h<0?e:a[h]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)a[u]=i[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var f=c[u];if(!(f.lastVisited>=r)){var h=a[u];a[u]=t;var p=this.orient();if(a[u]=h,p<0){s=f;continue t}f.boundary?f.lastVisited=-r:f.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,f=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var h=[];f.length>0;){var p=(e=f.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=i[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),f.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new a(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}h.push(new o(S,k,b))}}}}}}h.sort(s);for(m=0;m+1<h.length;m+=2){var I=h[m],P=h[m+1],z=I.index,O=P.index;z<0||O<0||(I.cell.adjacent[I.index]=P.cell,P.cell.adjacent[P.index]=I.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var f=o[0];o[0]=o[1],o[1]=f}e.push(o)}}return e}},{\"robust-orientation\":548,\"simplicial-complex\":558}],460:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function i(t,e,r,n,i){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=i,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var a=i.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var i=r(t[n]);if(i)return i}}function f(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var i=r(t[n]);if(i)return i}}function h(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],a=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?a.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new i(n,m(a),m(o),c,u)}function v(t){this.root=t}a.intervals=function(t){return 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this.leftPoints[0]===t?2:0;if(1===this.leftPoints.length&&this.leftPoints[0]===t){if(this.left&&this.right){for(var r=this,i=this.left;i.right;)r=i,i=i.right;if(r===this)i.right=this.right;else{var a=this.left,s=this.right;r.count-=i.count,r.right=i.left,i.left=a,i.right=s}o(this,i),this.count=(this.left?this.left.count:0)+(this.right?this.right.count:0)+this.leftPoints.length}else this.left?o(this,this.left):o(this,this.right);return 1}for(a=n.ge(this.leftPoints,t,d);a<this.leftPoints.length&&this.leftPoints[a][0]===t[0];++a)if(this.leftPoints[a]===t){this.count-=1,this.leftPoints.splice(a,1);for(s=n.ge(this.rightPoints,t,g);s<this.rightPoints.length&&this.rightPoints[s][1]===t[1];++s)if(this.rightPoints[s]===t)return this.rightPoints.splice(s,1),1}return 0},a.queryPoint=function(t,e){if(t<this.mid){if(this.left)if(r=this.left.queryPoint(t,e))return r;return u(this.leftPoints,t,e)}if(t>this.mid){var r;if(this.right)if(r=this.right.queryPoint(t,e))return r;return f(this.rightPoints,t,e)}return h(this.leftPoints,e)},a.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?f(this.rightPoints,t,r):h(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new i(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":461}],461:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],462:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],463:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],464:[function(t,e,r){e.exports=!0},{}],465:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
+ "/*!\n",
+ " * Determine if an object is a Buffer\n",
+ " *\n",
+ " * @author Feross Aboukhadijeh <https://feross.org>\n",
+ " * @license MIT\n",
+ " */\n",
+ "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],466:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],467:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],468:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],469:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],470:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],471:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],472:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],473:[function(t,e,r){!function(t,n){\"object\"==typeof r&&\"undefined\"!=typeof e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,i){if(t)if(e){var a=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=i(o)).workerUrl=window.URL.createObjectURL(new Blob([a],{type:\"text/javascript\"}))}else e=i;else t=i}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,i,a,o;for(void 0===e&&(e=1e-6),i=t,o=0;o<8;o++){if(a=this.sampleCurveX(i)-t,Math.abs(a)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=a/s}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(a=this.sampleCurveX(i),Math.abs(a-t)<e)return i;t>a?r=i:n=i,i=.5*(n-r)+r}return i},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var i=a;function a(t,e){this.x=t,this.y=e}function o(t,e,n,i){var a=new r(t,e,n,i);return function(t){return 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r={transparent:[0,0,0,0],aliceblue:[240,248,255,1],antiquewhite:[250,235,215,1],aqua:[0,255,255,1],aquamarine:[127,255,212,1],azure:[240,255,255,1],beige:[245,245,220,1],bisque:[255,228,196,1],black:[0,0,0,1],blanchedalmond:[255,235,205,1],blue:[0,0,255,1],blueviolet:[138,43,226,1],brown:[165,42,42,1],burlywood:[222,184,135,1],cadetblue:[95,158,160,1],chartreuse:[127,255,0,1],chocolate:[210,105,30,1],coral:[255,127,80,1],cornflowerblue:[100,149,237,1],cornsilk:[255,248,220,1],crimson:[220,20,60,1],cyan:[0,255,255,1],darkblue:[0,0,139,1],darkcyan:[0,139,139,1],darkgoldenrod:[184,134,11,1],darkgray:[169,169,169,1],darkgreen:[0,100,0,1],darkgrey:[169,169,169,1],darkkhaki:[189,183,107,1],darkmagenta:[139,0,139,1],darkolivegreen:[85,107,47,1],darkorange:[255,140,0,1],darkorchid:[153,50,204,1],darkred:[139,0,0,1],darksalmon:[233,150,122,1],darkseagreen:[143,188,143,1],darkslateblue:[72,61,139,1],darkslategray:[47,79,79,1],darkslategrey:[47,79,79,1],darkturquoise:[0,206,209,1],darkviolet:[148,0,211,1],deeppink:[255,20,147,1],deepskyblue:[0,191,255,1],dimgray:[105,105,105,1],dimgrey:[105,105,105,1],dodgerblue:[30,144,255,1],firebrick:[178,34,34,1],floralwhite:[255,250,240,1],forestgreen:[34,139,34,1],fuchsia:[255,0,255,1],gainsboro:[220,220,220,1],ghostwhite:[248,248,255,1],gold:[255,215,0,1],goldenrod:[218,165,32,1],gray:[128,128,128,1],green:[0,128,0,1],greenyellow:[173,255,47,1],grey:[128,128,128,1],honeydew:[240,255,240,1],hotpink:[255,105,180,1],indianred:[205,92,92,1],indigo:[75,0,130,1],ivory:[255,255,240,1],khaki:[240,230,140,1],lavender:[230,230,250,1],lavenderblush:[255,240,245,1],lawngreen:[124,252,0,1],lemonchiffon:[255,250,205,1],lightblue:[173,216,230,1],lightcoral:[240,128,128,1],lightcyan:[224,255,255,1],lightgoldenrodyellow:[250,250,210,1],lightgray:[211,211,211,1],lightgreen:[144,238,144,1],lightgrey:[211,211,211,1],lightpink:[255,182,193,1],lightsalmon:[255,160,122,1],lightseagreen:[32,178,170,1],lightskyblue:[135,206,250,1],lightslategray:[119,136,153,1],lightslategrey:[119,136,153,1],lightsteelblue:[176,196,222,1],lightyellow:[255,255,224,1],lime:[0,255,0,1],limegreen:[50,205,50,1],linen:[250,240,230,1],magenta:[255,0,255,1],maroon:[128,0,0,1],mediumaquamarine:[102,205,170,1],mediumblue:[0,0,205,1],mediumorchid:[186,85,211,1],mediumpurple:[147,112,219,1],mediumseagreen:[60,179,113,1],mediumslateblue:[123,104,238,1],mediumspringgreen:[0,250,154,1],mediumturquoise:[72,209,204,1],mediumvioletred:[199,21,133,1],midnightblue:[25,25,112,1],mintcream:[245,255,250,1],mistyrose:[255,228,225,1],moccasin:[255,228,181,1],navajowhite:[255,222,173,1],navy:[0,0,128,1],oldlace:[253,245,230,1],olive:[128,128,0,1],olivedrab:[107,142,35,1],orange:[255,165,0,1],orangered:[255,69,0,1],orchid:[218,112,214,1],palegoldenrod:[238,232,170,1],palegreen:[152,251,152,1],paleturquoise:[175,238,238,1],palevioletred:[219,112,147,1],papayawhip:[255,239,213,1],peachpuff:[255,218,185,1],peru:[205,133,63,1],pink:[255,192,203,1],plum:[221,160,221,1],powderblue:[176,224,230,1],purple:[128,0,128,1],rebeccapurple:[102,51,153,1],red:[255,0,0,1],rosybrown:[188,143,143,1],royalblue:[65,105,225,1],saddlebrown:[139,69,19,1],salmon:[250,128,114,1],sandybrown:[244,164,96,1],seagreen:[46,139,87,1],seashell:[255,245,238,1],sienna:[160,82,45,1],silver:[192,192,192,1],skyblue:[135,206,235,1],slateblue:[106,90,205,1],slategray:[112,128,144,1],slategrey:[112,128,144,1],snow:[255,250,250,1],springgreen:[0,255,127,1],steelblue:[70,130,180,1],tan:[210,180,140,1],teal:[0,128,128,1],thistle:[216,191,216,1],tomato:[255,99,71,1],turquoise:[64,224,208,1],violet:[238,130,238,1],wheat:[245,222,179,1],white:[255,255,255,1],whitesmoke:[245,245,245,1],yellow:[255,255,0,1],yellowgreen:[154,205,50,1]};function n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return n(\"%\"===t[t.length-1]?parseFloat(t)/100*255:parseInt(t))}function a(t){return(e=\"%\"===t[t.length-1]?parseFloat(t)/100:parseFloat(t))<0?0:e>1?1:e;var e}function o(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,s=t.replace(/ /g,\"\").toLowerCase();if(s in r)return r[s].slice();if(\"#\"===s[0])return 4===s.length?(e=parseInt(s.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===s.length&&(e=parseInt(s.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=s.indexOf(\"(\"),c=s.indexOf(\")\");if(-1!==l&&c+1===s.length){var u=s.substr(0,l),f=s.substr(l+1,c-(l+1)).split(\",\"),h=1;switch(u){case\"rgba\":if(4!==f.length)return null;h=a(f.pop());case\"rgb\":return 3!==f.length?null:[i(f[0]),i(f[1]),i(f[2]),h];case\"hsla\":if(4!==f.length)return 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Qt=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\"})};Qt.prototype.compare=function(t,e){return this.collator.compare(t,e)},Qt.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var $t=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},te=function(t){this.sections=t};te.fromString=function(t){return new te([new $t(t,null,null,null,null)])},te.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}))},te.factory=function(t){return t instanceof te?t:te.fromString(t)},te.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},te.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 ee=function(t){this.name=t.name,this.available=t.available};function re(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 ne(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 Kt)return!0;if(t instanceof Qt)return!0;if(t instanceof te)return!0;if(t instanceof ee)return!0;if(Array.isArray(t)){for(var e=0,r=t;e<r.length;e+=1)if(!ne(r[e]))return!1;return!0}if(\"object\"==typeof t){for(var n in t)if(!ne(t[n]))return!1;return!0}return!1}function ie(t){if(null===t)return Ot;if(\"string\"==typeof t)return Rt;if(\"boolean\"==typeof t)return Ft;if(\"number\"==typeof t)return Dt;if(t instanceof Kt)return Bt;if(t instanceof Qt)return Ut;if(t instanceof te)return Vt;if(t instanceof ee)return qt;if(Array.isArray(t)){for(var e,r=t.length,n=0,i=t;n<i.length;n+=1){var a=ie(i[n]);if(e){if(e===a)continue;e=jt;break}e=a}return Ht(e||jt,r)}return Nt}function ae(t){var e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Kt||t instanceof te||t instanceof ee?t.toString():JSON.stringify(t)}ee.prototype.toString=function(){return this.name},ee.fromString=function(t){return t?new ee({name:t,available:!1}):null},ee.prototype.serialize=function(){return[\"image\",this.name]};var oe=function(t,e){this.type=t,this.value=e};oe.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!ne(t[1]))return e.error(\"invalid value\");var r=t[1],n=ie(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 oe(n,r)},oe.prototype.evaluate=function(){return this.value},oe.prototype.eachChild=function(){},oe.prototype.outputDefined=function(){return!0},oe.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof Kt?[\"rgba\"].concat(this.value.toArray()):this.value instanceof te?this.value.serialize():this.value};var se=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};se.prototype.toJSON=function(){return this.message};var le={string:Rt,number:Dt,boolean:Ft,object:Nt},ce=function(t,e){this.type=t,this.args=e};ce.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 le)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=le[s],n++}else a=jt;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=Ht(a,o)}else r=le[i];for(var l=[];n<t.length;n++){var c=e.parse(t[n],n,jt);if(!c)return null;l.push(c)}return new ce(r,l)},ce.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!Wt(this.type,ie(r)))return r;if(e===this.args.length-1)throw new se(\"Expected value to be of type \"+Gt(this.type)+\", but found \"+Gt(ie(r))+\" instead.\")}return null},ce.prototype.eachChild=function(t){this.args.forEach(t)},ce.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ce.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 ue=function(t){this.type=Vt,this.sections=t};ue.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,Dt)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,Ht(Rt))))return null;var c=null;if(o[\"text-color\"]&&!(c=e.parse(o[\"text-color\"],1,Bt)))return null;var u=n[n.length-1];u.scale=s,u.font=l,u.textColor=c}else{var f=e.parse(t[a],1,jt);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 ue(n)},ue.prototype.evaluate=function(t){return new te(this.sections.map((function(e){var r=e.content.evaluate(t);return ie(r)===qt?new $t(\"\",r,null,null,null):new $t(ae(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},ue.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)}},ue.prototype.outputDefined=function(){return!1},ue.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 fe=function(t){this.type=qt,this.input=t};fe.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,Rt);return r?new fe(r):e.error(\"No image name provided.\")},fe.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ee.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},fe.prototype.eachChild=function(t){t(this.input)},fe.prototype.outputDefined=function(){return!1},fe.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var he={\"to-boolean\":Ft,\"to-color\":Bt,\"to-number\":Dt,\"to-string\":Rt},pe=function(t,e){this.type=t,this.args=e};pe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[0];if((\"to-boolean\"===r||\"to-string\"===r)&&2!==t.length)return e.error(\"Expected one argument.\");for(var n=he[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,jt);if(!o)return null;i.push(o)}return new pe(n,i)},pe.prototype.evaluate=function(t){if(\"boolean\"===this.type.kind)return Boolean(this.args[0].evaluate(t));if(\"color\"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof Kt)return e;if(\"string\"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?\"Invalid rbga value \"+JSON.stringify(e)+\": expected an array containing either three or four numeric values.\":re(e[0],e[1],e[2],e[3])))return new Kt(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new se(r||\"Could not parse color from value '\"+(\"string\"==typeof e?e:String(JSON.stringify(e)))+\"'\")}if(\"number\"===this.type.kind){for(var o=null,s=0,l=this.args;s<l.length;s+=1){if(null===(o=l[s].evaluate(t)))return 0;var c=Number(o);if(!isNaN(c))return c}throw new se(\"Could not convert \"+JSON.stringify(o)+\" to number.\")}return\"formatted\"===this.type.kind?te.fromString(ae(this.args[0].evaluate(t))):\"resolvedImage\"===this.type.kind?ee.fromString(ae(this.args[0].evaluate(t))):ae(this.args[0].evaluate(t))},pe.prototype.eachChild=function(t){this.args.forEach(t)},pe.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},pe.prototype.serialize=function(){if(\"formatted\"===this.type.kind)return new ue([{content:this.args[0],scale:null,font:null,textColor:null}]).serialize();if(\"resolvedImage\"===this.type.kind)return new fe(this.args[0]).serialize();var t=[\"to-\"+this.type.kind];return this.eachChild((function(e){t.push(e.serialize())})),t};var de=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],ge=function(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null};ge.prototype.id=function(){return this.feature&&\"id\"in this.feature?this.feature.id:null},ge.prototype.geometryType=function(){return this.feature?\"number\"==typeof this.feature.type?de[this.feature.type]:this.feature.type:null},ge.prototype.geometry=function(){return this.feature&&\"geometry\"in this.feature?this.feature.geometry:null},ge.prototype.canonicalID=function(){return this.canonical},ge.prototype.properties=function(){return this.feature&&this.feature.properties||{}},ge.prototype.parseColor=function(t){var e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=Kt.parse(t)),e};var me=function(t,e,r,n){this.name=t,this.type=e,this._evaluate=r,this.args=n};me.prototype.evaluate=function(t){return 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a=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[a],e[a+1]),s=r[a].evaluate(t),l=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.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 ir=function(t,e){this.type=t,this.args=e};ir.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=e.parse(o[a],1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,i.push(s)}var l=n&&i.some((function(t){return Wt(n,t.type)}));return new ir(l?jt:r,i)},ir.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 ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},ir.prototype.eachChild=function(t){this.args.forEach(t)},ir.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ir.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};ar.prototype.evaluate=function(t){return this.result.evaluate(t)},ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},ar.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 ar(r,o):null},ar.prototype.outputDefined=function(){return this.result.outputDefined()},ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e];t.push(n[0],n[1].serialize())}return t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.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,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Xt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Zt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ie(e))+\" instead.\");if(!Zt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ie(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.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,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Xt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Dt);return i?new lr(r,n,i):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Zt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ie(e))+\" instead.\");if(!Zt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ie(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var 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e=this.input.evaluate(t);return(ie(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];e.push(1===h.length?s(h[0]):h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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fr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function hr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,jt);if(!a)return null;if(!hr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(a.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!hr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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0,o={}),e=e.concat(Xr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Vr(It(a[1]))?e.concat([new St(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return Lr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(It(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". 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en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(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(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(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\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(It(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+i+\" found\"));for(var s=2;s<r.length;s++)i=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:a.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==i&&\"number\"!==i&&\"boolean\"!==i&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+i+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":i=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==i&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+i+\" found\"));break;case\"within\":i=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==i&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+i+\" found\"))}return o}(t)}function fn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,a,'unknown property \"'+o+'\"')];if(\"string\"===zr(a)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new St(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new St(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(It(a))&&\"identity\"===Lt(a.type)&&f.push(new St(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Lt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(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 St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Xr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Xr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Xr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return hn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,gn({key:e+\".\"+i,value:r[i]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var a,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Xr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(a=Xr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),a.push.apply(a,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return Xr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return Xr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return $r({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function yn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=zr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new St(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=a.concat(l&&n[l[1]]&&n[l[1]].transition?bn({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r}):n[s]?bn({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r}):[new St(s,e[s],'unknown property \"'+s+'\"')])}return a}var xn={\"*\":function(){return[]},array:Zr,boolean:function(t){var e=t.value,r=t.key,n=zr(e);return\"boolean\"!==n?[new St(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:Jr,color:function(t){var e=t.key,r=t.value,n=zr(r);return\"string\"!==n?[new St(e,r,\"color expected, \"+n+\" 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r=r.concat(bn({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:_n,\"*\":function(){return[]}}})),t.constants&&(r=r.concat(Et({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),Tn(r)}function Tn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function kn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Tn(t.apply(this,e))}}wn.source=kn(vn),wn.light=kn(yn),wn.layer=kn(dn),wn.filter=kn(un),wn.paintProperty=kn(hn),wn.layoutProperty=kn(pn);var Mn=wn,An=Mn.light,Sn=Mn.paintProperty,En=Mn.layoutProperty;function Cn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1)t.fire(new kt(new Error(i[n].message))),r=!0;return r}var Ln=In;function In(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],this.d=(e=i[1])+2*(r=i[2]);for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length+1];this.keys=i.subarray(i[3+n.length],l),this.bboxes=i.subarray(l),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 u=r/e*t;this.min=-u,this.max=t+u}In.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)},In.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},In.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},In.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},In.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var c=this.keys,u=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[h]=!0,a.push(c[h])):o[h]=!1}}},In.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=u;h++)for(var p=c;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}},In.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},In.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},In.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),i[3+t.length+1]=a+=this.keys.length,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Pn=self.ImageData,zn=self.ImageBitmap,On={};function Dn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),On[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var Rn in Dn(\"Object\",Object),Ln.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Ln.deserialize=function(t){return new Ln(t.buffer)},Dn(\"Grid\",Ln),Dn(\"Color\",Kt),Dn(\"Error\",Error),Dn(\"ResolvedImage\",ee),Dn(\"StylePropertyFunction\",Wr),Dn(\"StyleExpression\",Ur,{omit:[\"_evaluator\"]}),Dn(\"ZoomDependentExpression\",Gr),Dn(\"ZoomConstantExpression\",Hr),Dn(\"CompoundExpression\",me,{omit:[\"_evaluate\"]}),Tr)Tr[Rn]._classRegistryKey||Dn(\"Expression_\"+Rn,Tr[Rn]);function Fn(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function Bn(t){return zn&&t instanceof zn}function Nn(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(Fn(t)||Bn(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof Pn)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1)n.push(Nn(a[i],e));return n}if(\"object\"==typeof t){var o=t.constructor,s=o._classRegistryKey;if(!s)throw new Error(\"can't serialize object of unregistered class\");var l=o.serialize?o.serialize(t,e):{};if(!o.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(On[s].omit.indexOf(c)>=0)){var u=t[c];l[c]=On[s].shallow.indexOf(c)>=0?u:Nn(u,e)}t instanceof Error&&(l.message=t.message)}if(l.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==s&&(l.$name=s),l}throw new Error(\"can't serialize object of type \"+typeof t)}function jn(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||Fn(t)||Bn(t)||ArrayBuffer.isView(t)||t instanceof Pn)return t;if(Array.isArray(t))return t.map(jn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=On[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if(\"$name\"!==o){var s=t[o];n[o]=On[e].shallow.indexOf(o)>=0?s:jn(s)}}return n}throw new Error(\"can't deserialize object of type \"+typeof t)}var Un=function(){this.first=!0};Un.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var Vn={\"Latin-1 Supplement\":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},\"Arabic Supplement\":function(t){return t>=1872&&t<=1919},\"Arabic Extended-A\":function(t){return t>=2208&&t<=2303},\"Hangul Jamo\":function(t){return t>=4352&&t<=4607},\"Unified Canadian 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 Characters\":function(t){return t>=12272&&t<=12287},\"CJK Symbols and Punctuation\":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},\"Hangul Compatibility Jamo\":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},\"Bopomofo Extended\":function(t){return t>=12704&&t<=12735},\"CJK Strokes\":function(t){return t>=12736&&t<=12783},\"Katakana Phonetic Extensions\":function(t){return t>=12784&&t<=12799},\"Enclosed CJK Letters and Months\":function(t){return t>=12800&&t<=13055},\"CJK Compatibility\":function(t){return t>=13056&&t<=13311},\"CJK Unified Ideographs Extension A\":function(t){return t>=13312&&t<=19903},\"Yijing Hexagram Symbols\":function(t){return t>=19904&&t<=19967},\"CJK Unified Ideographs\":function(t){return t>=19968&&t<=40959},\"Yi Syllables\":function(t){return t>=40960&&t<=42127},\"Yi Radicals\":function(t){return t>=42128&&t<=42191},\"Hangul Jamo Extended-A\":function(t){return t>=43360&&t<=43391},\"Hangul Syllables\":function(t){return t>=44032&&t<=55215},\"Hangul Jamo Extended-B\":function(t){return t>=55216&&t<=55295},\"Private Use Area\":function(t){return t>=57344&&t<=63743},\"CJK Compatibility Ideographs\":function(t){return t>=63744&&t<=64255},\"Arabic Presentation Forms-A\":function(t){return t>=64336&&t<=65023},\"Vertical Forms\":function(t){return t>=65040&&t<=65055},\"CJK Compatibility Forms\":function(t){return t>=65072&&t<=65103},\"Small Form Variants\":function(t){return t>=65104&&t<=65135},\"Arabic Presentation Forms-B\":function(t){return t>=65136&&t<=65279},\"Halfwidth and Fullwidth Forms\":function(t){return t>=65280&&t<=65519}};function qn(t){for(var e=0,r=t;e<r.length;e+=1)if(Hn(r[e].charCodeAt(0)))return!0;return!1}function Hn(t){return!(746!==t&&747!==t&&(t<4352||!(Vn[\"Bopomofo Extended\"](t)||Vn.Bopomofo(t)||Vn[\"CJK Compatibility 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},ii.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ai=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ai.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ai.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oi=function(t){this.property=t,this.value=new ai(t,void 0)};oi.prototype.transitioned=function(t,e){return new li(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oi.prototype.untransitioned=function(){return new li(this.property,this.value,null,{},0)};var si=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};si.prototype.getValue=function(t){return x(this._values[t].value.value)},si.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].value=new ai(this._values[t].property,null===e?void 0:x(e))},si.prototype.getTransition=function(t){return x(this._values[t].transition)},si.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].transition=x(e)||void 0},si.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},si.prototype.transitioned=function(t,e){for(var r=new ci(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},si.prototype.untransitioned=function(){for(var t=new ci(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 li=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)};li.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 ci=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ci.prototype.possiblyEvaluate=function(t,e,r){for(var n=new hi(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},ci.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ui=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ui.prototype.getValue=function(t){return x(this._values[t].value)},ui.prototype.setValue=function(t,e){this._values[t]=new ai(this._values[t].property,null===e?void 0:x(e))},ui.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},ui.prototype.possiblyEvaluate=function(t,e,r){for(var n=new hi(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 fi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};fi.prototype.isConstant=function(){return\"constant\"===this.value.kind},fi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},fi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var hi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};hi.prototype.get=function(t){return this._values[t]};var pi=function(t){this.specification=t};pi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pi.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var di=function(t,e){this.specification=t,this.overrides=e};di.prototype.possiblyEvaluate=function(t,e,r,n){return new fi(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},di.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 fi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new fi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},di.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new fi(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 fi(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 fi(this,{kind:\"constant\",value:s},e)}return new fi(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}(di),mi=function(t){this.specification=t};mi.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 ii(Math.floor(e.zoom-1),e)),t.expression.evaluate(new ii(Math.floor(e.zoom),e)),t.expression.evaluate(new ii(Math.floor(e.zoom+1),e)),e)}},mi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},mi.prototype.interpolate=function(t){return t};var vi=function(t){this.specification=t};vi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},vi.prototype.interpolate=function(){return!1};var yi=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 ai(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new oi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",di),Dn(\"DataConstantProperty\",pi),Dn(\"CrossFadedDataDrivenProperty\",gi),Dn(\"CrossFadedProperty\",mi),Dn(\"ColorRampProperty\",vi);var xi=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=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 ui(r.layout)),r.paint)){for(var n in this._transitionablePaint=new si(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 hi(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],i=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],a=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||a||i||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,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 fi&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),bi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ti(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i=bi[t.type].BYTES_PER_ELEMENT,a=r=ki(r,Math.max(e,i)),o=t.components||1;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ki(r,Math.max(n,e)),alignment:e}}function ki(t,e){return Math.ceil(t/e)*e}wi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wi.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},wi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wi.prototype.clear=function(){this.length=0},wi.prototype.resize=function(t){this.reserve(t),this.length=t},wi.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)}},wi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Mi.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Mi);var Ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(wi);Ai.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Ai);var Si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Si.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Si);var Ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ei.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ei);var Ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(wi);Ci.prototype.bytesPerElement=18,Dn(\"StructArrayLayout8ui2ub18\",Ci);var Li=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(wi);Li.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",Li);var Ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ii.prototype.bytesPerElement=12,Dn(\"StructArrayLayout3f12\",Ii);var Pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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){return this.uint32[1*t+0]=e,t},e}(wi);Pi.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1ul4\",Pi);var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(wi);zi.prototype.bytesPerElement=20,Dn(\"StructArrayLayout6i1ul2ui20\",zi);var Oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Oi.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i2i2i12\",Oi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Di.prototype.bytesPerElement=16,Dn(\"StructArrayLayout2f1f2i16\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(wi);Ri.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2ub2f12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(wi);Fi.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3ui6\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wi);Bi.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*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.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=f,this.uint16[C+11]=h,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wi);Ni.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wi);ji.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(wi);Ui.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ui);var 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a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Sa.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))},Sa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ea=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};Ea.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new ii(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new ii(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ea.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)},Ea.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=ka(r),a=ka(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))}},Ea.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))},Ea.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ea.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ea.prototype.getBinding=function(t,e,r){return new va(t,e)};var Ca=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};Ca.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)},Ca.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Ca.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=n[r.min],a=n[r.mid],o=n[r.max];if(i&&a&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],i.tl[0],i.tl[1],i.br[0],i.br[1],a.pixelRatio,i.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],a.pixelRatio,o.pixelRatio)}},Ca.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oa.members,this.expression.isStateDependent))},Ca.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var La=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 fi&&Lr(o.property.specification)){var s=Pa(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Aa(l.value,s):new Ma(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=za(a,c,\"source\");this.binders[a]=h?new Ca(l,c,u,e,p,t.id):new Sa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=za(a,c,\"composite\");this.binders[a]=new Ea(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};La.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Sa||e instanceof Ea?e.maxValue:0},La.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Sa||o instanceof Ea||o instanceof Ca)&&o.populatePaintArray(t,e,r,n,i)}},La.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Aa&&n.setConstantPatternPositions(t,e)}},La.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Sa||h instanceof Ea||h instanceof Ca)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},La.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Ma||r instanceof Aa)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},La.prototype.getPaintVertexBuffers=function(){return this._buffers},La.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Ma||i instanceof Aa||i instanceof Ea)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},La.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;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},La.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ca){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Sa||r instanceof Ea)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},La.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Sa||r instanceof Ea||r instanceof Ca)&&r.upload(t)}this.updatePaintBuffers()},La.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Sa||e instanceof Ea||e instanceof Ca)&&e.destroy()}};var Ia=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 La(o,r,n,t)}this.needsUpload=!1,this._featureMap=new fa,this._bufferOffset=0};function Pa(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 za(t,e,r){var n={color:{source:Gi,composite:Yi},number:{source:ji,composite:Gi}},i=function(t){return{\"line-pattern\":{source:Ci,composite:Ci},\"fill-pattern\":{source:Ci,composite:Ci},\"fill-extrusion-pattern\":{source:Ci,composite:Ci}}[t]}(t);return i&&i[r]||n[e][r]}Ia.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},Ia.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}},Ia.prototype.get=function(t){return this.programConfigurations[t]},Ia.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ia.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Ma),Dn(\"CrossFadedConstantBinder\",Aa),Dn(\"SourceExpressionBinder\",Sa),Dn(\"CrossFadedCompositeBinder\",Ca),Dn(\"CompositeExpressionBinder\",Ea),Dn(\"ProgramConfiguration\",La,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Ia);var Oa={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Da(t){for(var e=8192/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<Oa.min||o.x>Oa.max||o.y<Oa.min||o.y>Oa.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oa.min,Oa.max),o.y=l(o.y,Oa.min,Oa.max))}return r}function Ra(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Fa=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 Mi,this.indexArray=new Fi,this.segments=new ia,this.programConfigurations=new Ia(na,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ba(t,e){for(var r=0;r<t.length;r++)if(Wa(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wa(t,e[n]))return!0;return!!Va(t,e)}function Na(t,e,r){return!!Wa(t,e)||!!Ha(e,t,r)}function ja(t,e){if(1===t.length)return Ya(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Wa(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ya(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Va(t,e[o]))return!0;return!1}function Ua(t,e,r){if(t.length>1){if(Va(t,e))return!0;for(var n=0;n<e.length;n++)if(Ha(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(Ha(t[i],e,r))return!0;return!1}function Va(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++)if(qa(n,i,e[a],e[a+1]))return!0;return!1}function qa(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Ha(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++)if(Ga(t,e[i-1],e[i])<n)return!0;return!1}function Ga(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(i<0?e:i>1?r:r.sub(e)._mult(i)._add(e))}function Ya(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(i=r[l]).y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function Wa(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function Xa(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,r[0]);return a!==w(t,e,r[1])||a!==w(t,e,r[2])||a!==w(t,e,r[3])}function Za(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ja(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ka(t,e,r,n,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fa.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Da(c):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),d,r)){p||(d.geometry=Da(c));var g=a?a.evaluate(d,{},r):void 0;i.push({id:u,properties:c.properties,type:c.type,sourceLayerIndex:h,index:f,geometry:d.geometry,patterns:{},sortKey:g})}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y.geometry,b=y.index,_=y.sourceLayerIndex,w=t[b].feature;this.addFeature(y,x,b,r),e.featureIndex.insert(w,x,b,_,this.index)}},Fa.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Fa.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Fa.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fa.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,na),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fa.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=f.vertexLength;Ra(this.layoutVertexArray,c,u,-1,-1),Ra(this.layoutVertexArray,c,u,1,-1),Ra(this.layoutVertexArray,c,u,1,1),Ra(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),f.vertexLength+=4,f.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)},Dn(\"CircleBucket\",Fa,{omit:[\"layers\"]});var Qa=new yi({\"circle-sort-key\":new di(At.layout_circle[\"circle-sort-key\"])}),$a={paint:new yi({\"circle-radius\":new di(At.paint_circle[\"circle-radius\"]),\"circle-color\":new di(At.paint_circle[\"circle-color\"]),\"circle-blur\":new di(At.paint_circle[\"circle-blur\"]),\"circle-opacity\":new di(At.paint_circle[\"circle-opacity\"]),\"circle-translate\":new pi(At.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=us(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var fs=hs;function hs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new fs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}hs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:fs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,i*vs*2,a*vs*2,Math.round(s))}var xs=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 Si,this.indexArray=new Fi,this.programConfigurations=new Ia(os,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Da(o):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Da(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Qo(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>8192}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){f.vertexLength+4>ia.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>ia.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=f.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var 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a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Ts(s,s),f=Ts(s,l),h=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=i.z*(1-m-v)+r.z*m+a.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ti([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=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 Ei,this.indexArray=new Fi,this.programConfigurations=new Ia(Ms,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return 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a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1)this.addLine(f[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Cs.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\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 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o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,a,!1,r,i),this.addHalfVertex(t,o,s,a,!0,-n,i),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Cs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),i?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new yi({\"line-cap\":new 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n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Zs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Zs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,il,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var hl=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(hl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=fl(i),o=new po({width:a.w||1,height:a.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var f=e[u],h=n[u].paddedRect,p=h.x+1,d=h.y+1,g=f.data.width,m=f.data.height;po.copy(f.data,o,{x:0,y:0},{x:p,y:d},f.data),po.copy(f.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(f.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(f.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(f.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new hl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",hl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=vl.fromFeature(t,i);f===gl.vertical&&v.verticalizePunctuation();var y=ni.processBidirectionalText,x=ni.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,a,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,Ml(v,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,I=null,P=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,L=w+(24-F[1]*S.scale),O=(I={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:h,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),h+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:h,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),h+=I.advance*S.scale+c)}0!==k.length&&(d=Math.max(h-c,d),Sl(k,0,k.length-1,m,M)),h=0;var q=a*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=a,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,X=Y.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c,u=(e-r)*i;c=a!==o?-s*n- -17:(-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 g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,X,d,g,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.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;e+=n&&Gn(n)&&!Us[t[r+1]]||i&&Gn(i)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.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(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function wl(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 Tl(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 kl(t,e,r,n,i,a){for(var o=null,s=wl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],f=wl(e-u.x,r,i,a)+u.badness;f<=s&&(o=u,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(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(\"\\u200b\")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(xl[d]||(f+=_l(d,p,n,i,e,o)),h<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,g=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+g+n[1]):f=(p=i[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*a,v=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+m-n[0],h=i[1]+v+n[2]):h=(u=i[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:f,bottom:h,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=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)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);function Ll(t,e){var r=e.expression;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new ii(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:i}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new ii(s)),maxSize:r.evaluate(new ii(l)),interpolationType:i}}function Il(t,e,r){var n=e.uSize,i=r.lowerSize;return\"source\"===t.kind?i/128:\"composite\"===t.kind?Ue(i/128,r.upperSize/128,e.uSizeT):n}function Pl(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var i=t.interpolationType,a=i?l(rr.interpolationFactor(i,e,t.minZoom,t.maxZoom),0,1):0;\"camera\"===t.kind?n=Ue(t.minSize,t.maxSize,a):r=a}return{uSizeT:r,uSize:n}}Dn(\"Anchor\",Cl);var 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h=Hl(n.stretch-x,b,u,t.left),p=Gl(n.fixed-T,k,n.stretch,g),d=Hl(a.stretch-_,w,f,t.top),v=Gl(a.fixed-M,A,a.stretch,m),y=Hl(l.stretch-x,b,u,t.left),S=Gl(l.fixed-T,k,l.stretch,g),E=Hl(c.stretch-_,w,f,t.top),C=Gl(c.fixed-M,A,c.stretch,m),L=new i(h,d),I=new i(y,d),P=new i(y,E),z=new i(h,E),O=new i(p/s,v/s),D=new i(S/s,C/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];L._matMult(N),I._matMult(N),z._matMult(N),P._matMult(N)}var j=n.stretch+n.fixed,U=a.stretch+a.fixed;return{tl:L,tr:I,bl:z,br:P,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+U,w:l.stretch+l.fixed-j,h:c.stretch+c.fixed-U},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:O,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:A/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var C=ql(h,v,g),L=ql(p,y,m),I=0;I<C.length-1;I++)for(var P=C[I],z=C[I+1],O=0;O<L.length-1;O++)a.push(E(P,L[O],z,L[O+1]));else 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k=s[m.imageName];x=k.sdf,y=1/(b=k.pixelRatio)}var M=a?[m.x+T,m.y]:[0,0],A=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],S=[0,0];w&&(S=A,A=[0,0]);var E=(m.metrics.left-y)*m.scale-T+A[0],C=(-m.metrics.top-y)*m.scale+A[1],L=E+v.w*m.scale/b,I=C+v.h*m.scale/b,P=new i(E,C),z=new i(L,C),O=new i(E,I),D=new i(L,I);if(w){var R=new i(-T,T- -17),F=-Math.PI/2,B=12-T,N=new i(22-B,-(m.imageName?B:0)),j=new(Function.prototype.bind.apply(i,[null].concat(S)));P._rotateAround(F,R)._add(N)._add(j),z._rotateAround(F,R)._add(N)._add(j),O._rotateAround(F,R)._add(N)._add(j),D._rotateAround(F,R)._add(N)._add(j)}if(c){var U=Math.sin(c),V=Math.cos(c),q=[V,-U,U,V];P._matMult(q),z._matMult(q),O._matMult(q),D._matMult(q)}var H=new i(0,0),G=new i(0,0);u.push({tl:P,tr:z,bl:O,br:D,tex:v,writingMode:e.writingMode,glyphOffset:M,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:H,pixelOffsetBR:G,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. 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Fi,this.programConfigurations=t,this.segments=new ia,this.dynamicLayoutVertexArray=new Ii,this.opacityVertexArray=new Pi,this.placedSymbolArray=new Ji};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ac,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ia,this.collisionVertexArray=new Ri};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var fc=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=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(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),this.sortFeaturesByY=(\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey)&&(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 gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fc.prototype.createArrays=function(){this.text=new cc(new Ia(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Ia(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $i,this.lineVertexArray=new ta,this.symbolInstances=new Qi},fc.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=Us[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},fc.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 te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new ii(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Da(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Da(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ei()||this.hasRTLText&&ni.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Da(y),properties:y.properties,type:ic[y.type],sortKey:C};if(this.features.push(L),S&&(f[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)f[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||I,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fc.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))},fc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fc.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},fc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,I=b.isSDF,P=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,I,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,I,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,I,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,I,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(z,z+1,z+2),h.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fc.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))},fc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},fc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i);this.addCollisionDebugVertices(a.x1,a.y1,a.x2,a.y2,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oi,Bs.members,qi),this.iconCollisionBox=new uc(Oi,Bs.members,qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},fc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},fc.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))}},fc.prototype.hasTextData=function(){return this.text.segments.get().length>0},fc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fc.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)},fc.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},fc.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})},fc.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=this.symbolInstances.get(n[r]);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,i.verticalPlacedTextSymbolIndex),i.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.placedIconSymbolIndex),i.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",fc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fc.MAX_GLYPHS=65535,fc.addDynamicAttributes=sc;var hc=new yi({\"symbol-placement\":new pi(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pi(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pi(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new di(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pi(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pi(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pi(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pi(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pi(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new di(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pi(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pi(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new di(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new di(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pi(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pi(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new di(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new di(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pi(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pi(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pi(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new di(At.layout_symbol[\"text-field\"]),\"text-font\":new di(At.layout_symbol[\"text-font\"]),\"text-size\":new di(At.layout_symbol[\"text-size\"]),\"text-max-width\":new di(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pi(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new di(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new di(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new di(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pi(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new di(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pi(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pi(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new di(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pi(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pi(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new di(At.layout_symbol[\"text-transform\"]),\"text-offset\":new di(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pi(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pi(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pi(At.layout_symbol[\"text-optional\"])}),pc={paint:new yi({\"icon-opacity\":new di(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new di(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new di(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new di(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new di(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pi(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pi(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new di(At.paint_symbol[\"text-opacity\"]),\"text-color\":new di(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new di(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new di(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new di(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pi(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pi(At.paint_symbol[\"text-translate-anchor\"])}),layout:hc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.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},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"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()||Vr(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 fc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.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 dc(a),s=new Ur(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new fi(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=pc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){i||(t instanceof oe&&ie(t.value)===Vt?a(t.value.sections):t instanceof ue?a(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(xi),mc={paint:new yi({\"background-color\":new pi(At.paint_background[\"background-color\"]),\"background-pattern\":new mi(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pi(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xi),yc={paint:new yi({\"raster-opacity\":new pi(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pi(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pi(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pi(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pi(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pi(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pi(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pi(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xi),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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}(xi),_c={circle:oo,heatmap:vo,hillshade:xo,fill:as,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.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 wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.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)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=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()})};Ec.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))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,a)},a)}:function(t){i=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Ic=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]))};Ic.prototype.setNorthEast=function(t){return this._ne=t instanceof Pc?new Pc(t.lng,t.lat):Pc.convert(t),this},Ic.prototype.setSouthWest=function(t){return this._sw=t instanceof Pc?new Pc(t.lng,t.lat):Pc.convert(t),this},Ic.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Pc)e=t,r=t;else{if(!(t instanceof Ic))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Ic.convert(t)):this.extend(Pc.convert(t)):this;if(r=t._ne,!(e=t._sw)||!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 Pc(e.lng,e.lat),this._ne=new Pc(r.lng,r.lat)),this},Ic.prototype.getCenter=function(){return new Pc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ic.prototype.getSouthWest=function(){return this._sw},Ic.prototype.getNorthEast=function(){return this._ne},Ic.prototype.getNorthWest=function(){return new Pc(this.getWest(),this.getNorth())},Ic.prototype.getSouthEast=function(){return new Pc(this.getEast(),this.getSouth())},Ic.prototype.getWest=function(){return this._sw.lng},Ic.prototype.getSouth=function(){return this._sw.lat},Ic.prototype.getEast=function(){return this._ne.lng},Ic.prototype.getNorth=function(){return this._ne.lat},Ic.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ic.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Ic.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ic.prototype.contains=function(t){var e=Pc.convert(t),r=e.lng,n=e.lat,i=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(i=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&i},Ic.convert=function(t){return!t||t instanceof Ic?t:new Ic(t)};var Pc=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\")};Pc.prototype.wrap=function(){return new Pc(c(this.lng,-180,180),this.lat)},Pc.prototype.toArray=function(){return[this.lng,this.lat]},Pc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Pc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Pc.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 Ic(new Pc(this.lng-r,this.lat-e),new Pc(this.lng+r,this.lat+e))},Pc.convert=function(t){if(t instanceof Pc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Pc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Pc(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 zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Pc.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Pc(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,i,a,o,s=(n=this.y,i=this.z,a=Lc(256*(r=this.x),256*(n=Math.pow(2,i)-n-1),i),o=Lc(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)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+i),this.key=qc(e,t,r,n,i)};function qc(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)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.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},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(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 Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.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))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.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])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.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)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=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}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=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},Wc={geometry:{configurable:!0}};Wc.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},Wc.geometry.set=function(t){this._geometry=t},Yc.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(Yc.prototype,Wc);var Xc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Xc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Xc.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}},Xc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var i=this.deletedStates[t][e];if(null===i)return{};for(var a in i)delete n[a]}return n},Xc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Xc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1)delete this.state[o][c][h[f]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].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 Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ra,this.promoteId=e};function Jc(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof hi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Kc(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 Qc(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 c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=Kc(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1)if(Wa(t,f[u]))return!0;for(var h=0;h<t.length-1;h++)if(Xa(t[h],t[h+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)}));d<g.length;d+=1)h.push(g[d]);h.sort(Qc);for(var m,v={},y=function(i){var u=h[i];if(u!==m){m=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(v,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Da(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<h.length;x++)y(x);return v},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new ii(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=rn(i),u=0,f=t;u<f.length;u+=1)this.loadMatchingFeature(l,r,n,f[u],c,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;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.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)r[s[o].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 fc){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 fc&&o.hasRTLText){this.hasRTLText=!0,ni.isLoading()||ni.isLoaded()||\"deferred\"!==ei()||ri();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 Xi},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.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=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new ii(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new Yc(p,l,c,u,d);g.tile=f,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.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)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.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},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=this.dependencies[n[r]];if(i)for(var a=0,o=e;a<o.length;a+=1)if(i[o[a]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=ho,t.CanonicalTileID=jc,t.CollisionBoxArray=Xi,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pi,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=ii,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Zc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=hl,t.LineBucket=Cs,t.LngLat=Pc,t.LngLatBounds=Ic,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=i,t.Point$1=i,t.Properties=yi,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ht,t.SegmentVector=ia,t.SourceFeatureState=Xc,t.StructArrayLayout1ui2=Hi,t.StructArrayLayout2f1f2i16=Di,t.StructArrayLayout2i4=Mi,t.StructArrayLayout3ui6=Fi,t.StructArrayLayout4i8=Ai,t.SymbolBucket=fc,t.Texture=Sc,t.Tile=$c,t.Transitionable=si,t.Uniform1f=va,t.Uniform1i=ma,t.Uniform2f=ya,t.Uniform3f=xa,t.Uniform4f=ba,t.UniformColor=_a,t.UniformMatrix4f=Ta,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,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=sc,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=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(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=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return to!=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 to(9);return to!=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 to(4);return to!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=qr,t.createLayout=Ti,t.createStyleLayer=function(t){return\"custom\"===t.type?new bc(t):new _c[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$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=Cn,t.endsWith=m,t.enforceCacheSizeLimit=function(t){st(),Q&&Q.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Il,t.evaluateSizeForZoom=Pl,t.evaluateVariableOffset=$l,t.evented=ti,t.extend=u,t.featureFilter=rn,t.filterObject=y,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=Al,t.getAnchorJustification=tc,t.getArrayBuffer=yt,t.getImage=bt,t.getJSON=function(t,e){return vt(u(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=ei,t.getReferrer=mt,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 o=self.document.createElement(\"source\");r=t[a],n=void 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r}function ft(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ht(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(pt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function pt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function dt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function gt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)mt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)mt(o,i[s],t,r,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function mt(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 vt(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++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{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=rt(t,1,-1-r,r,0,-1,2,e),a=rt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=ut(i,1).concat(n)),a&&(n=n.concat(ut(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 yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(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=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}F.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(N(t[l],l));this.trees[i+1]=new D(s,G,Y,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(V(r),q(a),V(i),q(n));u<f.length;u+=1){var h=l.points[f[u]];c.push(h.numPoints?j(h):this.points[h.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=i.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.radius/a.extent,s=(r-o)/i,l=(r+1+o)/i,c={features:[]};return this._addTileFeatures(n.range((e-o)/i,s,(e+1+o)/i,l),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-o/i,s,1,l),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,s,o/i,l),n.points,-1,r,i,c),c.features.length?c:null},F.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},F.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},F.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?U(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.reduce,a=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,a),u=s.numPoints||1,f=s.x*u,h=s.y*u,p=i&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;f+=v.x*y,h+=v.y*y,u+=y,v.parentId=d,i&&(p||(p=this._map(s,!0)),i(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(f/u,h/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=yt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=rt(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=rt(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=rt(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.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=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ht(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[yt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ht(this.tiles[s],i):null):null};var bt=function(e){function r(t,r,n,i){e.call(this,t,r,n,xt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.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.\"));!function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===i)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===i)t(e.geometry,r);else if(\"Polygon\"===i)f(e.coordinates,r);else if(\"MultiPolygon\"===i)for(n=0;n<e.coordinates.length;n++)f(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=t.createExpression(h[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=d.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 vt(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;return n&&n[t.uid]?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),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},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 _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.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()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.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()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.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())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new this.workerSourceTypes[e]({send:function(e,r,i){n.actor.send(e,r,i,t)}},this.getLayerIndex(t),this.getAvailableImages(t))),this.workerSources[t][e][r]},_t.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},_t.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new _t(t.window)),_t})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"==typeof window||\"undefined\"==typeof document?\"not a browser\":Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!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\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1)this.images[i[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/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)i.push({stack:a,id:s[o]});t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:i=s*r,right:a=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.width*(this.nextRow+r+i),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),f=Math.min(c,u),h=void 0,p=i/r*(n+1);if(s.isDash){var d=n-Math.abs(p);h=Math.sqrt(f*f+d*d)}else h=n-Math.sqrt(f*f+p*p);this.data[a+l]=Math.max(0,Math.min(255,h+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?h:-h)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=new e.Actor(i[a],n,this.id);o.name=\"Worker \"+a,this.actors.push(o)}};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)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.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]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).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 A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).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 A(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)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=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)).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,e.request=this.actor.send(i,{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},(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),I=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),P=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)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=Math.max(i-r,a-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),f=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+i)/2*f),Math.floor((n+a)/2*f))}(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,I.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),z=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).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)this.urls.push(this.map._requestManager.transformRequest(i[n],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,I.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}(P),O=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)).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,I.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}(P),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:P,canvas:O};function R(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 F(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(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(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 c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];f[g.featureIndex]||(f[g.featureIndex]=!0,h.push(g))}}return e}(c);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 B(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 N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.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},N.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},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.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},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.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},N.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},N.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 j=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};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=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};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.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[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.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 H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),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)).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),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var 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e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,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)).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),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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),_t=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)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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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 At=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};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.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()},Ct.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},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.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},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.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)},Ct.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))},Ct.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)},Ct.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)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).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,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),i=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(i)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var i=this._tiles[n];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),r[i.tileID.key]=i}for(var a in this._tiles=r,this._timers)clearTimeout(this._timers[a]),delete this._timers[a];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},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(Pt(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1)this._loadedParentTiles[o[a]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Pt(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){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",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 Pt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Yi.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}var Zt=function(t,e){this.reset(t,e)};Zt.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},Zt.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 Jt=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 Kt(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 Qt(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 $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,f)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,a).point,M={},A=ae(y,w,!1,l,r,a,o,e.glyphOffsetArray,p,h,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ae(y,w,!0,l,r,a,o,e.glyphOffsetArray,p,h,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,h)}else ce(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ne(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=se(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ie(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 ae(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(i&&!n){var M=ie(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=$t(h,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,a),I=L.signedDistanceFromCamera>0?L.point:oe(h,C,S,1,a),P=ie(e.writingMode,S,I,d);if(P)return P}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,i){var a=$t(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function se(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.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)},Jt.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)},Jt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Jt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Jt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:i,seenUids:{box:{},circle:{}}},a),i?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(a,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},i),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Jt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++)if(i.call(this,t,e,r,n,this.xCellCount*p+h,a,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.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},Jt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(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 fe=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function he(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}fe.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},fe.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Zt,E=b.first,C=b.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,X=Y-k,Z=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,X,Z,J),w=w||this.isInsideGrid(W,X,Z,J),!e&&this.grid.hitTestCircle(G,Y,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},fe.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},fe.prototype.insertCollisionBox=function(t,e,r,n,i){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:i},t[0],t[1],t[2],t[3])},fe.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])},fe.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return ue(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},fe.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},fe.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},fe.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=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};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,i){this.text=new pe(t?t.text:null,e,r,i),this.icon=new pe(t?t.icon:null,e,n,i)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function be(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}ye.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 _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new fe(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(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)}_e.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=he(n,1,this.transform.zoom),g=Kt(f,h,p,this.transform,d),m=null;if(h){var v=Qt(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ve(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=xe(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=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,i.markUsedOrientation(o,n=a,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?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=i.attemptAnchorPlacement(N[d%N.length],t,a,s,c,b,_,f,l,g,d>=N.length,e,o,n,u);if(m&&(h=m.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=m.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");I=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?be(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};A=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var Z=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(Z||J?J?Z||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new me);for(var $=0;$<I.circles.length;$+=4)Q.circles.push(I.circles[$+0]),Q.circles.push(I.circles[$+1]),Q.circles.push(I.circles[$+2]),Q.circles.push(I.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,A||M,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 C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,i){var a;a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=a>=0&&l!==a?0:n.crossTileID)}},_e.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)e.text.placedSymbolArray.get(s[o]).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new de(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.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)}},_e.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 de(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=i.opacities[g];r[g]?m=o:m||(i.opacities[g]=m=p),r[g]=!0;var v=a.numIconVertices>0,y=i.placedOrientations[a.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Ie:_),d(e.text,l,b?Ie:_);var w=m.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=i.variableOffsets[a.crossTileID];T&&i.markUsedJustification(e,T.anchor,a,y);var k=i.placedOrientations[a.crossTileID];k&&(i.markUsedJustification(e,\"left\",a,k),i.markUsedOrientation(e,k,a))}if(v){var M=Le(m.icon),A=!(h&&a.verticalPlacedIconSymbolIndex&&x);a.placedIconSymbolIndex>=0&&(d(e.icon,a.numIconVertices,A?M:Ie),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=m.icon.isHidden()),a.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,a.numVerticalIconVertices,A?Ie:M),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=i.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(f?i.transform.angle:-i.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var I=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,I,h?E.x:0,h?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!I,h?E.x:0,h?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.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},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(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*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Ie=0,Pe=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=[]};Pe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(a,n,t[this._currentTileIndex],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;)if(e.placeLayerBucketPart(a[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0;return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new _e(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Pe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=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)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.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},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1)delete this.usedCrossTileIDs[t][i[n].crossTileID]},Fe.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 Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Be.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 Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i,a=t.styleSpec.$root[n];a.required&&null!=(i=\"version\"===n?r:\"array\"===a.type?[]:{})&&(e[n]=i)}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,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){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(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)).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(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=this._layers[n[r]];\"custom\"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=this._layers[u[c]];f.recalculate(e,this._availableImages),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.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(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)d.hasOwnProperty(o=f[i])?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)g[g.length-1-i]!==(o=h[h.length-1-i])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-i]]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in je)}));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 Lt(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(Ne(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1)i.push(f[u])}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var h=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=i.length-1;g>=0;g--){var m=i[g].feature;if(n[m.layer.id]<p)break;h.push(m),i.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)h.push(_[b].feature)}}return h},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1)c.push(o[f[u]]);c.sort(B);for(var h=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1)o.push(f[u])}},p=0,d=c;p<d.length;p+=1)h();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=r[t[e].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=a}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=this._layers[u[c]];if(\"symbol\"===f.type){if(!l[f.source]){var h=this.sourceCaches[f.source];l[f.source]=h.getRenderableIds(!0).map((function(t){return h.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"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);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#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;}\"),Ye=vr(\"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);}\"),We=vr(\"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);}\"),Xe=vr(\"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);}\"),Ze=vr(\"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);}\"),Je=vr(\"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;}\"),Ke=vr(\"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;}\"),Qe=vr(\"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;}\"),$e=vr(\"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);}\"),tr=vr(\"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);}\"),er=vr(\"#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);}\"),rr=vr(\"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;}\"),nr=vr(\"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;}\"),ir=vr(\"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);}\"),ar=vr(\"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;}\"),or=vr(\"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;}\"),sr=vr(\"#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;}\"),lr=vr(\"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;}\"),cr=vr(\"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);}\"),ur=vr(\"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);}\"),fr=vr(\"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;}\"),hr=vr(\"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);}\"),pr=vr(\"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;}\"),dr=vr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=vr(\"#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);}\"),mr=vr(\"#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 vr(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 yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Xe,clippingMask:Ze,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ir,fillExtrusion:ar,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:fr,lineSDF:hr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===i&&this.boundVertexOffset===a&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind()):this.freshBind(e,r,n,i,a,o,s)},xr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=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(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/he(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]}}br.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},Tr=function(e,r,n,i,a,o,s){return t.extend(wr(e,r,n,i),_r(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(kr(e),_r(n,r,i))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Er=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=he(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=he(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}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Pr=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:he(e,1,r),u_intensity:n}},Or=function(e,r,n){var i=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/he(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,i){var a=e.transform,o=Br(r,a);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/he(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]]}},Fr=function(e,r,n,i,a){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(i.from,l),u=o.getDash(i.to,l),f=c.width*a.fromScale,h=u.width*a.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/f,-c.height/2],u_patternscale_b:[s/h,-u.height/2],u_sdfgamma:o.width/(256*Math.min(f,h)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:a.t})};function Br(t,e){return 1/he(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=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:Ur(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ur(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 Vr,qr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(qr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Gr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Hr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/he(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})},Xr={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 Zr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var M=0,A=0,S=f;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,I,P,z,O,0),k.emplace(M++,I,P,z,O,1),k.emplace(M++,I,P,z,O,2),k.emplace(M++,I,P,z,O,3)}(!Vr||Vr.length<2*h)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function Qr(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:i[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=a.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(f){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var I=0;I<C.numGlyphs;I++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=i;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=a?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),I=a||E.sdfIcons,P=a?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(I,a,E),L),D=t.evaluateSizeForZoom(P,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===P.kind||\"camera\"===P.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=I||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=he(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,a,H,G,v,u);var X=e.translatePosMatrix(A.posMatrix,S,o,s),Z=y||a&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=I&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:I?E.iconsInText?Gr(P.kind,D,x,v,e,X,Z,J,R,F):Hr(P.kind,D,x,v,e,X,Z,J,a,R,!0):qr(P.kind,D,x,v,e,X,Z,J,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:I,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var it=nt[rt],at=it.state;if(p.activeTexture.set(d.TEXTURE0),at.atlasTexture.bind(at.atlasInterpolation,d.CLAMP_TO_EDGE),at.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),at.atlasTextureIcon&&at.atlasTextureIcon.bind(at.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),at.isSDF){var ot=at.uniformValues;at.hasHalo&&(ot.u_is_halo=1,en(at.buffers,it.segments,n,e,at.program,_,f,h,ot)),ot.u_is_halo=0}en(at.buffers,it.segments,n,e,at.program,_,f,h,at.uniformValues)}}function en(t,e,r,n,i,a,o,s,l){var c=n.context;i.draw(c,c.gl.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,h,g,f,m):wr(k,t,M,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,i,a,o,Et.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),fn=new t.Color(1,0,1,1),hn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(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 mn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=Math.floor((f&&f.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+h+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=he(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(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)&&tn(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)&&tn(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&&(Zr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Zr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,f,h,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},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=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(a,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,f,e.transform.zoom,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,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),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(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],I=C.patternPositions[E.from.toString()];L&&I&&k.setConstantPatternPositions(L,I)}var P=f?Rr(e,w,n,p):c?Fr(e,w,n,c,p):h?Dr(e,w,n):Or(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(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))nn(t,e,r,n,a,At.disabled,St.disabled),nn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,a,At.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],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,a,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof P?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof P?s.draw(i,a.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=At.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,i,t,c,{tileID:x,tileSize:l},m):Yr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(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(At.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)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.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)this.style._layers[i[n]].resize()},yn.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,He.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,He.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,I.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,He.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 At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.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,St.disabled,Et.disabled,Pr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Pr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.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 At({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]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.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])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++)if(this.style._layers[i[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=i;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=f[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,a[y.source],y,x)}}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 b=this.style._layers[i[this.currentLayer]],_=a[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var T=this.style._layers[i[this.currentLayer]],k=a[T.source],M=(\"symbol\"===T.type?h:f)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,fn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,hn)}(this),this.context.setDefault()},yn.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),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.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)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.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},yn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:he(r,n[0],this.transform.zoom),a?n[1]:he(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.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},yn.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 br(this.context,yr[t],e,Xr[t],this._showOverdrawInspector)),this.cache[r]},yn.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()},yn.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)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.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 xn(a,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.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 bn(n,i)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=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};_n.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},_n.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)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=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 _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={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}};wn.prototype.clone=function(){var t=new wn(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},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.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))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.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())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.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())},Tn.zoom.get=function(){return this._zoom},Tn.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())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.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)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.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=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===h||w>3+(1<<h-g.zoom)-2&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.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)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.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())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.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[1]/i,s=n[1]/a,l=r[2]/i,c=n[2]/a,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/i,n[0]/a,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.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])},wn.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)))},wn.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},wn.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])},wn.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]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),i=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),a=this.point,o=a.x,s=a.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*i+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,h=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*f+d*h,m=s-Math.round(s)+p*h+d*f,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.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},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,i,a;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,i=null,a=function(){i=null,n&&(r(),i=setTimeout(a,300),n=!1)},function(){return n=!0,i||a(),i})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.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(\"/\")},kn.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},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function In(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Pn(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)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.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=Pn(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,In(s,l)}if(r.zoom){var c=Pn(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,In(s,c)}if(r.bearing){var u=Pn(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),In(s,u)}if(r.pitch){var f=Pn(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+f.amount,In(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 zn=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)).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),On=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).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),Dn=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)).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),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.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\"}}},Bn.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)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.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},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.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)r._add(i[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var i in this.touches){var a=n[i];(!a||a.dist(this.touches[i])>30)&&(this.aborted=!0)}}},jn.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 Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.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 Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.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},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Nn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Xn=function(){this.reset()};function Zn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Xn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Xn.prototype._start=function(t){},Xn.prototype._move=function(t,e,r){return{}},Xn.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]]))},Xn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[1],a=Zn(r,e,n[0]),o=Zn(r,e,i);if(a&&o){var s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}}},Xn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[1],o=Zn(n,e,i[0]),s=Zn(n,e,a);o&&s||(this._active&&r.suppressClick(),this.reset())}},Xn.prototype.touchcancel=function(){this.reset()},Xn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Xn.prototype.disable=function(){this._enabled=!1,this.reset()},Xn.prototype.isEnabled=function(){return this._enabled},Xn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Xn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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:Qn(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=Qn(t,this._startVector);return Math.abs(r)<e},e}(Xn);function ti(t){return Math.abs(t.y)>Math.abs(t.x)}var ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.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,ti(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 ti(t)&&ti(e)&&a}},e}(Xn),ri={panStep:100,bearingStep:15,pitchStep:10},ni=function(){var t=ri;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ii(t){return t*(2-t)}ni.prototype.reset=function(){this._active=!1},ni.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:ii,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})}}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ai=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ai.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ai.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ai.prototype.isEnabled=function(){return!!this._enabled},ai.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ai.prototype.isZooming=function(){return!!this._zooming},ai.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ai.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ai.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ai.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ai.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())}},ai.prototype.renderFrame=function(){return this._onScrollFrame()},ai.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ai.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},ai.prototype.reset=function(){this._active=!1};var oi=function(t,e){this._clickZoom=t,this._tapZoom=e};oi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var si=function(){this.reset()};si.prototype.reset=function(){this._active=!1},si.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})}}},si.prototype.enable=function(){this._enabled=!0},si.prototype.disable=function(){this._enabled=!1,this.reset()},si.prototype.isEnabled=function(){return this._enabled},si.prototype.isActive=function(){return this._active};var li=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};li.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},li.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))},li.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)},li.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)},li.prototype.touchcancel=function(){this.reset()},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ci.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ci.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ci.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ci.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ui=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ui.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ui.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ui.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ui.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var fi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};fi.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\")},fi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},fi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},fi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},fi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},fi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var hi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function di(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var gi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(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];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};gi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0];r.removeEventListener(a,i[1],a===t.window.document?this.handleWindowEvent:this.handleEvent,i[2])}},gi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var i=new Vn,a=new si;e.doubleClickZoom=new oi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new li;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ei;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ui(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),f=new Wn(t);e.dragPan=new ci(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new $n,p=new Kn;e.touchZoomRotate=new fi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ai(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new ni;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},gi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},gi.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=[]}},gi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},gi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},gi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},gi.prototype.isMoving=function(){return Boolean(hi(this._eventsInProgress))||this.isZooming()},gi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},gi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},gi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r];this._el.contains(i.target)&&e.push(i)}return e},gi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||di(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||di(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},gi.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)}},gi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},gi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!di(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},gi.prototype._fireEvents=function(e,r){var n=this,i=hi(this._eventsInProgress),a=hi(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,f={};for(var h in this._eventsInProgress){var p=this._eventsInProgress[h],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[h],f[h+\"end\"]=u=r[d]||g)}for(var m in f)this._fireEvent(m,f[m]);var v=hi(this._eventsInProgress);if((i||a)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},gi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},gi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var mi=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)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=new t.Point(x.x+(i.padding.left-i.padding.right)/2,x.y+(i.padding.top-i.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),A=w/a.zoomScale(M-o);_=Math.sqrt(A/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 C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+_*t)},z=function(t){return w*((L(I)*(C(e=I+_*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},P=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),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*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),vi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};vi.prototype.getDefaultPosition=function(){return\"bottom-right\"},vi.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},vi.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},vi.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\"}},vi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},vi.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)}},vi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var yi=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};yi.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},yi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},yi.prototype.getDefaultPosition=function(){return\"bottom-left\"},yi.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},yi.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}},yi.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 xi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xi.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)}},xi.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},xi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var bi={\"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\"},_i=t.window.HTMLImageElement,wi=t.window.HTMLElement,Ti=t.window.ImageBitmap,ki={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Mi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},ki,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new wn(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 xi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},bi,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 wi))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 gi(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).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 vi({customAttribution:e.customAttribution})),this.addControl(new yi,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)).constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new zn(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 zn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new zn(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;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this)},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\". Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _i||Ti&&r instanceof Ti){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),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 u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:u}),u.onAdd&&u.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 _i||Ti&&r instanceof Ti?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;return void 0===a||void 0===o?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`\"))):a!==n.data.width||o!==n.data.height?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\"))):(n.data.replace(s,!(r instanceof _i||Ti&&r instanceof Ti)),void 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 yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ai(this._canvasContainer),Ai(this._controlContainer),Ai(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}(mi);function Ai(t){t.parentNode&&t.parentNode.removeChild(t)}var Si={showCompass:!0,showZoom:!0,visualizePitch:!1},Ei=function(e){var n=this;this.options=t.extend({},Si,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))};Ei.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ei.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},Ei.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 Ci(this._map,this._compass,this.options.visualizePitch)),this._container},Ei.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},Ei.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ei.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ci=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Yn({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 Li(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}Ci.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ci.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)}},Ci.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()},Ci.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ci.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)},Ci.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ci.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ci.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))},Ci.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))},Ci.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ci.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ii={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 Pi(t,e,r){var n=t.classList;for(var i in Ii)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var zi,Oi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Pi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Li(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,Ii[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),Di={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ri=0,Fi=!1,Bi=function(e){function n(r){e.call(this),this.options=t.extend({},Di,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==zi?n(zi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(zi=\"denied\"!==t.state)})):n(zi=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ri=0,Fi=!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&&Fi)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 Oi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oi({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){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(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\":Ri--,Fi=!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\"),++Ri>1?(e={maximumAge:6e5,timeout:0},Fi=!0):(e=this.options.positionOptions,Fi=!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),Ni={maxWidth:100,unit:\"metric\"},ji=function(e){this.options=t.extend({},Ni,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ui(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?Vi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Vi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Vi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Vi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Vi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Vi(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*(o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\" \"+n}ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},ji.prototype._onMove=function(){Ui(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,Ui(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 Hi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Gi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Hi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.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=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Li(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var i=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),a=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"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 u=i.add(o[a]).round();r.setTransform(this._container,Ii[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Pi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Yi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Mi,NavigationControl:Ei,GeolocateControl:Bi,AttributionControl:vi,ScaleControl:ji,FullscreenControl:qi,Popup:Gi,Marker:Oi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Yi})),r}))},{}],474:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t(\"convex-hull\");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],f=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;f.push(a[u[s]].slice())}c.push(f)}return c}},{\"convex-hull\":135}],475:[function(t,e,r){var n=t(\"./normalize\"),i=t(\"gl-mat4/create\"),a=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],I=u[15];if(0!==M||0!==A||0!==S){if(h[0]=M,h[1]=A,h[2]=S,h[3]=I,!s(f,f))return!1;l(f,f),y=m,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var P=0;P<3;P++)r[P]*=-1,p[P][0]*=-1,p[P][1]*=-1,p[P][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":476,\"gl-mat4/clone\":278,\"gl-mat4/create\":280,\"gl-mat4/determinant\":281,\"gl-mat4/invert\":293,\"gl-mat4/transpose\":306,\"gl-vec3/cross\":365,\"gl-vec3/dot\":370,\"gl-vec3/length\":380,\"gl-vec3/normalize\":387}],476:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],477:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),i=t(\"mat4-recompose\"),a=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function h(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,f){if(0===o(e)||0===o(r))return!1;var h=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=a(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!h||!p)&&(n(u.translate,l.translate,c.translate,f),n(u.skew,l.skew,c.skew,f),n(u.scale,l.scale,c.scale,f),n(u.perspective,l.perspective,c.perspective,f),s(u.quaternion,l.quaternion,c.quaternion,f),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":281,\"gl-vec3/lerp\":381,\"mat4-decompose\":475,\"mat4-recompose\":478,\"quat-slerp\":527}],478:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{\"gl-mat4/create\":280,\"gl-mat4/fromRotationTranslation\":284,\"gl-mat4/identity\":291,\"gl-mat4/multiply\":295,\"gl-mat4/scale\":303,\"gl-mat4/translate\":305}],479:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],480:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),i=t(\"mat4-interpolate\"),a=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),f=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),h=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],h=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)h[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&h[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=h[c];else i(o,h,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],f(g,g);var m=this.computedInverse;a(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var 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+ "/*\n",
+ "object-assign\n",
+ "(c) Sindre Sorhus\n",
+ "@license MIT\n",
+ "*/\n",
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+ "/*\n",
+ " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
+ " * @license MIT\n",
+ " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
+ " */\n",
+ "var n,i=t(\"./lib/build-log\"),a=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":70,\"color-normalize\":125,\"flatten-vertex-data\":244,\"object-assign\":499,\"pick-by-alias\":511,\"to-float32\":577,\"update-diff\":599}],535:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function m(t,e){if(!(this instanceof m))return new m(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=m.shaders.has(t)?m.shaders.get(t):m.shaders.set(t,m.createShaders(t)).get(t),this.update(e)}e.exports=m,m.dashMult=2,m.maxPatternLength=256,m.precisionThreshold=3e6,m.maxPoints=1e4,m.maxLines=2048,m.shaders=new d,m.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n vec2 adjustedScale;\\n adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) < length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) < length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},m.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.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({},m.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<m.maxLines&&(d.depth=2*(m.maxLines-1-f%m.maxLines)/m.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=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=i(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var 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U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var X=0,Z=t.dashes[W]*m.dashMult*.5;X<Z;++X)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}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 v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:536,\"object-assign\":499,\"parse-rect\":504,\"pick-by-alias\":511,\"to-float32\":577}],536:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],537:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{n||null==s.return||s.return()}finally{if(i)throw a}}return 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s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),f=t(\"object-assign\"),h=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(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=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),f(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,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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vec2 position = vec2(x, y);\\n vec2 positionFract = vec2(xFract, yFract);\\n\\n vec4 color = getColor(colorId);\\n vec4 borderColor = getColor(borderColorId);\\n\\n float size = size * maxSize / 255.;\\n float borderSize = borderSize * maxSize / 255.;\\n\\n gl_PointSize = 2. * size * pointSizeScale;\\n fragPointSize = size * pixelRatio;\\n\\n vec2 pos = (position + translate) * scale\\n + (positionFract + translateFract) * scale\\n + (position + translate) * scaleFract\\n + (positionFract + translateFract) * scaleFract;\\n\\n gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n fragColor = color;\\n fragBorderColor = borderColor;\\n fragWidth = 1. / gl_PointSize;\\n\\n fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\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(palette,\\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\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width 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t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}return i({data:v.float(t),usage:\"dynamic\"}),a({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return 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this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return 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u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var M=f(s.id,T,k),A=this.passes[M]||(this.passes[M]={});if(o.data&&(o.transpose?A.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:A.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},A.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 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+ " * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
+ " *\n",
+ " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
+ " * Licensed under the MIT License.\n",
+ " */\n",
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r,n=parseInt(e);if(isNaN(n))\"\\u95f0\"===e[0]&&(r=!0,e=e.substring(1)),\"\\u6708\"===e[e.length-1]&&(e=e.substring(0,e.length-1)),n=1+[\"\\u4e00\",\"\\u4e8c\",\"\\u4e09\",\"\\u56db\",\"\\u4e94\",\"\\u516d\",\"\\u4e03\",\"\\u516b\",\"\\u4e5d\",\"\\u5341\",\"\\u5341\\u4e00\",\"\\u5341\\u4e8c\"].indexOf(e);else{var i=e[e.length-1];r=\"i\"===i||\"I\"===i}return this.toMonthIndex(t,n,r)},dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(t,e){if(t.year&&(t=t.year()),\"number\"!=typeof t||t<1888||t>2111)throw e.replace(/\\{0\\}/,this.local.name);return t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),f[t-f[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=h[o-h[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var f=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(f/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=f[t-f[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a=i||{}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=f[o.year-f[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++){s+=u&1<<12-d?30:29}var g=h[o.year-h[0]],m=new Date(g>>9&4095,(g>>5&15)-1,(31&g)+s);return a.year=m.getFullYear(),a.month=1+m.getMonth(),a.day=m.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a=n||{}}var o=h[i.year-h[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=h[a.year-h[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=f[a.year-f[0]];for(p=0;p<13;p++){var g=d&1<<12-p?30:29;if(l<g)break;l-=g}var m=d>>13;!m||p<m?(a.isIntercalary=!1,a.month=1+p):p===m?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p);return 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},{\"../main\":621,\"object-assign\":499}],609:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":621,\"object-assign\":499}],610:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{\"../main\":621,\"object-assign\":499}],611:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":621,\"object-assign\":499}],612:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":621,\"object-assign\":499}],613:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":621,\"object-assign\":499}],614:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":621,\"object-assign\":499}],615:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":621,\"object-assign\":499}],616:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":621,\"object-assign\":499}],619:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":621,\"object-assign\":499}],620:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":778,\"../../plot_api/plot_template\":817,\"../../registry\":911}],629:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":778,\"../color\":643}],630:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":805,\"fast-isnumeric\":241}],631:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":778,\"../../plots/array_container_defaults\":823,\"../../plots/cartesian/axes\":828,\"./attributes\":626,\"./common_defaults\":629}],632:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var M=g(t.layout,_,e),A=M.modifyBase,S=M.modifyItem,E=M.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var C=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var L={x:{},y:{}},I=+e.textangle||0,P=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),z=P.append(\"g\").classed(\"annotation-text-g\",!0),O=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||O,R=z.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+C).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",C).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&A(v._name+\".autorange\",!0),x&&x.autorange&&A(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+C).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,M=e.width||b,D=e.height||_,B=Math.round(M+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(I+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=L[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*H($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(M-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?C:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?C:null,t)}V.select(\"rect\").call(u.setRect,N,N,M,D),j.call(u.setRect,F/2,F/2,B-F,q-F),R.call(u.setTranslate,Math.round(L.x.text-B/2),Math.round(L.y.text-q/2)),z.attr({transform:\"rotate(\"+I+\",\"+L.x.text+\",\"+L.y.text+\")\"});var kt,Mt=function(r,n){P.selectAll(\".annotation-arrow-g\").remove();var l=L.x.head,f=L.y.head,h=L.x.tail+r,p=L.y.tail+n,g=L.x.text+r,b=L.y.text+n,_=o.rotationXYMatrix(I,g,b),w=o.apply2DTransform(_),M=o.apply2DTransform2(_),C=+j.attr(\"width\"),O=+j.attr(\"height\"),D=g-.5*C,F=D+C,B=b-.5*O,N=B+O,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(M);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(m(Y,H,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var 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n=t(\"../annotations/attributes\"),i=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../plot_api/plot_template\").templatedArray;e.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\")},{\"../../plot_api/edit_types\":810,\"../../plot_api/plot_template\":817,\"../annotations/attributes\":626}],636:[function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":778,\"../../plots/array_container_defaults\":823,\"../../plots/cartesian/axes\":828,\"../annotations/common_defaults\":629,\"./attributes\":635}],638:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,i=t(\"../../plots/gl3d/project\"),a=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var 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If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var i=0;i<r.length;i++)c(t,e,r[i]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:h,worldCalFmt:function(t,e,r){for(var 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T={y:e.y,b:u.height*g[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*g[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*g[b]),i.autoMargin(t,m(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var g=c.lineCount(l),m=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*p;return 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r=t[e[n]],s=(r._extremes||{})[o];if(!0===r.visible&&s){for(i=0;i<s.min.length;i++)a=s.min[i],d(u,a.val,a.pad,{extrapad:a.extrapad});for(i=0;i<s.max.length;i++)a=s.max[i],g(f,a.val,a.pad,{extrapad:a.extrapad})}}}if(h(s,e._traceIndices),h(c.annotations||[],e._annIndices||[]),h(c.shapes||[],e._shapeIndices||[]),e._matchGroup&&!r)for(var m in e._matchGroup)if(m!==e._id){var v=l(t,m),y=p(t,v,!0),x=e._length/v._length;for(i=0;i<y.min.length;i++)a=y.min[i],d(u,a.val,a.pad*x,{extrapad:a.extrapad});for(i=0;i<y.max.length;i++)a=y.max[i],g(f,a.val,a.pad*x,{extrapad:a.extrapad})}return{min:u,max:f}}function d(t,e,r,n){m(t,e,r,n,y)}function g(t,e,r,n){m(t,e,r,n,x)}function m(t,e,r,n,i){for(var a=n.tozero,o=n.extrapad,s=!0,l=0;l<t.length&&s;l++){var c=t[l];if(i(c.val,e)&&c.pad>=r&&(c.extrapad||!o)){s=!1;break}i(e,c.val)&&c.pad<=r&&(o||!c.extrapad)&&(t.splice(l,1),l--)}if(s){var u=a&&0===e;t.push({val:e,pad:u?0:r,extrapad:!u&&o})}}function v(t){return n(t)&&Math.abs(t)<a}function y(t,e){return 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n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,B.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}\"period\"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||\"M\"!==t.dtick.charAt(0))}var n=r(),a=B.getTickFormat(t);if(a){var 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c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var f=c(e[u]);f>a&&f<o&&(void 0===r[u]?n[l]=B.tickText(t,f):n[l]=it(t,f,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);var n=H(r),a=n[0],o=n[1],l=r[1]<r[0],c=Math.min(r[0],r[1]),u=Math.max(r[0],r[1]),f=\"log\"===t.type&&!(i(t.dtick)||\"L\"===t.dtick.charAt(0)),h=\"period\"===t.ticklabelmode;if(t._tmin=B.tickFirst(t,e),t._tmin<a!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var p=t._tmin;t.rangebreaks&&t._tick0Init!==t.tick0&&(p=wt(p,t),l||(p=B.tickIncrement(p,t.dtick,!l,t.calendar))),h&&(p=B.tickIncrement(p,t.dtick,!l,t.calendar));for(var d,g=Math.max(1e3,t._length||0),C=[],L=null;l?p>=o:p<=o;p=B.tickIncrement(p,t.dtick,l,t.calendar)){if(t.rangebreaks&&!l){if(p<a)continue;if(t.maskBreaks(p)===P&&wt(p,t)>=u)break}if(C.length>g||p===L)break;L=p;var I=!1;f&&p!==(0|p)&&(I=!0),C.push({minor:I,value:p})}if(h&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,c=t[o].value,u=Math.abs(c-l),f=r||u,h=0;f>=y?h=u>=y&&u<=m?u:v:r===b&&f>=_?h=u>=_&&u<=x?u:b:f>=k?h=u>=k&&u<=w?u:T:r===M&&f>=M?h=M:f>=A?h=A:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=u&&(h=u,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,g=0;g<84;g++){var C=(g+.5)/84;e.maskBreaks(i*(1-C)+C*p)!==P&&d++}(h*=d/84)||(t[n].drop=!0),s&&u>M&&(h=u)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var z=\"y\"===t._id.charAt(0),O=1;\"auto\"===t.tickmode&&(O=t.tickfont?t.tickfont.size:12);var 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w=e._anchorAxis;w&&w.autorange&&-1!==(e.ticklabelposition||\"\").indexOf(\"inside\")&&!V(a,e._id)&&(a._insideTickLabelsAutorange||(a._insideTickLabelsAutorange={}),a._insideTickLabelsAutorange[w._name+\".autorange\"]=w.autorange,_.push((function(){v.each((function(t,r){var n=dt(this);e._vals[r].bb=h.bBox(n.node())}))})));var T=s.syncOrAsync(_);return T&&T.then&&t._promises.push(T),T},B.getPxPosition=function(t,e){var r,n=t._fullLayout._size,i=e._id.charAt(0),a=e.side;return\"free\"!==e.anchor?r=e._anchorAxis:\"x\"===i?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:\"y\"===i&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),\"top\"===a||\"left\"===a?r._offset:\"bottom\"===a||\"right\"===a?r._offset+r._length:void 0},B.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===P)&&(pt(e,0)||!function(t,e,r,n){var i=r._mainAxis;if(!i)return;var 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r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":834,\"has-passive-events\":441,\"mouse-change\":483,\"mouse-event-offset\":484,\"mouse-wheel\":486}],867:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":802,\"../cartesian/axes\":828}],868:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":684,\"../../constants/xmlns_namespaces\":754,\"../../plot_api/edit_types\":810,\"../cartesian\":841,\"../cartesian/attributes\":826,\"../cartesian/constants\":834,\"../get_data\":865,\"../layout_attributes\":882,\"./scene2d\":869}],869:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.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}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},M.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},M.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},M.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]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},M.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())},M.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)}},M.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}},M.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:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.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])]},M.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])]},M.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.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},M.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]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":661,\"../../components/fx\":683,\"../../lib/show_no_webgl_msg\":800,\"../../plots/cartesian/axes\":828,\"../../registry\":911,\"../cartesian/autorange\":827,\"../cartesian/constants\":834,\"../cartesian/constraints\":835,\"./camera\":866,\"./convert\":867,\"gl-plot2d\":317,\"gl-select-box\":333,\"gl-spikes2d\":342,\"webgl-context\":606}],870:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":684,\"../../constants/xmlns_namespaces\":754,\"../../lib\":778,\"../../plot_api/edit_types\":810,\"../get_data\":865,\"./layout/attributes\":871,\"./layout/defaults\":875,\"./layout/layout_attributes\":876,\"./scene\":880}],871:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],872:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":643,\"../../../lib/extend\":768,\"../../../plot_api/edit_types\":810,\"../../cartesian/layout_attributes\":842}],873:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":778,\"../../../plot_api/plot_template\":817,\"../../cartesian/axis_defaults\":830,\"../../cartesian/type_defaults\":853,\"./axis_attributes\":872,tinycolor2:576}],874:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":778,\"../../../lib/str2rgbarray\":802}],875:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":643,\"../../../lib\":778,\"../../../registry\":911,\"../../get_data\":865,\"../../subplot_defaults\":905,\"./axis_defaults\":873,\"./layout_attributes\":876}],876:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":778,\"../../../lib/extend\":768,\"../../domain\":855,\"./axis_attributes\":872}],877:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":802}],878:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":778,\"../../cartesian/axes\":828}],879:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],880:[function(t,e,r){\"use strict\";var n,i,a=t(\"gl-plot3d\"),o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c,u=Object.keys(e.traces),h=null,g=e.glplot.selection,m=0;m<u.length;++m)\"skip\"!==(t=e.traces[u[m]]).data.hoverinfo&&t.handlePick(g)&&(h=t),t.setContourLevels&&t.setContourLevels();function y(t,r){var n=e.fullSceneLayout[t];return p.tickText(n,n.d2l(r),\"hover\").text}if(null!==h){var x=v(e.glplot.cameraParams,g.dataCoordinate);t=h.data;var _,w=r._fullData[t.index],T=g.index,k={xLabel:y(\"xaxis\",g.traceCoordinate[0]),yLabel:y(\"yaxis\",g.traceCoordinate[1]),zLabel:y(\"zaxis\",g.traceCoordinate[2])},M=d.castHoverinfo(w,e.fullLayout,T),A=(M||\"\").split(\"+\"),S=M&&\"all\"===M;w.hovertemplate||S||(-1===A.indexOf(\"x\")&&(k.xLabel=void 0),-1===A.indexOf(\"y\")&&(k.yLabel=void 0),-1===A.indexOf(\"z\")&&(k.zLabel=void 0),-1===A.indexOf(\"text\")&&(g.textLabel=void 0),-1===A.indexOf(\"name\")&&(h.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=y(\"xaxis\",g.traceCoordinate[3]),(S||-1!==A.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=y(\"yaxis\",g.traceCoordinate[4]),(S||-1!==A.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=y(\"zaxis\",g.traceCoordinate[5]),(S||-1!==A.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=g.traceCoordinate[6].toPrecision(3),(S||-1!==A.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=g.traceCoordinate[7].toPrecision(3),(S||-1!==A.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),g.textLabel&&E.push(g.textLabel),_=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.tickText(e._mockAxis,e._mockAxis.d2l(g.traceCoordinate[3]),\"hover\").text,E.push(\"value: \"+k.valueLabel),g.textLabel&&E.push(g.textLabel),_=E.join(\"<br>\")):_=g.textLabel;var C={x:g.traceCoordinate[0],y:g.traceCoordinate[1],z:g.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(C,w,T),t._module.eventData&&(C=w._module.eventData(C,g,w,{},T));var L={points:[C]};e.fullSceneLayout.hovermode&&d.loneHover({trace:w,x:(.5+.5*x[0]/x[3])*s,y:(.5-.5*x[1]/x[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:_,name:h.name,color:d.castHoverOption(w,T,\"bgcolor\")||h.color,borderColor:d.castHoverOption(w,T,\"bordercolor\"),fontFamily:d.castHoverOption(w,T,\"font.family\"),fontSize:d.castHoverOption(w,T,\"font.size\"),fontColor:d.castHoverOption(w,T,\"font.color\"),nameLength:d.castHoverOption(w,T,\"namelength\"),textAlign:d.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},C,k),eventData:[C]},{container:n,gd:r}),g.buttons&&g.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),c=L}else d.loneUnhover(n),r.emit(\"plotly_unhover\",c);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function M(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&M(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-A),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var C=m[1][a]-m[0][a];m[0][a]-=C/32,m[1][a]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][a];m[0][a]=m[1][a],m[1][a]=L}}else{var I=s.range;m[0][a]=s.r2l(I[0]),m[1][a]=s.r2l(I[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var P=c.aspectmode;if(\"cube\"===P)d=[1,1,1];else if(\"manual\"===P){var z=c.aspectratio;d=[z.x,z.y,z.z]}else{if(\"auto\"!==P&&\"data\"!==P)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];O[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===P||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var 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r=t.visible;return\"undefined\"==typeof r||!0===r})),d=!1,g=p.map((function(t,e){return d=d||\"undefined\"!=typeof t.groupId,t}));if(d){var m=n.nest().key((function(t,e){return\"undefined\"!=typeof t.groupId?t.groupId:\"unstacked\"})).entries(g),v=[],y=m.map((function(t,e){if(\"unstacked\"===t.key)return t.values;var r=t.values[0].r.map((function(t,e){return 0}));return t.values.forEach((function(t,e,n){t.yStack=[r],v.push(r),r=o.util.sumArrays(t.r,r)})),t.values}));p=n.merge(y)}p.forEach((function(t,e){t.t=Array.isArray(t.t[0])?t.t:[t.t],t.r=Array.isArray(t.r[0])?t.r:[t.r]}));var x=Math.min(h.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2;x=Math.max(10,x);var b,_=[h.margin.left+x,h.margin.top+x];d?b=[0,n.max(o.util.sumArrays(o.util.arrayLast(p).r[0],o.util.arrayLast(v)))]:b=n.extent(o.util.flattenArray(p.map((function(t,e){return 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P=n.range.apply(this,C);if(P=P.map((function(t,e){return parseFloat(t.toPrecision(12))})),s=n.scale.linear().domain(C.slice(0,2)).range(\"clockwise\"===h.direction?[0,360]:[360,0]),u.layout.angularAxis.domain=s.domain(),u.layout.angularAxis.endPadding=A?E:0,\"undefined\"==typeof(t=n.select(this).select(\"svg.chart-root\"))||t.empty()){var z=(new DOMParser).parseFromString(\"<svg xmlns='http://www.w3.org/2000/svg' class='chart-root'>' + '<g class='outer-group'>' + '<g class='chart-group'>' + '<circle class='background-circle'></circle>' + '<g class='geometry-group'></g>' + '<g class='radial axis-group'>' + '<circle class='outside-circle'></circle>' + '</g>' + '<g class='angular axis-group'></g>' + '<g class='guides-group'><line></line><circle r='0'></circle></g>' + '</g>' + '<g class='legend-group'></g>' + '<g class='tooltips-group'></g>' + '<g class='title-group'><text></text></g>' + '</g>' + 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o=n.hsl(a.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",f=i||\"\";e.style({fill:u,\"font-size\":a.fontSize+\"px\"}).text(f);var h=a.padding,p=e.node().getBBox(),d={fill:a.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*h+l,m=p.height+2*h;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[a.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*h]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return i(a,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var 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s=i({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof 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n=t(\"d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),g=t(\"../cartesian/autorange\").doAutoRange,m=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),M=t(\"../../plot_api/subroutines\").redrawReglTraces,A=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),C=o._,L=o.mod,I=o.deg2rad,P=o.rad2deg;function 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e,r,n,i,a=t[0],o=t[1]-a,s=L(a,360),l=s+o,c=Math.cos(I(s)),u=Math.sin(I(s)),f=Math.cos(I(l)),h=Math.sin(I(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&h<=0?0:Math.max(u,h);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&f>=0?0:Math.min(c,f);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&h>=0?0:Math.min(u,h);n=l>=360?1:c<=0&&f<=0?0:Math.max(c,f);return[e,r,n,i]}(p),b=x[2]-x[0],_=x[3]-x[1],w=h/f,T=Math.abs(_/b);w>T?(d=f,y=(h-(g=f*T))/n.h/2,m=[o[0],o[1]],v=[s[0]+y,s[1]-y]):(g=h,y=(f-(d=h/T))/n.w/2,m=[o[0]+y,o[1]-y],v=[s[0],s[1]]),this.xLength2=d,this.yLength2=g,this.xDomain2=m,this.yDomain2=v;var 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e=m(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+u*r,p-u*n]+\"L\"+[f+a*r,p-a*n]},transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:w,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return v(m(t))},labelFns:x})}F(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},O.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},O.updateMainDrag=function(t){var e,r,s=this,c=s.gd,u=s.layers,f=t._zoomlayer,h=S.MINZOOM,p=S.OFFEDGE,d=s.radius,g=s.innerRadius,x=s.cx,T=s.cy,k=s.cxx,M=s.cyy,A=s.sectorInRad,C=s.vangles,L=s.radialAxis,I=E.clampTiny,P=E.findXYatLength,z=E.findEnclosingVertexAngles,O=S.cornerHalfWidth,D=S.cornerLen/2,R=m.makeDragger(u,\"path\",\"maindrag\",\"crosshair\");n.select(R).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(x,T));var F,B,N,j,U,V,q,H,G,Y={element:R,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-k,e-M)}function Z(t,e){return Math.atan2(M-e,t-k)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*O);var r=D/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,d)),o=a-O,l=a+O;return\"M\"+J(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+J(o,i)+\"L\"+J(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+J(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*O);var n,i,a=J(t,e),o=J(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=P(O,u,l,c);n=P(D,f,h[0][0],h[0][1]),i=P(D,f,h[1][0],h[1][1])}else{var p,d;c?(p=D,d=O):(p=O,d=D),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function $(t,e){return 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e=L._rl,r=(e[1]-e[0])/(1-g/d)/d,n=[e[0]+(N-g)*r,e[0]+(j-g)*r];t[s.id+\".radialaxis.range\"]=n}function ot(t,e){var r=c._fullLayout.clickmode;if(m.removeZoombox(c),2===t){var n={};for(var i in s.viewInitial)n[s.id+\".\"+i]=s.viewInitial[i];c.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",c,n)}r.indexOf(\"select\")>-1&&1===t&&_(e,c,[s.xaxis],[s.yaxis],s.id,Y),r.indexOf(\"event\")>-1&&y.click(c,e,s.id)}Y.prepFn=function(t,n,a){var l=c._fullLayout.dragmode,u=R.getBoundingClientRect();c._fullLayout._calcInverseTransform(c);var h=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var p=o.apply3DTransform(h)(n-u.left,a-u.top);if(F=p[0],B=p[1],C){var g=E.findPolygonOffset(d,A[0],A[1],C);F+=k+g[0],B+=M+g[1]}switch(l){case\"zoom\":Y.moveFn=C?nt:et,Y.clickFn=ot,Y.doneFn=it,function(){N=null,j=null,U=s.pathSubplot(),V=!1;var t=c._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(H=m.makeZoombox(f,q,x,T,U)).attr(\"fill-rule\",\"evenodd\"),G=m.makeCorners(f,x,T),w(c)}();break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},R.onmousemove=function(t){y.hover(c,t,s.id),c._fullLayout._lasthover=R,c._fullLayout._hoversubplot=s.id},R.onmouseout=function(t){c._dragging||v.unhover(c,t)},v.init(Y)},O.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,A=I(i.radialAxisAngle),E=g._rl,C=E[0],L=E[1],z=E[r],O=.75*(E[1]-E[0])/(1-e.hole)/f;r?(b=p+(f+x)*Math.cos(A),_=d-(f+x)*Math.sin(A),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(A),_=d-(h-x)*Math.sin(A),T=\"radialdrag-inner\");var D,B,N,j=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),U={element:j,gd:c};F(n.select(j),g.visible&&h<f,{transform:l(b,_)}),U.prepFn=function(){D=null,B=null,N=null,U.moveFn=V,U.doneFn=q,w(c)},U.clampFn=function(t,e){return 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v=e.gd._fullLayout,y=v[e.id],x=_(A+c*t._invScaleX,E+m*t._invScaleY),b=P(x-z);if(L=C+b,i.frontplot.attr(\"transform\",l(e.xOffset2,e.yOffset2)+s([-b,d,g])),e.vangles){I=e.radialAxisAngle+b;var w=l(h,p)+s(-b),T=l(h,p)+s(-I);i.bg.attr(\"transform\",w),i[\"radial-grid\"].attr(\"transform\",w),i[\"radial-axis\"].attr(\"transform\",T),i[\"radial-line\"].select(\"line\").attr(\"transform\",T),e.updateRadialAxisTitle(v,y,I)}else e.clipPaths.forTraces.select(\"path\").attr(\"transform\",l(d,g)+s(b));D.each((function(){var t=n.select(this),e=u.getTranslate(t);t.attr(\"transform\",l(e.x,e.y)+s([b]))})),R.each((function(){var t=n.select(this),e=t.select(\"text\"),r=u.getTranslate(t);t.attr(\"transform\",s([b,e.attr(\"x\"),e.attr(\"y\")])+l(r.x,r.y))})),f.rotation=o.modHalf(L,360),e.updateAngularAxis(v,y),e._hasClipOnAxisFalse&&!o.isFullCircle(e.sectorInRad)&&O.call(u.hideOutsideRangePoints,e);var S=!1;for(var F in e.traceHash)if(a.traceIs(F,\"gl\")){var 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x={};x[h]=[v/d,(v+1)/d],a(l,e,m,x),o.id=y,f(s,l,m,o)}}},{\"../lib\":778,\"../plot_api/plot_template\":817,\"./domain\":855}],906:[function(t,e,r){\"use strict\";['Variables are inserted using %{variable}, for example \"y: %{y}\".','Numbers are formatted using d3-format\\'s syntax %{variable:d3-format}, for example \"Price: %{y:$.2f}\".',t(\"../constants/docs\").FORMAT_LINK,\"for details on the formatting syntax.\",'Dates are formatted using d3-time-format\\'s syntax %{variable|d3-time-format}, for example \"Day: %{2019-01-01|%A}\".',t(\"../constants/docs\").DATE_FORMAT_LINK,\"for details on the date formatting syntax.\"].join(\" \");function n(t){var e=t.description?\" \"+t.description:\"\",r=t.keys||[];if(r.length>0){for(var n=[],i=0;i<r.length;i++)n[i]=\"`\"+r[i]+\"`\";e+=\"Finally, the template string has access to \",e=1===r.length?\"variable \"+n[0]:\"variables \"+n.slice(0,-1).join(\", \")+\" and \"+n.slice(-1)+\".\"}return e}r.hovertemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"none\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r},r.texttemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"calc\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r}},{\"../constants/docs\":748}],907:[function(t,e,r){\"use strict\";var n=t(\"./ternary\"),i=t(\"../../plots/get_data\").getSubplotCalcData,a=t(\"../../lib\").counterRegex;r.name=\"ternary\";var o=r.attr=\"subplot\";r.idRoot=\"ternary\",r.idRegex=r.attrRegex=a(\"ternary\"),(r.attributes={})[o]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots.ternary,o=0;o<a.length;o++){var s=a[o],l=i(r,\"ternary\",s),c=e[s]._subplot;c||(c=new 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":642,\"../../lib/extend\":768,\"../../plot_api/edit_types\":810,\"../cartesian/layout_attributes\":842,\"../domain\":855}],909:[function(t,e,r){\"use 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n=t(\"d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strTranslate,l=o._,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,p=t(\"../plots\"),d=t(\"../cartesian/axes\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/dragelement/helpers\"),y=v.freeMode,x=v.rectMode,b=t(\"../../components/titles\"),_=t(\"../cartesian/select\").prepSelect,w=t(\"../cartesian/select\").selectOnClick,T=t(\"../cartesian/select\").clearSelect,k=t(\"../cartesian/select\").clearSelectionsCache,M=t(\"../cartesian/constants\");function A(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=A;var S=A.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),p.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(c.fill,r.bgcolor)},S.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below 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E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var M=p.yaxis.domain[0],A=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[M,M+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(A,p.graphDiv._fullLayout),A.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 C=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[M,M+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(C,p.graphDiv._fullLayout),C.setScale();var L=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",L),p.layers.plotbg.select(\"path\").attr(\"d\",L);var I=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",I);var P=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-A._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-C._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",A.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,A.linecolor||\"#000\").style(\"stroke-width\",(A.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var 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n=t(\"../pie/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c(\"labels\"),f=c(\"values\"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),m=c(\"texttemplate\");if(m||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),m||d&&\"none\"!==d){var v=c(\"textposition\");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1168}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":778,\"./layout_attributes\":1061}],1063:[function(t,e,r){\"use strict\";var 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0===d._deltaLastValue&&(d._deltaLastValue=a(r[0]));var l=C.select(\"text.delta\");function p(){l.text(o(a(r[0]),i)).call(m.fill,s(r[0])).call(f.convertToTspans,t)}return l.call(c.font,d.delta.font).call(m.fill,s({delta:d._deltaLastValue})),b(S)?l.transition().duration(S.duration).ease(S.easing).tween(\"text\",(function(){var t=n.select(this),e=a(r[0]),l=d._deltaLastValue,c=P(d.delta.valueformat,i,l,e),u=n.interpolateNumber(l,e);return d._deltaLastValue=e,function(e){t.text(o(u(e),c)),t.call(m.fill,s({delta:u(e)}))}})).each(\"end\",(function(){p(),E&&E()})).each(\"interrupt\",(function(){p(),E&&E()})):p(),u=k(o(a(r[0]),i),d.delta.font,A,t),l}(),O+=d.delta.position+d.delta.font.size+d.delta.font.family+d.delta.valueformat,O+=d.delta.increasing.symbol+d.delta.decreasing.symbol,p=u);d._hasNumber&&(!function(){var e=w(t,{tickformat:d.number.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=d.number.suffix,o=d.number.prefix,s=C.select(\"text.number\");function u(){var e=\"number\"==typeof r[0].y?o+i(r[0].y)+a:\"-\";s.text(e).call(c.font,d.number.font).call(f.convertToTspans,t)}b(S)?s.transition().duration(S.duration).ease(S.easing).each(\"end\",(function(){u(),E&&E()})).each(\"interrupt\",(function(){u(),E&&E()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);d._lastValue=r[0].y;var s=P(d.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(o+s(e(r))+a)}})):u(),l=k(o+i(r[0].y)+a,d.number.font,A,t)}(),O+=d.number.font.size+d.number.font.family+d.number.valueformat+d.number.suffix+d.number.prefix,p=l);if(d._hasDelta&&d._hasNumber){var D,R,F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=.75*d.delta.font.size;\"left\"===d.delta.position&&(D=M(d,\"deltaPos\",0,-1*(l.width*y[d.align]+u.width*(1-y[d.align])+N),O,Math.min),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:u.left+D,right:l.right,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\"right\"===d.delta.position&&(D=M(d,\"deltaPos\",0,l.width*(1-y[d.align])+u.width*y[d.align]+N,O,Math.max),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:l.left,right:u.right+D,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\"bottom\"===d.delta.position&&(D=null,R=u.height,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height,bottom:l.bottom+u.height}),\"top\"===d.delta.position&&(D=null,R=l.top,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height-u.height,bottom:l.bottom}),z.attr({dx:D,dy:R})}(d._hasNumber||d._hasDelta)&&C.attr(\"transform\",(function(){var t=s.numbersScaler(p);O+=t[2];var e,r=M(d,\"numbersScale\",1,t[0],O,Math.min);d._scaleNumbers||(r=1),e=d._isAngular?_-r*p.bottom:_-r*(p.top+p.bottom)/2,d._numbersTop=r*p.top+e;var n=p[T];\"center\"===T&&(n=(p.left+p.right)/2);var i=g-r*n;return i=M(d,\"numbersTranslate\",0,i,O,Math.max),o(i,e)+a(r)}))}(t,I,e,{numbersX:p,numbersY:A,numbersScaler:S,transitionOpts:r,onComplete:d}),P&&(E={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},C={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var H=I.selectAll(\"g.angular\").data(z?e:[]);H.exit().remove();var G=I.selectAll(\"g.angularaxis\").data(z?e:[]);G.exit().remove(),z&&function(t,e,r,i){var a,c,u,f,p=r[0].trace,d=i.size,g=i.radius,m=i.innerRadius,v=i.gaugeBg,y=i.gaugeOutline,x=[d.l+d.w/2,d.t+d.h/2+g/2],T=i.gauge,k=i.layer,M=i.transitionOpts,A=i.onComplete,S=Math.PI/2;function E(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((m+g)/2-t/2*(g-m)).outerRadius((m+g)/2+t/2*(g-m)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",o(x[0],x[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(a=w(t,p.gauge.axis)).type=\"linear\",a.range=p.gauge.axis.range,a._id=\"xangularaxis\",a.setScale();var I=function(t){return(a.range[0]-t.x)/(a.range[1]-a.range[0])*Math.PI+Math.PI},P={},z=h.makeLabelFns(a,0).labelStandoff;P.xFn=function(t){var e=I(t);return Math.cos(e)*z},P.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*l)},P.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},P.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return o(x[0]+g*Math.cos(t),x[1]-g*Math.sin(t))};u=function(t){return O(I(t))};if(c=h.calcTicks(a),f=h.getTickSigns(a)[2],a.visible){f=\"inside\"===a.ticks?-1:1;var D=(a.linewidth||1)/2;h.drawTicks(t,a,{vals:c,layer:k,path:\"M\"+f*D+\",0h\"+f*a.ticklen,transFn:function(t){var e=I(t);return O(e)+\"rotate(\"+-s(e)+\")\"}}),h.drawLabels(t,a,{vals:c,layer:k,transFn:u,labelFns:P})}var R=[v].concat(p.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(_),F.exit().remove();var B=C(p.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([p.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");b(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(_),N.exit().remove(),R=[];var H=p.gauge.threshold.value;H&&R.push({range:[H,H],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(_),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([y]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(_),Y.exit().remove()}(t,0,e,{radius:N,innerRadius:j,gauge:H,layer:G,size:R,gaugeBg:E,gaugeOutline:C,transitionOpts:r,onComplete:d});var Y=I.selectAll(\"g.bullet\").data(O?e:[]);Y.exit().remove();var W=I.selectAll(\"g.bulletaxis\").data(O?e:[]);W.exit().remove(),O&&function(t,e,r,n){var i,a,s,l,c,f=r[0].trace,p=n.gauge,d=n.layer,g=n.gaugeBg,v=n.gaugeOutline,y=n.size,x=f.domain,T=n.transitionOpts,k=n.onComplete;p.enter().append(\"g\").classed(\"bullet\",!0),p.attr(\"transform\",o(y.l,y.t)),d.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),d.selectAll(\"g.xbulletaxistick,path,text\").remove();var M=y.h,A=f.gauge.bar.thickness*M,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(f._hasNumber||f._hasDelta?1-u.bulletNumberDomainSize:1);(i=w(t,f.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=h.calcTicks(i),s=h.makeTransTickFn(i),l=h.getTickSigns(i)[2],c=y.t+y.h,i.visible&&(h.drawTicks(t,i,{vals:\"inside\"===i.ticks?h.clipEnds(i,a):a,layer:d,path:h.makeTickPath(i,c,l),transFn:s}),h.drawLabels(t,i,{vals:a,layer:d,transFn:s,labelFns:h.makeLabelFns(i,c)}));function C(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*M})).attr(\"height\",(function(t){return t.thickness*M}))}var L=[g].concat(f.gauge.steps),I=p.selectAll(\"g.bg-bullet\").data(L);I.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),I.select(\"rect\").call(C).call(_),I.exit().remove();var P=p.selectAll(\"g.value-bullet\").data([f.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",A).attr(\"y\",(M-A)/2).call(_),b(T)?P.select(\"rect\").transition().duration(T.duration).ease(T.easing).each(\"end\",(function(){k&&k()})).each(\"interrupt\",(function(){k&&k()})).attr(\"width\",Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var z=r.filter((function(){return f.gauge.threshold.value})),O=p.selectAll(\"g.threshold-bullet\").data(z);O.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),O.select(\"line\").attr(\"x1\",i.c2p(f.gauge.threshold.value)).attr(\"x2\",i.c2p(f.gauge.threshold.value)).attr(\"y1\",(1-f.gauge.threshold.thickness)/2*M).attr(\"y2\",(1-(1-f.gauge.threshold.thickness)/2)*M).call(m.stroke,f.gauge.threshold.line.color).style(\"stroke-width\",f.gauge.threshold.line.width),O.exit().remove();var D=p.selectAll(\"g.gauge-outline\").data([v]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(C).call(_),D.exit().remove()}(t,0,e,{gauge:Y,layer:W,size:R,gaugeBg:E,gaugeOutline:C,transitionOpts:r,onComplete:d});var X=I.selectAll(\"text.title\").data(e);X.exit().remove(),X.enter().append(\"text\").classed(\"title\",!0),X.attr(\"text-anchor\",(function(){return O?v.right:v[L.title.align]})).text(L.title.text).call(c.font,L.title.font).call(f.convertToTspans,t),X.attr(\"transform\",(function(){var t,e=R.l+R.w*y[L.title.align],r=u.titlePadding,n=c.bBox(X.node());if(P){if(z)if(L.gauge.axis.visible)t=c.bBox(G.node()).top-r-n.bottom;else t=R.t+R.h/2-N/2-n.bottom-r;O&&(t=A-(n.top+n.bottom)/2,e=R.l-u.bulletPadding*R.w)}else t=L._numbersTop-r-n.bottom;return o(e,t)}))}))}},{\"../../components/color\":643,\"../../components/drawing\":665,\"../../constants/alignment\":745,\"../../lib\":778,\"../../lib/svg_text_utils\":803,\"../../plots/cartesian/axes\":828,\"../../plots/cartesian/axis_defaults\":830,\"../../plots/cartesian/layout_attributes\":842,\"../../plots/cartesian/position_defaults\":845,\"./constants\":1119,d3:169}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:a.opacity,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":810,\"../../plots/attributes\":824,\"../../plots/template_attributes\":906,\"../mesh3d/attributes\":1128}],1124:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),i=t(\"../streamtube/calc\").processGrid,a=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":651,\"../streamtube/calc\":1295}],1125:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var 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0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=f(S,E.color,E.rawColor)),h(M[C],x,d)}var L,I=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<I.length;b++){var P=I[b].containerInd,z=m[b].inds[x],O=I[b].categories;if(void 0===O[z]){var D=e.dimensions[P]._categoryarray[z],R=e.dimensions[P]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(I,M,g))}},{\"../../components/colorscale/calc\":651,\"../../components/colorscale/helpers\":654,\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/filter_unique.js\":769,\"../../lib/gup\":775,\"fast-isnumeric\":241}],1145:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":653,\"../../components/colorscale/helpers\":654,\"../../lib\":778,\"../../plots/array_container_defaults\":823,\"../../plots/domain\":855,\"../parcoords/merge_length\":1158,\"./attributes\":1142}],1146:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1142,\"./base_plot\":1143,\"./calc\":1144,\"./defaults\":1145,\"./plot\":1148}],1147:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plot_api/plot_api\"),a=t(\"../../components/fx\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../components/drawing\"),c=t(\"tinycolor2\"),u=t(\"../../lib/svg_text_utils\");function f(t,e,r,i){var a=t.map(R.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var f=c.selectAll(\"g.trace.parcats\").data(a,h),v=f.enter().append(\"g\").attr(\"class\",\"trace parcats\");f.attr(\"transform\",(function(t){return s(t.x,t.y)})),v.append(\"g\").attr(\"class\",\"paths\");var y=f.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);y.attr(\"fill\",(function(t){return t.model.color}));var _=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);b(_),y.attr(\"d\",(function(t){return t.svgD})),_.empty()||y.sort(d),y.exit().remove(),y.on(\"mouseover\",g).on(\"mouseout\",m).on(\"click\",x),v.append(\"g\").attr(\"class\",\"dimensions\");var k=f.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);k.enter().append(\"g\").attr(\"class\",\"dimension\"),k.attr(\"transform\",(function(t){return s(t.x,0)})),k.exit().remove();var M=k.selectAll(\"g.category\").data((function(t){return t.categories}),h),A=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return s(0,t.y)})),A.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),w(A);var S=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);S.each((function(){o.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var z=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),T(z),S.exit().remove(),A.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var O=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return p(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",O+\" -1px 1px 2px, \"+O+\" 1px 1px 2px, \"+O+\" 1px -1px 2px, \"+O+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return p(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){l.font(n.select(this),t.parcatsViewModel.categorylabelfont),u.convertToTspans(n.select(this),e)})),A.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){l.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",E).on(\"mouseout\",C),M.exit().remove(),k.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",L).on(\"drag\",I).on(\"dragend\",P)),f.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\")})),f.exit().remove()}function h(t){return t.key}function p(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function d(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\")){o.raiseToTop(this),_(n.select(this));var e=v(t),r=y(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,s,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var m=t.parcatsViewModel.dimensions[l],x=t.parcatsViewModel.dimensions[l+1];i=(m.x+m.width+x.x)/2,s=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,w=t.parcatsViewModel.y+s,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(f)[0];a.loneHover({trace:h,x:b-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:h._input,fullData:h,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function m(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(d),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function y(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 x(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(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 _(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function w(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function T(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(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){k(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function A(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=k(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=k(t);_(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=S(r,s,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=u.parcatsViewModel.model.count,y=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},M=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&M.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(M.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),M.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),M.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var A=M.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:A,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:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,s,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(S(t,e,this))})),i}(r,s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(b(e.pathSelection),w(e.dimensionSelection.selectAll(\"g.category\")),T(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(d),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?A(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function L(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,o.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,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}N(t.parcatsViewModel),B(t.parcatsViewModel),D(t.parcatsViewModel),O(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?A(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,N(t.parcatsViewModel),B(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){D(t.parcatsViewModel,!0),O(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function O(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function D(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return s(t.x,0)})),r(i).attr(\"transform\",(function(t){return s(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 p(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return p(t)?t.width+5:-5})).each((function(t){var e,r;p(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}),h),l=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})),T(l),a.each((function(){o.raiseToTop(this)})),a.exit().remove()}function R(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(N(g),B(g)),g}function F(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+i+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+i)+\" \"+l[s]+\",\"+(e[s]+i)+\" \"+(t[s]+r[s])+\",\"+(e[s]+i),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function B(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?F(s,x,l,m,.5):F(s,x,l,m,0),h[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function N(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(j(t,a))}t.dimensions=r}function j(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<h;c++)l=m[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){f(r,t,n,e)}},{\"../../components/drawing\":665,\"../../components/fx\":683,\"../../lib\":778,\"../../lib/svg_text_utils\":803,\"../../plot_api/plot_api\":814,d3:169,tinycolor2:576}],1148:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":1147}],1149:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/plot_template\":817,\"../../plots/cartesian/layout_attributes\":842,\"../../plots/domain\":855,\"../../plots/font_attributes\":856}],1150:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function g(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function m(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&A(r)):A(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||A(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function M(t,e){return t[0]-e[0]}function A(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(M)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),e.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(x);var i=t.selectAll(\".highlight\").data(o);i.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(M)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":778,\"../../lib/gup\":775,\"./constants\":1153,d3:169}],1151:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":754,\"../../plots/get_data\":865,\"./plot\":1160,d3:169}],1152:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":655,\"../../lib\":778,\"../../lib/gup\":775}],1153:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1154:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":653,\"../../components/colorscale/helpers\":654,\"../../lib\":778,\"../../plots/array_container_defaults\":823,\"../../plots/cartesian/axes\":828,\"../../plots/domain\":855,\"./attributes\":1149,\"./axisbrush\":1150,\"./constants\":1153,\"./merge_length\":1158}],1155:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":778}],1156:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1149,\"./base_plot\":1151,\"./calc\":1152,\"./defaults\":1154,\"./plot\":1160}],1157:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n p17_20, p21_24, p25_28, p29_32,\\n p33_36, p37_40, p41_44, p45_48,\\n p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\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(mask,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===i?1:0,d[1][g]=g===a?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:h,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];C(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[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,[u[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 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":642,\"../../lib/extend\":768,\"../../plots/attributes\":824,\"../../plots/domain\":855,\"../../plots/font_attributes\":856,\"../../plots/template_attributes\":906}],1162:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":891}],1163:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),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}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":643,\"fast-isnumeric\":241,tinycolor2:576}],1164:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":778,\"../../plots/domain\":855,\"../bar/defaults\":925,\"./attributes\":1161,\"fast-isnumeric\":241}],1165:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":679}],1166:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":778}],1167:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1161,\"./base_plot\":1162,\"./calc\":1163,\"./defaults\":1164,\"./layout_attributes\":1168,\"./layout_defaults\":1169,\"./plot\":1170,\"./style\":1171,\"./style_one\":1172}],1168:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1169:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":778,\"./layout_attributes\":1168}],1170:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.trace,s=i.cx,c=i.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var f=u.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[m.castOption(f,t.pts)],_module:o._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var h=t.rInscribed||0,p=s+t.pxmid[0]*(1-h),d=c+t.pxmid[1]*(1-h),g=r.separators,y=[];if(f&&-1!==f.indexOf(\"label\")&&y.push(t.label),t.text=m.castOption(u.hovertext||u.text,t.pts),f&&-1!==f.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,g),f&&-1!==f.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,g),f&&-1!==f.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;a.loneHover({trace:o,x0:p-h*i.r,x1:p+h*i.r,y:d,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==f.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(b.bgcolor,t.pts)||t.color,borderColor:m.castOption(b.bordercolor,t.pts),fontFamily:m.castOption(_.family,t.pts),fontSize:m.castOption(_.size,t.pts),fontColor:m.castOption(_.color,t.pts),nameLength:m.castOption(b.namelength,t.pts),textAlign:m.castOption(b.align,t.pts),hovertemplate:m.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(s,i)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:M(a,o/e),rotate:A(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:M(a,o/e),rotate:A(i+Math.PI/2)}}function M(t,e){return Math.cos(e)-t*e}function A(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 C(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 L(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=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(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 P(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 z(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-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(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-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),z(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,s+=l*r.v/2,n=O(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+L(i.px0,i.pxmid,!0,1)+L(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+L(i.px0,i.pxmid,!1,T)+L(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var M=L(i.px0,i.px1,!0,1);if(T){var A=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+L(i.px1,i.px0,!1,T)+\"l\"+A*i.px0[0]+\",\"+A*i.px0[1]+M+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=C(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=C(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:O(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var M=v.targetY;i.yLabelMin=M-y.height/2,i.yLabelMid=M,i.yLabelMax=M+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):L(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),M=g.domain,A=a.w*(M.x[1]-M.x[0]),S=a.h*(M.y[1]-M.y[0]),E=(.5*A-d.r)/a.w,I=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:M.x[0]-E,xr:M.x[1]+E,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:L,prerenderTitles:_,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":643,\"../../components/drawing\":665,\"../../components/fx\":683,\"../../lib\":778,\"../../lib/svg_text_utils\":803,\"../../plots/plots\":891,\"../bar/constants\":923,\"../bar/uniform_text\":937,\"./event_data\":1165,\"./helpers\":1166,d3:169}],1171:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":937,\"./style_one\":1172,d3:169}],1172:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":643,\"./helpers\":1166}],1173:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1187}],1174:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../lib/str2rgbarray\":802,\"../../plots/cartesian/autorange\":827,\"../scatter/get_trace_color\":1197,\"gl-pointcloud2d\":324}],1175:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":778,\"./attributes\":1173}],1176:[function(t,e,r){\"use 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=h({hoverinfo:f({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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o=n[t=i[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=a(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*g,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes));i.update(k)}return{circular:b,key:r,trace:s,guid:f.randstr(),horizontal:h,width:g,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:h?v:g,dragPerpendicular:h?g:v,arrangement:s.arrangement,sankey:i,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function b(t,e,r){var n=a(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:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:_,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function _(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,i=t.link.source.x1,a=t.link.target.x0,o=v(i,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2;return\"M\"+i+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"L\"+a+\",\"+h+\"C\"+l+\",\"+h+\" \"+s+\",\"+u+\" \"+i+\",\"+u+\"Z\"}}function w(t,e){var r=a(e.color),i=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,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(l),visibleHeight:c,zoneX:-i,zoneY:-s,zoneWidth:l+2*i,zoneHeight:c+2*s,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:o.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,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function T(t){t.attr(\"transform\",(function(t){return h(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function k(t){t.call(T)}function M(t,e){t.call(k),e.attr(\"d\",_())}function A(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function S(t){return t.link.width>1||t.linkLineWidth>0}function E(t){return h(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function C(t){return h(t.horizontal?0:t.labelY,t.horizontal?t.labelY:0)}function L(t){return i.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function I(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function z(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function O(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function R(t,e,r,a){var o=i.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(i){if(\"fixed\"!==i.arrangement&&(f.ensureSingle(a._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){a._fullLayout._dragCover=t})),f.raiseToTop(this),i.interactionState.dragInProgress=i.node,B(i.node),i.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,i.interactionState.hovered),i.interactionState.hovered=!1),\"snap\"===i.arrangement)){var o=i.traceId+\"|\"+i.key;i.forceLayouts[o]?i.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(a).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,i){return function(){for(var t=0,a=0;a<r.length;a++){var o=r[a];o===i.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(i.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!i.interactionState.dragInProgress&&t<.1&&i.forceLayouts[e].alpha()>0&&i.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,i),function(t,e,r,i,a){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[i].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),M(t.filter(N(r)),e),r.forceLayouts[i].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,F(r,a)}}))}(t,e,i,o,a)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=i.event.x,a=i.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),a=Math.max(0,Math.min(r.size-r.visibleHeight/2,a)),r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2),B(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),M(t.filter(N(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&F(t,a)}}));t.on(\".drag\",null).call(o)}function F(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}y.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function B(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function N(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var h=t._fullLayout._dragCover,p=r.filter((function(t){return m(t).trace.visible})).map(x.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(p,d);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",E),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=i.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",E);var y=v.selectAll(\".\"+n.cn.sankeyLinks).data(g,d);y.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=y.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(b.bind(null,t))}),d);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(D,v,c.linkEvents),k.style(\"stroke\",(function(t){return S(t)?o.tinyRGB(a(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return S(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return S(t)?t.linkLineWidth:1})).attr(\"d\",_()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||h?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var M=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(g,d);M.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),M.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=M.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(w.bind(null,t))}),d);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(T).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(D,v,c.nodeEvents).call(R,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(T).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),F.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var B=F.selectAll(\".\"+n.cn.nodeRect).data(g);B.enter().append(\"rect\").classed(n.cn.nodeRect,!0).call(A),B.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return o.tinyRGB(a(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return o.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),B.transition().ease(n.ease).duration(n.duration).call(A);var N=F.selectAll(\".\"+n.cn.nodeCapture).data(g);N.enter().append(\"rect\").classed(n.cn.nodeCapture,!0).style(\"fill-opacity\",0),N.attr(\"x\",(function(t){return t.zoneX})).attr(\"y\",(function(t){return t.zoneY})).attr(\"width\",(function(t){return t.zoneWidth})).attr(\"height\",(function(t){return t.zoneHeight}));var 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":778,\"../scatter/constants\":1191,\"../scatter/fillcolor_defaults\":1195,\"../scatter/line_defaults\":1200,\"../scatter/line_shape_defaults\":1202,\"../scatter/marker_defaults\":1206,\"../scatter/subtypes\":1212,\"../scatter/text_defaults\":1213,\"./attributes\":1221}],1224:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],1225:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1226:[function(t,e,r){\"use 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n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":665,\"../../plots/cartesian/axes\":828,\"../scatter/plot\":1208}],1229:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":778,\"../scatter/fillcolor_defaults\":1195,\"../scatter/line_defaults\":1200,\"../scatter/marker_defaults\":1206,\"../scatter/subtypes\":1212,\"../scatter/text_defaults\":1213,\"./attributes\":1229}],1232:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],1233:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":828}],1234:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),f.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(g,c,x);return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":665,\"../../components/fx/helpers\":679,\"../../constants/interactions\":752,\"../../lib\":778,\"../../lib/gl_format_color\":774,\"../../plots/cartesian/axis_ids\":831,\"../../registry\":911,\"../scatter/make_bubble_size_func\":1204,\"../scatter/subtypes\":1212,\"./constants\":1241,\"./helpers\":1246,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":574}],1243:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m);var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":778,\"../../registry\":911,\"../scatter/constants\":1191,\"../scatter/fillcolor_defaults\":1195,\"../scatter/line_defaults\":1200,\"../scatter/marker_defaults\":1206,\"../scatter/period_defaults\":1207,\"../scatter/subtypes\":1212,\"../scatter/text_defaults\":1213,\"../scatter/xy_defaults\":1214,\"./attributes\":1239,\"./helpers\":1246}],1244:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":643,\"../../constants/interactions\":752,\"../../lib\":778}],1245:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":1196}],1246:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1241}],1247:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,M=o._origY,A=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:M?M[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?A.text=h.htx:h.tx?A.text=h.tx:o.text&&(A.text=o.text),i.fillText(h,o,A),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);i=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else i=g.ids;var E=T;if(\"x\"===n)for(c=0;c<i.length;c++)s=x[i[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,f=y.c2p(b[i[c]])-w,p=Math.sqrt(u*u+f*f),a=i[c]);else for(c=i.length-1;c>-1;c--)s=x[i[c]],l=b[i[c]],u=v.c2p(s)-_,f=y.c2p(l)-w,(h=Math.sqrt(u*u+f*f))<E&&(E=p=h,a=i[c]);return t.index=a,t.distance=E,t.dxy=p,void 0===a?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":778,\"../../registry\":911,\"../scatter/get_trace_color\":1197}],1248:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":841,\"../scatter/cross_trace_defaults\":1193,\"../scatter/marker_colorbar\":1205,\"./attributes\":1239,\"./calc\":1240,\"./defaults\":1243,\"./format_labels\":1245,\"./hover\":1247,\"./plot\":1249,\"./select\":1251}],1249:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,i=t.width,a=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,i-n.r-(1-e.domain[1])*n.w,a-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,I=L.index,P=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[I]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<P;g++)R[g]||F.push(g);v.unselectBatch[I]=F}var B=L.xpx=new Array(P),N=L.ypx=new Array(P);for(g=0;g<P;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":661,\"../../lib\":778,\"../../lib/prepare_regl\":791,\"../scatter/link_traces\":1203,\"../scatter/subtypes\":1212,\"./edit_style\":1244,\"gl-text\":352,\"regl-error2d\":534,\"regl-line2d\":535,\"regl-scatter2d\":537}],1250:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":810,\"../../plots/attributes\":824,\"../../plots/mapbox/layout_attributes\":887,\"../../plots/template_attributes\":906,\"../scatter/attributes\":1187,\"../scattergeo/attributes\":1229}],1253:[function(t,e,r){\"use 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e,r,i,a,s,l,c,u,f,h,p,d,g=t._x,m=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,M=\"\";for(y&&(c=g[0],f=m[0],p=v[0]),y>1&&(u=g[y-1],h=m[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,m[e]),w=Math.min(w,m[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||g[e]===c||(a=!0,M+=\"x\"),s||m[e]===f||(s=!0,M+=\"y\"),l||v[e]===p||(l=!0,M+=\"z\");a||(M+=\"x\"),s||(M+=\"y\"),l||(M+=\"z\");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(f>h?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var C=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?g:\"y\"===t?m:v},I=function(t){return\"x\"===t?A:\"y\"===t?S:E},P=function(t){return t[y-1]<t[0]?-1:1},z=L(M[1]),O=L(M[3]),D=L(M[5]),R=I(M[1]).length,F=I(M[3]).length,B=I(M[5]).length,N=!1,j=function(t,e,r){return 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=x.formatValue(u.v,l)),M.currentPath=x.getPath(t.data),h||(M.percentParent=d/x.getValue(p),M.percentParentLabel=x.formatPercent(M.percentParent,l),M.parent=x.getPtLabel(p)),M.percentEntry=d/x.getValue(e),M.percentEntryLabel=x.formatPercent(M.percentEntry,l),M.entry=x.getPtLabel(e),M.percentRoot=d/x.getValue(f),M.percentRootLabel=x.formatPercent(M.percentRoot,l),M.root=x.getPtLabel(f),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,i._d3locale,M,r._meta||{})}},{\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/svg_text_utils\":803,\"../bar/style\":935,\"../bar/uniform_text\":937,\"../pie/helpers\":1166,\"../pie/plot\":1170,\"./constants\":1302,\"./fx\":1304,\"./helpers\":1305,\"./style\":1310,d3:169,\"d3-hierarchy\":161}],1310:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":643,\"../../lib\":778,\"../bar/uniform_text\":937,d3:169}],1311:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({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:a(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},i.zauto,{}),zmin:s({},i.zmin,{}),zmax:s({},i.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":643,\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":810,\"../../plots/attributes\":824,\"../../plots/template_attributes\":906}],1312:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":651}],1313:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),i=t(\"ndarray\"),a=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),g=l.dataScale,m=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v])];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(m*v),[m,v]);for(r=0;r<m;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=g[2],w.intensityBounds[1]*=g[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var M=[!0,!0,!0],A=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=M,p.enableHighlight=M,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../components/colorscale\":655,\"../../lib\":778,\"../../lib/gl_format_color\":774,\"../../lib/str2rgbarray\":802,\"../heatmap/find_empties\":1071,\"../heatmap/interp2d\":1074,\"gl-surface3d\":351,ndarray:495,\"ndarray-linear-interpolate\":489}],1314:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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d=i.ensureSingle(h,\"g\",\"slicetext\"),T=i.ensureSingle(d,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(C,s,S.font,{onPathbar:!0}));T.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",\"start\").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween(\"transform\",(function(t){var e=M(t,!0,A,[g,m]);return function(t){return _(e(t))}})):T.attr(\"transform\",_(s))}))}},{\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/svg_text_utils\":803,\"../sunburst/fx\":1304,\"../sunburst/helpers\":1305,\"./constants\":1328,\"./partition\":1335,\"./style\":1337,d3:169}],1331:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),f=t(\"../sunburst/fx\"),h=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../box/defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\"),plot:t(\"./plot\"),style:t(\"./style\"),styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../box/select\"),moduleType:\"trace\",name:\"violin\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"violinLayout\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":841,\"../box/defaults\":949,\"../box/select\":956,\"../scatter/style\":1211,\"./attributes\":1338,\"./calc\":1339,\"./cross_trace_calc\":1340,\"./defaults\":1341,\"./hover\":1343,\"./layout_attributes\":1345,\"./layout_defaults\":1346,\"./plot\":1347,\"./style\":1348}],1345:[function(t,e,r){\"use strict\";var 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f={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(f).call(i.stroke,c.color),o.selectAll(\"path.meanline\").style(f).call(i.stroke,c.color),a(o,r,t)}))}},{\"../../components/color\":643,\"../scatter/style\":1211,d3:169}],1349:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../isosurface/attributes\"),a=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:i.x,y:i.y,z:i.z,value:i.value,isomin:i.isomin,isomax:i.isomax,surface:i.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:i.slices,caps:i.caps,text:i.text,hovertext:i.hovertext,hovertemplate:i.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:i.colorbar,opacity:i.opacity,opacityscale:a.opacityscale,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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+ " \n",
+ "var gd = document.getElementById('ef31cddf-66e2-4118-8d1b-95dc559a981c');\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",
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+ "\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",
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+ " }) }; }); </script> </div>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig = px.scatter_geo(ozone_values, lat='lat', lon='lon', color='rf_delta')\n",
+ "fig.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/jupyter/save_o3_predictions_as_csv.ipynb b/jupyter/save_o3_predictions_as_csv.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..ec0e79374c27d94baff98e5b5ad9fc5f226308bc
--- /dev/null
+++ b/jupyter/save_o3_predictions_as_csv.ipynb
@@ -0,0 +1,881 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Author: Scarlet Stadtler\n",
+ "This notebook takes pre-trained Random Forest and Neural Network and saves their predictions as .csv files. These files are used for the station finder to look at individual stations using explainable AI. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import pickle\n",
+ "\n",
+ "import settings\n",
+ "from models.random_forest import RandomForest\n",
+ "from models.neural_network import NeuralNetwork"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Create o3_predictions.csv for random forest"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load RF and predict\n",
+ "model_dir = ('egu_pruned_rf/')\n",
+ "model = RandomForest(output_folder=model_dir)\n",
+ "model.load_model()\n",
+ "model.get_data(data_for='testing', inputs='egu_pruned',\n",
+ " targets=['o3_average_values'], scaling=None)\n",
+ "\n",
+ "model.predict()\n",
+ "pred_o3 = model.pred['pred']['o3_average_values']\n",
+ "# Predictions are stored in an array without station ids"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Int64Index([ 3336, 3340, 3354, 3357, 3373, 3389, 3408, 3411, 3417,\n",
+ " 3434,\n",
+ " ...\n",
+ " 17595, 17597, 17599, 17626, 17629, 17659, 17660, 17662, 17664,\n",
+ " 17683],\n",
+ " dtype='int64', name='id', length=1110)"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# To recover station ids we need the AQ-Bench file\n",
+ "aqb_file = settings.resources_dir+settings.AQbench_dataset_file\n",
+ "aqb = pd.read_csv(aqb_file, index_col='id')\n",
+ "aqb = aqb.join(model.data.data, how='inner', lsuffix='none')\n",
+ "aqb_o3 = aqb['o3_average_values']\n",
+ "aqb_dataset = aqb['dataset']\n",
+ "aqb_o3[aqb_dataset=='test'].index"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "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>prediction_unscaled</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>id</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>3336</th>\n",
+ " <td>25.848900</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3340</th>\n",
+ " <td>21.015103</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3354</th>\n",
+ " <td>21.229105</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3357</th>\n",
+ " <td>31.243528</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3373</th>\n",
+ " <td>25.324702</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17659</th>\n",
+ " <td>32.051435</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17660</th>\n",
+ " <td>26.102184</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17662</th>\n",
+ " <td>49.211292</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17664</th>\n",
+ " <td>26.008131</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17683</th>\n",
+ " <td>20.828295</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1110 rows × 1 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " prediction_unscaled\n",
+ "id \n",
+ "3336 25.848900\n",
+ "3340 21.015103\n",
+ "3354 21.229105\n",
+ "3357 31.243528\n",
+ "3373 25.324702\n",
+ "... ...\n",
+ "17659 32.051435\n",
+ "17660 26.102184\n",
+ "17662 49.211292\n",
+ "17664 26.008131\n",
+ "17683 20.828295\n",
+ "\n",
+ "[1110 rows x 1 columns]"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "temp_array = pred_o3[aqb_dataset=='test']\n",
+ "pred_o3_df = pd.DataFrame(data=temp_array, columns=['prediction_unscaled'], index=aqb_o3[aqb_dataset=='test'].index)\n",
+ "# Look if prediction dataframe looks like we wanted\n",
+ "pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Save as csv file\n",
+ "pred_o3_df.to_csv(settings.model_database_dir + model_dir+'o3_predictions.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "del model_dir\n",
+ "del pred_o3 \n",
+ "del temp_array\n",
+ "del pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Create o3_predictions.csv for shallow neural network (scaled features and scaled targets)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [],
+ "source": [
+ "# Load NN and predict\n",
+ "model_dir = ('egu_pruned_nn_scale_targets_true/')\n",
+ "model = NeuralNetwork(output_folder=model_dir)\n",
+ "model.load_model()\n",
+ "model.get_data(data_for='testing', inputs='egu_pruned',\n",
+ " targets=['o3_average_values'], scaling=None)\n",
+ "\n",
+ "model.predict()\n",
+ "scaled_pred_o3 = model.pred['pred']['o3_average_values']\n",
+ "temp_array = scaled_pred_o3[aqb_dataset=='test']\n",
+ "scaled_pred_o3_df = pd.DataFrame(data=temp_array, columns=['prediction_scaled'], index=aqb_o3[aqb_dataset=='test'].index)\n",
+ "del temp_array"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Predictions are scaled, we need also to save the unscaled values\n",
+ "path_scaler = settings.model_database_dir + model_dir + 'data_scalers/o3_average_values.pkl'\n",
+ "loaded_scaler = pickle.load(open(path_scaler, 'rb'))\n",
+ "unscaled_pred_o3 = loaded_scaler.inverse_transform(scaled_pred_o3)\n",
+ "temp_array = unscaled_pred_o3[aqb_dataset=='test']\n",
+ "unscaled_pred_o3_df = pd.DataFrame(data=temp_array, columns=['prediction_unscaled'], index=aqb_o3[aqb_dataset=='test'].index)\n",
+ "del temp_array"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [],
+ "source": [
+ "pred_o3_df = pd.merge(scaled_pred_o3_df, unscaled_pred_o3_df, left_index=True, right_index=True)\n",
+ "# Look if prediction dataframe looks like we wanted"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pred_o3_df.to_csv(settings.model_database_dir + model_dir+'o3_predictions.csv') "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "del model_dir\n",
+ "del pred_o3 \n",
+ "del temp_array\n",
+ "del pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Create o3_predictions.csv for shallow neural network (scaled features, but unscaled targets)\n",
+ "There seems to be a difference between the predictions which leads to faulty shap force plots."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Load NN and predict\n",
+ "model_dir = ('egu_pruned_nn/')\n",
+ "model = NeuralNetwork(output_folder=model_dir)\n",
+ "model.load_model()\n",
+ "model.get_data(data_for='testing', inputs='egu_pruned',\n",
+ " targets=['o3_average_values'], scaling=None)\n",
+ "\n",
+ "model.predict()\n",
+ "pred_o3 = model.pred['pred']['o3_average_values']\n",
+ "temp_array = pred_o3[aqb_dataset=='test']\n",
+ "pred_o3_df = pd.DataFrame(data=temp_array, columns=['prediction_unscaled'], index=aqb_o3[aqb_dataset=='test'].index)\n",
+ "del temp_array"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pred_o3_df.to_csv(settings.model_database_dir + model_dir+'o3_predictions.csv') "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#delta = unscaled_df.subtract(scaled_df.prediction_unscaled, axis='rows')\n",
+ "#max(delta.prediction_unscaled)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "del model_dir\n",
+ "del pred_o3 \n",
+ "del temp_array\n",
+ "del pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Save predictions for whole dataset\n",
+ "### For shallow neural network with scaled features, but unscaled targets"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load NN and predict\n",
+ "model_dir = ('egu_pruned_nn/')\n",
+ "model = NeuralNetwork(output_folder=model_dir)\n",
+ "model.load_model()\n",
+ "# Whyever we first have to load some data\n",
+ "model.get_data(data_for='testing', inputs='egu_pruned',\n",
+ " targets=['o3_average_values'], scaling=None)\n",
+ "# Then here we can insert the features of the whole dataset which is available through model.data.x['pred'] \n",
+ "model.get_data(insert={'x':model.data.x['pred']})\n",
+ "model.predict()\n",
+ "pred_o3 = model.pred['pred']['o3_average_values']\n",
+ "pred_o3_df = pd.DataFrame(data=pred_o3, columns=['prediction_unscaled'], index=aqb_o3.index)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "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>prediction_unscaled</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>id</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>3336</th>\n",
+ " <td>28.564011</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3338</th>\n",
+ " <td>27.846142</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3339</th>\n",
+ " <td>20.398333</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3340</th>\n",
+ " <td>21.637676</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3341</th>\n",
+ " <td>20.845308</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17685</th>\n",
+ " <td>21.153421</td>\n",
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+ " <tr>\n",
+ " <th>17718</th>\n",
+ " <td>22.634516</td>\n",
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+ " <tr>\n",
+ " <th>17719</th>\n",
+ " <td>25.379042</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17720</th>\n",
+ " <td>29.497187</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17722</th>\n",
+ " <td>26.533878</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5565 rows × 1 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " prediction_unscaled\n",
+ "id \n",
+ "3336 28.564011\n",
+ "3338 27.846142\n",
+ "3339 20.398333\n",
+ "3340 21.637676\n",
+ "3341 20.845308\n",
+ "... ...\n",
+ "17685 21.153421\n",
+ "17718 22.634516\n",
+ "17719 25.379042\n",
+ "17720 29.497187\n",
+ "17722 26.533878\n",
+ "\n",
+ "[5565 rows x 1 columns]"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pred_o3_df.to_csv(settings.model_database_dir + model_dir+'full_o3_predictions.csv') "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "del model_dir\n",
+ "del pred_o3 \n",
+ "del pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### For shallow neural network with scaled features and scaled targets"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# load NN and predict\n",
+ "model_dir = ('egu_pruned_nn_scale_targets_true/')\n",
+ "model = NeuralNetwork(output_folder=model_dir)\n",
+ "model.load_model()\n",
+ "# Whyever we first have to load some data\n",
+ "model.get_data(data_for='testing', inputs='egu_pruned',\n",
+ " targets=['o3_average_values'], scaling=None)\n",
+ "# Then here we can insert the features of the whole dataset which is available through model.data.x['pred'] \n",
+ "model.get_data(insert={'x':model.data.x['pred']})\n",
+ "model.predict()\n",
+ "scaled_pred_o3 = model.pred['pred']['o3_average_values']\n",
+ "scaled_pred_o3_df = pd.DataFrame(data=pred_o3, columns=['prediction_scaled'], index=aqb_o3.index)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# unscale\n",
+ "path_scaler = settings.model_database_dir + model_dir + 'data_scalers/o3_average_values.pkl'\n",
+ "loaded_scaler = pickle.load(open(path_scaler, 'rb'))\n",
+ "unscaled_pred_o3 = loaded_scaler.inverse_transform(scaled_pred_o3)\n",
+ "unscaled_pred_o3_df = pd.DataFrame(data=unscaled_pred_o3, columns=['prediction_unscaled'], index=aqb_o3.index)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
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+ " .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>prediction_scaled</th>\n",
+ " <th>prediction_unscaled</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>id</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>3336</th>\n",
+ " <td>-0.007189</td>\n",
+ " <td>27.839838</td>\n",
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+ " <tr>\n",
+ " <th>3338</th>\n",
+ " <td>0.001711</td>\n",
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+ " <th>3339</th>\n",
+ " <td>-0.949966</td>\n",
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+ " <td>-0.970850</td>\n",
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+ " <td>-1.021265</td>\n",
+ " <td>21.343517</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17685</th>\n",
+ " <td>-0.788869</td>\n",
+ " <td>22.832279</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17718</th>\n",
+ " <td>-0.896811</td>\n",
+ " <td>22.140783</td>\n",
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+ " <tr>\n",
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+ " <td>-0.227144</td>\n",
+ " <td>26.430771</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5565 rows × 2 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " prediction_scaled prediction_unscaled\n",
+ "id \n",
+ "3336 -0.007189 27.839838\n",
+ "3338 0.001711 27.896851\n",
+ "3339 -0.949966 21.800266\n",
+ "3340 -0.970850 21.666485\n",
+ "3341 -1.021265 21.343517\n",
+ "... ... ...\n",
+ "17685 -0.788869 22.832279\n",
+ "17718 -0.896811 22.140783\n",
+ "17719 -0.390188 25.386288\n",
+ "17720 0.194199 29.129959\n",
+ "17722 -0.227144 26.430771\n",
+ "\n",
+ "[5565 rows x 2 columns]"
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pred_o3_df = pd.merge(scaled_pred_o3_df, unscaled_pred_o3_df, left_index=True, right_index=True)\n",
+ "# Look if prediction dataframe looks like we wanted\n",
+ "pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pred_o3_df.to_csv(settings.model_database_dir + model_dir+'full_o3_predictions.csv') "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "del model_dir\n",
+ "del pred_o3 \n",
+ "del pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### For random forest"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "model_dir = ('egu_pruned_rf/')\n",
+ "model = RandomForest(output_folder=model_dir)\n",
+ "model.load_model()\n",
+ "# Whyever we first have to load some data\n",
+ "model.get_data(data_for='testing', inputs='egu_pruned',\n",
+ " targets=['o3_average_values'], scaling=None)\n",
+ "# Then here we can insert the features of the whole dataset which is available through model.data.x['pred'] \n",
+ "model.get_data(insert={'x':model.data.x['pred']})\n",
+ "model.predict()\n",
+ "pred_o3 = model.pred['pred']['o3_average_values']\n",
+ "# Predictions are stored in an array without station ids\n",
+ "pred_o3_df = pd.DataFrame(data=pred_o3, columns=['prediction_unscaled'], index=aqb_o3.index)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "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>prediction_unscaled</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>id</th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>3336</th>\n",
+ " <td>25.848900</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3338</th>\n",
+ " <td>29.591408</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3339</th>\n",
+ " <td>23.393678</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3340</th>\n",
+ " <td>21.015103</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3341</th>\n",
+ " <td>21.501095</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17685</th>\n",
+ " <td>19.357248</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17718</th>\n",
+ " <td>25.680767</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17719</th>\n",
+ " <td>26.381981</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17720</th>\n",
+ " <td>33.387028</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17722</th>\n",
+ " <td>29.075631</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5565 rows × 1 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " prediction_unscaled\n",
+ "id \n",
+ "3336 25.848900\n",
+ "3338 29.591408\n",
+ "3339 23.393678\n",
+ "3340 21.015103\n",
+ "3341 21.501095\n",
+ "... ...\n",
+ "17685 19.357248\n",
+ "17718 25.680767\n",
+ "17719 26.381981\n",
+ "17720 33.387028\n",
+ "17722 29.075631\n",
+ "\n",
+ "[5565 rows x 1 columns]"
+ ]
+ },
+ "execution_count": 62,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pred_o3_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pred_o3_df.to_csv(settings.model_database_dir + model_dir+'full_o3_predictions.csv') "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "del model_dir\n",
+ "del pred_o3 \n",
+ "del pred_o3_df"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/jupyter/shap_nn.ipynb b/jupyter/shap_nn.ipynb
index 0c9acfd0b84eb39dfb70a64daabccdd0eb6de2bb..2ccce69dd80f2fdbfc567b6b929d6608f44baa43 100755
--- a/jupyter/shap_nn.ipynb
+++ b/jupyter/shap_nn.ipynb
@@ -9,50 +9,16 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 19,
"metadata": {},
"outputs": [
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f=this._processPendingState(l,a),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,a):this._compositeType===_.PureClass&&(p=!m(s,l)||!m(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,a,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=a)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=c({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var u=r[a];c(o,\"function\"==typeof u?u.call(n,o,t,e):u)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(y(r,i))v.receiveComponent(n,i,t,this._processChildContext(e));else{var a=v.getHostNode(n);v.unmountComponent(n,!1);var u=d.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==d.EMPTY);this._renderedComponent=c;var s=v.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){l.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t,e=this._instance;return t=e.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==_.StatelessFunctional){f.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{f.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||t===!1||s.isValidElement(t)?void 0:u(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n?u(\"110\"):void 0;var r=e.getPublicInstance(),i=n.refs===g?n.refs={}:n.refs;i[t]=r},detachRef:function(t){var e=this.getPublicInstance().refs;delete e[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===_.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=x},function(t,e,n){\"use strict\";var r=n(4),i=n(358),o=n(163),a=n(24),u=n(11),c=n(371),s=n(387),l=n(167),f=n(395);n(1);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&(G[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML?v(\"137\",t._tag,t._currentElement._owner?\" Check the render method of 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q)q.hasOwnProperty(n)&&t._wrapperState.listeners.push(k.trapBubbledEvent(n,q[n],e));break;case\"source\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e),k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topReset\",\"reset\",e),k.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function f(){N.postUpdateWrapper(this)}function p(t){Z.call(X,t)||($.test(t)?void 0:v(\"65\",t),X[t]=!0)}function h(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function d(t){var e=t.type;p(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var v=n(2),g=n(3),m=n(332),y=n(334),_=n(20),b=n(82),x=n(21),w=n(156),C=n(22),M=n(83),k=n(51),E=n(157),T=n(4),S=n(351),P=n(352),N=n(158),A=n(355),O=(n(9),n(364)),I=n(369),D=(n(8),n(54)),R=(n(0),n(94),n(80),n(96),n(1),E),L=C.deleteListener,U=T.getNodeFromInstance,F=k.listenTo,j=M.registrationNameModules,B={string:!0,number:!0},W=\"style\",V=\"__html\",z={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},H=11,q={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},Y={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},K={listing:!0,pre:!0,textarea:!0},G=g({menuitem:!0},Y),$=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,X={},Z={}.hasOwnProperty,Q=1;d.displayName=\"ReactDOMComponent\",d.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=Q++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(l,this);break;case\"input\":S.mountWrapper(this,o,e),o=S.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"option\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o);break;case\"select\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o),t.getReactMountReady().enqueue(l,this)}i(this,o);var a,f;null!=e?(a=e._namespaceURI,f=e._tag):n._tag&&(a=n._namespaceURI,f=n._tag),(null==a||a===b.svg&&\"foreignobject\"===f)&&(a=b.html),a===b.html&&(\"svg\"===this._tag?a=b.svg:\"math\"===this._tag&&(a=b.mathml)),this._namespaceURI=a;var p;if(t.useCreateElement){var h,d=n._ownerDocument;if(a===b.html)if(\"script\"===this._tag){var v=d.createElement(\"div\"),g=this._currentElement.type;v.innerHTML=\"<\"+g+\"></\"+g+\">\",h=v.removeChild(v.firstChild)}else h=o.is?d.createElement(this._currentElement.type,o.is):d.createElement(this._currentElement.type);else h=d.createElementNS(a,this._currentElement.type);T.precacheNode(this,h),this._flags|=R.hasCachedChildNodes,this._hostParent||w.setAttributeForRoot(h),this._updateDOMProperties(null,o,t);var y=_(h);this._createInitialChildren(t,o,r,y),p=y}else{var x=this._createOpenTagMarkupAndPutListeners(t,o),C=this._createContentMarkup(t,o,r);p=!C&&Y[this._tag]?x+\"/>\":x+\">\"+C+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return p},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(j.hasOwnProperty(r))i&&o(this,r,i,t);else{r===W&&(i&&(i=this._previousStyleCopy=g({},e.style)),i=y.createMarkupForStyles(i,this));var a=null;null!=this._tag&&h(this._tag,e)?z.hasOwnProperty(r)||(a=w.createMarkupForCustomAttribute(r,i)):a=w.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+w.createMarkupForRoot()),n+=\" \"+w.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=D(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return K[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&_.queueHTML(r,i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&_.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)_.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=S.getHostProps(this,o),a=S.getHostProps(this,a);break;case\"option\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"select\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"textarea\":o=A.getHostProps(this,o),a=A.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":S.updateWrapper(this);break;case\"textarea\":A.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(f,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(r===W){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else j.hasOwnProperty(r)?t[r]&&L(this,r):h(this._tag,t)?z.hasOwnProperty(r)||w.deleteValueForAttribute(U(this),r):(x.properties[r]||x.isCustomAttribute(r))&&w.deleteValueForProperty(U(this),r);for(r in e){var c=e[r],s=r===W?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(r===W)if(c?c=this._previousStyleCopy=g({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(j.hasOwnProperty(r))c?o(this,r,c,n):s&&L(this,r);else if(h(this._tag,e))z.hasOwnProperty(r)||w.setValueForAttribute(U(this),r,c);else if(x.properties[r]||x.isCustomAttribute(r)){var l=U(this);null!=c?w.setValueForProperty(l,r,c):w.deleteValueForProperty(l,r)}}a&&y.setValueForStyles(U(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=B[typeof t.children]?t.children:null,o=B[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return U(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"html\":case\"head\":case\"body\":v(\"66\",this._tag)}this.unmountChildren(t),T.uncacheNode(this),C.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return U(this)}},g(d.prototype,d.Mixin,O.Mixin),t.exports=d},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(96),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" \";if(t.useCreateElement){var c=n._ownerDocument,s=c.createComment(u);return o.precacheNode(this,s),i(s)}return t.renderToStaticMarkup?\"\":\"<!--\"+u+\"-->\"},receiveComponent:function(){},getHostNode:function(){return o.getNodeFromInstance(this)},unmountComponent:function(){o.uncacheNode(this)}}),t.exports=a},function(t,e,n){\"use strict\";var r={useCreateElement:!0,useFiber:!1};t.exports=r},function(t,e,n){\"use strict\";var r=n(81),i=n(4),o={dangerouslyProcessChildrenUpdates:function(t,e){var n=i.getNodeFromInstance(t);r.processUpdates(n,e)}};t.exports=o},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&f.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=c.executeOnChange(e,t);l.asap(r,this);var i=e.name;if(\"radio\"===e.type&&null!=i){for(var a=s.getNodeFromInstance(this),u=a;u.parentNode;)u=u.parentNode;for(var f=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<f.length;p++){var h=f[p];if(h!==a&&h.form===a.form){var d=s.getInstanceFromNode(h);d?void 0:o(\"90\"),l.asap(r,d)}}}return n}var o=n(2),a=n(3),u=n(156),c=n(85),s=n(4),l=n(11),f=(n(0),n(1),{getHostProps:function(t,e){var n=c.getValue(e),r=c.getChecked(e),i=a({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange});return i},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&u.setValueForProperty(s.getNodeFromInstance(t),\"checked\",n||!1);var r=s.getNodeFromInstance(t),i=c.getValue(e);if(null!=i){var o=\"\"+i;o!==r.value&&(r.value=o)}else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=s.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=f},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(158),c=(n(1),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){var n=a.getNodeFromInstance(t);n.setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length,a=o+r;return{start:o,end:a}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(392),l=n(168),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(2),i=n(3),o=n(81),a=n(20),u=n(4),c=n(54),s=(n(0),n(96),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \",s=\" /react-text \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var l=n._ownerDocument,f=l.createComment(o),p=l.createComment(s),h=a(l.createDocumentFragment());return a.queueChild(h,a(f)),this._stringText&&a.queueChild(h,a(l.createTextNode(this._stringText))),a.queueChild(h,a(p)),u.precacheNode(this,f),this._closingComment=p,h}var d=c(this._stringText);return t.renderToStaticMarkup?d:\"<!--\"+o+\"-->\"+d+\"<!--\"+s+\"-->\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n?r(\"67\",this._domID):void 0,8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(2),a=n(3),u=n(85),c=n(4),s=n(11),l=(n(0),n(1),{getHostProps:function(t,e){null!=e.dangerouslySetInnerHTML?o(\"91\"):void 0;var n=a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange});return n},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a?o(\"92\"):void 0,Array.isArray(c)&&(c.length<=1?void 0:o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;\n",
- "n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t?void 0:c(\"33\"),\"_hostNode\"in e?void 0:c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in t?void 0:c(\"35\"),\"_hostNode\"in e?void 0:c(\"35\");for(;e;){if(e===t)return!0;e=e._hostParent}return!1}function o(t){return\"_hostNode\"in t?void 0:c(\"36\"),t._hostParent}function a(t,e,n){for(var r=[];t;)r.push(t),t=t._hostParent;var i;for(i=r.length;i-- >0;)e(r[i],\"captured\",n);for(i=0;i<r.length;i++)e(r[i],\"bubbled\",n)}function u(t,e,n,i,o){for(var a=t&&e?r(t,e):null,u=[];t&&t!==a;)u.push(t),t=t._hostParent;for(var c=[];e&&e!==a;)c.push(e),e=e._hostParent;var s;for(s=0;s<u.length;s++)n(u[s],\"bubbled\",i);for(s=c.length;s-- 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r(){C||(C=!0,y.EventEmitter.injectReactEventListener(m),y.EventPluginHub.injectEventPluginOrder(u),y.EventPluginUtils.injectComponentTree(p),y.EventPluginUtils.injectTreeTraversal(d),y.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),y.HostComponent.injectGenericComponentClass(f),y.HostComponent.injectTextComponentClass(v),y.DOMProperty.injectDOMPropertyConfig(i),y.DOMProperty.injectDOMPropertyConfig(s),y.DOMProperty.injectDOMPropertyConfig(b),y.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),y.Updates.injectReconcileTransaction(_),y.Updates.injectBatchingStrategy(g),y.Component.injectEnvironment(l))}var i=n(331),o=n(333),a=n(335),u=n(337),c=n(338),s=n(341),l=n(343),f=n(346),p=n(4),h=n(348),d=n(356),v=n(354),g=n(357),m=n(361),y=n(362),_=n(367),b=n(372),x=n(373),w=n(374),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof 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v={_enabled:!0,_handleTopLevel:null,WINDOW_HANDLE:s.canUseDOM?window:null,setHandleTopLevel:function(t){v._handleTopLevel=t},setEnabled:function(t){v._enabled=!!t},isEnabled:function(){return v._enabled},trapBubbledEvent:function(t,e,n){return n?c.listen(n,e,v.dispatchEvent.bind(null,t)):null},trapCapturedEvent:function(t,e,n){return n?c.capture(n,e,v.dispatchEvent.bind(null,t)):null},monitorScrollValue:function(t){var e=a.bind(null,t);c.listen(window,\"scroll\",e)},dispatchEvent:function(t,e){if(v._enabled){var n=i.getPooled(t,e);try{p.batchedUpdates(o,n)}finally{i.release(n)}}}};t.exports=v},function(t,e,n){\"use strict\";var r=n(21),i=n(22),o=n(50),a=n(86),u=n(159),c=n(51),s=n(161),l=n(11),f={Component:a.injection,DOMProperty:r.injection,EmptyComponent:u.injection,EventPluginHub:i.injection,EventPluginUtils:o.injection,EventEmitter:c.injection,HostComponent:s.injection,Updates:l.injection};t.exports=f},function(t,e,n){\"use strict\";var r=n(385),i=/\\/?>/,o=/^<\\!\\-\\-/,a={CHECKSUM_ATTR_NAME:\"data-react-checksum\",addChecksumToMarkup:function(t){var e=r(t);return o.test(t)?t:t.replace(i,\" \"+a.CHECKSUM_ATTR_NAME+'=\"'+e+'\"$&')},canReuseMarkup:function(t,e){var n=e.getAttribute(a.CHECKSUM_ATTR_NAME);n=n&&parseInt(n,10);var i=r(t);return i===n}};t.exports=a},function(t,e,n){\"use strict\";function r(t,e,n){return{type:\"INSERT_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:n,afterNode:e}}function i(t,e,n){return{type:\"MOVE_EXISTING\",content:null,fromIndex:t._mountIndex,fromNode:p.getHostNode(t),toIndex:n,afterNode:e}}function o(t,e){return{type:\"REMOVE_NODE\",content:null,fromIndex:t._mountIndex,fromNode:e,toIndex:null,afterNode:null}}function a(t){return{type:\"SET_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function u(t){return{type:\"TEXT_CONTENT\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function c(t,e){return e&&(t=t||[],t.push(e)),t}function s(t,e){f.processChildrenUpdates(t,e)}var l=n(2),f=n(86),p=(n(40),n(9),n(15),n(24)),h=n(342),d=(n(8),n(388)),v=(n(0),{Mixin:{_reconcilerInstantiateChildren:function(t,e,n){return h.instantiateChildren(t,e,n)},_reconcilerUpdateChildren:function(t,e,n,r,i,o){var a,u=0;return a=d(e,u),h.updateChildren(t,a,n,r,i,this,this._hostContainerInfo,o,u),a},mountChildren:function(t,e,n){var r=this._reconcilerInstantiateChildren(t,e,n);this._renderedChildren=r;var i=[],o=0;for(var a in r)if(r.hasOwnProperty(a)){var u=r[a],c=0,s=p.mountComponent(u,e,this,this._hostContainerInfo,n,c);u._mountIndex=o++,i.push(s)}return i},updateTextContent:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[u(t)];s(this,r)},updateMarkup:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[a(t)];s(this,r)},updateChildren:function(t,e,n){this._updateChildren(t,e,n)},_updateChildren:function(t,e,n){var r=this._renderedChildren,i={},o=[],a=this._reconcilerUpdateChildren(r,t,o,i,e,n);if(a||r){var u,l=null,f=0,h=0,d=0,v=null;for(u in a)if(a.hasOwnProperty(u)){var g=r&&r[u],m=a[u];g===m?(l=c(l,this.moveChild(g,v,f,h)),h=Math.max(g._mountIndex,h),g._mountIndex=f):(g&&(h=Math.max(g._mountIndex,h)),l=c(l,this._mountChildAtIndex(m,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(m)}for(u in i)i.hasOwnProperty(u)&&(l=c(l,this._unmountChild(r[u],i[u])));l&&s(this,l),this._renderedChildren=a}},unmountChildren:function(t){var e=this._renderedChildren;h.unmountChildren(e,t),this._renderedChildren=null},moveChild:function(t,e,n,r){if(t._mountIndex<r)return i(t,e,n)},createChild:function(t,e,n){return r(n,e,t._mountIndex)},removeChild:function(t,e){return o(t,e)},_mountChildAtIndex:function(t,e,n,r,i,o){return t._mountIndex=r,this.createChild(t,n,e)},_unmountChild:function(t,e){var n=this.removeChild(t,e);return t._mountIndex=null,n}}});t.exports=v},function(t,e,n){\"use strict\";function r(t){return!(!t||\"function\"!=typeof t.attachRef||\"function\"!=typeof t.detachRef)}var i=n(2),o=(n(0),{addComponentAsRefTo:function(t,e,n){r(n)?void 0:i(\"119\"),n.attachRef(e,t)},removeComponentAsRefFrom:function(t,e,n){r(n)?void 0:i(\"120\");var o=n.getPublicInstance();o&&o.refs[e]===t.getPublicInstance()&&n.detachRef(e)}});t.exports=o},function(t,e,n){\"use strict\";var r=\"SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED\";t.exports=r},function(t,e,n){\"use strict\";function r(t){this.reinitializeTransaction(),this.renderToStaticMarkup=!1,this.reactMountReady=o.getPooled(null),this.useCreateElement=t}var i=n(3),o=n(155),a=n(17),u=n(51),c=n(162),s=(n(9),n(53)),l=n(88),f={initialize:c.getSelectionInformation,close:c.restoreSelection},p={initialize:function(){var t=u.isEnabled();return u.setEnabled(!1),t},close:function(t){u.setEnabled(t)}},h={initialize:function(){this.reactMountReady.reset()},close:function(){this.reactMountReady.notifyAll()}},d=[f,p,h],v={getTransactionWrappers:function(){return d},getReactMountReady:function(){return this.reactMountReady},getUpdateQueue:function(){return l},checkpoint:function(){return this.reactMountReady.checkpoint()},rollback:function(t){this.reactMountReady.rollback(t)},destructor:function(){o.release(this.reactMountReady),this.reactMountReady=null}};i(r.prototype,s,v),a.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){\"function\"==typeof t?t(e.getPublicInstance()):o.addComponentAsRefTo(e,t,n)}function i(t,e,n){\"function\"==typeof t?t(null):o.removeComponentAsRefFrom(e,t,n)}var o=n(365),a={};a.attachRefs=function(t,e){if(null!==e&&\"object\"==typeof e){var n=e.ref;null!=n&&r(n,t,e._owner)}},a.shouldUpdateRefs=function(t,e){var n=null,r=null;null!==t&&\"object\"==typeof 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- ],
- "text/plain": [
- "<IPython.core.display.HTML object>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The autoreload extension is already loaded. To reload it, use:\n",
+ " %reload_ext autoreload\n"
+ ]
}
],
"source": [
@@ -62,10 +28,21 @@
"import shap\n",
"#shap.initjs()\n",
"\n",
- "import experiments.shap\n",
- "from models.neural_network import NeuralNetwork"
+ "import experiments.our_shap\n",
+ "import experiments.shap_plots\n",
+ "from models.neural_network import NeuralNetwork\n",
+ "\n",
+ "%load_ext autoreload\n",
+ "%autoreload 2"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
{
"cell_type": "markdown",
"metadata": {},
@@ -76,7 +53,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -100,22 +77,74 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 28,
"metadata": {},
"outputs": [
+ {
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n.childContextTypes?u(\"107\",this.getName()||\"ReactCompositeComponent\"):void 0;for(var i in e)i in n.childContextTypes?void 0:u(\"108\",this.getName()||\"ReactCompositeComponent\",i);return c({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?v.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o?u(\"136\",this.getName()||\"ReactCompositeComponent\"):void 0;var a,c=!1;this._context===i?a=o.context:(a=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,a);var f=this._processPendingState(l,a),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,a):this._compositeType===_.PureClass&&(p=!m(s,l)||!m(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,a,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=a)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=c({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var u=r[a];c(o,\"function\"==typeof u?u.call(n,o,t,e):u)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(y(r,i))v.receiveComponent(n,i,t,this._processChildContext(e));else{var a=v.getHostNode(n);v.unmountComponent(n,!1);var u=d.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==d.EMPTY);this._renderedComponent=c;var s=v.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){l.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t,e=this._instance;return t=e.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==_.StatelessFunctional){f.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{f.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||t===!1||s.isValidElement(t)?void 0:u(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n?u(\"110\"):void 0;var r=e.getPublicInstance(),i=n.refs===g?n.refs={}:n.refs;i[t]=r},detachRef:function(t){var e=this.getPublicInstance().refs;delete e[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===_.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=x},function(t,e,n){\"use strict\";var r=n(4),i=n(358),o=n(163),a=n(24),u=n(11),c=n(371),s=n(387),l=n(167),f=n(395);n(1);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&(G[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML?v(\"137\",t._tag,t._currentElement._owner?\" Check the render method of \"+t._currentElement._owner.getName()+\".\":\"\"):void 0),null!=e.dangerouslySetInnerHTML&&(null!=e.children?v(\"60\"):void 0,\"object\"==typeof e.dangerouslySetInnerHTML&&V in e.dangerouslySetInnerHTML?void 0:v(\"61\")),null!=e.style&&\"object\"!=typeof e.style?v(\"62\",r(t)):void 0)}function o(t,e,n,r){if(!(r instanceof I)){var i=t._hostContainerInfo,o=i._node&&i._node.nodeType===H,u=o?i._node:i._ownerDocument;F(e,u),r.getReactMountReady().enqueue(a,{inst:t,registrationName:e,listener:n})}}function a(){var t=this;C.putListener(t.inst,t.registrationName,t.listener)}function u(){var t=this;S.postMountWrapper(t)}function c(){var t=this;A.postMountWrapper(t)}function s(){var t=this;P.postMountWrapper(t)}function l(){var t=this;t._rootNodeID?void 0:v(\"63\");var e=U(t);switch(e?void 0:v(\"64\"),t._tag){case\"iframe\":case\"object\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"video\":case\"audio\":t._wrapperState.listeners=[];for(var n in q)q.hasOwnProperty(n)&&t._wrapperState.listeners.push(k.trapBubbledEvent(n,q[n],e));break;case\"source\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e),k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topReset\",\"reset\",e),k.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function f(){N.postUpdateWrapper(this)}function p(t){Z.call(X,t)||($.test(t)?void 0:v(\"65\",t),X[t]=!0)}function h(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function d(t){var e=t.type;p(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var v=n(2),g=n(3),m=n(332),y=n(334),_=n(20),b=n(82),x=n(21),w=n(156),C=n(22),M=n(83),k=n(51),E=n(157),T=n(4),S=n(351),P=n(352),N=n(158),A=n(355),O=(n(9),n(364)),I=n(369),D=(n(8),n(54)),R=(n(0),n(94),n(80),n(96),n(1),E),L=C.deleteListener,U=T.getNodeFromInstance,F=k.listenTo,j=M.registrationNameModules,B={string:!0,number:!0},W=\"style\",V=\"__html\",z={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},H=11,q={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},Y={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},K={listing:!0,pre:!0,textarea:!0},G=g({menuitem:!0},Y),$=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,X={},Z={}.hasOwnProperty,Q=1;d.displayName=\"ReactDOMComponent\",d.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=Q++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(l,this);break;case\"input\":S.mountWrapper(this,o,e),o=S.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"option\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o);break;case\"select\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o),t.getReactMountReady().enqueue(l,this)}i(this,o);var a,f;null!=e?(a=e._namespaceURI,f=e._tag):n._tag&&(a=n._namespaceURI,f=n._tag),(null==a||a===b.svg&&\"foreignobject\"===f)&&(a=b.html),a===b.html&&(\"svg\"===this._tag?a=b.svg:\"math\"===this._tag&&(a=b.mathml)),this._namespaceURI=a;var p;if(t.useCreateElement){var h,d=n._ownerDocument;if(a===b.html)if(\"script\"===this._tag){var v=d.createElement(\"div\"),g=this._currentElement.type;v.innerHTML=\"<\"+g+\"></\"+g+\">\",h=v.removeChild(v.firstChild)}else h=o.is?d.createElement(this._currentElement.type,o.is):d.createElement(this._currentElement.type);else h=d.createElementNS(a,this._currentElement.type);T.precacheNode(this,h),this._flags|=R.hasCachedChildNodes,this._hostParent||w.setAttributeForRoot(h),this._updateDOMProperties(null,o,t);var y=_(h);this._createInitialChildren(t,o,r,y),p=y}else{var x=this._createOpenTagMarkupAndPutListeners(t,o),C=this._createContentMarkup(t,o,r);p=!C&&Y[this._tag]?x+\"/>\":x+\">\"+C+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return p},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(j.hasOwnProperty(r))i&&o(this,r,i,t);else{r===W&&(i&&(i=this._previousStyleCopy=g({},e.style)),i=y.createMarkupForStyles(i,this));var a=null;null!=this._tag&&h(this._tag,e)?z.hasOwnProperty(r)||(a=w.createMarkupForCustomAttribute(r,i)):a=w.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+w.createMarkupForRoot()),n+=\" \"+w.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=D(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return K[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&_.queueHTML(r,i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&_.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)_.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=S.getHostProps(this,o),a=S.getHostProps(this,a);break;case\"option\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"select\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"textarea\":o=A.getHostProps(this,o),a=A.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":S.updateWrapper(this);break;case\"textarea\":A.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(f,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(r===W){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else j.hasOwnProperty(r)?t[r]&&L(this,r):h(this._tag,t)?z.hasOwnProperty(r)||w.deleteValueForAttribute(U(this),r):(x.properties[r]||x.isCustomAttribute(r))&&w.deleteValueForProperty(U(this),r);for(r in e){var c=e[r],s=r===W?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(r===W)if(c?c=this._previousStyleCopy=g({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(j.hasOwnProperty(r))c?o(this,r,c,n):s&&L(this,r);else if(h(this._tag,e))z.hasOwnProperty(r)||w.setValueForAttribute(U(this),r,c);else if(x.properties[r]||x.isCustomAttribute(r)){var l=U(this);null!=c?w.setValueForProperty(l,r,c):w.deleteValueForProperty(l,r)}}a&&y.setValueForStyles(U(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=B[typeof t.children]?t.children:null,o=B[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return U(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"html\":case\"head\":case\"body\":v(\"66\",this._tag)}this.unmountChildren(t),T.uncacheNode(this),C.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return U(this)}},g(d.prototype,d.Mixin,O.Mixin),t.exports=d},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(96),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" \";if(t.useCreateElement){var c=n._ownerDocument,s=c.createComment(u);return o.precacheNode(this,s),i(s)}return t.renderToStaticMarkup?\"\":\"<!--\"+u+\"-->\"},receiveComponent:function(){},getHostNode:function(){return o.getNodeFromInstance(this)},unmountComponent:function(){o.uncacheNode(this)}}),t.exports=a},function(t,e,n){\"use strict\";var r={useCreateElement:!0,useFiber:!1};t.exports=r},function(t,e,n){\"use strict\";var r=n(81),i=n(4),o={dangerouslyProcessChildrenUpdates:function(t,e){var n=i.getNodeFromInstance(t);r.processUpdates(n,e)}};t.exports=o},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&f.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=c.executeOnChange(e,t);l.asap(r,this);var i=e.name;if(\"radio\"===e.type&&null!=i){for(var a=s.getNodeFromInstance(this),u=a;u.parentNode;)u=u.parentNode;for(var f=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<f.length;p++){var h=f[p];if(h!==a&&h.form===a.form){var d=s.getInstanceFromNode(h);d?void 0:o(\"90\"),l.asap(r,d)}}}return n}var o=n(2),a=n(3),u=n(156),c=n(85),s=n(4),l=n(11),f=(n(0),n(1),{getHostProps:function(t,e){var n=c.getValue(e),r=c.getChecked(e),i=a({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange});return i},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&u.setValueForProperty(s.getNodeFromInstance(t),\"checked\",n||!1);var r=s.getNodeFromInstance(t),i=c.getValue(e);if(null!=i){var o=\"\"+i;o!==r.value&&(r.value=o)}else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=s.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=f},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(158),c=(n(1),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){var n=a.getNodeFromInstance(t);n.setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length,a=o+r;return{start:o,end:a}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(392),l=n(168),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(2),i=n(3),o=n(81),a=n(20),u=n(4),c=n(54),s=(n(0),n(96),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \",s=\" /react-text \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var l=n._ownerDocument,f=l.createComment(o),p=l.createComment(s),h=a(l.createDocumentFragment());return a.queueChild(h,a(f)),this._stringText&&a.queueChild(h,a(l.createTextNode(this._stringText))),a.queueChild(h,a(p)),u.precacheNode(this,f),this._closingComment=p,h}var d=c(this._stringText);return t.renderToStaticMarkup?d:\"<!--\"+o+\"-->\"+d+\"<!--\"+s+\"-->\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n?r(\"67\",this._domID):void 0,8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(2),a=n(3),u=n(85),c=n(4),s=n(11),l=(n(0),n(1),{getHostProps:function(t,e){null!=e.dangerouslySetInnerHTML?o(\"91\"):void 0;var n=a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange});return n},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a?o(\"92\"):void 0,Array.isArray(c)&&(c.length<=1?void 0:o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;\n",
+ "n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t?void 0:c(\"33\"),\"_hostNode\"in e?void 0:c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in t?void 0:c(\"35\"),\"_hostNode\"in e?void 0:c(\"35\");for(;e;){if(e===t)return!0;e=e._hostParent}return!1}function o(t){return\"_hostNode\"in t?void 0:c(\"36\"),t._hostParent}function a(t,e,n){for(var r=[];t;)r.push(t),t=t._hostParent;var i;for(i=r.length;i-- >0;)e(r[i],\"captured\",n);for(i=0;i<r.length;i++)e(r[i],\"bubbled\",n)}function u(t,e,n,i,o){for(var a=t&&e?r(t,e):null,u=[];t&&t!==a;)u.push(t),t=t._hostParent;for(var c=[];e&&e!==a;)c.push(e),e=e._hostParent;var s;for(s=0;s<u.length;s++)n(u[s],\"bubbled\",i);for(s=c.length;s-- 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r(){C||(C=!0,y.EventEmitter.injectReactEventListener(m),y.EventPluginHub.injectEventPluginOrder(u),y.EventPluginUtils.injectComponentTree(p),y.EventPluginUtils.injectTreeTraversal(d),y.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),y.HostComponent.injectGenericComponentClass(f),y.HostComponent.injectTextComponentClass(v),y.DOMProperty.injectDOMPropertyConfig(i),y.DOMProperty.injectDOMPropertyConfig(s),y.DOMProperty.injectDOMPropertyConfig(b),y.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),y.Updates.injectReconcileTransaction(_),y.Updates.injectBatchingStrategy(g),y.Component.injectEnvironment(l))}var i=n(331),o=n(333),a=n(335),u=n(337),c=n(338),s=n(341),l=n(343),f=n(346),p=n(4),h=n(348),d=n(356),v=n(354),g=n(357),m=n(361),y=n(362),_=n(367),b=n(372),x=n(373),w=n(374),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof 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v={_enabled:!0,_handleTopLevel:null,WINDOW_HANDLE:s.canUseDOM?window:null,setHandleTopLevel:function(t){v._handleTopLevel=t},setEnabled:function(t){v._enabled=!!t},isEnabled:function(){return v._enabled},trapBubbledEvent:function(t,e,n){return n?c.listen(n,e,v.dispatchEvent.bind(null,t)):null},trapCapturedEvent:function(t,e,n){return n?c.capture(n,e,v.dispatchEvent.bind(null,t)):null},monitorScrollValue:function(t){var e=a.bind(null,t);c.listen(window,\"scroll\",e)},dispatchEvent:function(t,e){if(v._enabled){var n=i.getPooled(t,e);try{p.batchedUpdates(o,n)}finally{i.release(n)}}}};t.exports=v},function(t,e,n){\"use strict\";var r=n(21),i=n(22),o=n(50),a=n(86),u=n(159),c=n(51),s=n(161),l=n(11),f={Component:a.injection,DOMProperty:r.injection,EmptyComponent:u.injection,EventPluginHub:i.injection,EventPluginUtils:o.injection,EventEmitter:c.injection,HostComponent:s.injection,Updates:l.injection};t.exports=f},function(t,e,n){\"use strict\";var r=n(385),i=/\\/?>/,o=/^<\\!\\-\\-/,a={CHECKSUM_ATTR_NAME:\"data-react-checksum\",addChecksumToMarkup:function(t){var e=r(t);return o.test(t)?t:t.replace(i,\" \"+a.CHECKSUM_ATTR_NAME+'=\"'+e+'\"$&')},canReuseMarkup:function(t,e){var n=e.getAttribute(a.CHECKSUM_ATTR_NAME);n=n&&parseInt(n,10);var i=r(t);return i===n}};t.exports=a},function(t,e,n){\"use strict\";function r(t,e,n){return{type:\"INSERT_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:n,afterNode:e}}function i(t,e,n){return{type:\"MOVE_EXISTING\",content:null,fromIndex:t._mountIndex,fromNode:p.getHostNode(t),toIndex:n,afterNode:e}}function o(t,e){return{type:\"REMOVE_NODE\",content:null,fromIndex:t._mountIndex,fromNode:e,toIndex:null,afterNode:null}}function a(t){return{type:\"SET_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function u(t){return{type:\"TEXT_CONTENT\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function c(t,e){return e&&(t=t||[],t.push(e)),t}function s(t,e){f.processChildrenUpdates(t,e)}var l=n(2),f=n(86),p=(n(40),n(9),n(15),n(24)),h=n(342),d=(n(8),n(388)),v=(n(0),{Mixin:{_reconcilerInstantiateChildren:function(t,e,n){return h.instantiateChildren(t,e,n)},_reconcilerUpdateChildren:function(t,e,n,r,i,o){var a,u=0;return a=d(e,u),h.updateChildren(t,a,n,r,i,this,this._hostContainerInfo,o,u),a},mountChildren:function(t,e,n){var r=this._reconcilerInstantiateChildren(t,e,n);this._renderedChildren=r;var i=[],o=0;for(var a in r)if(r.hasOwnProperty(a)){var u=r[a],c=0,s=p.mountComponent(u,e,this,this._hostContainerInfo,n,c);u._mountIndex=o++,i.push(s)}return i},updateTextContent:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[u(t)];s(this,r)},updateMarkup:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[a(t)];s(this,r)},updateChildren:function(t,e,n){this._updateChildren(t,e,n)},_updateChildren:function(t,e,n){var r=this._renderedChildren,i={},o=[],a=this._reconcilerUpdateChildren(r,t,o,i,e,n);if(a||r){var u,l=null,f=0,h=0,d=0,v=null;for(u in a)if(a.hasOwnProperty(u)){var g=r&&r[u],m=a[u];g===m?(l=c(l,this.moveChild(g,v,f,h)),h=Math.max(g._mountIndex,h),g._mountIndex=f):(g&&(h=Math.max(g._mountIndex,h)),l=c(l,this._mountChildAtIndex(m,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(m)}for(u in i)i.hasOwnProperty(u)&&(l=c(l,this._unmountChild(r[u],i[u])));l&&s(this,l),this._renderedChildren=a}},unmountChildren:function(t){var e=this._renderedChildren;h.unmountChildren(e,t),this._renderedChildren=null},moveChild:function(t,e,n,r){if(t._mountIndex<r)return i(t,e,n)},createChild:function(t,e,n){return r(n,e,t._mountIndex)},removeChild:function(t,e){return o(t,e)},_mountChildAtIndex:function(t,e,n,r,i,o){return t._mountIndex=r,this.createChild(t,n,e)},_unmountChild:function(t,e){var n=this.removeChild(t,e);return t._mountIndex=null,n}}});t.exports=v},function(t,e,n){\"use strict\";function r(t){return!(!t||\"function\"!=typeof t.attachRef||\"function\"!=typeof t.detachRef)}var i=n(2),o=(n(0),{addComponentAsRefTo:function(t,e,n){r(n)?void 0:i(\"119\"),n.attachRef(e,t)},removeComponentAsRefFrom:function(t,e,n){r(n)?void 0:i(\"120\");var o=n.getPublicInstance();o&&o.refs[e]===t.getPublicInstance()&&n.detachRef(e)}});t.exports=o},function(t,e,n){\"use strict\";var r=\"SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED\";t.exports=r},function(t,e,n){\"use strict\";function r(t){this.reinitializeTransaction(),this.renderToStaticMarkup=!1,this.reactMountReady=o.getPooled(null),this.useCreateElement=t}var i=n(3),o=n(155),a=n(17),u=n(51),c=n(162),s=(n(9),n(53)),l=n(88),f={initialize:c.getSelectionInformation,close:c.restoreSelection},p={initialize:function(){var t=u.isEnabled();return u.setEnabled(!1),t},close:function(t){u.setEnabled(t)}},h={initialize:function(){this.reactMountReady.reset()},close:function(){this.reactMountReady.notifyAll()}},d=[f,p,h],v={getTransactionWrappers:function(){return d},getReactMountReady:function(){return this.reactMountReady},getUpdateQueue:function(){return l},checkpoint:function(){return this.reactMountReady.checkpoint()},rollback:function(t){this.reactMountReady.rollback(t)},destructor:function(){o.release(this.reactMountReady),this.reactMountReady=null}};i(r.prototype,s,v),a.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){\"function\"==typeof t?t(e.getPublicInstance()):o.addComponentAsRefTo(e,t,n)}function i(t,e,n){\"function\"==typeof t?t(null):o.removeComponentAsRefFrom(e,t,n)}var o=n(365),a={};a.attachRefs=function(t,e){if(null!==e&&\"object\"==typeof e){var n=e.ref;null!=n&&r(n,t,e._owner)}},a.shouldUpdateRefs=function(t,e){var n=null,r=null;null!==t&&\"object\"==typeof 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+ "Regressors in active set degenerate. Dropping a regressor, after 13 iterations, i.e. alpha=2.731e-03, with an active set of 13 regressors, and the smallest cholesky pivot element being 2.220e-16. Reduce max_iter or increase eps parameters.\n",
+ "Regressors in active set degenerate. Dropping a regressor, after 41 iterations, i.e. alpha=1.508e-04, with an active set of 23 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
+ "Regressors in active set degenerate. Dropping a regressor, after 42 iterations, i.e. alpha=4.084e-05, with an active set of 24 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n",
+ "Regressors in active set degenerate. Dropping a regressor, after 43 iterations, i.e. alpha=1.370e-05, with an active set of 25 regressors, and the smallest cholesky pivot element being 1.490e-08. Reduce max_iter or increase eps parameters.\n"
+ ]
}
],
"source": [
@@ -123,12 +152,12 @@
"model_folder = 'egu_pruned_nn'\n",
"\n",
"# run shap calculation\n",
- "dictionary = experiments.shap.shap_nn(\n",
+ "dictionary, nn, explainer = experiments.our_shap.shap_nn(\n",
" folder=model_folder,\n",
" data='stations',\n",
- " #n_indices_train=50, # set this None if all train data shall be used\n",
- " #n_indices_test=50, # set this if all test data shall be used\n",
- " #n_samples_explainer=50, # standard value is 100\n",
+ " n_indices_train=50, # set this None if all train data shall be used\n",
+ " n_indices_test=50, # set this if all test data shall be used\n",
+ " n_samples_explainer=50, # standard value is 100\n",
")\n",
"\n",
"shap_values = dictionary['shap_values']\n",
@@ -145,14 +174,14 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 5,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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U+6YvYNVubSh26P7fql7PYV1gwYWNn0eqVBvSgkPwp9YYgn+tXXeJ6ip4pZRSMdE1EUyvqvfQQ4boW5JSdetYq+B1CF4ppVRMWJbF16cG+Pfrv5PsD3PvQWNjHZJSqpVoAqqUUipm0uItDu/qflGAr75vq1JKdSiagCqllFJKtXkd6wOaTrhRSimllFKtShNQpZRSSinVqnQIXimllFKqjXNqDMG39wF57QFVSimllFKtSntAlVJKxUyk3KbkDweffimQUp2KJqBKKaVi5vMLfyL3RxsACfyJuXS7GEeklGoNOgSvlFIqJko3lbHqx+zK+4s+WRnDaJRSrUkTUKWUUjHhTw4Sia8aiCv0BWMYjVKqNekQvFJKqZgoL7VZ2bcX6ZvysX0+nN7dYh2SUm1Ye1/3Xp0moGqLjDGZwOvA7sAiEenQX9hsjHGAcSLyfaxjUR2fnVOEPWct/u17Y2Um1X/w+lyYtwrGDIL05NYIr0UF4yxCwQB/DOlLXMRmKHaLtldS5vDnihD9uvnpkeGv9ZjysMMvq2z6plkM7tJyg4Sz1kQoC8Mu/WuPoyFWFzos2gQ794SUuI6VnKiOTxNQ1RAXAilAVxEJt2bDxphBwFKgv4hscYKYMeYw4F/AaMAPzAauFZHvoo5xgBKo9m7XV0TymjF0pbbIXppD0R6P4qwrwOqVSvK0S/ANzKz94DnLYdz1sKkQBvWAn++CHhmtGm9zcxz4dGhf5nZLB8fh+IKcFmursMRmwv2bWLwmQmKcxROXZDBmSPUh//Kww/4Ty/lhuU3QD++dHMcR2zY9QazLnVPKuPbzMgAu3D3IE8clNrqO6Wsc9n8rQmEIRmTCT6f6yUjQJFS1H5qAqoYYAvzZlOTTGBMUkVALxFSXLsAjwDdAIXA+MMkYs52IrIg67mDt4VTNITwvm5IXZuIfmEHihQbLV73XLPL2r9i/LMN3xPb4/1wCS9fBWfvByP6EXp6Bs64AAGdtAaF3ZhF35b6Env8Fe342wdN2xj+mj7v/wU+xNhW6lWath48Fzj2wWlv2nNXYL03DGtIN3wXjsCyLsplrKXr9T4LbdSX17NENPq/S+ZvY8NQcwos2kbJDBl0uH4u/exJ2yGbNo3MIrS+l14UjSBiY2uTnrtDxuckngGUxs3cdyTcQCjl8PKWQgiKbw8cn0y2z7rev338rYt7cEkaOSmSHMcn8sdbm/knFLF4TAaCk3OHNb4v5abafpASL7UfEc9/35SzOtfhljQOOQ8ix+OfnIX5dbXPZHgFm58AHC21Gd4e1RRabyhz+saOPvqkWoYjDI9MjZBfDhTv7iQ/AoxIhNc7iLz0j/PRbKYP6BPjLHm4P98M/lFfG+uS0EBkZAcKOxU69LE4dVZXwfrPc5rMlDnv2tTh2WNXf1fcrHS7+2k0+AeZthK+WOQR9Dt+vtHEAPxanj/IxukfdSanjODz7u8PCjQ5nbO9jh3qOVbHX0S5Erwmoqpcx5mPgL972ycD9wBTgHmAEsAZ4UESe8o4ZD0wGzgZuAboDqcaYAcADwN6AA3wM/FNECowxFnC7VyYVyAHuF5FHgN+9UOZ7PZd3i8htdcUrIq/WeOgJY8xNwC7AilqKbOn8uwMfAnNxe4KvB8YBApyDu5DvP8C7wAteOwuA00Xkz8a2p9oXe1MJOeOex9lQDEBkbSGpt+5fuT/81q+ETnrevfPgFOIj6/ARhue+hvmP4vv8l2r1+bbpRvkD31L2r08AKH9qGil/XoUV7yfyxozq/7C36V2trJNdQHif+2FjkftAdiHOhL1Zu89rOIVuwuPkl5F22S5bPK9wbhkLxn1AOLsEgMKPF1P82RIGzDyLpVdMY81jc90mXlvM2Pkn4Eto2ltJSsAhNRyiIOD2RGYWlQK1XxD0iVc38eX37vP83fRinrytF4HA5m/Bc+cU89/71+A48MWkXM6/og+HfQalhQ7bUvWm/cPsMqaUOADkxRUzLzkJLKeqIsdhQXaEm6bYTFoY4deiAOWRyp0AvDU/wrxz/Fz2ZZgnZrgDKq/NjpAYtJi/0T3yoZIyts12fyclpQ7H7pfMsG4+1hZ4lfkt7vrJBsuNrDwCE0b7mbHW4aC3bSIOIA4fHANHb+NjdrbDAW9HKC+3we+rjHXGGpu7BbAdLzyHp3+3mXdegF4ptacq90yzuWaqG/czv9vMuyBAz+T2ntao9kJXwat6iciRwKvAiyKSAkwEPgeeALoCE4A7jTEnRhXzA4cBOwE9jTEJuEnrXGAwMBLoB/zXO/4g4CxgNxFJBXYFKnonx3g/txWRlPqSz9oYY3YAugF/1Nj1tjFmgzHmZ2PMcXWUHQ78CHwmIudF9QDvAywEegGnA/cCzwH/ADKBP4GHGxNnUxUUFOh2DLfzZ62sTD4BQtNWVjvGnra0ch8RBxtvyDengKLfFhFYvox4NhCgiAQ2EDxgKGXfL6kqk1+K/ed6nIXrcIogQhI2QUIjt4F9R1Vry1m4vir5BMq/X0hozobK5BOgbNrqBp3Xpj/WVCafABH8lP+2nvwNuRRMW19V3/JCylcXN/k5jJREuPaTn3nzgXd56ZEPOfPnOXUeP29J1XmszY6QV2jXWueSxaU4Xh7pOPDzb/nklkJpwE9WcgL5fh+5FpSWVCWb8SGnMgGszcw1dlTyWWVxLmRlFzJtVVVdy/OpTD4BcoNVyfncpSEKCgp449REdunnI2DbBKne9rRVDgUFBcg6x00+Kx5f7T4+c73jxhJyoCwCIRtKI8zL9mYURZXJK4M/c5xan8+KOivjLIVfVxRtdoxuN25bNZwmoKqxTgF+FZGJIhIWkWnAU8B5NY67WkTyRKQYOAKwRORGESkRkU3ADcBpxhg/UI7b7THKGJMgIutFZObWBmqM6YHbM3mfiCyM2nUgbiLcD7dX9lVjzF9qFN8H+Ba4WURur7FvgYg8KyIREZmE22P7hYj86U03eA0wWxt/Q6Smpup2DLfTdxmIf9uqldsJx46odoz/yB0g4P2bTQriw0uihvUmebcR0C2DePJJYh1BinAWrifxhB0r67MGZOAf2w9r+76wTU9sEomQhv/yIzaLx9qhLwztXvl43ImGuF164+/nxWtB0jHDG3ReXcf2JX5ERuX9IGGSDh1MWrcMuh47sPLxlLHdiB+Q0uTnMD4O9p65hH45BQxdu4md5qyq8/g9dq6aJzliaBxd0ny11rnD6GSCQTehi4uzOGRcBoO7uPfz4gKsCQYoivMzvH9VYhhK8lGZtdbisOF+unrNR6epe/aBIT1SOHbbqrdS09ti3wFVR/WPuOPklgV77xhPamoqfdJ9bFhbTnIoQkJpGMt2k0efBUcNc8/rgAEWaXFuHUEfHDHUfXzf/haZCUDAgnI3+ewW53D2mABBX/UAB6bBTj2tOp//Y6KG9Qelw56Dkjc7Rrcbt92yrBq39k2H4FVj9cddFBRtMXB01H2b6sPdg4EBxpjcGuUcoJeITDXGXIs7vP2WMWYa7sIhaWqQxpg+wFfAl8D/Re8Tka+j7r5pjDkQOA23Z7fCpbgLmN6spfo1Ne4X13isGHcqgergrKQ4uv54LqUfzcc/MIP4/QZX2+/fbzjxv1yFPXMlvv2G4Vu21p0DetSukJKIM3obnN8rkq4AVm4xwdN2xhrYBXthNoHDtsPKcDOfwE/X4Hw8CwZ3wzd+281jSU0gOO1q7I9nuXNA9x0OQO/pZ1Hy2WKCI7qSsGe/Bp2XLynItj8eR+4HS7GX55E4LI2UE9w2+1+3E8k7dyO0voSuxw3CCjS9H8Mpd/CFq9YCxpXXPV38jGPS2XZwHAVFNnuNTcTnq/0NeOCgeG66vT+LF5YybHgCvfvEMe1vDp/Oj5DgcwiV+jADAwzt7mfKr6UkJ1iMGBLHizPKySm12G9ogNX5Ntt0tVhd4CaFx430s7IAvl7uMKa7xZoih42lcMJwC59lccO4AKa3xfoiOH47HwEfvPOnTWqcxV49k5k+J8CAXgFGDXUzStt2KCpzE16f7dC3uIRbTkpjh+4Wu/Rxn89tulj8eqafb1c4mF4Wo7u75zsgzWLGGX6mLPcRh5/ykMOBQ3wMyPAhZ1jIWodEP5SG4fChVr0Lk84a7WNIF1i0yT02XRcxqVakCahqrBW4w+vRhlA94XREJLo7YRlur+GouioVkaeBp40xScDNwHvAAGj8dVm8lfNfA++LyL8aUMRm84+TE4CrgXeNMX8VkbLGxqE6B19mEkkTdqp7/0798e3U370zuBuM375yn3XNETiT58KaXDh2LOzrJnmBvQfD3tWTWatbKtbZe9Ubi9UtBf/Ze1Z7LNArhdRzxtRRom6BLgl0O7v2r8XMPLR/o+urjQ0UJsaRUlKOAxQmxdd7/K5jGrZavG/fOPr2jau83yPF4uyxFW93VSvfD92tqr6rxkfPPd185fvAdDhnh4p/E5snaoduU73M6TtU3T90r+qX1/L5LG49Oon/e68Yvw/uPTaJk8ds3ubQDIuhGZu3NSjdioqlyujuVYlqQ43r72Nc8/w6lWoUTUBVY70O3GCMORN3qHln4G/ARfWU+QT4j9fL+Qju6vQ+wK4i8r4xZlcgHvgFKAMKgIoZV9m471PDgIZchmkE7iKoiSJyfS37tweSgN9we2APB84ATq5xaCFwKO4Q/qfGmKNFpAilmpE1si8sux9yi7G6p8U6nFbni/cRdgLke72ZgXDn6YH72z6JnLJrPD7LIiW+85y32hod6+9E54CqRhGRpbg9oBfjzn18GbhBRN6qp0wxsD/u4qN5QB5uD+WO3iEpuAuSNnh1Hgyc5JUtwZ0v+roxJtcYc90WQrwa6AtcbowpjLqd5u3vjrtafROwHnfY/xwR+aiWuEuBY7yYvjLGZGyhbaUazQoGOmXyCWAXhvGFvBXgloW/Za9D3+akJfg0+VSdluXUM/FaKdXm6QtYtVvhsgifdX+TuGL3AhPhERkcMfuoGEel1FZpsU8UtnV2tf/3PueFdv3pRYfglVJKxUS4NMKKwV1I31hCxG/hH9Yl1iEp1WbVvBB9e6cJqGpXjDHjgEl17L5DRO5ozXiUUk2XkB7HyJMGMPvdlWA5HHD2kFiHpJRqJZqAqnbF+073lFjHoZRqHvtdO4qNPZfgi4ORR/WNdThKqVaiCahSSqmYiusR6wiUag861hC8roJXSimllFKtShNQpZRSSinVqnQIXimllFKqjeto19zTBFQppVTMTF/jcOuKsST5QuxS5NAruWPNc1NK1U6H4JVSSsVEecRh/JsRpLgH/yvsy5HvRbZcSCnVIWgPqFJKqZhYU+jgfQkSADPXxy4Wpdq+jjU6oD2gSimlYsKu8VXQdkeb5KaUqpMmoEoppWKiRv7Z4RZZKKXqpgkoYIyZaIx5Nur+HGPMSa0cwzhjTG5rtqkaxhgz2Rhzc6zjUKqj8dV4B+pYA4xKNS8Hq9qtvdM5oLUQkVEtWb+XzOwtIgdGtfkdkNGS7SqlVJuiPaBKdVraA6raNWNMsDO3327YNtz3AZz+EHwisY5GtRVWvXe36LGZNid9HOHwd8OcPSnC3A1uCru2yOHvX0X425cR/si2uXxKhHM/j7Bgo6a4SrUVnaoH1BiTAtwMHAd0B1YAf6vluCzgehF5xRgzHpgMnAncBvQC3gUuBu4HTgDygStE5D2v/BjgYWAU4AemAReLyGJvaP9awGeMKfSaHA0MACaLSMCrwwLOBy4BBgJ5wN0i8mg953clcGvUQ34gAegiIrnGmH2Be4ARwBrgQRF5yitbcZ6nAXcA3YAvgHNFpMA7pqtX/mCv3m+AS0RkXV0xeeVmAXeJyGvGmERgE/CWiJzp7f8MmCoi9xhjTgb+DxgMFAEfAVeKSJF3bBbwPLAfsAtwnjHmQuBXr8yBwHrgAtz3s4e85/Zr4MyKc6knVgu4BvgHkAS8SNT7YtTzdDZwC9DdGPNv4EIRGRN13FBgPjBURJbV1+ZWcxy45Fl47TvYaTC8cxV0SWnRJgF49DO45S3o3QXe/Cds16/6/v+8Aw9+DF1TYXk2lIbcx9/4HrYfACs2wIWHuOXrq6dCSRmc+iB8Oxf+shNcf4J7f9VGuPZ4uOJIKC6Dk++H7+fB4WPhhYsh4G/Z50E12PJ8hxM+irAkDy7f2cdpI6vvb2h6GLEd9nszwnerqpd+aW6EwemQ4Ic5Oe6jz8xyKut9cU6Enklw1iiLiXMcbAciDqQGYWgXmLEO9u1n8drhPhKD7ss+v8zhxI9tpq91OGG4xZMH+fBZW06VL/06wit/OuzY3eKdo3xkJrb/IVMVax3rb6iz9YA+B+wGHACkAUfhJmJb4gfGAzsA2wF/wU0qPwC6AncCzxtjkrzjHdxEty8wCCgEXgEQkTdxE7ypIpLi3ZbU0uaFXh0X4Q7N7wT8XF+QIvJARZ1emanA+0CeMWYw8DnwhBfzBOBOY8yJNc7zYGAMMNxr81KoTMw+8M5te9ykuAB4rb6YPJNxE0OAfXAT/wO8euO8xyZ7+/OAU734x3m362vUdz5wJZAKfOg9dgZwl1fuTeBl3CR0H9zfwbYV57IFpwNXAEfjftjY4NURzQ8chvv89AReBYYaY3aJOuZc3A8ULZt8AnwxEx6bBJsKYcofcPf7Ld4kqzfCpc/Bhnz4Yxlc8Xz1/XNXwPWvQU4BLFhdlXwCRGz4PQs2FsId79ZfT7Snv4IPfnHP8/Xv3OTz9yy37D8nwrL18Pgk+FjcY1751k12VZtx7Xc209dCTgnc8IPN/Jym9Ui+u8CpkXy6bAcW51Yln1A9qY04sLoI7vzFYU0RrCuGDSWwNB8mL4NNpfDBIoenZlWVekBsvsxy2FTqJrMfLdpyzF9m2Twy0y3zzQqHu36xm3SeSnVknSYBNcb0AP6K21O1VEQcEVkkIosaWMV1IlIsIstxE7ulIvKpiNjAS0A6MAxARGaJyDciUiYiebg9ZbtHJagNcQnwHxH5XkRsEdkgItMbUf5JL6bTRMQBTgF+FZGJIhIWkWnAU8B5NcpdIyKFXq/mB4DxHh/r3f4hInkiUgz8G9jfGFNHl1WlyXgJJ24i+jJQaIwZBewBlAIzAURkkojM8c55EfB4VNkKz4jITO93WOI99paI/CwiEdxkvzdwr4hsFJGNwCdR51KfM4GnRGSGiJTjfrhYW8txV1c8DyKSD7yBm3RijPEDZwHPNKC9rVJQUAChGhfvDoXdx6OPaebtwrz86kuYvRgqjwlFXdyxBsdX41N8ffXUU2ekLCqpdRwI25s9FyUFhZXbLf2c6PaWt0M18rDwZnlZ1d9CY+ppbhV/RrW1FbK3fL41X5JFUR/A2srvQrdbZls1XKdJQHF7wQAWNKFsRESyo+4XE9Vz6iVj4PbIYYwZaox5zxizyhiTD/zg7e/eyHibEivGmBtxew6PjErQ+gNLaxy62Hu8Qs3zLMI7J9zh7XhgnTEm11uxvxg3eRywhZC+BXobY4bjJqBf4SalB3n3p3hJMsaYg4wx3xljsr3n7m42f96yamkjuie7uI7HUtmyftH1ex8wavZi2ri9uNGeAk7xPmQchju95aMGtLdVUlNT3aHmU8a5S4p3GgxXHeM+Hn1MM2+nbDcIbjsFggHomwn3nln9mDGD4coj3eHvXhkQ5832SUvCevsqGNEX/D53CL6+eqK3/3YI7DPSPc9DdsT/4iUwoJvbxo1/haG94O9/gb1GuMccPpbEcw5u0edBtxu3fdtePrbJgIAPrhhrMbJrzSFFq86y0dt/3dbi6G0sLGDbLvDuURaX7myR4IeM+OpvbEkBt73kgHcLwgWjLRIDkBSEeK/M2B7gs2CffnDhjlZlW1eM9bFLL3ff8cMsjh1mbfF8Dx1icdp2Fj4LduwB1+8V36rPs27Hbrsl6Sr49ivL+zkMmNvCbT0JrAZGi0iOMWZ74A+q/rs25PN7Fm6sXzWmYWPMBODvwJ4iEjUQxQrcxCjaEDZPpOqyDDchzfSSsgYTkSJjzDTgZNzE+hfc4e3zgEzgBS/2ONxe138Dz4tIiTHmYuBfNapsyf6PVVR9WKmYejCwxjFORcJcQUSmG2MWAycCxwITRSREa/D54LUr4JXLNr+uTUu6/kR37mVdbd5/Ntx7VtX+SAT83nzM43Z3FyZV7KuvngqpifDt7dXLLXu6+v30ZPj+juqPqTZjeKbFwvMC2I6Dz7LI2lS9V7uhb6lBv8UHx/gr6wE4bjg8tJ+DZVm8u8Bm4myHEZnwn3E+gj6wvOMcxz3myYPcnxX3gWr1VeiWZPHL6YFa99XFZ1m8criflw5reBmlOptOk4CKyHpjzDvA416StgwY2kLNpQELgVxjTDeqLwwCd0h3gDEmzhvmrc1jwLXGmJm4cz8zgcH1DcMbYw7CXXRzUC3zSl8HbjDGnIk7b3Nn3AVYFzXwnAT4HXjYGHOTl1h3Bw4QkTcaUH4y8E/c3s6IMeYb3AU+ibgLnwDicHtZN3nJ50jcxV6t6WXgHmPM+7gfGv6Fmyw3xNO45zgCuKplwqtHLBKuLbUZvb8i+axtX2Nir3lsbWU1+WzTKpIytxen6SvTayZ3FYnk8cN9HD+89jIVx9T8WVt99bXVlPiU2jod6++ps/2XPgf4DXdIuAB3AUtDk4vGuAJ3CDwf+A53/mG0t3F7Htd6w9mDa6njcdz5h8959fyKu+q7PqcBKcA3xpjCqFu6iCzF7QG9GMjBTbRuEJG3GnJCXq/n0bivgBnGmALchVjjG1IeNwFNw+vRFZFcYB6woiJZFpFC3IT4Hu8KAY/RsEVOzekl4BHgY2Ad0AP4XwPLvoo7VeEHEVnYMuEp1XHpRZKU6jwsp+Z3oSmlmsQbrl+Cu2CttRJnfQGrdmvJpghDn6v+J+z8q9MMzKmOqcW6KcutC6u9WOKcJ9t1l6i+0pVqPqfhTiN4J9aBKNUe1Byhbtfvpkq1sI6w8CiaJqDtjDFmEu7w/ma863+2OmPMAOpe2PWKiFzYmvHUxxgzDphUx+47ROSOJtabDYSBc+qZ16uUilL3GnilVEenQ/BKtW/6AlbtVlnYIfXhSOW1NrfvBn9M0H4R1a612OeoMuuiav/v450n2vVnts62CEkppVQbER+w+OIEH8MTNrFz0no+Pta/5UJKqQ5BP2oqpZSKmf0G+Lhv4DQABqUfGeNolFKtRXtAlVJKKaVUq9IeUKWUUkqpNq6jrYLXHlCllFJKKdWqtAdUKaVU7Lw/jf0ufpdwUhwMHg3bD4x1REqpVqA9oEoppWKjpIzwKQ+RsjqfjEUbKDz7yVhHpFQbZtW4tW+agCqllIqJoqIwvrJyHNwL2uYu2xTrkJRSrUQTUKWUUjFh+ywcy6rszymz9DqgSnUWOgdUKaVUTNRc1Rtw7BhFolTbp6vglVJKqWYQsCP4o74O2rL1m2WV6iw6TAJqjJlojHk26v4cY8xJrRzDOGNMbmu2qVqHMeZJY8yjsY5DKQBWbICvZ0F+8eb7Sspgyh+weG3T67dt+G4u/L606XU0QFkgSGEwrvL+urSMFm2vodYUOny9zGZTaVVCnFvqPra6UJNkpZpDhx2CF5FRLVm/MeZmYG8ROTCqze+AjJZsV8WGiFzYkOOMMYOApUB/EVnZokGpzmnafDjwZigqgwHdQO6FD36BdZtgu/5w9UuweB34fXDdCTCkJyzLhh0Hw27bwI/zoU8mLM+GDQXu43tsC+Uh+OI36JoKN7zuJrEAf90TbjkZwhFYtBb2HQVdUprlVJJC5UifQey1bAEAC7r1ZpetqC9iO3yR5ZActNi3f9Vw5bTVDuuLHQ4ZZBEfqHo8bDt8sdQhNc5iH+/42dkOe78RIa8MkoNw0x6QEW/xr28d8sshKQC3721xzg4+0uPdMuuLHH5Y7TCqq8XwTPexORscFm5y2KefRWZixxo6VbHSsf6OOmwCqtoPY0xQREKxjkOpduGFKW7yCbB8A4y5EtbUsno8YsOtb1V/LCkOiss3P/a+s+CzX6uSzmhv/Qjv/uQuU7cdGNYbpt8D6clbfSrx4VBl8glw0MJZW1XfiR/bvL/Q7aG8bneL2/f288ivNpdOceeW7tMPpvzVj9/nvpEf96HNx4vd42/e08dNe/p4bZ5Nnvf0FoXg3/8D9+RdxWG4cqrDM7Mi/HK6n8IQjH05wupCiPfD5BP9FIYcjnzfJmzDkHSYcYafjISOlTwotbXaXQJqjEkBbgaOA7oDK4C/1XJcFnC9iLxijBkPTAbOBG4DegHvAhcD9wMnAPnAFSLynld+DPAwMArwA9OAi0VksTe0fy3gM8YUek2OBgYAk0Uk4NVhAecDlwADgTzgbhGpcyjXGHMlcGvUQ34gAegiIrnGmH2Be4ARwBrgQRF5yitbcZ6nAXcA3YAvgHNFpMA7pqtX/mCv3m+AS0RkXV0xeeVmAXeJyGvGmERgE/CWiJzp7f8MmCoi9xhjTgb+DxgMFAEfAVeKSJF3bBbwPLAfsAtwnjHmQuBXr8yBwHrgAtyPfA95z+3XwJkV51JPrDcD4wABzsGdavIf3N/5C16bC4DTReRPr0wScCfu31Ui8D1wqYgs9/ZPBMIicp73e70dOBtIBXKA+0XkEeB3L4z5xhgH9/d9W33xKtUo6UnV79eWfNaltuQT3KR2zoq6y0Wihp0XroFpC+CQnRrebh1yklJI8fuJj0Tc8ILxTa6rqNypTD4BXp7jcPve8PLcqoVN/1sJy/JhSIY7pF6RfIJ73E17+ti2i0V0wlmXPzeCrHVYXQSrvXeBsgi8Nd9NYMNes0vy4IdVDocP1QRUqWjtcQ7oc8BuwAFAGnAUbiK2JX5gPLADsB3wF9yk8gOgK27y8byXiID7H+hmoC8wCCgEXgEQkTdxE7ypIpLi3ZbU0uaFXh0X4Q7N7wT8XF+QIvJARZ1emanA+0CeMWYw8DnwhBfzBOBOY8yJNc7zYGAMMNxr81KoTIg/8M5te9ykuAB4rb6YPJNxE0OAfXAT/wO8euO8xyZ7+/OAU734x3m362vUdz5wJW4C96H32BnAXV65N4GXcZPQfXB/B9tWnEsD7AMsxP2wcTpwL+7fzj+ATOBP3A8YFR4EdvduA4ENwMfGmNquC3MQcBawm4ikArviJqzgPu8A23q/xxZNPgsKCnS7s21fdQxOQrDy8ejtJttxMHavjIYdmxAHw/s0y7mklRZXJp8AVtSCpMbWGSktZGjUKYzu7iZ822WEKx/rnujQ0/sPb5UXMjBt8+OPG1hE7wZ07iYFYJsuFgMTivFH5Zaju1uVdYHbK9o3vmqubsz/fnS7RbdbkoNV7dbetaseUGNMD+CvwPYiUjE7fpG3ryFVXCcixcByY8xUIFlEPvXKv4Sb2A0DfheR6LGgMmPMLcAfxpgkr46GuAT4j4hUJCcbvFtDPQmkA8eJiGOMOQX4VUQmevunGWOeAs4D3o4qd42IFAKFxpgPgIonZ6x3O1BEygCMMf8GNhhj+m1hzuJk3OcH3ET0ZeA0Y8wo3J7WUmAmgIhMiiq3yBjzOG7vc7RnRGSmt13i/f7eEpGfvbhewe1FvVdENnqPfRJ1LluyQEQqFqVNMsbkAF9E9Xi+BrzqbftwE8ojRWSV99jlwEbc5PKnGnWX4/YejzLGZIvIetwe21aXmpqq251tu3s61g93wJNfQv+uWH/dE85/AnIKYHgfN0EESElw53UuWgu5xTBmIBy2M0ydA0nxsHojrM1153Reezy+FRvgoU8gLQkcB2Ysdud9Bv1w9K5QHoZ5q+CM8TC4J1WRNf1c8hKSSAzGkRxye2bDfl+Dy9bcTktLZfKJDvdOt0kOwrW7uXU9eUg8AzNs1hXDpTv7SY5z37jT01KZ8leH+6bbpMbBdbv7KuucPcHhtE8j/J4N/VKhawLM2QBxAdiphzsndML2PvqlWvRLTeGjY23eW+gwtqfFeaN92I6Dz/IxJ8fhtO0sduyXssX4dbtjbKuGa1cJKG4vGLjDp40VEZHsqPvFuMPuAIhIsZcEpQIYY4bi9prt5j1W8dG8O7CsEfE2JVaMMTfi9hzuKSIl3sP9cRe4RFsMHB11v+Z5FkHle8VgIB5YVyNhL8Ud4q4vAf0W6G2MGY6bgP4d6InbG9gVmCIijhf7QcCNuNME4nF7ZWsmaFm1tBHdk11cx2MNfaXX7BUvrqeu7l6clc+tiBQaY9bjPufVElARmWqMuRa3V/ctY8w04FoRkQbGptTW2XkoPH1R1f3//afhZU8fX/vjI/rBkw1aa9ds0ktL2P/cazl8/kxyE5JZ0a27+6mwiQalWzx2YPVBi8Sgxa171zaQAUMyLB4/aPN9mYkWk05o+NvjYUN8HDak6r7PsrjCtP8eKqVaUntLQLO8n8OAuS3c1pPAamC0iOQYY7YH/qBqGVpDrpichRvrV41p2BgzATfB21NEcqJ2rQAOq3H4EO/xhliGm5BmikijrvgsIkVeonUybmL9C+7w9nm4Q9oveLHH4Q7z/xt4XkRKjDEXA/+qUWVbuuJ0NlCGe14VPeopQA/qeG5F5GngaW/Kxs3Ae7hJfFs6L6XatI3JKXw/dCTfDx0JQN+i3NgGpJRqNe0qARWR9caYd4DHvSRtGTC0hZpLw51DmGuM6Ub1hUEAa4EBxpg4EaljZj+PAdcaY2bizv3MBAaLyPS6GvV6Dx8CDqplXunrwA3GmDNx523ujLsA6yIaRnAXyTxsjLnJS6y7AweIyBsNKD8Z+Cdub2fEGPMN8CLuop3TvGPicHsTN3nJ50jcxV5tlojY3hSM24wxc4Fc3MVp83AT7WqMMbvinuMvuIlrAVAxkS0bNwkdRv09ykp1er6Iw5nTp3LMnOnkJSTx4zbb4U5hV0p1dO1xEdI5wG+4Q8IFuAtYerVAO1fgDoHnA98Bn9TY/zZu79haY0yut0CopsdxFzc959XzK2zxMnenASnAN8aYwqhbujfv9TDchC4Hdx7mDSLyVj31VfJ6PY/G7cWdYYwpwF2INb4h5XET0DS8Hl0RycVN0lZUJMve3NOLgHu8KwQ8RsMWOcXaFbgJ+nRgOdAbOEpEIrUcmwL8F3c+bw7uO+ZJAN50iRuA172/i+taIXal2qXuxQVMfOtxjp0znQkzvuXRD56PdUhKqVZiOc6WLzehlGqz9AWs2q81m6DPuVX3g34of7vu45Vq+1ps8m+RdVm1//fJzn/b9UTj9tgDqpRSqiOoeQmpTF1NrFRn0a7mgHYUxphJuMP7m/Gu/9nqjDEDqHth1ysN/SrK1mCMGQdMqmP3HSJyR2vGo5Rqoi4pcPGh8OgkbB/47q15tTalVEelQ/BKtW/6Albt3pSnXiGcEOTgs06KdShKba0WHIK/vMYQ/EPteghee0CVUkrFVFGf9FiHoJRqZToHVCmllFJKtSrtAVVKKaWUauM6wve/R9MEVCmlVMzkF0T4fX4P4oIRDg07BAId601WKVU7TUCVUkrFhG07XPSfbGblD8KHQ/i5jVz7t66xDksp1Qp0DqhSSqmY2JgX4eciPyV+H0V+P6/Ps2MdklJtloNV7dbeaQKqlFIqJoprXAYwEtIEVKnOQofglVJKxURC2GHb3HzyAn5CPh/9ysuAnrEOSynVCjQBVUopFROWA3utWE1SaRkAOen6VZxKdRY6BK9anTHmZmPM5K2s40ljzKPNFdNWxDHRGPNsrONQqj3y23Zl8gmQUlwSw2iUUq1Je0BVm2eMyQKuF5FXKh5rS99NH622WJVqaSUhh8ckwtyNcNooiwMG+Ws97p1Z5Xy+xGGnvn7O28lPfCMuefTj8ggv/G4zqIvFpbv4SY3fvKzjOPw8o5jCIpu9dk0mMbH+Po5yv4XtgM+rqrQDLKxQSjWMJqCq2RljgiISinUcSnV0+aUOF31QyjtzIpTH+SEuwAuzHfoFQ/TLK2HcsABnH5zMzf8L88fKMKtXlOGzLF5MjuO6b/zskhkhPc7hloMTGNXLTVofmxHhrTlhNuZF2KG7jzsODnLLjw4TZ4QBsByHDz7J49pDEjh2v+Rq8Tz/+iY+/6oAgA+/KOC/t/fG56s7qUwrLmOHP1ayum8GgbDNoLzSZnlenE9mwpNTYFgvuONErMS4Zqm3Qt67C8l9YS7x22XS4/Y98MVv4a302a/g/Z9h9+Fw3QngqyUx/2ImPDoJBnWHu86A5IRmjbnJlqyFa18Fx4HbT4VhfWIdUafVEVa+R9MEVG01r9fveWA/YBfgQmPMAGAC0AOYA1wmIlJH+cuAi4C+wCbgVdxexIgx5mNgAPCsMeZJ4EcROdgYMxEIi8h5xph7gWEickxUneOBj4FeIlJkjNkeuB/YGSjx2rhxS4myMeYA4A5gOBAGvgYuFZH1tRxba6z11a/U1rjso1Jem+n9CZfbkOEHn8XKMh/+QvjqpxJeWhVgXalFZn4ZSaEIAMFQhPWBZCavtKAoxC8rilh+XRqfLbK5+MsIFIbAgdlrbKattFlaVtWj6lgWhaXw3zfy6dsjwK6j4iv3ffVDUeX22jUhVq0P079XsM74i+OD+EMRtlmUDcDSXhlb/Zw4S7PhuIchFAF+B78P7jtlq+utUPrnRlacNAkiDgWfZmElBuh56x51F5g6G85/wt3+7Ffong4XHlL9mFU5cPRdUOb9Lh3g0fObLeatcuzdMGuZu/3Hcpj7cGzjUR2GzgFVzeV84EogFdgJOBr4C9AVNzn93BjTpY6yK4FDgTSv3DnAeQAiciSwHDhPRFLqSOheAA4zxnSPeuxs4C0v+ewBfAu8h5vk7gEcBPxfA86rDLgY6A7sAPQB/lvbgQ2MtVkVFBTodifeXrqpxmWLKi5r5DiUBdx/7xu8TkV/pOpYv+Ng2Q5YFlgWK/McNubmszTPceuIujrS2gIb/FU9Lz7HITXk9oau2RCuFk9pVE9giWWRV1Jcb/xhv4+X9hrJ7CHd+HVYTyZtP3Drn59VG73k0xVesHrr64zaDq0ogEjVE1Q8P6f+skvXEa1s/orNj1mzqSr5BMILVjVrzFu1vTTqs/bS9bGPp41vq4bTBFQ1l2dEZKa3fQFwlYgsEZGIiDwHrAEOr62giLwrIktFxPHqeBk4oKENi8hcYCZwOoAxJhU4ATfxBTgT+F1EnhKRchFZBdzpPb6lur8XkekiEhaRtcA9jYmtpaWmpup2J96+ZM+4yvmT+H3uP/SwjT9s06WkHMsPZ45yDyhKjKvMK4vjA+5wXjgCjsPFe8aRmZHGcdv6GJhhQbDqreHC3YJ0T/VBnI/kAOycX0hS2KZXVz9775hQLZ7T/prB0oQ4lscF6bFLGqMGpdUbv+NYbFNUgJPgJxiEjEio3uMbtL3rUNhrmLudECRwySENL9uA7eRxfUk0PQCwkgL0uHin+sseuQts09vdzkwh/vxa4tlxMOy3vbsdFyBw2RHNGvNWbV9xZOVjXHFE7ONp49sty6pxa990CF41lyzvZzcgBfjYGBN9lekg0K+2gsaYU3B7T4fg/k3GAdMa2f4LuMP4DwJ/BVaKyA/evsHAXsaY3KjjLaD2lRrVYxuLOwQ/BkjyyqU0MjalWsTxOwRZcrWfH5dH2K6nj8EZPv7c4H5PyrJ16Ywf6qNHRoArxtms3ejnybfLWJtrs+8uQY7ZK44kn03YTmDHvu5LoXeKxaxzg8zJDhAK2XRL8jGyp4/rSxzmb/IzqisQjmPF2jCD+gRIrrHI6MTdE9l1mzg2FdmM7h/Asup/k0wMh+lWXDXvc0B+4VY/J1ZcAGfK/8HMZdC3C1a/zK2uM5ovMcDg706k9LdsggPTCPZOrr9AtzSYeZ87fD2st3u/poAfvrgRfl0CfTKhf7dmjXmr3HIynLiH2yu+w8AtHq5UQ2kCqppLxfjeBqAIOFBEpm+pkDGmP/AKcBwwSUTKjTH3AaaWuuvzBvCgMWZn3LmnL0TtWwZMFpFae2AbUO87wIkikm+MOQJ3bmld9KtcVKsa2MXHwC5VieDu/dykb7d+VZ+vdujpY4eePg66sWZis/kgWFq8xR79rGr7MhMt9kj07sRbjBpa96Kegd38DOy2xc92gDsEvzYjjV65+QCs6ZLeoHJbYsUFYLehzVJXbXwJAZJ2793wAimJsMe29R8TDMBuw7cusJayvSaeqvlpAqqalYg4xpj/AvcZY84TkYXGmBRgL+APEVldo0gK7jtdNhAyxuwOnAH8GXXMWmDYFtrNNca8D9wO7I7bC1rhJeCfxphzgNeAcmAQMFxEPt/CKaUBeUCBt7Dqmi0cv8VYlVKuorgAU0YOY8DGXEKBAIu7Nk8CqlRH1NFWwescUNUSbgI+BD40xuQDC4ELqeXvTUT+jDo+FzfBe73GYbcDpxtjNhljJtXT7gu4i5m+EJE1UW2sxV2hfwzuVIFNwPu4Q/5bcgHugqgC3EVMb2/h+IbGqlSnZ9nwe0Yyf/TqzuwemayM0z4RpToLy3GcLR+llGqr9AWs2q2Na4o5/tIspg4bgM+2OXnWQl79bGysw1Jqa7RYN2WedVW1//fpzr3tuktUP24qpZSKCTs1gSPnLeXAhctJCEfI7lvXldqUUh1tCF4TUNWpGWNOA56qY/ffROTV1oxHqc6kW4qPny8dR+CTRZTEBdn14i0s1FFKdRg6BK9U+6YvYNWuhW2H29+cRrI/zFV/HRfrcJTaWi3WTZlr/bva//sM55523SWqPaBKKaViJuCzGJuyIdZhKNUOtOt8czO6Cl4ppZRSSrUqTUCVUkoppVSr0iF4pZRSSqk2rqNN+NcEVCmlVMy88EeEixceSKIVZtIah116d6x5bkqp2ukQvFJKqZgoKnc45wuHYjtITiSRoz+IxDokpVQr0R5QpZRSMbG2yK5xP0aBKNUOdLQL0WsPqFJKqZiwaryfdrQ5bkqpumkPqFJKqdjQjFOpRtAeUKWUUmqrRfSb+JTqtDpVAmqMmWiMeTbq/hxjzEmtHMM4Y0xua7bZERhjBhljHGNMvxi0PcAYU2iM6dPabSvVkVkdrEdHKdVwnXoIXkRGtWT9xpibgb1F5MCoNr8DMlqyXdW8RGQ5kNKQY40xE4GwiJzXokGpts+2YX0edEuDgB/KQ7ChAHwWdE8Dv7/2cutyoUsyxAWrHotEIDt/83LhCGzIhx7p4GtAf8KGfEiOh8T4rTq15rPlHtANxQ5JQUgKuslqScihMOTu+/tkm5wSh+t293HAQPf8bcfh1bk2z8xyWJEPmYkwYXs4e3s/KXEWHyyIcP8Mh20yLB7cz0dGgltvWdghtwx6JlvklznYDsT7oTAE3ZM2T5RDEYeNpdAjCayak1mVagEdbRFSp05AlVKqRRSUwAE3wfRFMKIvPHkh/PVeWJ/v7t++P0y9HbqmVpWJROCEe+GDX6BnBky+CbYfCDkFMP4GmL0cxgyCb26FLimwdhPsewMsWA27DYPJN0NKYt0xXfIMPDoJUhPhw2tgvx1a8AloGJ9lUV8S+q+pEe4Xh+QgvHuUj3g/HP2BTX45ZMRDbpl73E+rbdZcZBHwwYjnI6wqrKojqwB+nQL/nBrh/3aDW39yH/9+lYNFhOcPDTBzncMh70TILoFde8Gv68F2IM4HpRE4f7TF0wdXJf4LNjrs/5bbziGDLD4+1kfQ37GSA6VaWodMQI0xKcDNwHFAd2AF8LdajssCrheRV4wx44HJwJnAbUAv4F3gYuB+4AQgH7hCRN7zyo8BHgZGAX5gGnCxiCz2hvavBXzGmIp/h6OBAcBkEQl4dVjA+cAlwEAgD7hbRB6t5/yuBG6NesgPJABdRCTXGLMvcA8wAlgDPCgiT3llK87zNOAOoBvwBXCuiBR4x3T1yh/s1fsNcImIrKsrpqjY9gVu954TG/hERCZE7as1robsbyhjjIP7fE4AtgN+B/4KnAhcCSQBT4rIdQ1p2xgzCFgK9BeRlcaYnYBHgB2ACDAPOBz393iaV+Zkr+p0EdGLG3Y2r3/nJp8A81bBZc9VJZ8As1fA81/DVcdUPfa/uW7yCW4v6N0fwMuXwQtfu8knwO9Z8OI3cPmR8OQXbvIJ8PNCeON7OO+g2uNZus5NPsFNjm98A76LfQLq1JN8ri50uF/c/UUhuOEHm6QA5Je7+yuST3CTxE2l8GWWXS35jBay4b7p1R+bk+P+vPNnm+wSd/uXtdXrBXhmlsMVYx226+ommQ/MqGrniyyHL7IcjhiqCahSjdFR54A+B+wGHACkAUfhJhVb4gfG4yYW2wF/wU0qPwC6AncCzxtjkrzjHdxEty8wCCgEXgEQkTdxE7ypIpLi3ZbU0uaFXh0X4Q7N7wT8XF+QIvJARZ1emanA+0CeMWYw8DnwhBfzBOBOY8yJNc7zYGAMMNxr81KoTIg/8M5te9ykuAB4rb6YvLKjcZPZ54DeQH9gorev3rgaGHdjnA4cg/sBpBSYAnQBhgL7A/8yxuzVxLYfA74EMoGeuEltuYjcA7wKvBj1O2/R5LOgoEC32+B2SUKN4fUuydRUmlT1+b+goMDt1YyWmdLIx1PrjKeQMASj+hsyU5p0Xs2+vdnQdVVCGiktJD7qacxMsOiSUHuS1yMJuvkL6VpPBzBAciD6uqMO549260vxh2qNoULAB75QVWabbJVX25/pxRXz51O3Y77dkhysarf2rsP1gBpjeuD2dm0vIku9hxd5+xpSxXUiUgwsN8ZMBZJF5FOv/Eu4Scow4HcRmRVVrswYcwvwhzEmyaujIS4B/iMi33v3N3i3hnoSSAeOExHHGHMK8KuITPT2TzPGPAWcB7wdVe4aESkECo0xHwAVT85Y73agiJQBGGP+DWwwxvQTkZX1xHIh8HFU2+AmxwBbiquhcTfU/RWxGmPeAe4CbhYRG/jdGPO7d84/NKHtctye7P4ikoX7ISUmUlNTdbsNbieesT/MXgWfCOy9HfznVLjwSZg6B4J+OGFPEi48tHrZHVPhoXPg6a9gu75wy8mkpibDhP1g5lKY8gccNAZO35dUnw/+/he3Z/TH+XDEWDhud6IG9KvFkzK4L7xyGdz+DvTKgEfPbxvP1War4KveVPt3S+X1I2xu/tGmW6LFEwf6CPqhOGyzutDh0MEWny52SI6DVw/zkZqaygnbwkkLwny4yB1CL4/KN3fpBQ/vH+COn23+zIELRvs4b7Sb4d67fzybQjYLNzkcNdTHNyscisOQ6IeiMFy9q49te1XFf8s+CawutZmV7XDmSB979rXaxvOp2zHfVg3X4RJQ3J5IgAVNKBsRkeyo+8W4w+4AiEixl8SmAhhjhgL34va2plL10bk7sKwR8TYlVowxNwLjgD1FxBtAoj/ucHG0xcDRUfdrnmcRVL53DQbigXU1EvZS3KSrvgR0EDCzjn1biqshcTdGdI93MbDeSz6jH6s458a2fTZwA/C9MSaE2+t9i4iEmxir6mgsC+45071VePfqLZe77Aj3Fs3vr0wYqwkG4Jm/Nzymv+7l3tqU+ueAHjvMx7HDqg/UfXFCVbfoPftuXuaNI6ve1j5ZbDNzPRw11GJMDzdJ/OjYzQf+uiZavH+Mf7PH65ISZ/H6EQ0/Xim1uY6YgGZ5P4cBc1u4rSeB1cBoEckxxmwP/EHVx3i7zpJVsnBj/aoxDRtjJgB/x00+c6J2rQAOq3H4EO/xhliGm5Bm1kjYGiIL91xqs6W4tjburdGotr2e9XMAjDE74A7HLwWep2G/c6UUYLXwleiPGOrjiKEt2oRSqok6XAIqIuu9IdfHvSRtGe68v5aQBiwEco0x3ai+MAhgLTDAGBMnIuWblXY9BlxrjJmJO/czExgsItPrOB5jzEHAQ8BBtcwrfR24wRhzJu68zZ1xF2Bd1MBzEtxFOw8bY27yEuvuwAEi8sYWyj4F/GyMOQN4C3eO8W4iMrUBcW1t3FujUW0bY84CvhKR1UAuEMZdjATu73x3Y4yvCQm8Up2Ks4UeUKVUx9VRFyGdA/wGfIu7gOZD3FXtze0K3CHwfOA74JMa+9/G7UVba4zJ9Ra71PQ47uKm57x6fgV22UK7p+Fel/Ib7wLpFbd0r3fuMNzV+znAy8ANIvJWQ07IS5qOxu3FnWGMKcCd4zi+AWV/99q+CFgHLAfO8PbVG9fWxr01mtD2/rjPTRHwE27S+rK371kgGcjxfuc6TqdUXfSbkJTqtCxH/wEo1Z7pC1i1W4s2Rhj2fPU/YedfHW5gTnUuLbY8Pdu6vtqLpbtze7teCt9Re0CVUkq1cYEa70D6hqRU56EfNdsoY8wk3OH9zXjX/2x1xpgB1L2w6xURubCV4mhzz41SqvH6pvpICUYqv1pz196xjUcp1Xp0CF6p9k1fwKpdm5XtcNG7K0nxh3j1tMF0q+V715VqR1rsD3i9dUO1//c9nNva9YtFe0CVUkrFzOjuFtf0/Q2AbklDYhuMUqrV6JQbpZRSSinVqrQHVCmllFKqzWvXI+6b0QRUKaVUzOSVOnyyYQBJ/jCHOw4+q2O9ySqlaqcJqFJKqZhwHIexz5SzuGA7ANa/G+LVE+JiHJVSqjVoAqqUUiomVuTaZOU6jF22luL4IO/bXWIdklJtVke75IkmoEoppWKiuMzmmo9+JL6knKRQmJlD+wA7xzospVQr0ARUKaVUTCSXhJjRpzvd/FDq9+HLK451SEqpVqKXYeqkjDGOMWbvrSg/wBhTaIzp05xxNaL9sDFmfCu0M84Yk9vS7SjVGZUGfexYXsLwwiJG5xWQmhiMdUhKtVkOVrVbe6c9oGqLjDETgOtFZJuKx0RkOdDhv/ZSRL4DMiruG2NuBvYWkQNjFZNSHUVSxCYpYhOxLCzHIS0SiXVISqlWogmoUkqpmCgJBFiU2YVQfByW7RB2tj4BfWtuhJ9X2xwz3M+4ATrIp1RbpQlojBhjsoDngYOBHYF5wEUiMt0YEwCuBSYAXYBfgctEZLZXdiIQBGzgaCAbuE1EJnr7J1Cjx9IrExaR82qJpR/wLDAWiANmAZeLyAxjzB7Ak0CcMabQK3IEkAUsBfqLyEqvnouAy4FewJ/AVV4PYkXP4TjgZ6AihidE5KYGPFepwKPAkUABcGMtxxwD3AAMBdYAt4vIq9HPB/Aw8G8gGXgL+LuIRIwx8cAjwDFAArAOuFZE3vaG+SeLSMAYcxLu78UX9VyMAf4HXCwi70fF8xIQEpFzt3R+qo15bxrMWwkn7AnDt3KGSXYevDAFuqbC2fuDr4UTouIyeHYyOA6cfxAkxTd7E9n//Y2CT7PIHAYZfW04ehcY1b9Jddl+i8KkeJZkJBO0HXrml9R6XFaew6tzbLI22gxPdzhnbJCutXxn/N0/hblmSgRshwd+sbl5Xz/TV8NuveGq3f0s2ujw4XybHXtZHD7MT0G5wzOzHHAcImUOiUE4f6yf+EDDhzffnhthYY7DSaN8DM3UhFe1nI4w7B5NE9DYuhA3qfoDuBL4zBgzFPgHcCZwGG6S93/AV8aYbUUk3yv7V+Bs7zYe+NgYs0BEfmxCHD7gcWAy7pUe7gLeM8ZsIyI/GWMuZPOEdlB0BcaYU4DbgMOBGcBZwOfGmJEissw7bB/gbaAPYIDvjDFfisgPW4jvIWAYMBIoAV4A/FFtHwQ8h5tA/uDV/YUxZoWI/M87bCDQEzdB7Q/8gps4vurFuguwnYjkGGP6A6k1gxCRN40x21FjCN4Y8xxuUv2+dz8dOAHYfwvnpdqap7+Evz3pbt//Ecz5L/Rq4qWBQmHY53qYt8q9/8cyeKiFP4+ceC989qu7/flMmHRDs1a/7s4ZrLr2ZwAKvgqRzC8E7/oA/rgfBnZvdH0O8PWg7uQluNf+7FtLwryp1GGPl8OsLfIeKI3w0swwv12ciN9X/Q35ju8jUGa7d0ION38DWBafLoCpWTbTVzkUlLu7XzsWHv/D4Xvv10PIhpII3yyN8O7JDUvcH/45zGVfhAF46GeY+/d4utWSGCulNqcf12LrORGZISLlwN24ydURuEnl3SIyT0TKgFuBCG5yV2GaiLwiImERmQy8i9tj2mgislxEPhKRYhEpwe0tHICb9DXU2cBTIvKzF9NzuD2pp0Yds0BEnvT2TwN+w00W62SM8QGnATeIyFoRyQOurnHYZcB/ReQ7EbFF5BfgFdwkvkIJcKOIlInIIuDrqLbLceezjjTGBERkhYjMbcS5PwscZIzp690/FVjsnWOLKigo0O1m3A59ObNym42F8HtW0+tcm1uVfAJ8M7vF43e+mV3rdnPVv/GjxZXbEYKUkAIFJZR8P6dJdYYtKpNPgDUpCZsdMy/HqUo+Afw+Zq9z2FBcvc6l6wvIL7Spxq66cuKPK6qST4DPF5RVJZ8AfjdxnLKkahrAluL/JquqveximL6sqMFldbtjbquG0wQ0trIqNkTEAZYD/XB76JZG7bO9Y/vXVjbqfr+mBGGM6WaMeckYs9wYkw+s8HY1pkujWsyexVSPeU2N/UXU0tNYQ3cgnurnW7OdwcDVxpjcihtuMh49frpeRKInmEW3/QpuEvkgkGOMec8Ysw0N5C3I+go3CQe3N/SZhpbfGqmpqbrdjNvBw6M+D3VPg50GN73O3l1gh4FV9R28Y4vHbx28Y9T2mGavP/OEqs+kAcpJpAAykkncd4cm1WkBiWXhysdTSkObHTOym0W/6P8SEZudevvonlS9znkFyZt/VXZUD+m+gyzSozo2jxwRz379owpE3GT1kG2qBga3FP/BQ6veQnunwG6DkhtcVrc75nbLsmrc2jcdgo+tQRUbxhgLt9dxJW4CGL3P591fUVvZqPsrve0C3HmO0frgJri1uRPoDewmImu8OZf5VP2F23WUi1YtZs8Q4OMGlK3PBtweykG4CS21tLMMmCgi9zalAREJ4/ZA322MycCdb/o87pSBmup6Lp4CHjTGfIo7VeDlpsSiYuzsA9wh9z9XwrG7QY+MptcV8MPUW+GV/0G3VDhlXLOFWac3/wkvfuPOAZ3Q/DNAev5zJwLpceR/vJTM7XwEewyFIw3069qk+oIODN9QyIIuyQQchyEbi6h5cY30eIufTg/w1jybFbk2Q1IDnLlTAF+N4ffRPSySk/0UFbqfMw/axseEsQHen++we2+LS3bxkZXr8MlCmzE9fRww2MdhwxwmznYvahMp85EQ9HHWjn4a6iIToF+qxaJNDsdv5yczsf0nBUq1Fk1AY+scY8z7uHNArwCSgE9xE6x/G2P+h9vzdzXu7+rTqLK7e/Mu3wL2BY4HKuYl/gb0MMYcAXyGu1BpH9yevtqkAcXAJmNMCm4yFm2tV19a1BzUmiYC/zXGfIS7aOoM3MVVp9T3BGyJt0joNeAWY8xs3KH0u2oc9hAw0RgzDfgRd37oDoAlIrKlNowx+wN5uFMGSnB7RyN1HL4WGGCMifOmTlT4FHce7XPAuyKyqYGnqNqaQ3d2b80hMxUuPXzLxzWX+CBccHCLNtH1vFF0PW9Us9QVAuZ0TSXsd3sSszKSaj2uX5rFlbv6iZr6vZm+qRbTJgR5e56f7bpanDzSrfPUkVXHDO9qcWXXql7LpKDF33fauqTxyG0bnrAqparoEHxsPY27MnsTcBJwuDfH8V7gdeBL3BXZ+wMH10j+3sJdpLQJN+n5R8ViHhFZjDsv8mlgI/AX3DmidbkR6AHk4CZhP1I9AfsGd4h5qTfEvW/NCkTkNeAW3CQ3B7gIOCxqAdLWuAx32H0ebrL+cXR8IvIlcD7u87YBd6j/QRp+ndKeuD2Wm7yyA4EL6jj2bdze3rXeczHYiyGC+3vYiVYafleqvUuKOJXJJ2z9G9L23S1uGeevTD6V6kg62oXoLcfpaF9v3z54l2G6XkTq6pWsr+xE6rikkood73JP/yci27Zis/oCVu3WhsWFHP5AHr/06Y7Pdjh48SomTRwS67CU2hotlhmutm6t9v++j3Nju85CdQheqWbgzZu9DLdHWynVADnJ8eyXtYbdVmUTF7HZGNSv4lSqs9AEVMWcMeZa3Au81+bQiovZt1XGmMuBO3CnTDwd22iUaj98OLw1qC/j1uVQGu/jp55NW8ykVGfQ0Ya7dAheqfZNX8Cq3Vq9KULfe4or76fbNrl3p8cwIqW2WosNi6+qMQTft50PwetMbaWUUjHRO8PH9l0AywLL4q876RC8Up2FDsErpZSKCcuy+OmyFK55eQbJgTB3nbRbrENSqs3qCCvfo2kCqpRSKmZS4i0O6el+SZpldaw3WKVU3XQIXimllFJKtSrtAVVKKaWUavM61giBJqBKKaViJv/1X9n48CYSfCEiA1biH9Mv1iEppVqBJqBKKaViwi4q49DPk5mx11EEIzbf3rOQx1/VBFSpzkDngCqllIqJFetD/NyrN2XBAIUJcXycOiDWISnVZnW074LXBFQppVRM+EMOdtTK95BP35KU6iz01a6UUiomChPj2GPFKuLDETJKStlmU26sQ1JKtRKdA6qUUiomMoqKOXrRSnYqLMMfsRm+cgWwbazDUqpN6mjfu6wJqOrQjDETgbCInBfrWJRS1cVZ8MfQgYSC3ldw6picUp2GJqCqVRhjzgQuBLYDIsB04N8i8kdMA1NKxUxuUjKhYF7l/ZyU5BhGo5RqTZqAqtaSCtwE/AiEgRuBL40xQ0WkOKaRKVWfG1+HV/4HOw6Cs/aDa1+F+AA8fRGYbWIdXbOzr38XXpsGOw3AumBfrKteheJSsEKQGA+PnQ/jRjZLW4UBH1npiQzKK8EBpvftRtacQrptk8zZ75UxY7XNyTsEuOPguM3KPvJhIV/MKGVE/yC3npFKUkLd3acLsiNMeKuUnGKH2w+J58TRwc2Oee6dXH6YUcKwQXFcMaELCfFufbbjcNmXET5dZOMHwmU2uw3wsTrkY00R7NnH4ofVDo4DEQd26Gbx0mE+uiS0/1XKqm3pCCvfo1mO09FmFaiWYozJAp4GDgB2A7KAC0TkR2NMALgWmAB0AX4FLhOR2XXUlQCUAGNF5NcttJsC3AwcB3QHVgB/E5HvjDFJwJ3evkTge+BSEVnulZ1I1BC8McYBxonI99798cBkEQl496d6sQ8GDgTWAxfgfgXFQ8AA4GvgTBEpiKrzH8DZwAhgDjBBRObVd17NRF/ALWnqbNjvxqr78UEoC7nb2/WDuQ/HJq4W4nw9F+fAe6oeSAngKywGSqse65MJq55tlvaWZJUw7E0fA3OKKQ/4yEkMcsvCxRSftS23fBOqPO6Ls+I5eFhVf8m0P8u56NHcyvsXHJrERUek1NnO/k8X8c3iCABxflh/QyrpiVVv5r/MKuHmR3Iq7595TBonH54GwJtzI5z8QaSqspANcT4I1p3wXrazxUP7+7f8BKiOqMWyxGXWHdX+3w90rm3XGanOuFGNdQ5wKZAOfAW86D1+FXAmcBjQC/gO+MoYk1ZHPQcAxcDCBrT5HG7CewCQBhwFrPH2PQjs7t0GAhuAj40xW/Pf/wzgLiADeBN4GTcJ3QcYhLtK4tIaZSYAxwPdcBPkR7ai/QYrKCjQ7ZbcLiihmlC4arugpO3E2VzbNc+3LMxmvGOao11/JMw2qwpILwrRPa+M3huKKCuJUFBe/XPV+rySamWLyuxq+4vKnHrbKiirqq88AmWR6sdvzK0+CFNS6lSVLd/8KdhSilFQ3oZ+p7rdqtuq4TQBVY31lIjMEZEI8CywjTEmHbf3724RmSciZcCtuHM9D69ZgTFmOPAC8M+KXsS6GGN6AH8FLhSRpSLiiMgiEVlkjPEBZwHXi8gqESkCLsedZ7rrVpzjWyLys3eOrwC9gXtFZKOIbAQ+AUyNMveKyHLv3CfWsr9FpKam6nZLbh+6Mxzh/SqH9ISbTgK/z+0JvX9C24mzubYPHwOHjnYfGNoD6/bjIeAHf5x73gE/PHROs7XrxyEpUpVMppVHOOyC/ly+R5BturpZ3iHD/Px1x5RqZffZPp49R7rD8v27+zl9/6R627rzLwmkxrv3bzwgjh4pvmrHHLBHJjtu5x7Qr1eAow5IqSx7ykgfe/VzY0n0u+Ps26badPHq26Gb+zPOezftnwpX7+prO79T3W7V7ZbU0S5Er3NAVWOtidou8n6mAv2BpRU7RMT2huz7Rxc2xozE7Tm9T0SebEB7g7yfC2rZ1x2Ir9FuoTFmvdfuTw2ovzbR51hcx2M1/+PUfF5a5z+SalkBP3x8LeQVQWoi+Hzwr6OrktAOxgoGsD67EievGFITsHw+uOSQqh4/x3HngTaTMr+ftNIyfH4/tgXJxSWMPWgoAAsuTyS/DNJrmUsZDFg89o8MCkpsUhIsLKv+N+MDhwXIuSmVsjCkxNdSX9Dijiu7U1Rsk5RYvb7kOIvvzwySW+qQHg95pZCRaBG2HUrCkBpnkV/mkByEohCkxIFvC/EopTQBVc1nBVXJIl7v5CDv8YrHdgY+B24TkYYOUWd5P4cBc2vsywbKvHYWeW2kAD2i262hEIheatungXGoziw96k8mqfkSsLbKSk+qupO4+QKg5pIYtukSiRD2Erb0qCkOlmWRnlB/+dTEhg/iBf0WwS1MzElOqru+DC8Rzkh07wd8FqneU5PmJbVpHf9PQ6lmowmoai4TgX8bY/6HmzRejfv39SmAMWYv3KHrf4vIMw2tVETWG2PeAR43xkwAlgFDvX2LjDEvAbcZY+YCucD9wDzglzqqnAGcZYz5Bjf5vLJRZ6mUajZhn0U4UPU2tCElqZ6jlersOlbPus4BVc3lXuB14EtgHbA/cLCI5Hv7b8dduPSgMaYw6jauAXWfA/wGfAsUAB/iLnQCuAIQ3OuKLsedr3mUN3+zNhcD2wAbgbdwE2elVAxELB/roqYyrI3reNMalFK108swKdW+6QtYtVv5s7PZ7fFycpKTCVsW41Ys58PXd4h1WEptjRbrplxq3VXt//1g55p23SWqQ/BKKaViIi8piTfefJ5n9hxPemkpp0/7DtAEVKnOQBNQFXPGmCeB0+vYPbLiovJKqY6lV4ZF+sZs7vjkbQBWde8a44iUUq1FE1AVcyJyIe73xCulOpFgZhI5/zqQpPsmUx700/exI2IdklJtVke49mc0TUCVUkrFTK97/8KknYuxAz4OP1GH35XqLDQBVUopFVPhFF39rlRnowmoUkoppVQbp0PwSimlVDNxbIfEucXY9XwLkVKq49EEVCmlVMwsP/QdhnyZBcD6vJ/ocf0esQ1IKdUq9COnUkqpmChfW0T5l0uJ4BDGIvc/P8Q6JKXaLAer2q290x5QpZRSMRHOKSKFApIpBiC3NC3GESmlWov2gCqllIqJgG1XJp8AiZTEMBqlVGvSBFQppVRMhB0f5VEDcSXExzAapdo2p8atvdMEtBMzxlxrjPm4EcdPNMY824R2HGPM3t72OGNMbiPKTjDGLGpsm01ljBnkxduvtdpUqrMKEOZPBrGJNLLpwlJ6xzokpVQr0TmgnZiI3NGc9RljxgOTRaTOvysR+Q7IaOZ2HWCciHzfgGMHAUuBYqo+ROaKiCacSrUyx4JkIpSSCkAyZTGOSCnVWjQBVZ3VtiKyMtZBKNWSnOwC7Nlr8I3ui7V8HZSFYPdtNzvOnp4FgG+XQbVU4sC0BZAQgOIQpCfB9gNqb2/pBpxlOVi7DyG8oZTyRbkkDk/DN385DO+DXWLjrMrFt/sgrPggYV+AZMoryyf5whQXhFm7pIQeAxNIydj6b0hyHIeZS8MkxVuM6BtgVrZDYTns0Qcsq/6VxItzbFbmO+ze30d8wGLpqhBFJTYjh8Th8zVsFfLKAoeFGx1ML4vU+LrLLMi2WVtgs8dAP0F/665w/mWNg9+Csb3a/8rqjq1j/X40Ae3gjDFZwNPAAcBuQBZwgYj8aIy5GdhbRA70ju0FPAPsA6wD7gaeBQaLSJZXZbwx5hngRKAIuFVEnjLG9AEmAX5jTKF37D9E5MUa8YwnqpfUGBME7gFOA2zgAeAC4HYRmRhV7lLg30Ay8BbwdxGJGGN+9w750hhjA2+IyHlb85zViHcI8BnwpojcZIyZCPiBEHCc9xz8C/gT97kbAQhwmoisbq44lGose3E2ZXs8ANmFkBIkvnAFPiJwwUHw1EWVx4WvepfIfZMB8P/rQAL3Hl+9onMfgxemeHe8N8BHzoWLD6ve3qQ/iBzzBJSHKR0xhJXLU3CKw8QFyxkcmg4JyZSH0iFi49trCHFTLiE3KYmC+CCpZSEAVqWl8dHpv1EUskhK83P+fSPo1i9hq56Hq14u4IPpbs/qHmOTeGWDO8/09JEWLx/mr7Pcx/PCHP96OaEI7N7fxz+Hhnni7XwA9h2bwI0XZG6x7Z9X2xzwZoSiEAzvAtPOCNAlYfMk4s3fQ5z2RikRG/Yf6ueLcxMJtFISetmUCA//6g4GXbubxX/G1f2cKNWcdA5o53AOcCmQDnwFvFjHca8C5UB/YG/gjFqOOQH4GMgELgEeNcYM9JKtQ4GIiKR4t7raifZ/XrndgcFAP2BgjWMGAj2BocAuuMnvyQAiMsY75mCvzYYmnz8bY7KNMVO9pHgzxpg9gO+Au0TkpqhdJwDv4j4Ht+EmnrcCx3pxOsAtDYxDqRYReWumm3wCFIaIkOhuPzMZQuGq4x77tmr78f9Vr6SkbPPkE+DxLzZrz37meyh3682bV4JT7G6Xh+IoIoNwaRAitnvsD0twZq0mEAlz2klH8Om2Q3h9zAguO/IAikJuO8X5EWZ/t6mppw9AYaldmXwC/PhHaeX2K3MdCsrrXsrx9PQwoYi7PW2FzTvfFFXu+3ZGKbkFkS22/+JshyI3t2bBJpicVXt7T04LVTw1TFkcYV62vcW6m4PjODz+W1VM0dtKtTRNQDuHp0RkjohEcHs0tzHGpEcf4C262R+4SkTyRWQ9bnJV0xQR+UhEbBF5D8gFdtyK2M4E7hGRJSJSAlyN2xMarQS4UUTKRGQR8DVgmtjeBmAP3GR3EG4iOckYM7rGcScA7wNnRffEeqaIyKciYgMv4fbKviwiK0WkGHhnK+JrlIKCAt3W7Vq3y/qnEs2HmxDaA7tBMFB5vDW8Z+Ux1rAe1etJiMPuV9HTF5WcDOu9WbvR9cT5qxJccIijFIuqx5ykIFbfdDLKishOjuetnbbhrTHDSA6FqsXctU/8Vj0PSXEW3aMuLZqYVJVE905ySA7WXXZ4t6q3x4QA9O5aVTY9xSI50bfFGIZHdZL6LBiaYW2xrZQ4SLGKNzumJbYty2JoWtW/2yFR223hb7g9brckvRC9ao/WRG1XfIxPrXFMX+/n8qjHlm2hror6atbVGH2j2xGREmNMdo1j1nvJ81a3KSKFwDTvbjnwiDHmKNxe1VlRh14DfC4ik2uppvI5EJFiY0y1x3AXOG3Nc9Jgqampuq3btW6nnL4H4bwQkSkL8O/WH/+CRVAawnfTX6sd73x4IeGbPgEgcMsR1euxLHxf3Qy3vQ0l5W4O2isDbj91s3adW44En4WzcB1dz9kbS4oo/T2b9IEOCctCODsMxCqMw87aSODv47B6p1O+McSk119keO56AH7r2p+kR49hyeIyBm2fyg77Zm7V8+DzWbx0cRce/6KY5ASLM/ZP4oHfoKAcrt/dj8+bA1pb2f8cGCTggyUbHS7cNcAuvRJ44cN8CoodTjkkhWCg7rIV25eOdXtAZ65zOGmEj517WUT/a6g4/oEj40mOg5V5DpfuFWRQz0CddTb39mcnBLn5Rxu/BbftHWxUWd3efFs1nCagqsIq7+cAYEnUdmM0ZdxoFVFD7saYRKB7I+vY2nEjm81ndx8BvGCMeQJ3vqmOTal2J/CPfQj8Yx/v3iG1HmMN7Epw4ll1VzKiH7x6xRbbsuKD+O84tvJ+90Oj9x6JBdRcUhTvhCqTT4DhuWvpe3I/dttiaw03rHeABydUdYM+dXDDyiUELe4+JK7aY5edmtGotn2WxXV7bHlOZXKcxQNHbt1c16YakmHxUj1zYZVqKZqAKgBEZKUxZipwlzHmXCABuL6R1azFXYQ0WESWNrDMy8BVxphvcHsR76TxU0PWAsOAhlyGaXegEJiH+/d/JrAvcG0tde4LfAG8bIyZICJhlFLNxnIilFsB4hz3pRXStySl6tQRht2j6RxQFe1UIAlYCfwAvO093qCL84nIAuAJ4BdjTK4xprZFTDXdibsw6hfcFfprgNUNbdNzHXCrMWaTMeapLRw7GPgAyMPtfT0DOFJEZtQ8UEQ24l49oD/wjjFGv6ZFqWYUtoL8kTSY9YF01gQzWZTYJ9YhKaVaieU4OrKoameMOQT4EEhsrSFoY0wKsAnYV0R+bI022zl9Aat2q3T2GlaMfZSUSIiw5SdkhRlSfm+sw1Jqa7RYN+V864Fq/++3da5s112iOt6hKhljdsSdD/kHbk/h7bjXv2yxJMcYkwnsiruyPQl4ELcndHpLtamUahsCdoRB5eupeM+2mzSNXKnOoaP1NmgCqqJ1wb2mZW/cIepJwD9buE0fbqL7Nu7F3QU4SkRC9ZaqgzFmADC3jt2viMiFTYpSKdXsfL3SiER3GMXrLBelOgsdgleqfdMXsGrXQic/A29OxwF8j51K4O/jYx2SUlujxYbF59UYgh+hQ/BKKaVU0wTfOJ8p+6YQTvRz8ITxsQ5HqTaro62C1wRUKaVUTBX1S4l1CEqpVqaXYVJKKaWUUq1Ke0CVUkoppdo4HYJXSimlmsmva22uzdqFFH+I3YoceiR3rDdZpVTtdAheKaVUTIQiDru9HGF2SVemFfZir1f1226V6iy0B1QppVRMzN9oE466sMyiXL2qmFJ16WivDk1AlVJKxUR52CattJzdV6ynNODn537dYx2SUqqVaAKqlFIqJuIiDqfPXMSmxCQCdjn9c7OA7WIdllKqFegcUKW2kjEmyxhzeqzjUKq9SQiFWZmRQVlCPEVJiRTEJcQ6JKXaLAer2q290x5QpZqRMWYQsBToLyIrYxyOUm1aqd9PwKp6Iy0JBmMYjVKqNWkPqFJKqWZTHHLYWOIul7Adh3VFDhG79uUTpX4/hUEfKeUhkstDbEiOa81QlVIxpD2gSjWAMeYy4CKgL7AJeBW4XkQiNQ793fs53xjjAHeLyG2tF6lSW6845HDr9xFW5DnEx1mEbPjHTj5271u9z+LHlTZPzLQZmG5x/Z4+Xp9jc8HnEcKOxV7pYdavD7E4PoEuKRZyhp9B6dXLxzk2PYvKsAAL6F9YslksH84q573fy9ipX4DLxidgRfWY5q8pYfqzi/EHfOxy/lCSu8VvVj7y53pK7vkWKz2BxJsPxJeR2PAnIhSGO96FhWvg3ANgvx0aXlbFVlEp3PoWrNkElx8BOw9tvrrXbIRb34aIDdefAANaZ/FcRxh2j6YJqFINsxI4FMgCdgQ+97afqnHcGNwh+G11CF61V1d8FeHp32w3K/Ryxg8XRljyN4tuSe6b4Loih0PeilBYDuBQVA5PzHCTT4Af8gL4E/zYfh85pXD8hzYzzqyegPprtOtzqveU/roizMkvFGA78MaMchKDFn/bu2qe6MeX/crGxYUAbFhYwAnP71atvBOKkH/gszir8wGwl+eS+t4ZDX8ibn0Lbn/H3X53Gsx/pNWSDbWVLnsOnvva3f50Bix9EtKSmqfu4++Fn+a729MWwKwHm6feTkaH4JVqABF5V0SWiogjIjOBl4EDYh1XQUGBbut2s2//sc67IHxUh0tBOcxfV1R5f97aIi/5dM3NcSiLvqin4xDxV73FbCi2N2sroSzE9D4ZlPp95McFWJkQqHbMwvURokfv562LVJZ1HIdNSwsr922M2q48Jq+0MvkECM1Z26jnITQrq6rx0nLIWt/gsrod2+3IH8sqt9lYCOtym6/+uSuq6p63qtoxquE0AVWqAYwxpxhjphtjcowxecA/gJh3haSmpuq2bjf79vk7B93cMyr5272PxS4DkqvuD0xm195uhuqz4OwdfJwwFAjb+MI2/XOKSC4JVR5/9e5V/Z0VbRUnBBk7ZymTB2Qi3ZPpsy6n2jH7bxtkYBf3bSoxCCftHFdZ1rIsRh7dr/L4Ucf026x+X7dkgseMrHw88fzdNjumvu3guQdCwIt7zCAw2zS4rG7Hdtt/wcFQMV1jv+1hSM/mq/+8Aysf45z9qx3Tkpwat/bOcpyOcBpKtRxjTH/c4fbjgEkiUm6MuQ8wIjLeGJOFOx/0FWPMAGAZrbcKXl/AqkXMWm+zthC6JUF2Mew7wCIhUH0OWknI4X8rHPqlWozqbuE4Dt8utYkLQFe/w7rcCIXxQfqkWezYY/P5awsWl7Dt2343gwWsiI39f9XncW4ssvllWZgRPf0M6lp90N5xHFb/uglfwKL3mC61nocTsQl/sxgrI5GA6VfrMfWatxKWZcPe20GyXiaqXfl9KazLg/GjIK6Zr7Dww58QtmHfUTX3tNhEzVnWw9X+3492Lm3Xk0J1DqhSW5aCO1qQDYSMMbsDZwB/1nJsNmADw3DnjSrVLo3u4WN0j/qPSQxaHDKk6j3QsizGD6lKErftW/9bTFFCoNo4XM05oQCZyT7+MrL21fGWZdF3bGa9bVh+H8EDh9V7TL1G9HNvqv0ZM7jl6t5LvzBha+kQvFJbICJ/AjcBHwK5wDXA63UcWwLcALxujMk1xlzXWnEq1d4EHUiLGqbvWVAaw2iUats62oXodQheqfZNX8Cq3Zq9opzz7tzIosxkghGboRuL+f6p3rEOS6mt0WKZ4e/WI9X+349xLmnXWagOwSullIqJkM/ij66pFAfdwffyzHb9fqqUagRNQJVSSsWE5bMqk0+AjYn6VZxK1aUjDLtH0zmgSimlYmJYV1+1AcuM5I71BquUqpsmoEoppWIiOc7HxGOCpMSH6J5Yyjen63fBK9VZ6BC8UkqpmDlrBz+ZWVMB2LHnkbENRqk2rKOtONUeUKWUUkop1ao0AVVKKaWUUq1Kh+CVUkrFVJntw2d1tAFGpZpXR1sFrwmoUkqpmPn3txHuXXgwPhzeWRDh2OG1fSGnUqqj0QRUKaVUTGwqsXnx60JOnbuMkrgA59mDOfbfibEOSynVCnQOqFJKqZhYkRfh+BkLmNOnG2vSU/jLLwtiHZJSbZhV49a+aQ+oUkqpmEgMRXh5j1EUJrjX/8xO0d5PpToLTUCVUkrFRHFcgMKEqvtrMlJiF4xSqlVpAqqUUip2HAcsCxyH4qC+JSlVF10Fr1QHZ4yZCIRF5LxYx6JUR5ZWVE7XDWXkhACfxdBICOge67CUUq1AE1DVaowx44HJItJif3fGmB7AfcC+QFdgLfAccJeION4xE4HTgLKoov8WkcdbKi6l2qvSsENCoKrnpTziEPSBZVk4jkN5BOIDFhHb5obvHX5c7XDStnDRTtVf5jPW2ny02GFEpsUp27nrXx2fxaZS2+0BtR02hRt2LdBwWYRAfAMv11RaDglR3zFv2xC2Ia6F3/5qttvS5VTDlYXc37/VvnoUO9qVcjUBVe2KMcYC/CISruOQFGAucBOQBYwCPsFNNh+IOu5F7eFUqm7FIYfD37OZusJhl17w5Ql+HhCb26c5dE2EB/b1cfXUCGsL4dRRFu8vhmLvVfntSnhnQZivTwpQWO6w35sRZF1FzQ5vznP44Fg/BfEB7Kg2S/31X5jFcRz+d9UMFn2wnNT+yfxl4l6kDaxj3ujaXDjoPzB7BRyxM7x3JXw3D45/EApK4M5T4KoW+O753CI45Fb4ZSGM3x4+vQ6S4luunGqci5+BxyZB30z4/AbYfmCsI+q0NAFVW2SMOQ63B3G4d/9W4AZgqIgsMcbsCnwF9AcmAnsCScAi4GoR+coY0weYBPiNMYVe1f8QkReNMQNwk8O9cT/kfQz8U0QKvPYc4HLgDNyEcj9gWm2xisgS4K6oh2YbY94AxlM9AW3M+V8PnAkcDoSApcAE4GpgIPAtbo/q1cA5gA3cJiKPNaU9pdqCV+Y6TF3h9rlMXwt3/WJz9y/u/Q0lcPk3NhuL3GNf/dMBX/XepCkr4Lf1Dt+tdKKST9eHix3WFTnYlgUZCZBXBj6L4szkemNa+/MGFn2wHICCFUX89sR89rlrbO0HP/SZm3wCfPIrvD8d7vzQTfQArn4Nzt8fMupvs9Ge+sJNIgGmzoaXp8LfDmm5cqrhflvqJp8AqzbCjW/Ae1fHNqZOTK8DqhpiCjDESxQBDsJNLg+Muv8tbuL1HjAMd/j7deBdY0x3EVkNHApERCTFu71ojEnw6p8LDAZGAv2A/9aI4VzgJNwezpkNDdwY48NNPn+vset4Y8xGY8wCY8y9xpjNulGMMUFjzPPAYcCeIrIwujxuwjwAGAT8DCwG+gBnAw9FPV8tpqCgQLd1u0W2E2t0T6QGwR/1dZlBy2ZL7LKizeoB8FkVw/hAajz0TYU+qZBQdXBtsfkTqg+7O3677uMTawxjJ8URiasq7wT9EPDX2VaTtxNr9FomxTeobGnNryL1ej/byt9Dh9iu8TcRCvrqP74J2y3Jwap2a+8sx+loswpUSzDG/AI8CbwDrAQuBQ4XkRONMd8A74vIw7WU2wCcKSKf1TYH1BhzAnC3iAyNemws8COQJCIRrwf0LBF5qQlxP4Sb+O4qInlR9a8EsoHtgBeAxSJyird/IpAMdAFygdNFpNTbNwi3B3RXEZnuPXaP91yMimp3PXC+iHzY2JgbSV/AqkVEbIe/fWXz2RKHffpZvHioj1f+dLjlR5teyXDvPj6u/dZmeb7DuWMsJq+A2dnu9MqEAFy7u48rjY9QxOG8L2w+WeJQGobkANy3n48zR/n4Y02Y0S97vaeOg2U72FfXP//x1//OZf5bWWQMTWX8g7uS2LWOYerCUjjtEZAlcMJu8NBZbo/omY/DpkK4+1Q4ac/mf+LKQjDhEfjfXPjLTvD0heBvwHzVppZTjfPAR+5tcE94/Qro1625W2ixzHC69WS1//e7OBe26yxUh+BVQ03G7fHMAX4CPgPu83oO9wD+YYxJBO7F7THshtsjmkr9y1oHAwOMMbk1HneAXsAq735WYwM2xjyAm3weUJF8AojIjKjD5hhjrgCmGmMmiEjFwqRxQDqwc0XyWcOaqO3iGvcrHkttbMxKtRV+n8Wzh1RPgM7dweLcHap6jX44o2r75jrqCfotXjys9kTK70QN3VsWTgPeTne+bCQ7XzZyywemJMCHV1V/bIcBMPOu2o9vLvFBeP3K1iunGufKo9ybijlNQFVDTQZeAzYCX4nIemPMKty5mTkiMtcYcx2wD3AAkCUijtcDWvG2UtuY3TJgQXTvYR22PN7n8Ybdn8JNjPcVkbUNrDv67e8T3GH7b4wxh4hIzSF8pdRWKvd6PitXI2t/vlJ16mgvD50DqhrqByANdyHQV95jXwNXeT/x9pfh9pLGGWNuBDKi6liLuwhpcNRjn3jHXmuMSTXGWMaYvsaYY5sSpDEmALwKGGB8bcmnMeZkY0yGtz0MuB/4qGZPp4g8Avwf8LUxZo+mxKOUqpsFEHIg4rhj9zolTKlOQxNQ1SDe0PT3QCkwy3t4Mm7SOdm7/wDunMnVuAtyiokaOheRBcATwC/GmFxjzBkiUgzsj7v4aB6Qh5vQ7tjEUPcCTsad25lljCn0bpOijrkQWGKMKQK+xF1Rf3Yd5/0CcBHwqTHmgCbGpJSqhd8GgpabfNoOvpoLcZRSHZYuQlKqfdMXsGq3Fi8rYftnI5R6i216lZSx5u6M2Aal1NZpsYVB06ynqv2/3935W7tehKQ9oEoppWLClxpXmXwCbIoPxjAapVRr0kVIqt0xxszBvQB8TcsasJhJKdVGDOrio18qrPQuo3jodvqWpFRnoa921e5okqlUx2BZFn/8PYGrXv2d5ECYB06q41uNlFId4uLz0TQBVUopFTMZiRZH9XS/MtPn61hvsEqpuukcUKWUUkop1aq0B1QppZRSqo3raJc80QRUKaVUzNiFZXT/IptIsh/nCAfL0mF4pToDHYJXSikVE47j8MPB7/H4stG8NnMYWRd8HuuQlFKtRHtAlVJKxUTZygLOHLsfWV3SAFiyOItJWyijVGfV0VbBaw+oUkqpmFhFsDL5BPi1Z48YRqOUak2agCqllIoJPw6ZJaWV9zPLymIYjVKqNekQvFJKqZgoDMaxsVsAQjb4LJb07hLrkJRqs3QIXnVaxpjxxphwC7cx2Rhzc0u20YAYbjbGTI5lDEp1Bo4FPYrK2H11HmZNHnGRWEeklGot2gOqOhRjTDzwMLA/0AvYBLwJ3CAipd4xNwPXA6VRRR8TkatbN1qlOje/47DtukJ8QHwEhmUXAkmxDksp1Qo0Ae0kjDFBEQnFOo5WEAA2AEcCC4F+wHtAPHBp1HFTReTA1g9PqbYpYju8Od+hNAynbmeREKh/uO/DhTZrCh1O2s5Hl4SmDQ06TvVBRZ9T/6W2F26I8OWCCNuu2UDf0lIGHtSbpB6JvPdJLl++l4NVXI6TX8Qp+ySy7zWjCP+6ikWP/MYnQ4cxPjMH48uHk/aCLilVlb73M2Tnw0l7wsZCmPQbjBkIe4/AcRzmfLeJ0qIIo/dMJe69HyAYgFP2Br+/SeesVFPphehVm2KMSQFuBo4DugMrgL8BtwG/AYNwewPvMMbcB1wLTAC6AL8Cl4nIbK+uiUAQsIGjgWzgNhGZWEfbBwB3AMOBMPA1cKmIrPf2TwVmeDEcDKwHrhSRD739FnAN8A/cbo8Xoer9yBjTBXjaiz8A/D979x0fVZU2cPx3J40WmoAoHUSxt8deF5C1944FUdeua3/t2Ne+61qwo2LvimJBZZVV1MeCLhakF+lS0iDJzH3/OCdkMilMQpLJhOf7+QzcueXcc+/MZJ55zjn3zgXOVtXPqzsfqloAXBM3a5aIPAacW902ayMip+HO51Gq+pWIhMAFuPO4OTAJOBY4BrjEH8tIVb2m6hKNaXrO/DDGU/9zX3Ev/hrw4THVB1i3fBHlugkxAB74Psa3p2SSs5aAtSphEDCtY2v6/llANBIws33LatedvjSG3F/Adr/M5ZTvf2UWMOmR39jq0X0Y8/xiWq9ezWETlI4r83h7Xl969MwkcsbzDDn/XE75z6fIuJddQQ+8B9/eDTlZcP2LcPNrbv6/3oWF+S4IDQJ441Len9+FiW8tBOCH+5dx+vsj3R+ojybB0xdWVU1jTJKsD2j6ewLYBRgEtAUOBeb7ZcNxzdHt/P+XA6cAB+Kapz8HPhKRtnHlHQt8AHTEBbIPi8ju1ex7NXA+LvDdGtgY+FfCOqcC9/g6PAA8LSJlbWwnARfjgt2uuMzl3nHbXo4L5noB7YEjcEFobQ3CBYnxdhWRJSIyQ0QeE5HOVW0oIjcDVwJ7q+pXcYtOAg7HHfsq4BNcUN8PFzBfJiJ71KGuxqTEe9PL8ysfzQopjlafb3k3bt3JS2Dmirrts21RCXkR6Ll4Np2WLyAai1W77oSZpaxcDdssWLJmXsEfRXwyZhERYPf/TaHXoiXkrlrN0B9/YdobM/itU2fmdOjAQb99X17Q5Dkwc5E/kO/K5/8yzwWfAGEI733PlG+Wr1k8hw4UZfkAeYzW7YCNMWtYAJrGRKQLLmA8W1VnqGqoqlNVdapf5VVV/cTPLwROA+5Q1V9VdTVwExAFDoordqKqjlbVUlUdB7yGy/RVoqoTVPUbv+4C4E5csBfvJVX9QlVjuGxmO6C/X3YK8IiqfquqxcDtwIK4bYuBDYDNgEBVp6jqjFqeo78D+1AxK/oKsAUueBwIdAPe8hnZMtkiMtpvu7uqTk8o+h5VnevP66u4AHqEqhar6iRcwCu1qWtd5OXl2bRN18v0LhuWjwDaoXOM7Iyg2vX37Fb+UenZFjpE8uu230jA2Eee4t43xvDYi6/x79fGVLv+Tt0zyMmEqRu0XzM/p30WW2zeim/b5xJJCF632KkjmyxZQqf8fCb03qx8Qc9O0LOTK3/PAeXze3SCVtnlz/fcjI02bbHmaefoClqUFAFQsmv/NfObwmtn001nuiGFBBUe6c6a4NNbb///lGqWz0x43gNYE8CpakxEZvr51W0zE9ihqsJFZEdcE/y2uExlALRJWK0sG4uqFogIQK6f1T1+f74+s+K2vQvXJeBpYCMRGQNcoaoLq6pPFfW7GJe9HKiqs+P2MzlutRkiciYus9oXmObnbw7sBgxR1T+rKH5+3HQhsMgH2fHzcmlgubm5Nm3T9TL94qHZPDzJ9QE9d7uMGte/Y98Im3SABQUwfOsIXdrWbb85JcVslLeCZ3fcnrarVrHNHwuqXX/zXPjs7NaM+WVTcqe0YZPSVfQ7rAdte7dh2KSZvLJNfzZaupSuy/Pg6M3Z+PKdKNmqHWMe/pRXd96FL3bfkN1b5sPwQdAyh1xy4N5TYUA3WLQSzhwEC1bAm9/Adr3hyJ05siRGzwGLWVUQZae9NiUyeihkZ5J17v6N9rrYdHpNm+RZAJreZvr/+wM/V7E8sT1rDuVBKyIS8c/nxK3Tm4p6U32z94u47N8xqrpSRA4G3llrrcvNS6hPgGtuByr057xGRLoCo3FB6SlrK1hErsN1IdhHVX9by+pl5yn+J+Uk4CHgNRE51meDjWm2WmYFXCLJZVUiQcBZcUFqXS1v1ZJjhp/KTxt3BeDAX6bwbg3r79wjg517ZMCQvhXmX3R1Hy4oDYlkbktYGiPIdI172Qduxi4HbsYuAGxZucCMDDjnr+XPN+4IO/RZ8zQzK8Kuh21Yvvyqo2p3gMaYalkAmsZUdZGIvAo8JCLDgFm4PojVGQVcISKf4YLXK3Hvgfi/+buKyAnAy7jm56OA6kaLtwVWAHki0hM3oKg2ngXuFJE3gJ+Ay3BN2QCIyCHAVFyGNx/X13KtVwoUkbtwXRP2UdVpVSw/EvhcVReLSDdcoPkt5dlPAFT1dREpAF4WkdPKBk8ZY+pHcSRYE3wCvD9gkzqXFfGDoMqCT2Oam+bQ7B7PPqnpbzhutPt/gDzgLeKCuAR3AS8AHwILcf0fh6jqyrh1XsYNUlqGG+B0nqr+t5ry/gac4ff7Oq5vZW08A/wblzVdCHQBPotb3s8vW4kLmItwQXO1RKQX5YHsJBHJ94/4ZvejgMk+uJwILAUOUdVKoy5U9QPcIKknRWRoLY/PGFODsOzfjAAyAmJB8/qCNcZULwjXct01s/7wl2EqVdUzUl0XkzT7AJu09b/5JezwRCklGa4xrtefi5h5V7cU18qYddJgv6L+EzxZ4e/9PuHwtP7FZhlQY4wxKdG1MI9oUP411KakOIW1MaZpCxMe6c76gJq0IyJjgb2qWqaqiaPwjTFNVNsubbjlw5e5YfBRtF1dyFX6CXB6qqtljGkE1gRvTHqzD7BJa/97dDLLb3mHaE4W/UafTPdduqS6SsasiwZrFh+f0AS/b5o3wVsG1BhjTMps9bcteXvD6QQRLPg0pgY2Ct4YY4ypR4F9Exmz3rGPvTHGGGOMaVTWBG+MMcYY08Q1tw7/FoAaY4xJnWf/w5DzXybaIhM+3Aa27bX2bYwxac+a4I0xxqRGwSpipzxMYV5boouzie57U6prZIxpJJYBNcYYkxLFvy1mcs72zM3qThDG2DL/F/qkulLGNFE2Ct4YY4ypB6VhBnOzugMQBhGmtOyX4hoZYxqLBaDGGGNSIyPKquzyhrg/OnRIYWWMMY3JAtD1mIhcLSLv1GL9USLyeB32E4rInn56LxFZXotth4nI1Nruc13E19cY04CyM/h5QCe2Wv0z/UunMrVfO8JYLNW1MqZJCgkqPNKd9QFdj6nqbfVZnojsC4xT1WrfV6r6OdC+nvcbAnup6oQk1m0JPANsB/QDrlfVW+qzPsaY5LTMyeSKL56hJXlQApf9ZwHk7Q7tWqa6asaYBmYZULO+CYEvgL8BX6e4Lsakj2gUJv4G0xfUW5HhsgIXfHq5sWUEFnwas16wDGgzJyIzgUeBQcAuwEzgb6r6hYiMAPZU1cF+3a7AY8DewELgDuBxoI+qzvRF5ojIY8AxQAFwk6o+IiIbA2OBDBHJ9+uep6pPJ9RnX+KypCKSBdwJDAViwL244PAWVR0Vt92FwBVAa+Bl4FxVjYrIJL/KhyISA15U1TOqOx+qugq4z5e5Konz1xl4C/gZOBu4FtgLUGA47kfcrcBrwFPATsAU4CRV/WVt5RvToB7/GB7+EDbdCEb+Ddq1Kl82RuGml6FLOxh5FnTvVG0xYXEJ4aZ/JzJrvrsY9tF7Ejx1LuFZjxN+9DPFOW1h2L60uHn/CtuVzlnJ0rM/ILq4kPY37EGrgzapsDwSK6WYFmT6XEhhRiZt63CY4Y9zCC8cDdGQ4N7jCXbqW/MGz46Hf70LfbrAyLNhg1xiYciV/4nx8eyQwb0C7tg7QhA03WbO536Ocd+3MXq3DXhkSIQNWjbdupr60dw6p1gAun4YDhwG/ArcDTwN9K9iveeA5UAPoAUu0Et0NHAccBZwOPCSiLyvqrNE5ABccNmmFnW7CjgA2BWYjwt6E69E3QvYENdk3gOXufwMeE5Vt/VN8EOSaYKvDRHZFHgXeLqsmV5EwAXoLwBdgSHAGOBA4DxgKi4QvR/Yrz7rY0yt/DwX/vYohCF8NwM6t4X7h7tlywvgmLthVbF7fs6j8M7V1RYVvfkdMmfNByAAwle/JIwFBK9/TQC0YBn5t7xHyQ7dyDpi6zXbLT3rfYrGTgdg8TFv0mP++UTatVizvCgzh0ikJcSiABRmd6hbAHrsg/Cby8yGRz5AMOfe6leevgBOewCiMfh2mgvKHz+PZyeH3K3uXjPfLwrZpnPISVs0zaBu5oqQU8fGiIbw7cKQtjkxntw/I9XVMqZWrAl+/fCIqk5W1Sguo7mJiLSLX0FEugMDgctVdaWqLgJurqKsT1T1bVWNqerruIB1u3Wo2ynAnao6XVWLgCup/EOvCNdXc7WqTgU+BmQd9pmMvYH/ACOq6CM6RVUfV9Woqo4FlgIfqOovqloCPN8I9QMgLy/Ppm26yunC2Qtc8Flm0crydfKKyoNPgEUraiwzXBWrMOghJEL0jz+JFxAjXJRfYdviBfnl2xSVEssvqVB+EAZk+eATILe4fP1aHe/i8nksXlnz+n/mu+Az4dgXF1U4HBYVNo3XsarpP1dBNO6l/WNlaZOp2/o+bZJnAej6YX7cdIH/PzdhnW7+/9lx82atpayy8hLLqo1u8fvxQejihHUW+eC5vvaZjAuBycBLVSxLPAeFCfMKafj6AZCbm2vTNl3ldKv9doCDd3BPOraByw8tX6dHJzjnr25Zy2y44dgay8y8aBDFXXoSJYcoLWCbvmTcdwrhBm69UnIIt+lN1vHbVdh2g5v2JmjhGtpyz9+BzG65FcrPCouB1X7tkKxoQYX9Jjsd3HoURAIIAoJbj6p5/R37wdG7uRntWsH/HUlubi6nbhkwoKObvXlHOGWLoEm8jlVNb98Fjt3M/SBolwPX7ZHdZOq2vk83pDASVHikO2uCN2Xm+f97AtPjpmujLl1U5hHX5O5HqXeuZRnh2leptWG4bOxrInKsqq5ey/rGNC0ZEXj7SpizFDZoA61bVFz+0Flw9VGQ2xLata6xqKB7B7Jn30k460+IhAS9OxNkZsDsfxP+sYxIJJPWPTu4eXFaHbwJPRacTyy/ZE3wGS8WZpDJaqAYl1etWzNycPZAOEogFhJs2G4tKwfw8mUwZ4kLzNu4QU+dWwX8eGoG8/KhWxvIymi6X/BBEPDSIRnctU9IxxbQJrvp1tWY6lgG1ACgqnOB8cA/RCTXD765tpbFLMANQqrN3fSeBS4XkT4i0gK4ndq/LxdQdZ/WKolIjt9XBMgUkRZ+MFS8fFzf1EzgXRGp+RvamKYoCKBnp8rBZ5nundYafK4pKieLyKYbEtmka3mg2SqHYJOuRPp2qhR8lom0a1Fl8AlQnB0hgDVXNVzWou6ZpKBz27UHn2tWDqBn5zXBZ5msjIDe7YImHXzG69k2sODTpC0LQE28E4FWwFzgv8Arfn5S2T9VnQI8DHwtIstF5OQkNrsd+Ag3sGgmrin7j2T36V0D3CQiy0TkkSTW/w3Xr3Qv4AY//VjiSn7E/OG4Pp4fiUj7WtTJGLMWc9p3Yujx57Plpfew6/m3cMoJ56S6SsY0WWFQ8ZHugjBsiNZL0xyIyF9xlyBqqaqN8kYRkTbAMmAfVf2iMfaZ5uwDbNLWkv8tpPPYji4jCeSUlLDqKrsOqElrDRYavp/5TIW/9/uXnpLWYaj1ATVriMh2uH6cPwF9gFuAlxoy+BSRjsDOuJHtrXDX6JwJfNNQ+zTGNA0rW7RYE3wC9Fi+FOieugoZYxqNBaAmXgdcU/RGwArcheUvbeB9RnCB7itACe4C74f6yxnVmoj0xF00viqjVfXsOtXSGFPvehcs46b33+f6/Y+iVfFq7n37ebjjilRXy5gmqTmMfI9nTfDGpDf7AJv0tbqEsNVJrMxqQ3Y0SotOWQTzK3XHNiadNFiUODb72Qp/7w8oPjmtI1IbhGSMMSY1crIIPriaSOcYRf1yCCbemuoaGWMaiTXBG2OMSZ3B2zL+oSMBOKRXlxRXxpimK2xmKcNmdjjGGGOMMaapswyoMcYYY0wTF6bJDRKSZQGoMcaYlInGQn4o2IDWkdJUV8UY04gsADXGGJMyO42O8v2inQGY80kp9w20ryVj1gfWB9QYY0xKzFoR5ftF5c/v/y51dTGmqYtFggqPdGcBqDHGmJRYUFDxMraxFNXDGNP4LAA1xhiTGnYbBWPWW9bZxhhjTGqkfyuiMY3GrgPaCERklIg8Hvd8sogc18h12EtEljfmPpsjERkpIg/UU1kzReSk+iirDvtu9PegMc1daG3uxqy30iIDqqpbNmT5IjIC2FNVB8ft83OgfUPuN1VEZF9gnKo2+Ouvqmc39D4aQ7LvQREZBlyrqps0bI2MSX9Bk0yBGGMag338TZVEJENE7P1hmp6f58DMRWtfbz23sCBk0qKQ0ti6dbQsiYb8sChkcWFy5eQVh/x3bowv5sbIK17LNlVkQEtjrt4LEwYorSoN+X5hyJd/xJi5onK5iwtdPUuibtnK1W79grXVwZg0EUaCCo90l9IMqIi0AUYARwKdgTnAWVWsNxOXVRpdlr0DTgFuBroCrwHnA/cARwMrgYtV9XW//bbA/cCWQAYwEThfVaf5ZtWrgYiI5PtdbgP0JC5LKCIBcCZwAdALWAHcoarVNi+LyCXATXGzMoAWQAdVXS4i+wB3AgOA+cB9qvqI37bsOIcCtwGdgA+A01U1z6+zgd9+iC/3U+ACVV1YQ502BsYCGXHHex7wH2AGcAZwKdAP6CUiOf7c7QEU+XN9laoW+fJC4GJgmN9GgTNVdapfPgooVdUz/PPOwD+A/XAZ5qnACar6m4hcBJwDdAOWAc/hXvdodcdTzTGOB74D+gCDgUXA33A9zv6Je20/Bk6JO5e91nKcMyl/D3YAHgUG4j5Dc4GzgVJgJJAdd24PVtXxtam/qcGFj8O/34NIBB48E87+a6pr1CR9OjvGwa/HKCyFQT0Dxh4VIasOd1FZXRoy+JUoE+ZBmyx4/+gM9uhWfTmzVoTs9nyU+QXu+UatYeLQDHq2rWabKmYf8FqMcbNCWmXCO0dGGNgzwsrVIXu+EOWnJW6dSAAPDopw9nbuN/IX80L++mqU/BLYsxs8/tcIA1+O8Uc+9GsPX5yQQZfW6f+FbUxzkuoM1xPALsAgoC1wKC4QW5sMYF9ga2BzYH9cUPkmsAFwO/CkiLTy64e4QLcb0BvIB0YDqOpLuABvvKq28Y/pVezzbF/GObjAaXvgq5oqqar3lpXptxkPvAGsEJE+wPvAw77Ow4DbReSYhOMcAmwLbOr3eSGsCYjf9Me2FS4ozgOeX0ud/gAOAKJxx/t03Con4gKrXFwQ+C6wwJe/Ky5Auzuh2L/hAv8uwGTgbRHJSNy3z6i+7c/FTv7/Yb7e4AK5A3DvhcOA4biAuC5OxgW67YGXgGd9PffGvQc2o/xcZiZ5nGUuB1r5ddsDRwBzVfVL3Ptkety5HV/H+ptEBatc8AkQi8Gdb6a0Ok3Zv74LKfQ3Fvp4dkj1P0lrNmFeyIR5bjq/BB78vuZOm8/+HK4JPgHmF8Bzv1SfgQyrWDRulptZWAr3f+emx0wP1wSfALEQ7vymvC4PfB8jv6SsznD7xJA//E/AacvhlSmWBTWmqUlZACoiXYBjgbNVdYaqhqo6tSxzloRrVLVQVWfjArsZqvquqsaAZ4B2QH8AVf1RVT9V1dWqugK4Edg1LkBNxgXArao6QVVjqrpEVb+pxfYjfZ2GqmoInAB8p6qjVLVUVScCj1A54Po/Vc33Wc03AfHzd/SP81R1haoWAlcAA0Wkey3qlehGVV2gqsW+/P7AJapaoKrzgGuB4T4ALnOPf+2KfB364X5YJBL/GK6qC/15/NEHxajqa3Hvhe9xQeOgOh7Hy6r6lc+ejgY2Au5S1T9V9U9gDOXncuckj7NMMe5Hw2ZAoKpTVHVGHeu5TvLy8taf6RZZxDrlrplfunH7plO3Jjbds/w0kRWBNmFB0tvGT3drE5ARlAdvG+YU17zftlTSI7f69Su3IoZkxX0rlW3bKaOoynKr2m9GAL1ar066DjZt0/U53ZDCoOIj3aWyCb63/39KHbaNquriuOeFuGZ3AFS1UETAZfEQkX7AXbigKJfyq891BmbVor51qSsicj2wF7B7WZMu0APX5B1vGi7zVybxOAvwx4RrXs4BFvpjLbMK18Q8ty51BWbGTfcAFqtqXE6Dabjm/s64pu0K2/hzvxioKgjuDSzyPwIqEZETgEuAvrj3ZjYus10X8Zn0wmrmlZ3LZI+zzF1AFvA0sJGIjAGuqKnrQ0PJzc1df6YzMoi8fz1c9wK0aUHmPcOaTt2a2PRte0UojsWYthzO3S5g625t6lTOgA0Cnjsog8d/CtmsA9y2T4sa1z95i4CZKyI8+3OMEBi2ZYSTtohUu37l7qkBLx0S4aEfQvq1h9v3ctsO2bQ1I/eL8cSPMZaugh02DLh338iacm7YLUJBSYxflsIZ2wQct1lLIlkhn80NObBPwKGbVF8Hm7bp+pw2yUtlADrT/98f+LmB9zUS+APYRlWXishWwE+U90BK5mIgM3F1/ag2O/ajos/FBZ9L4xbNAQ5MWL2vn5+MWbiAtKPP+tZGTevHL5sDdBaRVj7DWlbHVUB8YNy7bMJnlTtTdQA8E+giIm1VdWX8AhHpgctUHgmMVdViEbmb8ixlQ0r2OAHwgeo1wDUi0tXX+y5cv2S7sExD2rEfvHdtqmvR5LXJDhi5X6VeMHVy3IAIxw1Ibt0gCLh+94Drd0+yca2K1Y7oH+GI/pXnn7VthLO2rbrcllkB/x5U8Xhv2L0ZpIiMacZSFoCq6iIReRV4yAdps3BNtw2hLfA7sFxEOlFxYBC4vn89RSTbNz1X5UHgahH5Htf3syPQp6ZmeBHZDzfoZb8q+pW+AFwnIqfg+m3ugBuAdU6Sx6TAJOB+EbnBB9adgUGq+uJatl2AG4TUZy1Nx1/jBgndIyKX4vo73gw85bsRlLnYD/yZh+t3OZ2q+8cqbnDQ4yJyPrAE1391CdAG93W0GCgRkV1x/Th/Wcux1IdkjxMAETnErz8F1594FRD1ixdQTZBtjKkoYl0zjUlacxj5Hi/Vg5CGAz/gRmDnAW/hRrXXt4txTeArgc9x/f/ivYLLgi0QkeV+gFCih3CDm57w5XyHG0hTk6G4wOpTEcmPe7Tzgd+BuNH7S3H9Ha9T1ZeTOSCf9TwMl8X9VkTycM3V+yax7RTc4Kev/fGeXM16pcDBuOb02bhA7SvgsoRVHwdexwWP2wKHVTVy3df5ENwo8x+A5cCTQBtV/QW4AfceWA78Hy5Ib3C1OM4y/YB3cO+DmbjjudIv+xSXJZ/hz+0+DVdzY9KbNRcYs/4KwqqGIRqTJH8Zpr1UdUKq67Kesg+wSVtfzStl14SfmeFlaXF/FGOq02Bpyjc6vVDh7/0RS05I65SofdKNMcakRlp/fRrTuGLN7PNiAeg6EpGxuOb9Svz1PxudiPSk+oFdozXNb48pIlfjbh5QlQPU3UbVGNPEbdAywJL4xqSnIAj2A44HuoRheEgQBAK0DcPwk6S2tyZ4Y9KafYBN2grDkG4jy++cdEhfePtIy4uYtNZgecrXOldsgj9qceqa4IMguAC4CDcG5KowDNsFQbAl8FgYhrsnU0aqByEZY4xZTwVBwG+nZ3BWl8lc2vUH3jqifi4dZUxz1MTuBf93YHAYhv+gfDzhr7gbtCTFfmoaY4xJmdzsgIM6zAZcQGqMSQu5lF+3vCwzm4W7U2BSLANqjDHGGGNq4zPc5RLjXYi7FGFSLANqjDHGGNPENbH7v18AvBMEwZlAbhAEv+Gu535wsgVYAGqMMSZlvpkf48pZu9A6o4RdCkK6tG5a37LGmMrCMJwfBMFOwM5AT1xz/NdhGCZ9fwkLQI0xxqRESTRkj+dKKaEjAHuMWsXv57VMca2MMckI3WWUvqLqW2+vlQWgxhhjUmLaH8WUUD7yfVqhfSUZU52wCQ3SC4JgDtVcBjAMw57JlGGfdmOMMSmxqrTi95dd1NaYtHFSwvONcNcFfTHZAiwANcYYkxJFWfYVZEw6CsPwP4nzgiAYD7wP/CuZMuwyTOsBERkqIpNSXY/6IiJTRWRYA5Y/UkQeaKjyjTFeLCSjtHzMQvbq0hRWxpimLRZUfDRBq4E+ya5sPz/XA6r6HPBcquvRFInITOBaVR1dNk9Vz05djYxZf2QCGy7MI79NDkEY0qKwBLBBSMY0dUEQ3JQwqxVwIDA22TIsA7oeEJGsVNehKk21XsaYxpERQkHrbNqvWEVu3mpWtmuR6ioZY5LTI+HRArgXODXZAiwD2gz5rN6TwF+AnYBbROQMVd3EL88CLse9UTYGFgFXquqrfvmZuM7EPYDpftmHSew3BC4GhgH9AAXOVNWpfvl44AegNzAQuE1E7gau9tt0AL4DLlLV/8XV9Q5ch+cYcF/CPofhMpibxM0bBZSq6hn+eW/gLmBPXHplMnAoMAp3/bLHRWQk8IWqDqli+17A/cAeQBHwGnCVqhbFHfd5wGnAAF/+MFX9dW3nzJjmJL845K5vYuQXw8USoXtuXDvhe9/Ce9/BnpvD8XsCsDozYEXrHFZkZUEAZNecE/ngh9V8OaWYPTbLZr9tcyotD6csIPbQeIIN2xJcsh9/FGdy37cxWmXC5TtHyM0O+H5hyFP/i9G3fcAF2wdkpP6e2jX6Zn7IMz/H2LRDwHnbB0Sa0Eho07iawP3f1wjD8LR1LcMC0ObrTFyQ9QOQ2KR8C3AIcAzwE9AN3IX4fPB5JXCUX7Y/8LqIbFcWSK7F3/x+5+GCvrdFZGtVjfrlw4HDgSNwweDlwCm41P0M4CrgIxHZTFVX4m71dTCwuy/zXqBXsidBRFoBn+CaBQYABYAAxap6SFVN8AnbZwLvAv/1+20PvAncjQs6ywzDnbOFwGjg38B+ydbTmObglLEx3vjdjWUfMz3Kr8Mz3P3dv/wNDrkdYjF4cCzkZMIRuxJGQ4LVUXd5mRCyi4qB7CrL/uyXYs57YiUAoz9fxTPnt2P3zcrXDQtXE933Lpi/ghAIZi9l0E4n8NufbvmPS2I8sl+EfV+KsrIYIGT5qoARe2RU2ldTMS8vZODLUfJLAELySyJctUvTCULM+iUIgoHJrBeG4SfJrGdN8M3XY6r6vaqGuKwdACIS4AKny1X1R1UNVXWuqv7oV7kIuElVJ6lqTFXfw93b9fgk93uPqk712cErcJnQXeKWv6qqn/j9FuKyhneo6q+quhq4CYgCB/n1T/HLy8q8jNpdreVgXKB7kaquUNVSVZ2oqnlJbr8z0B+4RFULVHUecC0w3J/LMnep6mx/DKNwQW6Dy8vLs2mbbjLT3y0s/2hOWQbz/8x3T76f7oJPb/WXrnEgp7SEjFh0zfxeyxZXW/7kORUHKP08t7TCOgVT5sH8FeXbTJq/Jvgsq9uPfxT64NPPW1R/x94Q078tC33w6Xw9ryTpbW06NdPN3BNJPB5PtjALQJuvmdXM7wy0BqZUs7wP8KCILC974Jryu9V2vz7AXAx0r6FePXCZz7JtYn6dHn5W94QyC3BdBpLVG5iuqnUdXtsDWOz3W2Yarr9L57h58+OmC4DcOu6vVnJzc23appvM9HGblf8mO6BPwMYb+HX+uj20b+2mW2STc8weALQKS/jb958QCWNkR0sZ/sP4assfuFU2rXzCs3VOwD5bZFdYp/VWvWCXvmuetz16Ow7qW16f4zYL2L1XKwa4my4RAMf6+qb6vFU3LRsGbNK+vL4nbJGV9LY2nZrphhQGFR+NLQzDPkk8+q69JMea4Juv6u7HuhgoxGX1fq9i+SzgBlV9pY777V024Zu/OwNza6jXnIRtIv75HD9rXsLy1lQM/PJwAXW8jYHZfnom0EdEMuK6AcRb231r5wCdRaSVD6gB+gKrcOfSGOPdsU8Gg3rFyCuGQ/vFfUP26wo/3AP//RV27Aebud+zy3Ja88ieQ4hlZFIM3DH4CP6vmrI32ziTd/6vI5NmlbBd7yx6dqrYdB5kZpDxyaWEY350fUD32Yw3oiHvTAtpnQV/7ePyLV+cmMEHM0P6tAvYZaOm3ZzdNidg4tAMPpoVskn7AOnatOtrTG1YALqeUdVQRB4C7hSR2bgBM92Ajr4Z/j5ghIj8DkzCZfp2BJYkOajmYj/YaB7wD9wgppruEzsKuEJEPsMFi1fi3pfv+uXPApf7Mv8A7qRi5v4HoIuIHAy8BxwG7I3rh4kv507gPhG5jvI+oJN9M/wCXDBena+BqcA9InIprg/ozcBTvnuDMSbOkN7VNKz16uIecSJANFIeSC5vmfhbMqGIzhn06lx9n82gVQ7BsTuteZ6VEXDkphWDtg4tAo4fkD6B3AYt06u+Zv0QBEFbYASwD9AJl6QHkr8VpzXBr5+uAV7GDabJA8YDmwCo6mO4gO0pYBkuk3gdkOwlkx4HXsdlB7cFDqsm81jmLuAF4EPcAJ6BwBA/AAngduADYCKuqX42LkuLr+80XL/VR4E/cYOmXotbXuDL7IHL+C7x+yw7nluAk0RkmYhUun6Zb7o/GNcVYDYuIP0K1xfVGLMO2hcVgI3qNiYpYRBUeKTYQ8AOuHEbHYELcN+R99W0UbwgDC2JY+qHvxzRXqo6IdV1WY/YB9ikra/mlLDrC0AkgDCEEMIr7PLAJq01WGT4XM9XKvy9Hzr7mJRFoUEQLAI2D8NwaRAEy8MwbB8EQTfgnTAMd0imDGuCN8YYkxKxAPcTKmq/o4xJMxGg7LIT+UEQtMMNxt2k+k0qsgDUJM03Ue9V1TJVbdPI1THGpLkQyvNFKW9RNKZpa2L3f5+E6//5MfA5rkk+n+qvsFOJBaAmaap6wFqWN62PhzGmSdugZQSIlQeflgg1Jl2cSfkn9yLgNtwg3VOSLcACUGOMMSnRv2OEDVrGWFoEBDCwt/2GNSZNzArDMAoQhuEi4IzaFmCj4I0xxqREJAiYemYmJ3eewrld/8eHRzfd22Iak2pNbBT8giAIHgqCYM+6FmABqDHGmJRp3yLgmE7T2b/9XDIiKf9SNcYkZwiuz+fzQRDMCILg9iAItq5NARaAGmOMMcaYpIVh+H0Yhlf4i84PAzoAnwRB8GOyZVgfUGOMMSmVH80kK1jbXXGNWb+l4v7vSfoV+AV3Ifqa7ixYgWVAjTHGpMxZH5Ry4tT9OPb3/Xj255pummaMaSqCIGgfBMHpQRB8jLvl9r7AHUCXGjeMYxlQY4wxKbGkMMajP7npkAjDx4acvEVq62SMScofwBfA88BRYRgur20BFoAaY4xJid//rNjsXmrXATWmWrHUj3yP1y8Mw/nrUoA1wRtjjEkJizeNSU/rGnyCBaDGGGOMMaaRNbsAVERGicjjcc8ni8hxjVyHvURkeWPuszkSkZEi8kA9lTVTRE6q47alIrJvfdTDGFOuabUoGtO0hUHFR7pr9n1AVXXLhixfREYAe6rq4Lh9fo67J2qz4wOxcara4O8dVT27ofdhjEmdwNrgjVlvNbsMqEk9EckQkfXivSUiWamugzHpqq5ZnB8Xhzz/S4wFBRbBGpMKgXNmEARrLj4fBMHeQRAcm2wZaZsBFZE2wAjgSKAzMAc4q4r1ZgLXqurosuwdcApwM9AVeA04H7gHOBpYCVysqq/77bcF7ge2BDKAicD5qjrNN+1fDUREJN/vchugJ3FZQhEJgDOBC4BewArgDlWttnlZRC4BboqblQG0ADqo6nIR2Qe4ExgAzAfuU9VH/LZlxzkUuA3oBHwAnK6qeX6dDfz2Q3y5nwIXqOrCGuq0MTAWyIg73vOA/wAzgDOAS4F+QC8RyfHnbg+gyJ/rq1S1yJcXAhfj7qLQD1DgTFWd6pePAkpV9Qz/vDPwD2A/XIZ5KnCCqv4mIhcB5wDdgGXAc7jXvVYXFhSRXOAB4BAgD7g+YfkIYG/gO+Bk4DsRWQksUNWL4tYbjntv9FdV+5Y067VbJ8a4bWKM7rnwxmEZbNHJRZ51yYC++XuUI98K1wxgygjc4+pdI9ywe4QFBSGHvhHlpyVwyhYBI/eLEAQBn88NOX5MlPxi+NfACMO2qr/fyK/8FuOsj2JkReDZAyMM6b1e/P42jawJ3P893k247+J/AiP9vLnAfcDLyRSQzp+SJ4BdgEFAW+BQXCC2Nhm4C6ZuDWwO7I8LKt8ENgBuB54UkVZ+/RAX6HYDeuPufToaQFVfwgV441W1jX9Mr2KfZ/syzsEFTtsDX9VUSVW9t6xMv8144A1ghYj0Ad4HHvZ1HgbcLiLHJBznEGBbYFO/zwthTUD8pj+2rXBBcR7uel411ekP4AAgGne8T8etciIwEMjFBYHvAgt8+bviAtG7E4r9Gy7w7wJMBt4WkYzEffuM6tv+XOzk/x/m6w3ujX8A7r1wGDAcFxDX1j9xd3LYAvdj4jDcuYy3N+691gM4CngEOMkH3GXOAB634NOs76YvD7l2QozCUpiyDK74rPzSS7E6fDpu/SqsMHo+GkJxDEZ8EeO3P0Nu/yrGNwtgVSk8+mPIuFlu7XPHRfkjH1YWw98+jLGqnq75FIYhw9+PsWwVLCqEMz+wOzqZ9cIw4OAwDF+k/IIWM4C+yRaQlgGoiHQBjgXOVtUZqhqq6tSyzFkSrlHVQlWdjQvsZqjqu6oaA54B2uFvJ6WqP6rqp6q6WlVXADcCu8YFqMm4ALhVVSeoakxVl6jqN7XYfqSv01Af0JwAfKeqo1S1VFUn4oKgxIDr/1Q132c13wTEz9/RP85T1RWqWghcAQwUke61qFeiG1V1gaoW+/L7A5eoaoGqzgOuBYb7ALjMPf61K/J16If7YZFI/GO4qi705/FHHxSjqq/FvRe+B57F/ThJmg9yhwLX+eNYAVxZxaqzVPUeVS325+5TYClwhC9nc1/XUbXZf13k5eXZtE2nxXSZIG5+5RCwfE515WyYU1ppq/iyE3NERUVFa5bFy8/PXzO9bsdYXg6UD6xqCufcpht/uiGFQVDhkWIZuIQclH9w28TNW6u0DEBxmUiAKXXYNqqqi+OeFxKXOfUBBbgsHiLST0ReF5F5vqn1v35551rWty51RUSuB/YCDilrusZl3mYkrDrNzy+TeJwF+GMC+gA5wEIRWe5H7E8DVuG6D9TVzLjpHsBiVS1IqGMLKp67Ndv4c78YqCoI7g0s8kFhJSJygoh8IyJLRWQFrmtAbV4j/Po5CceReJ4BZsU/8T8KHqP8B8AZwBhVXVDL/ddabm6uTdt0k57u2z7g1j0jtMmCAR3hzn0ia9aJVPoODaotp8xzh+YwoKP78sr0ze85GXDj7hE27Rhw1S4RdtkIWmXCWdsGHDLA5QoeGpxB91xolwOPDYnQqX39HGPbtrk8tX+Eji2ga2t4dEikXs6bTafn9HpkLHBvEAQ54PqE4ro2vpNsAenaB3Sm/78/8HMD72sk7pZT26jqUhHZCviJ8r+UybS3zMTV9aPa7FhEhgHnArur6tK4RXOAAxNW7+vnJ2MWLiDt6LO+tVHT+vHL5gCdRaRVXFDfFxfkxgfGvcsmfFa5M645PdFMoIuItFXVlfELRKQHrlvEkcBYVS0Wkbspz/gmawlQ7Os0LbF+cao6B6OAm0RkU1zf0FNruW9jmq2rd41w9a6V8x11aQRvlxPwy/Dqv7o2bB0wcWjl5Xt2D5hzVsN85R29WYSjN0vXfI4xdXIx7ntvBZCFy3x+iBtjk5S0DEBVdZGIvAo85IO0Wbim24bQFvgdWC4inag4MAhcH8eeIpLtm56r8iBwtYh8j+v72RHoU1MzvIiUde7dr4p+pS8A14nIKbh+mzvgBmCdk+QxKTAJuF9EbvCBdWdgkKq+uJZtF+AGIfVR1aqyg2W+xg0SukdELsX12bwZeCqhX+TFIjIemIcbYDSdqvvHKm7gz+Micj4uWNzK/98GlxBZDJSIyK64IPCXtRxLxR2oRkXkeeBGEfkfbuDUP5LcdrGIvAW86Lf7oDb7NmZ9VDkDaoypTlO59mcQBBm4sRsn4mKkXsCcMAxr1eqXzj/ZhgM/4EZg5wFv4Ua117eLcU3gK4HPgTEJy1/BZfsW+ObsPlWU8RBucNMTvpzvcANpajIUF1h9KiL5cY92PvA7EDd6fymuv+N1qprUyDOf9TwMl8X9VkTycAOx9k1i2ym4wU9f++M9uZr1SoGDcc3ps3EB6VfAZQmrPg68jgsetwUOq2rkuq/zIbjg7gdgOfAk0EZVfwFuwL0HlgP/hwvS6+IiXLP7r7hM9ztApfpU4xHcYK8n65BZNma9E9qnxJi0E4ZhFLg3DMNVYRguCsPwm9oGnwBBGNogXZMa/jJMe6nqhFTXpT74Hx+/47LbyXaHWFf2ATZp64u5peyR0OYSXpaWDXPGlGmwPOVjm75R4e/9mVOOSFlONAiCZ4GXwzBMus9nIvukG1MPRCQTN2L+jUYMPo1Ja9YEb0zywqb1gWkBvBoEwZe4VuA1wXEYhkn1A7UANIVEZCyueb8Sf/3PRiciPal+YNfodL89pohcjbtAfFUOUHcb1dqWKbiuINNx3Q6MMUnIsW8gY9LV//yjzqwJ3pj0Zh9gk7ZKoiEt/xkl6t/FPXNhVgONVDemkTRYmvLRAW9W+Hv/t18Pb1Ip0dqyT7oxxpiUyMoImDg0wqmvLaFNpIQxJ2+c6ioZ02Q1gYvPrxEEwcDqloVh+EkyZVgAaowxJmWka4R/9HRXXuvcqluKa2OMSdITCc87A9m463gndTtOC0CNMcYYY0zSwjCscMlJf23Qa3GXxUxKOl8H1BhjjDFmvRBGggqPpsRfG/RW4Ipkt7EMqDHGmJRZWhQyevEm5GaUcEAsJLOJfbEaY5K2H8ndnhywANQYY0yKxMKQfo9FWVHcH4DfXory+Qn2tWRMUxcEQYVrfwKtcNcGPS/ZMuyTbowxJiV+XRJlRXH58wnzUlcXY5q8JjQKHjgp4XkBMCUMw5XJFmABqDHGmJRYtirVNTDG1NFOYRjenTgzCIJLwjC8N5kCbBCSMcaYlKh0F4Uw6e5jxpjUur6a+dcmW4BlQI0xxqREdmkp8V9DLUpKcJcSNMYkagoj3+MuQJ8RBMFfqHjnp77U4jJMFoAmSURGAaWqeoZ/Phm4SVVfasQ67AW8o6rtG2ufzYGI9AZmAD1UdW4tt90T+FxVU//JN6aZaVW6mu3nzub77u661Uf872vgL6mtlDGmJmUXoG8BPBk3PwQWABckW5AFoHWkqls2ZPkiMgLYU1UHx+3zc6B9Q+7XGGMay4oWrTn6xy857ZtPabeqgPc23zHVVTLG1KDsAvRBEDwThuEp61KWBaDGrAMRyVLVklTXw5h1FYYhY6aHRGNwSL+AjEjAhzNjrFgNh/YLyMms/0aAELjmwKFlFYAg4MVq6vbe9JDC0pBIEJAVcXUMqhgV/NX8kOnLQ/bvE9ChReXlE+aGzMkLOahvQNsca9gw6aMp3Qt+XYNPsAC0EhFpA4wAjsTd23QOcFYV680ErlXV0SKyLzAOOAW4GegKvAacD9wDHA2sBC5W1df99tsC9wNbAhnAROB8VZ0mIscBVwMREcn3u9wG6AmMU9VMX0YAnIlLefcCVgB3qOoDNRzfJcBNcbMycKn0Dqq6XET2Ae4EBgDzgftU9RG/bdlxDgVuAzoBHwCnq2qeX2cDv/0QX+6nwAWqurC6OsXVbR/gFn9OYsAYVR0Wt6zKeiWzPFki0h94DNgRmA48lbB8PPAD0BsYCNwhIufiXrs34tZ7BihR1dNrWwdjUuHsj2I8+qMbFnT8gIB+7eHWie754F4BHx2TUe/7rPB9WsOX64WfxHjg+7IhS+7/07cOePyvFes0+ucYp7wXIwQ26wh6UgZtssvLfWRSjLM/cgOdtu4EX5+UQYsGCKyNae6CIGiLi5X2wcUCaz5IYRj2TKYMGwVf2RPALsAgoC1wKC6gWZsMYF9ga2BzYH9cUPkmsAFwO/CkiLTy64e4F68bLpjJB0YD+H6ltwHjVbWNf0yvYp9n+zLOwTXNbw98VVMlVfXesjL9NuOBN4AVItIHeB942Nd5GHC7iByTcJxDgG2BTf0+L4Q1AfGb/ti2wgXFecDzNdXJb7sNLph9AtgI6AGM8stqrFeS9V4rEckExgCTgS64Hw5nV7HqcNyPh3bAfb7OZ8SV085v+1ht9m9MKr30W/mY9Fd+C3nxl/Ln42aF/FlUacx6o3np18r7fvm3queVzf3tT5i0uPptfloCv/5Zn7U0Zr3yELADLqHVEZcIm437TkyKBaBxRKQLcCxwtqrOUNVQVaeq6tQki7hGVQtVdTYusJuhqu+qagx4Bhew9AdQ1R9V9VNVXa2qK4AbgV3jAtRkXADcqqoTVDWmqktU9ZtabD/S12moqobACcB3qjpKVUtVdSLwCHHBlfd/qprvs5pvAuLn7+gf56nqClUtxN0XdqCIdF9LXc7GDbAa5c9JkaqO98vWVq9k6702u+B+DFzu9/87LoOd6FVV/cS/PwqBx4H9RKSbX34iMM3Xo0Hl5eXZtE3Xy/R2G0TXTG/bKYZ0Lc8M9msP7Vs0wH4rXXUprHL9bTtFE1dkxw2DSmXuuGF5ndvlwCbtK5azdYfyq953bBHSq209HotN23QDC4NIhUeKDQGOCsPwLSDq/z8OODnZAqwJvqLe/v8pddg2qqrxv7cLcc3uAKhqoYgA5AKISD/gLlzQk0v5X97OwKxa1LcudUVErgf2AnZX1SI/uwdutHi8acBhcc8Tj7MAf0xAHyAHWOiPtcwqXPeBmkag9wa+r2bZ2uqVTL2T0R1Y5IPKMonlAsyMf6Kqs0XkI+A0XBeCM2ik7Gdubq5N23S9TL95ZDZ3fRMjGsKlkkXrLNhig5AVq0P+vmOESBDU/34TWr+ziouBrErrv3p4Nnd/E2PZqpAgCGibDZftFCG3RcUyr9stpEOLCNOWhwzbMsKGrQPK/zzB3YNa0KO96wN6xtYZa/qINoXzb9PNY3o9EsF1+wPID4KgHa61eJNkC7AAtKKZ/v/+wM8NvK+RwB/ANqq6VES2An6i/E9yMldknomr60e12bGIDAPOxQWfS+MWzQEOTFi9r5+fjFm4gLSjz/rWxkx8drgKa6vXuta7zDygi4i0igtCe1exXlXH9ghwn4i8C2wBPFvLfRuTUu1bBNy6V0aFedfv3rD9I1uvXgVhzpr+n1UNKgJolxNw854ZVS6LFwkCLtyh+jpnRgIu3cn6fBpTDybh+n9+DHyOa5LPpxZJMQtA46jqIhF5FXjIB2mzgH4NtLu2wO/AchHpRMWBQeCup9VTRLJVtbjS1s6DwNUi8j2u72dHoE9NzfAish/wT2C/KvqVvgBcJyKn4Ppt7oAbgHVOksekuDfl/SJygw+sOwODVLWqwa3xHgG+EpGTgZdxv6528c3wa6vXuta7zETca36HiFwBbAxckuS27+I+gE8Ar6nqslru25j1TjQjo8Lgo+LMrBTWxpimrSlciD7OmZQnzC7CjVtpjxuMnZSUdyJogobjRjn/BzeA5i3cqPb6djGuCXwl7tfDmITlr+AyeAtEZLkfaJPoIdzgpid8Od8BO61lv0OBNsCnIpIf92inqjNwmcTzgaW4LN51qvpyMgfks56H4d6U34pIHi6o2zeJbSf5fZ8DLMR1Zj7ZL6uxXuta77g6lOIGnW0DLAJeBx5Nctso7nXYHht8ZExSVmVZwGlMOgrDcHoYhtP89KIwDM8Iw/C4MAyTbj0OwjB1IxuNaU581vwqVd2sEXdrH2CTtv47p5Q9E+4lF15mDXMmrTVYmvKBHd6v8Pf+/O/2T1lKNHD9Zc7ADQLuFIbhNkEQ7A10DcMwqeSPZUCNqQcikotrhrg/1XUxJl3YrydjkhcGQYVHit0EnI5rJSy77udc4MpkC7Cfms2QiIzFNe9X4q//2ehEpCfVD+warapVXW+zIepR7+dGRP6O6//yIUk22RtjYOM2ARaGGpOWhgHbh2G4JAiCh/28GbgBwEmxJnhj0pt9gE1a6/9YKVP9xVxO3gKeOdDyIiatNVhq8t87flDh7/0F3/41lU3wfwB9wzBcFQTBn2EYdgyCIBf4OQzDHsmUYU3wxhhjUmby8Ayu3vhbbu3xlQWfxtQkSHik1nvAvUEQ5MCaPqE3A+8kW4AFoMYYY1ImOyNg19xFbN3K7otpTBq5BHfb7BW4Oyrm426/bX1AjTHGGGNM/QmCoGsYhgvCMFwJHBEEQRdc4DknDMMFtSnLMqDGGGOMMU1cExkFn3ino5FhGH5T2+ATLANqjDEmhV74OcbZv/2FlpFSxi2OsVVny4sY04QlRr771rUg+6QbY4xJiYLVMU4cU8pKWrAw1oZ9nq3ursPGmCai3q68YhlQY4wxKTF1cSlEyvMgy0pSP7TXmKaqidwLPjMIgr9QnglNfE4Yhp8kVVADVM4YY4xZq6xVRUDr8hkRa5QzpolbBDwZ93xpwvOQJC9GbwGoMcaYlFiW0xrCEMoGVNiNUYxp0sIw7F1fZVkAaowxJiUiAeXBJzSF+1sb02Q1t8+HtXekIRHpLSKhiHSv53L3FZHStawzU0ROqs/9JpR/kojMbKjyk6xDg5xfY0yCWKorYIxJFcuAmmZHRE4BzgY2B6LAN8AVqvqTX94bmAEUUj6ib7mqWsBpTGNKTIEEkFcc8mcR9GrXvLI9xpiKLAO6nhCRrFTXoRHlAjcA3YFuwHfAhyLSKmG9zVS1jX9Y8GlMLb3yW4xBL0c5+6MoBcV16L+ZuEkI7f8dpfdjUQ5+PUqY2Cd0WT6c9m/YbwSM/Y5bJ8YY+FKU2yb6VGpxCVz8JAy6AZ78uC6HlLSfl4Qc8nqUw96IMuVP67tqGl4TuRB9vbEMaBMnIhcCFwOdgJXA08CjfvFfROQqoAfwJXCqqs73283EjUz7C7ATcIaIDAD2VNXBceWPB8ap6i1x804FbsIFcm8D56tqfhV1awWMBnYHWgFTgStV9SO/fBhwLXA/cAVuuOvLwLmqGvXr7Aw8BAwAfgA+XNvxq+rVNZ0zVX0woYybgav9Pr6raduqiEhf4D3gJVW9QURGARlACXAkUABcBvwCPOb3o8BQVf2jtvszJh1MXRZywpgY0RA+mQ2tMmPc+5eMWpXRqjRGhTxIEBDzsdy700N+WATbbxi3wd+fhGfGA/DCig5ce+w2AHw6J2ST9nDsq2/CP8e4dT/9H2zTC2STuhzeWh36ZpRpy9309BVRfhpmX6fG1IZlQJswEdkU+AdwsKrmAlviAsIyxwF747J8rXFBY7wzgUtwgeRbSe42AzgE2AbXhL0pcG8160aA14H+wAbAC8BrItI5bp1ewIZAP1wgfAxwvD++dsBY4FWgIy7QPLcWx5+sQbjm9t8T5n8lIotFZLyI7FvVhiKyG/A58A9VvSFu0dHAa77eN+MCz5uAI/zxhsCNdahrreTl5dm0TadkeuqiQqJxib85ebUvpyCzpq+gkI4tErads6R8f63bVVh76pLVFZYThjB3aYOdh7nlT+t07DbdPKdN8iwAbdpKcRd33VJE2qjqclWdGLf8RlVdoqorgecBSdj+MVX9XlVDVS2qxX6vVNUVqroQuB44RUQqvVdUNV9VR6tqnqqWqOpdQDEu0CxTBFyvqqtVdSrwcVw9D8ZlD+9Q1WJV/QZ4ohbHv1Y+iH0KuFRVy/5KLAF2A/oAvXGB5FgR2SZh86OBN3CZ5VEJyz5R1XdVNQY8g/sB8KyqzlXVQlxQnfh61Lvc3FybtumUTA/apBV/6eGaAVtnwQXbR2pdTk2NiKdtFVnTD3TNtpccCjmuN9HQzvn09LN7t4Vh27WAc/aHDm3cTOkH+23bYOfhql3K/yRetXPtj92mm+d0Q7ImeNNoVHW6iAwFzgEeF5EfcVm2KX6V+XGrF+AynfFm1nHXsxLKyME1gS+KX0lEWgJ3AQf65TFfh/gM6KKy5vYq6tkdmKWq8R2oZpRNVHf8qlqhmb46IrIF8BFwt6qOjCs3HygLZIuBf4vIobjs7I9xRfwf8L6qjqui+DXnXlULRaTCPFzGtXH+KhmTAlkZAR8eE+HnpbBRa+jcqvZfiEEVKZDvTo7QsUVQ9SCkgwVmjoTFK+m2ZQ8mlwZMXQ7920Pr7AC26wNTH3SZ0M27Q3bDdX2/YfcIJ24eEAmgX/v0DwaMaWyWAW3iVPV1Vd0PF+C9jGtKTxxMU53Ei5zkUeG2IwBsXMV2veKmewOrcVnDRJfgugAMAtqpantgGTUnNuLNA3qJSPz6veNXqOr4qxhMVImI7ACMxzWd35lEXWJV1PtgYEcReTihjsYYIDMSsE3noE7BJ1ChCb/M9htGah4B37UDbN0LIhHaZAds1yVwwWeZjrmwbZ8GDT7L9O8QWPBpTB1ZBrQJE5HNcM3En+Gaslfg+hbW9ep53wK3iciOwCTcpYr6VLHe7SJyBtACGIFrWq5qn21xwelSIFtErgTa16I+Y3ADlC4XkfuArYHTfZl1Pn4R2cOXfYWqPlbF8l2BfOBX3GfgFGAf3ECleAv8/A+AZ0VkmKrWeJ1UY0zyajdkyZj1W3Nodo9nGdCmLRvXB3M+sBy4EDgKWFWXwlR1PG5A0fu+zA2B/yasFgXeBX4CfgOm4zKdVbnX1+sPYBqu2XlmLeqzHDgIN5hqGS4YfThulSqPX1XXdvy3AO2A+0QkP+6xl1/eB3gTF9DOA04GDlHVb6uo45+4DG8P4FURyUn2+IwxNbOLFxmz/goqXWfNGJNO7ANs0taXc0vZ/cWK88LLrGHOpLUGS1Pes8enFf7eX/rfv6R1StQ+6cYYY1KixqswGWMqaG5N8BaAmrTjR8Y/Us3is1T1ucasjzGmbgZ0ihDfpbv1+nS/NmPWcxaAmrTjA0wLMo1Jc7nZER4aHHLJxyXkRKJ8cEzLVFfJGNNILAA1xhiTMudsl0H3Oe8BsMvGh6S4NsY0Xc2tCd564BhjjDHGmEZlAagxxhhjjGlU1gRvjDEmZWJhyOTCDrSK2D0ejKlJGGleTfAWgBpjjEmZXUZH0YW7AjDr0yj3/MXuj2TM+sCa4I0xxqTErBVRdGH58/u+tfsqGFOdMAgqPNKdBaDGGGNSYs7KigGnhZ/GrD8sADXGGJMSgUWcxqy3rA+oMcaYlIilfyuiMY2mOTS7x2sWGVARGSUij8c9nywixzVyHfYSkeWNuc/mSERGisgD9VTWTBE5qT7KMsbUv+b1dWqMqY1mmQFV1S0bsnwRGQHsqaqD4/b5OdC+IfebKiKyLzBOVRv8/aKqZzf0PhqSiMwErlXV0amuizFNXTNL6BhjaqFZZEBN6olIhojY+8kYU6XFhSELCip2+ozV0Ad0zsqQ5auqX2Hl6pBZK0KWrQqZm1c/nUljYcjMFSEFxa68opKQGctDSmuqqDGNpLmNgk+rDKiItAFGAEcCnYE5wFlVrDcTn4Uqy94BpwA3A12B14DzgXuAo4GVwMWq+rrfflvgfmBLIAOYCJyvqtN80/7VQERE8v0utwF6EpclFJEAOBO4AOgFrADuUNVqm5dF5BLgprhZGUALoIOqLheRfYA7gQHAfOA+VX3Eb1t2nEOB24BOwAfA6aqa59fZwG8/xJf7KXCBavyFUCrVaWNgLJARd7znAf8BZgBnAJcC/YBeIpLjz90eQJE/11epapEvLwQuBob5bRQ4U1Wn+uWjgFJVPcM/7wz8A9gPl2GeCpygqr+JyEXAOUA3YBnwHO51j1Z3PFUc3w7AZ/4cl4jIcOAJYJCqfiIiGwJ/ABur6kIR6QncC+yJG7T7DnCpquaJyDu498HjIjIS+EJVhyRbF2Oaq8d/jHH2RzGiIdy2V4SrdnG/VasbhHTWh1Ee/TGkZSa8emiEA/tW/G07fnaMQ96IkV8CkcAFshfuEPCvgXW/hmhJNOTA12OMmxXSuSWM2j/CWeNizM2DXTaCj4/JoHV2+n/pG9NUpFvG6glgF2AQ0BY4FBeIrU0GsC+wNbA5sD8uqHwT2AC4HXhSRFr59UNcoNsN6A3kA6MBVPUlXIA3XlXb+Mf0KvZ5ti/jHFzgtD3wVU2VVNV7y8r024wH3gBWiEgf4H3gYV/nYcDtInJMwnEOAbYFNvX7vBDWBMRv+mPbChcU5wHPr6VOfwAHANG44306bpUTgYFALi4IfBdY4MvfFReI3p1Q7N9wgX8XYDLwtohU+ubwGdW3/bnYyf8/zNcbYK6vW1vgMGA4LiCuje+BVcBu/vl+uCC3rHvFYGCyDz5bAJ8APwN9gC2A7sC/AFT1EGA2cIY/TxZ8GgNc918XfAJc/98YUZ9RrOrGLrNWhDz6o89AlsLNX8YqrXPbVyH5JW66LDl5/3eVM6y18cnskHGz3PaLi+CKz1zwCfDVfHhrmmVBjalPaROAikgX4FjgbFWdoaqhqk4ty5wl4RpVLVTV2bjAboaqvquqMeAZoB3QH0BVf1TVT1V1taquAG4Edo0LUJNxAXCrqk5Q1ZiqLlHVb2qx/Uhfp6GqGgInAN+p6ihVLVXVicAjVA64/k9V831W801A/Pwd/eM8VV2hqoXAFcBAEelei3olulFVF6hqsS+/P3CJqhao6jzgWmC4D4DL3ONfuyJfh364HxaJxD+Gq+pCfx5/9EExqvpa3Hvhe+BZ3I+TpPlz+wkw2NdxoK/zfn6VwbjMMsDBQKCq16tqkaouA64DhlYVQDeGvLw8m7bpJj/dJe4v5wYtoLDANaZUDi1DcrOhRVzbXJdWQaUyu1Txl7hVZkibrLrXs3OritFwp5YVy29DUa3LtOn1b7ohWRN86vT2/0+pw7ZRVV0c97wQ1+wOgKoWigi4LB4i0g+4CxcU5VJ+feTOwKxa1LcudUVErgf2AnYva7oGeuCavONNw2X+yiQeZwH+mHAZuxxgoT/WMqtwzcZz61JXYGbcdA9gsaoWJNSxBe7cLUrcxp/7xbhMYqLewCL/I6ASETkBuAToi3svZ+My27U1DpdZfQ1YDrwKPOy7LAzCZbPBncOeVVztIMR17ZhXh32vk9zcXJu26SY//cJBGVzwSYzV0ZC798koX6dSUjGgY8uAlw+JcMuXMTZsHfDQ4EilMu/7S0hRaYxpy0MiQHYmjNg9gza+ibwu9dwhFx4cFOGp/8XYYoOA+/4ScPWEEF0QcvSmEQ7dvHWjnzebTr9pk7x0CkBn+v/745pAG9JIXL+/bVR1qYhsBfxE+VVDKv9wr2wmrq4f1WbHIjIMOBcXfC6NWzQHODBh9b5+fjJm4QLSjj7rWxs1rR+/bA7QWURa+QxrWR1XAfGBce+yCZ9V7kzVAfBMoIuItFXVlfELRKQHrlvEkcBYVS0Wkbspz/jWxjjgQV/WR6oaFZHPcd0nuuL6u4I7h1PWcpWF2p5bY5q9LToFfHxs5UaC6pI4h/SLcEi/6hvoOrcKeO2w+m90OHf7COduX77fkfvVsLIxZp2kTQCqqotE5FXgIR+kzcI13TaEtsDvwHIR6UTFgUHg+jj2FJFs3/RclQeBq0Xke1zfz45An5qa4UVkP+CfwH5V9Ct9AbhORE7B9dvcATcA65wkj0mBScD9InKDD6w74wbbvLiWbRfgBiH1UdXELGy8r3H9J+8RkUtxfTZvBp7yTd1lLhaR8biM4T+A6VTdP1aB73CDes4HluD6ry4B2uC6kCwGSkRkV+Bk4Je1HEvlnahOF5E5wN9xg9UAPvZ1nxiX0R0D3CoiVwP/xvUN3hjYWVXf8OsswHflMMasRfq3IhrTaJpDs3u8tOkD6g0HfsBlpPKAt3AZqvp2Ma4JfCXwOS7wiPcKLtu3QESW+wFCiR7CDW56wpfzHW4gTU2G4gKrT0UkP+7Rzgd+B+JG7y/F9Xe8TlVfTuaAfNbzMNyf/G9FJA/XXL1vEttOwQ1++tof78nVrFeK6yfZHTcY52tcYHlZwqqPA6/jgsdtgcOqGrnu63wIbjT9D7jm8SeBNqr6C3AD7j2wHPg/XJBeV+OAVrgrA5Q9b0t5/098VncgbvDRr7grG3wMbBdXzi3ASSKyTETGrkN9jGn2QhvXY8x6KwjtL4BpRP4yTHup6oRU16WZsA+wSVsT5pSy10sV54WXpU3DnDFVabA05a2Dv6zw9/6acbuldUrUPunGGGNSorrrgBpjKmtuTfAWgDYy3yy7V1XL/PU/G52/uHp1A7tGa/rfHvNq3M0DqnKAutuoGmMaWducVNfAGJMq1gRvTHqzD7BJW9FYSO79UYpK3fNtOsGkYZYXMWmtwdKUt+w3scLf+2s/2jWtU6LpNgjJGGNMM5ERCZhyegaD2s7hiA7TmDi0/i+tZExzEQYVH+nOfmoaY4xJme65ARdt9D8AWmZtluLaGGMai2VAjTHGGGNMo7IMqDHGGGNME2ej4I0xxph6MnlJjBvmCG0iJey5KqRDi+b1JWuMqZoFoMYYY1KiNBay3dMxSmOdANjxmSjT/2ZfS8asD+yTbowxJiV+WhSlNBaCb1qctTyW4hoZ03Q1tyZ4G4RkjDEmJaKrWRN8AsSa2ResMaZ6FoAaY4xJidIAsJuhGLNesgDUJE1ExovItQ1Y/p4ikvJvIxEJRWTPVNfDmOYuRlghA2qMqV4sCCo80p31ATXNiogcCFwGbANkAP8Dro6/37sPcouA+A5n3VR1RWPW1Zj1XVYsBrEIRAKXCY2l/PenMaaRWADazIhIlqqWpLoeKdQB+DfwKZAPnAmMFZHNVXVO3HpDVHVCKipojHHarFpNpyWlLOnQBkLYesZCoEeqq2WMaQQWgKYBEekKPAbsDSwE7gAeB/oAI4AsoAQ4FHhJRC4FRgO7A62AqcCVqvqRL6838AiwCxACM4ATVPU3ERkM3AX0A4qBH1R1cDX1egoYDLQH5gC3qOrzftm+wDhgKHAb0An4ADhdVfP8Ov39ce0ITAeeSij/eOAGoDtQCLyvqqfWdK5U9bmEWQ+LyA3ATr6OtSIinYG3gJ+Bs4Frgb0ABYbjurHcCrzm678TMAU4SVV/qe3+jKl3f+bBQ+9Dy2w47wBokd1ou359SozvFoUcvkkE6eqaDBfmxXjk6xLatwjYrX2EnZeuZMDUeQB806ldrcovjYU8OilkUWHIGdtE6J4b8N95IWNnxNh944AD+7peZt/MD3lrWowdNww4or/1PDPpKST9m93jWQCaHp4DluNSAy2AlxOWHwOcDJwO5OCCoteBU4FVwN+B10Skn6ouxgWEs3EBaymwJbDMl/UMcA0wCsgGdquhXhNwzd3LfR2eEZEfVPVnvzwDGAJsC7T2618I3CoimcAYXJB6AC7IfKesYBFpBTwL/FVVPxGR1sAOazlPlYjI1rjg96eERa+ISBYwDbhDVV+vYttNgXeBp1X1Fj8P3A+BF4Cu/vjGAAcC5+GC/aeA+4H9altfY+rdfjfCd9Pd9Ne/w0uXNcpun/8lxtB3XS+XezXKpFMz6NsO9n2siF8Xu/lHbwIDluWt2WbHxUuAnknv47LxMf71nWu2f+bnKC8cFOEvL8UoiQGEvHME9O8QsPdLUVaVunkvHAzHD7Ag1JhUs09hEyci3YGBwOWqulJVFwE3J6w2QVVfUtWoqhaqar6qjlbVPFUtUdW7cNnMnfz6xbjgqa/f5kdfbtmyfsCGqrpaVcdXVzdVfUJVl/oyXgR+BPZNWO3/fH0WAm8C4ufvAvT2x1Wkqr8D9yRsWwIMEJGOqloQ348zGSLSBZeZvNuXX2YwLnvcHbgXeE5E9k/YfG/gP8CIsuAzzhRVfdwf91hgKfCBqv7iuz88H3ecDSovL8+mbbr66aLV5cEnwIRfG60OE+aW9+csKoUJM4tYWhiuCT4BvlsYI3dV+ba9lv1Rq319Nju6ZnrGCvhoVuiDT+e/80ImzCzywScV6tVkXiObblbTJnmWAW36uvn/Z8fNm5Wwzsz4JyLSEteMfiAu+xcDcoHOfpXLgeuAd3xm8VXgKlXNBw4DrgZ+EpHFwKOq+s/ESolIBNf8fxwumA1xWc7OcatFfca1TIGvB7jgb5GqFsYtn1E2oaqFfkDRJbiM6XTgnrIm/rURkY2Bj4APgavil6nqx3FPX/LdDoYC78fNvxA3gOmlKoqfn/C8MGFeIeXH2aByc3Nt2qZrnh64NXziGwAO3rHR9ntg34CRk0JCoEMLGNyvJZ1awS49Inw1x0WJu/XJ4MT7Xuar3jvTsmQVbQrnAQcnva9D+2fw/RIXUG7bGQ7vH/CPr0MKSiAzAvv3idC7bUva/zfK8tVurNOBfYMGP3abXn+nG1JzuxC9BaBN3zz/f09cP8my6XiJtw+5BJfBGwTMVNVQRJaA60Dig8ILgQtFpC+uj+MVwPWqOgk4TkQCYE/gQxH5UVU/SdjHCcAZuCbon1U1JiJato8kj6uLiLSKC0J7x6/gs6/jRSQD113gNRH5SlWn1VSw7+P6MfCGqibT3hirot7DgCv9Po9V1dVJlGNM0zPmanhhArTKgWN3b7TdHtwvwoQTAiYtDvlr74Aebd1HbNzprXjxR9cHdMO2IWceOYybP3yZ5S1bc9aRwyv9uq7JiD0y2K5LjEWFcNyAgHY5AXpSwKdzQnbqGqzpd6onZ/DhzJDtugTstnHz+hI3Jl1ZANrEqepcERkP/ENETsf1AV3btTjbAqtxTcPZInIlbqAQACJyHPA1LnO6AtfsHhWRbFxg+a6qLhGRZbjgLEplbXH9RxcDEREZhuvrOSbJQ5uIy+TeISJXABvjAueyOm6IC4DHqeoKEVnuF1VVlzVEZACuX+koVa10nkRkK9zArB9wWduDcP1nj09YNR/XN/U14F0ROUxVC5I8NmOajpY5MHxQSna9e7eA3btVDPja5AScsZMbCDVhdjGf9d6Cfc690X0aS2t/GabDEwYVDdggYMAGFffZr33AOdtZ4GlMU2J9QNPDibigaS7wX+AVP7+6rNy9uIFBf+AG2RRSsZl+e1z/xnxgMvAdrskeXJP6ryKSD7wN3KCq/6liH08DX+EG3cwDtgCS7qOpqqW4rOY2wCLcoKlH41aJ4Ab1zBSRPOBB4FRVnUnNrsR1W/i7iOTHPYb65Z1xg4SW+f1eCwxX1berqOMq4HBcIP+RiLRP9viMMckIIDNwF6OP+GljTJXCIKjwSHdBaLdBSzsi8ldcs3lLVbUXcP1mr79JWz9NyWebt1uUzwhDwsuzUlchY9Zdg0WG1x70XYW/97e8u0NaR6HWBJ8GRGQ7XFP4T7jR27cAL1nwaYxJZ3k5OamugjEmRSwATQ8dcBds3wjXZ3MscGlKa5QiIrIX7vircpuq3taY9THG1F0QSesEjjGNqjk0u8ezADQNqOqnwCaprkdT4K8F2ibV9TDGrLte7QPie5FYPGrM+sMGIRljjEmJjXMzOKB32bOQf+xlX0nGrC8sA2qMMSZl3js6k4df+4SWQSnDdhmS6uoY02SFzayFwAJQY4wxKdU92y6xa8z6xto7jDHGGGNMo7IMqDHGmJSKhgERu6StMTWK2Sh4Y4wxpn6MemUOUx4ugMyAdr3z2Wcbu8iFMesDC0CNMcakRF5BKf9+fznf7Xc4hDDj1i/Z56V9U10tY0wjsD6gxhhjUuKPPwr4brMBkJUB2Rm8vM0uqa6SMU1Wc7sXvGVAjTHGpMSfLVtXSIPEMjJSVxljTKOyDKgxxpiUCMIQiqMQhu4RtYFIxqwvLANqjDEmJWKE9F20gPO+/pCCrBzu3PMQICfV1TKmSWoOze7xLAA1JoGIjAD2VNXBqa6LMc1Z28JVfPXo9XQqygNg4PSf4dZ/pLhWxpjGYAGoaVZEJAe4HxgIdAWWAS8B16nqKr/OCOBaYFXcpg+q6pWNW1tj1m+985bSxgefADvOn5m6yhhjGpUFoKa5yQSWAIcAvwPdgddx7XoXxq033jKcZn1VWBJy0uslfDk3xuGbZfDgQZlE6ti8F42FnPVRjHenh+zVLeCZAyO0yCwva0F+jB2ejbGwEDbvCN+fkkFWhlv+W6eNWNh/Ww78fRIA/9ztr/xfXNmv/Rrj0k+itFm9moeef4ntC/6k5VPHkblLzyrrEk6YQnjGU1ASJXjoZIK/bl2nYzKmKbIL0ZsmSUQuBC4GOgErgadV9WoReQoYDLQH5gC3qOrzfptvgOdU9Z9x5YwA9lHVv4jItrhs4pZABjAROF9Vp/l1R/n5q4BjgALgJlV9xC8fhss03g9cAbQGXgbOVdWoX6em+nUAHsVlMzOBucDZqvp5dedBVQuAa+JmzRKRx4Bzkz2XiUTkNOBm4ChV/UpEQuACYBiwOTAJONafg0uAVsBIVb2m6hKNSa37v4ryxq8xAEZ+G2VQ3whHb1G3Eegv/hryxE9u8NArU0J22zjkYin/ojzpvRjz/a3eJy+Fqz+Pcde+bl/FmRkce+wlbLr4T6KRgJ+7dl4TgK4uDTlpTJRVpQA5XLjrIP7zwIMUnfYSuT9fXmVdwlMehxmL3fSJjxAsfaBOx2SMaXg2Cr4ZEJFNgX8AB6tqLi5gfNsvngBshwvwbgJGicgWftlTuCCqrJwAOBV40s8KgRFAN6A3kA+MTtj90cA7QEdcUPaAiPSKW94L2BDoB+yEC9KOj1teU/0uxwVzvfzyI3BBaG0NwgWJ8XYVkSUiMkNEHhORzlVtKCI3A1cCe6vqV3GLTgIOBzrjAvBPgA7+OAcCl4nIHnWoa63k5eXZtE3XerqopOJo81WldS+zqLRCUawoXF1xXwnLC+L2FQlh4xWrKMpqRXFGSzZaWbRmveUr8ymOlm+3OtPlS2JFxdXXJ24Zq0oIw7DJnHObXj+mTfKCMLTLXqQ7EekLTMYFj++pan4N6yrwpKo+5DOM84HdVPV7ERkIvAF0VdWiKrbdCvgJaK2qhT4D2llVD4pbZzFwhqq+5TOg9wMd4jKerwBzVfXiJOo3AtgfOA/4XlVjtTszICJ/B64GRFVn+3lbAnm4jGtv4EFcgLuHqoZ+vwOB2UBP4HBV/TOuzBA4VlVf8c/Pxf0AaF9WRxH5Gpdd/ldt61xL9gE2tbakMGTIs8V8vyBk/00ivHlcFjmZdWveKyoJOeSNGB/PDtmpK3xwdAYdWpSXNXlJjJ1Gxygqhc4tYeoZEdrmuNzHT7/nc+y/yv/UrM4ImP6vTmue369RLv0kRqswyqhRzzJw7ixaPX8iWYdsQVXC15TwlMcgGiN45FSCU/es0zEZsw4arJ380iN/qvD3/p7Xt07rNnlrgm8GVHW6iAwFzgEeF5EfcdnEcbgM5nG4ATkhrhm8s99umYi8CZwGfO//f7Es+BSRfsBdwC5ALuXBTmdglp+en1CdAr9umUVlwWfichGJ1FQ/v+8s4GlgIxEZA1yhqguTOS8icjEuezmwLPj0xz05brUZInImLrPaF5jm528O7AYMiQ8+48Qfd6E/zljCvFyMaYI6tQr47qwcVpeGdQ48y7TMChh3bEa1ZW3ZKULh3yOsXBWjbYuKjW7RSAbLWmfToaCYEPgzt0WF5RdKBudsHyEjkklw6XCIBASR6hvugqMEDt8BwpAg0y5qb0xTZk3wzYSqvq6q++H6gL4MvAWcAJwBHIXLQrbHNUXHf0s8BZwoIp2AI/3zMiNxmcJtVLUtUNakXF+/umqsn6oWqOo1qroVrltBN1xQulYich1wKa4/6//WsnpZ4Bh/XJNwgfFrImKDlUyztK7BZ23KSgw+AUqyM1nYviXTu7Rh2oa5rGyVVWmdrIyASBAQZGbUGHyWCTIiFnwakwYsA9oMiMhmQB/gM6AIWIHLJrYFSoHFQMQ3iW8LjInb/CO/zTPATFWdGLesLW4k+XIfoN5Uz1WvsX4icggwFZiC63+6CohWWVIcEbkLNyhon7IBUwnLjwQ+V9XFItINeAj4lvLsJ+CCehEpAF4WkdNU9a26HqgxprKs4iiZUSjOcgFj21XF2IXojala2HCt+ylhGdDmIRu4HtcsvBx3uaGjcE3XX+GCuHnAFkCFEeS+2fgZ4AAqZj/BjarfCzeq/nMqBq71YW3164cb4LQSmIkLlGu8VqcfAHUZrkl/kojk+0d8s/tRwGQfXE4ElgKHqGql/pSq+gFwGPCk7+ZgjKknuSWraVtUQte8IjZeUUTL4tK1b2SMaRZsEJIx6c0+wCZt/fbbMrZ8tSVRnwHtvvRP5tyxYYprZcw6abA05d+Pmlzh7/0/X9syrVOilgE1xhiTEitbtiEjI4RIAJGAkmzru2nM+sL6gJq0IyJjcV0DKlHVNo1cHWNMHfXqGKE4s3zg0Yo2duEIY9YXFoCatKOqB6S6DsaYddelTQYn9ivh+WkBQRhy3yDLgBpTndBuxWmMMcbUj+eOyGLQ6x+RE0QZKvunujrGmEZiAagxxpiU6py1KtVVMMY0MgtAjTHGGGOaOGuCN8YYY+rJytUhb/zZm9xICQeFIZFm9iVrjKmaBaDGGGNSIgxD+j0eZUnR5gD8/GqUj46xryVj1gf2STfGGJMSvy6NsqSo/Pm4WamrizFNXayZNQ7YheiNMcakxKIiIAzZdeYMtljwR6qrY4xpRJYBNcYYkxJBCE8//wzH/vAdAJcediRcNijFtTLGNAYLQI0xxqREh4ICNvntV+7dZyDtVhUx/Mv/AhaAGlMVGwVv1ksisi8wTlUb7D0jIuOACao6oqH2kUQdRgB7qurgVNXBmPXF6qxsBp17Ib923QiA/X79hQ9TXCdjTOOwALQJE5EQ2EtVJzTyfkeQhkGYiOQA9wMDga7AMuAl4DpVXeXXGQFcC8Rf+fpBVb2ycWtrjMmIRdcEnwAfb7ppCmtjjGlMzT4AFZEsVS1JdT1Mo8gElgCHAL8D3YHXgRzgwrj1xqdbcG1MOlpdGvLpnJCNWgds26Vy82FeTosKz2OBGxe7uDDk6/khW3cO6Nk24Ov5IStWhwzsGZARaV7NkDX5ZWnIjBUhe3cPaJO9/hy3qVqM5vUeaJIBqIjMBJ4EhgDbAb8C56jqN375mcBFQA9gOnClqn7ol40A9ga+A04GvhORl3BZrweBS4F2wCPA7cCjwH7AH8AZZdlGERkE3AZsCpQCHwMXquoiv3w88C3Q29dzEXCJqr4VdxyHA9cB/YD5wC2q+pxfNszX6X7gCqA18DJwrqpGRWSSL+ZDEYkBL6rqGTWcsx+Bf6jq8yLSEpf9e1lVT/HL38MFXneKSKbf5zCgCzAZuEhVVUSOA64GIiKS74vfpor9rdP5EZEA+D/gPKAV8DSUf7pEpIN/bQbi3qdzgbNV9fPqzoGqFgDXxM2aJSKPAedWt83aiMhpwM3AUar6lc9KX4A7d5sDk4BjgWOAS/yxjFTVa6ou0Zj1Q2ksZL9Xo3w+132wn/hrhNO2rnjhlUpd2oKAeXkhO42OMr8A2mTB8K0C7v8+BODwTQLeODyjcQ4gxd6eGuOot2OUxmCbzvDliRm0ympeAYhZvzXlyzCdjQsyOwKvAu+JSFsffF4JDAU64AKO10Vkk7ht98YFfD2Ao/y8XkB7oC+wJy6IGAvc5ct5HXgqrozVwPlAZ2BrYGPgXwl1PBW4BxfQPgA8LSKtAERkP+AJ4O/+GE4FHhCRveO27wVsiAtQd8IFMccDqOq2fp0hqtqmpuDTGweUZfX2Bubge/OLSLafN84vvxE4DNgf2AAX7L8vIh1U9SVcYDne77eNqk6vYn/rdH6Ak4CLfT264jKX8efmclwwV/a6HYELQmtrEC5IjLeriCwRkRki8piIdK5qQxG5Gfde21tVv4pbdBJwOO7YVwGf4N5D/XAB82Uiskcd6mpMs/H7Mvjcf2JD4KnJsaS2GzsjZH6Bm84vgWd/Dtcse3NqyLJVYTVbNi9PTw4p9afsx8WgC1JbH2PqW1MOQJ9Q1W9VtRi4AygCDsYFpTep6iRVjanqe8Cn+MDNm6Wq96hqsaoW+nlFwI1+3iRcUPKNqk5U1SgwGthERNoBqOoEVf1GVUtVdQFwJ5WHZ76kql+oagyXrWsH9PfLLgL+paqf+3p+7fdxStz2RcD1qrpaVafisohSx/M1Lq5+g4FngXwR2RLYDRcofe8zjxcCl6vqdFWNquoTuID9oGR3Vg/n5xTgkbjX+HYg/k9sMS443gwIVHWKqs5Itn4AIvJ3YB8qZkVfAbbABY8DgW7AW/68lMkWkdF+292rCMDvUdW5/r31Ki6AHpHw3qrr61greXl5Nm3TTXJ6o9bQPqc8WOyfW1p5/QAI4wLKMGTzDYIKDY192pVPd8+FYHX+muepPsaGnN5igzVPaZnpzkNTqZtNVz/dkMIgqPBId02yCd6bWTahqqGIzMb16esDPCgi98etW9ZEW6aq+2ks8oFQmUJc0BX/HCAXWCEiO+IygdviMnEB0CahzDXbq2qBiJRtj6/nX0Tkkrj1M4DPE+oUjXteELd9bf0H2EhENsUFoOfisqv74QK5T/x57OyP4x3fnFwmC3d+k1IP56c7FV/jmIjEv253+To97Y9rDHCFqi5Msn4X47KXA1V1dtx+JsetNsNn1OfiMuPT/PzNcUH7EFX9s4riE983Vb236vo61kpubq5N23STnG7fImDcMZn8+/sYG7eBa3fNqbxO0WqySiOUZGUB0GPZUvbo1pUXD47wzvSQXTcKGLp5wI1fxli5Gq7YOUL7dk3nGBty+vrdQrIzQqYuCzltq4AebQPi/6w0lXradMVpk7ymHID2Lpvw2ameuEBhFnCDqr5Sw7bJtfXU7EVcdusYVV0pIgcD79Ri+1nAKFW9ax3qkHRbkw/wJuIywb2Br3GZuTNwXQDKuhcswQW6g8v61FYhmfO3rudnHpVf417xx4PLXF4jIl1x2eO7qJhBrpKIXAecBeyjqr+tZfWyY43/OTkJeAh4TUSOVdVxlTczxqzNjl0DRh2QUe3yIFZMSVb5l/eSNm762AERjh1Qvt59f6m+jOYqKyPgut3SP8tlTHWacgA6XETeAH7C9RVsBbyLG6wzQkR+xwUKLYAdgSWq+ms97r8tsALIE5GeuAEztfFPYJQPCr/AZT+3xjUna5JlLMA1WSd7GaZxuEFWn/iBTJ/iMogtcX1my7LJ/wLuFpEzVPV3EWkD7AH8pKp/+P32FJFs3zxelXU9P88Cd8a9xpfhAmYAROQQYCowBcjHdSGIVlFOBSJyF25Q0D6qOq2K5UcCn6vqYhHphgs0v6U8+wmAqr4uIgXAyyJyWvzgMmNM/chv0brC81gzaFY0pqHYveAbz6O4EeLLgOOAg1R1hao+hutv+JRfNhs30jyrnvf/N1z2MA83QKmmjGslflT+mbis3RJcs+19VG6mrsk1wE0iskxEHkli/XG4wPAjX4fluCsIzEnox3gD8Bau7+NK3CWLzqb8/fAKbhDTAhFZLiJ9qtjXOp0f4Bng37is6ULcaPzP4pb388tW4prqi3BN6tUSkV6UB7KTRCTfP+Kb3Y8CJvvgciKwFDhEVStlm1X1A9wgqSdFZGgtj88YsxYtVq2q8Hx1Zn3/GTfGNFVBGDa9EYX+MkzXquroVNfFmCau6X2AjUnSZ7NL2efluBlhSHi5BaEmrTVYnvJvJ0yp8Pf+0Rc2TeucaFPOgBpjjGnGgjDGvlPLGyiO+N/XKayNMU1bLAgqPNJdU+4DauL4fpY/V7N4tKqe3Zj1SRURGQvsVdUyVa1N9wZjTIoNoICPHruZcf23pt2qQjYoyMd1RzfGNHdNMgBV1d6prkNT4y8ltN4HWKp6QKrrYIypH517tmd6/77s/5u7V8QvJyV9KWJjTJprkgGoMcaY9UAQ0PebG/nm8oeItsli17uGp7pGxjRZzeHi8/EsADXGGJM6uS1ZcNCmbrqZfcEaY6png5CMMcYYY0yjsgyoMcYYY0wT19wuRG8BqDHGmJTJf28yW144geJW2UQ335mMTTZMdZWMMY3AmuCNMcakRKyoGA6/g59y2jK/IMbCgXelukrGmEZiGVBjjDEpsXzqUk489lw+2GRbAEZ8+io3pLhOxjRVYcPdZCklLANqjDEmJYqj0TXBJ8DzW++ewtoYYxqTBaDGGGNSon3hKnotX7zm+XYLZqewNsaYxmQBaDMmIiNF5IFarD9eRK6t5T56i0goIt3986EiMqkW248QkXG12WdD88ezZ6rrYUxz1yJazKdP38r5X3/AtZ+9weNvP5rqKhnTZNm94E3aqO/7w4vIMOBaVd2khn0+BzxXj/vsDcwAeqjq3CTWPxC4DNgGyAD+B1ytqp/HrRMCRUAsbtNuqrqivuptjElGSJ/li/n32GdSXRFjTCOzANQ0Nx2AfwOfAvnAmcBYEdlcVefErTdEVSekooLGGC+A0P0HVJw2xjRvFoDWgYjMBB4HBgE74TJ0Q4EtgZuBzsArwNmqWioiTwGDgfbAHOAWVX3el3W632Y7VV0kIl2AH4DrVPWJtdQjBM4DTgMGAJOBYar6q18+CihV1TP8802Bx4DtfZ2fBP6pqvF/8zuIyGvAEGARcImqviUiuwEjgWwRyffrHgzMTKjTMOKypCKSCzzo180DrvP7Hayq4/1mgYjcBpzhnz+sqmWDYcua83/zx3uHqt5c3TnxGdh4D4vIDbjXaU4Vm9RIRDoDbwE/A2cD1wJ7AQoMx3VjuRV4DXjK72cKcJKq/lLb/RmzPgkJ6hZw/v4HHP4PwpVFhDtvTUgGkaG7Ehy5o1u+ugRueBF+nw9nDob9d4CFy+Ga56BgNVx3DGzRox6PxJiG1xya3eNZH9C6OxU4F5dxmwS8AfwF2BbYGjgUOM6vOwHYDheA3gSMEpEtAHyQ+RHwnIhkAc8DH60t+IwzDDgK6IQLsP5d1Uoikgm84+u6IXAELjtY1XHdA7QDHgCeFpFWqvolLgCbrqpt/GN8EvX7F9AXFyBvDRyEaxqPtzcwG9gYd96uFpE9/LKyIbKb+X1WG3xWRUS2xp2bnxIWvSIiS0TkKxE5spptNwW+AN5T1TNUtTSuvr8DXYGTgLuAJ3A/BjoCvwD316aexqyPQjII457Hkg1H97wGfp5LODef8PVJ8Pp3xI4dSfiT76Vzw4twxxvw+kQ47B8wcxGc9E944mN4cQIMuRFisRp3YYxpWBaA1t2jqvqLqpbggsa+wDWqWqCqs4HxgIALMlV1qapGVfVF4Edg37iyzsEFX1/jgppzalGPu1R1tqquBkaV7bMKuwK9gStVtUhVpwP3VbHeS6r6harGgEdxgWj/WtRnDRHJwGWGr1fVRaq6Eri6ilWnqOpIVS1V1Ym4DHB1x1Gb/XfBZSbvVtXf4xYNBvoA3YF7ccH//gmb7w38BxihqrdUUd/H/es5FlgKfJDwfljn+icjLy/Ppm06baeDGkLOGrddVtYIE/dbNhqDGUsAKPklrrGjuBRmL3bZ0DLz/iRv0Z+Ncow2vX5Nm+RZE3zdxf01oxCIqurihHm5IhIBRuCyoV1x3Zxa45rpAVDVQhF5HBcMDVfVwjrWowDIrWa9bsAiVS2KmzerpvJUtUBEqKHMtekEZCfsp8Z9ejUdR1JEZGNcZvlD4Kr4Zar6cdzTl0RkMC5Qfj9u/oW4AUwvJVHfQiq/H9ap/snKzc21aZtO2+llLVrRkXLxwWiN2x62M7z6JQGrCYMc91d1i41h380AyDpnf3j/Bxd87rQJ7Nwfzj8ALveDnU79C7ldOzWZ82DTzWe6Idm94E1tnYDr2zgE+FlVYyKixP2tFZEBuCD1IeB2ERmrqgvquR7zgM4i0jIuCO1ZyzJq22a1BCgGegHTGmmfZSPnPwbeUNXLktxH4kd7GHAl8JqIHOszzMaYelScleX7gbqG+BiZyTXLvXI5vP0NwfxlRIZsD7P/BOlN0DrHLd9/B/jtAZf53Lk/tMiGyw6HIdu5PqC7btpAR2SMSZYFoA2vLVAKLAYifpDOtsAYABFphRuw9E9VvUFEcoAXRGSwqkbrsR4Tcf0sbxeR/wM2Av5eyzIWAF1EpK1vTq+RqkZF5HlghIj8BKzCDdipjcW4ALE/kMxlmAYA44BRqlrpmqYishXQCtfMH+L6pJ4MHJ+waj5wAK4J/10ROUxVC2pZd2NMDbrkL4e4XqAZlCS/8aE7Af6XY5/OlZf37uIe8bbpXcsaGmMaivUBbXhPA18BU3FZyC2Az+OWP4gbbX6jf34BsAEuI1pv/ACaQ4EdcEHdm8CzuAxlsj7FNWvPEJHlIrJPEttchAt8p+CatD/CfeMklVH02drrcEH5chG5Zi2bXInrbvB3EcmPewz1yzvjRqsvw533a3HdHt6uYt+rgMNxfTw/EpH2ydTZGJOcgIoX1C7OsJyIMdWJ+V7TsRp7T6ePIAzDta9lmiUROQu4VFUbrT1KRDYDfsVd+P2PxtpvM2YfYJO2Vk38nezd/4+I/x6a3qELff8cmeJaGbNOGiwyPP7UmRX+3r/4dO+0jkLt5+Z6xN9ecj4wHXdJpCuA0Q28z764wVdf4QYl3Qd8ZsGnMaYgO4cR+5/Abe+/QEF2DrcPPJzHUl0pY0yjsAC0CRORsbiLnleiqm3qUGQP3CWCOuGa4V8Bbq9zBZPTAnc5p9640eGfUfX1R5MiInsBY6tZfJuq3lbXso0xjatDQSEF2Tm0ueUZQkIefe0xIPGKaMYYgLCZXYjemuCNSW/2ATZpK5w6H/qfx7QNNqR18Wo2zFtJJHw11dUyZl00WJR43LBZFf7evzSqV1pHpJYBNcYYkxr9uhLrsRH95rjL6IZH7Z3iChljGosFoMYYY1IiCAIiv93Hd1c9RmnbbHa5qc69c4xp9uxC9MYYY0w9CVpm88eg2t6fwhiT7uw6oMYYY4wxplFZBtQYY0xKTc9vTcuM+rzxmzHNT6yZjYK3ANQYY0zK7P1IARNn7kQsCJjbfjU3DclJdZWMMY3AmuCNMcakxJzlpfw+ZTWb5RWx2cpCHvh4VaqrZIxpJJYBNcYYkxILFpfQcXUpyzMiRELYoKg41VUypslqDvd/j2cZUGOMMSmRGytlVlYm0RAKIwHLA3h3aizV1TLGNALLgBpjjEmJaOtsti9YycbFpQBMbpnN7JV2cy9jqhJtXglQy4DWFxHpLSKhiHRfhzL2EpHl9Vit2uy7u69/70bY11ARmdTQ+6krERkvItemuh7GNHctlhauCT4Beq8q4egB9rVkzPrAMqApIiIjgD1VdXDZPFX9HGifqjo1FlV9Dniu7LmIjAJKVfWMdS1bRDYFbgN2A9oCs4H7VPXxuHXG++UlcZser6pj1nX/xpjkxSIh2atXU5zjRr53W/4nnVvZRemNWR9YAGqamw7Ap8CFwHxgD2CMiPypqq/HrXezqt6SigoakwqrVpaQ0yaTINLI7XjFJbC6FHJbVlqUW1jK5702oNPqGMUZEdpll1ZRQOoUl4TEYiEtciwra1LPrgOaQERmAo8Dg4CdgBnAUGBL4GagM/AKcLaqlorIU8BgXKZvDnCLqj7vyzrdb7Odqi4SkS7AD8B1qvrEWuoRAhcDw4B+gAJnqupUv7wVcDtwJNASmABcqKqz/fLxfl+bAPsCs4DLVHWsXz6ChIyl32ZcVYGMiGwL3O/PQwYwEThfVaeJyHHA1UBERPL9JtsAPX15mb6MTL/eMFxg9R1wkar+zy8f5cteBRwDFAA3qeojNZ0rv21X4FFgH2AhcGcV65wJXAT0AKYDV6rqh3HnYy/gK6Asc/mwqt7gl3fw5Q/Evc/m4t4Dn4vIMOBaVd1ERK7AvV8QkeN9Ob38+rur6vdx9fkM+EhVb67uuFT1K1+nMhNE5H3ca/p6lRvVQEQygAeAHYFDgM2BccApuPdqV+A14HzgHuBoYCVwcULAa0xKRIujjLngW+Z+tZR2PVtx+GO70GbDFo2z8w9/gKPuhPxVcMOxMOL4Couv/S2HFZkRMgpWEUZjLOzcqXHqlYT/flPIvx5bSjQKpx3fnoP3y011lYxpVurrZ92pwLm4IGkS8AbwF2BbYGvgUOA4v+4EYDtcAHoTMEpEtgDwQeZHwHMikgU8jws4agw+4/wNFwB0ASYDb/sAAuA+YFf/6AUsAd6JWw5wOvAvX7fbgDfWoU9kCIwAugG9gXxgNICqvuTLH6+qbfxjehVlXI4LdA7EBTqfAx+JSNu4dY4G3gE6AhcAD4hIryTq9xwQxQW9e+OC3DV88HklLjjsAFwDvC4im8SttjeuiXtj3Gt8tYjsEVf3Vrhz3R44AhdUVqCqd/q6PB13LpbifrSsaZL3Teu7AU8mcWzxx9EK95on9jn9u4j8KSKTReQq/35L3DYXd243AvZV1YV+UQYuoN0aF5Duj/uB8SawAe6HzpN+38ak1PRPFzH3q6UArJhdyI8vzGy8nV812gWfADe+DEtWrlk09c+Q9yYV0nHFKgIgEkKr/KZzGaanX15OSSnEQhj18nKiURscZUx9qq8A9FFV/UVVS3BBY1/gGlUt8BnG8YCACzJVdamqRlX1ReBH3Jd5mXNwAc3XuKDrnFrU4x5VnaqqRcAVuEzoLiISwQXJ16rqPFUtAP6OCx52jtv+TVX9SFVLfT9FBU6s1ZnwVPVHVf1UVVer6grgRmDXWgYlpwF3qOqvqroaF7BHgYPi1vlEVd9W1ZjPuC3HBfjVEpFuuMzkZaq6QlUX+PrFuwiXTZ3ky34P17Qdn8KYoqoj/fmaiMsgi19WjAvGNgMCVZ2iqjNqceyPAieKSFmq5nTgfVWdl2wB/sfFs7hM+zNxi64C+uOy86fjAt2bEjbvhgv4pwJHqmphwvJrVLUw7v09Q1XfVdWY31c7v48GlZeXZ9M2XeN0Vqv439gQZkZrXL8+p0tbZZfvNycLcrLWrNMqCxbl5hIf1kUj5V9JqT5vLVqUN3fmZAcUFDSd19Smm+50Q4oFFR/prr76gM6Pmy4Eoqq6OGFerg8ER+CyoV1xWcLWuEAAAFUtFJHHgXuB4VV88ddkZkI5i4HuvvwcXPeAsuX5IrII17z8ZeL2cc/rNKpdRPoBdwG7ALmw5u9sZ1zzfjJ6JNQ55rs89IhbZ37CNgV+fzUpO6b4eiQGh32AB0Xk/rh5ZU3pyez7LiALeBrYSETGAFfEZRFrpKoTROQP4GgReRH3A+JvyWwL4DOaz+Gylwf4H0dlZX8Zt+pEEbke+AcuMC1zBBAAt/mgMl5V7+81qR3/3oO1vw7rLDc316Ztusbp3nt1YYfT+jJ13AK6bNGOnU8f0Gh1yHz8PDjtAfgzn+DWE9f0A83NzSUXuHknuOe/2bQqLCUWCYhkBrUqvyGnLzpjAx4e9SfFpSHDj+9A27Yt6lSOTa9f0yZ5jT0I6QRctmkI8LMPqBTKL+8vIgNwQepDwO0iMtZn6JLRO66cVrhgby6wGFjtl5f1CW2Da6qfU9X2cc/f89N5uGA53sY11GUk8AewjaouFZGtgJ8oP9ZkrrY8h4rHFPHP51SzfrLKsoi9gGl+unfCOrOAG1T1lbrswGeZrwGu8f1NR+OC0lOqWL26c/EILkOZj8v8vpvMvn3W9FWgDTBEVfPXskkMKt1i4gFcFvMzERlc1lfYmHS020WbsdtFmzX+jjfrBl/cXu3ig/pH+GDMcr7utgGZsZCDf5mF6/GTev16ZXP3DV1TXQ1jmq3GDkDbAqW4gDDiB6NsC4yBNUHjK8A/VfUGEckBXvABQLSaMuNd7AcGzcNltKYDX/lA9xngZhH5GddMfQ/wK66pv8zhIjII16R6LK45+WS/7FvgNhHZEdef8GxclrCmY/0dWC4inajcxLsA6Cki2apaXcenUcAVfvDNTFyfzEySDMSqo6pz/Xm6U0ROww3Kuj5htfuAESLyO+54W+AG4ixR1V/Xtg8ROQQX7E/BBZCrcEFkVRbguidEErKNz+L6U94APJXMe8D/sHgHd4mlA3x3jPjl7YE9ca9xAa67wgjgpcSyVPVyEcnDDWQarKpT1rZ/Y0zyWq9ezZfdO1Gc6boJfLNxxxTXyJimy27FuW6exo1QnooLErfA9bMr8yCwiPL+iBfg+hGOSLL8x3EjnRfjAtvD4oKWi3F9Or/BDZzZCDg0Iah5ArgEWIELyI4q67eoquNx3QLexzU9bwj8t4a6XIwbJb7SH2PiNSZfwWUyF4jIchGpKpi9C3gB+BA3Un0gLqO3sop1a+tEXLeEOb5+8X0kUdXHcCPjnwKW4c7Zdbhm9WT0wwWCK3HBcxEugK7K47js8lJ/LjJ8HZbhMpnb4l6bZByF61O8J7BYRPL9Y6RfngX/396dx8lRVf0f/9yZLASyECCRNRv7LnAQRTbZFBCRRRHZIjvKIsj2hC2AigEB9QEEBAwQRGUXMCgI4QH9gR7AIJuQkAkJkIWQPSHJzNTvj3snqXRm6Rlmpqdnvu/Xq1+p7qq6daq6O3P63Hu7uYT4+ptHTDx/x8rd78u5+5XE5/05M9uuyBhEpAjze63G0soKWFoDy2qY1buwk0lEOquQZZ1jZl/6Gqbd3f2FFu4/jga+UklKJ33d067uvn+pY+mgOscbWLqk8f9dyJdvr2Zhmnw0+NPFVP1yYImjEvlM2qxM+bWTP1jp//snf7NBWZdE9UX00mGZ2eeAk2nG5CMRKR8VNctYWLFilv7M7j0a2Vqka6vRF9GXhpmNJXZpr8Lde7dzOB1e6nI+poHVW3X0STVmdj1wKnCPuz9RsK6hSUXPu/sBbR6ciLSKfj26sXpNNYsqYxLar7qYof4i0hl0mi54kS5Kb2ApW9myGo783kRe6d+f7lnGEfOncdVdGmotZa3NypT7nfLhSv/fP3Xb+mVdEi2bCqiIiHQuoXsloy9ai0cueIEePWs49M6Dmt5JpIvqDF8+n6cEVERESmb1bdahz+mVQCWV/dvpN+pFpOTa+2uYRERERKSLUwVUREREpIOr6WRfRK8EVERESqZqVg1jXh1Czx417L1/xho9O9cfWRGpn7rgRUSkJGpqM354/vv0fbMHvV5dje9f9WGpQxKRdqIKqIiIlETVB0v4qNdqPDpsfbrV1LLbBx+XOiSRDqumk3UOqAIqIiIlMWcp/HO9tQCorqzg7X6rlzgiEWkvSkBFRKQkei5bRq8ly5bfX2v+ohJGIyLtSQmoiIiUxLxePRjx2Ats8cFMdp74Ad989d1ShyTSYdWGsNKt3CkBlbJjZmPN7ILP2MYIM3ustWISkearyODZ7TbntOdf45uvvcdjO21V6pBEpJ1oEpKUHXc/oBXa+GlrxCIiLReyWjafO5fFA/pSAWw2ezawbqnDEpF2oARURKQrm70A7h4Ha/WGo/eAikY6xv7xdrztvS3suPEqq7PajHfGfsinc5ax+dfXZ7V+PZav+3DCQib9ex6Dtu7DRlv2BmDggkUMmrdg+TabfjJ3pfben1PLb1+t4f0FsN/GlXxnK3XaSddV0wm63fOUgHYhZlYF3AbsA+wCVAGnuPs/zKwbMAIYDvQHXgHOdvfXzWxb4B/A1939OTOrAJ4Eprv7sU0csxtwQWp3IPBGatfT+tFAJbAMOAxYCJwHvAX8BtgCcOBod/8w7TMOeNrdf2xmPYH/Bb4JrAZMB0a4+/1mNgS4NZ1rBkwCjnL3/5rZSGA3d983tbk2cAOwfwr9L8A57v5JU9curd8XuBbYGFgK/LuubZEOq6YGvnIZjK+K91+eCL84sf5t/+8N2PtyqKmFnt3hxZ/B54eutMnfb3ib8ffEtt56ZCrfvm9XKrpV8NHERdx+zlvUVGdUVMDwUVsweJs+fNS3D3N6dmfNNBFpat/ey9uavThjl98sYVrKT+8cX8tbs7pxxe6VrXkFRKRE9HGy6zkBOAvoBzwF3JUePx84DjiQ2Af2PPCUmfV19/8AZwP3mdnngEuBDYHTijjeFcAhwNeAtYE7gSfNrH9umyOAB4G1gKuIieeVwKHA54jJ4xUNtH88sDOwpbv3BfYmJrkAPwXeT22sQ0yCZzfQzr3ExHvLdFsHuKdgm4auHcDdwK/Sug2AHzdwHJGOY+a8FcknwF/HN7ztM/+JySfAkmXwf2+ussnUF2ctX5717nwWzVoCQNV/5lFTnQFQWwvvjZ8XlwPcvsMWPDlsA/68yYY8tMWQ5fu/PqN2efIZN854qipr1umJSMelBLTrudXd33D3GuB2YBMz6wd8Dxjl7m+7+xJiAlgDHATg7ncCfyUmXj8CjnD3hY0dyMwCMWE7393fc/cad78D+Kiu3eQZd3/C3WuJidwawD3uPtXdFwEPANbAYZYCvYGtzKybu09x9zdz69YFhqVjv+buM+qJc33gq8C57j7b3WcD5wIHmtl6RVy7umNtDHzO3Ze4+7jGrk1rmT9/vpa13PLl1Spgm0HL77P3tg1vv+fWZBWpC7B7NxbuMGiVbTbYea3lj/UftgY1PWJlc/DWfahIhctQAQM3jnd6L13GJ6v35LnNNuT5jdenNluRYG7UaxED11gRGhWBrwwOHeO6aVnLDSy3peqCW7lTF3zX81FuuS6B7ANsROyiBsDda1O380a57X9J7Jq/O5fkNWYdYnL4mJnlSxfdiRXUVWJy90VmVhjnohRjfcYQK5w3AJua2d+AC9x9ArGqe2k6/hrERPZ/3H1BQRt15zgp99jE3Lq6WBq6dnOJVd4RwH/MbCZwm7v/ooGYW02fPn20rOWWL6/ZD8ZdBXf+LY4BHf6Vhrf/yraEZ6+EF96CfbdnjS9suso2u523JWtv1odP5yxjy0M2pFf/OAZ0/U3X4MSfb8l74+cxaKs+DNk2bt+rehlZjzRONASWrLFizOiQgX148eRabn+lhsnz4aubVHLM1oEQOsB107KWG1iW4ikBlTpTgCF1d9I4zyHpccysF7HLeTRwmJnt6+5PN9Hmx8REbV93/1frhwzuXg2MAkaZ2ZrAjcRu/j3cfSaxAnuWmQ0DHiWOR72soJkp6d8hwIS0PKxgXVNxjAeOTFXf3YC/mtlr7v5MS85LpN2s3QfO/2Zx2+6xdbw1IFQEtvrmRvWu23CL3my4Re+VHpu/2hor3c8KJlkM7V/BT/ZRR51IZ6QEVOqMBi4ws/8jTrC5kPj6eCKtv4mYUJ4E/A2418w+7+4frdpU5O6Zmf0S+LmZneTu75pZb+DLwH/qJhV9Fma2N7EC+RqwmJjw1qR1RwL/TOczl9hNXlNPnB+a2V+B68zseCAA1wFjGzu/XAw9gKOAJ9z9YzObDdTWdywRWaHX0k+JcweTzjXJV6RVdbZZ8PpoKXWuBe4jjvOcTpzMs7+7z0tJ2YHAd9NYyjHAY8DvzKypKamXEyuPj5rZPOBd4uSl1nrtfY44WWg2sYt8MHBKWrcD8BywgDgx6ZV0nvU5BpgP/Bd4G5hDnJRVrCOBt81sAfAn4HJ3f645JyLS1czr3pM4xzBaLfeznCLSuYUs06xCkTKmN7CUrb9PXspu9wWoSS/jkJGN6FnaoEQ+mzYrU+7wgxkr/X//6k0Dy7okqi54EREpiW4ZK5JPgKys/56KtKnqTvb2UAIqn4mZjSDO/q7PAe7+fHvGIyLlY73+leSHSleooC/SZSgBlc8k/aa6flddRJptUL9Kdt2ghn98AJBx4a6aliDSVSgBFRGRknnh+O5c98fnWb2imu9/Ze9ShyPSYVV3sq+JUAIqIiIlE0Jg89XnljoMEWln6u8QERERkXalCqiIiJRUlmWETvYl2yKtbVkne4soARURkZJ5/sZ3mHvNEpb1qGBSvxkM3WNgqUMSkXagBFREREri03lLue2R2dz/3a/So7qG7132Jr8cpwRUpCvQGFARESmJN6bV8Px2m3DwRx/zlVlz+eOOW5Q6JJEOa1kIK93KnSqgIiJSEpW1tew97RO6pZ+E/sLs+cDapQ1KRNqFKqAiIlIS1ZXdqMxW/PpR90y/hCTSVSgBbSdmNsTMMjPb8DO0sbuZzWnFsJpz7A1T/EPa4VhHm9n4tj5OI8fPzGy3Uh1fpKtY3KMCX3dNMmL34j/X61/qkEQ6rGUFt3KnLvgOysxGAru5+751j6XfVV+zVDG1F3e/F7i37r6ZjQaq3f2k1mjfzDJgMVCbe3gDd9e3YYu0o8qslvFr9uX1fn2oJdA9q216JxHpFJSASle1v7u/UOogRLqyymrIQqA6TaioqS3/iRUiUpw2T0DNIWk7/AAAPshJREFUrAq4HdgH2BmYBBwNbA1cBQwA7gdOc/dqM/stsC+x0jcF+LG7/y61dWLa5/PuPsPMBgL/Bi519zuaiCMDzgGGAxsDDpzs7hPS+tWBq4HDgF7AC8BZ7v5+Wj8uHWsTYC9gMnCeu49N60dSULFM+zzt7j+uJ57tgV+l61AJvAic4e4TzexIYARQYWYL0i7bAYNSe91SG93SdsOB/sArwNnu/npaPzq1/SnwLWAhcKW739rYtUr7rgvcBuwJTAeuqWebk4GzgY2A94AL3f2vueuxO/ASUFe5/LW7X57W90/t7018HU4lvgaeN7PhwCXuvomZXUB8vWBm30ntDE7b7+rur+bi+T/gKXe/qqnzK5aZDQAeBd4ETgMuSeflwAnEYSw/AR4Efkt8jb8DHOPub7VWHCKtpWpuxolja5ixMOPyL1dyxBZNjMT6YBaccFP8938Og6P3bLVYKsjYbPYC3unfB4AdZ8xmmxtquXDPHhy7Y/fiG1q0BE75Nbw8EY78Moz8TtP7iJSZRZ1g5ntee40BPR74PjFJGg88DHwF2B7YFvgGcGTa9gXg88QE9EpgtJltBZCSzKeAe82sO/A7YsLRaPKZcwpwBDAQeAP4k5lVpnU3AF9Mt8HAx8BjufUAJwK/TLH9FHj4M4yJzICRwAbAEGABMAbA3f+Q2h/n7r3T7b162jgfOA44EFgXeB54ysz65rY5AngMWAs4E7jRzAYXEd+9QA0x6d2DmOQul5LPC4nJYX/gYuAhM9skt9kewPvA+sTneISZfTkX++rEa70mcCgxqVyJu1+TYrkrdy1mET+0LO+SN7PNgC8BdxZxbgD3m9nHZvaSmR1W3wapzX8Af3b3k9y9Onde7xKv+THAtcAdwA+I1/kt4ocLkQ7n+3+t4ZnJGa9/DEc/XsMni5uY+HP2HfDXf8MbU2D4jfDhJ60WS6iFAyZP49CJU/nuf99n21nzeGN6Ld974FM+mNuM7vjrHoV7/w/e/gCu+CM8XbIh5CJSpPZKQG9z97fcfRkxaRwGXOzuC1OFcRxgEJNMd5/l7jXu/nvgNWLFsc7pxITmn8QE4PRmxHGdu09w98XABcRK6C5mVkFMki9x9w/cfSHwQ2BL4Au5/R9x96fcvTqNU3Tgu826Eom7v+buz7r7kjT28Argi6kSW6zvAaPc/W13X0JM2GuAg3LbPOPuf3L3Wnd/CJhDTPAbZGYbECuT57n7XHefluLLO5tYTR2f2v4z8CyQLz284+63pOv1IrGCbGndUuL3rWwOBHd/x90nNePcbwO+a2arpfsnAk+6+wdF7LsvMBTYELie+IHmawXb7AE8B4ysp4L9jrvfnl6jY4FZwF8KXuNGO5g/f76Wtdys5VkLa5YvL62BRcsa37561jxW3KmBBZ+2Wjzdaqu5f5MNeHjzjbhvq0GMWz9OQqqphWmfLCy+zTkrtgVY/OHHnzk2LWu5JctSvPYaA/pRbnkRUOPuMwse65MSwZHEaui6xCrhGsRuegDcfZGZ3U5MHE5w90XNiKOqoJ2ZxCRkANCTODygbv0CM5tB7F7+f4X75+63aFa7mW1MrJztAvQhnisplslFNrNRQcy1acjDRrltPirYZ2E6XmPqzikfR2FyOBS4yczylb66rvRijn0t0B24C1jPzB4HLnD36U3EBoC7v2BmHwJHmNnviR8gTily37/l7v7BzPYlVnKfzD1+FvA68Id6mig8r0Ws+hpv6hq3ij59+mhZy81a/sle3Tn04RoWLIVzd65gw76h0e27XfldOPinMHcRnPZV2Gz91ountpYP11wDiGNBq/r3hUXVnPKF7uw0dLXi2znrIHjoJaiaAV/Zhl5H7vHZY9Oylluw3JYWd64e+A43CekoYrfq/sCbKaFyYPllN7MtiEnqzcDVZjY2VeiKMSTXzurEZG8qMBNYktbXjQntTeyqn1Lf/rn7f07L84nJct76jcRyC/AhsJ27zzKzbYD/sOJci+l/msLK51SR7k9pYPti1VURBwMT0/KQgm0mA5e7+/0tOUCqMl8MXJzGm44hJqXH1bN5Q9fiVmLlcwGx8vtES2JJ7Re+tYcThxg8aGbfThVmkbK375AKZpwRWFQNa/cq4i/a7lvBtDtj5XOdvk1v3wwLeq0GWQa5sW0zL12DddZoZufc4IHw7k3wyXwY0G+l9kSkY+poCWhfoJqYEFakySjbA4/D8qTxfuAX7n65mfUE7jOzfd29poE2885JE4M+AH5GnDjzUkp07wauMrM3id3U1wFvE7v663zTzPYhDhn4NrGb9di07mXgp2a2E3Gc62nEKmFj5/ouMMfM1iF2n+dNAwaZWQ93X9pAG6OBC9LkmypiwtSNlidiALj71HSdrjGz7xEnZV1WsNkNwEgze5d4vqsBOwEfu/vbTR3DzA4mJvvvEBPIT4lJZH2mEYcnVLh7Phm9hzhx7HLgt8W8BlKivzpxOEBGHK5wLCsPHSDFdABxctETZnZISppFyl6v7oFezZjjw2o94q2V9V+8hCEff0rV2n0hy9h56kzWWWNQyxrrVgkD12zV+ESk7XS0L6K/izhregIxSdyKOLGmzk3ADFaMRzyTOI5wZJHt3w48RExwtwcOySUt5xDHdP6LOHFmPeAbBUnNHcC5wFxiQnZ43bhFdx9HHBbwJLE79nPA3xuJ5RzibOp56RwfL1h/P7GSOc3M5phZfcnstcB9wF+JM9X3Jn690Lx6tm2u7xKHJUxJ8d2dX+nuvyHOjP8tMJt4zS4ldqsXY2Pi5Kh5xOR5MTGBrs/txOryrHQtKlMMs4EHiM/lHUUed0Au5hnEWe0nuPufCjd090+BbxLHeD5lZmsWeQwRKULfpYv45oQp7DJpOl+Z8CEHTmzOMHCRrmUpYaVbuQtZF/nps/Q1TLu39LsfG/tKJSmd9HVPu7r7/qWOpUS6xhtYOqUX3lvCEb/8hOlrxDF0202fyvg7tihxVCKfSZtlhuGHn6z0/332i7XKOgvtaF3wIkUzs88BJ1Pk5CMR6VhqCcuTT4DX1m3xLxWLSJnpNAmomY0ldmmvwt17t3M4HZ6Z3UL8Dsv6bFX3BfwdlZldD5wK3OPuTxSsW1D/Xjzv7ge0eXAiUpRu3QJUBqhJhZ3uHW1UmEgHUtb1zlV1mS54kU5Kb2ApWwuW1tLn58ugNr6Me/UILLqgZ4mjEvlM2q4L/pyCLvgbyrsLXh83RUSkJHr3qOD2A7qxekUN/SuX8sIxnaZTTqT1hbDyrczp3S4iIiVz4g6VDJz6DAA7rn9wiaMRkfaiCqiIiIiItCsloCIiIiLSrtQFLyIiJbNwacafZw+id+VSvp5lhE4wtk1EmqYEVERESiLLMob9poYZi7cG4PUHaxh7hP4siXQFeqeLiEhJvD2rhhmLV9x/sqpkoYh0fJ2sd0BjQEVEpCQ+ml/qCESkVJSAiohIaXSugo6INIO64EVEpDSUgIoUr5O9Xz5TBdTMRpvZ7bn7b5jZkZ89rGbFsLuZzWnPY3ZGZnaLmd3YSm1VmVlDvzMvIgJAbW2pIxCRUmnVCqi7b92a7RUys5HAbu6+b+6YzwNrtuVxS8XM9gKedvc2r1S7+2ltfYyOwMxGA9XuflKpYxHp6io7WUVHRIqnLvgyZ2aVQObuqiWISFmpzUodgUg56Vyf2IpKQM2sNzASOAwYAEwBTq1nuyrgEncfU1e9A44DrgLWBR4EzgCuA44A5gHnuPtDaf/tgV8BWwOVwIvAGe4+MXXtjwAqzGxBOuR2wCByVUIzC8DJwJnAYGAuMMrdG+xeNrNzgStzD1UCqwH93X2Ome0JXANsAXwE3ODut6Z9687zaOCnwDrAX4AT3X1+2mbttP/+qd1ngTPdfXojMa0PjAUqc+f7A+A5YBJwEvAjYGNgsJn1TNfuy8DidK3/x90Xp/Yy4BxgeNrHgZPdfUJaP5pcZdDMBgA/A/YjVpgnAEe5+3/N7GzgdGADYDZwL/F5r2nofBo4x3HAK8BQYF9gBnAK8V32C+Jz+zfguNy1HFzEef4A+B7x+XoDGO7ub5vZBcTnCTP7TgqjH7ANDbzuctemEvgU+BawELiy7jWQttkduBrYKl2Tm4Hr3V1/YkUaEPTuEOmyih0DegewC7AP0Bf4BjERa0olsBewLbAl8DXiH/dHgLWJf7DvNLPV0/YZMdHdABgCLADGALj7H4gJ3jh3751u79VzzNNSG6cTE6cdgJcaC9Ldr69rM+0zDngYmGtmQ4EngV+nmIcDV5vZtwrOc39ge2CzdMyzYHlC/Eg6t22ISfF84HdNxPQhcABQkzvfu3KbfBfYG+hDTHieAKal9r9ITNB+XtDsKcTEfyAxMftTqqCuxMwqgD+la7Fz+nd4ihtgaoqtL3AIcAIxIW6JY4mJ7prAH4B7Upx7EF8Dm7PiWnYr8jyHA4cTPwxMAf4XwN2vISbLd+WuaQ2NvO5yjgAeA9Yifri5MSXDmNlWwJ+Ba4kf0A4iftA6toXXRKRLyDpXQUdEmqHJBNTMBgLfBk5z90nunrn7hLrKWREudvdF7v4+MbGb5O5PpC7ju4kVqE0B3P01d3/W3Ze4+1zgCuCLuQS1GGcCP3H3F9y91t0/dvd/NWP/W1JMR6fq1VHAK+4+2t2r3f1F4FZWTbgucvcFqar5CGDp8Z3S7QfuPtfdFwEXAHub2YbNiKvQFe4+zd2XpvY3Bc5194Xu/gFwCXBCSoDrXJeeu8Upho2JHywKWbqd4O7T03V8LSXFuPuDudfCq8SkcZ8Wnscf3f2llAiOAdYDrnX3T9z9E+BxVlzLLxR5nte6+/vuvgQYndu/XkW+7p5x9z+la/EQMAf4fFr3feB+d3/U3Wvc/W3gRmL1v03Nnz9fy1ou6+WVZfVuo2Utl8tymwoFtzJXTBf8kPTvOy1ov8bdZ+buLyJ2uwPg7ovMDGIVDzPbmFhF2iU9Vve/0QBgcpHHHNLCWDGzy4DdgV3runSBjYhd3nkTiZW/OoXnuZB0TsTu5Z7A9HSudT4ldjFPbUmsQFVueSNgprsvLIhxNeK1m1G4T7r2M4H6kuAhwIyUjK3CzI4CzgWGEV9DPYiV7ZbIV9IXNfBY3bUs9jzz++efi3oV+borrPgXPsd7m9lhufUVxOprm+rTp4+WtVy+y6v8EQ2Nb69lLXfwZSleMQloVfp3U+DNtgsFiNXHD4Ht3H2WmW0D/IcV/ysVM9GmihjrU805sJkNJ1aydnX3WblVU4ADCzYfRvHJxWRisrJWCyYKNbZ9ft0UYICZrZ4qrHUxfgrkE+MhdQupujeA+hPgKmCgmfV193n5FWa2EbFSeRgw1t2XmtnPaaLK2EqKPc/G1HdNm3rdNWUycKe7/6DI7UWETvfLgiLSDE0moO4+w8weAG5OSdpkYtdtW+gLvAvMMbN1WHliEMSxf4PMrEfqeq7PTcAIM3uVOPZzLWBoY93wZrYfcdLLfvWMK70PuNTMjiOO29yROAHr9CLPyYHxwK/M7PKU4AwA9nH33zex7zTiJKSh7l5Yhc37J3GS0HVm9iPieMqrgN8WTII5J038+YA47vI96h8f68TJQbeb2RnAx8Txqx8DvYnVvZnAMjP7InGs41tNnEtrKPY8GzON2L1ekftA0NTrrik3A8+Z2ZPE8cIZcSzwAHd/rpltiXQZmoQk0gyd7ANbsZOQTgD+TZyBPR94lDirvbWdQ+wCnwc8Txz/l3c/sQo2zczmpAlChW4mTm66I7XzCnEiTWOOJiZWz5rZgtytX0r8DiROKplFHO94qbv/sZgTSknOIcSXzstmNp/YXb1XEfu+Q5z89M90vsc2sF018HVid/r7xETtJeC8gk1vBx4iJo/bA4fUN3M9xXwwcZb5v4njHe8Eerv7W8DlxNfAHOAiYpLe5ppxno25HVgDmJWuaSVNv+6aiuv1FNcPiV31M4hjTwc0px2RrkbfHSfSdYUs00fQriB9PdHu7v5CqWORVqU3sJStp6uq2e+BlR/LztPXU0tZa7M6Zbhg7kr/32fX9Cvrmqje6SIiUhKqf4g0R1nnm6voMgmomY0ldrOuIn3/Z7szs0E0PLFrjJf5z2Oa2QjijwfU5wCPP6MqIl3UOr1KHYGIlIq64EXKm97AUrZqajPW+EUNS9Jg0K3WgjdO6DJ1Eemc2rALfl5BF3zfsi6JFjsJSUREpFVVVgTeO6WSffpO4dD+E3n5uMpShyTScXXBL6IXERFpE+v3Dpy93usArNZt8xJHIyLtRRVQEREREWlXqoCKiIiIdHidoN89RwmoiIiUzGMTajlh4l70qqhmq9m1bNxfHXMiXYHe6SIiUhKfLqvlG4/U8nF1L6Ys7cMOd+u3kUS6ClVARUSkJF6evnLCOX9ZiQIRKQedqwdeFVARESmNT6tLHYGIlIoSUBERKYlOVtARkWZQF7yIiJSEfohPpBk62Se2sqyAmtloM7s9d/8NMzuynWPY3czmtOcx24uZDTezCaWOo5CZVZnZMSU6dru/xkRERDqrTlEBdfet27J9MxsJ7Obu++aO+TywZlseVzqOYl9jZjYcuMTdN2nbiERERMpXp0hApWMzs0ogc3d9x4qIrKAueJFm6Fx98B06ATWz3sBI4DBgADAFOLWe7aqIVacxZrYX8DRwHHAVsC7wIHAGcB1wBDAPOMfdH0r7bw/8CtgaqAReBM5w94mp23UEUGFmC9IhtwMGAU+7e7fURgBOBs4EBgNzgVHufmMj53cucGXuoUpgNaC/u88xsz2Ba4AtgI+AG9z91rRv3XkeDfwUWAf4C3Ciu89P26yd9t8/tfsscKa7T28opoL4LgR+mOK6B7jI3ZelddsBvwB2AGYDdwJXu3uNmQ0BJgEnAT8CNgYGm9myxuIxs7OB04ENUpv3Ep/XmmLizcU9DngFGArsC8wATiG+e39BfO7+BhyXu1aDia+BLwOLia+Z/3H3xWl9FSteY/2B24C9ie+hqcBpQDVwC9Aj91r5uruPa078Il1GWQ4CE5HW0NHf/ncAuwD7AH2BbxATsaZUAnsB2wJbAl8jJpWPAGsDVwN3mtnqafuMmOhuAAwBFgBjANz9D8QEb5y790639+o55mmpjdOJXfM7AC81FqS7X1/XZtpnHPAwMNfMhgJPAr9OMQ8HrjazbxWc5/7A9sBm6ZhnwfKE+JF0btsQk+L5wO8aiylnMDFRGwZ8CTgYOD+13Q94iphArgscBJwAnFvQxneJSVofYGYR8UwFDiA+14ekNk8qMt5CxwI/I17XPxAT6FOAPYjP8easuFbdgCeAaSmuLxIT0Z830Pb5wOpp2zWBQ4Gp7v7/iK+D93KvlXEtjL8o8+fP17KWy3Y5rFLQyRrdXsta7ujLUrwOWwE1s4HAt4Ft3H1SenhCWldMExe7+yLg/VQRW8Pdn0j7301M7DYFxrv7a7n9lpjZFcB/zGz11EYxzgR+4u4vpPsfp1uxbgH6AYe5e2ZmRwGvuPvotP5FM7uVmJDdn9vvIndfACwws0eAuouzU7rt6+5LAMzsAuBjM9vQ3ac2EU8tcH6qAE40s2uAC4jJ+EHAUuDH7p4Bb5nZKGICem2ujSvcfVo6tjUVj7s/mNv3VTO7h/jh49YmYq3PH939pXScMcD/ANe6+yfpscdZca2+QHwt7OLuC4GFZnYJ8IiZnZHOMW8p8UPB5sCr7v5OC+JrFX369NGylst2edUOxdDo9lrWckdfblOdqwe+4yagxCoVQEv+uNe4+8zc/UXEbncA3H1RSmL7AJjZxsTEaZf0WF3CMQCY3Ix4W5SImNllwO7ArnVdvsBGxG7svInEymCdwvNcSDonYvdzT2B6QcL+KbGy2VQCOqMg+a4CNszFNrkgMZuYHqdgnzpNxpOS7nOJVdduQA9i5bol8pXyRQ08VnetNgJmpuSzzkTiMIEBxC78vGuB7sBdwHopmb2g2KENIhJpULhI19WRE9Cq9O+mwJttfKxbgA+B7dx9lpltA/yHFZ83ivl/sooY61PNOXCaNf19YvI5K7dqCnBgwebD0uPFmExMSNdq4eSfgQUV4CGsSFqnEMd0hlwSWl9s+eM2Go+ZbUQc9nAYMNbdl5rZz1lRpWxLU4ABBec7jJgczyzcOCWqFwMXm9m6Ke5rieOO9TdVpFh6t4h0WR12DKi7zwAeAG42syFmFsxsEzNri6+36UtMjuaY2TqsPDEI4tjAQWbWo5E2bgJGmNmXzKzCzNYxs50bO6iZ7UecFHNwPeNK7wN2MrPjzKybmX2BOAHrjiLPyYHxwK/SZCTMbICZfafI/SuAUWbWy8yGAecRK34Qx0v2JJ5vDzPbHLiwidiaiqd3OuZMYJmZfZE4jrM9/JM4vOM6M1vdzNYnTmD7bT3d75jZwWa2ZZrdv4CYqNak1dOIyXvfdopdpHxpFrxI8UJY+VbmOmwCmpwA/Bt4jjhh5VHipJfWdg6xC3we8DzweMH6+4lVsmlmNidNECp0M3Fy0x2pnVeARhNQ4gz23sCzZrYgd+uXxr0eSJy9P4s4ieZSd/9jMSeUqoyHEKu4L5vZfGJ39l7F7E+sWE4lDgN4iTgh6prU9lzi5Kd9genE2fd3A9e3NB53fwu4nPgczwEuIibhbc7dq4GvE4cYvE9MSF8iJt312Rh4jPg8VxFnzV+Y1j1LrIJPSq+VPdsucpEy19H/AolImwmZfgtNpJzpDSxl62/vVbPvQys/lp3XkUeGiTSpzUqT4eKFK/1/n/1kjbIug+rzp4iIlERlZakjEJFS0UfNNmZmY4nd+6tI3//Z7sxsEA1P7Brj7qe1ZzzNZWYjiD8OUJ8D0s+kikgHt+lagXwRv6zLOSLSLOqCFylvegNLWfvaA9X8pQog42e7V3DhLiqLSllTF3yRVAEVEZGSefKIbtz24N9YraKa43b5aqnDEem4yjrdXJUSUBERKan1ehT7g3Mi0lloEpKIiIiItCtVQEVEpKSmLl2DXqG61GGIdHCdqw9eCaiIiJTMPn+s5pn39wAypv6/ai75kv4siXQF6oIXEZGSmDq/hmfer7sXuOzvpYxGRNqTPmqKiEhJvDNr5W8R03eKiTSic/XAqwIqIiKloYRTpOtSAioiIqWhDFSky+pyCaiZjTaz23P33zCzI9s5ht3NbE57HrO9mNlwM5tQ6jgKmVmVmR3Twn2rzWyvVg5JRESkeKHgVua6/BhQd9+6Lds3s5HAbu6+b+6YzwNrtuVxRUQ6vE7wR1REWqbLVUClvJhZpZl12NepmXUvdQwi5SooARXpsjptBdTMegMjgcOAAcAU4NR6tqsCLnH3Mamb9WngOOAqYF3gQeAM4DrgCGAecI67P5T23x74FbA1UAm8CJzh7hNT1/4IoMLMFqRDbgcMAp52926pjQCcDJwJDAbmAqPc/cZGzu9c4MrcQ5XAakB/d59jZnsC1wBbAB8BN7j7rWnfuvM8GvgpsA7wF+BEd5+ftlk77b9/avdZ4Ex3n95QTAXxXQj8MMV1D3CRuy9L67YDfgHsAMwG7gSudvcaMxsCTAJOAn4EbAwMNrNljcVjZmcDpwMbpDbvJT6vNcXEm4u7D3AjcDAwH7isYP1IYA/gFeBY4BUzmwdMc/ezc9udQHzuN3V3jXQTqUemd4ZIM3SuT2wdtrLUCu4AdgH2AfoC3yAmYk2pBPYCtgW2BL5GTCofAdYGrgbuNLPV0/YZMdHdABgCLADGALj7H4gJ3jh3751u79VzzNNSG6cTu+Z3AF5qLEh3v76uzbTPOOBhYK6ZDQWeBH6dYh4OXG1m3yo4z/2B7YHN0jHPguUJ8SPp3LYhJsXzgd81FlPOYGKSPQz4EjGZOz+13Q94iphArgscBJwAnFvQxneBvYE+wMwi4pkKHEB8rg9JbZ5UZLx5vwA2BbYiflg4hHit8vYgvpY2Ag4HbgWOMbOeuW1OAm5X8inSsM7151REmqNTJqBmNhD4NnCau09y98zdJ7h7sZNjLnb3Re7+PjGxm+TuT7h7LXA30I+YpODur7n7s+6+xN3nAlcAX8wlqMU4E/iJu7/g7rXu/rG7/6sZ+9+SYjo6JTxHAa+4+2h3r3b3F4lJUmFCdpG7L0hVxEcAS4/vlG4/cPe57r4IuADY28w2LCKeWuB8d1/s7hOJlcvhad1BwFLgx+mavQWMqie2K9x9mrsvJSbHjcbj7g/mnutXiVXXfYqIdbnU1X80cGk69lzgwno2nezu17n70hTLs8As4NDUzpbEazm6Ocdvifnz52tZy2W7XLtKBpo1ur2WtdzRl9uUJiGVhSHp33dasG+Nu8/M3V9E7HYHwN0XmRnEyhxmtjFwLbHa2ocV/4MOACY3I96WxIqZXQbsDuzq7ovTwxsRu7HzJhKreXUKz3Mh6ZyAoUBPYHo61zqfEiubU5sIa0ZKzOpUAXWJ60bEBC5fGZyYHqdgnzpNxmNmRxGrqMOIr+sexMp1cwxIx8kfu/A6QsHz6u6Zmf2GmET/Pv37uLtPa+bxm61Pnz5a1nLZLles0j8QGt1ey1ru6MtSvM6agFalfzcF3mzjY90CfAhs5+6zzGwb4D+s+J+0tog2qoixPtWcA5vZcOD7xORzVm7VFODAgs2HpceLMZmYkK6Vqr7NNdDMVs8loUNYkbROIY7pDLkktL7Y8sdtNB4z24g47OEwYKy7LzWzn7Oiolusj4nV2SHEpLgu9kL1XZPRwJVmthlxbOjxzTy2SJejMaAiXVen7IJ39xnAA8DNZjbEzIKZbWJmm7TB4foSk6M5ZrYOK08MApgGDDKzHo20cRMwwsy+ZGYVZraOme3c2EHNbD/ieMWD6xlXeh+wk5kdZ2bdzOwLxAlYdxR5Tg6MB36VJiNhZgPM7DtF7l8BjDKzXmY2DDgPuCute4JYZRxhZj3MbHNiN3djsTUVT+90zJnAMjP7IjEJbJY0Yel3wBVm9jkz6wv8rMh9ZwKPEiugi4mTukRERKQenTIBTU4A/g08R5yw8ihx0ktrO4fYBT4PeB54vGD9/cTq3jQzm5MmCBW6mTi56Y7UzitAowkocaxib+BZM1uQu/Vz90nECugZxLGJ9xDHNf6xmBNKVcZDiFXcl81sPrE7e69i9idWLKcSu69fIk6Iuia1PZc4+WlfYDoxUbsbuL6l8aRxpJcTn+M5wEXEJLwlzk5xv02sZD8G1BS5763E8ap3trByLNKlVHSCcWwi0jIhUx+ISKtIHy7eBYa6e7HDHT4rvYGlbD0zuZp97l/5sey8zjoyTLqINvtYFS5fvNL/99kVvcr6I5ze6SKtwMy6EYcSPNyOyadIWVP9Q6QZyjrdXJUS0A7MzMYSu/dXkb7/s92Z2SAantg1xt1Pa894msvMRhC/IL4+B6SfSW1um0Yc6vEe8PXPEJ5Il7KafkdMpMtSF7xIedMbWMrWp8tq6fXLFcOl1+wBs89SXUTKWtt1wY8s6IIfWd5d8J15EpKIiHRgq3Wv4M+HVTCw2yKG9JjLq8frT5JIg0JY+Vbm9FFTRERK5oBhFdy+8XMADOl3cImjEZH2oo+bIiIiItKulICKiIiISLtSF7yIiJTM+3Nrue7D7ehbuZR9l2X06l7+Y9tEpGlKQEVEpCRqajM2u7OWJTUbALDj3TW8daL+LIl0BXqni4hISYyfUcOS3A/dvj27dLGIdHidrHNAY0BFRKQkZi8udQQiUipKQEVERESkXakLXkRESqKistQRiJSTztUHrwpoATMbbWa35+6/YWZHtnMMu5vZnPY8Zjkxs8zMdmvH400ws+HtdTyRrqK2tultRKRzUgW0Ce6+dVu2b2Yjgd3cfd/cMZ8H1mzL44qIiIiUiiqg0qWYWfeO3J5IV9K5OhRF2lgouJW5LlsBNbPewEjgMGAAMAU4tZ7tqoBL3H2Mme0FPA0cB1wFrAs8CJwBXAccAcwDznH3h9L+2wO/ArYGKoEXgTPcfWLq2h8BVJjZgnTI7YBBwNPu3i21EYCTgTOBwcBcYJS739jI+Z0LXJl7qBJYDejv7nPMbE/gGmAL4CPgBne/Ne1bd55HAz8F1gH+Apzo7vPTNmun/fdP7T4LnOnu0xuKKe03HLgE+A3wwxTXPcBF7r4sbbMd8AtgB2A2cCdwtbvX1NPehsDtwE5AD+A14Ifu/nJaPxLYA3gFODb9e0Aj8XUHRgHHALXADQ3EfytwNjDXzB4HtnD3Q3Lb7Q08Aqzn7gsbuyYiXVVtVuoIRKRUunIF9A5gF2AfoC/wDWIi1pRKYC9gW2BL4GvEpPIRYG3gauBOM1s9bZ8RE90NgCHAAmAMgLv/gZjgjXP33un2Xj3HPC21cTqxa34H4KXGgnT36+vaTPuMAx4mJkxDgSeBX6eYhwNXm9m3Cs5zf2B7YLN0zLNgeUL8SDq3bYhJ8Xzgd43FlDOYmGQPA74EHAycn9ruBzxFTGjXBQ4CTgDObaCtCuDm1Oa6xATzoYLK5B7E53Yj4PAmYrsI+DqwKzCU+JwNLthmCLA+sCmwM3AbcICZrZfb5iTgd0o+RRoWlICKdFldMgE1s4HAt4HT3H2Su2fuPsHdJxTZxMXuvsjd3ycmdpPc/Ql3rwXuBvoRkxPc/TV3f9bdl7j7XOAK4Iu5BLUYZwI/cfcX3L3W3T929381Y/9bUkxHu3sGHAW84u6j3b3a3V8kVvROKtjvIndfkKqajwCWHt8p3X7g7nPdfRFwAbB3qkg2pRY4390Xu/tEYiV1eFp3ELAU+HG6Zm8RK5KFsQHg7u+7+5/S87GYWJ0cRLr+yWR3v87dl6ZYG3Mcsbo8IbV3HjHRzltGvDaL03EnAv8HHA9gZv2BQ4lV3jY1f/58LWu5fJdX+QuUNb69lrXcwZeleF21C35I+vedFuxb4+4zc/cXEbvdAXD3RWYG0AfAzDYGriVWW/uw4n/YAcDkZsTbklgxs8uA3YFdU0IFsRI4qWDTicAhufuF57mQdE7EymBPYHo61zqfEpO/qU2ENaMgEawC6hLXjYgJYz7pm5geX4WZrQNcT6xKr0lMbiFe3zrFXmdSHFV1d9x9oZnNKNjmI3dfUvDYrcBPgJ8Ru+/fqhsG0Jb69OmjZS2X7fKqw9hCo9trWcsdfVmK1yUroKxIMDZtbKNWcguxe3o7d+8LfDk9Xvc/bTFfRFJFC2JN4xW/Dxzg7rNyq6awIgmvMyw9XozJxIR0LXdfM3fr5e7/KGL/gQUV4CGsSFqnAINTN38xsV0NrAfskq5vXaKa3785X/byAblrY2ZrsHIy21B7jwB909jaE2mH6qdIuVMPvEjX1SUroO4+w8weAG5OSdpkYOM2Olxf4F1gTqrWXVmwfhowyMx6uPvSBtq4CRhhZq8Sx36uBQxtrBvezPYjTuTZr55xpfcBl5rZccRxmzsSJ2CdXuQ5OTAe+JWZXe7us8xsALCPu/++iP0rgFFmdgExeTwPuCuteyLFPcLMriVWWy8kVhjr05dYhZ6dJpaNKvIcGnIPcL6ZjQM+JA4PaPKDmrsvM7PRxElLm1L8eFiRLqsTTOQVaT+d7A3TVSugECe2/Bt4jlihfJQ4iaW1nUPsAp8HPA88XrD+fmJ1b5qZzUkThArdTKz03ZHaeYU4+aUxRwO9gWfNbEHu1s/dJwEHEmfvzyImXZe6+x+LOaE01vUQ4tvhZTObT5yItVcx+xMT/qnEYQAvESdEXZPankuc/LQvMJ04+/5uYjd7fS4DBqbzeA34B1BTZBz1uTod88UU3/sU34X/G+DzwB/TeYhIIzrZ31MRaYaQZeoEkfZT9zVG7r5JqWNpbam7fgax6lzMUITWoDewlK1nqqrZ54GVH8vO65Idc9J5tNnnqvDjJSv9f59d0rOsP8N15QqoSKtJY1Z/CLzZjsmnSHnTxyeRLksfNcuYmY0ldu+vIn3/Z7szs0HAmw2sHkPs2i4ZMzuahseTnuru97agzYHAe8Tq57ea2FxEkvU1eViky1IXvEh50xtYylaWZaz36xqmpy9lO3AoPHG46iJS1tQFXyS900VEpCRCCEw6uZILfv8qfSqX8dPDdyl1SCIdVyjrfHMVSkBFRKRkenUP7L/mB6UOQ0TamSYhiYiIiEi7UgVUREREpKPrXD3wSkBFRKR0fvpiDZf996t0D7U8PrmWfQarY06kK9A7XURESmLukloufiGjhgo+zbpx4IO1pQ5JRNqJElARESmJ8TNWTjiXKv8U6TKUgIqISEksqyl1BCJSKkpARURERKRddcoE1MxGm9ntuftvmNmR7RzD7mY2pz2PWU7MLDOz3UodR7HMbKyZXVDqOEREpIsKBbcy1yVmwbv71m3ZvpmNBHZz931zx3weWLMtjyvtx90PKGY7M9sLeNrdu8R7S+Qz0ZhPkS6rU1ZApXMzs+6ljkFEPrtO9suCItIMZV2lMbPewEjgMGAAMAU4tZ7tqoBL3H1MXYUKOA64ClgXeBA4A7gOOAKYB5zj7g+l/bcHfgVsDVQCLwJnuPvE1LU/AqgwswXpkNsBg8hVwswsACcDZwKDgbnAKHe/sZHzOxe4MvdQJbAa0N/d55jZnsA1wBbAR8AN7n5r2rfuPI8GfgqsA/wFONHd56dt1k7775/afRY4092nNxRT2m84cAnwG+CHKa57gIvcfVnaZjvgF8AOwGzgTuBqd19l2oGZbQjcDuwE9ABeA37o7i+n9SOBPYBXgGPTvw1WJM1sdIppGfG1sRA4D3grxbwF4MDR7v5h7lrckK4F6Vqd4+6fpPXjiM/nj82sJ/C/wDfTdZtOfA38HRgLVOZeCz9w97savpoiXVdW6gBEykrn+sRW7hXQO4BdgH2AvsA3iIlYUyqBvYBtgS2BrxGTykeAtYGrgTvNbPW0fUZMdDcAhgALgDEA7v4HYoI3zt17p9t79RzztNTG6cSu+R2AlxoL0t2vr2sz7TMOeBiYa2ZDgSeBX6eYhwNXm9m3Cs5zf2B7YLN0zLNgeUL8SDq3bYhJ8Xzgd43FlDOYmGQPA74EHAycn9ruBzxFTGjXBQ4CTgDObaCtCuDm1Oa6xATzoYJK5x7E53Yj4PAi4juC+MFiLeIHjd8Qk/lDgc8Rz/uK3Pb3Av2Jr4ctiQn7PQ20fTywM7Clu/cF9gbeSMnsAUBN7rWg5FOkAZWd6++piDRD2SagZjYQ+DZwmrtPcvfM3Se4+4Qim7jY3Re5+/vExG6Suz/h7rXA3UA/YFMAd3/N3Z919yXuPpeYuHwxl6AW40zgJ+7+grvXuvvH7v6vZux/S4rpaHfPgKOAV9x9tLtXu/uLwK3ASQX7XeTuC1JV8xHA0uM7pdsP3H2uuy8CLgD2ThXJptQC57v7YnefSKykDk/rDgKWAj9O1+wtYFQ9sQHg7u+7+5/S87GYWF0dRLr+yWR3v87dl6ZYm/JMwfO5BnCPu09N+z9Qdy3MbH3gq8C57j7b3WcTk+UDzWy9etpeCvQGtjKzbu4+xd3fLCKmVjd//nwta7lsl6tXKYFmjW6vZS139GUpXjl3wQ9J/77Tgn1r3H1m7v4iYrc7AO6+yMwA+gCY2cbAtcRqax9W/C85AJjcjHhbEitmdhmwO7BrStAgVgInFWw6ETgkd7/wPBeSzgkYCvQEpqdzrfMpMfmb2kRYMwoSwSqgLnHdiJgw5v+8TEyPr8LM1gGuJ1al12TF1IQBuc2Kvc51llfCc89nvjq+iBXXoi6u/PWcmFtXWFUfQ6yi3gBsamZ/Ay5oxoefVtOnTx8ta7lslytWKYGERrfXspY7+nKb6mQ9BmVbASUmPLBylayt3ELsnt4udbl+OT1e93IoZi5nFS2INY23/D5wgLvPyq2awookvM6w9HgxJhMT0rXcfc3crZe7/6OI/QcWVICHsCJpnQIMTt38xcR2NbAesEu6vnUJYX7/tpwvWxfXkNxjwwrWLZcqzqPc3YjDBhYRx7iC5vWKFE+DQEW6rLKtgLr7DDN7ALg5JWmTgY3b6HB9gXeBOalad2XB+mnAIDPr4e5LG2jjJmCEmb1KHPu5FjC0sW54M9uPOJFnv3rGld4HXGpmxxHHbe5InIB1epHn5MB44Fdmdrm7zzKzAcA+7v77IvavAEal78ZcjzjJp2684xMp7hFmdi2x2nohcYhAffoSk7jZaWLZqCLPoVW4+4dm9lfgOjM7npj4XgeMdfdVxhSb2d7ESWSvAYuJiXxNWj2NOAlpqLsXVqhFJK+TVXREpHjlXAGFOLHl38BzxArlo8RJLK3tHGIX+DzgeeDxgvX3Eytl08xsTpogVOhmYqXvjtTOK8SJLI05mjjW8FkzW5C79UvJzYHE2fuziBNmLnX3PxZzQmls5CHEPwEvm9l84kSsvYrZn5jwTyV2W79EnBB1TWp7LnHy077EGeJ/IY7DvL6Bti4DBqbzeA34BysSuvZyDPE19F/gbWAO8ZsS6vM54vWeTeyeHwycAuDu7xAnhv0zvRaObduwRcpXpv4CkS4rZJn6QKR56r6Gyd03KXUsok5MKV/PTKpmnwdXfiw7r2w75kSgDev64WfLVvr/Pruoe1n3IZR7BVRERMpUbVn/+RSRz0IfNUvMzMYSu/dXkb7/s92Z2SCgoa8VGkPsqi8ZMzuahseTnuru97ZnPCLSMvoDJNIMnewDm7rgRcqb3sBStj5ZXMvaN60YCNotwLIfKS2VstZ2XfCjCrrgL1QXvIiISLOt1auCC3cGyOhGDQ99U3+SRLoKfdQUEZGS+dme3dh17mOEAAdvfHCpwxGRdqKPmyIiUlKhrDsSRaQlVAEVERER6eg62Qc1VUBFREREpF0pARURERGRdqUEVERERETalRJQEREREWlXSkBFREREpF1pFryIiIhIR9fJvq9MFVARERERaVdKQEVERETKXAihKoSwTanjKJa64EVEREQ6us7VA68KqIiIiEhnFEI4LoTwnxDCayGEh0MIA9Pj/y+EsHNavjmE8EZa7hZC+DiEsEZbx6YEVERERKSTSd3xPwP2z7JsO+B14H/T6r8B+6Tl3YDFIYT1gJ2Bt7IsW9jW8akLXqSMhRD+AqxT6jjqdOvWbZ3q6uqPSx1HR6Rr0zhdn4bp2jSug12fJ7Ms+1pbNJyd1625nfBfAf6cZdlH6f6twPi0/Dfg4hDCvcAs4DliQjoUeKYVwm2SElCRMtZW/9G1lJm5u1up4+iIdG0ap+vTMF2bxun6tMg/gB2Bg4jJ6HPACcQE9LL2CEBd8CIiIiKdz7PAgSGEddP9k4GnALIsWwK8AlwEPA28CHwZ2C4ttzlVQEVEREQ6h6dDCNW5+/8DPBVCyID3gFNz6/5GHPP5ryzLakIIE4BJWZYtbY9AlYCKSGu6rdQBdGC6No3T9WmYrk3jdH2ALMuGNLDqrga2vxq4Onf/wDYIq0Ehy7L2PJ6IiIiIdHEaAyoiIiIi7Upd8CLSJsxsL+IYo7Pd/cYSh9NhmNlNxK87WQIsIF4fL21UpWNmmxG7CNcmfh3Mce7+bmmj6hjMbG3gHmBjYCnwLnCqu88saWAdjJldDowEtnX310scjhRJFVARaXVm1gcYBYwtdSwd0FjiH8rtieOv/lDieErtFuAmd98MuIn4XYUSZcA17r65u28LTCR+sbgkZrYj8EVgcqljkeZRAioibeF64Fqgo3w5dIfh7o+7+7J09/8BG5pZl/y/2MwGEr+L8L700H3AjmY2oHRRdRzu/om7j8s99CIwuEThdDhm1pP4oeX0Uscizdcl/9MTkbZjZgcA/dz9gVLHUgbOAJ5w99pSB1IiGwEfuHsNQPr3w/S45KQPKacDfyp1LB3IlcAYd68qdSDSfBoDKiLNYmavAIMaWL05sYtwv/aLqGNp4vp8ri7ZMrPvAN8F9miv2KSs/S9xzLDGUwNm9iXAiF+kLmVIX8MkIq3GzHYDHgIWpYfWIU62+aW7X1mywDoYMzsU+DmwT1eu3qQu+HeAtd29xswqiRORNtVEmxXM7OfEX6g52N2XlDqejsDMLgLOIk7OAtgQmA58z93/WrLApGhKQEWkzZjZaMA1C34FM/s6sZq1n7tPKHU8pWZm44Db3X2MmR0DnOjuXylxWB2Gmf0U+BJwkLsvamr7rsrMqoCvaxZ8+VAXvIhI+/otsWrzgJnVPbaPu88qXUgldRpwl5ldBswGjitxPB2GmW1N/CnFd4B/pNfLJHc/tKSBibQCVUBFREREpF1pFryIiIiItCsloCIiIiLSrpSAioiIiEi7UgIqIiIiIu1KCaiIiIiItCsloCIi7SyEMCSEkIUQNmzj45wWQrgnd39sCOGCtjym1C+EMCGEMLzIbdvl9dEeQgg907lvUepYpGNRAioiHVYIYVgI4f4QwrQQwoIQwpQQwsMhhB5p/fAQwipf5t7I40enP+yX17NuXAhhSTrO3BDCqyGEw9vmzNpeCGEN4m9lj6x7LMuyA7Isu6ZkQTUhPTe7lTqOrqAtrnUIYa8QQnX+sSzLlgDXppvIckpARaQj+zPwEfE35vsQfxHmL0BoYXunAp8AJ4YQKutZf1WWZb2BtYH7gD+EEDZr4bFK7RjgP1mWTSx1INLl3QfsHULYpNSBSMehBFREOqQQwtrExPOWLMvmZtHULMtuSVWV5ra3JbA7cDywHnBAQ9tmWVYN3AxUAtvW09YPQgj/LnhsaAihJoQwJN3/barYzg8hvBlC+G4jsY0MITxd8Ni4EMIlufvbhBD+EkKYGUJ4P4RwdQiheyOn/E3gqYbazHXzHp/iWxhC+HMIoX8I4WchhBmp8vyD3P7DU3fqhSGEj9I21+XjaOq8QwjbhRCeTOfxSd15hxDGp03+mqrQtzdwrVYPIfwyHePjEMIjIYRBBed4XQjhwRTDxBDCIQ1dpNw5nRNCmJr2+XkIYe3UxrwQwtv5amEIoVsI4bIQwnshhNkhhL+FELbJre8eQrg+dw0vrOe4u4cQXkjXYGII4UchhKI/WIUQDg8hjE/V+vEhhENz61bpAQghjK67pg1d6xBCVTqvF9LjHkLYub42co9VhRCOCSGsD4wFKtO+C0IIxwNkWTYP+BfwjWLPTzo/JaAi0iFlWTYLeAO4PYRwXAhhq+b8ga7HKcBrWZY9TqysntrQhiF28f8AWAaMr2eT3wFbhBA+n3tsODAuy7KqdP8F4PPAmsSu8NEhhK1aEngIYSDwHPAQsAGxErwf8WcaG7Ij8GYRzR8O7AYMAoYALwETgfWB7wG/yCd4wOC07bAUx8HA+bn1DZ53CGG9dB7PpWOtC/wMIMuy7dP++2dZ1jvLspMaiPcG4IvpNhj4GHgsrFzRPh64DugH3AjcFUJYvZFrMDjFOyxdizOJydS1QH/idf9tbvvziT8ZemA6h+eBp0IIfdP6i4CvA7sCQ9O5Dq7bOV2PP6f2BwAHAWcAxzYS43IhhF2Be9Nx1gZGAPeFEHYpZv8mrvVpwNnAWsADwJ9z59VYmx8SP9TVpDZ7Z1l2V26T/xBfkyKAElAR6dj2AsYBPwT+DUwPIVxakIgODSHMyd+I1cvlQgirEROGuiTiDuCAsOokj4vT/lOBQ4DDsyxbZSxplmWzgUeJCRopnuOBO3Pb3JFl2awsy2qyLPs98Fo6n5Y4DhifZdmtWZYtzbLsA+BqGv/d9P7AvCLavirLsk9Swv84sCzLst9kWVadZdlY4u+z75DbvhY4P8uyxal7/xpi8g00ed7HAhOyLLs6y7KF6VxWqvw2JoRQQbzOl2RZ9kGWZQuJr40tgS/kNv1DlmX/yLKsFriNmIhu2kjTi4ErUjzjiR86/pVl2YtZltUAY4BNQgj90vbfA0ZlWfZ2qsZfCdQQE0mIz8uoLMsmZFm2GDgPyP/u9feB+7MsezRdp7eJiXJjz2fecODBLMvGpufpCeBh4IQi92/MHVmWvZxl2VJgFPHafL0V2p1HTGpFACWgItKBZVn2cZZlI7Is25FYoboAuIyU+CWTsixbM38j/oHP+xbQm5hIQKw+zQQKq2w/SW0MzLJs1yzLHmskvN8C303dz3un+B6CmCiFEK4MIfw3dZHOAbYnVrtaYijw5YIk+05i9a0hs4EmK1fEMbZ1FhXcr3usT+7+jCzLFuXuVwEbQlHnPQR4p4iYGjIA6AlMqnsgy7IFwAxgo9x2H+XWL0yL+XMoNCMlq3UKr0Pd+da1sVFBDLXE61AXw4bpfj6GGbn2hgJHFTyflxOHhhRjpeMnE1n5GrRUVd1ClmUZ8D7p+f2M+hLHX4sASkBFpExkWbYoy7LRxIra55u5+ynE8ZyvhxCmESuc/Wl4MlIxngKWELughwO/T9UugKOIye3hQP+UFI+n4clT84E1Ch5bP7c8GXi6INHulyZMNeRVoEVd/k0YWNCdPYR4PaHp866i8Upk1sg6iB8alqRjAhBC6A0MBKYUE3wrmVIQQ0W6XxfDBwXr12DlDx+TgTsLns++WZZt3ZLjJ8Nyx2/q9QQNX+t83IE43KLu+V2p3RBCN+K1r5NP4gttQ3xNigBKQEWkgwpxMszVIU6+6Z4mfhxO/EP2fDPa2Yo4ru9QYuJad/sCsYJ4YEviS12zdwNnAYeR634nVnuqiQlTRQjhBGIlsCEvAzuGEHZK53kGsUpW527AQggnhBBWS5XGYSGErzXS5iPAvs0+saZVAKNCCL1CCMOI3ct1Y/2aOu8xwOYhTmJaPYTQI4SQj3EajSSoqdJ4N3BVCGH9lAhfB7wN/LOVzq8Yo4ELQgibpfHCFwPdgCfS+nuA80MIG4cQehGHKeT/3t4MfCeEcHDutb1VCGHPIo9/F3B4COGrIYTKEMIBxNdg3RCTfxM/KHw9vVYOBfYoaKOha31CCGHHVNk/H1g9d14vA/uEOOGuJ/ATID8RbhpxElL+tUsIoQ/x/fanIs9PugAloCLSUS0lVlceInbdzQQuAc7Ksuz+ZrRzKvBKlmWPZVk2LXd7DbifRiYjFeG3wJ7EYQD5BOgu4mSeCcRq2FY0kjRnWTYOuB54ktj1+zng77n104CvEGe2VxG71x8mVr0acg+wfUoSW9NkYkVsEvEcnyQmWNDEeaeJKnsRJ1BNJSYs+QlMFwNXhjiz/NYGjn8O4MRZ1e8Tu62/kT4QtJdriV8t9FdgOnEIxv5ptjfE8bl/AV4kXqf3idcNgCzLXieOq/wh8fmeQUxqixqikWXZ34ljYX9OfC1cAxyTZdmLaf1E4kSi24jvna8BDxY009C1vg34VWr3SOCgLMvmpnX3EpPIV4hd/u8Tn+e6uN4Bfg38Mw0tqJtUdRTwbJZl7xZzftI1hDjEQ0REOpsQwmnAl7MsK2p2dRHtDSdOANL3OXZCIYQq4vM7pqltm9FmT+B14oeEt1qrXSl/3UodgIiItI0sy24Bbil1HNJ1pW8JaGzcr3RR6oIXERERkXalLngRERERaVeqgIqIiIhIu1ICKiIiIiLtSgmoiIiIiLQrJaAiIiIi0q6UgIqIiIhIu1ICKiIiIiLt6v8DKAa2AEAUdN8AAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 576x1000.8 with 2 Axes>"
]
@@ -166,37 +195,37 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "15.28 % lat\n",
- "13.12 % climatic_zone_warm_dry\n",
- "11.41 % forest_25km\n",
- "9.26 % relative_alt\n",
- "8.84 % climatic_zone_warm_moist\n",
- "6.93 % climatic_zone_cool_moist\n",
- "4.97 % nightlight_5km\n",
- "4.7 % population_density\n",
- "4.6 % no2_column\n",
- "3.77 % alt\n",
- "3.15 % water_25km\n",
- "1.95 % climatic_zone_tropical_dry\n",
- "1.87 % croplands_25km\n",
- "1.71 % nightlight_1km\n",
- "1.44 % climatic_zone_cool_dry\n",
- "1.41 % shrublands_25km\n",
- "1.17 % grasslands_25km\n",
- "1.1 % nox_emissions\n",
- "0.63 % climatic_zone_tropical_moist\n",
- "0.5 % max_population_density_5km\n",
- "0.39 % max_population_density_25km\n",
- "0.35 % savannas_25km\n",
- "0.32 % rice_production\n",
- "0.24 % max_nightlight_25km\n",
- "0.2 % climatic_zone_tropical_wet\n",
- "0.2 % climatic_zone_boreal_dry\n",
- "0.15 % permanent_wetlands_25km\n",
- "0.15 % climatic_zone_boreal_moist\n",
- "0.14 % climatic_zone_polar_moist\n",
- "0.05 % climatic_zone_polar_dry\n",
- "0.0 % climatic_zone_tropical_montane\n"
+ "22.05 % lat\n",
+ "13.52 % forest_25km\n",
+ "11.87 % climatic_zone_warm_dry\n",
+ "8.02 % climatic_zone_warm_moist\n",
+ "6.9 % relative_alt\n",
+ "5.42 % climatic_zone_cool_moist\n",
+ "3.64 % population_density\n",
+ "3.54 % no2_column\n",
+ "3.51 % nightlight_5km\n",
+ "3.4 % alt\n",
+ "3.03 % water_25km\n",
+ "2.68 % croplands_25km\n",
+ "2.19 % nightlight_1km\n",
+ "1.73 % climatic_zone_tropical_moist\n",
+ "1.1 % rice_production\n",
+ "1.01 % climatic_zone_tropical_dry\n",
+ "0.78 % climatic_zone_cool_dry\n",
+ "0.75 % shrublands_25km\n",
+ "0.73 % climatic_zone_tropical_wet\n",
+ "0.72 % grasslands_25km\n",
+ "0.64 % savannas_25km\n",
+ "0.59 % permanent_wetlands_25km\n",
+ "0.57 % max_nightlight_25km\n",
+ "0.56 % max_population_density_25km\n",
+ "0.56 % nox_emissions\n",
+ "0.51 % max_population_density_5km\n",
+ "0.0 % climatic_zone_tropical_montane\n",
+ "0.0 % climatic_zone_boreal_moist\n",
+ "0.0 % climatic_zone_boreal_dry\n",
+ "0.0 % climatic_zone_polar_dry\n",
+ "0.0 % climatic_zone_polar_moist\n"
]
}
],
@@ -205,17 +234,17 @@
"shap.summary_plot(shap_values, test_df, show=False, max_display=99)#test_df.shape[1])\n",
"plt.xlim(-5, 5)\n",
"plt.show()\n",
- "experiments.shap.print_percentages(shap_values=shap_values, feature_names=test_df.columns)"
+ "experiments.our_shap.print_percentages(shap_values=shap_values, feature_names=test_df.columns)"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 540x360 with 2 Axes>"
]
@@ -232,39 +261,1896 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 9,
"metadata": {},
"outputs": [],
+ "source": [
+ " def f_nn(x):\n",
+ " \"\"\"\n",
+ " x: input data as numpy array\n",
+ " returns: models prediction as numpy array\n",
+ " \"\"\"\n",
+ " nn.x['pred'] = torch.Tensor(x)\n",
+ " nn.predict()\n",
+ " return np.array(nn.pred['pred']['o3_average_values'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "mean prediction plus shap value should equal stations prediction\n",
+ "stations prediction: 25.645142\n",
+ "mean prediction of all: 27.054985\n",
+ "stations shap value: -1.4098413085937516\n",
+ "mean + shap value: 25.645143737792967\n"
+ ]
+ }
+ ],
"source": [
"# validation\n",
"\n",
"# predict\n",
- "#nn.x['pred'] = torch.Tensor(train_df.to_numpy())\n",
- "#nn.predict()\n",
- "#preds = nn.pred['pred']['o3_average_values']\n",
+ "nn.x['pred'] = torch.Tensor(train_df.to_numpy())\n",
+ "nn.predict()\n",
+ "preds = nn.pred['pred']['o3_average_values']\n",
"\n",
- "#preds_train = experiments.shap.f_nn(train_df.to_numpy())\n",
- "#preds_test = experiments.shap.f_nn(test_df.to_numpy())\n",
+ "preds_train = f_nn(train_df.to_numpy())\n",
+ "preds_test = f_nn(test_df.to_numpy())\n",
"\n",
"# shap value compared with predictions\n",
- "#station_idx = 0\n",
- "#station_pred = preds_test[station_idx]\n",
- "#mean_pred = np.mean(preds_train)\n",
- "#station_shap_value = np.sum(shap_values[station_idx])\n",
+ "station_idx = 0\n",
+ "station_pred = preds_test[station_idx]\n",
+ "mean_pred = np.mean(preds_train)\n",
+ "station_shap_value = np.sum(shap_values[station_idx])\n",
"\n",
- "#print('mean prediction plus shap value should equal stations prediction')\n",
- "#print('stations prediction: ', station_pred)\n",
- "#print('mean prediction of all:', mean_pred)\n",
- "#print('stations shap value: ', station_shap_value)\n",
- "#print('mean + shap value: ', station_shap_value+mean_pred)"
+ "print('mean prediction plus shap value should equal stations prediction')\n",
+ "print('stations prediction: ', station_pred)\n",
+ "print('mean prediction of all:', mean_pred)\n",
+ "print('stations shap value: ', station_shap_value)\n",
+ "print('mean + shap value: ', station_shap_value+mean_pred)\n"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 38,
"metadata": {},
- "outputs": [],
- "source": []
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([25.645142, 33.005825, 24.74514 , 28.39802 , 25.723213, 27.671638,\n",
+ " 34.251827, 28.582685, 22.44957 , 27.274246, 33.401413, 22.864363,\n",
+ " 35.03075 , 28.206493, 29.674665, 27.054295, 30.40487 , 27.784794,\n",
+ " 34.38787 , 35.176292, 26.990057, 32.18613 , 27.061174, 25.178833,\n",
+ " 27.606262, 28.16172 , 27.89346 , 22.39612 , 31.68667 , 27.775032,\n",
+ " 24.552958, 19.565722, 27.609922, 29.62671 , 25.723213, 33.36451 ,\n",
+ " 28.697721, 33.005825, 38.60103 , 25.949514, 35.18147 , 24.29488 ,\n",
+ " 26.857714, 22.682417, 28.127234, 28.73726 , 28.366539, 26.637695,\n",
+ " 30.34227 , 30.129896], dtype=float32)"
+ ]
+ },
+ "execution_count": 38,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "preds_test"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>lat</th>\n",
+ " <th>alt</th>\n",
+ " <th>relative_alt</th>\n",
+ " <th>water_25km</th>\n",
+ " <th>forest_25km</th>\n",
+ " <th>shrublands_25km</th>\n",
+ " <th>savannas_25km</th>\n",
+ " <th>grasslands_25km</th>\n",
+ " <th>permanent_wetlands_25km</th>\n",
+ " <th>croplands_25km</th>\n",
+ " <th>...</th>\n",
+ " <th>climatic_zone_cool_dry</th>\n",
+ " <th>climatic_zone_cool_moist</th>\n",
+ " <th>climatic_zone_polar_dry</th>\n",
+ " <th>climatic_zone_polar_moist</th>\n",
+ " <th>climatic_zone_tropical_dry</th>\n",
+ " <th>climatic_zone_tropical_moist</th>\n",
+ " <th>climatic_zone_tropical_montane</th>\n",
+ " <th>climatic_zone_tropical_wet</th>\n",
+ " <th>climatic_zone_warm_dry</th>\n",
+ " <th>climatic_zone_warm_moist</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>id</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>10608</th>\n",
+ " <td>0.556719</td>\n",
+ " <td>-0.381308</td>\n",
+ " <td>-0.278032</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.155742</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.481575</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.856150</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15981</th>\n",
+ " <td>-0.807698</td>\n",
+ " <td>-0.558224</td>\n",
+ " <td>-0.464575</td>\n",
+ " <td>2.130264</td>\n",
+ " <td>-0.367792</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.440200</td>\n",
+ " <td>-0.450544</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.547644</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14695</th>\n",
+ " <td>0.535752</td>\n",
+ " <td>-0.530176</td>\n",
+ " <td>-0.464575</td>\n",
+ " <td>0.920026</td>\n",
+ " <td>2.678492</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10434</th>\n",
+ " <td>0.059861</td>\n",
+ " <td>-0.368363</td>\n",
+ " <td>0.029763</td>\n",
+ " <td>0.252843</td>\n",
+ " <td>-0.036787</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.618240</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.057475</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16506</th>\n",
+ " <td>-1.241280</td>\n",
+ " <td>-0.551752</td>\n",
+ " <td>-0.427266</td>\n",
+ " <td>0.351110</td>\n",
+ " <td>3.154312</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.429856</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.435028</td>\n",
+ " <td>-0.445372</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16486</th>\n",
+ " <td>-1.214355</td>\n",
+ " <td>-0.554772</td>\n",
+ " <td>-0.389958</td>\n",
+ " <td>0.723491</td>\n",
+ " <td>2.031997</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.155742</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.450544</td>\n",
+ " <td>-0.036787</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11778</th>\n",
+ " <td>-0.360435</td>\n",
+ " <td>-0.010215</td>\n",
+ " <td>-0.389958</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.116560</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.289046</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15382</th>\n",
+ " <td>-0.644661</td>\n",
+ " <td>-0.515074</td>\n",
+ " <td>-0.250051</td>\n",
+ " <td>-0.233321</td>\n",
+ " <td>0.118372</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.005755</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.197500</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3441</th>\n",
+ " <td>1.693934</td>\n",
+ " <td>-0.553909</td>\n",
+ " <td>-0.408612</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.176430</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.013121</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17533</th>\n",
+ " <td>-0.658773</td>\n",
+ " <td>-0.461136</td>\n",
+ " <td>-0.240724</td>\n",
+ " <td>0.247671</td>\n",
+ " <td>2.419894</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.491919</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.294218</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7113</th>\n",
+ " <td>0.213919</td>\n",
+ " <td>0.423445</td>\n",
+ " <td>0.552082</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.397658</td>\n",
+ " <td>-0.460888</td>\n",
+ " <td>-0.186774</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>3.081905</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3492</th>\n",
+ " <td>1.719664</td>\n",
+ " <td>-0.540964</td>\n",
+ " <td>-0.156779</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.070012</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.976917</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16445</th>\n",
+ " <td>-1.102195</td>\n",
+ " <td>-0.396410</td>\n",
+ " <td>0.449484</td>\n",
+ " <td>2.280251</td>\n",
+ " <td>0.707975</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.367792</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.460888</td>\n",
+ " <td>0.056308</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16018</th>\n",
+ " <td>-0.811373</td>\n",
+ " <td>-0.461136</td>\n",
+ " <td>0.029763</td>\n",
+ " <td>-0.047131</td>\n",
+ " <td>2.419894</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.471232</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.098850</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6967</th>\n",
+ " <td>0.347023</td>\n",
+ " <td>0.007045</td>\n",
+ " <td>1.027765</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.233703</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.429856</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.336761</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15947</th>\n",
+ " <td>-0.775281</td>\n",
+ " <td>-0.540964</td>\n",
+ " <td>-0.315341</td>\n",
+ " <td>-0.316073</td>\n",
+ " <td>0.237327</td>\n",
+ " <td>-0.476404</td>\n",
+ " <td>-0.362620</td>\n",
+ " <td>-0.398824</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.152764</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8354</th>\n",
+ " <td>0.354746</td>\n",
+ " <td>-0.532334</td>\n",
+ " <td>-0.333995</td>\n",
+ " <td>2.657804</td>\n",
+ " <td>-0.429856</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.145398</td>\n",
+ " <td>-0.362620</td>\n",
+ " <td>-0.476404</td>\n",
+ " <td>-0.331589</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11595</th>\n",
+ " <td>0.388639</td>\n",
+ " <td>1.206623</td>\n",
+ " <td>-0.343322</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.233321</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>3.195688</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.104022</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12131</th>\n",
+ " <td>-0.421813</td>\n",
+ " <td>0.065298</td>\n",
+ " <td>-0.380630</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.409168</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.392486</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.521785</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12970</th>\n",
+ " <td>-0.044603</td>\n",
+ " <td>2.634899</td>\n",
+ " <td>0.151016</td>\n",
+ " <td>-0.088507</td>\n",
+ " <td>-0.171258</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.460888</td>\n",
+ " <td>2.037169</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.181602</td>\n",
+ " <td>...</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7485</th>\n",
+ " <td>0.382126</td>\n",
+ " <td>-0.163399</td>\n",
+ " <td>0.151016</td>\n",
+ " <td>-0.357448</td>\n",
+ " <td>0.066652</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.395846</td>\n",
+ " <td>-0.259181</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.744179</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11571</th>\n",
+ " <td>-0.965042</td>\n",
+ " <td>1.901343</td>\n",
+ " <td>-0.035527</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.702803</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.802619</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.424684</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15938</th>\n",
+ " <td>-0.777648</td>\n",
+ " <td>-0.569012</td>\n",
+ " <td>-0.464575</td>\n",
+ " <td>0.278703</td>\n",
+ " <td>-0.207462</td>\n",
+ " <td>-0.486747</td>\n",
+ " <td>-0.362620</td>\n",
+ " <td>-0.414340</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.302751</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12592</th>\n",
+ " <td>-0.726436</td>\n",
+ " <td>0.288622</td>\n",
+ " <td>-0.147452</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.062647</td>\n",
+ " <td>2.580225</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.238493</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15868</th>\n",
+ " <td>-0.733860</td>\n",
+ " <td>-0.538806</td>\n",
+ " <td>-0.268705</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.706163</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.383308</td>\n",
+ " <td>-0.460888</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.987261</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9881</th>\n",
+ " <td>2.024756</td>\n",
+ " <td>-0.180659</td>\n",
+ " <td>-0.315341</td>\n",
+ " <td>-0.466060</td>\n",
+ " <td>2.078545</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.424684</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.248837</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11324</th>\n",
+ " <td>-0.449622</td>\n",
+ " <td>-0.448191</td>\n",
+ " <td>-0.408612</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.166086</td>\n",
+ " <td>-0.403996</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>3.537037</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10069</th>\n",
+ " <td>1.484847</td>\n",
+ " <td>-0.508601</td>\n",
+ " <td>-0.408612</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.273531</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.102856</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6929</th>\n",
+ " <td>-0.282285</td>\n",
+ " <td>0.908886</td>\n",
+ " <td>0.206978</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.025277</td>\n",
+ " <td>1.685476</td>\n",
+ " <td>0.433861</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.764867</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12737</th>\n",
+ " <td>-0.911687</td>\n",
+ " <td>-0.269117</td>\n",
+ " <td>-0.110144</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.421706</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.788915</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.419512</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7674</th>\n",
+ " <td>0.697757</td>\n",
+ " <td>-0.180659</td>\n",
+ " <td>-0.399285</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.372964</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.088888</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>5291</th>\n",
+ " <td>1.357222</td>\n",
+ " <td>-0.428773</td>\n",
+ " <td>-0.212742</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.904510</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.435028</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.857962</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>12722</th>\n",
+ " <td>-1.066327</td>\n",
+ " <td>-0.493499</td>\n",
+ " <td>-0.343322</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.680304</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.763055</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.466060</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17594</th>\n",
+ " <td>-0.659730</td>\n",
+ " <td>-0.461136</td>\n",
+ " <td>-0.278032</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.345938</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.699180</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16506</th>\n",
+ " <td>-1.241280</td>\n",
+ " <td>-0.551752</td>\n",
+ " <td>-0.427266</td>\n",
+ " <td>0.351110</td>\n",
+ " <td>3.154312</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.429856</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.435028</td>\n",
+ " <td>-0.445372</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11018</th>\n",
+ " <td>-0.143196</td>\n",
+ " <td>-0.569012</td>\n",
+ " <td>1.344888</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.183796</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.737195</td>\n",
+ " <td>-0.259181</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.014933</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15326</th>\n",
+ " <td>-0.179459</td>\n",
+ " <td>-0.512916</td>\n",
+ " <td>-0.445920</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.776759</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.888994</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15981</th>\n",
+ " <td>-0.807698</td>\n",
+ " <td>-0.558224</td>\n",
+ " <td>-0.464575</td>\n",
+ " <td>2.130264</td>\n",
+ " <td>-0.367792</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.440200</td>\n",
+ " <td>-0.450544</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.547644</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11411</th>\n",
+ " <td>-0.497966</td>\n",
+ " <td>3.709341</td>\n",
+ " <td>-0.240724</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.171258</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.072991</td>\n",
+ " <td>3.175000</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.248837</td>\n",
+ " <td>...</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7188</th>\n",
+ " <td>0.246191</td>\n",
+ " <td>0.598204</td>\n",
+ " <td>0.001782</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.809603</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.483769</td>\n",
+ " <td>-0.429856</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.316073</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6613</th>\n",
+ " <td>-0.121000</td>\n",
+ " <td>-0.400726</td>\n",
+ " <td>-0.464575</td>\n",
+ " <td>3.604273</td>\n",
+ " <td>-0.491919</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.056308</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.372964</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7714</th>\n",
+ " <td>0.595386</td>\n",
+ " <td>0.007045</td>\n",
+ " <td>-0.203415</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.564709</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.166086</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.243665</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16297</th>\n",
+ " <td>-0.858368</td>\n",
+ " <td>-0.504286</td>\n",
+ " <td>-0.222069</td>\n",
+ " <td>-0.357448</td>\n",
+ " <td>3.531865</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.336761</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7871</th>\n",
+ " <td>0.606762</td>\n",
+ " <td>-0.107303</td>\n",
+ " <td>-0.389958</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.631944</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.186774</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.259181</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15292</th>\n",
+ " <td>-0.337651</td>\n",
+ " <td>-0.547437</td>\n",
+ " <td>-0.389958</td>\n",
+ " <td>0.837274</td>\n",
+ " <td>1.530317</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.486747</td>\n",
+ " <td>-0.481575</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.170091</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15426</th>\n",
+ " <td>-0.611087</td>\n",
+ " <td>-0.491341</td>\n",
+ " <td>-0.324668</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.206295</td>\n",
+ " <td>-0.378136</td>\n",
+ " <td>-0.233321</td>\n",
+ " <td>-0.491919</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.657804</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6954</th>\n",
+ " <td>0.138821</td>\n",
+ " <td>-0.061996</td>\n",
+ " <td>-0.259378</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.545833</td>\n",
+ " <td>-0.486747</td>\n",
+ " <td>-0.388480</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.099232</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9373</th>\n",
+ " <td>0.519243</td>\n",
+ " <td>-0.331685</td>\n",
+ " <td>0.029763</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.123544</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>2.787103</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>11697</th>\n",
+ " <td>-0.137006</td>\n",
+ " <td>-0.042578</td>\n",
+ " <td>-0.315341</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.398824</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.742367</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10406</th>\n",
+ " <td>0.112475</td>\n",
+ " <td>-0.458978</td>\n",
+ " <td>-0.156779</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>0.495925</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>1.980277</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.548811</td>\n",
+ " <td>-0.129882</td>\n",
+ " <td>...</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>-0.5</td>\n",
+ " <td>0.5</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>50 rows × 31 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " lat alt relative_alt water_25km forest_25km \\\n",
+ "id \n",
+ "10608 0.556719 -0.381308 -0.278032 -0.548811 -0.155742 \n",
+ "15981 -0.807698 -0.558224 -0.464575 2.130264 -0.367792 \n",
+ "14695 0.535752 -0.530176 -0.464575 0.920026 2.678492 \n",
+ "10434 0.059861 -0.368363 0.029763 0.252843 -0.036787 \n",
+ "16506 -1.241280 -0.551752 -0.427266 0.351110 3.154312 \n",
+ "16486 -1.214355 -0.554772 -0.389958 0.723491 2.031997 \n",
+ "11778 -0.360435 -0.010215 -0.389958 -0.548811 -0.548811 \n",
+ "15382 -0.644661 -0.515074 -0.250051 -0.233321 0.118372 \n",
+ "3441 1.693934 -0.553909 -0.408612 -0.548811 -0.176430 \n",
+ "17533 -0.658773 -0.461136 -0.240724 0.247671 2.419894 \n",
+ "7113 0.213919 0.423445 0.552082 -0.548811 -0.548811 \n",
+ "3492 1.719664 -0.540964 -0.156779 -0.548811 1.070012 \n",
+ "16445 -1.102195 -0.396410 0.449484 2.280251 0.707975 \n",
+ "16018 -0.811373 -0.461136 0.029763 -0.047131 2.419894 \n",
+ "6967 0.347023 0.007045 1.027765 -0.548811 2.233703 \n",
+ "15947 -0.775281 -0.540964 -0.315341 -0.316073 0.237327 \n",
+ "8354 0.354746 -0.532334 -0.333995 2.657804 -0.429856 \n",
+ "11595 0.388639 1.206623 -0.343322 -0.548811 -0.233321 \n",
+ "12131 -0.421813 0.065298 -0.380630 -0.548811 -0.409168 \n",
+ "12970 -0.044603 2.634899 0.151016 -0.088507 -0.171258 \n",
+ "7485 0.382126 -0.163399 0.151016 -0.357448 0.066652 \n",
+ "11571 -0.965042 1.901343 -0.035527 -0.548811 0.702803 \n",
+ "15938 -0.777648 -0.569012 -0.464575 0.278703 -0.207462 \n",
+ "12592 -0.726436 0.288622 -0.147452 -0.548811 -0.548811 \n",
+ "15868 -0.733860 -0.538806 -0.268705 -0.548811 1.706163 \n",
+ "9881 2.024756 -0.180659 -0.315341 -0.466060 2.078545 \n",
+ "11324 -0.449622 -0.448191 -0.408612 -0.548811 -0.548811 \n",
+ "10069 1.484847 -0.508601 -0.408612 -0.548811 0.273531 \n",
+ "6929 -0.282285 0.908886 0.206978 -0.548811 -0.548811 \n",
+ "12737 -0.911687 -0.269117 -0.110144 -0.548811 1.421706 \n",
+ "7674 0.697757 -0.180659 -0.399285 -0.548811 -0.372964 \n",
+ "5291 1.357222 -0.428773 -0.212742 -0.548811 0.904510 \n",
+ "12722 -1.066327 -0.493499 -0.343322 -0.548811 1.680304 \n",
+ "17594 -0.659730 -0.461136 -0.278032 -0.548811 0.345938 \n",
+ "16506 -1.241280 -0.551752 -0.427266 0.351110 3.154312 \n",
+ "11018 -0.143196 -0.569012 1.344888 -0.548811 1.183796 \n",
+ "15326 -0.179459 -0.512916 -0.445920 -0.548811 2.776759 \n",
+ "15981 -0.807698 -0.558224 -0.464575 2.130264 -0.367792 \n",
+ "11411 -0.497966 3.709341 -0.240724 -0.548811 -0.171258 \n",
+ "7188 0.246191 0.598204 0.001782 -0.548811 1.809603 \n",
+ "6613 -0.121000 -0.400726 -0.464575 3.604273 -0.491919 \n",
+ "7714 0.595386 0.007045 -0.203415 -0.548811 2.564709 \n",
+ "16297 -0.858368 -0.504286 -0.222069 -0.357448 3.531865 \n",
+ "7871 0.606762 -0.107303 -0.389958 -0.548811 2.631944 \n",
+ "15292 -0.337651 -0.547437 -0.389958 0.837274 1.530317 \n",
+ "15426 -0.611087 -0.491341 -0.324668 -0.548811 0.206295 \n",
+ "6954 0.138821 -0.061996 -0.259378 -0.548811 -0.548811 \n",
+ "9373 0.519243 -0.331685 0.029763 -0.548811 0.123544 \n",
+ "11697 -0.137006 -0.042578 -0.315341 -0.548811 -0.398824 \n",
+ "10406 0.112475 -0.458978 -0.156779 -0.548811 0.495925 \n",
+ "\n",
+ " shrublands_25km savannas_25km grasslands_25km \\\n",
+ "id \n",
+ "10608 -0.548811 -0.481575 -0.548811 \n",
+ "15981 -0.548811 -0.440200 -0.450544 \n",
+ "14695 -0.548811 -0.548811 -0.548811 \n",
+ "10434 -0.548811 1.618240 -0.548811 \n",
+ "16506 -0.548811 -0.429856 -0.548811 \n",
+ "16486 -0.548811 -0.155742 -0.548811 \n",
+ "11778 -0.548811 -0.548811 1.116560 \n",
+ "15382 -0.548811 -0.005755 -0.548811 \n",
+ "3441 -0.548811 -0.548811 -0.548811 \n",
+ "17533 -0.548811 -0.548811 -0.491919 \n",
+ "7113 0.397658 -0.460888 -0.186774 \n",
+ "3492 -0.548811 -0.548811 -0.548811 \n",
+ "16445 -0.548811 -0.367792 -0.548811 \n",
+ "16018 -0.548811 -0.471232 -0.548811 \n",
+ "6967 -0.548811 -0.429856 -0.548811 \n",
+ "15947 -0.476404 -0.362620 -0.398824 \n",
+ "8354 -0.548811 -0.145398 -0.362620 \n",
+ "11595 -0.548811 -0.548811 3.195688 \n",
+ "12131 -0.548811 -0.548811 0.392486 \n",
+ "12970 -0.548811 -0.460888 2.037169 \n",
+ "7485 -0.548811 1.395846 -0.259181 \n",
+ "11571 -0.548811 2.802619 -0.548811 \n",
+ "15938 -0.486747 -0.362620 -0.414340 \n",
+ "12592 -0.548811 -0.062647 2.580225 \n",
+ "15868 -0.548811 -0.383308 -0.460888 \n",
+ "9881 -0.548811 -0.424684 -0.548811 \n",
+ "11324 -0.548811 -0.166086 -0.403996 \n",
+ "10069 -0.548811 -0.548811 -0.548811 \n",
+ "6929 0.025277 1.685476 0.433861 \n",
+ "12737 -0.548811 1.788915 -0.548811 \n",
+ "7674 -0.548811 -0.548811 -0.548811 \n",
+ "5291 -0.548811 -0.548811 -0.435028 \n",
+ "12722 -0.548811 1.763055 -0.548811 \n",
+ "17594 -0.548811 -0.548811 -0.548811 \n",
+ "16506 -0.548811 -0.429856 -0.548811 \n",
+ "11018 -0.548811 1.737195 -0.259181 \n",
+ "15326 -0.548811 -0.548811 -0.548811 \n",
+ "15981 -0.548811 -0.440200 -0.450544 \n",
+ "11411 -0.548811 -0.072991 3.175000 \n",
+ "7188 -0.548811 1.483769 -0.429856 \n",
+ "6613 -0.548811 0.056308 -0.548811 \n",
+ "7714 -0.548811 -0.548811 -0.166086 \n",
+ "16297 -0.548811 -0.548811 -0.548811 \n",
+ "7871 -0.548811 -0.548811 -0.186774 \n",
+ "15292 -0.548811 -0.486747 -0.481575 \n",
+ "15426 -0.378136 -0.233321 -0.491919 \n",
+ "6954 1.545833 -0.486747 -0.388480 \n",
+ "9373 -0.548811 -0.548811 -0.548811 \n",
+ "11697 -0.548811 -0.548811 -0.548811 \n",
+ "10406 -0.548811 1.980277 -0.548811 \n",
+ "\n",
+ " permanent_wetlands_25km croplands_25km ... climatic_zone_cool_dry \\\n",
+ "id ... \n",
+ "10608 -0.548811 1.856150 ... -0.5 \n",
+ "15981 -0.548811 0.547644 ... -0.5 \n",
+ "14695 -0.548811 -0.548811 ... -0.5 \n",
+ "10434 -0.548811 -0.057475 ... -0.5 \n",
+ "16506 -0.435028 -0.445372 ... -0.5 \n",
+ "16486 -0.450544 -0.036787 ... -0.5 \n",
+ "11778 -0.548811 0.289046 ... -0.5 \n",
+ "15382 -0.548811 2.197500 ... -0.5 \n",
+ "3441 -0.548811 1.013121 ... -0.5 \n",
+ "17533 -0.548811 0.294218 ... -0.5 \n",
+ "7113 -0.548811 3.081905 ... -0.5 \n",
+ "3492 -0.548811 0.976917 ... -0.5 \n",
+ "16445 -0.460888 0.056308 ... -0.5 \n",
+ "16018 -0.548811 -0.098850 ... -0.5 \n",
+ "6967 -0.548811 -0.336761 ... -0.5 \n",
+ "15947 -0.548811 1.152764 ... -0.5 \n",
+ "8354 -0.476404 -0.331589 ... -0.5 \n",
+ "11595 -0.548811 -0.104022 ... -0.5 \n",
+ "12131 -0.548811 0.521785 ... -0.5 \n",
+ "12970 -0.548811 -0.181602 ... 0.5 \n",
+ "7485 -0.548811 0.744179 ... -0.5 \n",
+ "11571 -0.548811 -0.424684 ... -0.5 \n",
+ "15938 -0.548811 1.302751 ... -0.5 \n",
+ "12592 -0.548811 -0.238493 ... -0.5 \n",
+ "15868 -0.548811 0.987261 ... -0.5 \n",
+ "9881 -0.548811 -0.248837 ... -0.5 \n",
+ "11324 -0.548811 3.537037 ... -0.5 \n",
+ "10069 -0.548811 0.102856 ... -0.5 \n",
+ "6929 -0.548811 0.764867 ... -0.5 \n",
+ "12737 -0.548811 -0.419512 ... -0.5 \n",
+ "7674 -0.548811 2.088888 ... -0.5 \n",
+ "5291 -0.548811 0.857962 ... -0.5 \n",
+ "12722 -0.466060 -0.548811 ... -0.5 \n",
+ "17594 -0.548811 2.699180 ... -0.5 \n",
+ "16506 -0.435028 -0.445372 ... -0.5 \n",
+ "11018 -0.548811 0.014933 ... -0.5 \n",
+ "15326 -0.548811 0.888994 ... -0.5 \n",
+ "15981 -0.548811 0.547644 ... -0.5 \n",
+ "11411 -0.548811 -0.248837 ... 0.5 \n",
+ "7188 -0.548811 -0.316073 ... -0.5 \n",
+ "6613 -0.548811 -0.372964 ... -0.5 \n",
+ "7714 -0.548811 -0.243665 ... -0.5 \n",
+ "16297 -0.548811 -0.336761 ... -0.5 \n",
+ "7871 -0.548811 -0.259181 ... -0.5 \n",
+ "15292 -0.548811 0.170091 ... -0.5 \n",
+ "15426 -0.548811 2.657804 ... -0.5 \n",
+ "6954 -0.548811 2.099232 ... -0.5 \n",
+ "9373 -0.548811 2.787103 ... -0.5 \n",
+ "11697 -0.548811 1.742367 ... -0.5 \n",
+ "10406 -0.548811 -0.129882 ... -0.5 \n",
+ "\n",
+ " climatic_zone_cool_moist climatic_zone_polar_dry \\\n",
+ "id \n",
+ "10608 -0.5 -0.5 \n",
+ "15981 -0.5 -0.5 \n",
+ "14695 0.5 -0.5 \n",
+ "10434 -0.5 -0.5 \n",
+ "16506 -0.5 -0.5 \n",
+ "16486 -0.5 -0.5 \n",
+ "11778 -0.5 -0.5 \n",
+ "15382 -0.5 -0.5 \n",
+ "3441 0.5 -0.5 \n",
+ "17533 -0.5 -0.5 \n",
+ "7113 -0.5 -0.5 \n",
+ "3492 0.5 -0.5 \n",
+ "16445 -0.5 -0.5 \n",
+ "16018 -0.5 -0.5 \n",
+ "6967 -0.5 -0.5 \n",
+ "15947 -0.5 -0.5 \n",
+ "8354 -0.5 -0.5 \n",
+ "11595 -0.5 -0.5 \n",
+ "12131 -0.5 -0.5 \n",
+ "12970 -0.5 -0.5 \n",
+ "7485 -0.5 -0.5 \n",
+ "11571 -0.5 -0.5 \n",
+ "15938 -0.5 -0.5 \n",
+ "12592 -0.5 -0.5 \n",
+ "15868 -0.5 -0.5 \n",
+ "9881 0.5 -0.5 \n",
+ "11324 -0.5 -0.5 \n",
+ "10069 0.5 -0.5 \n",
+ "6929 -0.5 -0.5 \n",
+ "12737 -0.5 -0.5 \n",
+ "7674 -0.5 -0.5 \n",
+ "5291 0.5 -0.5 \n",
+ "12722 -0.5 -0.5 \n",
+ "17594 -0.5 -0.5 \n",
+ "16506 -0.5 -0.5 \n",
+ "11018 -0.5 -0.5 \n",
+ "15326 -0.5 -0.5 \n",
+ "15981 -0.5 -0.5 \n",
+ "11411 -0.5 -0.5 \n",
+ "7188 -0.5 -0.5 \n",
+ "6613 -0.5 -0.5 \n",
+ "7714 0.5 -0.5 \n",
+ "16297 -0.5 -0.5 \n",
+ "7871 -0.5 -0.5 \n",
+ "15292 -0.5 -0.5 \n",
+ "15426 -0.5 -0.5 \n",
+ "6954 -0.5 -0.5 \n",
+ "9373 -0.5 -0.5 \n",
+ "11697 -0.5 -0.5 \n",
+ "10406 -0.5 -0.5 \n",
+ "\n",
+ " climatic_zone_polar_moist climatic_zone_tropical_dry \\\n",
+ "id \n",
+ "10608 -0.5 -0.5 \n",
+ "15981 -0.5 -0.5 \n",
+ "14695 -0.5 -0.5 \n",
+ "10434 -0.5 -0.5 \n",
+ "16506 -0.5 -0.5 \n",
+ "16486 -0.5 -0.5 \n",
+ "11778 -0.5 -0.5 \n",
+ "15382 -0.5 -0.5 \n",
+ "3441 -0.5 -0.5 \n",
+ "17533 -0.5 -0.5 \n",
+ "7113 -0.5 -0.5 \n",
+ "3492 -0.5 -0.5 \n",
+ "16445 -0.5 -0.5 \n",
+ "16018 -0.5 -0.5 \n",
+ "6967 -0.5 -0.5 \n",
+ "15947 -0.5 -0.5 \n",
+ "8354 -0.5 -0.5 \n",
+ "11595 -0.5 -0.5 \n",
+ "12131 -0.5 -0.5 \n",
+ "12970 -0.5 -0.5 \n",
+ "7485 -0.5 -0.5 \n",
+ "11571 -0.5 -0.5 \n",
+ "15938 -0.5 -0.5 \n",
+ "12592 -0.5 -0.5 \n",
+ "15868 -0.5 -0.5 \n",
+ "9881 -0.5 -0.5 \n",
+ "11324 -0.5 -0.5 \n",
+ "10069 -0.5 -0.5 \n",
+ "6929 -0.5 -0.5 \n",
+ "12737 -0.5 -0.5 \n",
+ "7674 -0.5 -0.5 \n",
+ "5291 -0.5 -0.5 \n",
+ "12722 -0.5 -0.5 \n",
+ "17594 -0.5 -0.5 \n",
+ "16506 -0.5 -0.5 \n",
+ "11018 -0.5 -0.5 \n",
+ "15326 -0.5 -0.5 \n",
+ "15981 -0.5 -0.5 \n",
+ "11411 -0.5 -0.5 \n",
+ "7188 -0.5 -0.5 \n",
+ "6613 -0.5 -0.5 \n",
+ "7714 -0.5 -0.5 \n",
+ "16297 -0.5 -0.5 \n",
+ "7871 -0.5 -0.5 \n",
+ "15292 -0.5 -0.5 \n",
+ "15426 -0.5 -0.5 \n",
+ "6954 -0.5 -0.5 \n",
+ "9373 -0.5 -0.5 \n",
+ "11697 -0.5 -0.5 \n",
+ "10406 -0.5 -0.5 \n",
+ "\n",
+ " climatic_zone_tropical_moist climatic_zone_tropical_montane \\\n",
+ "id \n",
+ "10608 -0.5 -0.5 \n",
+ "15981 -0.5 -0.5 \n",
+ "14695 -0.5 -0.5 \n",
+ "10434 -0.5 -0.5 \n",
+ "16506 -0.5 -0.5 \n",
+ "16486 -0.5 -0.5 \n",
+ "11778 -0.5 -0.5 \n",
+ "15382 -0.5 -0.5 \n",
+ "3441 -0.5 -0.5 \n",
+ "17533 -0.5 -0.5 \n",
+ "7113 -0.5 -0.5 \n",
+ "3492 -0.5 -0.5 \n",
+ "16445 -0.5 -0.5 \n",
+ "16018 -0.5 -0.5 \n",
+ "6967 -0.5 -0.5 \n",
+ "15947 -0.5 -0.5 \n",
+ "8354 -0.5 -0.5 \n",
+ "11595 -0.5 -0.5 \n",
+ "12131 -0.5 -0.5 \n",
+ "12970 -0.5 -0.5 \n",
+ "7485 -0.5 -0.5 \n",
+ "11571 -0.5 -0.5 \n",
+ "15938 -0.5 -0.5 \n",
+ "12592 -0.5 -0.5 \n",
+ "15868 -0.5 -0.5 \n",
+ "9881 -0.5 -0.5 \n",
+ "11324 -0.5 -0.5 \n",
+ "10069 -0.5 -0.5 \n",
+ "6929 -0.5 -0.5 \n",
+ "12737 -0.5 -0.5 \n",
+ "7674 -0.5 -0.5 \n",
+ "5291 -0.5 -0.5 \n",
+ "12722 0.5 -0.5 \n",
+ "17594 -0.5 -0.5 \n",
+ "16506 -0.5 -0.5 \n",
+ "11018 -0.5 -0.5 \n",
+ "15326 -0.5 -0.5 \n",
+ "15981 -0.5 -0.5 \n",
+ "11411 -0.5 -0.5 \n",
+ "7188 -0.5 -0.5 \n",
+ "6613 -0.5 -0.5 \n",
+ "7714 -0.5 -0.5 \n",
+ "16297 -0.5 -0.5 \n",
+ "7871 -0.5 -0.5 \n",
+ "15292 -0.5 -0.5 \n",
+ "15426 -0.5 -0.5 \n",
+ "6954 -0.5 -0.5 \n",
+ "9373 -0.5 -0.5 \n",
+ "11697 -0.5 -0.5 \n",
+ "10406 -0.5 -0.5 \n",
+ "\n",
+ " climatic_zone_tropical_wet climatic_zone_warm_dry \\\n",
+ "id \n",
+ "10608 -0.5 0.5 \n",
+ "15981 -0.5 -0.5 \n",
+ "14695 -0.5 -0.5 \n",
+ "10434 -0.5 -0.5 \n",
+ "16506 -0.5 -0.5 \n",
+ "16486 -0.5 -0.5 \n",
+ "11778 -0.5 -0.5 \n",
+ "15382 -0.5 -0.5 \n",
+ "3441 -0.5 -0.5 \n",
+ "17533 -0.5 -0.5 \n",
+ "7113 -0.5 0.5 \n",
+ "3492 -0.5 -0.5 \n",
+ "16445 -0.5 -0.5 \n",
+ "16018 -0.5 -0.5 \n",
+ "6967 -0.5 -0.5 \n",
+ "15947 -0.5 -0.5 \n",
+ "8354 -0.5 0.5 \n",
+ "11595 -0.5 0.5 \n",
+ "12131 -0.5 -0.5 \n",
+ "12970 -0.5 -0.5 \n",
+ "7485 -0.5 0.5 \n",
+ "11571 -0.5 -0.5 \n",
+ "15938 -0.5 -0.5 \n",
+ "12592 -0.5 0.5 \n",
+ "15868 -0.5 -0.5 \n",
+ "9881 -0.5 -0.5 \n",
+ "11324 -0.5 0.5 \n",
+ "10069 -0.5 -0.5 \n",
+ "6929 -0.5 0.5 \n",
+ "12737 -0.5 -0.5 \n",
+ "7674 -0.5 -0.5 \n",
+ "5291 -0.5 -0.5 \n",
+ "12722 -0.5 -0.5 \n",
+ "17594 -0.5 -0.5 \n",
+ "16506 -0.5 -0.5 \n",
+ "11018 -0.5 -0.5 \n",
+ "15326 -0.5 -0.5 \n",
+ "15981 -0.5 -0.5 \n",
+ "11411 -0.5 -0.5 \n",
+ "7188 -0.5 0.5 \n",
+ "6613 -0.5 0.5 \n",
+ "7714 -0.5 -0.5 \n",
+ "16297 -0.5 -0.5 \n",
+ "7871 -0.5 -0.5 \n",
+ "15292 -0.5 -0.5 \n",
+ "15426 -0.5 -0.5 \n",
+ "6954 -0.5 0.5 \n",
+ "9373 -0.5 -0.5 \n",
+ "11697 -0.5 -0.5 \n",
+ "10406 -0.5 -0.5 \n",
+ "\n",
+ " climatic_zone_warm_moist \n",
+ "id \n",
+ "10608 -0.5 \n",
+ "15981 0.5 \n",
+ "14695 -0.5 \n",
+ "10434 0.5 \n",
+ "16506 0.5 \n",
+ "16486 0.5 \n",
+ "11778 0.5 \n",
+ "15382 0.5 \n",
+ "3441 -0.5 \n",
+ "17533 0.5 \n",
+ "7113 -0.5 \n",
+ "3492 -0.5 \n",
+ "16445 0.5 \n",
+ "16018 0.5 \n",
+ "6967 0.5 \n",
+ "15947 0.5 \n",
+ "8354 -0.5 \n",
+ "11595 -0.5 \n",
+ "12131 0.5 \n",
+ "12970 -0.5 \n",
+ "7485 -0.5 \n",
+ "11571 0.5 \n",
+ "15938 0.5 \n",
+ "12592 -0.5 \n",
+ "15868 0.5 \n",
+ "9881 -0.5 \n",
+ "11324 -0.5 \n",
+ "10069 -0.5 \n",
+ "6929 -0.5 \n",
+ "12737 0.5 \n",
+ "7674 0.5 \n",
+ "5291 -0.5 \n",
+ "12722 -0.5 \n",
+ "17594 0.5 \n",
+ "16506 0.5 \n",
+ "11018 0.5 \n",
+ "15326 0.5 \n",
+ "15981 0.5 \n",
+ "11411 -0.5 \n",
+ "7188 -0.5 \n",
+ "6613 -0.5 \n",
+ "7714 -0.5 \n",
+ "16297 0.5 \n",
+ "7871 0.5 \n",
+ "15292 0.5 \n",
+ "15426 0.5 \n",
+ "6954 -0.5 \n",
+ "9373 0.5 \n",
+ "11697 0.5 \n",
+ "10406 0.5 \n",
+ "\n",
+ "[50 rows x 31 columns]"
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "test_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "27.73116075268817"
+ ]
+ },
+ "execution_count": 37,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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+ "experiments.shap_plots.force_plot(15981, model_dir=model_dir)"
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+ "metadata": {},
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diff --git a/jupyter/shap_plots.ipynb b/jupyter/shap_plots.ipynb
index 2436a56bf536bf28829296735c2ea8072baf8e21..717569a4c135b079acc580b16e4f0de136734bef 100755
--- a/jupyter/shap_plots.ipynb
+++ b/jupyter/shap_plots.ipynb
@@ -1197,7 +1197,7 @@
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diff --git a/jupyter/shap_rf.ipynb b/jupyter/shap_rf.ipynb
index b5ce809c299997f8fa65d218285420ac72821756..2c31d137cae3ea51b7dfbb532f5cb71968fe8d1b 100755
--- a/jupyter/shap_rf.ipynb
+++ b/jupyter/shap_rf.ipynb
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n.childContextTypes?u(\"107\",this.getName()||\"ReactCompositeComponent\"):void 0;for(var i in e)i in n.childContextTypes?void 0:u(\"108\",this.getName()||\"ReactCompositeComponent\",i);return c({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?v.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o?u(\"136\",this.getName()||\"ReactCompositeComponent\"):void 0;var a,c=!1;this._context===i?a=o.context:(a=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,a);var f=this._processPendingState(l,a),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,a):this._compositeType===_.PureClass&&(p=!m(s,l)||!m(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,a,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=a)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=c({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var u=r[a];c(o,\"function\"==typeof u?u.call(n,o,t,e):u)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(y(r,i))v.receiveComponent(n,i,t,this._processChildContext(e));else{var a=v.getHostNode(n);v.unmountComponent(n,!1);var u=d.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==d.EMPTY);this._renderedComponent=c;var s=v.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){l.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t,e=this._instance;return t=e.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==_.StatelessFunctional){f.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{f.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||t===!1||s.isValidElement(t)?void 0:u(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n?u(\"110\"):void 0;var r=e.getPublicInstance(),i=n.refs===g?n.refs={}:n.refs;i[t]=r},detachRef:function(t){var e=this.getPublicInstance().refs;delete e[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===_.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=x},function(t,e,n){\"use strict\";var r=n(4),i=n(358),o=n(163),a=n(24),u=n(11),c=n(371),s=n(387),l=n(167),f=n(395);n(1);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&(G[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML?v(\"137\",t._tag,t._currentElement._owner?\" Check the render method of \"+t._currentElement._owner.getName()+\".\":\"\"):void 0),null!=e.dangerouslySetInnerHTML&&(null!=e.children?v(\"60\"):void 0,\"object\"==typeof e.dangerouslySetInnerHTML&&V in e.dangerouslySetInnerHTML?void 0:v(\"61\")),null!=e.style&&\"object\"!=typeof e.style?v(\"62\",r(t)):void 0)}function o(t,e,n,r){if(!(r instanceof I)){var i=t._hostContainerInfo,o=i._node&&i._node.nodeType===H,u=o?i._node:i._ownerDocument;F(e,u),r.getReactMountReady().enqueue(a,{inst:t,registrationName:e,listener:n})}}function a(){var t=this;C.putListener(t.inst,t.registrationName,t.listener)}function u(){var t=this;S.postMountWrapper(t)}function c(){var t=this;A.postMountWrapper(t)}function s(){var t=this;P.postMountWrapper(t)}function l(){var t=this;t._rootNodeID?void 0:v(\"63\");var e=U(t);switch(e?void 0:v(\"64\"),t._tag){case\"iframe\":case\"object\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"video\":case\"audio\":t._wrapperState.listeners=[];for(var n in q)q.hasOwnProperty(n)&&t._wrapperState.listeners.push(k.trapBubbledEvent(n,q[n],e));break;case\"source\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e),k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topReset\",\"reset\",e),k.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function f(){N.postUpdateWrapper(this)}function p(t){Z.call(X,t)||($.test(t)?void 0:v(\"65\",t),X[t]=!0)}function h(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function d(t){var e=t.type;p(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var v=n(2),g=n(3),m=n(332),y=n(334),_=n(20),b=n(82),x=n(21),w=n(156),C=n(22),M=n(83),k=n(51),E=n(157),T=n(4),S=n(351),P=n(352),N=n(158),A=n(355),O=(n(9),n(364)),I=n(369),D=(n(8),n(54)),R=(n(0),n(94),n(80),n(96),n(1),E),L=C.deleteListener,U=T.getNodeFromInstance,F=k.listenTo,j=M.registrationNameModules,B={string:!0,number:!0},W=\"style\",V=\"__html\",z={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},H=11,q={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},Y={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},K={listing:!0,pre:!0,textarea:!0},G=g({menuitem:!0},Y),$=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,X={},Z={}.hasOwnProperty,Q=1;d.displayName=\"ReactDOMComponent\",d.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=Q++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(l,this);break;case\"input\":S.mountWrapper(this,o,e),o=S.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"option\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o);break;case\"select\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o),t.getReactMountReady().enqueue(l,this)}i(this,o);var a,f;null!=e?(a=e._namespaceURI,f=e._tag):n._tag&&(a=n._namespaceURI,f=n._tag),(null==a||a===b.svg&&\"foreignobject\"===f)&&(a=b.html),a===b.html&&(\"svg\"===this._tag?a=b.svg:\"math\"===this._tag&&(a=b.mathml)),this._namespaceURI=a;var p;if(t.useCreateElement){var h,d=n._ownerDocument;if(a===b.html)if(\"script\"===this._tag){var v=d.createElement(\"div\"),g=this._currentElement.type;v.innerHTML=\"<\"+g+\"></\"+g+\">\",h=v.removeChild(v.firstChild)}else h=o.is?d.createElement(this._currentElement.type,o.is):d.createElement(this._currentElement.type);else h=d.createElementNS(a,this._currentElement.type);T.precacheNode(this,h),this._flags|=R.hasCachedChildNodes,this._hostParent||w.setAttributeForRoot(h),this._updateDOMProperties(null,o,t);var y=_(h);this._createInitialChildren(t,o,r,y),p=y}else{var x=this._createOpenTagMarkupAndPutListeners(t,o),C=this._createContentMarkup(t,o,r);p=!C&&Y[this._tag]?x+\"/>\":x+\">\"+C+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return p},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(j.hasOwnProperty(r))i&&o(this,r,i,t);else{r===W&&(i&&(i=this._previousStyleCopy=g({},e.style)),i=y.createMarkupForStyles(i,this));var a=null;null!=this._tag&&h(this._tag,e)?z.hasOwnProperty(r)||(a=w.createMarkupForCustomAttribute(r,i)):a=w.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+w.createMarkupForRoot()),n+=\" \"+w.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=D(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return K[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&_.queueHTML(r,i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&_.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)_.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=S.getHostProps(this,o),a=S.getHostProps(this,a);break;case\"option\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"select\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"textarea\":o=A.getHostProps(this,o),a=A.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":S.updateWrapper(this);break;case\"textarea\":A.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(f,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(r===W){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else j.hasOwnProperty(r)?t[r]&&L(this,r):h(this._tag,t)?z.hasOwnProperty(r)||w.deleteValueForAttribute(U(this),r):(x.properties[r]||x.isCustomAttribute(r))&&w.deleteValueForProperty(U(this),r);for(r in e){var c=e[r],s=r===W?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(r===W)if(c?c=this._previousStyleCopy=g({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(j.hasOwnProperty(r))c?o(this,r,c,n):s&&L(this,r);else if(h(this._tag,e))z.hasOwnProperty(r)||w.setValueForAttribute(U(this),r,c);else if(x.properties[r]||x.isCustomAttribute(r)){var l=U(this);null!=c?w.setValueForProperty(l,r,c):w.deleteValueForProperty(l,r)}}a&&y.setValueForStyles(U(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=B[typeof t.children]?t.children:null,o=B[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return U(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"html\":case\"head\":case\"body\":v(\"66\",this._tag)}this.unmountChildren(t),T.uncacheNode(this),C.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return U(this)}},g(d.prototype,d.Mixin,O.Mixin),t.exports=d},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(96),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" \";if(t.useCreateElement){var c=n._ownerDocument,s=c.createComment(u);return o.precacheNode(this,s),i(s)}return t.renderToStaticMarkup?\"\":\"<!--\"+u+\"-->\"},receiveComponent:function(){},getHostNode:function(){return o.getNodeFromInstance(this)},unmountComponent:function(){o.uncacheNode(this)}}),t.exports=a},function(t,e,n){\"use strict\";var r={useCreateElement:!0,useFiber:!1};t.exports=r},function(t,e,n){\"use strict\";var r=n(81),i=n(4),o={dangerouslyProcessChildrenUpdates:function(t,e){var n=i.getNodeFromInstance(t);r.processUpdates(n,e)}};t.exports=o},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&f.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=c.executeOnChange(e,t);l.asap(r,this);var i=e.name;if(\"radio\"===e.type&&null!=i){for(var a=s.getNodeFromInstance(this),u=a;u.parentNode;)u=u.parentNode;for(var f=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<f.length;p++){var h=f[p];if(h!==a&&h.form===a.form){var d=s.getInstanceFromNode(h);d?void 0:o(\"90\"),l.asap(r,d)}}}return n}var o=n(2),a=n(3),u=n(156),c=n(85),s=n(4),l=n(11),f=(n(0),n(1),{getHostProps:function(t,e){var n=c.getValue(e),r=c.getChecked(e),i=a({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange});return i},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&u.setValueForProperty(s.getNodeFromInstance(t),\"checked\",n||!1);var r=s.getNodeFromInstance(t),i=c.getValue(e);if(null!=i){var o=\"\"+i;o!==r.value&&(r.value=o)}else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=s.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=f},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(158),c=(n(1),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){var n=a.getNodeFromInstance(t);n.setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length,a=o+r;return{start:o,end:a}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(392),l=n(168),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(2),i=n(3),o=n(81),a=n(20),u=n(4),c=n(54),s=(n(0),n(96),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \",s=\" /react-text \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var l=n._ownerDocument,f=l.createComment(o),p=l.createComment(s),h=a(l.createDocumentFragment());return a.queueChild(h,a(f)),this._stringText&&a.queueChild(h,a(l.createTextNode(this._stringText))),a.queueChild(h,a(p)),u.precacheNode(this,f),this._closingComment=p,h}var d=c(this._stringText);return t.renderToStaticMarkup?d:\"<!--\"+o+\"-->\"+d+\"<!--\"+s+\"-->\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n?r(\"67\",this._domID):void 0,8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(2),a=n(3),u=n(85),c=n(4),s=n(11),l=(n(0),n(1),{getHostProps:function(t,e){null!=e.dangerouslySetInnerHTML?o(\"91\"):void 0;var n=a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange});return n},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a?o(\"92\"):void 0,Array.isArray(c)&&(c.length<=1?void 0:o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;\n",
- "n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t?void 0:c(\"33\"),\"_hostNode\"in e?void 0:c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in t?void 0:c(\"35\"),\"_hostNode\"in e?void 0:c(\"35\");for(;e;){if(e===t)return!0;e=e._hostParent}return!1}function o(t){return\"_hostNode\"in t?void 0:c(\"36\"),t._hostParent}function a(t,e,n){for(var r=[];t;)r.push(t),t=t._hostParent;var i;for(i=r.length;i-- >0;)e(r[i],\"captured\",n);for(i=0;i<r.length;i++)e(r[i],\"bubbled\",n)}function u(t,e,n,i,o){for(var a=t&&e?r(t,e):null,u=[];t&&t!==a;)u.push(t),t=t._hostParent;for(var c=[];e&&e!==a;)c.push(e),e=e._hostParent;var s;for(s=0;s<u.length;s++)n(u[s],\"bubbled\",i);for(s=c.length;s-- 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r(){C||(C=!0,y.EventEmitter.injectReactEventListener(m),y.EventPluginHub.injectEventPluginOrder(u),y.EventPluginUtils.injectComponentTree(p),y.EventPluginUtils.injectTreeTraversal(d),y.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),y.HostComponent.injectGenericComponentClass(f),y.HostComponent.injectTextComponentClass(v),y.DOMProperty.injectDOMPropertyConfig(i),y.DOMProperty.injectDOMPropertyConfig(s),y.DOMProperty.injectDOMPropertyConfig(b),y.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),y.Updates.injectReconcileTransaction(_),y.Updates.injectBatchingStrategy(g),y.Component.injectEnvironment(l))}var i=n(331),o=n(333),a=n(335),u=n(337),c=n(338),s=n(341),l=n(343),f=n(346),p=n(4),h=n(348),d=n(356),v=n(354),g=n(357),m=n(361),y=n(362),_=n(367),b=n(372),x=n(373),w=n(374),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof 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v={_enabled:!0,_handleTopLevel:null,WINDOW_HANDLE:s.canUseDOM?window:null,setHandleTopLevel:function(t){v._handleTopLevel=t},setEnabled:function(t){v._enabled=!!t},isEnabled:function(){return v._enabled},trapBubbledEvent:function(t,e,n){return n?c.listen(n,e,v.dispatchEvent.bind(null,t)):null},trapCapturedEvent:function(t,e,n){return n?c.capture(n,e,v.dispatchEvent.bind(null,t)):null},monitorScrollValue:function(t){var e=a.bind(null,t);c.listen(window,\"scroll\",e)},dispatchEvent:function(t,e){if(v._enabled){var n=i.getPooled(t,e);try{p.batchedUpdates(o,n)}finally{i.release(n)}}}};t.exports=v},function(t,e,n){\"use strict\";var r=n(21),i=n(22),o=n(50),a=n(86),u=n(159),c=n(51),s=n(161),l=n(11),f={Component:a.injection,DOMProperty:r.injection,EmptyComponent:u.injection,EventPluginHub:i.injection,EventPluginUtils:o.injection,EventEmitter:c.injection,HostComponent:s.injection,Updates:l.injection};t.exports=f},function(t,e,n){\"use strict\";var r=n(385),i=/\\/?>/,o=/^<\\!\\-\\-/,a={CHECKSUM_ATTR_NAME:\"data-react-checksum\",addChecksumToMarkup:function(t){var e=r(t);return o.test(t)?t:t.replace(i,\" \"+a.CHECKSUM_ATTR_NAME+'=\"'+e+'\"$&')},canReuseMarkup:function(t,e){var n=e.getAttribute(a.CHECKSUM_ATTR_NAME);n=n&&parseInt(n,10);var i=r(t);return i===n}};t.exports=a},function(t,e,n){\"use strict\";function r(t,e,n){return{type:\"INSERT_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:n,afterNode:e}}function i(t,e,n){return{type:\"MOVE_EXISTING\",content:null,fromIndex:t._mountIndex,fromNode:p.getHostNode(t),toIndex:n,afterNode:e}}function o(t,e){return{type:\"REMOVE_NODE\",content:null,fromIndex:t._mountIndex,fromNode:e,toIndex:null,afterNode:null}}function a(t){return{type:\"SET_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function u(t){return{type:\"TEXT_CONTENT\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function c(t,e){return e&&(t=t||[],t.push(e)),t}function s(t,e){f.processChildrenUpdates(t,e)}var l=n(2),f=n(86),p=(n(40),n(9),n(15),n(24)),h=n(342),d=(n(8),n(388)),v=(n(0),{Mixin:{_reconcilerInstantiateChildren:function(t,e,n){return h.instantiateChildren(t,e,n)},_reconcilerUpdateChildren:function(t,e,n,r,i,o){var a,u=0;return a=d(e,u),h.updateChildren(t,a,n,r,i,this,this._hostContainerInfo,o,u),a},mountChildren:function(t,e,n){var r=this._reconcilerInstantiateChildren(t,e,n);this._renderedChildren=r;var i=[],o=0;for(var a in r)if(r.hasOwnProperty(a)){var u=r[a],c=0,s=p.mountComponent(u,e,this,this._hostContainerInfo,n,c);u._mountIndex=o++,i.push(s)}return i},updateTextContent:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[u(t)];s(this,r)},updateMarkup:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[a(t)];s(this,r)},updateChildren:function(t,e,n){this._updateChildren(t,e,n)},_updateChildren:function(t,e,n){var r=this._renderedChildren,i={},o=[],a=this._reconcilerUpdateChildren(r,t,o,i,e,n);if(a||r){var u,l=null,f=0,h=0,d=0,v=null;for(u in a)if(a.hasOwnProperty(u)){var g=r&&r[u],m=a[u];g===m?(l=c(l,this.moveChild(g,v,f,h)),h=Math.max(g._mountIndex,h),g._mountIndex=f):(g&&(h=Math.max(g._mountIndex,h)),l=c(l,this._mountChildAtIndex(m,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(m)}for(u in i)i.hasOwnProperty(u)&&(l=c(l,this._unmountChild(r[u],i[u])));l&&s(this,l),this._renderedChildren=a}},unmountChildren:function(t){var e=this._renderedChildren;h.unmountChildren(e,t),this._renderedChildren=null},moveChild:function(t,e,n,r){if(t._mountIndex<r)return i(t,e,n)},createChild:function(t,e,n){return r(n,e,t._mountIndex)},removeChild:function(t,e){return o(t,e)},_mountChildAtIndex:function(t,e,n,r,i,o){return t._mountIndex=r,this.createChild(t,n,e)},_unmountChild:function(t,e){var n=this.removeChild(t,e);return t._mountIndex=null,n}}});t.exports=v},function(t,e,n){\"use strict\";function r(t){return!(!t||\"function\"!=typeof t.attachRef||\"function\"!=typeof t.detachRef)}var i=n(2),o=(n(0),{addComponentAsRefTo:function(t,e,n){r(n)?void 0:i(\"119\"),n.attachRef(e,t)},removeComponentAsRefFrom:function(t,e,n){r(n)?void 0:i(\"120\");var o=n.getPublicInstance();o&&o.refs[e]===t.getPublicInstance()&&n.detachRef(e)}});t.exports=o},function(t,e,n){\"use strict\";var r=\"SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED\";t.exports=r},function(t,e,n){\"use strict\";function r(t){this.reinitializeTransaction(),this.renderToStaticMarkup=!1,this.reactMountReady=o.getPooled(null),this.useCreateElement=t}var i=n(3),o=n(155),a=n(17),u=n(51),c=n(162),s=(n(9),n(53)),l=n(88),f={initialize:c.getSelectionInformation,close:c.restoreSelection},p={initialize:function(){var t=u.isEnabled();return u.setEnabled(!1),t},close:function(t){u.setEnabled(t)}},h={initialize:function(){this.reactMountReady.reset()},close:function(){this.reactMountReady.notifyAll()}},d=[f,p,h],v={getTransactionWrappers:function(){return d},getReactMountReady:function(){return this.reactMountReady},getUpdateQueue:function(){return l},checkpoint:function(){return this.reactMountReady.checkpoint()},rollback:function(t){this.reactMountReady.rollback(t)},destructor:function(){o.release(this.reactMountReady),this.reactMountReady=null}};i(r.prototype,s,v),a.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){\"function\"==typeof t?t(e.getPublicInstance()):o.addComponentAsRefTo(e,t,n)}function i(t,e,n){\"function\"==typeof t?t(null):o.removeComponentAsRefFrom(e,t,n)}var o=n(365),a={};a.attachRefs=function(t,e){if(null!==e&&\"object\"==typeof e){var n=e.ref;null!=n&&r(n,t,e._owner)}},a.shouldUpdateRefs=function(t,e){var n=null,r=null;null!==t&&\"object\"==typeof 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- ],
- "text/plain": [
- "<IPython.core.display.HTML object>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import shap\n",
"#shap.initjs()\n",
"\n",
- "import experiments.shap\n",
+ "import experiments.our_shap\n",
"from models.random_forest import RandomForest"
]
},
@@ -111,14 +68,38 @@
"cell_type": "code",
"execution_count": 3,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Groesse Trainingsdaten (3342, 31)\n",
+ "Groesse Testdaten (1110, 31)\n",
+ "Provided model function fails when applied to the provided data set.\n"
+ ]
+ },
+ {
+ "ename": "TypeError",
+ "evalue": "'NoneType' object is not callable",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m<ipython-input-3-586e1d5718b2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;31m# run shap calculation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m dictionary = experiments.our_shap.shap_rf(\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0mfolder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmodel_folder\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/stadtler/xairq/source/experiments/our_shap.py\u001b[0m in \u001b[0;36mshap_rf\u001b[0;34m(folder, data, n_indices_train, n_indices_test, n_samples_explainer)\u001b[0m\n\u001b[1;32m 185\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 186\u001b[0m \u001b[0;31m# run shap\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 187\u001b[0;31m \u001b[0mexplainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mshap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mKernelExplainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_numpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 188\u001b[0m \u001b[0mshap_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexplainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshap_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_numpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnsamples\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mn_samples_explainer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/stadtler/xairq/venv/lib/python3.8/site-packages/shap/explainers/_kernel.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, model, data, link, **kwargs)\u001b[0m\n\u001b[1;32m 66\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeep_index_ordered\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"keep_index_ordered\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 67\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconvert_to_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeep_index\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeep_index\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m \u001b[0mmodel_null\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmatch_model_to_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 70\u001b[0m \u001b[0;31m# enforce our current input type limitations\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/stadtler/xairq/venv/lib/python3.8/site-packages/shap/utils/_legacy.py\u001b[0m in \u001b[0;36mmatch_model_to_data\u001b[0;34m(model, data)\u001b[0m\n\u001b[1;32m 110\u001b[0m \u001b[0mout_val\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert_to_df\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 111\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 112\u001b[0;31m \u001b[0mout_val\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 113\u001b[0m \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 114\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Provided model function fails when applied to the provided data set.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not callable"
+ ]
+ }
+ ],
"source": [
"# set the folder where your Random Forest model results are located\n",
"model_folder = 'egu_pruned_rf'\n",
"data='stations'\n",
"\n",
"# run shap calculation\n",
- "dictionary = experiments.shap.shap_rf(\n",
+ "dictionary = experiments.our_shap.shap_rf(\n",
" folder=model_folder,\n",
" data=data,\n",
" #n_indices=50, # set this to None if all data shall be used\n",
@@ -137,61 +118,11 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"metadata": {
"scrolled": false
},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 576x1000.8 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "23.96 % lat\n",
- "16.21 % relative_alt\n",
- "10.44 % alt\n",
- "9.73 % nightlight_5km\n",
- "5.37 % forest_25km\n",
- "4.41 % population_density\n",
- "4.12 % nightlight_1km\n",
- "4.11 % water_25km\n",
- "3.54 % max_population_density_25km\n",
- "3.51 % no2_column\n",
- "3.04 % max_population_density_5km\n",
- "2.68 % savannas_25km\n",
- "1.73 % croplands_25km\n",
- "1.68 % grasslands_25km\n",
- "1.62 % nox_emissions\n",
- "1.18 % climatic_zone_warm_dry\n",
- "0.65 % shrublands_25km\n",
- "0.35 % max_nightlight_25km\n",
- "0.33 % climatic_zone_warm_moist\n",
- "0.32 % climatic_zone_cool_moist\n",
- "0.3 % rice_production\n",
- "0.27 % permanent_wetlands_25km\n",
- "0.25 % climatic_zone_cool_dry\n",
- "0.14 % climatic_zone_tropical_dry\n",
- "0.03 % climatic_zone_tropical_wet\n",
- "0.02 % climatic_zone_tropical_moist\n",
- "0.0 % climatic_zone_boreal_moist\n",
- "0.0 % climatic_zone_polar_moist\n",
- "0.0 % climatic_zone_boreal_dry\n",
- "0.0 % climatic_zone_polar_dry\n",
- "0.0 % climatic_zone_tropical_montane\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"# plot and print\n",
"shap.summary_plot(shap_values, test_df, show=False, max_display=99)\n",
@@ -202,22 +133,9 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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lMKGokq3Ds6n3etiQkoJO8yPEULe3g7C01uVKqSXARcAjsX8X79T/C/AYcKpS6mHceHcc8PR+F7iXDIkALMTOpl89mY0vl+CxHZpSkwhqN+imjk9r2yfs8fDkyYfSmBYEpfBFo6SGI6A1yS0toBTZoTCHbVvbdsy0qhJmbNrEGwfMoiI9mUjUZt76Ej4alY9WCpI8RJWiOsmLY7SQ3him0e/jqo+X4Y01Tw9raiY1EqXm6oM44EuFvPpOOZunFFAd8LOwYBi2YRC0bQ5pbibFn4UQQ90+joK+FnhIKXUTUANcBqCUehG4SWttAf8CTGAl4ACvAPf3Rpl7gwRgMSQNOyCbkTccwDsv1hD1ehmRHcCOaqZ9fyafv7iOtM01DGuuoTH9oLZjPFGHYCiELxIl7FMYDpyztZgl02Yx6YMyAFbkjePRww/hs+HZ0OjWsuun+AhGooR9HmzV/pVqCXgJNoU5eVt5W/CtSAny/vA8tN9Pml/zjZpMcmeMJC1qsyU9Fdtw+4BbPR5Sozb1jTYZafI1FWJnWuvVwC7J07XWp3a47wDfid0GHPlmiyGrvA4ifrcJt7gowusPFzPz45VcuOhJPLab2eqN8oPZmjcCgBlFG4k6Uf510HxS0By2vYzgqFQeGHY6awKjSI6EeGuCSUlqCjS1N3FvTEsFnwd/1EZHHRyvG0SjtkN5SpBFo/M4wVpJi9fHrcfN47jVRRhlzZz0hxrerE/iCxlpzKmqJTkSBe3WBTSQHImwdnOUebPkayqGtkTJfLUz+WaLIatoQwshw6DZ5yUlEmXNv4vIemsFI+32tJKXLHyGRQXzGNlSy7SSIgDK0jN4ddpMSr0BWqs0pCneGT8XYiOUG1qjkLxT36xShH1egvUh8ChsDRGPBzywMjuNl2eNI7+2kevfWsqBRW4O6jXbKvjg4mNYl5WOMgwyQyFGhsIYQKOhOGBzEXlJkpRDJILEDMBDZhqSEDvLmJzG6uwsNmekszo7E6O0gW3ZIyhKHw6ArQxWjJrKGRtebwu+AIU11e4drclsCeFRGg8QBZTtkN/SCqEIOBrlOPhi144kH3iTPbQ6ishOF5SSzDTym1uYVF7btm1sdQPHl1Uzp66JFBTbMtLbvpCpjuafMyaSmS5fUTH0JWouaKkBiyGptTpExbYWHCMdANswaHAMpta18tiB5zOyYTt1wTTSQo34aWRFVhqG42FUfS0fjB1PYVMjBU1NRFN83HhtFu8sj7JkcT0HfbSO0yNRVmVlcM/syTgBHxHD4NDRig9rPLF+Ye22IWsNSuG3HdK9Xj4oHI7RClO3uQG+eGQWqXb7VKig03laVLXfz3NPl3PJ1wr7688mRFwkSsDdmfy8FkPSxz/5DOOT9oUVlILsUIiwNhi/poxoQxJHXTeN4qwCfnL0OZhf+zYHff3rPGxO4BfPP8307ZUowNcU4ca7Kznv5DS+mlbn9tMC02rqmNTUDLFBU+sqHPdFUnwQ8IByH2ZGwxxQUcumlGQCQT9NhVlsmJrP+unDWTE5n5YO6/4WpwcpTwkQMiCrppbLVqyl7K3t/fp3EyI+9n4xhqFAasBiSGoqbqawvIbDlq2lLCudU64bS2nyWCr/HSK/uh57Sjb3v2cTzsjm7qlzAdDK4LZDv8BpK+7E0yFTndNi8/TnYY7M7tDvq6DZ5wXbAUNx1DgvL5dBY0RBkhciNtrWXHGIn7+9EcAsryLi87Jw9Ahm+yt4o7CARfk5KGBsfTOOUmzJSUH5PPzqmfdICbuBPtLkJRrVeL2JcUESiWlA5IWMAwnAYkiadPF4qpZ+yvjSSkZX1rD5Z2Uo7dCcE2Tr4aMptlMo2FLFtLL1PDsqi6L0bABGN1TxadYUbA0NKcnYhmJEJMqUPA8HHzaB5uowNZsaeSI5l22pKQAEDM0j5/oob1F875UwT34egaCXjAA8tV5zfGkZi4fnU+NookrxUV4m1bFlCTWwKS2ZiXWNjGlooSgjmeRw+yAxrTUtLQ5paZ5d3qMQQ0WiNkFLABZDTqgpytuv1NCYl443FCWaHCDY2IzhaHzYpCzZRtXEcaAUx6z7iOe3L+fHx5yN345y6prPKCgJsHSGj1BsZaMCHE6b4qW4BYZ/fQYn5hv88DeNUNv+u93rUYxOVzxxfoDl9R5WVmjqmqLUATMMg+RYjbo4LUiD39vpJ/+o5ham1jexWScztinM53k5HFhehQbqk5NwWqIgAVgMaYkZgKUPWAw5Hz5dSuuScpKbWvFoB20YnQKeg8HMrWtAKVp8PmaXF/P8E3fwn6fvpjI5DbQHw2k/QDtw/8dhJvw1zOy7w8z+W4g/nxEgPQABL9x1ZhBPx77cJtoWZQDYlJVOcmxlpZDHcDuHd2Su1Jo5lXVUJgWYWd+MWddMVW4WJXm5RA2DzKZmPnuvpk//XkLEW6KOgpYALIacaETjiQ2WMmwHZdtEfT43KGqNYWuya+sZWVPE0uzZVCSlEjY8/HvSgdx0+gUUZWcyce32HeOrOPjIDO56p4H85jDzy+vQaxpYWwW1N6fSdEsqV8zzdXr9S6Yr8MSCrNasGZbNUWVVzKmsZkZVvbuTUmAotIIGv48xzSE8Grwa0rSiPiWZsrxcNzNWRqAf/3pC9L9EDcDSBC2GnAXnFLDhqU1QVIcCkg2b6uQAuY0tlKcm88n4UShjCgdVVnPs5nVcfvH1OF6beVu3ceD2UsqykjlmTjKtXx9HjldzynjN+stexRp1EIZS5IYirFxooI7IxtPFdeKO4z2cOVGxvU5x/b+aqfd4CXsMRjS3kt8SYnpNPZ8Ny2JVdhoYBquyUikoq+10DkcpIj4vxblZfPeYjH75uwkh+pcEYDHkpGb7ufaVoyhaVMGWzSEeszQ1DQ7j1xTxn8njCfvcj33E5+Fi4IY33mHe9s0AfOPd91l92wVc4J/KhoVextY08v76UkifQkFLK+VJ7sINowPtTcwtEc1VrzosKtWcN1nxf0d6OGGsARj8+hUP9fXwbOFwTi0qI812yAtFOLmoHG0oVmelUZaaxPLmMLPqmzGAWq+H9Gab9zLTKA0GeO0vLWx3vJwyweDBM7x4jcSoHQgx1EkTtBgyIramtqU9MNoZKTz9rxqS1tWSVdHER2PHtAVfgO1pqWzLyGbk9mbqSAXAb9vk2a1sCLn7zS2tcddQAVIjUXyOJqBsvnhSatt5/vSp5rFVmvW18JtFmhc3tifUePbKIIEkg5K0JBYP77yyUVKkfbRzTcDHwqxUVqQlMa66hg1+L59mZVCSFGRlUYTqeptHlzs8uqzrNYyFGMykCVqIQezTYpuTH2ihsgmuNL3cd26Qv9xfjkdD2GOAglQ7woj6CCXpqQRsm8kVNehmRT1p1JOGRpGVGSH1iLGkvxGmPuinqUPA9hmaXx5excjzZ5OZ3j4quS7UeRZjXaj9/uQcD0U3GCyv1IzzeXn4F/VUl0dYk5LE4mw3SxeOJqexmeFRTYbtUJmeTpVvp1HPsUFhjeFEnTEphrJECbg7kwAshoRb3ghT2eTev9+Kckh1CaEV1TSlp9IU8OMAEa+H8YSY1FRHi+1hfE0DwYjddo63Rk3i1JdOYNTMHO76bAv3L9Wk2xGmzkwi6iiOOT2bhVsdeLORy89Ix4g1BX9jrsF/19usq4FjRivOmdT5YpKbrDi6ULG5RLHeCPJ+XjobkoPQFAa/B5L8LM3JxF9Zx7BQmLyGJtI9BmtTkmnwecFQ4DNQWnPhDGm0EkORBGAhBq30QPsXOM22efgTjTN6OKMbmiisa2BrSjLVyUlU40dpzeiWFrYPy6Qp6CelNYytFA/MnUVdYzrfBi7++hjOb7bx+g2MWBaqs68rJhJxa6AvvNvEv//oLmM4Kk2x+goPta2QndT1hcR2NN+9vZoq209JUoeMWmEbgm7O6M+y0jimtAKf1gRtm2s3bmNjwM/LM8eAAbef4iUnWQKwGHoStV1HArAYEn57ip/yJs2maodjkjQr690a48j6RvLK6lg/KbltX60UEWXQnBTggdMPob62mY05GawYkcsNoSYgEwB/cnsz8Ip1rW3BF6Cl3qGoNMKo4e4UJEMpspN2X77mVk1Vndt/G9Calth2peD3J3p54+MmVm6O4HViOaUBn9b4fR5ePcvDoXP2cHIhBrlEbYKWn9NiSBiebvDKFUms/V4KF8yPzZt1NHM+2cCMpVtZsHhjW3KMCFDrMSjzelmWk8UrM8axYkQuVy6xOG37pi7Pnxzs/FXRwN/uLu9x+dKSDY6aGwRgQjhClm2Tqh08qQE2rGqlYk0zxUE/7w7PQcfmK9f4vFSkpzNlnL+bswsxuMkgLCH6iW5oxfnFc+iqRjzfPRE1c+R+n7O60eGafzZQUq+56dQkgimKxsoImbXNAMzauJ1WQ/Hs4TPY4vNipySTEbU5dnsJj775AtlNDaQqB+Ov3+ny/ONG+wn4FaHYICiv1pSURLvcd3d+/tVMXl7Ywk0PNzDadlifm4bt9/DoVoe6tBTwevggL4cPh2VjaM3U5jDH5NrkZHrYVqf5yrMRSho0PznCy8WzJTWlGEoSI+DuTAKw6Hf2NQ+jH18EQPTFZXi33IYK+ro5as9O/Ws9xaVRDOCSB5uoVEG82X7K0pLIb3AbfBt8XpanBDm8rpFgOEpAa94YNYI3rvgqZ7WWcpwnxKp/hTn+lAbMBWmdzh+JasKRzj1VxxzdeZ/uGIZi2li3Nrs9I4nmgPv1q0sJQKS1bf1grRQB28G2bY4d46C15psvR3hjk9uEffmzEY4fb5CfmpgXLTH0JEqNd2fSBC36nV7Zvk4v5Q1Q1bjf5ywqt9s+zMlRB49HEU3y88MvHsFbM8ewcvooWifmcXRlDdlllSxPCvBxdirbcjPYlpnBXwumcgtj2LiulfvuLKWqItLp/D6v4sQjUtoen3RECpddnLPX5Rw33MtXTkppS3OJ40Ao6k4zijpgOxxY28ixlXV4PIr/W6R579UaalvbzxF1ZDqSGFp0F7dEIDVg0e+MKw/H+ea/AFAnz4QRmbvsU9Lo/iYe3sNaXmpA0dLsfm014HjcCFeRkULptBE0x5b4G1vbyJPjRoNStCZ37lv9LC+TkU2tFDSHaGy0yRnWuVb+jcuyOOGwZPw+xfjCfe+X/fqZqZx3nMPse0OUF7e2zfHNtG3M+iaO2FLEB6PzWTEsH4ArFke570IPn5U61Ifg+nkeJmTLb2cxdCRqDVgCsOh3nm8ch1MfxVlXjvfHJ6FU5y/fz963+eXHblC6+VDFzw/dc39nxNYEcNpGFgeCyo3CUXeOr5Ppg3I3AFelp7aNMva3Roj6Pdje2PkVlCcHOGWGj9Fjul4AYeqE3lkYIT/V4KicKE9ta/+tX+cxOKiolPSWVpblt9euN0S8TMhUlH0vQHNk91OdhBi8EvMzLT+jRf94ZTF84ZfwtXuoPf1hyn/6MdUPrafx0DvR1c2ddv3Vx+1B6ZaPum+MamjR1HY4hW6KQsRua8ta3wyp1U1EDIO0gMH41hBoTTBq421oxbBtMCDJp/jNddlce8PwtiQbfenL8zoHc60MPI7bzzuqrkOzvKP54Ushgl4lwVcMSfsyClopNVkp9ZFSam3s30l72HeKUqpZKfX7Xi34fpIALPpeSTX6rNvgxc+I/u0tGp/fjMaDjY+WKgd7ze6n8zg96AzKTjU4bU57k3BOJIruUKsON0Q49s0V+JpChCKaw7JhflMLOuAjlBLkzEkG957q5dMrfBw93b9LjbyvfGG6n2MnxRqhlAKlWFqQR9QwOG/5eg7bWkZKcxiawzyxJMKxD4f513J7zycVYhDaxz7gu4E7tdaTgTuBe7raSSnliT33zP6XtHdJABZ9b3sNqjUMgIOHTs1NQT+e6fmddr94evv9L07u2Uv89ctpPPnNdJLSDFakp+DXsaQXkSgXLFqHx9HkVjbgDyr+cEsBJQcNozI3BVJ8rG/xMH84TMvt/9rlhXMCKMNoaxZ/Py+LTyaOZeW4QlIcRUvUAQ2OoXhrK1z0bJR3t8iCDGJo2dsasFIqD5gLPB7b9DgwVyk1rIvdbwSeB9b2Zpl7gwRg0ef09EKacNe09dKK8rkBRKX6yPzvhaiMzlme7jjOw1WzFFfOUvz9pJ7NdzUMxYZGxRrbR5PXQ9jn5ZBtFTzy91eZt6WcsNdDaX4m26IGTQ02SSntwx+WVcIB90a54n+RPbxC3/jbR+G2X/t+D/z5kjSyW5pJa2omv7GJwlCY3CDQNmBM8dxaqQWLoWUfmqBHA8Vaaxsg9m9JbHsbpdQBwEnAn/qg2PtNBmGJPqeCPipnH0nV0i3Y+HAKhhHZ1oBhBMhKTd5l/zP/a/NOkXt/c53D61/sWRBu7LAqUcB2GL0ghzeCcxm2porS4Zk0pSeRY9skJXs4MM/hk9LYzrEMWQ8scfi/Y3W/zq9t6TC3OOpAw4slNAWTIQiZ9Y0cv72S5/JHQ8QBwwNac85UScIhhj6l1NXA1R023au1vncvjvcB9wJf0Vrb/dW1tDekBiz6TLghQmOxu0TRyFe+SNL3jsZzwmQi2xoBhVMfpvLmj3Y57oMO04TfL+r5jMCL5/g4bIyHZNvmlNo69Of1NKUkUbJgNE3pbi177Gg/waDBX07wcPPhBoWpQCwIZgQgrXcGOffY7WcmkR4Er+HeX7w6TKvHoMXroTIjDR0KU9ao8UWiHDdK88y5HhaMlgAshhq1y01rfa/W2uxw6xh8twEjY/27O/p5R8S27zAcmAC8qJTaDHwb+KpSqsdBvK9JDVj0idKPynntmo+INkUpPDof34eVhLc2kttcTTJOrIlJ4cncNeJ5FbQledyLH60pfsVp0zwUVRosDiczp76JlhaNOVJTeHQmXp/BCce52auCXsXPD/dwzYEGN7wSpbpFc9ORXpJ9/fsr+aSpPmpuzcDW4PMoLr7Phx3L0hH2GNQk+SHoJeLz4Asqjh0vwVcMPXubeENrXa6UWgJcBDwS+3ex1rqiwz5bgdwdj5VSNwOpWuvv7XeBe4nUgEWf+Pxva4g2uWF061vbqS5pwuu0kEkzAaL4ieCdnUve7UeztCTK159u4rbXW4jYmtQOOS5S9iJD5e/fCfGjl8NsaVJsSQqwJsWt9a74sIq8reWcdmoGgYBBa8hN7/jWJptHltr89AgPr1zi57DC+HwdDEPh87iBPye7PcBqpTi4ug6fV4GheHkT/H6RDMASQ88+LsZwLfANpdRa4BuxxyilXlRKmX1Y3F4jNWDRJ4I57TXbYMjGCRgUNlS1fa0MwDs5g4asFI75VR3VsSxWlU2ae08M8pWX3UDz9xN7HhTv/DDc6XGV18OnqUlsyR7H2CVbOMTR3HZfDe980kIkL8Bb/lQ08It3YPE1fiYOgOxSX7l8GL/+UzmOYTCsvoFg1CY5HKEuyQ3MTf0/TkyIPrcvmbC01quB+V1sP3U3+9+81y/SxyQAiz4x/yezsUM2jduaCFuVeB0bj9bsaFPWQOr4dLbUOG3BF2BxcZTfnWlw9qS9D4aj02FzrbugAVpT7vOCz/2ILy/IYcnqEO984ubLWh/yoGM17cYwfLRNMzF7v95yr5hzQDKTS8vwOw5+28EGoh43+E7Jhhvmxf9HghC9LVFTUcq3WfSJpNwgx921gDOfO55JV08mikGZP5Ud0+yjWUGybj2S6QUeDhzZ3ux64Zx9z7F80wlB8lMUmQHNUWNV2+hmpTXHnJFP0K9wgBXJAcpQ7iII2i1PfsoeT91vXnurgajPh2N4CHm9hP1+CuwQS680WH21j5FpiXmhEkObLMYgRB/xaYXXhu3JOdSMzefvB03lP1Mmc/lLDg+c6eHdb6TzyuoIozMN5o/dt4+k7Wiu/HeIsiYARWayh9MnaVavCTEh4DA/M4npEwOMMNN4bUPsoKjjVsgNg6XbHU6cGP8BTgutZlr9fgK2416Egh6W/SidpGD8yyZE30nMH5ZSAxZ9rujfW9ruh8qjPD9+PAAPLrH5fLtDWlBx3oH+fQ6+APWtsLW2/XfzijKH6Q0hJjaEUJURfnFnJZGIZsqknUZdxw6ZmT8wvgpjRnlpTApSlZpMbXISzcMl+Iqhbx8HYQ16A+OqI4ak1iabT1+txFvYvnB9fUEa4Vi/rKEgvRfm3TaGND96oZlsv+2urwtcbvqoqW/PGNXcoglFNF+d72NGLNiOyza48AAvD5/r5+RJAyPIXXxBNqlBaPX7aQoG8LeEcexEaZATiSpRA7A0QYs+YUc19/9wDds3tmA46Sw4NciocUlkfHkKpy4y2FKn+c4CD+Oy9v834A+ea+aej3aMgNb8/HAPUxtbGD4tQEl5FNuGs45PJTXZIBVYekMKVc2anGTVL6se7Q3DUMz0NrKuXmM4mtSWFurLQ2QOD8a7aEL0mUT9iSkBWPSJ2vIQ2ze6I44dj8HmYdkM+9oUDn08THmTzS+O8XLFnN75+H1W3Dk38jvP17Iq4m675sIs5pnJ5Oe2v5ZhKIb1Y7rJvTV6aiqV68oASMv1k5K9F5OhhRiEEqXGuzNpghZ9Ij3HT8aw9hHNhdNSuempBoyiRiJRzY9ej1Jc3zu/e79ycHs7th/IjbQH5E1bwp2C72Bw3NfGMemoXPKnp/OFGyfjCwyM5nEh+oo0QQvRi3wBg6t+Oxnr5UpSs3z4A4q5t6/FBNZnpPL45DH0Vuvv1Yf4eXp5lNfXOyht02Io/Bq8WnPAzMHXdPv+02Us/bgBgCd/t4lv3juT5mXVNKypI//EkSSN3HUBCyEGM2mCFqKXZeYHOP7LIwH427dWtjW3TKxrZKIKMTytdwLJz14N8/p6d/BVesjm3YwU0m2Hcwo0Rx6W2iuv0Z+2rmxsu99UG2X9Pzey8WcWaAjkL+OY904lMGzw/bAQYncSpca7M2mCFv0i0mHRhRaPwbTC3uvXfGdjrMlZayp8Hho8Hor9Pl4sgXBk8P22nnpIJoZt47FtsvJ9tC6uaKsihMpaqV1cFd8CCtHLErUJWgKw6HNNYc1NSSP4eGQuy4dl8syB4zh2mp9VFb2zsMApU7ruIw35DIpqbC7+Sy3H/KKKf33Q0iuv19echjCBaBR/NEowEiHr4LYFXfCmeUmfnhm/wgnRByQTlhB9pDkKBy/fxM3PvkXUY/CDs4/n28948SZ7ef7iACft5xzcHx8bICcZlpc5PLsszLZajUdryoJBrv9nI2u3uCsY3PREI0dM8zMye+AOaopGNW++30hVSgo5TU1srbTZfOBIZt3l4/336iidN4o5GckkxbugQvSiRKnx7kwCsOhzuUlw+39fw9/sztX99X/f4Nirv0Q0onl8mb3fAfiFVRG++WyIsO0m1yBgYBsKWynsaPvyQY6G5tDA/m39x3uqsFpTYFgKRRlpPFOQw2+edhiZmUdx/nDYprjvoTArr/O3LWEohBichkwANk1zMvAQkANUAZdZlrUuvqUSOwSUbmtW8jixe4Zidv7+B5G7P44QjnUDb6rWHDfVw7IKzYkTPXxnbgpX31tPTaPmkiOCTBo+sD/yny5tbbsfDviJGG4vUXGtw8imJspzUllf7aG8CUamx6uUQvQuqQHvhmmaXmAxMM+yrNbu9o+ju4E7Lct6xDTNS4B7gGPjXCYBKKXIu+8kKq55lZAyePvaYzh3tp/Dx3r55iH73xw8Kbd9KEPQCw+e42dUZvu2j3+VQ2sEUgID/0s+bbKfz1eEAAjm+to6w3Iam/n6wpVEspKozEsj2zOVIfT7WSS4gd0u1Xe6/QZblhU1TTOTAfw3Mk0zD5gLnBDb9Dhwh2mawyzLqohfycQOaRdOI+3CaQDc1Mvn/tXJATwKNlQ7XHdI5+AL4DEUKb2Qc7o//PDruTzzcgPhiOYLJ6aR/WaY+ifWc9zCNRhAczgJDMUnz5dz5AUj4l1cIXqF1ID37M/Ar0zTvNGyrGhfFmgfjQaKLcuyASzLsk3TLIltbwvApmleDVwNUFBQEI9yij6Q5FP87rShMS925fowT7/aSCisqaxzuOuqbJ753VbqYs8nN7bgjUSpbuydEeRCDAwSgPfkGmAscJ1pmqVA27ffsqzJfVCuPmFZ1r3AvQCXXnrpgK3Ri8T11Iv1hMLuR/Otj5u58LQ0suflUve/bQA4SlGfFODQs/LjWUwhepXUgPfsl31aiv23DRhpmqYnVvv1ACNi20U/2lynKWmEeQX0+SjdhevCrCyKctR0P+Pzh0Z/aFZ6e5+4zwspyQbzb5lDQ12UbZ9UU5+VTrLtULGsnryjc+JYUiF6T6LWhnp01bIs66G+Lsj+sCyr3DTNJcBFwCOxfxdL/2//em6Dw7nPOkQcOGoUvHa+p8+C8BvLQlz793q0hj+/2MzzN2YxKmfgzu/tqWu+lImtobrW5vxT0shM9wAe7IiH8lF5bftVlQzk8ZBC7B2pAXfDNM15wBW4/arbgH9YlvVJXxVsH1wLPGSa5k1ADXBZnMuTcP62RBOJdU68UwSfV4DZR13t760Ko2M/mxtbNYs3RYZEAM5M9/Dj6zrXbKMNERpe2MZHpx2IT8HBpRXMOEpqv2LokBrwHpimeRbuyOL/4k5JGg+8Y5rmxZZl/bfvitdzlmWtBubHuxyJbEJm+/2gF0b04ToIB0/y88h7bi0wyQ+zCodGE3RXVJLBTZccQWFzC2Oq6yhLTyarYJAM6xaiBxypAe/Rz4FzLct6cccG0zRPAX6DG5SF4LYjDbyGw6Y6uH6OYkQfLnp/6pwASdeks6IoyrEzA4zNG7oBuDpk4FNwwpbStm2Ln9/OQWcOj2OphOg9+9IErZTaJfmS1nrdTvv8DLgQsIEI8GOt9Sv7XeBe0tOr1ljg5Z22vYJbKxYCgGSf4k/H9F8z8DEzAxwzc+jXBHOSYGZy59l/jdWR3ewtxOCzj03QdwN3aq0fUUrtLvnSIuAPWutmpdQBwDtKqeFa6wGxMktPV0PaAhy/07bjgK29WxwhxM4MQ/G37+djFLhLMKTn+TnwVJmGJIaOvV2OUCm1I/nSjkrg48BcpdSwTufV+hWtdXPs4VLcCccDZgBFT2vAtwLPmqb5NLAJt0Z8LvDlPiqXEPtkdZnNI5+FmZBjcPk8P0oNjb6lYbk+vv/gAdSVhUgb5scXGPwDzoTYYR+aoEcDxVprG0BrbSuldkm+tJPLgA1a66J9Lmgv6+k0pH/HEnB8GTBxR0GfYFnWh31ZOCH2RkWjw+F3NFLV7DZolTdqfnjs0MiQBeDxGWSPkoUIxdDTVRO0Uqotc2HMvVrre/fl/Eqpo3Arkid0t+9enncy8FfcuJjW8Tmttb+743cbgE3T/LdlWefG7n/FsqwHAAm4Yr+8vtHh3a0Ox48zOHJMT3tAemZNudMWfAE+3DwQs6bum1CzzTtPlNLSaHPY2fnkjho6PyyE6KoGHAu2uwu424CRSilPrPa72+RLSqkFuPkhztRar+m9UgPwIFAEXAo07e3Be6oBH9fh/p+BB/b25EJ09OYmhxMfjaCBX79v8/7lPg4Z1XtBePYID2OzDTZXu5ORT5/u67Vzx9szf9nC8ndrAFi7qI4b/jETr693f8AIES972wSttS5XSi1hp+RLWutOzc9KqXnAE8B5WuvPeqe0ncwEjtJa79OoyD0F4BWmaT4OLAP8pmn+uKudLMv69b68sEg8H2xz2pqabA0fFTm9GoDTg4qPv5nKs8sjTMgxOG7y0AnAZZvbB23WV0VobbRJzZIALBLatcBDSqlOyZeUUi8CN2mtLeAuIAm4p8N4kEu11st6qQyrgTygeF8O3lMAvgS4ETgG8NB127kGJACLHjlhvMGt79lEHDdRx3Hjej+A5KcZXL1g6E1NmnNcDq/+owilNWNnp5GSOXTnPYvEsy/TkLTWXSZf0lqf2uH+vP0pVw88APxbKfVbYPtO5ei2y3a332LLsjbhroKEaZpLLMs6Zj8LKhLcIaMMPr7Cx4dFmqMKFbPy9z4Av74+ys2vh8lOVtx5RoDRmYlRCzRPzuWzZ0qorwhTvqqe4tWNjJqW1v2BQgwCgzgX9J2xf5/eabvGrbjuUU9HQR+4d2USomtzhxvM3ccETk1hzdkPt9IYdh+HoyFeviIxRgVvWlxHfYX7xiMhh6WvVUoAFkPGYM0FrbXerxqAtGOJQaMprNuCL8D2xsH6td17WSOCKEXbAhQ5MgpaDCGDuAa8XyQAi0EjL9Xg+gU+7vgogt8DPzu222l2Q0blA6sZva6MuuwUckcGOPisPlpmSog4GKwBWCmVAnyTrucBn9jd8RKAxaDy1zMCfPcIH6l+RW7K4PzS7oviZ7aSUdtCRm0TbAQnZONJkq+vGBqceBdg3/0TmAo8DzR3s+8u5BssBp2xCTj9JnNODttL3Qx6aVMyJPiKIUUbg/bH9HHAWK117b4c3NP1gD3Aj3BTUeZZlpVhmuZJwDjLsu7elxcWQvScefcC1t+5GrslyoRrp8a7OEL0Kj1o4y/b2I8xZHuzGMPxwA+Bf8S2rcVdD1gCsBB9zJvqY+oPZ8W7GEL0iUFcA/42bpKPruYBl3R3cE/b8r4EnGlZ1n9ob67fjLsqkhBCCLHPtLHrbZDQwBHAJ7i14W24uaF3yUndlZ7WgJOB8p22+YHWHh4vhBBCdEl7Bm0N+B7cBRkeoQ8HYX0GfAW4r8O2LwGL9vYFhRBCiI6cwdsEnQ/8VGu9T/3APQ3A3wPeNk3zQiDZNM3ncOc9SXpKIfqBE7b57MoPqXirlJzD8znowcPxBLvNdCfEoDCImpx39jpwEGDty8E9TUW53DTNabirTawGtgBXWZZVti8vKoTYO9se3UTpM1sBKHuhiK0PrmfctVPiXCohescgHoS1CXhBKfUkUNrxCa11twsV9XgyoWVZFcAf9rp4Qoj9pp3OqQq0nThpOMXQN4inIc0FVuKuCzyzw/YerRTY03nAXa4FDLIesBD9YfSXxrP9+SIq39pOzuF5FF4+kZaI5ssvOXxQojl9guKu4w0MNXivZCJxDdYasNZ6v7phe1oD3nkt4BHAOOB9ZD1gIfqcJ8nLIf89Fq01OxYWv/0Th6fWujXhez7XHDNac8HUwXkh2xuljZo11Zq5+Yr0wNB/v2Lo6mkf8C5R3jTN64FhvV4iIcRu7Qi+jWHN9qbOzdDNkXiUqH99VqY5+gmbhjBMyISFF3vISZIgPNg5g/S/UCkVYTeZsLTW3a4Wsz8JZf8GlAA/349zCCH20rvbNKf/16Y+DCk+aIoF3qIEWJ7xnyscGmJLUm6ohZc3aS6ePkiv3qLNYG2Cxs0Q2dFI4AbggZ4cvD8B+AAYpGtICTGI/XqhQ30sCDV1qPX+/APNd01Nsm/ofi0nZSl2VDgUMDFr6L7XRDJYB2Fprd/ZeZtS6kPgX8Bd3R3f00FYr9G5mp2CO/rrjz0rphCit+Qmdb092Qe+wTufskeuO1BRHzawtmvOnayYP3yQXrlFJ3poDR4sBqb3ZMee1oDf3+lxA/Bjy7J2if5CiL71x6MNGsI2a6s050xSvFUMDWH43VEGvsGb0q9HDKX40fyh/R4T0SDuAz50p00puKsGrurJ8T0dhPWLvSyXEKKPDEsGT8hm9TaH35XA4+f5OXf60MqKtbBU84sPHTIC7g+O4amD9AotemQQ9wHvXDltBD4FrujJwbsNwKZpjujJCSzL6nbJJSFE73hzXYQbn2/mkxINQT8RFLd/FB1SATgU1Zz6b5vq2FIvNa0OL583dN6f2NUg7gPer06fPdWAi9jzQsM7RkPINyOB3fe5wyubHY4erfj6XPko9KWmkObM+xtoDMU2tIYhK5nldbB4u2ZOwSC9iu2kMUJb8AXYWj/0R3cnun3pA1ZKTQYeAnKAKuAyrfW6nfbxAH8BTsaNV7/RWt+387niZU8BeFy/lUIMSi9tdPjqKzYAT6/R5CUrzp86xEcBxVFDSLcH3x0MRW0YrngxykUzPZQ3a6470GBC5uANxjlJiqtmKe5bpjEUfG+efKaGun3sA74buFNr/YhS6hLcpQGP3Wmfi4GJwCTcQL1YKfW61nrzvpZVKXVvT/bTWl/d3T67DcCWZW3Zm0LtiWmaP7Es61ddbP+RZVn/11uvI/rXmurONZO1NVJT6UsF6QbXHhrg7g9jUTilfZ7/5jr44btuvuh/rbZZd6WHpEE8HenvJ3n41lxNmh/GZOz5fdSHNCurYEo2ZAUH73tOZHtbA1ZK5eHOxNmRpfFx4A6l1DCtdUWHXS8A/q61doAKpdQzwPnA7/ajuL79OLaTHs8DNk1zKnA0bvartr+WZVm39ODwHwK7BGDg+4AE4EHqnMkGv1noUNYEOUlw/hSpqfQlrTU/mhgmaiRx3zoPO76GHgXDUqG2zt2vuBFKm2B8ZtyK2itmDuv+olzaqFnwmM2WeshPhg++5BnUtf9EtQ99wKOBYq21DaC1tpVSJbHtHQNwIe7qfTtsje2zz7TWX9mf4zvq6Tzgi4AHgaXA7Ni/BwDvdnPcjoFchmmaw+mcuGMSsHODmhhECtMVy7/i5fMKzaxcRV6KXPj6knXdR1yUMpENw9Pcb66j8QCPnm6wpUG11YDnFUBhelyL2m/+vVazpd69X9YMj67U3HRo589hY1jz/EbNiBTFkaPlMzoQOV3UgJVSVwMdm3Hv1Vr3qPm3Pyk3P+zBuIF9K/CJ1rpHzYE9rQH/BLjUsqwnTdOssSxrnmmaVwBTuzmu40Cuoo5lBmzgZz18fTFA5SYrjhsjF7W+1lLazKrnS9nw7YPbto1KV7x7oYdxsRrfQfluEDpzgsI7eKd17JVxGXt+HLY1Rz1h81ls5fK/HGvwjbnSUjPQdFUDjgXb3QXcbcBIpZQnVvv14C4StG2n/bYCY4BPYo93rhHvF6XUaOA5YBpQDuQBq5RSZ2itt3Z3fE8/iYXAUztt+ydwaTfHjQMm4CbuGN/hNgZIsyzrNz18fSESmi/dT5ZfM7astn1bNEp+snv/vSKNUnDRVEWKPzGCL8AXJhj89ViDU8Yp/u8Ig0tndL6kra+hLfgCPLnGQQw8WqldbnvcX+tyYAlwUWzTRcDinfp/wY1bX1VKGUqpYcBZwNO9WPQ/4wb3bK31aNyBXgtxR153q6c14FogI/ZvmWma03CHfafs6aAOA7kye/g6QogueFO8zLp1Dmffs5o/HXUgaNjUHOH2F0LUe33ctsYdkPWVmYp/nJxY08Gun2tw/dyunxudDnnJUN7sPj4oP3F+nAwm+5iK8lrgIaXUTUANcBmAUupF4CattQU8DMwHdkxPukVrvWn/S9zmcGCM1roFQGvdqJS6Adjck4N7GoBfB87GXeHhydjjCPBST0u5n4O4hEh46/+xjvRKxXf++wnFWSmUjMrA//sScoGjZo7jnUmjeGiF5r6TNH//XHPHYodJWYr7TjLITtAl+9L8incu8HD35w4jUhU3HJSYf4eBbl8ScWitV+MG1523n9rhvg1ctz9l60YrbuW0pcO2DCDck4N7moqyY1qtnwOrgXTcSdDd2tdBXEKIdnZdmEPW1Lb9el16yGgcYGlOJsO318LEkUzNUayphutec9DA8kpNXrLD3ScmVq24o6k5ituPTdz3L/rUf4H/KqV+glvrHQvcCvy7Jwf3dBR0oWVZWwEsy9LAY3tZyH0dxCWEiJlw8QQ2LP607XFyOMr908azODcbgInhJl46N4Oihs4p7DpmlUp0Sys0f/nMYXgK/Hi+MajnSg8lgzgX9I3A7cALQAB3Zs8/gR/15OCeNkFvNE3zLeB+4L+WZe3t9KHdDeLaBvxgL88lREIae/Vklt+8DF9zhPrUIFS1sDKzfdjv1hpNYbpiVJrmvMmKp9dqcpPgR/Nl1C9AQ1hz7JM2VbHGwvJmh3sSuGVgIBmsyxHG+n6vUUpdi9u9WtHTKUjQ81HQk4APcZNmlJqmeZdpmuZelLMWt10c2gdxZdPNIC4hRLuqV0tJagzjdTTZ9S1syxvGlPKatucXjHN/TxtK8dSZHkqv87DtWg9zZOARAKWNtAVfgGWVkrltoNCG2uU2GCilDlNKjdeucq21VkqN72KZwi71KABblrXJsqyfW5Y1DjeNVyrwlmman/ewnDsGcUH7IK5FwMs9PF6IhBet7TyuIykSxcnPoKC5lXyvw4MXJtMQ0mypcdBaU5CqCHoHx4WsP4zPhCNGtT/+8gxpGRgwlNr1Njjc08U2tZvtu+hxKsoO3sYdgDUaOLInB+xhENeD+/D6QiSkvPMLafj+YtJqWqhOT+bzqSMpyUohUN2CatW8tCrCjW/a1Ifg/JkenrgwgBo8F7I+5zUUr53n4fUtmoIUxUG9sHrUxlrNu0UaM1/1KHWm6NpgqfF2oVBrvbHjBq31BqXUmJ4cvDe5oGcDXwG+RHtH81f3sP+Pe3Da7wC/7mkZdvM6dwLHxcrUCHzLsixrf84pxED06aPbaLVt/naGSWtqEgE7SsjWBICcVMUzazX1sdEZTy23+WGJw0Ej3T7O0kbNou2aA4epbhc3GCi21Wm++UqU2lbNzUd5OWrM/tdYA17FFyb0zvtfX6MxH7GpC4HfA29f4GHBiMHxtx1oBmsfMO4CD4Uds17Fgm91Tw7u6SjoxcAU4H+4k51fsyyru5QyJ3TzPLiDNfcrAOPORf62ZVkR0zRPA57Azb4lxJDia4nw65NNVhW4o56Djs0TZ3vZUpXM6QcGuPW9KOB+LQ0DHl2h+WS7zYkTFPMfdahsgVQfvH+RhwPyBtYFb3215rtvRAnb8OujPcwpMLjy+QivbXT7ac94IkLZd/y7bVJfUak56xmbokb4yXyDny7o++bl17do6mI/eMI2PL/BYcEIGdS1L7QatN0B/wUeVkpdg5vsYxJwF/Cfnhzc0xrw34HHLMuq7WmpLMs6pqf77g/Lsp7v8PAjYJRpmkYPfiAIMagcePVEalaXYWiNV0PI8HDCzABJsdSTvz3ZoCGk2VCtKQp7+NMn7lfg6HEGlbHBR40R+PdahwPyBlaguOjZKFapG2yXlkcp/qafkob25+tD0BiG4G6uWD9812F9rXv/Zx84XDRN9fmqSAflKzwK7NhYroOHD6wfNYPJIG6C/jnwD2Al7bP/nqaH6xz0NBHHXftUtP53PfCCBF8xFHmSvXzn1Az++UozpUEf2SmKjh90j6P5ycEGnhQPs/4ehagNhsHi7aAw2q4Os7roq2wMa5ZVwqRMd4GN/lZU3z4ieXsTRB3NTw73cNmzUaIOfN009liunZ/pj/rUvOGKl88zeGmj5tCRijMnDtpaXNwN1iZorXUTcIFS6nrcJBybd85HrZQapbUu6ur4fRmE1a9M0/wMdx5xV/Ity7Jj+12I2z+924Fhpmm2LW9VUFDQyyUVou+tWxNiZVoQRymqInDhDZv4QXQ7w66eztf/FaauSZOd7cEb8RG13WPqlJ8ReQYnjlEcPkrtsm5zVYu7pu66GsgKwrsXePp9QNGPDvXw7ddsNPDDBQZeQ3HRTA/HjjVoDMOE7D2X53dHGWyssylqcBNsjOunNYGPH2NwfI+G2+xeTavmVx87tEThB/OMQdNH36sG+VuOBd2dF4LYYSXuoONdDPgAbFnWbtKstzNN82zgV8BxlmWV7W4/y7Lalre69NJLZRLgXtBas70JsoPuQBYRH1u10Wnt1K2NsO3NIjYtq6fuwDkAbKzTRAMdDoo4lDbCvSca+Dy7/t+9sFGzLjaduKYVbv/U5r6T+/bSoLWmPgwZAbc835zn4czJBmEbJnUItvmpivwenG9qjmLFVwb85axLX3re4eXN7uXotS02a68cnO9jfwzWGnAP7fbNDfo2k9jAqz8CJ1mWtTnOxRmSbEdz5jMOI+62GXOvzfIK+e0SL6ujHnAc0BqP7XD8Wnfwpbe8qW2foKPxd+zi9RlcNE11GXwBRqR2fvxOl41lvaeyWXPAQzaZf7U54vEozRH38zQmQ3UKvomiY0KQdTXQGk2879dgTcTRQ7v9D+32p5ZpmhOBWcDnlmVt7G7/OHgAd+WJpzsk5zrOsqyq+BWpF2ytgFuedCek33wBjMyJW1He3qZ5boP7GSprht994vDQqQNrEE8iaGi2Ka22cX9Qaw7dVMRBReUAZNphvnZ6Css2RZg70Ucgw8u7xQ7BoIcTpvk4YezuL2hNkc7Xh8ZIH74J4O7P3f5mgPeL4bFVmqtmD6kL7l65bIbi/xa6/wfnT07M5ClDvAa8W3sMwKZpnoM7rccDhE3TPMeyrBf7pWQ9ZFnWsHiXoU+c/mtYGltO+fPNsOi3cStKdrDzlyM7KU4FSXCP/HUrYbLaHr83YTQHllQzpayaj/OyOb+ymumH53HL3dVEonDoAUF+fl0WRje1iZpWN6DvcEgfD49o2amGV9mSeDW+jn59hIeTxmqaI5qTxiVmIJIA3LWfAj/Gndd0fez+gArAQ9bq4vb7q/q4TbAbc/IVfz7W4O9LHaZlK24+dND3XAxK2dvrwchsT9NnGHw+djh3HTYb2zC4YxlM3xahIOrWkT/8vJWt26OMHeFrO8f9i8K8tDrCkeO9fPNwt6P4zImKadmwqhpyk+A3R/Vt60bOTj/gWqJ9+nKDwlGjFYN+JNJ+GOIBeJ/7gMcBf7Asqwm3n3Vib5ZK7ME1J3Z9P06+Oddg2eVenjzD0zZwRvSvky4dxYWrt+LXoAyD4eEINQEPtuF+jTWwosWgONUNrM1BD59WQDQ2UfWVNRGueqqFfy+L8q1nW/nXEje3dFZQ8emlHhZf5mHdlR6m9HE/7LwCo9MVyeyFlJBicNNK7XIbQh7Z3RPd1YA9O+bUxjJN+Xu1WGL3/nIVXHg4GAoOmRLv0ogBIHNuDnfcEST7rzWUVGq+/sabPFk4ngO2VLJsRA6fjxwGCspGpDI87OHDZj8fPhXh1M9tnr80wNqKztPjOz5O8ikOzHPvv3P7Gpb+t5jsMcmc8bsDScsP9ur7OGKU4tmzDV7ZpDlylOL0CdKiIgYfpVQQd037dbH5wB2fO0xr/QGA1vq63Z2juwDs3ymnc3DnHM+WZe1vKkmxO4dOjXcJxACTMy6F3//cx7ZPa2l9uJqTm/wo4KxlG7jpgiNZOSyPGhTr/QFodmu+L651KGuE5KhDqhcao5CdrLjgAN8u5y9ZVsvif20DoGJtIx/ft5ETfjK919/H6RMMTpeEsSJmsNV4lVIzgVeBAqBJKfUdrfXfO+zyEruZ+9tRdwH4YzrndF640+PeyOUshOih0LZG1h7xDOEtjTSmZ7U15RrA5LIaVo5zZ816AgbgZuIoSAVrbYjfP93IcCDkUfz9sjSmdJGOUlZPEvEw2AIwcBtuCspbgeOBfyil0rXWf4g936M3tMcAbFnW0ftTQiFE76r8x2rCWxoB8DeFISsAGkIegyXj2ocvf3uBl20VivWbQ4xfUcY79zj4vBlgGCTbmorqrrO1Dp+ZwdyLCln2TDFZhckcctX4fnlfIrENwnm/84CztNYR4AWl1BHAm0qpFq11j1M371PKFdM0FXAqcI1lWWfsyzlENzaXw7V3Q00T3HoRnHhgvEskBgBffvsQYr/tMKtuBa9OmU3uL46hMJxJ2XY4c4Li+rkGjdU2t96zEY+jUcDkNHhleB62V7EluvsL3pHfmsyR35rcD+9GCNcgrAF7Y7cIgNZ6rVLqROAtpVSIPSTf2PkkPWaa5gjgKuBKYDjw5N4cL/bClXfCm8vc++f8FsofgOTAno8RQ17umaNouqGW5lYvmVQzIlLENcu38XDjYbxzWfvXORLR/PKuatbmZOOzbcbU1rMmPZVGn9vs/NM3Ipw9y8e0AbAqUmtEE/QNuguw6EWDMACvAg4F3tixQWu9Uil1CvA6kNyTk/QkE5YCTgGuif1bCWQCB1mWtWyviy16pqK+/X5TKzSHJAAL9KrtDG/dypbcbP684Axsw8OXF77A1JGdRxIv+ryFNVvclFYRj4fqpCBktE9i0BpqWvq16LvY3uBwwoOtLC/TnD7Vw78vCuw2XaYY2voiACulknEzJR4ERIHvaa2f72K/M4GbgABu3+0/OvTl7s7dwGQ6BGAArfVnSqnTcfuGu9VdJqyf4dZ2R+Am4DgXd3TXNmC3ix6IXnDzBfClP0EoAt89A3K7HVAnEoBxwEgYnsElZ17DktxsUqIOW3KH8ad5BRz2WISiOrjpUIPZO83VHnNgOtddkMFpj4SobNKcP8vLgsL4Tv/504dRlpe5LXXPrbZ5ZpXN+TMTbyEC0Wc14O8B9VrriUqpScB7SqmJWuvGnfbbDpyutS5RSmUAnyqlFmmt39ttebV+eA/PfQAc25MCdvdp/wVQBZzVMQVlh5zLoq+ccwhs/4db+41jHmgxsKicVNa8+AOs/7pzc+v8BlZ2Bsc9GWVdmQMarnrO4TrTy5rcVEbUt1IX9HLkkVnMH+ul6EYvtS2a/LTeCb5VlREWftxI7jAfB89P7f6ADpJ2uvok7zorSiSIPgrAFwBfBtBar1NKWbituE91em2tF3a4X6eUWgWMAXYbgDtSSqUCXwBG41ZOX+giyHepuwB8Ke76uc+ZprkUd9j1o/Swg1nsp8wU9yZER2mdE2OMGu1nYQ2dvpVPrtRUDUsjPRTimE0lVN9ZTlHuOEZNSiY/rXcudk1NNrf+opjaGne6U1VVlFNOzezx8d893MfiUger2OH8mR6+MEVqv4mqjwJwIbClw+OtuEFyt5RSU4FDcLtcu6WUmgG8hjvnbzMwFviTUupErfXy7o7f489gy7IetSzrKGAm8Dbwc6AYyAWkGixEHGT/4RVO3LCMpEiIGeXbOOPf/yYa7TytqLZZM9Ub5tiN2/E5Gqc+wvP3F+/mjPumtDTSFnwBVq3Yu07ltIDi2UuCFP8wmdu/IOMbEplWu96UUlcrpawOt6s7HqOU+kwpVbmb216PLlRKDQeeBb6mtS7p4WG3A/cAhVrrI3CD/t+AP/fk4B795LQsaxVwg2maNwJfBL4KPG+apmVZ1sE9LKgQohf8JDCZR//zG3Jb3FauqDK48ejz0H6PWwt2wNawpUajac8I0NuVjBEjfGRleaiJBeHpM3ZdJqs1qrn3c4eIDVcfYJDWoW+6ulnzjedDbK3TfOcwH2dPlxpwouqqBqy1vhe4d7fHaD13T+dUSm3FbUquiG0qBN7azb55uKOXf6u1fqqrfXZjLnCq1lrHyqSVUr8Bvt2Tg/fqE29ZVgh4GHjYNM3puM3TQoh+4tgOLbUeStJy2wLw4zMWoDUQdtzc4ShOmqB4ZZOX18YUcGRROd4UL6d/dWS357cdjaeHSRGSkz389OZRLPq4kexcL/O76AP+0nM2/10XG2i1QfP2Re2XnO+8FOaxpW7wXlQUYuN3DUamS17oRNRHTdBP4TYlW7FBWPOAi3beSSmVg9uMfIfW+v69fI1a3GbndR22jQXqu9h3F/v8k9OyrJX0MMoLIXpH7fJa5q4q5u0JJ1Ke8ikNPh9XnX61W/PVmqPHKP58qo/Z+QaT7gyxRGexJC+LCVnwh/G7b+Z1tOayFx0eW6WZkQsvn+thZA/6ilWyh5srUlm0VHPqlij/OcdDoMOC8m9va++Yfq9I42iNEbvYltS3N5uHbahqhpEy2D8hOX0TgH8HPKiUWo/bR3u11roBQCl1C1Citb4buBF3StE1Sqkdfb9/1lo/0IPXeAg3E9ZvaO8D/gHwYE8K2N00pHV0M+DKsixJmSNEPwnkBhlR00BxQRYvTj6J+qQgGVGbCq/b5eU4MDvfrUWGOqyzu6XSZvMHFeSMTiKtcNea6qubNY+ucr/qyyvhtkUOfzmu+260Oz51WFQaW/Rhg+aJVZrLZrVfTE8ep3g8dt4Txqq24Avw/SP8fLC1leYInDPdw6x8mQOcqHQfrIUcW6Ho/N08d1OH+98Hvr+PL/Mr3GxYP6R9FPSDuMG/W93VgH/Z4b4C7gS+ttdFFEL0ipSRyRz3Z5Pb/l5NeZpbXTyyvJbnRubi+Ay+cYiX/33UwvrSKCcN93FfvcJjO/z6nYW89c9qDJ/imDsPofD4EZ3O69up5dffgyEsoW2N1N63Caa0r9oV2Om4h071cPwYTcTRfHlm5xc5YaKHrd9PpqpZMylHyUIQCWwQZsICQGttA/+nlLoDd/WjHRXWPKDbgVzdLcbwUMfHpmn+cedtQoj+NerkkVT9OwIR8DgOXg1nrd3CLXdM5fM1IX7+hNs3bKgWjnJsphgt5G6pBsCJaNY8vmmXAHzcGIMbDtI8vFIze5jiR/O774vd+sOFnP70ZqwLklhemMfpM32cP63zJcXnUVwxe/cX15xkRU7y4Lz4it4zWAOwUmoBbo13YsfNuIG425+xMuxQiEFovNFMUdhHWiSKAlRLmKriMMs3t7c7OxoiDmxrMpjvNVCxqUrpY7tOmPHHYzz88Ziel8FpjpIUifLbR9xsfLM+Pw9D7ToSureFo5r7Po3SHIGvml4ygoPz4i3aDdYAjDsF6QXgPqBpbw+WACzEIBOKaPLDLbQ2RAgH3fzOOimIRlM42guLAA0aTSASZVRLK8sOmMSRmc2MGh9kzg0zOp3P0Zo/WprllZovTVOcOLZnI5FH3WLSuKicSGkz+dfPIGV2/2Rsu+K/YR6NjZ5+crnNomuD3RwhRJ8ZB3x3xzSkvSUBWIhB5g9PNfA/33COipTCjgDsVRz5tI2jFL6UIJMbW1EoptQ3kBJ1g9VKlc7ZP5q6y/n+aGm+/45bO35slWbZ5Yop2d3XSFJm5zC3+BJ0yMYI9t+l5O3N7aOnPyl2aA5rkv2DtgYlcBNvDFILgSnA6n05eG9HQaebprm24z4yClqI/rV4bYi8ukZmrNrEljHDsb0e7p0zCcdwa64Rr0F5ko/81gh+uz1Y1ddEuzzfp9vb94k4sLZG9ygAAyilUP0YfAFOmmjwj8/cHxWHFRoSfIeAPpqG1B/eAP6nlLobd1GHNlrrx7o7eG9GQQshBoAJGbCtpRV/xGbS+iIAKudP77RPQ7IPw1B8OCKHBSVV+LQmZZifl/5TxXGnZeH3u8G6Nar5oMNYzewgHDFyYF8M7z3TzxFjbJojmi/PkUa8oWAQ9wHvSEb1jZ22a2D/ArCMeBZi4LnytDR+vriOpoCPlFCEJr+X1NYwNSlJ7kK/PoOIUpSl+ShLS6IqGOCUonKaqzT/e6KSiu1hLvvacAA21cG2hvZzT8yEzG4GNWnHQf/hFVhRgrrkENTxM/a4f2/zGIrL50rgHUoGawDWWo/bn+O7a4L2AsqyrEiHbZcDBwLvWpb1n/15cSHE3ps0Kcgvfzycl7+4mq35mfzhWJMmwwNeBT4vOBq7Q2KDpvxknG3tj7dsbG27PybdvW2JJc47ergmtKEOnR3k3V8tp3ZLEzMvGMP088a0HaP/8Ar6B266XP34Qozlt6Im5QPQ2OTw+3ur2FIc4ZgFyVx2bmYf/iXEUDGIm6D3S3fDHZ8AvrLjgWmaP8VNjn048Khpmlf1YdmEELsxfmoKI+blkGxH3YuXoSCqoSXK9+cZnDSh/YI2J9qM125ftWjuIWlt95N9ivcv8nDLYQZ3TW/mwgseZsXER1lmPs3Gl0uoWlPPO7cuo3pDh2ry8g6rKoWjsLa96+vJ5+v5bHkrVTU2T7/YwPI17cFeiN3pajWkRNBdO45J57btbwBXWZb1T9M0zwV+jDv/SQjRz06762CmvVrKdN3KS54MMgOKS2YbTM/zEIpqnl7lkOyD5bcW0xyKEvF4UFpz8tmdpwuNSlP8bIFi81csqqvcgOnZWEf6WD91aUmgobUmzIrvfULFm6XkjBtFduYwXpp8GHbAz8n3fsSYNVvghtMJRzrPxgiFZelw0b2+SEU5GHQXgLMsyyoBME1zGpABPBl77hn2sFSUEKLv1FRF+PvtpZRvj3DMyUncdYa/0/MBr+LiWW4inqYZKaz8qA6/bTNyQpCt75WTPyuT5JzOizP48jsn0TCyAhCFccfmY6+uZfPf1rjnWwOvH3E6Ncqdf/uvhiR++N0/Q2YK55xxFEtWtlJSFuUwM4k5M/Z+jm5jWLOpzu2PTvIl5oU50SRqE3R3AbjJNM1Uy7IacWvDyy3L2tGmpHpwvBCiDzz7RBUb17lfxeeequIAM5VRY7pe7eiC745l4UuV1JW0sO3h1bz01kaSsv2c9/jhpBW0B92Cn5lEy1toWVlDzuVTmH35NFrrwqTkBduCL8DwaAUrQoUQi60tvqDb5/zKEvKuOI67fz2ccETj34fguaVOc/ijUYoaYHI2fHCxl1xJVdlrXtrocNlLDlEH7j3R4PwpA2P5x8E6CGt/dffXfw+41TTNqbjrKr7c4bkpQGlfFUwI0bVw2OGt9TYbU5Ko9bm/ge2o5qPNUZYU7zrX1xcwOPysPHLsFpxm9/mW6jBb3yunvEnzcYmmOaLxpPgY849jmfrxuQy7dibeoIfU/CSUUoz60njSfC0ADI+Wc8S6JRiOA1pz7Nr38KBZ+EEzv7+/DGCfgi/AQ8sdimLdzWur4cnVzp4PEHvl6tccKlugNgRXvuKwjwmcep1WapdbIuiuBvtD4EXgW8By4I8dnrsYeL+PyiWE2I2f/rWKFa1eCECN38eXpiputWzuX+gGyF+dGuTHx++akzlnYvvgKxQUDcvg0Ptt6sMwMxc+uMhDeqDrC58v08+hR7XS8r8leIDZxc1MLtuGozS5kc0A/OuAg0h/aDVlXxxGftq+1axGpnZ+/VE9WJNY9Jza6f5AWYHKGRjF6HfdzQPeBEwzTTPbsqzqnZ7+LRDus5IJIbq0scxmx6VUK0X25GTuf639q3jbG638+PgkFhY7rKjQnDTeYGS6YtIpI4k022xfUsOYI/P4QySN+nD7GsCvbtacN2X3V0J1z5dptW7HV1JJxJ/MswfN4q3CUcws38wno8bz36kHM2dbGd/a8xLie3TFbMXmOoN3izSnjlecMWlgNJEOFfefZHD5yw4R222CHigSpca7sx714XYRfLEsq7bXSyOE6NZJ84Lc82YrKIXf0Jx4cBK5HzZS2eQGvvoQXPdEE/eu8+JoKEiFz6/2k5eimH5uIdPPLQRg3CKHHZlmFTA2Y88XweqPqllRMgoYxdsHTOLtAyeyOjeVx+YsANs9T01qElteK2PYOSP2eK7dUUpx65E9WIxY7JMTxhoUXztwAu8OjoyCFkIMBl89P5NJY5v5+MN6JtbUUPVOhCvm5/DbN0NuJizgrQ+bIDsdDMX2Rnh5XZT1pVGSfPDNI4KkBBQ3mIrakGJJOVw0TWEWxGrVsXPs3DzpMdr7Y9eOzSc5YjO3tI4VOTZb05NJCUf4wtptvP5pE1OOyCFtWNeDwoTYmdSAhRCDxoz0KMsfXUqprSl9Dk69cSZ3E4RYjPSEHfyOQ6vhIdkHv321hRXb3WQcn2yz+c9XUvEail8d0bm2WfzsVj775kIA5v51PiPPKGx7Lv3x1xnNdirIYWxVBUsy3OxY82ob+F7NVhrW1reN6nScgTG4RwwOidoHPPDaIoQQ3ara0Ii224Oc2lxPXiA2sAYo8Xu54wwf31/g4dUveduCL8BHm7teFQlg8Xc/IdoUJdoUZcn3Pun85KZKCiniID7nx+88ytS0KBmtIXJrmthQ7yEpL4DhVRx55Rgy8mWNXtFzjlK73BKB1ICFGIRGz8shOcdPc1UYj99gwvEF5L2qqGh2A61HKZpWN/KzszJISzE4eaqXl1e7gfesWb7dntfoMH3I8HWuHTvXH8fDdxZREcgkK81AbW0kT8PC3EzWZqXRkhbgwbO8HDpDLitC9IR8U4QYhFKGBbjwsUMpXVJD9oRUsselcsSiGjYVOdjAmEiUF992qKt3+Nl1OTxzRSpPfx4m6FWcM3v3Afiguxaw+IZFKKWY86d5nZ57ddg0mu1aTv5kBf886RhwwANMqG+m0h+gwdb84I0kLpAALPaS9AELIQaVlNwAE48vaHu8ZW0rs1s7J674aGmIW/5Zx40XpXPxQd0Piso/ZjgnLzmzy+dq62wOX7HGvVh2uGDuuBeIRMnoZilDIboifcBCiEFt6nj/LtsaHcWLH7fy5NvNbds+XtnKvXeU8PSD22ms331/8M6OPyaVxowU0ptbmL9iDYbtENWalRmpAJy0eCMPHWV3cxYhdqVRu9z2l1IqWSn1hFJqvVJqtVLqtG72DyqlViilrP1+8R6SGrAQQ8QPr8rimdebCEUc6kPw+NstbYNZnlvUyiUnpHDDsy2UPVFEdtQNvCVbQnzz52P2dFpoaoXkAAV5PrK+mUf47jWckBHgxM3b2Lq8hdHjDiS1NcKU4ioybiiBF8/q43cqhpo+GnT1PaBeaz1RKTUJeE8pNVFr3bib/X8FfAwc0BeF6YoEYCGGiGDA4MIvuOkmW8OaR95rRTlgAytLo1z2QD2PLI1yXbS91luyNdTlufTiLdASRt39Ijz8DozOhW+fRuDHD+JDsTiSStXRh5C1aTGztlTgsd2mb6Okps/fpxh6+igAXwB8GUBrvS5Wsz0FeGrnHZVSRwCTcNMtSwAWQuy7oF8xaYKfz9ZH8No2E1vChN9u4RivhzVJSUxtcfNGzz86Y5djnV8+h/7ZM0AUD7GVEbZVwgNvAmCNmMOHow+BjaCmzeEL697A50TY5B1P7tXz++kdiqGkj/qAC4EtHR5vBUbvvJNSKgW4HTgDNwj3GwnAQgxB1S2aMbNTSS4rJWl1DWUZbqAdFrXZ5PWwoTCdn5yfweHzU3c5Vt/1VpfnDGekg/JRlZTdvq8y8DmaMXXleNI13qMu6ps3JIa0rlJRKqWuBq7usOlerfW9HZ7/DDfIdiV/L17+d8CdWuviWFN1v5EALMQQdMqTNotK4aZFW2lMTu703CE1dWQ1ORw+f2TXB08pgNI6wEuLLwPbr9k67gA+3zoCRkynsHEr5LhJQNJbGxjWVAWAx7Ep+tJLTPz8kr58a2II6moaUizY3rvr3m3Pz93TOZVSW4ExQEVsUyHQ1a/Lw4FTlVI34a5ynaWUWqq1nt2z0u87GQUtxBASiWgee7aOT0pjfbIaCmrryalvwB+NktnSQlI0SrQ+zHv/2LzL8U5DCP37i1BXHcG64eN5Ytrp3DfzEhbXj0JrhVYGpZ4RTC1egzcUodmTzFOTT6E8OZPnJhyOXd5M0cYWtqxr3uXcQuyOo3a99YKncNexJ1aznUfnNe0B0FrP1lqP1VqPBS4ElvVH8AUJwEIMKQ88Vcu//ldPXmOIaRV1OH4/WinGVlZx+dFe8usaCIZCpDS3sP7Dzouchd/eSM2I31Br3k1jKIXXJi2gNikdAO1pvyJ6gh5anDQw3MtHQyCV2w67jILtYVZ++VB+//2N/OnGTTz995L+e+NiUOujVJS/AzKVUuuB54GrtdYNAEqpW5RS1/bGi+yPIROATdM82jRN2zTN6+NdFiHiZUtRBACztJY522uI+nzUZaRTm5GBnRokLctLIBRGASNnpHc6tuVXb+M0hgnhY+Hr1Tw3eypPHTCDTfnZTLlmCslESYqEGdncTFgndTr23OKPOHXp2Vhl7b1aH7xag2PLogyiew5ql9v+0lo3aa3P11pP1FpP0Vo/2+G5m7TWd3dxzNtaa3O/X7yHhkQfsGmaacBtwEvxLosQ8XT0gmSWrw1haAiOSKK5pYXksA1JXp7/TzXoIHXDU1k6LIN5x3QeAW0MS6GGDJpJ5m9HHEO97QEPfDJyBF/YsoUVU8Ziezw0Fm/n0MPT2f7SEjYljSa7uYHZRcvw+mHYcD9N9e4I65w8P4YnQVMcib1iJ+jHZEgEYNy5W78D9pjpRIih7oQjUhk32s8Vb2ieqzAgO48zkls4qrSKxvWtAGREohghh1/9u4njDmxftSjplyfS/PijACjdXnPVGj7eSFuT86aRBRx1cDrTnmlm0talADSrEXjqbC7/7mhe/Fc5dlRz8vnD+uldDx7LKjSPrXKYkq24fOaQaYDcb4my+tHOBv0nwDTNU4AMy7KejndZhBgIJo71815F7KutFP9rSaYgxyC9oZFgKEREKUIeA59X4ZTW0/rVJ2i57DGUHcGb7zYtX/zupwyrbyApHOaAsgqMDuv7Ggqyz54Io3Latjkanj3sRRZ/dyEXXjOcS781imEjus89nUhKGzVH/MvmN4s0X3nZ4U+W0/1BCaKPBmENeAO+Bmya5p7mek0BfgOc0MNztc0rKygo6GZvIQYvj4Id3a8BHGpe2kROs40Gtk8vZES+j19fkkbrBfdgv7cRAPvDTRhnHULyPZ8xq2wb9z26isWF41heOI5RRw0n0BLC2VDNjGumkprlI3LnF6g48gFU2KaOVJJDEUreLKX03TJGHjs8fm9+gFpZpanrkHjswxLNDfErzoDSG32+g9GAD8CWZe12rpdpmocDw4FFpmkC5AKnm6aZbVnWLV2cq21e2aWXXiqjQ8SQ9dAXPHz9NRsF/DqnllBsnWAFfGWG5ujvusk0GteUtx2jN1VTPHMME4Ifkd7aQlVKkK3pOSQ1tGK8spwZa4oxGsJ4P11DdNEleJeuoSyc3XbpLKhppCEpiC9twF9W4mJuvmJ0GmyLJRc7Y0JiBp2u2AnaBD2ovymWZb0P5O14bJrmg+5m6464FUqIAeDimQYXx/oYa7am8ug/DKKxpQpHzc1q28/3tcMI3/yKe/+q+cw8fRT3vX0Kx33yOo0kEfG4KyxVRFKoxyYTiBY10PziRtKq6tEKVOynrGPA8vxsDquL9Nv7HEyygoqFF3t4YaNmcpbiyNGJGXREu0EdgIUQ3csqTOGL985j8weV5E1NY+yC3LbnAj8/Ce9p0yEUxXPoOIYDN3w1SOq/F7Iov0Pjk9YEIlEaCVKtUin74wYOuNskNe2fVNYPQwMVwSA+7cjUoz0Ynqq4arYE3p0lSp/vzoZUALYs6/J4l0GIgShvchp5k9N22e44mje3BCne1MpcTz2z56eTGnWnER1UvoSwx09Vai6TD81g2MwJfPZkE9qByOoGlt+4HDs0Ane9JRjWEOKYMQZjjx/Rn29NDAF2gvYBD/pR0EKIniuudSipax99++6L1bzwaDlLPqznwd9vo3hzK5x4IJxwAB7tcDhrOeO+BUx65UNSHnsV3aF22/BROToU7XB2RWVKOvf9cC0bP2/ovzclBj1b7XpLBBKAhUgQv3uzlRO+X8KV12/iV39zB1+VF7cPy3UcqCwNg88LPz0PvnsmPPQN9LZ6KK3Dh80EvdmdGKw1QR3Bg2ZHSI4k+/m80mDrqiYevXUD0YhMsxE900epKAe8IdUELYTYvUefrOSE6joMral5tZkVZpB5R2VivVNLOKQZNtzP+JGKumPuIv3tN1Bo+NNzqPu/CV4Dog5j2YahoYyC9kZDryL99LG8nT4MKtzm6FCLQyTk4PXJb3zRPRkFLYQYsmqro8yrbSLs9boDqqJR3l/YxDXXD+dHf55IeUmYMZOSaPnWixhvr3CDL7jV4i2l1KcOw66N0EoSTWTgyw8SLWsFQzPplil8VhoksLCEbMNPdVYmh5+bT1KqXF5Ez0S732VIkm+IEAlg47oWvDvaipUi7PGQPTkFgKxhfrKGudONmiqbsUmhnkIUEDSq8Kak0lTroS42408BrY2aAjYxwVmL+vGrFOTOYvPweSTRwjlfG8/cS0f1/5sUg1ai1oClfUiIBDB6bACfv/0iZ0xN5+zjdh0VnXbjYfhwAA8aD6254+CUA8kw6lC4fbqeDC/NzTCWDW3N0DOrVradI5gklxWxd6Jq11sikBqwEAlgWL6f7/6ikCWLGhhZGMA8NL3L/fzzR9GaEYC61tgGL2rGSNL+eznj7/6IcHY2Sb87jbrz3qX5wxTSqQegOTMb5VGMPnQYk0+X2q/YO9EEnYYkAViIBDFmfJAx44N73MfZWEng8oMIP7IY/F6S7r8AAHXGHJLOmMOOVYDN105gy1eh9T+vErbhlcnHEyrMZ/wF4/AGPH38TsRQE0nM+CsBWAjhclZvJ3zwb6GhFV+SD/9r38OYM7rLfUvuWEXRY9uB2Xw2fxxNaUlQE+XZ29YzeUEWHhn9LPZCJEH7gCUAC5HAoi1RPv7bOqo2NTE6XMP0hljTc0sE54Xluw3ADZ9UAmBgc+DiTdRnJLNyxmhsw4OWTJRiLyVq9nAJwEIkqJaqEE+c+w4NjW7E3AokZw5nbG0pAM7Mke37LiwltLyKlBPH4BudxrBzx1L19EZ3qFY4yrCKesYUVTLlj/Px+g3eXB7i0fdaGZ1j8IMzU0kOJGYNR/RMs9SAhRCJZMNLxTRXhSHga9tWG0xBYRNVHlb+t4y5Z0HD/zZQdPZz4Gg8ecmMW3IxeReOJ7Spjm0//qTt2AVn5jPu9AJKqm2+fn89kdjkTo+h+Nl5qf387sRg0pKY8VemIQmRqFILgniiNjhuDdgTsUmvasGDTUCHSXpnGQCNz21s28cub6blQ7eGPPJ7B5B5qttEnTQtk5HfmQVAWZ3TFnwBtlXZ/fWWxCAVRu1ySwQSgIVIUGOOHc6w0Umk1DaSVtnA5JXbiUTaR0knz3enEwXnF7RtU0leggcMo3VbI2uveh+VlcwBy85jzsov4h/hJvaYWejlkElurTrgg0uPTEKIPVJd3BKANEELkaA2v1JM7YYGUArHA42pftJyc2hNn0B0zjgK/34+AFlXzcJI8hJaWknauZPwT8zks4P/1zYQq/HTSuatOrftvD6P4oGvZ7C6OEpehkF+hkxLEqIrEoCFSFAdlxYEqMxLw/jSZOb/fNou+2ZcPA0ubn/csq6+/f76erTWqA4DaXwexaxCH0L0SB8MwlJKJQMPAAfhppv+ntb6+d3seyDwFyA3tum7WuuXer1QO5EmaCESTGhNNaF1NYw9eSRjTx4JBjgpfpKOGsXR140DwNlchfN50W7PMeIb09vvf31ap+ArxADxPaBeaz0ROB24Tym1y2hApVQK8B/gB1rr6cBsYFF/FFBqwEIkkPKff0TFLQsByPv1oRx75yG71F6jD35M5MpH3VHPlx2M/6HLdjnPuFvmknv2GLA1aWbuLs8LsVf65gfcBcCXAbTW65RSFnAK8NRO+30JeF9r/XFs3yhQ1RcF2pnUgIVIIJW3Wbvc37n2Gv3DG+2jnv+5CF3e0OW50ubkSPAVvaNvBmEVAls6PN4KdJVZZjoQUUq9qJRaopS6XymV1Ssl6IYEYCESiG90+wpIvsLOCzLoumb02X9GbSxr35iVDOl7zh+tHc3Wd8so+rC8V8sqEsmuEVgpdbVSyupwu7rTEUp9ppSq3M1tb0b+eYDjgCuBuUAD8IfeeV97Jk3QQiSQwv+dQdmN74NHkX/b4Z2f/NX/4JlP8aGIEIAFk/H98VxUcM+Dqd688TPWP+f2F8+6bDyH/mhWXxVfDFVd1Hi11vcC9+7uEK313D2eUqmtwBigIrapEHiri123Am9qrUtjxz0G/KMnxd5fUgMWIoEEpmVT+OwZFP7ndAKTdmplW7QRAIXGTyv+C2ZhHDJuj+fTjmbDC+2Dtdb9b/cDt4TYrb5pgn4KuAZAKTUJmAe83MV+TwLzlVI7modOBj7vlRJ0QwLwXrp3icOCh6Nc9VKU5ohknRdDyIS8zo/Tu0+goQxF1sT2puzsqV2vMyzEnvVJBP4dkKmUWg88D1yttW4AUErdopS6FkBrvRW4DfhIKbUUd9rSd3qjAN2RJui9sLhMc80rblq9j0sgL9nh10dJkgExRFx9DDz+MbSEYUQWnDy7R4edeu8hLLlvHYbPYM5XJ/dxIcWQ1AeDoLXWTcD5u3nupp0e/xP4Z++XYs8kAO+FsqbONd7tTVIDFkOHmj8BvfzXsLwIFkxEDetZbTYlP4nDftKzYC1E1xJzHrkE4L1w7BjFUaMV72zT5CTBt0yp/YqhRY3Pg/F53e8oRG9KzPgrAXhv+D2KNy70sLEWClIgTdY4FUKI/Zegl1IJwHvJYygmZce7FEIIMZQkZgSWACyEECK+EjP+SgAWQggRZwm6mIfMAxZCCCHiQAKwEEIIEQfSBC2EECK+ErMFWgKwEEKIeEvMCCwBWAghRHwlZvyVACyEECLOJAALIYQQ8ZCYEVgCsBBCiPhKzPgr05CEEEKIeJAasBBCiPhK0BqwBGAhhBDxJakohRBCCNFfpAYshBAivhKzAiwBWAghRLwlZgSWACyEECK+EjP+Sh+wEEIIEQ9SAxZCCBFfCVoDlgA8wNmO5p7PNWXNmitnGRSmJ+gnVQghhpghEYBN0/wG8HUgAtiWZR0Y3xL1nu+/4/CnTzUAD62wWfUVD0k+CcJCiCGkD+YBK6WSgQeAg4Ao8D2t9fNd7GcAfwJOAGygGLhCa13S64XayaDvAzZN8xzgfGCeZVmzgJPiXKRe9UGxbru/pR6KG+NYGCGEGDy+B9RrrScCpwP3KaVSu9jvDGA+MFtrPQtYCfy0Pwo46AMw8F3gZsuyGgAsyyqLc3l61ekT2v+LZuVCYXocCyOEEH1BdXHbfxcA9wBordcBFnBKF/tpIAAEY7XhNKCoV0rQjaHQBD0dOMQ0zV8CfuAey7L+Hucy9ZqfLjA4IA+2N8H5kxV+jzQ/CyGGPqXU1cDVHTbdq7W+dy9OUQhs6fB4KzC6i/2eA44GtgPNwGrcLs0+N+ADsGman+H+IbuSD3hw/6iHA7nAB6ZprrEs690uztX2H1pQUNA3Be4DHWvBQggx5HRRr4gF290GXKVUd7Ghp+YC04CRQAPwZ+CPwPV7cY59MuADsGVZc/f0vGmaW4HHLctygHLTNF8DDgZ2CcCWZbX9h1566aV65+eFEELEw9637Gmt9xgblFJbgTFARWxTIfBWF7teDrypta6LHfcI8I+9LtA+GApVq8eAkwFM00wBjgA+j2uJhBBC9Fzf9AE/BVwDoJSaBMwDXu5iv03AcUopX+zxqcDyXilBNwZ8DbgH/gTca5rmitjjf1qW9Vo8CySEECLufgc8qJRajzu96GqtdQOAUuoWoERrfTdwJzADWKqUiuL2FV+9m3P2qkEfgC3LagEujXc5hBBC7KM+GFuqtW7CnaLa1XM3dbjfClzR+yXo3lBoghZCCCEGnUFfAxZCCDHIJejsSqkBCyGEEHEgNWAhhBDx1Qe5oAcDCcBCCCHiKzHjL0rrxMxHYZpmBZ3TlMVDLlAZ5zLEg7zvxCLve2iptCzr5HgXYihI2AA8EJimaVmWZca7HP1N3ndikfctRNdkEJYQQggRBxKAhRBCiDiQABxfe7O01lAi7zuxyPsWogvSByyEEELEgdSAhRBCiDiQecADhGmaRwNvAN+yLOuOOBenz5mmeSdwHBACGnHftxXfUvUd0zQnAw8BOUAVcJllWeviW6q+ZZpmDvAwMAEIA+uAayzLqtjjgUOEaZo/B24GZlmW1S/L24nBRWrAA4BpmmnAbcBL8S5LP3oJ98J0APB/wBNxLk9fuxu407KsybjLn90T5/L0Bw381rKsKZZlzQI2AL+Jc5n6hWmac4FDiH+uATGASQAeGP6Iu3blUJy03yXLsp63LCsSe/gRMMo0zSH5eTRNMw+YCzwe2/Q4MNc0zWHxK1Xfsyyr2rKstzts+hgYE6fi9BvTNAO4P7Kui3dZxMA2JC94g4lpmqcAGZZlPR3vssTR9cALlmU58S5IHxkNFFuWZQPE/i2JbU8IsR9X1wH/i3dZ+sEtwCOWZW2Od0HEwCZ9wH3MNM3PgMLdPD0Ft0nuhP4rUf/o5n3n7whGpmleCHwJOLK/yibi4q+4ff1DenyDaZoLABO4Md5lEQOfTEOKI9M0Dwf+AzTHNuXiDkr6s2VZt8StYP3ENM2zgd8Dxw3l2kKsCXotkGNZlm2apgd3INakRBiQZJrm74HZwOmWZYXiXZ6+ZJrmjcA3cQedAYwCyoCvWJb1atwKJgYkCcADiGmaDwJWgoyCPg23VnSCZVnr412evmaa5tvAfZZlPWKa5iXAlZZlHRPnYvU50zR/DSwAvmBZVnN3+w81pmluBk6TUdCiK9IELeLlAdxawtOm2Zav/jjLsqriV6Q+dS3wkGmaNwE1wGVxLk+fM01zBvAj3Nr/h7H/502WZZ0d14IJMUBIDVgIIYSIAxkFLYQQQsSBBGAhhBAiDiQACyGEEHEgAVgIIYSIAwnAQgghRBxIABYiTkzTfNs0zZ/GuxxCiPiQecBCDHCmaY4FNgGjLcsqinNxhBC9RGrAQgghRBxIDViIAcA0zQeA44FMYBvwS8uyHos9/Xns3zWmaWrgNsuybu3/UgohepMEYCEGhveB7wG1wPnAP03TXGJZ1krgANwm6CnSBC3E0CEBWIgBwLKs+zs8/Jdpmt8DjgZWxqdEQoi+JgFYiDiLLVZ/M3ABUABoIAUYFsdiCSH6mAzCEiL+LgKuAs4FsizLysTt91Wx5504lUsI0YckAAsRf+lAFKgADNM0r8Dt992hAjcIT4pD2YQQfUQCsBDx9xCwEFgPFAPTgfd2PGlZVgvwM+Bx0zRrTdP8SVxKKYToVbIesBBCCBEHUgMWQggh4kACsBBCCBEHEoCFEEKIOJAALIQQQsSBBGAhhBAiDiQACyGEEHEgAVgIIYSIAwnAQgghRBxIABZCCCHi4P8Bkephy6NTs94AAAAASUVORK5CYII=\n",
- "text/plain": [
- "<Figure size 540x360 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"shap.dependence_plot('lat', shap_values, test_df)#, interaction_index='nightlight_5km')"
]
@@ -231,7 +149,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -247,22 +165,9 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 576x1000.8 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"# interaction plot\n",
"shap.summary_plot(\n",
@@ -279,22 +184,9 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 864x864 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"# interaction matrix\n",
"tmp = np.abs(interaction_values).sum(0)\n",
@@ -335,7 +227,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.5"
+ "version": "3.8.10"
}
},
"nbformat": 4,
diff --git a/jupyter/xai_Dashboard-scarlet.ipynb b/jupyter/xai_Dashboard-scarlet.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..9b5fa940095d4344ed0f90860fd920b8b8bcdef9
--- /dev/null
+++ b/jupyter/xai_Dashboard-scarlet.ipynb
@@ -0,0 +1,383 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Scarlet Stadtler, based on code by Fabian Schuller\n",
+ "#16.09.21\n",
+ "\n",
+ "import ipywidgets as widgets\n",
+ "from IPython.display import Video, Image, HTML, display\n",
+ "\n",
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import random\n",
+ "import seaborn as sns\n",
+ "\n",
+ "from matplotlib import pyplot as plt\n",
+ "#import matplotlib.image as mpimg\n",
+ "#import plotly.graph_objects as go\n",
+ "import plotly.express as px\n",
+ "#import plotly.io as pio\n",
+ "\n",
+ "#%matplotlib inline\n",
+ "\n",
+ "import settings\n",
+ "\n",
+ "from experiments.activation_visualization import ActivationVisualization\n",
+ "import experiments.shap_plots as sp\n",
+ "import experiments.testerror_visualization as tv\n",
+ "from experiments.RF_activation_visualization import RFActVis\n",
+ "\n",
+ "%load_ext autoreload\n",
+ "%autoreload 2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "randomforest_model = 'egu_pruned_rf/'\n",
+ "neuralnetwork_model = 'egu_pruned_nn_scale_targets_true/'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Load data\n",
+ "data = pd.read_csv(settings.resources_dir+ settings.AQbench_dataset_file, index_col='id')\n",
+ "data = data[data['dataset']=='test'].copy() \n",
+ "\n",
+ "data_scaled = pd.read_csv(settings.model_database_dir+ neuralnetwork_model + '/data_features_test.csv')\n",
+ "#preds = pd.read_csv('../database/models/egu_pruned_nn_scale_targets_true/o3_predictions.csv')\n",
+ "data_scaled = data_scaled.set_index('id')\n",
+ "\n",
+ "mydata = tv.prepare_dataframe(neuralnetwork_model, randomforest_model) # contains comparison between predictions and original data NN\n",
+ "\n",
+ "# Define functions to find stations with interesting attributes like high ozone/error \n",
+ "def get_random_station():\n",
+ " return mydata.sample()\n",
+ "\n",
+ "def get_high_perror_station():\n",
+ " \"\"\"positive error\"\"\"\n",
+ " Narray = np.array(mydata['nn_delta'])\n",
+ " Narray.sort()\n",
+ " length = len(Narray)\n",
+ " Narray = Narray[length - 200:]\n",
+ " value = random.choice(Narray) \n",
+ " return mydata[mydata['nn_delta'] == value]\n",
+ "\n",
+ "def get_high_nerror_station():\n",
+ " \"\"\"negative error\"\"\"\n",
+ " Narray = np.array(mydata['nn_delta'])\n",
+ " Narray.sort()\n",
+ " length = len(Narray)\n",
+ " Narray = Narray[0:200]\n",
+ " value = random.choice(Narray) \n",
+ " return mydata[mydata['nn_delta'] == value]\n",
+ "\n",
+ "\n",
+ "def get_high_ozone_example_station():\n",
+ " Narray = np.array(mydata['o3_average_values'])\n",
+ " Narray.sort()\n",
+ " length = len(Narray)\n",
+ " Narray = Narray[length - 200:]\n",
+ " value = random.choice(Narray) \n",
+ " return mydata[mydata['o3_average_values'] == value]\n",
+ "\n",
+ "def get_low_ozone_example_station():\n",
+ " Narray = np.array(mydata['o3_average_values'])\n",
+ " Narray.sort()\n",
+ " length = len(Narray)\n",
+ " Narray = Narray[0 : 200]\n",
+ " value = random.choice(Narray)\n",
+ " return mydata[mydata['o3_average_values'] == value]\n",
+ "\n",
+ "def get_low_error_station():\n",
+ " Narray = np.array(mydata['rf_delta'])\n",
+ " # Remove all values above 4\n",
+ " Narray = Narray[Narray < 1]\n",
+ " # Remove all values below -4\n",
+ " Narray = Narray[Narray > -1]\n",
+ " value = random.choice(Narray)\n",
+ " return mydata[mydata['rf_delta'] == value]\n",
+ "\n",
+ "def display_station(station):\n",
+ " station_idx = station.index\n",
+ " scaled_data = data_scaled.loc[station_idx]\n",
+ " original_data = data.loc[station_idx]\n",
+ " summary = mydata.loc[station_idx]\n",
+ " \n",
+ " keys1 = ['country', 'climatic_zone', 'lat', 'alt', 'relative_alt', 'water_25km', 'forest_25km']\n",
+ " df_display_unscaled = original_data[keys1]\n",
+ " keys2 = ['lat', 'alt', 'relative_alt', 'water_25km', 'forest_25km']\n",
+ " df_display_scaled = scaled_data[keys2]\n",
+ " \n",
+ " return df_display_unscaled, df_display_scaled, summary"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "av = ActivationVisualization(model_dir=neuralnetwork_model)\n",
+ "\n",
+ "av.load_nn()\n",
+ "av.prepare_weights_and_biases()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "rfav = RFActVis(randomforest_model, print_=False)\n",
+ "rfav.load_data_and_model()\n",
+ "rfav.find_leaf_train_set()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [],
+ "source": [
+ "example_station = get_random_station()\n",
+ "\n",
+ "station_id = example_station.index\n",
+ "\n",
+ "\n",
+ "def output(choice, custom, check):\n",
+ " \n",
+ " if check:\n",
+ " button.value = False\n",
+ " else:\n",
+ " return\n",
+ " \n",
+ " c = str(choice)\n",
+ " \n",
+ " if c == 'low ozone':\n",
+ " example_station = get_low_ozone_example_station()\n",
+ " elif c == 'high ozone':\n",
+ " example_station = get_high_ozone_example_station()\n",
+ " elif c == 'high underestimation':\n",
+ " example_station = get_high_perror_station()\n",
+ " elif c == 'high overestimation':\n",
+ " example_station = get_high_nerror_station()\n",
+ " elif c == 'low error station':\n",
+ " example_station = get_low_error_station()\n",
+ " elif c == 'custom':\n",
+ " try:\n",
+ " example_station = data.loc[int(custom)] \n",
+ " example_station = data[data['o3_average_values'] == example_station['o3_average_values']]\n",
+ " except KeyError:\n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>No STation found with id \"{custom}\"</h2>\n",
+ " \"\"\")) \n",
+ " return\n",
+ " else:\n",
+ " example_station = get_random_station()\n",
+ " \n",
+ " station_id = example_station.index[0] \n",
+ " \n",
+ " rfav.find_leaf_test_set(station_id=station_id)\n",
+ " rfav.get_all_leaf_stations(station_id=station_id)\n",
+ " rfav.calc_contributions()\n",
+ " rf_activations, station_location = rfav.prepare_plotting(station_id=station_id)\n",
+ " _ = rfav.our_leaf_tree_formula()\n",
+ " \n",
+ " fig2 = px.scatter_geo(station_location, lat='lat', lon='lon', color='o3_average_values')\n",
+ " fig2.show()\n",
+ " \n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>Some Of the relevant data</h2>\n",
+ " \"\"\")) \n",
+ " display(HTML(display_station(example_station)[0].to_html()))\n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>Data converted for the learning algorithm</h2>\n",
+ " \"\"\")) \n",
+ " display(HTML(display_station(example_station)[1].to_html()))\n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>Comparison to observed average ozone</h2>\n",
+ " \"\"\")) \n",
+ " display(HTML(display_station(example_station)[2].to_html()))\n",
+ "\n",
+ " \n",
+ " av.plot_weights_and_biases()\n",
+ " av.forward_propagation(id=station_id)#3336\n",
+ " av.plot_signals_and_activations()\n",
+ " sp.force_plot(station_id, neuralnetwork_model)\n",
+ " sp.force_plot(station_id, randomforest_model)\n",
+ " \n",
+ " sa = open(settings.output_dir + '/signals_activations.png', 'rb').read()\n",
+ " wb = open(settings.output_dir + '/weights_biases.png', 'rb').read()\n",
+ " fnn = open(settings.output_dir + neuralnetwork_model.replace('/', '_') + 'shap_plot.png', 'rb').read()\n",
+ " frf = open(settings.output_dir + randomforest_model.replace('/', '_') + 'shap_plot.png', 'rb').read()\n",
+ " w2 = widgets.Image(value=wb, format='png', width=500, height=500)\n",
+ " w3 = widgets.Image(value=sa, format='png', width=500, height=500)\n",
+ " w1 = widgets.Image(value=fnn, format='png')\n",
+ " w4 = widgets.Image(value=frf, format='png')\n",
+ " \n",
+ " hbox = widgets.HBox([w2, w3])\n",
+ " \n",
+ " display(HTML(f\"\"\"\n",
+ " <h1>Neural connections</h1>\n",
+ " \"\"\"))\n",
+ " display(hbox)\n",
+ " \n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>Shap plot Neural Network </h2>\n",
+ " \"\"\")) \n",
+ " display(w1)\n",
+ "\n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>Shap plot Random Forest </h2>\n",
+ " \"\"\")) \n",
+ " display(w4)\n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>RF leaf station contributions </h2>\n",
+ " \"\"\"))\n",
+ " fig1 = px.scatter_geo(rf_activations, lat='lat', lon='lon', color='contribution')\n",
+ " fig1.show()\n",
+ " rfav.leaf_hist(station_id=station_id)\n",
+ " #fig3.show()\n",
+ " \n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>Please ignore the following </h2>\n",
+ " \"\"\")) \n",
+ " display(HTML(f\"\"\"\n",
+ " <h2>Please ignore the following </h2>\n",
+ " \"\"\")) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " <h1>Select example Station</h1>\n",
+ " "
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "bf0c9523049d4f20a74687f123ff8c6e",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "interactive(children=(RadioButtons(description='Station type', options=('random', 'high ozone', 'low ozone', '…"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<function __main__.output(choice, custom, check)>"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "display(HTML(f\"\"\"\n",
+ " <h1>Select example Station</h1>\n",
+ " \"\"\"))\n",
+ "\n",
+ "sel = widgets.RadioButtons(\n",
+ " options=['random', 'high ozone', 'low ozone', \n",
+ " 'high underestimation', 'high overestimation',\n",
+ " 'low error station', 'custom'],\n",
+ " description='Station type',\n",
+ " value = 'random' )\n",
+ "\n",
+ "button = widgets.ToggleButton(\n",
+ " value=False,\n",
+ " description='Start Visualization',\n",
+ " disabled=False,\n",
+ " button_style='success', # 'success', 'info', 'warning', 'danger' or ''\n",
+ " tooltip='Description',\n",
+ " icon='check' # (FontAwesome names without the `fa-` prefix)\n",
+ ")\n",
+ "\n",
+ "custom = widgets.Text(\n",
+ " value='',\n",
+ " placeholder='Custom Station ID',\n",
+ " description='Custom Station:',\n",
+ " disabled=False\n",
+ ")\n",
+ "\n",
+ "\n",
+ "#display(custom)\n",
+ "widgets.interact(output, choice=sel, custom=custom, check=button)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/jupyter/xai_Dashboard.ipynb b/jupyter/xai_Dashboard.ipynb
index be052faeb69111278d6362a9e239b1fe3d59afa7..c562f9a282896e916ac8f2e243d8e41e355cb14d 100755
--- a/jupyter/xai_Dashboard.ipynb
+++ b/jupyter/xai_Dashboard.ipynb
@@ -106,7 +106,7 @@
},
{
"cell_type": "code",
- "execution_count": 44,
+ "execution_count": 6,
"metadata": {
"scrolled": false
},
@@ -171,7 +171,7 @@
" <h2>Shap plot (estimation)</h2>\n",
" \"\"\")) \n",
" \n",
- " sp.force_plot(station_id)\n",
+ " sp.force_plot(station_id, 'nn')\n",
" \n",
" av.plot_weights_and_biases()\n",
" av.forward_propagation(id=station_id)#3336\n",
@@ -179,7 +179,7 @@
" \n",
" sa = open('../output/signals_activations.png', 'rb').read()\n",
" wb = open('../output/weights_biases.png', 'rb').read()\n",
- " sp_ = open('../output/shap_plot.png', 'rb').read()\n",
+ " sp_ = open('../output/nn_shap_plot.png', 'rb').read()\n",
" w1 = widgets.Image(value=sp_, format='png')\n",
" w2 = widgets.Image(value=wb, format='png', width=500, height=500)\n",
" w3 = widgets.Image(value=sa, format='png', width=500, height=500)\n",
@@ -219,7 +219,7 @@
},
{
"cell_type": "code",
- "execution_count": 45,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -239,7 +239,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "f921046861d547fbbf74dcddafc70b2b",
+ "model_id": "325fb5bc1c3c4e22ba759f3ef782c9ea",
"version_major": 2,
"version_minor": 0
},
@@ -256,7 +256,7 @@
"<function __main__.output(choice, custom, check)>"
]
},
- "execution_count": 45,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -316,7 +316,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.5"
+ "version": "3.8.10"
}
},
"nbformat": 4,
diff --git a/setup/requirements_own.txt b/setup/requirements_own.txt
index 6c33a138c6af3e4148aba6b833bc66eabf03edf0..8082dcb76e1275a77d2e3c1caa29a2f7d4f92a7c 100644
--- a/setup/requirements_own.txt
+++ b/setup/requirements_own.txt
@@ -1,4 +1,5 @@
absl-py==0.10.0
+anyio==3.3.0
argon2-cffi==20.1.0
astunparse==1.6.3
attrs==20.1.0
@@ -10,6 +11,8 @@ certifi==2020.6.20
cffi==1.14.2
cftime==1.4.1
chardet==3.0.4
+cloudpickle==1.6.0
+colour==0.1.5
cycler==0.10.0
decorator==4.4.2
defusedxml==0.6.0
@@ -20,6 +23,7 @@ gast==0.3.3
google-auth==1.21.0
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
+graphviz==0.17
grpcio==1.31.0
h5py==2.10.0
idna==2.10
@@ -36,20 +40,27 @@ json5==0.9.5
jsonschema==3.2.0
jupyter-client==6.1.7
jupyter-core==4.6.3
+jupyter-server==1.10.2
jupyterlab==2.2.6
+jupyterlab-pygments==0.1.2
jupyterlab-server==1.2.0
Keras-Preprocessing==1.1.2
kiwisolver==1.2.0
+llvmlite==0.36.0
+loss-landscapes==3.0.6
Markdown==3.2.2
MarkupSafe==1.1.1
matplotlib==3.3.1
missingno==0.4.2
mistune==0.8.4
more-itertools==8.5.0
-nbconvert==5.6.1
+nbclient==0.5.4
+nbconvert==6.1.0
nbformat==5.0.7
+nest-asyncio==1.5.1
netCDF4==1.5.5.1
notebook==6.1.3
+numba==0.53.1
numpy==1.20.1
oauthlib==3.1.0
opt-einsum==3.3.0
@@ -60,7 +71,7 @@ parso==0.7.1
pexpect==4.8.0
pickleshare==0.7.5
Pillow==7.2.0
-#pkg-resources==0.0.0
+pkg_resources==0.0.0
plotly==4.14.3
pluggy==0.13.1
prometheus-client==0.8.0
@@ -84,6 +95,7 @@ pytz==2020.1
pyzmq==19.0.2
requests==2.24.0
requests-oauthlib==1.3.0
+requests-unixsocket==0.2.0
retrying==1.3.3
rsa==4.6
scikit-learn==0.23.2
@@ -91,11 +103,13 @@ scipy==1.4.1
seaborn==0.10.1
Send2Trash==1.5.0
shap==0.38.1
+Shapely==1.7.1
simplekml==1.3.5
six==1.15.0
+slicer==0.0.7
+sniffio==1.2.0
tensorboard==2.3.0
tensorboard-plugin-wit==1.7.0
-#tensorflow-cpu==2.3.0
tensorflow-estimator==2.3.0
termcolor==1.1.0
terminado==0.8.3
@@ -104,12 +118,14 @@ threadpoolctl==2.1.0
toml==0.10.1
torch==1.6.0
torchvision==0.7.0
-tornado==6.0.4
-traitlets==4.3.3
+tornado==6.1
+tqdm==4.61.0
+traitlets==5.1.0
urllib3==1.25.10
voila==0.2.11
wcwidth==0.2.5
webencodings==0.5.1
+websocket-client==1.2.1
Werkzeug==1.0.1
widgetsnbextension==3.5.1
wrapt==1.12.1
diff --git a/source/experiments/RF_activation_visualization.py b/source/experiments/RF_activation_visualization.py
new file mode 100644
index 0000000000000000000000000000000000000000..ede98aad5aabc86f70113e346fee8a90971cd6fa
--- /dev/null
+++ b/source/experiments/RF_activation_visualization.py
@@ -0,0 +1,281 @@
+"""
+This script contains routines which can visualize which training
+station and ozone values contribute to a prediction during testing.
+"""
+
+# data science
+import pandas as pd
+import numpy as np
+import math
+
+# misc utils
+import pdb
+
+# plotting
+import matplotlib.pyplot as plt
+
+# own package
+import settings
+from models.random_forest import RandomForest
+from preprocessing.data import DataForTraining
+
+
+__author__ = 'Scarlet Stadtler, Clara Betancourt'
+
+
+class RFActVis:
+ def __init__(self, model_dir, print_):
+ """
+ Initialize the class with a model directory
+ """
+ self.model_dir = model_dir
+ self.print_ = print_
+
+ def load_data_and_model(self):
+ """
+ Load data and model needed for our visualization
+ """
+ # Data
+ self.train_df = pd.read_csv(settings.model_database_dir+self.model_dir+'/data_features_train.csv',
+ index_col='id')
+ self.test_df = pd.read_csv(settings.model_database_dir+self.model_dir+'/data_features_test.csv',
+ index_col='id')
+
+ # Trees
+ rf = RandomForest(output_folder=self.model_dir)
+ rf.load_model()
+ self.tree_list = rf.model.estimators_
+
+ def find_leaf_train_set(self):
+ """
+ For every tree and every train sample, find leaf
+ node_count_list: Is a list of length = number of trees in RF,
+ It contains for each tree the number of nodes.
+ Note: the node count starts at the first split with 0. This means
+ when we are down to the leaf nodes, the leaf node IDs will be
+ in the order of thousands, given a RF with unlimited depth.
+
+ activation_df: Is a dataframe containing all tree IDs, leaf node
+ IDs, the corresponding leaf node prediction
+ (= average of train stations in that leaf node)
+ """
+ node_count_list = []
+ for tree_id, tree in enumerate(self.tree_list):
+ # print(tree.tree_.max_depth)
+ # print(len(np.unique(leaf_ids)))
+ node_count_list.append(tree.tree_.node_count)
+
+
+ ids = self.train_df.index.to_list()
+ o3 = tree.predict(self.train_df)
+ leaf_ids = tree.apply(self.train_df)
+ tree_ids = [tree_id] * len(o3)
+
+ leaf_df = pd.DataFrame(data=np.transpose(np.array([tree_ids, leaf_ids, o3, ids])),
+ # index=ids,
+ columns=['tree_id', 'leaf_id', 'predictions', 'station_id'])
+ # leaf_df.set_index(['tree_id', 'leaf_id', 'predictions'], inplace=True, drop=False)
+ leaf_df.sort_values('leaf_id', inplace=True)
+ if tree_id == 0:
+ activation_df = leaf_df
+ else:
+ activation_df = activation_df.append(leaf_df, ignore_index=True)
+ self.activation_df = activation_df
+ #print('Total number of nodes whole Random Forest', np.sum(node_count_list))
+
+ def find_leaf_test_set(self, station_id=3336):
+ """
+ For a prediction, find the leafs of every tree
+ input_features: Only take the input features of the specific
+ station_id handed over to this method
+ contributions_df: contains leaf IDs for a given test station,
+ specified by station_id
+ """
+ input_features = self.test_df.loc[station_id]
+ collect_all_predictions = []
+ for tree_id, tree in enumerate(self.tree_list):
+ o3 = tree.predict(np.array(input_features).reshape(1,-1))
+ leaf_id = tree.apply(np.array(input_features).reshape(1,-1))
+ minilist = [tree_id, leaf_id[0], o3[0], station_id]
+ collect_all_predictions.append(minilist)
+ self.contributions_df = pd.DataFrame(collect_all_predictions,
+ columns=['tree_id', 'leaf_id', 'predictions', 'station_id'])
+ # contributions_df includes 100 entries, should be fine!
+
+ def get_all_leaf_stations(self, station_id=3336):
+ """
+ Create one dataframe with all
+ stations that contributed to the prediction.
+
+ activation_df: contains all leafs of all trees and
+ the corresponding predictions/station ids
+ (Training Set)
+ contributions_df: contains the single leafs responsible for
+ for the prediction for each tree for a
+ single station of the Test Set.
+ single_station_contributors_df: contains all leafs/station
+ ids (Training Set stations)
+ responsible for the
+ single prediction (Test Set station).
+ """
+ for t_id in self.contributions_df.tree_id:
+ l_id = self.contributions_df.loc[self.contributions_df['tree_id'] == t_id]['leaf_id'] # get leaf_id
+ temp_df = self.activation_df.loc[(self.activation_df['tree_id'] == int(t_id)) & (self.activation_df['leaf_id'] == int(l_id))]
+ if t_id == 0:
+ ssc = temp_df
+ else:
+ ssc = ssc.append(temp_df, ignore_index=True)
+ # I think I have to replace these lines to get the right contribution value for each station:
+ #counted_stations = ssc['station_id'].value_counts()/len(ssc)
+ #counted_stations_df = pd.DataFrame(counted_stations).rename(columns = {'station_id': 'contribution'})
+ #self.station_importances = counted_stations_df
+ self.single_station_contributors_df = ssc
+ """
+ strange about scc:
+ - station IDs are dublicated until 1000
+ - includes around 3000 unique stations, beofre it was between 50 and 200
+
+ """
+
+
+
+
+ def calc_contributions(self):
+ """ Calculate the contributions properly.
+ By contribution I mean how much a single training station value
+ went into the prediction.
+ """
+ ss_df = self.single_station_contributors_df
+ n_trees = len(ss_df.tree_id.drop_duplicates().index)
+
+ # Extract contributions from each single leaf
+ for t_id in range(n_trees):
+ idx = ss_df.index[ss_df['tree_id'] == float(t_id)]
+ leaf_station_ids = ss_df.loc[idx].station_id
+ n_stations_leaf = len(leaf_station_ids)
+ importance_one_station = 1./n_stations_leaf
+
+ #print("t_id", t_id)
+ if t_id == 0:
+ contributions = pd.DataFrame(leaf_station_ids)
+ contributions['contribution'] = 0.0
+ contributions['contribution'] += importance_one_station
+ #print("case id == 0", contributions)
+ else:
+ leaf_contributions = pd.DataFrame(leaf_station_ids)
+ leaf_contributions['contribution'] = 0.0
+ leaf_contributions['contribution'] += importance_one_station
+ contributions = contributions.append(leaf_contributions)
+ #print("should grow")
+ #print(contributions)
+
+ #print("contributions")
+ #print(contributions)
+ self.fractions_in_each_leaf = contributions
+ # Add up contributions from each single leaf to total contribution
+ unique_station_ids = contributions.station_id.drop_duplicates()
+ table = []
+ for i in unique_station_ids.values:
+ sum_c_one_station = sum(contributions[contributions['station_id']==i].contribution)
+ table.append([i, sum_c_one_station])
+
+ temp = pd.DataFrame(table)
+ temp.columns = ['station_id', 'contribution']
+ temp = temp.set_index('station_id')
+ temp['contribution'] = temp['contribution'].div(n_trees)
+ self.station_importances = temp
+ #pdb.set_trace()
+
+
+ def prepare_plotting(self, station_id=3336):
+ """
+ For plotting only, the station ids, their contribution
+ (importance) values and their coordinates are needed.
+ station ids and contribution values are stored in
+ self.station_importances (pandas series). The coordinates can be
+ found in AQ-Bench.
+ """
+ # Convert pandas series to dataframe
+
+ # Read in AQ-Bench
+ aqb = pd.read_csv(settings.resources_dir + settings.AQbench_dataset_file)
+ aqb = aqb.set_index('id')
+ observation = aqb[['lon', 'lat' , 'o3_average_values']].loc[station_id]
+ self.aqb = aqb
+ # Convert observation to dataframe
+ observation = observation.to_frame().transpose()
+
+ coordinates = aqb[['lon', 'lat', 'o3_average_values']]
+ coordinates = coordinates.loc[self.station_importances.index]
+ self.ready_for_plotting = pd.merge(coordinates, self.station_importances,
+ left_index=True, right_index=True)
+
+ return self.ready_for_plotting, observation
+
+ def useful_info(self):
+ """
+ Print some useful information on how the prediction was made.
+ """
+ prediction_leaf, prediction_station_contrib = self.our_leaf_tree_formula()
+ if self.print_:
+ print('Number of stations in leafs: ',len(self.single_station_contributors_df))
+ print('Number of unique stations in leafs: ', len(self.station_importances))
+ print('Average prediction (leaf): ', prediction_leaf)
+ print('Prediction calculated by hand ', prediction_station_contrib)
+ print('Standard deviation: ', self.single_station_contributors_df.predictions.std())
+ print('Maximum predicted ozone: ', self.single_station_contributors_df.predictions.max())
+ print('Minimum predicted ozone: ', self.single_station_contributors_df.predictions.min())
+
+ def our_leaf_tree_formula(self):
+ """ Calculate prediction from leafs and stations by hand. """
+ # Prediction from leafs sum(leafs)/number trees
+ # Get indices of trees while dropping dublicate values
+ idx_trees = self.single_station_contributors_df.tree_id.drop_duplicates().index
+ self.supposed_prediction_leaf = self.single_station_contributors_df.loc[idx_trees].mean().predictions
+
+ # Prediction based on stations and their fractional contribution in the leaf
+ # Please note this is not 100% accurate since we do not have information over
+ # bootstrapped dataset used for each single decision tree
+ p = []
+ for i in self.fractions_in_each_leaf.index:
+ s_id = int(self.fractions_in_each_leaf.station_id[int(i)])
+ cc = self.fractions_in_each_leaf.contribution[i]*self.aqb.o3_average_values[s_id]
+ p.append(cc)
+ self.supposed_prediction_station_contribution = sum(p)/100
+ return self.supposed_prediction_leaf, self.supposed_prediction_station_contribution
+
+ def leaf_hist(self, station_id=3336):
+ """single_station_contributors_df is the dataframe
+ which includes the single leaf predictions."""
+ self.useful_info()
+ pred = self.supposed_prediction_leaf
+ leaf_df = self.single_station_contributors_df
+ plt.style.use('seaborn-darkgrid')
+ fig, ax = plt.subplots(1, 1, figsize=(9, 3), sharey=True)
+ w = 1 # With of Histogram
+ ax.hist(leaf_df.predictions, bins=np.arange(min(leaf_df.predictions), max(leaf_df.predictions) + w, w))
+ ax.grid(True)
+ ax.annotate(" P(RF)", # Point to predicted value
+ xy=(pred,0),
+ xytext=(pred, -5),
+ arrowprops = dict(facecolor='black', shrink=0.05))
+ ax.set_title('Leaf predictions '+'('+str(station_id)+')')
+ plt.savefig(settings.output_dir+'leaf_prediction_historgram.png')
+
+if __name__ == '__main__':
+ my_id = 8756#6952
+ rfav = RFActVis('egu_pruned_rf', print_=True)
+ rfav.load_data_and_model()
+ rfav.find_leaf_train_set()
+ rfav.find_leaf_test_set(my_id)
+ rfav.get_all_leaf_stations(my_id)
+ rfav.calc_contributions()
+ yolo, lolo = rfav.prepare_plotting(my_id)
+ rfav.useful_info()
+ pred1, pred2 = rfav.our_leaf_tree_formula()
+ rfav.leaf_hist(my_id)
+ #pdb.set_trace()
+
+
+
+
diff --git a/source/experiments/activation_visualization.py b/source/experiments/activation_visualization.py
index e5b082390ca2a323e2a8078a3837a3bea6540ebd..922a7f20e1550e9a4ca4f239d6a04bd6fe07f833 100755
--- a/source/experiments/activation_visualization.py
+++ b/source/experiments/activation_visualization.py
@@ -181,7 +181,7 @@ class ActivationVisualization():
bbox_inches='tight', pad_inches=0.)
- #plt.close()
+ plt.close()
return fig
@@ -191,16 +191,16 @@ class ActivationVisualization():
External colorbar.
"""
fig, ax = plt.subplots(1, 1)
- fig.patch.set_facecolor('white')
- ax.patch.set_facecolor('white')
+ fig.patch.set_facecolor('black') # Scarlet
+ ax.patch.set_facecolor('black') # Scarlet
im = ax.imshow([[-1*self.g['max_v'], self.g['max_v']],[0, 0]],
cmap='RdBu_r')
im.axes.tick_params(color='white', labelcolor='white')
- cb = plt.colorbar(im, orientation='horizontal')
- # cb.set_label(r'O$_3$ [ppb]', color='black', fontsize=15,
+ cb = plt.colorbar(im, orientation='horizontal', extend='both')
+ #cb.set_label(r'O$_3$ [ppb]', color='white', fontsize=15,
# labelpad =-13, rotation=0, y=-0.05)
- # cb.ax.yaxis.set_tick_params(color='green')
+ cb.ax.yaxis.set_tick_params(color='green')
cb.outline.set_edgecolor('white')
cb.ax.tick_params(labelsize=8, color='gray')
plt.setp(plt.getp(cb.ax.axes, 'yticklabels'),
@@ -215,10 +215,17 @@ class ActivationVisualization():
we have to propagate it.
"""
# Read in one example
- self.example = pd.read_csv(settings.model_database_dir +
- self.model_dir +
- 'data_features_test.csv',
- index_col='id').loc[id]
+ test_df = pd.read_csv(settings.model_database_dir +
+ self.model_dir +
+ 'data_features_test.csv',
+ index_col='id')
+ train_df = pd.read_csv(settings.model_database_dir +
+ self.model_dir +
+ 'data_features_train.csv',
+ index_col='id')
+
+ examples_df = test_df.append(train_df)
+ self.example = examples_df.loc[id]
self.inputs = np.array(self.example).reshape(-1, 1)
# calculate signals and activations
@@ -263,9 +270,10 @@ class ActivationVisualization():
ax.set_facecolor('black')
# color scale
+ #n_colors = 1000
+ #colors = pl.cm.RdGy_r(np.linspace(0., 1., n_colors))
n_colors = 1000
- colors = pl.cm.RdGy_r(np.linspace(0., 1., n_colors))
-
+ colors = pl.cm.RdBu_r(np.linspace(0., 1., n_colors))
# prepare the spines
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
@@ -352,7 +360,7 @@ if __name__ == '__main__':
av.prepare_weights_and_biases()
av.plot_weights_and_biases()
av.plot_colorbar()
- av.forward_propagation(id=3336)
+ av.forward_propagation(id=6952)
av.plot_signals_and_activations()
diff --git a/source/experiments/kmedoids.py b/source/experiments/kmedoids.py
new file mode 100644
index 0000000000000000000000000000000000000000..9da008104f61902ba52ee6c9a9a066c76beb6bce
--- /dev/null
+++ b/source/experiments/kmedoids.py
@@ -0,0 +1,82 @@
+# General
+import pdb
+
+# Data science
+import pandas as pd
+from sklearn import metrics
+from sklearn_extra.cluster import KMedoids
+
+# Own package
+import settings
+from preprocessing.data_for_clustering import DataForClustering
+from postprocessing.t_sne import TSne
+
+
+__author__ = 'Clara Betancourt'
+
+
+class KMClustering():
+ """
+ A class for kmedoids clustering.
+ """
+ def __init__(self, input_df):
+ """
+ Initialize...
+ """
+ print('Initializing KM_clustering class...')
+ self.input_df = input_df
+
+ def cluster(self, n_clusters=None):
+ """
+ Find the representation.
+ """
+ print('Clustering...')
+ self.km = KMedoids(n_clusters=n_clusters,
+ random_state=settings.random_seed)
+ self.km.fit(df)
+
+ def calculate_metrics(self):
+ """
+ Calculate silhouette, ...
+ """
+ print('Calculate metrics...')
+ self.metrics = {}
+ self.metrics['silhouette'] = \
+ metrics.silhouette_score(self.input_df,
+ self.km.labels_,
+ metric='euclidean')
+ self.metrics['calinski'] = \
+ metrics.calinski_harabasz_score(self.input_df,
+ self.km.labels_)
+ self.metrics['davies'] = \
+ metrics.davies_bouldin_score(self.input_df,
+ self.km.labels_)
+
+
+if __name__ == '__main__':
+ """
+ Some tryouts.
+ """
+ dfc = DataForClustering()
+ dfc.get_data(how='read')
+ for key in dfc.data.keys():
+ for n_cluster in [2, 3, 4, 5, 6]:
+ print(f'\nkmedoids for {key}, n_cluster={n_cluster}')
+ df = dfc.data[key]
+ km = KMClustering(df)
+ km.cluster(n_clusters=n_cluster)
+ km.calculate_metrics()
+ metrics_string=''
+ for metrics_key in km.metrics:
+ print(metrics_key, km.metrics[metrics_key])
+ metrics_string += metrics_key
+ metrics_string += f'_{km.metrics[metrics_key]:.2f}'.replace('.','p')
+ tsne = TSne(df)
+ tsne.tsne()
+ tsne.plot_representation(plot_name=f'cluster_{key}_{n_cluster}{metrics_string}',
+ hue=km.km.labels_)
+
+
+
+
+
diff --git a/source/experiments/nearest_neighbors_activations.py b/source/experiments/nearest_neighbors_activations.py
new file mode 100644
index 0000000000000000000000000000000000000000..c5f61cb5da18f9be4b1c3fa0e7424233a792c16f
--- /dev/null
+++ b/source/experiments/nearest_neighbors_activations.py
@@ -0,0 +1,421 @@
+"""
+This class can produce and visualize a dataframe with all
+nearest neighbors of a prediction in the feature space
+"""
+
+# General
+import pdb
+import pickle
+
+# Data science
+import numpy as np
+import pandas as pd
+from sklearn.neighbors import NearestNeighbors
+from sklearn.metrics import pairwise_distances
+
+# Plotting
+import matplotlib.pyplot as plt
+
+# Own package
+import settings
+from preprocessing.data_for_clustering import DataForClustering
+
+
+__author__ = 'Clara Betancourt, Scarlet Stadtler'
+
+
+class NearestNeighbor():
+ """
+ A class for nearest neighbors
+ """
+ def __init__(self, model_type, model_dir):
+ """
+ Initialize class
+
+ model_type can be one of 'rf' and 'nn'
+ model_dir is where to find the model
+ """
+ print('Initialize NearestNeighbor class...')
+ self.model_type = model_type
+ self.model_dir = model_dir
+ self.picklename = f'nearest_neighbors_{self.model_type}.pkl'
+
+ def read_raw_data(self):
+ """
+ Gather all the necessary data.
+ """
+ print('Read raw data for NearestNeighbor class...')
+
+ # Contributions or activations
+ dfc = DataForClustering()
+ dfc.get_data(how='read')
+ if self.model_type == 'rf':
+ test_activation_df = dfc.data['rf_activations']
+ self.train_activation_df = None
+ self.test_activation_df = test_activation_df
+
+ elif self.model_type == 'nn':
+ train_activation_df = dfc.data['nn_activations_train']
+ test_activation_df = dfc.data['nn_activations_test']
+ self.train_activation_df = train_activation_df # incl. out_node?
+ self.test_activation_df = test_activation_df # incl. out_node?
+
+ # SHAP importances
+ imp_file = 'shap_importances.csv'
+ imp_df = pd.read_csv(settings.model_database_dir +
+ self.model_dir + imp_file,
+ index_col='variable')
+ imp_df['importance'] = imp_df['importance'].div(100)
+ imp_df = imp_df.copy()
+
+ # Training and test features
+ train_features_df = pd.read_csv(settings.model_database_dir +
+ self.model_dir +
+ 'data_features_train.csv',
+ index_col='id')
+ test_features_df = pd.read_csv(settings.model_database_dir +
+ self.model_dir +
+ 'data_features_test.csv',
+ index_col='id')
+ imp_list = []
+ for feature in train_features_df.columns:
+ imp_list.append(imp_df.loc[feature, 'importance'])
+ self.train_features_df = train_features_df*imp_list
+ self.test_features_df = test_features_df*imp_list
+
+ # Prediction on test set
+ pred_o3_df = pd.read_csv(settings.model_database_dir +
+ self.model_dir + '/o3_predictions.csv')
+ pred_o3_df = pred_o3_df.set_index('id')
+ pred_o3_df = pred_o3_df.rename(columns={'prediction_unscaled':
+ 'o3_average_values'})
+ self.pred_o3_df = pred_o3_df
+
+ # True values on test set
+ aqb = pd.read_csv(settings.resources_dir +
+ settings.AQbench_dataset_file)
+ self.aqb = aqb.set_index('id')
+ true_o3_df = aqb[aqb['dataset'].isin(['test'])]
+ true_o3_df = true_o3_df.loc[:, ['id', 'o3_average_values']]
+ true_o3_df = true_o3_df.set_index('id')
+ self.true_o3_df = true_o3_df
+
+ # Prediction on training set
+ aux_pred_o3_df = pd.read_csv(settings.model_database_dir +
+ self.model_dir + '/full_o3_predictions.csv')
+
+ aux_pred_o3_df = aux_pred_o3_df.set_index('id')
+ aux_pred_o3_df = aux_pred_o3_df.rename(columns={'prediction_unscaled':
+ 'o3_average_values'})
+ red_aqb = aqb.set_index('id')
+ red_aqb = red_aqb.drop(index=[4558, 4612, 4614, 13368, 14707,
+ 15163, 4566, 4591, 4610, 4635,
+ 15122, 15238])
+ train_idx = red_aqb[red_aqb.dataset=='train'].index
+ self.aux_pred_o3_df = aux_pred_o3_df.loc[train_idx]
+
+ # Prepare AQ-Bench ids
+ chosen_ids = pred_o3_df.index.to_list()
+ self.chosen_ids = chosen_ids
+
+ def prepare_data(self):
+ """
+ Now we fill the final df
+ """
+ print('Prepare nearest neighbor data...')
+
+ # Initialize data frame
+ df = pd.DataFrame(index=self.chosen_ids,
+ columns=['true_o3', 'pred_o3', 'error',
+ 'contrib_ids', 'contribs',
+ 'contrib_dists', 'contrib_preds',
+ 'contrib_errors'])
+
+ # Initialize neighbor search for NN
+ if self.model_type == 'nn':
+ # Initialize neighbor search
+ nn = NearestNeighbors()
+ nn.fit(self.train_activation_df)
+
+ # Fill data frame with data
+ for id_ in df.index:
+ # The true o3
+ df.at[id_, 'true_o3'] = self.true_o3_df.at[id_,
+ 'o3_average_values']
+
+ # The predicted o3
+ df.at[id_, 'pred_o3'] = self.pred_o3_df.at[id_,
+ 'o3_average_values']
+
+ # The error
+ df.at[id_, 'error'] = self.true_o3_df.at[id_, 'o3_average_values'] - \
+ self.pred_o3_df.at[id_, 'o3_average_values']
+
+ if self.model_type == 'rf':
+ # Contributing ids
+ row = self.test_activation_df.loc[[id_]]
+ row_filtered = row.loc[:, (row!=0.).any(axis=0)]
+ contrib_id_list = list(row_filtered.columns.values)
+ # print(id_)
+ # print(contrib_id_list)
+ # print(df.loc[[id_]])
+
+ # Contributions
+ contrib_list = list(row_filtered.values[0])
+
+ # Only take the n most important contributions
+ n = -11
+ ind_important = np.argpartition(contrib_list, n)[n:]
+ contrib_list = list(np.array(contrib_list)[ind_important])
+ contrib_id_list = list(np.array(contrib_id_list)[ind_important])
+ #pdb.set_trace()
+
+ elif self.model_type == 'nn':
+ # Contributing ids
+ row = self.test_activation_df.loc[[id_]]
+ # Here is the parameter for number nearest neighbors NN!
+ act_dists, act_idxs = nn.kneighbors(row,
+ n_neighbors=11, # !!!!
+ return_distance=True)
+ contrib_id_list = [list(self.train_activation_df.index[x])
+ for x in act_idxs][0]
+
+ # Contributions, let's take the inverse distance in
+ # the activation space
+ # scale the contribs
+ # l = [1./(x) for x in act_dists[0]]
+ l = [np.exp(-1.*x) for x in act_dists[0]]
+ s = sum(l)
+ contrib_list = [x / s for x in l]
+
+ df.at[id_, 'contrib_ids'] = contrib_id_list
+ df.at[id_, 'contribs'] = contrib_list
+
+ # Distance in feature space
+ dist_list = []
+ for contrib_id in contrib_id_list:
+ dist = np.linalg.norm(self.test_features_df.loc[[id_]].values -
+ self.train_features_df.loc[[contrib_id]].values)
+ dist_list.append(dist)
+ df.at[id_, 'contrib_dists'] = dist_list
+
+ # Contributing predictions
+ contrib_preds_list = []
+ for contrib_id in contrib_id_list:
+ contrib_preds_list.append(self.aux_pred_o3_df.at[contrib_id, 'o3_average_values'])
+ df.at[id_, 'contrib_preds'] = contrib_preds_list
+
+
+ # Contributing residual errors
+ contrib_errors_list = []
+ for contrib_id in contrib_id_list:
+ pred = self.aux_pred_o3_df.at[contrib_id, 'o3_average_values']
+ true = self.aqb.at[contrib_id, 'o3_average_values']
+ contrib_errors_list.append(true - pred)
+ df.at[id_, 'contrib_errors'] = contrib_errors_list
+
+ self.df = df
+
+ def pickle_data(self):
+ """
+ For faster plotting later
+ """
+ pickle_path = settings.output_dir + self.picklename
+ print(f'Pickle data to {pickle_path}...')
+ with open(pickle_path, 'wb') as pickle_:
+ pickle.dump(self.df, pickle_)
+
+
+ def read_data_from_pickle(self):
+ """
+ Read existing pickle file
+ """
+ pickle_path = settings.output_dir + self.picklename
+ with open(pickle_path, 'rb') as pickle_:
+ self.df = pickle.load(pickle_)
+
+ def compare_residuals(self):
+ """
+ This method compares the residuals of the prediction with the
+ residuals of its k-nearest neighbors.
+ This is needed to classify the predictions into cases I-III
+ """
+ #compare delta_test with np.mean(delta_train)
+ df = self.df
+ case = []
+ self.t_error = 5.0
+ case1 = 0
+ case2 = 0
+ case3 = 0
+ for id_ in df.index:
+ if np.abs(df.loc[id_]['error']) < self.t_error:
+ case.append('case3')
+ case3 = case3+1
+ continue
+ #print("\n")
+ #print("test ID", id_)
+ #print("test error", df.loc[id_]['error'])
+ #print("mean error train", np.mean(df.loc[id_]['contrib_errors']))
+ #print("std error train", np.std(df.loc[id_]['contrib_errors']))
+ #print("test prediction", df.loc[id_]['pred_o3'])
+ #print("mean pred train", np.mean(df.loc[id_]['contrib_preds']))
+ #print("std pred train", np.std(df.loc[id_]['contrib_preds']))
+ #print("number of contrib samples", len(df.loc[id_]['contrib_preds']))
+
+ mean_pred_train = np.mean(df.loc[id_]['contrib_preds'])
+ pred_test = df.loc[id_]['pred_o3']
+ mean_error_train = np.mean(df.loc[id_]['contrib_errors'])
+ error_test = df.loc[id_]['error']
+
+ if np.abs(mean_error_train - error_test) < 1.:
+ case.append('case1')
+ case1 = case1 + 1
+ continue
+ case.append('case2')
+ case2 = case2 + 1
+ df['case_residuals'] = case
+ print("case-I", case1)
+ print("case-II", case2)
+ print("case-III", case3)
+ self.df = df.copy()
+
+ def compare_distance_feature_space(self):
+ """
+ Find out if the test station is within the cluster of nearest
+ neighbors or outside of it. Case A (inside) and B (outside)
+ """
+ df = self.df
+ case = []
+ caseA = 0
+ caseB = 0
+ for id_ in df.index:
+ #print("\n")
+ #print("test ID", id_)
+ #print("mean dist test-train", np.mean(df.loc[id_]['contrib_dists']))
+ #print("std dist test-train", np.std(df.loc[id_]['contrib_dists']))
+
+ dist_test_train = np.mean(df.loc[id_]['contrib_dists'])
+ contrib_id_list = df.loc[id_].contrib_ids
+ X = self.train_features_df[self.train_features_df.index.isin(contrib_id_list)]
+ dist_train_train = pairwise_distances(X, metric='euclidean')
+ # Add some tolerance around the mean value
+ dist_train_train_std = np.mean(dist_train_train) + np.std(dist_train_train)
+ if dist_test_train < dist_train_train_std:
+ case.append('caseA')
+ caseA = caseA + 1
+ else:
+ case.append('caseB')
+ caseB = caseB +1
+ df['case_features'] = case
+ print('case-A', caseA)
+ print('case-B', caseB)
+ self.df = df.copy()
+
+ def evaluate_cases(self):
+ df = self.df
+ accurate = []
+ inaccurate = []
+ case1a = []
+ case1b = []
+ case2a = []
+ case2b = []
+ case3a = []
+ case3b = []
+ for id_ in df.index:
+ error = df.at[id_, 'error']
+ if abs(error) < self.t_error:
+ accurate.append(id_)
+ if abs(error) > self.t_error:
+ inaccurate.append(id_)
+
+ case_r = df.at[id_, 'case_residuals']
+ case_f = df.at[id_, 'case_features']
+ if ((case_r == 'case1') and (case_f == 'caseA')) :
+ case1a.append(id_)
+ if ((case_r == 'case1') and (case_f == 'caseB')) :
+ case1b.append(id_)
+ if ((case_r == 'case2') and (case_f == 'caseA')) :
+ case2a.append(id_)
+ if ((case_r == 'case2') and (case_f == 'caseB')) :
+ case2b.append(id_)
+ if ((case_r == 'case3') and (case_f == 'caseA')) :
+ case3a.append(id_)
+ if ((case_r == 'case3') and (case_f == 'caseB')) :
+ case3b.append(id_)
+ print("# accurate predictions", len(accurate))
+ print("# inaccurate predictions", len(inaccurate))
+ print("# case-I-A", len(case1a))
+ print("# case-I-B", len(case1b))
+ print("# case-II-A", len(case2a))
+ print("# case-II-B", len(case2b))
+ print("# case-III-A", len(case3a))
+ print("# case-III-B", len(case3b))
+
+ def skyline(self):
+ """
+ Skyline plot of nearest neighbors
+ """
+ print('Plotting nearest neighbors...')
+ df = self.df
+ plt.figure(figsize=(20., 4))
+ plt.plot([10, 53], [0, 0], linewidth=0.2,
+ color='k', linestyle='-')
+ plt.title(f'Skyline with ozone values, {self.model_type}')
+ for id_ in df.index:
+ contribs = df.at[id_, 'contribs']
+ contrib_dists = df.at[id_, 'contrib_dists']
+ pred = [df.at[id_, 'pred_o3']] * len(contribs)
+ s = [x*300 for x in contribs]
+ plt.scatter(pred, contrib_dists, s=s, color='k',
+ marker='.', linewidths=0.)
+ plt.savefig(settings.output_dir +
+ f'nearest_neighbor_skyline_{self.model_type}_o3.png',
+ dpi=1000)
+ plt.close()
+
+
+if __name__ == '__main__':
+ """
+ Start a visualization
+ """
+ #nene = NearestNeighbor('rf', 'egu_pruned_rf/')
+ nene = NearestNeighbor('nn', 'egu_pruned_nn_scale_targets_true/')
+ nene.read_raw_data()
+ nene.prepare_data()
+ #nene.read_data_from_pickle()
+ #nene.skyline()
+ nene.compare_residuals()
+ nene.compare_distance_feature_space()
+ nene.evaluate_cases()
+ #pdb.set_trace()
+ nene.pickle_data()
+
+
+"""plt.figure(figsize=(20., 4))
+plt.plot([-20, 20], [0, 0], linewidth=0.2, color='k', linestyle='-')
+for id_ in df.index:
+ contribs = df.at[id_, 'contribs']
+ # idx = np.argmax(np.array(contribs))
+ contribs = df.at[id_, 'contribs']# [idx]
+ contrib_dists = df.at[id_, 'contrib_dists']# [idx]
+ error = [df.at[id_, 'error']] * len(contribs)
+ s = [x*300 for x in contribs]
+ plt.scatter(error, contrib_dists, s=s, marker='.', linewidths=0.)
+plt.savefig(settings.output_dir+'nearest_neighbor_skyline.png', dpi=1000)
+plt.close()"""
+
+"""plt.figure(figsize=(20., 4))
+plt.plot([-20, 20], [0, 0], linewidth=0.2, color='k', linestyle='-')
+for id_ in df.index:
+ contribs = df.at[id_, 'contribs']
+ # idx = np.argmax(np.array(contribs))
+ contribs = df.at[id_, 'contribs']# [idx]
+ contrib_dists = df.at[id_, 'contrib_dists']# [idx]
+ error = [df.at[id_, 'error']] * len(contribs)
+ s = [x*300 for x in contribs]
+ plt.scatter(error, contrib_dists, s=s, marker='.', linewidths=0.)
+ plt.xlim((-5, 5))
+plt.savefig(settings.output_dir+'nearest_neighbor_skyline_detail.png', dpi=1000)
+plt.close()"""
+
+
diff --git a/source/experiments/shap.py b/source/experiments/our_shap.py
similarity index 89%
rename from source/experiments/shap.py
rename to source/experiments/our_shap.py
index 5794cdba5664cf679beefd2cf3c98c65e2cc7e1b..bce31b6dc467139e8913dc70b904f22b0122ac6a 100755
--- a/source/experiments/shap.py
+++ b/source/experiments/our_shap.py
@@ -150,7 +150,7 @@ def shap_nn(folder, data='stations', n_indices_train=None, n_indices_test=None,
with open(settings.model_database_dir + folder + '/shap_values.pkl', 'wb') as file:
pickle.dump(dictionary, file)
- return dictionary
+ return dictionary, nn, explainer
def shap_rf(folder, data='stations', n_indices=None):
@@ -203,3 +203,25 @@ def interaction_rf(folder, data='stations', n_indices=None):
pickle.dump(dictionary, file)
return dictionary
+
+def calculate_shap_values(model, model_dir):
+ # saves shap values as pkl file
+ if model == 'nn':
+ # run shap calculation
+ dictionary = shap_nn(folder=model_dir,
+ data='stations')
+
+ shap_values = dictionary['shap_values']
+ train_df = dictionary['train_df']
+ test_df = dictionary['test_df']
+
+ if model == 'rf':
+ # run shap calculation
+ dictionary = shap_rf(folder=model_dir,
+ data='stations')
+
+ shap_values = dictionary['shap_values']
+ test_df = dictionary['test_df']
+
+if __name__ == "___main___":
+ calculate_shap_values('nn', 'ladida_egu_pruned_nn_scale_targets_true')
diff --git a/source/experiments/shap_plots.py b/source/experiments/shap_plots.py
index d5f8c5ece26dc1f44bf77933c05ae6186397e6f8..b199ef7c506891aa3ccd43107914072eb93f244c 100755
--- a/source/experiments/shap_plots.py
+++ b/source/experiments/shap_plots.py
@@ -5,45 +5,91 @@
4) Benutzung: fp = force_plot(<id>)
"""
-
+import os
import shap
import pickle as pkl
import pdb
import settings
import numpy as np
import pandas as pd
+import pickle
+import preprocessing.data
-def force_plot(id=3336):
+def force_plot(id, model_dir):
"""
A force plot of a given station.
"""
# read in files and prepare data
- shap_file = settings.model_database_dir + '/egu_pruned_nn/' + \
- 'shap_values.pkl'
-
+ shap_file = settings.model_database_dir + \
+ model_dir + '/shap_values.pkl'
+ path = settings.model_database_dir + \
+ model_dir + '/data_scalers/'
+ pred_file = settings.model_database_dir + \
+ model_dir + '/o3_predictions.csv'
+ if not os.path.isfile(shap_file):
+ print('Shap file not found!', shap_file)
+ print('Calculate shap values in a Jupyter notebook with \n' +
+ 'from experiments.our_shap import calculate_shap_values \n' +
+ 'calculate_shap_values(model, model_dir) \n'+
+ 'model can be "nn" or "rf". '+
+ 'This might take a couple of hours.')
+
+ if not os.path.isfile(pred_file):
+ print('o3_predictions.csv file not found!', pred_file)
+ print('Calculate o3_predictions in a Jupyter notebook with \n' +
+ '[IMPORT] \n' +
+ '[FUNCTION]\n'+
+ 'Details. '+
+ 'This might take a couple of seconds.')
+
with open(shap_file, 'rb') as shap_file:
dictionary = pkl.load(shap_file)
shap_values = dictionary['shap_values']
train_df = dictionary['train_df']
test_df = dictionary['test_df']
-
+
+
shap_df = pd.DataFrame(data=shap_values,
index=test_df.index,
columns=test_df.columns)
-
-
- # now find base rate (mean of all predictions)
+
+ # load scalers
+ files = os.listdir(path)
+ loaded_scalers = {}
+ for file in files:
+ loaded_scalers[file[:-4]] = pickle.load(open(f'{path}{file}', 'rb'))
+
+ # now find base rate (mean of training dataset)
aqb = pd.read_csv(settings.resources_dir +
settings.AQbench_dataset_file)
- base_value = np.mean(aqb['o3_average_values'])
+ observed_o3 = aqb[aqb['dataset'].isin(['train'])]
+ base_value = np.mean(observed_o3['o3_average_values'])
# get shap values of one station
shap_values = np.array(shap_df.loc[id])
# get features and feature names
features = np.array(test_df.loc[id]).round(decimals=1)
- feature_names = [name[:5] for name in test_df.columns]
-
+ feature_names = [name for name in test_df.columns]
+ feature_shortnames = [name[:4] for name in test_df.columns]
+
+ #pdb.set_trace()
+ # Inverse scaling for the plot
+ # features_dic is needed for inverse_transform of single values
+ features_dic = dict(zip(feature_names, features))
+ for ftrs in feature_names:
+ if ftrs in loaded_scalers.keys():
+ features_dic[ftrs] = loaded_scalers[ftrs].inverse_transform([features_dic[ftrs]])[0]
+
+ #if mlmodel == 'nn':
+ # for ftrs in features_dic.keys():
+ # print(ftrs, features_dic[ftrs].round(decimals=1))
+
+
+ unscaled_features = np.array(list(features_dic.values())).round(decimals=1)
+
+
+
# target
out_names = 'O3 average values'
@@ -53,22 +99,69 @@ def force_plot(id=3336):
# plot
p = shap.plots.force(base_value=base_value,
shap_values=shap_values,
- features=features,
- feature_names=feature_names,
+ features=unscaled_features,
+ feature_names=feature_shortnames,
out_names=out_names,
matplotlib=True,
plot_cmap='coolwarm_r',
show=False,
)
- p.savefig(settings.output_dir + 'shap_plot.png',
+ p.savefig(settings.output_dir + model_dir.replace('/', '_') + 'shap_plot.png',
bbox_inches='tight', pad_inches=0.)
+ return base_value
- return p
-
+def calculate_base_value_by_hand(id, model_dir):
+ """
+ Due to issues with the base_value for the neural network,
+ the idea is to reverse engineer the base_value.
+ This function does so.
+ """
+ shap_file = settings.model_database_dir + \
+ model_dir + 'shap_values.pkl'
+ with open(shap_file, 'rb') as shap_file:
+ dictionary = pkl.load(shap_file)
+ shap_values = dictionary['shap_values']
+ train_df = dictionary['train_df']
+ test_df = dictionary['test_df']
+
+
+ shap_df = pd.DataFrame(data=shap_values,
+ index=test_df.index,
+ columns=test_df.columns)
+ # get shap values of one station
+ shap_values = np.array(shap_df.loc[id])
+ # get predicted value of one station
+ pred_file = settings.model_database_dir + \
+ model_dir + 'o3_predictions.csv'
+ predictions = pd.read_csv(settings.model_database_dir +
+ model_dir + '/o3_predictions.csv')
+ predictions = predictions.set_index('id')
+ pred_value = predictions.loc[id]['prediction_unscaled'] # scalar
+ re_base_value = pred_value - np.sum(shap_values)
+ return re_base_value
+
+def compare_all_base_values(model_dir):
+ predictions = pd.read_csv(settings.model_database_dir +
+ model_dir + '/o3_predictions.csv')
+ predictions = predictions.set_index('id')
+ list_all_values = []
+ for ind in predictions.index:
+ print(ind)
+ re_base_value = calculate_base_value_by_hand(ind, model_dir)
+ print("Station ID and reversed engineered base_value: ", ind, re_base_value)
+ list_all_values.append(re_base_value)
+
+
+
if __name__ == '__main__':
"""
Create a test force plot
"""
- force_plot()
+ base_value = force_plot(3336, 'egu_pruned_nn_scale_targets_true/')
+ rev = calculate_base_value_by_hand(3336, 'egu_pruned_nn_scale_targets_true/')
+ print("Base value according to training:", base_value)
+ print("Reversed engineered value:", rev)
+
+ compare_all_base_values('egu_pruned_nn_scale_targets_true/')
diff --git a/source/experiments/testerror_visualization.py b/source/experiments/testerror_visualization.py
new file mode 100644
index 0000000000000000000000000000000000000000..100e4a95e82f9adb19d2db613e0f3cb76ca61416
--- /dev/null
+++ b/source/experiments/testerror_visualization.py
@@ -0,0 +1,175 @@
+import os
+import pdb
+
+import numpy as np
+import pandas as pd
+import xarray as xr
+import matplotlib.pyplot as plt
+import cartopy.crs as ccrs
+import cartopy
+
+
+import settings
+
+
+__author__ = 'Scarlet Stadtler'
+
+def prepare_dataframe(nnmodel, rfmodel):
+ """ Merge the observed_O3 with the predicted O3 for NN and RF
+ along station ID as index.
+ We do not know why, but the observations include 5 more
+ test staions than the predictions. Thus, these 5 stations are
+ removed by pd.merge() along the station ID.
+
+ returns: pandas dataframe with ID, predictions and
+ o3_average_values and their differences"""
+
+ if not os.path.isfile(settings.model_database_dir +
+ nnmodel + '/o3_predictions.csv'):
+ print('NN o3 predictions file not found!',
+ settings.model_database_dir +
+ nnmodel + '/o3_predictions.csv')
+ print('Calculate o3_predictions.csv with \n' +
+ 'Jupter Notebook save_o3_predictions_as_csv.ipynb\n' +
+ 'Just run the notebook.')
+
+ if not os.path.isfile(settings.model_database_dir +
+ rfmodel + '/o3_predictions.csv'):
+ print('RF o3 predictions file not found!',
+ settings.model_database_dir +
+ rfmodel + '/o3_predictions.csv')
+ print('Calculate o3_predictions.csv with \n' +
+ 'Jupter Notebook save_o3_predictions_as_csv.ipynb\n' +
+ 'Just run the notebook.')
+
+ # Prepare predictions dataframes
+ nn_predictions = pd.read_csv(settings.model_database_dir +
+ nnmodel + '/o3_predictions.csv')
+ #nn_predictions = nn_predictions.drop(['prediction_scaled'], axis=1)
+ nn_predictions = nn_predictions.set_index('id')
+ nn_predictions = nn_predictions.rename(columns={"prediction_unscaled":"nn_prediction"})
+
+ rf_predictions = pd.read_csv(settings.model_database_dir +
+ rfmodel + '/o3_predictions.csv')
+ rf_predictions = rf_predictions.set_index('id')
+ rf_predictions = rf_predictions.rename(columns={"prediction_unscaled":"rf_prediction"})
+
+ # Prepare observations dataframe
+ aqb = pd.read_csv(settings.resources_dir +
+ settings.AQbench_dataset_file)
+ observed_o3 = aqb[aqb['dataset'].isin(['test'])]
+ observed_o3 = observed_o3.loc[:, ['id', 'o3_average_values']]
+ observed_o3 = observed_o3.set_index('id')
+
+ # Merge both dataframes to one, drop 5 entried from observed_o3
+ ozone_values = pd.merge(observed_o3, nn_predictions,
+ left_index=True, right_index=True)
+ ozone_values = pd.merge(ozone_values, rf_predictions,
+ left_index=True, right_index=True)
+
+ # Add another column with the differences
+ ozone_values['nn_delta'] = ozone_values['o3_average_values'] - \
+ ozone_values['nn_prediction']
+ ozone_values['rf_delta'] = ozone_values['o3_average_values'] - \
+ ozone_values['rf_prediction']
+
+ return ozone_values
+
+
+def plot_histograms(values, mlmodel):
+ """ Plotting routine to compare three histograms by showing them side
+ by side.
+ mlmodel: string "nn" or "rf"
+ returns: nothing, only plotting """
+ plt.style.use('seaborn-darkgrid')
+ fig, ax = plt.subplots(1, 3, figsize=(9, 3), sharey=True)
+ ax[0].hist(values['o3_average_values'])
+ ax[0].grid(True)
+ ax[0].set_ylim(0, 500)
+ ax[0].set_xlim(0, 60)
+ ax[0].set_title('Observed O3')
+
+ ax[1].hist(values[mlmodel +'_prediction'])
+ ax[1].grid(True)
+ ax[1].set_ylim(0, 500)
+ ax[1].set_xlim(0, 60)
+ ax[1].set_title(mlmodel.upper() + ' predicted O3')
+
+ ax[2].hist(values[mlmodel +'_delta'])
+ ax[2].grid(True)
+ ax[2].set_ylim(0, 500)
+ ax[2].set_title(mlmodel.upper() + ' Residuals (errors) in ppb')
+ plt.savefig(settings.output_dir+mlmodel+'_average_ozone_histograms.png')
+ plt.close()
+
+
+def plot_scatter(values, mlmodel):
+ """ Simple scatter plot comparing observed ozone and predicted
+ ozone.
+ mlmodel: string "nn" or "rf"
+ """
+ #plt.style.use('seaborn-darkgrid')
+ plt.xlabel('true average ozone [ppb]')
+ plt.ylabel(mlmodel.upper() + 'predicted average ozone on test set [ppb]')
+ plt.xlim(0, 60)
+ plt.ylim(0, 60)
+ plt.scatter(x=values['o3_average_values'], y=values[mlmodel+'_prediction'], s=15, alpha=0.3, linewidths=1)
+ plt.plot([0, 60], [0, 60], '--', c='navy', alpha=0.2, lw=1,label='1:1 line')
+ plt.legend()
+ plt.title(mlmodel.upper() + ' vs. Observation')
+ plt.savefig(settings.output_dir+mlmodel+'_average_ozone_scatterplot.png')
+ plt.close()
+
+def plot_error_scatter(values):
+ """Simple scatter plot to compare the errors of RF and NN
+ Inputs: values is a dataframe containing the errors of RF and NN
+ Retuns: nothing, only plots
+ """
+ #plt.style.use('seaborn-darkgrid')
+ plt.xlabel('RF residuals on test set [ppb]')
+ plt.ylabel('NN residuals on test set [ppb]')
+ plt.xlim(-20, 20)
+ plt.ylim(-20, 20)
+ plt.scatter(x=values['rf_delta'], y=values['nn_delta'], s=15, alpha=0.3, linewidths=1)
+ plt.plot([-20, 20], [-20, 20], '--', c='navy', alpha=0.2, lw=1,label='1:1 line')
+ plt.legend()
+ plt.title('RF residuals vs. NN resiuduals')
+ plt.savefig(settings.output_dir+'residuals_scatterplot.png')
+ plt.close()
+
+def plot_error_on_map(values, mlmodel):
+ """
+ Map plot with residuals. Nor working!
+ """
+ aqb = pd.read_csv(settings.resources_dir +
+ settings.AQbench_dataset_file)
+ coordinates = aqb[aqb['dataset'].isin(['test'])]
+ coordinates = coordinates.loc[:, ['id', 'lat', 'lon']]
+ coordinates = coordinates.set_index('id')
+ ozone_values = pd.merge(coordinates, values,
+ left_index=True, right_index=True)
+ plt.style.use('seaborn-darkgrid')
+ ax = plt.axes(projection=ccrs.PlateCarree())
+ ax.coastlines()
+ #plt.scatter(x=ozone_values.lon, y=ozone_values.lat,
+ # color="dodgerblue",
+ # s=1,
+ # alpha=0.5,
+ # transform=crs.PlateCarree()) ## Important
+ #im = ax.imshow(ozone_values[mlmodel+'_prediction'], origin='upper',
+ # transform=cartopy.crs.PlateCarree(),
+ # extent=[min(ozone_values.lon), max(ozone_values.lon),
+ # min(ozone_values.lat), max(ozone_values.lat)])
+ plt.savefig(settings.output_dir+'map_scatterplot.png')
+ plt.close()
+
+
+
+if __name__ == '__main__':
+ average_ozone = prepare_dataframe('egu_pruned_nn_scale_targets_true','egu_pruned_rf')
+ #plot_histograms(average_ozone, 'rf')
+ #plot_histograms(average_ozone, 'nn')
+ #plot_scatter(average_ozone, 'rf')
+ #plot_scatter(average_ozone, 'nn')
+ plot_error_scatter(average_ozone)
+ #plot_error_on_map(average_ozone, 'nn')
diff --git a/source/experiments/train_on_reduced_dataset.py b/source/experiments/train_on_reduced_dataset.py
new file mode 100644
index 0000000000000000000000000000000000000000..2ed0c9bc11d529507584f70ba15bad74c5a737a1
--- /dev/null
+++ b/source/experiments/train_on_reduced_dataset.py
@@ -0,0 +1,256 @@
+"""
+Our experiments have shown that there exist important and
+unimportant stations in the AQ-Bench dataset.
+Here we see what happens if we discard the unimportant ones.
+"""
+
+# general
+import os
+import pdb
+
+# data science
+import numpy as np
+import pandas as pd
+
+# plotting
+import matplotlib.pyplot as plt
+import cartopy
+import cartopy.crs as ccrs
+import cartopy.feature as cfeature
+
+# own package
+import settings
+from preprocessing.data_for_clustering import DataForClustering
+from experiments.nearest_neighbors_activations import NearestNeighbor
+from models.random_forest import RandomForest
+from models.neural_network import NeuralNetwork
+
+
+__author__ = 'Clara Betancourt'
+
+
+class RedAQbench:
+ """
+ A class for training on a reduced dataset
+ """
+ def __init__(self, model):
+ """
+ Initialize the class.
+ """
+ print(f'Initialize RedAQB with {model}')
+ self.model = model
+ self.aqb = pd.read_csv(settings.resources_dir +
+ settings.AQbench_dataset_file,
+ index_col='id')
+
+ def find_unimportant_stations(self):
+ """
+ Read in the nene dataset, then check if there are unimportant
+ entries
+ """
+ print('Find unimportant stations...')
+ # a df with all contribs
+ dfc = DataForClustering()
+ dfc.get_data(how='read')
+ df_template = dfc.data['rf_activations']
+
+ if self.model == 'rf':
+ df = df_template
+ elif self.model == 'nn':
+ df = pd.DataFrame(index=df_template.index,
+ columns=df_template.columns,
+ data=df_template.values*0.)
+ # We need the nearest neighbors.
+ nene = NearestNeighbor('nn', 'egu_pruned_nn_scale_targets_true/')
+ nene.read_data_from_pickle()
+ # Todo: make sure that the contribs and the ids are in
+ # the right order.
+ for index, row in nene.df.iterrows():
+ test_id = index
+ train_ids = row.contrib_ids
+ contribs = row.contribs
+ for idx, train_id in enumerate(train_ids):
+ df.at[test_id, train_id] = contribs[idx]
+
+ # sum all contributions of all predictions
+ df.loc['total'] = df.sum(axis=0)
+ total_contribs = df.loc['total', :]
+
+ # a histogram of the contributions
+ if True:
+ plt.hist(total_contribs, bins=100)
+ plt.xlabel('Sum of contributions over test set')
+ plt.ylabel('Number of stations with that contribution sum in training set')
+ plt.savefig(settings.output_dir+f'red_aqb_contrib_hist_{self.model}.png')
+ plt.close()
+
+ # 10th percentile for least important stations
+ threshold = np.percentile(total_contribs, 10)
+ unimportant_ids = total_contribs[total_contribs<threshold].index
+ self.unimportant_ids = list(unimportant_ids)
+
+ def plot_unimportant_ids_on_map(self):
+ """
+ A map plot of unimportant stations
+ """
+ lons = self.aqb['lon'].loc[self.unimportant_ids]
+ lats = self.aqb['lat'].loc[self.unimportant_ids]
+
+ # plot the map
+ ax = plt.axes(projection=ccrs.PlateCarree())
+ ax.set_extent([-140, 154, -57, 84],
+ crs=ccrs.PlateCarree())
+ ax.set_facecolor('black')
+ ax.add_feature(cartopy.feature.LAND.with_scale('50m'),
+ color='dimgray', alpha=0.7, linewidths=0.,
+ zorder=1)
+ plt.scatter(lons, y=lats, c='r', zorder=3,
+ marker='X', lw=0.03, edgecolors='white',
+ s=3, transform=ccrs.PlateCarree())
+ plt.savefig(settings.output_dir +
+ f'red_aqb_map_{self.model}.png',
+ bbox_inches='tight', pad_inches=0, dpi=500)
+ plt.close()
+
+ def train_on_important_data(self):
+ """
+ Let's see how the performance drops.
+ """
+ print('Train reference and reduced...')
+ ref_model_dir = f'reference_{self.model}/' #Scarlet ??
+ red_model_dir = f'reduced_{self.model}/' #Scarlet ??
+ if self.model == 'rf':
+ Model = RandomForest
+ elif self.model == 'nn':
+ Model = NeuralNetwork
+
+ # Train reference
+ ref_model = Model(output_folder=ref_model_dir)
+ ref_model.run_training(inputs='egu_pruned',
+ targets=['o3_average_values'],
+ plot=False)
+
+ # Save the original aqb
+ os.rename(settings.resources_dir+settings.AQbench_dataset_file,
+ settings.resources_dir+settings.AQbench_dataset_file+'_orig')
+
+ # Drop unimportant stations from aqb, then save it
+ red_aqb = self.aqb.drop(self.unimportant_ids)
+ red_aqb.to_csv(settings.resources_dir +
+ settings.AQbench_dataset_file)
+
+ # Train on red aqb
+ red_model = Model(output_folder=red_model_dir)
+ red_model.run_training(inputs='egu_pruned',
+ targets=['o3_average_values'],
+ plot=False)
+
+ # Put the aqb back where it belongs
+ os.rename(settings.resources_dir+settings.AQbench_dataset_file+
+ '_orig',
+ settings.resources_dir+settings.AQbench_dataset_file)
+
+ # set reduced aqb as class var
+ self.red_aqb = red_aqb
+
+
+def training_experiment():
+ """
+ Training on the reduced datasets
+ """
+ print('Conduct training experiment on reduced AQBench')
+ raqbs = {}
+ for model in ['rf', 'nn']:
+ raqb = RedAQbench(model)
+ raqb.find_unimportant_stations()
+ raqb.plot_unimportant_ids_on_map()
+ raqb.train_on_important_data()
+ raqbs[model] = raqb
+
+ # RF
+ # Reference
+ # mse(test): 19.8935
+ # mae(test): 3.3032
+ # r2(test): 53.0299
+
+ # Reduced
+ # mse(test): 20.1962
+ # mae(test): 3.3438
+ # r2(test): 52.3152
+
+ # NN
+ # Reference
+ # mse(test): 21.028900146484375
+ # mae(test): 3.4154999256134033
+ # r2(test): 50.3493
+
+ # Reduced
+ # mse(test): 22.257200241088867
+ # mae(test): 3.5109000205993652
+ # r2(test): 47.4491
+
+
+def compare_unimportant_stations():
+ """
+ Comparing dataset reductions
+ """
+ print('Compare unimportant stations for RF and NN')
+ # find the ids
+ raqbs = {}
+ for model in ['rf', 'nn']:
+ raqb = RedAQbench(model)
+ raqb.find_unimportant_stations()
+ raqbs[model] = raqb
+ nn_u_ids = raqbs['nn'].unimportant_ids
+ rf_u_ids = raqbs['rf'].unimportant_ids
+ intersect_ids = [id_ for id_ in nn_u_ids if id_ in rf_u_ids]
+ only_nn_ids = [id_ for id_ in nn_u_ids if not id_ in rf_u_ids]
+ only_rf_ids = [id_ for id_ in rf_u_ids if not id_ in nn_u_ids]
+
+ # plot preparation
+ ax = plt.axes(projection=ccrs.PlateCarree())
+ ax.set_extent([-140, 154, -57, 84],
+ crs=ccrs.PlateCarree())
+ ax.add_feature(cartopy.feature.LAND.with_scale('50m'),
+ color='dimgray', alpha=0.7, linewidths=0.,
+ zorder=1)
+ ax.set_facecolor('black')
+ specs = [
+ ('only nn', 'lightcoral', only_nn_ids, 2),
+ ('only rf', 'cornflowerblue', only_rf_ids, 2),
+ ('both', 'mediumorchid', intersect_ids, 3)
+ ]
+ aqb = pd.read_csv(settings.resources_dir +
+ settings.AQbench_dataset_file,
+ index_col='id')
+
+ for label, color, ids, zorder in specs:
+ print(f'found {len(ids)} of {label}:')
+ print(ids)
+
+ # plot the map
+ lons = aqb['lon'].loc[ids]
+ lats = aqb['lat'].loc[ids]
+
+ plt.scatter(lons, y=lats, c=color, zorder=zorder,
+ marker='X', lw=0.03, edgecolors='white',
+ s=4.5, transform=ccrs.PlateCarree(), label=label)
+
+ # Finalize plot
+ plt.legend(fontsize=4)
+ plt.savefig(settings.output_dir +
+ f'red_aqb_map_compare.png',
+ bbox_inches='tight', pad_inches=0, dpi=1000)
+ plt.close()
+
+ # found 154 of only nn
+ # found 153 of only rf
+ # found 181 of both
+ pdb.set_trace()
+
+if __name__ == '__main__':
+ """
+ Conduct the experiment.
+ """
+ training_experiment()
+ compare_unimportant_stations()
diff --git a/source/models/neural_network.py b/source/models/neural_network.py
index ee334461fee04f8057e2c51265ca64f374331086..f5b2a4094a959f931f884631bbc9f05bffe4eefb 100755
--- a/source/models/neural_network.py
+++ b/source/models/neural_network.py
@@ -2,6 +2,7 @@
from datetime import datetime
import csv
import copy
+import pdb
# data science
import numpy as np
@@ -16,7 +17,7 @@ from tqdm.auto import tqdm
from settings import *
from models.model import Model
-__author__ = 'Timo Stomberg'
+__author__ = 'Timo Stomberg, Clara Betancourt'
class TorchModel(nn.Module):
@@ -53,42 +54,6 @@ class TorchModel(nn.Module):
return x
-"""
-class TorchModelMulti(nn.Module):
-
- def __init__(self, num_input, num_output):
-
- super().__init__()
-
- self.num_output = num_output
-
- self.encoder1 = nn.Linear(num_input, 20)
- self.encoder2 = nn.Linear(20, 5)
-
- self.decoders1 = []
- self.decoders2 = []
- self.decoders3 = []
- for i in range(self.num_output):
- self.decoders1.append(nn.Linear(5, 10))
- self.decoders2.append(nn.Linear(10, 5))
- self.decoders3.append(nn.Linear(5, 1))
-
- def forward(self, x):
-
- x = F.relu(self.encoder1(x))
- x = F.relu(self.encoder2(x))
- encoded_x = x
-
- decoded_x = torch.Tensor()
- for i in range(self.num_output):
- x = F.relu(self.decoders1[i](encoded_x))
- x = F.relu(self.decoders2[i](x))
- x = self.decoders3[i](x)
- decoded_x = torch.cat((decoded_x, x), dim=1)
-
- return decoded_x
-"""
-
class NeuralNetwork(Model):
"""
@@ -428,7 +393,57 @@ class NeuralNetwork(Model):
bbox_inches='tight', dpi=180)
-if __name__ == '__main__':
+def train_one_nn():
+ """
+ Train an arbitrary NN on AQ-Bench.
+ """
model = NeuralNetwork()
model.run_training(inputs='gridded_data', targets=['o3_average_values'])
model.run_prediction()
+
+
+def tune_hyper_parameters():
+ """
+ Search a certain space for optimal hyper parameters.
+ """
+ learning_rates = [1.e-3, 1.e-4, 1.e-5]
+ lambdas = [1.e-2]
+ batch_sizes = [512, 1024, 9999]
+ epochs = [300, 400, 500, 600]
+
+ specs = [(learning_rate, lambda_, batch_size, epoch)
+ for learning_rate in learning_rates
+ for lambda_ in lambdas
+ for batch_size in batch_sizes
+ for epoch in epochs]
+
+ eval_list = []
+ folder_list = []
+
+ for learning_rate, lambda_, batch_size, epoch in specs:
+ model = NeuralNetwork(learning_rate=learning_rate,
+ l2=lambda_,
+ batch_size=batch_size,
+ epochs=epoch)
+ model.run_training(inputs='egu_pruned',
+ targets=['o3_average_values'],
+ scale_targets=True)
+ eval_dict = model.eval['val']['o3_average_values']
+ eval_list.append(eval_dict)
+ folder_list.append(model.output_dir)
+ print('\n\n\n')
+ print(model.output_dir)
+ print(f'learning_rate:', learning_rate)
+ print(f'epoch:', epoch)
+ print('batch_size:', batch_size)
+ print(eval_dict)
+ print('\n\n\n')
+ pdb.set_trace()
+
+
+if __name__ == '__main__':
+ """
+ Train a model or tune hyper parameters.
+ """
+ train_one_nn()
+ # tune_hyper_parameters()
diff --git a/source/postprocessing/leaf_map.py b/source/postprocessing/leaf_map.py
new file mode 100644
index 0000000000000000000000000000000000000000..f3128e9905915cb7c0e1eca699de94e15f9f1379
--- /dev/null
+++ b/source/postprocessing/leaf_map.py
@@ -0,0 +1,88 @@
+import cartopy
+import cartopy.crs as ccrs
+import cartopy.feature as cfeature
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import pdb
+
+import settings
+from experiments.RF_activation_visualization import RFActVis
+
+def leaf_plot(station_id):
+ """
+ Plot the leaf activations and the corresponding target station.
+ """
+ randomforest_model = 'egu_pruned_rf/'
+ o3_min = 15.
+ o3_max = 40.
+ extent = [-140, 154, -57, 84] # We do not plot the whole world to avoid black areas
+
+ rfav = RFActVis(randomforest_model, print_=False)
+ rfav.load_data_and_model()
+ rfav.find_leaf_train_set()
+
+ rfav.find_leaf_test_set(station_id=station_id)
+ rfav.get_all_leaf_stations(station_id=station_id)
+ rfav.calc_contributions()
+ rf_activations, target_station = rfav.prepare_plotting(station_id=station_id)
+ #pdb.set_trace()
+
+ print('Plot map...')
+ # map
+ ax = plt.axes(projection=ccrs.PlateCarree())
+ ax.set_extent(extent, crs=ccrs.PlateCarree())
+ ax.set_facecolor('black')
+ ax.add_feature(cartopy.feature.LAND.with_scale('50m'),
+ color='dimgray', alpha=0.7, linewidths=0., zorder=1)
+
+ my_s = rf_activations.contribution*200
+ plt.scatter(rf_activations.lon, y=rf_activations.lat, c=rf_activations.o3_average_values,
+ marker='o', linewidths=0., #, edgecolors='black',
+ s=my_s, transform=ccrs.PlateCarree(), zorder=10,
+ vmin=o3_min, vmax=o3_max)
+ plt.scatter(target_station.lon, y=target_station.lat, c=target_station.o3_average_values,
+ marker='*', linewidths=0.15, edgecolors='red',
+ s=6, transform=ccrs.PlateCarree(), zorder=11,
+ vmin=o3_min, vmax=o3_max)
+ # plt.colorbar()
+ # plt.title('O3 average values')
+ plt.savefig(settings.output_dir + str(station_id) +'_leaf_map_beautiful.png',
+ bbox_inches='tight', pad_inches=0, dpi=1000)
+ plt.close()
+
+ print('Plot colorbar...')
+ fig, ax = plt.subplots(1, 1)
+ fig.patch.set_facecolor('black')
+ #ax.patch.set_facecolor('black')
+
+ ax = plt.axes(projection=ccrs.PlateCarree())
+ ax.set_extent(extent, crs=ccrs.PlateCarree())
+ ax.set_facecolor('black')
+ my_s = rf_activations.contribution*100
+ im = plt.scatter(rf_activations.lon, y=rf_activations.lat, c=rf_activations.o3_average_values,
+ marker='o', linewidths=0., #, edgecolors='black',
+ s=my_s, transform=ccrs.PlateCarree(), zorder=10,
+ vmin=o3_min, vmax=o3_max)
+ im.axes.tick_params(color='white', labelcolor='white')
+ cb = plt.colorbar(im)
+ cb.set_label(r'O$_3$ [ppb]', color='white', fontsize=15,
+ labelpad =-13, rotation=0, y=-0.05)
+ cb.ax.yaxis.set_tick_params(color='white')
+ cb.outline.set_edgecolor('white')
+
+ plt.legend(facecolor = 'black', labelcolor='white', *im.legend_elements("sizes", num=6))
+ leg = ax.get_legend()
+ leg.legendHandles[0].set_color('white')
+ leg.legendHandles[1].set_color('white')
+
+ plt.setp(plt.getp(cb.ax.axes, 'yticklabels'),
+ color='white', fontsize=15)
+ plt.savefig(settings.output_dir +
+ str(station_id) +'_leaf_map_colorbar.png', dpi=200)
+ plt.close()
+
+
+if __name__ == '__main__':
+ station_id = 8756#6952
+ leaf_plot(station_id)
diff --git a/source/postprocessing/t_sne.py b/source/postprocessing/t_sne.py
new file mode 100644
index 0000000000000000000000000000000000000000..a9e69961c33a1365cac8cfec1e01ea501996f0df
--- /dev/null
+++ b/source/postprocessing/t_sne.py
@@ -0,0 +1,81 @@
+# General
+import os
+import pdb
+
+# Data science
+import pandas as pd
+from sklearn.manifold import TSNE
+
+# Plotting
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Own package
+import settings
+from preprocessing.data_for_clustering import DataForClustering
+from preprocessing.data import DataForTraining
+
+__author__ = 'Clara Betancourt'
+
+
+class TSne():
+ """
+ A class for finding the T sne representation of data
+ """
+ def __init__(self, input_df):
+ """
+ Initialize...
+ """
+ print('Initializing TSne class...')
+ self.input_df = input_df
+
+ def tsne(self):
+ """
+ Find the representation.
+ """
+ print('Find representation...')
+ sk_tsne = TSNE(init='pca', random_state=settings.random_seed)
+ embedded = sk_tsne.fit_transform(self.input_df)
+ self.embedded_df = pd.DataFrame(data=embedded,
+ index=self.input_df.index,
+ columns=['x', 'y'])
+
+ def plot_representation(self, plot_name, hue=None):
+ """
+ An overview plot of the representation.
+ """
+ print('Plot representation...')
+ sns.set_style('darkgrid')
+ sns.scatterplot(data=self.embedded_df,
+ x='x',
+ alpha=.75,
+ y='y',
+ hue=hue).set(title='TSNE '+plot_name)
+ plt.savefig(settings.output_dir+'tsne_' + plot_name)
+ plt.close()
+
+
+if __name__ == '__main__':
+ """
+ Some tryouts.
+ """
+ dfc = DataForClustering()
+ dfc.get_data(how='read')
+ for key in dfc.data.keys():
+ print(f'TSNE for {key}')
+ df = dfc.data[key]
+ tsne = TSne(df)
+ tsne.tsne()
+ tsne.plot_representation(plot_name=key)
+
+ dft = DataForTraining(inputs='egu_pruned',
+ targets=['o3_average_values'],
+ scaling='robust')
+ df = pd.DataFrame(data=dft.x['train'])
+ tsne = TSne(df)
+ tsne.tsne()
+ tsne.plot_representation(plot_name='data_for_training')
+ pdb.set_trace()
+
+
+
diff --git a/source/postprocessing/visualizations.py b/source/postprocessing/visualizations.py
index 5d1346200255e658f24c7cdb43b5d14c8791bba5..c031bb7f9ab1ef2d8c56961657c7e88b9c5b25c2 100755
--- a/source/postprocessing/visualizations.py
+++ b/source/postprocessing/visualizations.py
@@ -1,5 +1,5 @@
"""
-This script is meant for the visualization of our final map.
+This script is meant for the visualization.
When I see the code gets too garbled, I will write a class instead.
"""
@@ -24,6 +24,7 @@ import cartopy.feature as cfeature
import settings
from models.neural_network import NeuralNetwork
from models.random_forest import RandomForest
+from experiments.nearest_neighbors_activations import NearestNeighbor
from preprocessing.datasplit_class import ClusterSplit
@@ -743,6 +744,73 @@ def plot_clusters():
plt.close()
+def skyline(model_type, model_dir):
+ """
+ Skyline plot of nearest neighbors
+ """
+ print('skyline plot...')
+ error_threshold = 5.
+
+ nene = NearestNeighbor(model_type, model_dir)
+ nene.read_data_from_pickle()
+ df = nene.df
+ plt.figure(figsize=(20., 4))
+ plt.plot([10, 53], [0, 0], linewidth=0.2,
+ color='k', linestyle='-')
+ plt.title(f'Skyline with ozone values, {nene.model_type}')
+ for id_ in df.index:
+ error = df.at[id_, 'error']
+ if error > error_threshold: c = 'b'
+ elif error < -1. * error_threshold: c = 'r'
+ else: continue # c = 'k'
+ contribs = df.at[id_, 'contribs']
+ contrib_dists = df.at[id_, 'contrib_dists']
+ pred = [df.at[id_, 'pred_o3']] * len(contribs)
+ s = [x*300 for x in contribs]
+ plt.scatter(pred, contrib_dists, s=s, color=c,
+ marker='.', linewidths=0.)
+ plt.savefig(settings.output_dir +
+ f'nearest_neighbor_skyline_{nene.model_type}_o3.png',
+ dpi=500)#1000)
+ plt.close()
+
+def skyline_cases(model_type, model_dir):
+ """
+ Skyline plot of nearest neighbors
+ """
+ print('skyline cases plot...')
+ error_threshold = 5.
+
+ nene = NearestNeighbor(model_type, model_dir)
+ nene.read_data_from_pickle()
+ df = nene.df
+ plt.figure(figsize=(20., 4))
+ plt.plot([10, 53], [0, 0], linewidth=0.2,
+ color='k', linestyle='-')
+ plt.title(f'Skyline with ozone values, {nene.model_type}')
+ for id_ in df.index:
+ error = df.at[id_, 'error']
+ case_r = df.at[id_, 'case_residuals']
+ case_f = df.at[id_, 'case_features']
+ if ((case_r == 'case1') and (case_f == 'caseA')) : c = 'tan'
+ if ((case_r == 'case1') and (case_f == 'caseB')) : c = 'lime'
+ if ((case_r == 'case2') and (case_f == 'caseA')) : c = 'navy'
+ if ((case_r == 'case2') and (case_f == 'caseB')) : c = 'plum'
+ if ((case_r == 'case3') and (case_f == 'caseA')) :
+ continue
+ if ((case_r == 'case3') and (case_f == 'caseB')) : c = 'dimgray'
+ contribs = df.at[id_, 'contribs']
+ contrib_dists = df.at[id_, 'contrib_dists']
+ pred = [df.at[id_, 'pred_o3']] * len(contribs)
+ s = [x*300 for x in contribs]
+ plt.scatter(pred, contrib_dists, s=s, color=c,
+ marker='.', linewidths=0.)
+ plt.savefig(settings.output_dir +
+ f'nearest_neighbor_cases_skyline_{nene.model_type}_o3.png',
+ dpi=500)#1000)
+ plt.close()
+
+
if __name__ == '__main__':
"""
Here all plotting routines cen be started
@@ -756,7 +824,8 @@ if __name__ == '__main__':
plot_area_of_applicability_ = False
error_model_visualisation_ = False
plot_expl_aoa_visualisation_ = False
- plot_clusters_ = True
+ plot_clusters_ = False
+ skyline_ = True
# call plotting routines
models = [
@@ -781,6 +850,9 @@ if __name__ == '__main__':
plot_expl_aoa_visualisation()
if plot_clusters_:
plot_clusters()
+ if skyline_:
+ skyline('rf', 'egu_pruned_rf/')
+ skyline('nn', 'egu_pruned_nn_scale_targets_true/')
methods = ['year', 'cluster']
algorithms = ['nn', 'rf']
diff --git a/source/preprocessing/data_for_clustering.py b/source/preprocessing/data_for_clustering.py
new file mode 100755
index 0000000000000000000000000000000000000000..02969751f542c0bff94b56f8c15b02359f59ce93
--- /dev/null
+++ b/source/preprocessing/data_for_clustering.py
@@ -0,0 +1,160 @@
+# General
+import pdb
+
+# Data formats
+import pickle
+
+# Data science
+import numpy as np
+import pandas as pd
+
+# On package, n.b. ActivationVisualization is for neural nets
+import settings
+from experiments.activation_visualization import ActivationVisualization
+from experiments.RF_activation_visualization import RFActVis
+
+
+__author__ = 'Clara Betancourt'
+
+
+# print('Imports finished')
+
+
+class DataForClustering:
+ """
+ This class can read in and prepare data for clustering of
+ explanations and representations.
+ """
+
+ def __init__(self, prnt=False):
+ """
+ Initialize the class. The paths are hard coded for now.
+ This can be changed later if required.
+ """
+ if prnt: print('Initialize DataForClustering...')
+ self.data = {}
+ self.modeldirs = {'nn': 'egu_pruned_nn_scale_targets_true/',
+ 'rf': 'egu_pruned_rf/'}
+ self.picklename = 'cluster_data.pkl'
+ self.prnt = prnt
+
+ def get_shap(self, model_key):
+ """
+ Read in SHAP values of the Neural Network
+ """
+ if self.prnt: print(f'Read SHAP values of {model_key}...')
+
+ # Read in
+ shap_path = settings.model_database_dir + \
+ self.modeldirs[model_key] + 'shap_values.pkl'
+ with open(shap_path, 'rb') as pickle_:
+ shap_dict = pickle.load(pickle_)
+
+ # Sort to df
+ df = pd.DataFrame(data=shap_dict['shap_values'],
+ index=shap_dict['test_df'].index,
+ columns=shap_dict['test_df'].columns)
+
+ # Finalize
+ self.data[f'shap_{model_key}'] = df
+
+ def get_nn_activations(self, which='test'):
+ """
+ Produce Neural Network activations
+ """
+ if self.prnt: print('Produce NN activations, takes a bit...')
+
+ # Model
+ av = ActivationVisualization(self.modeldirs['nn'])
+ av.load_nn()
+ av.prepare_weights_and_biases()
+
+ # Initialize dataframe
+ df_template = pd.read_csv(settings.model_database_dir +
+ self.modeldirs['nn'] +
+ f'data_features_{which}.csv')
+ cols = []
+ for x in range(20): cols.append(f'1_{x}')
+ for x in range(5): cols.append(f'2_{x}')
+ for x in range(1): cols.append(f'3_{x}')
+ df = pd.DataFrame(index=df_template.id, columns=cols)
+
+ # Sort activations to dataframe
+ for idx in df.index:
+ # print(idx)
+ av.forward_propagation(id=idx)
+ for col in df.columns:
+ layer, node = col.split('_')
+ df.at[idx, col] = av.a[layer][int(node), 0]
+
+ # Finalize
+ self.data[f'nn_activations_{which}'] = df
+
+ def get_rf_activations(self):
+ """
+ Produce Random Foreast activations
+ """
+ if self.prnt: print('Produce RF activations, takes a bit...')
+
+ # Model
+ rfav = RFActVis(self.modeldirs['rf'], print_=False)
+ rfav.load_data_and_model()
+ rfav.find_leaf_train_set()
+
+ # Initialize dataframe
+ train_template_df = pd.read_csv(settings.model_database_dir +
+ self.modeldirs['rf'] +
+ 'data_features_train.csv')
+ test_template_df = pd.read_csv(settings.model_database_dir +
+ self.modeldirs['rf'] +
+ 'data_features_test.csv')
+ df = pd.DataFrame(data=0.,
+ index=test_template_df.id,
+ columns=list(train_template_df.id))
+
+ for test_id in df.index:
+ # print(test_id)
+ rfav.find_leaf_test_set(test_id)
+ rfav.get_all_leaf_stations(test_id)
+ rfav.calc_contributions()
+ for train_id in rfav.station_importances.index:
+ contribution = rfav.station_importances.at[train_id, 'contribution']
+ df.at[test_id, train_id] = contribution
+
+ # Finalize
+ self.data['rf_activations'] = df
+
+ def pickle_data(self):
+ """
+ We would like to store the data, so it does not have
+ to be retrieved every time we cluster it.
+ """
+ pickle_path = settings.output_dir + self.picklename
+ if self.prnt: print(f'Pickle data to {pickle_path}...')
+ with open(pickle_path, 'wb') as pickle_:
+ pickle.dump(self.data, pickle_)
+
+ def get_data(self, how):
+ """
+ Read in all data
+
+ how can be one of 'prepare', 'read'
+ """
+ if self.prnt: print(f'{how} data...')
+ if how == 'prepare':
+ self.get_shap('nn')
+ self.get_shap('rf')
+ self.get_nn_activations('train')
+ self.get_nn_activations('test')
+ self.get_rf_activations()
+ elif how == 'read':
+ pickle_path = settings.output_dir + self.picklename
+ with open(pickle_path, 'rb') as pickle_:
+ self.data = pickle.load(pickle_)
+
+
+if __name__ == '__main__':
+ dfc = DataForClustering(prnt=True)
+ dfc.get_data(how='prepare')
+ dfc.pickle_data()
+ pdb.set_trace()