diff --git a/analysis/Python_scripts/boxplot.png b/analysis/Python_scripts/boxplot.png
index 5089317..18149ec 100644
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diff --git a/analysis/Python_scripts/boxplot_Benzenoids.png b/analysis/Python_scripts/boxplot_Benzenoids.png
index d842eef..89bd2b9 100644
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diff --git a/analysis/Python_scripts/boxplot_Lipids and lipid-like molecules.png b/analysis/Python_scripts/boxplot_Lipids and lipid-like molecules.png
index 886fc87..fb0c602 100644
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diff --git a/analysis/Python_scripts/boxplot_Organic acids and derivatives.png b/analysis/Python_scripts/boxplot_Organic acids and derivatives.png
index 8ce571e..956449e 100644
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diff --git a/analysis/Python_scripts/boxplot_Organic nitrogen compounds.png b/analysis/Python_scripts/boxplot_Organic nitrogen compounds.png
index b49f3a6..f6ad93c 100644
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diff --git a/analysis/Python_scripts/boxplot_Organic oxygen compounds.png b/analysis/Python_scripts/boxplot_Organic oxygen compounds.png
index ced978c..a10d8ae 100644
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diff --git a/analysis/Python_scripts/boxplot_Organohalogen compounds.png b/analysis/Python_scripts/boxplot_Organohalogen compounds.png
index 2762057..4f3800b 100644
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diff --git a/analysis/Python_scripts/boxplot_Organoheterocyclic compounds.png b/analysis/Python_scripts/boxplot_Organoheterocyclic compounds.png
index 299bf24..2e3ec03 100644
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diff --git a/analysis/Python_scripts/boxplot_Organophosphorus compounds.png b/analysis/Python_scripts/boxplot_Organophosphorus compounds.png
index 8b52746..b461461 100644
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diff --git a/analysis/Python_scripts/boxplot_Organosulfur compounds.png b/analysis/Python_scripts/boxplot_Organosulfur compounds.png
index 832d547..5e85b4a 100644
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diff --git a/analysis/Python_scripts/boxplot_Phenylpropanoids and polyketides.png b/analysis/Python_scripts/boxplot_Phenylpropanoids and polyketides.png
index ca87f11..16152c2 100644
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diff --git a/analysis/Python_scripts/boxplot_superclass.png b/analysis/Python_scripts/boxplot_superclass.png
new file mode 100644
index 0000000..18149ec
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diff --git a/analysis/Python_scripts/chemical_composition_boxplot.ipynb b/analysis/Python_scripts/chemical_composition_boxplot.ipynb
index 9b8ef45..cf72841 100644
--- a/analysis/Python_scripts/chemical_composition_boxplot.ipynb
+++ b/analysis/Python_scripts/chemical_composition_boxplot.ipynb
@@ -152,14 +152,14 @@
     "mdf_N_p1 = split_and_add_rows(mdf_N, 'true_names', split_by=', ')\n",
     "mdf_N_p1 = mdf_N_p1.sort_values(by=['true_names'])\n",
     "\n",
-    "create_plot(mdf_N_p1, '../Python_scripts/chemical_composition_boxplot_N.png', \"true_names\")\n",
+    "create_plot(mdf_N_p1, '../Python_scripts/chemical_composition_boxplot_N.png', \"true_names\", \"Chemical composition\")\n",
     "\n",
     "# without Nitrogen plot 1\n",
     "mdf_p1 = split_and_add_rows(mdf, 'true_names', split_by=', ')\n",
     "mdf_p1 = mdf_p1.sort_values(by=['true_names'])\n",
     "mdf_p1['true_names'].replace(to_replace=\"C,O,N,H\", value=\"C,O,H\", inplace=True)\n",
     "\n",
-    "create_plot(mdf_p1, '../Python_scripts/chemical_composition_boxplot.png', \"true_names\")"
+    "create_plot(mdf_p1, '../Python_scripts/chemical_composition_boxplot.png', \"true_names\", \"Chemical composition\")"
    ]
   },
   {
@@ -229,13 +229,13 @@
     "mdf_p2 = generate_combinations(mdf, 'true_names')\n",
     "mdf_p2 = mdf_p2.sort_values(by=['true_names'])\n",
     "\n",
-    "create_plot(mdf_p2, '../Python_scripts/chemical_composition_boxplot2.png', \"true_names\")\n",
+    "create_plot(mdf_p2, '../Python_scripts/chemical_composition_boxplot2.png', \"true_names\", \"Chemical composition\")\n",
     "\n",
     "# with Nitrogen plot 2\n",
     "mdf_N_p2 = generate_combinations(mdf_N, 'true_names')\n",
     "mdf_N_p2 = mdf_N_p2.sort_values(by=['true_names'])\n",
     "\n",
-    "create_plot(mdf_N_p2, '../Python_scripts/chemical_composition_boxplot2_N.png', \"true_names\")"
+    "create_plot(mdf_N_p2, '../Python_scripts/chemical_composition_boxplot2_N.png', \"true_names\", \"Chemical composition\")"
    ]
   }
  ],
diff --git a/analysis/Python_scripts/classes_boxplot.ipynb b/analysis/Python_scripts/classes_boxplot.ipynb
index c71a154..3be504f 100644
--- a/analysis/Python_scripts/classes_boxplot.ipynb
+++ b/analysis/Python_scripts/classes_boxplot.ipynb
@@ -21,29 +21,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:10] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:11] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:11] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:11] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:11] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:11] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n",
-      "[11:56:11] Skipping unrecognized collection type at line 48576: MDLV30/STERAC1 BONDS=(1 7)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "matchms_scores = pd.read_csv(\"../data/output_matching/matchms/matchms_tol_0.01_1%I_all_peaks_with_0s.tsv\", sep=\"\\t\")\n",
     "matchms_scores = get_matching_rows(matchms_scores, 'query', 'reference')\n",
@@ -75,7 +53,13 @@
       "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
       "  if pd.api.types.is_categorical_dtype(vector):\n",
       "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
-      "  if pd.api.types.is_categorical_dtype(vector):\n",
+      "  if pd.api.types.is_categorical_dtype(vector):\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
       "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
       "  if pd.api.types.is_categorical_dtype(vector):\n",
       "/home/hechth/micromamba/envs/rms/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
@@ -86,7 +70,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -96,12 +80,12 @@
     }
    ],
    "source": [
-    "create_plot(matchms_scores_superclass, \"boxplot.png\", grouping_column)"
+    "create_plot(matchms_scores_superclass, \"boxplot_superclass.png\", grouping_column, \"Compound superclass\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -124,7 +108,7 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -152,7 +136,7 @@
     },
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -180,7 +164,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -208,7 +192,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -236,7 +220,7 @@
     },
     {
      "data": {
-      "image/png": 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xxx907NiRDh06kDFjxme/KRERkZdEQbmISDJJ2G7l5MmT9O3bFz8/P+rXr4/FYmHr1q2MHz8eR0dHhg8fTsWKFXF2diYqKgqAW7du4erqarRNeZLqH9t+dnZ2Rgh+48YN/vrrL8aNG4fZbOajjz6if//+gMJyERERkVdBwue7EydOMH78eHbt2kXnzp0ZNGgQkDQsnz17NmnTpn3kW4lPW11+/vx5vvjiCzZs2MCIESP44IMPnvgZVUREJLkpKBcRSWbz588nJiaG7du3M3/+fDw8PID7E5O9e/cybNgwHB0d8ff356233kr06qzNowJt2+Tk36/d/vuYffv2MW7cOIKDg+nUqRODBw9+7LlFRERE5OX7d+idsAADICQkhAkTJrBv3z46duzIgAEDHniczYOe92zPkDdv3mT79u1UqlTpida1OXnyJB9//DHHjx9n+fLl5M6dW8+TIiLyStCfdUVEktGKFSv48ssv+eWXX8iZMyceHh7ExcVhtVqxt7enbNmyTJ48GbPZzOeff862bduIi4tLcp6HTTxs5zl69Cjjxo0jJCTkgcdYrVZKly7NpEmTKFasGAsWLGDJkiWPPLeIiIiIvHxms9kIu5cvX864cePo378/06ZN49SpU9y7d48CBQowfPhwSpcuzbfffsuXX34JgIODA2azOck5//28Z3uGvH79OvXr12fo0KFs2LCB27dvP3Z8+fLlo3379tjZ2TF58mSio6P1PCkiIq8EVZSLiLxED6rimTBhAosXL8bd3Z3ly5fzxhtvJHpF1Wq1snfvXgYMGIDZbGb58uXkyJHjia8ZFhaGr68vAE2bNqVz587kyZMnyX62Sp+DBw/SrVs3PD09+fzzz5Ms8CQiIiIiySPhM2L37t3ZsWMHadKkITY2lqioKHLlykWbNm1o3rw5rq6uHD9+nE8++YRDhw7RunVr443BJ3H37l2GDx/On3/+ibe3N1FRUQwYMID69evj7u7+wGNsz5NWq5URI0bw+++/s3LlSnx8fFRVLiIiKZ4qykVEXhKr1WqE5BEREcbnI0eOpGPHjty+fZtx48Zx7tw57O3tsVgswP0Kn7Jly/Lpp58ycODApwrJAdKmTYunpycZMmRg1apVzJ07l9DQ0CT72SY1JUqUYNy4cZw5c4YtW7YYYxcRERGR5GULyUeMGMGBAwcYMWIEv/76K+vXr2fq1KlYLBZmzZrF6tWriY2NpWDBgowaNYrChQuzYMEC/v777ye6jtVqZePGjfz666/UrVuXzz//nPz58/Pll1+ydu3ah1aW29nZGf3SBwwYgNVq5ccffzS2iYiIpGQKykVEXhLb5GDw4ME0bdqUsLAwY9vQoUNp27Ytu3fvZvz48YSFhSUJyytVqkSzZs0AjM8fx2Kx4OTkRI4cOWjXrh3t2rXj559/Zs6cOQ8My+H+xKhatWo0btyYgIAAQkNDNbERERERecliY2OB+28kJnT69Gm2bt2Kr68vtWvXxt3dnYwZM1KnTh2+/PJLPDw8+OGHH7h58yYA+fPnZ/To0UyfPp0yZco89roWiwWz2UxkZCSlSpVizJgxlCtXjoEDB5I3b16++OKLR4bl9vb2xMfH4+HhQfXq1QkODn62L0JEROQlUVAuIvKSeXt7c+fOHfr165coLB85ciStWrUiKCiIcePGJQnLE7JVEz2Ovb097u7uFC1alC1btjBgwAAaNmz4wLA8JiYGOzs77OzssLe3p3r16pjNZk6ePAk8eTgvIiIiIs9mzZo19OvXj+vXrydp2xcREcHly5epUKECbm5uiYL0YsWK0bVrV06cOEFgYCBwvwiiUKFC1KpVC3j4M92xY8eA+8+PTk5O1KlTh2nTpuHi4gJA6dKlGTZsmBGW//LLL0nCcttYHBwcMJlMVKxYkR07dnD9+nW9oSgiIimegnIRkZfENinx9/enQ4cOnDlzhj59+jwwLN+9ezejR48mNDT0iUNxuN9LMiHbhCRPnjxcvHgRFxcXJk+eTOPGjY2w/MyZMyxYsICVK1calUsANWrUoGjRovz000/Ak4fzIiIiIvJsfv75Z/744w/27dtnfPbvgHvv3r3ExMQYQbqtB3ilSpUACA8Pf+C5H/RMt2fPHnr06MH58+exWCxYrVbSp09P5syZEx1XokQJIyy3LUgfFRUF3F8X588//0z0bFuhQgWWL1+Ot7e33lAUEZEUT6mHiMgLYjabE/1ub29vfNarVy86duzIuXPnHhiWN2nShKCgIE6dOvXE1/v000/5/vvvgX8CctuEpEqVKty+fZvt27djb2/P2LFjadKkCT///DM9e/bk888/x8vLyziXrRqoTJkyREZGcufOnf/wDYiIiIjIfzF//nxmzJhB9erVAbhz544RcJcpU4ZChQqxdetWjh8/nqRSOzIyEmdnZ7JmzQo8WW9wBwcHLl++bLzR+DAPCssDAwM5duwY8+bNo3fv3okC+ixZslC0aFFAa96IiEjKp6BcROQFcXR0BGDDhg1GpY2jo2OisLxDhw6cOHGCvn37cv78eePYMWPG8P3331OjRo0nvt6dO3fYtGkTd+/eTTIhcnNzw8HBwWi14uLiwrhx48iXLx+hoaEUK1aM3LlzYzKZAIzKpJYtWzJp0iTSpk37H78FEREREXkaZrMZBwcHatasCUCfPn0YMGCA0XPcwcGBTp06cf36dT755BP27t1LdHQ0dnZ2hIeHs27dOpycnChUqNATX7N06dKUKVOGgIAAoqKiHhmu29vbU7x4cYYNG0a+fPn4/PPP+fjjj1m5ciU9e/akfPnyDzxOFeUiIpLSKSgXEXmBvv/+e3r37s3SpUuNquyEYXnv3r1p0KABR48epX///pw9e9Y41jbJeNLe4AULFuTMmTNcunQJ+Kcq3Gq1kjlzZsqWLcuuXbuMc37xxReEhoZStGhRDh8+zPz58xP1LLdYLGTLlo1cuXI947cgIiIiIk/KVmwB95/jbG8FTpw4kRs3bgBQuXJl/Pz8OHv2LAMGDGDYsGFMnz6d4cOHExAQgJ+f30MD64cpWbIke/bsMd5o/PciojYWiwUHBwdKlSpFx44dAdi3bx+DBg2iV69exj4iIiKvGgXlIiIvUKVKlWjYsCEzZsxg8eLFicJyWz/wjh07kjVrVs6cOcNHH31kVJ/bPGlv8IYNG+Ls7MysWbOA+9VGtl6VAD4+Phw+fJi4uDi++OILFi1axNChQ5k3bx716tXj119/JSYm5qmvKyIiIiLPX3x8PHZ2dixYsABfX1/WrVvHJ598wvXr1/H29qZZs2ZMnDiR7Nmz8/vvv/Ptt99y584dRo0aRZcuXYAnC6xtLVE6d+6Mu7s706ZNA+4/Sz5qUfmwsDC2bdvGrVu3GDZsGJ07dzauqedIERF5FTk+fhcREXkSCUNp2wQhf/78+Pn5YbVajUnHhx9+iKurq9HmJDQ0FCcnJ+rWrUuBAgVwc3P7T9d3dnbmnXfeYd26dWzYsAFfX1/s7OyIj4/HwcGBt99+m3Xr1tGtWzeCgoIYMmQITZs2xc3NjUmTJtGlS5enekVXRERERJ4f2zObja3owd7enilTpjBgwAACAwMBGD58ON7e3lSvXp3q1atz6tQpnJyccHNzw9vbG3jywNr2/Orq6kqjRo2YN28ekydPZtiwYdjb2z/wPLGxsfzvf//jxx9/ZMCAAXTo0OGprikiIpIS2Vm1ooaIyDP798QmJiYGFxcX4/eTJ08yb948fvnlF/r27UuzZs3ImDEj165dY/78+URHRzN+/Hhj/4Sh+9M4ffo0zZo1o0yZMowePTpR25TLly9Tq1YtYmJiGDVqFI0aNXpgKP9fry0iIiIi/43ZbDZargQFBREdHU2ePHnIli2bUVxhsVgYMGAAGzdupHbt2owYMSLRYuwJ/dfnufDwcHr27ElISAj9+vUzqsT//axrtVrZuXMnYWFhtGjRwhifQnIREXmVKSgXEXlGCScO8+fPZ//+/YSEhFCmTBkqVapEkyZNADh16hTffPMNa9as4d1336VgwYJcuHCB9evXM3z4cFq3bv1cxrNkyRI++eQTWrZsSd++fRNNoE6cOMHhw4d57733SJcu3XO5noiIiIj8dwlD7V69evHXX39hNpvx9PSkVq1aDBkyxChuSBiW16tXj2HDhuHl5fVcCh1sQXdISAjt2rXjzp07+Pn5GX3HHzVuheQiIvI6UFAuIvIMEk4K/Pz82L9/PxkyZMDd3Z3Dhw9jNpvp0KEDw4YNA+DSpUusXr2a+fPnExcXh7u7O127djUWQnoeoqKi+Oyzz1i+fDlt2rShc+fOZM2a9YFjFhEREZGUYdSoUfz111+0aNGC4sWLs3jxYvbs2UO5cuWYNm0a7u7uwP1nucGDB7N27VqqVavGtGnTjKrzZ2V7Tjx27Bg9e/bkwoUL1K1bl9GjR+Pu7m70Lbe3t9dbiCIi8tpRUC4i8hyMHz+eX375heHDh/POO+/g5eXF7t27mT59Onv27KFTp04MHjzY2D80NJTY2Fjs7OwoUKAA8HwD7OvXr/P555+zZs0aatSoQevWralUqVKi62hyIyIiIpJ8Ej77XblyhQEDBlCrVi2aNWuGq6sr0dHRfPbZZ/z000+UK1eOGTNmJKos79atG1WqVOHDDz98ruOyvS155swZZs6cycaNG8mcOTPNmzenTp06+Pj4PNfriYiIpBQKykVEnlFERARt27alaNGiTJw4EZPJZEx8jhw5wtixYzl06BDTp0+nVq1aDwyoX0RofevWLZYtW8acOXPw8vKiTp069O7dG5PJhJOT03O9loiIiIj8N4MHDyZjxozs2LGDr776ikyZMhEbG4vJZOLevXtMnjz5gWF5Qk/yLPk0RRm2fW/dukVwcDDffPMNwcHBREdH4+vrS8mSJZ9b20AREZGUQu/ei4g8oytXrhAaGoqPjw8mk4m4uDhjolK0aFH69OmDnZ0dR48eBXjgJOZFVHZ7enrSrVs3li5dSp48eVi5ciX16tVj0qRJrF+/ntu3bz/3a4qIiIjIkwsLCyM0NJRvv/2Ws2fPcv36dQBMJhPx8fE4OzszbNgwmjdvzr59++jevTuRkZGJzvEkIXl8fLwRkp88edK4zsPY3j709PSkYsWKfPPNN8ydO5c+ffpw8+ZNcubM+Qx3LSIikjKpolxE5BnduHGDBg0aUKpUKWbNmgXcr8KB+5OMuLg4fH19yZUrFwsXLsTOzu6ltzy5ffs2ly9fZunSpZw4cYKQkBDWrl1LhgwZXuo4RERERCSxQ4cOsXDhQtatW8eAAQNo164dLi4uwD9tUGJjY5kwYQLLly9n5syZ+Pr6PvH5Ey48P3r0aPbt20eLFi1o1arVE/U2/3cl+r1793B2dn7KuxQREUn5HJN7ACIir4qEkwTbz7bqnGLFirFx40YWL15M27Ztsbe3N8LyU6dOERsbS8mSJZNtEU13d3fc3d0ZPXo0cD84ty0IJSIiIiIv3sNanxQvXpyOHTty+/ZtZs+ejbe3Nw0bNsRkMuHg4EB8fDwmk4kRI0ZQr149KlSo8FTXtIXkfn5+HDt2jLp16/Lee+898QKg/x7z81o4VEREJKVR6xURkSdgNpuNScLdu3e5dOkSgPFKaufOnXFxcWHatGkEBAQA9ycVly9fZv369cTExFC6dOnkGr4xVpsH9bYUERERkRcjYeuTGzducOnSJe7evWtsL168OH379qVcuXKMHz+e//3vf8TGxgLg4OCA2WzG2dnZCMltBRkPY3vus11z9OjRhISEMGzYMHr27JloQc6Ez4iPOy+8mJaBIiIiKYFar4iIPEbC11XHjRvHrl27OH36NCVKlODNN9+kU6dOpEuXjs2bNzNgwACioqKoUKECGTJk4NKlSxw4cIA+ffrQtWvXZL4TEREREXnZEj5Lfvrpp+zcuZPw8HAyZszIwIEDKVWqFJ6engAcPnyYqVOnsmfPHsaMGUP9+vWfuII7MDAQR0dHatSoAfxTwX7mzBk++ugjfH196dmzJx4eHty8eZOTJ0/yv//9Dzs7O4oXL07z5s1fzBcgIiLyilBQLiLyhHr27MmOHTsoXbo06dOnZ//+/Zw9e5ZixYoxb9480qdPz4EDB1i6dCn79u3j2rVrlCxZkgYNGtC0aVPg4a/cioiIiMjrJ+Gzn5+fH3v37qVcuXJkzJiRI0eOcPbsWXr37k29evXImDEjcD8snzFjBlu3bmXkyJG0atXqkc+PVquVsLAwatWqRdasWRkzZgxVq1Y1th88eJCWLVsyefJkGjduzLlz55gyZQp///03d+/eJS4ujri4OKZMmUL9+vVf7BciIiKSgqlHuYjIQ5jNZhwd7//X5P79+zl+/DijRo2iTp06ODs7Exsby5gxY1i9ejW9evVi3rx5lCxZkkKFCmFvb8+dO3dwcXExFmNSSC4iIiKSuvy79cmYMWPw9fXFxcWFn3/+mcGDBzN79mzi4uJo2rQp6dOnp1ixYvTu3ZvIyEisVutjnx/t7OzImTMnkyZN4tNPP2XSpEnEx8dTrVo1ADJlykSRIkUYN24cv/76K0FBQfj4+NCiRQv69u3L0aNHadq0KUeOHFFQLiIiqZqCchGRh7CF5AEBAdy6dYsMGTJQo0YNIyQ3mUyMHTuW2NhY1q5dy48//kjnzp2xt7fHycmJdOnSGT0fn2SSIyIiIiKvn6CgIIKCgujQoQPvvfceLi4u7Nq1i1GjRlGjRg2io6OZPXs2Dg4ONGjQgIwZM1K8eHFmz55N+vTpH3t+WzFG48aNsbe3Z/z48Xz66adYLBZq1KhBlixZ6NChA+vXr+fIkSO0adOGunXrUrRoUeD+4pyenp5kyZLlRX8VIiIiKZqCchGRR1i0aBGTJ08mR44cFChQADc3N+Li4jCZTFgsFpydnRkzZgx79uxh7969dOnSBScnJ+N422JHWvRIREREJHVycnLC29ubqlWr4ubmxtGjR+natSvVq1dnyJAhhIaGEhQUxLfffovZbKZp06ZkyJDBCMmtVusjnyXt7e2NIo6GDRvi6urKyJEjmT59OgA1atSgYcOGNGjQgJs3b+Ll5WUce/nyZdauXYuTkxOFCxd+sV+EiIhICqfyRhGRR/jwww9p3Lgx58+fZ+/evVy4cAEnJyejcsdiseDh4UH27Nk5fvw4MTExaOkHEREREbEpXLgwM2bMIHfu3Fy+fJmBAwdSunRp+vXrR+bMmalYsSIFCxbEzs6OL7/8kvDw8ETHP67gIj4+3ljwMyAggLNnz2K1Wjl9+jSff/45f/75p3EeNzc347gjR47w/fff8/XXX9O5c2fKly//nO9cRETk1aKKchGR/+/fPcRtPconT56Mk5MTK1asYMSIEUyePJksWbIY+1+8eJFbt26RP39+Y5IiIiIiIqnLw9ajSZs2Lc7OzgAcOHCA69ev07t3b3x8fBJ9NmHCBJydnSlevPgTX9NqteLg4ABAt27dOHr0KOXLl6dFixaEh4ezdu1aJk2ahJ2dHe+++65R8LFy5UoCAgKIjIxkwIABdOjQ4ZH3ICIikhooKBcRIfHCnZcvX8bT09P4HWD8+PGYzWZWr17N4MGDGTt2LLly5SI0NJT//e9/nDp1ik6dOmliISIiIpIKJXyWPHToENeuXcPOzo4CBQqQLVs2Y9vt27e5deuWUVxx5coVtmzZQvr06cmTJ48Rnj9pYG2rNp81axZBQUGMHz+eWrVqGcF8xYoVGTt2LBMnTsTOzo6qVatib2/PzZs3eeutt6hSpQpVq1Z9qmuKiIi8rhSUi0iqZ7FYjMnLqFGj2LNnD66urpQoUYLevXvj7e0NYFTjrFq1ipYtW+Lj42NMNAYNGkTTpk2Bx/eRFBEREZHXR3x8vPEs6e/vz/bt27l8+TIAefPmpV69evTo0QOAbNmy4eDgwBdffMGuXbu4dOkSf/zxBwMHDjRCcuCpA+ujR4+SMWNG3nrrLZydnYmPj8fBwYEWLVpgtVoZPXo0EydOJC4ujho1atC1a1eioqKMViwKyUVERMDOqma6IiIA9OnTh61bt1KmTBlu3rzJkSNHyJcvH9988w2ZM2c29hs1ahQrVqwgX7589OrVi3LlypEhQwZAkwwRERGR1KpHjx7s27ePxo0bU6hQISIiIggICODKlSu0atWKMWPGYGdnx08//cTMmTOJiooiU6ZMtGnThjZt2gD/reDCbDbTsmVL4uLi+Pnnn4H7z6TwT+DeqVMn9u3bR6ZMmejTpw9169Z9jncuIiLyelBFuYgIcOrUKS5evMjEiRPx9fXFwcGBefPm8fXXX9OyZUuWL19uhOXjx4/n3r17/Prrr/z222+UKVMGgLi4OJycnJLzNkREREQkGaxatYpdu3YxbNgw6tWrR5o0aQCoW7cuXbp04YcffiBHjhx07tyZZs2aUaZMGaO3eM6cOYH/VnBhezOyTJkyLF68mP/97380bNgQe3t74uPjjf3c3Nzw9vbmzJkz3Lt37zndtYiIyOtFZY8ikiolnDgA3Lhxg0uXLlGuXDlj0tKlSxf69evHnTt3aNmypfEKLcBnn31GnTp1+O2335gwYQJXrlwxFkcSERERkdQlJCQEi8XCW2+9ZYTkZrOZLFmyMG/ePLy8vNi4cSO3b98G4I033iBnzpxGSG61Wh8bkv/7+RX+qRivUaMGAPPnz2fLli0AxjNteHg4N2/eZPTo0fz55580adLkOdyxiIjI60dBuYikOraejQDr169n8eLFnDx5krfeestooRIXF4e9vT1t2rShb9++3Llzhw8++IBLly4Z55k8eTINGjRg8+bN+Pv7c+3aNbVdEREREXnNmc3mJJ/dunULq9VK2rRpgX8qvePi4siWLRuNGzfmwIEDnD59+oHnfFy7lYTPr//3f//H8uXL+fXXX40ijYoVKzJq1ChOnjzJhAkTWL58OTExMRw+fJgff/yRo0ePApA1a1ZjfCIiIpKYWq+ISKpitVqNSUb37t3ZtGlToolC7dq1qVatGk5OTpjNZhwdHWnbti329vZ8+umn1KlTh23btuHo6IjJZGLSpEncuXOH3bt3P3DSJCIiIiKvF9vCnevWraNWrVo4ODiQM2dOoqOjWbp0KV26dMHR0ZH4+HijLV+aNGkwmUy4u7s/9fUSPr/26NGDzZs3G8+dtWvXplu3bhQsWJA2bdrg6OjI+PHjGT16NFOmTCEuLo7Y2Fj69u3LO++8Y5xTxR0iIiJJKSgXkVQjYd/H2bNnc/z4ccaMGUOuXLk4duwYkydPZvbs2aRNm5YKFSrg6OhohOWtW7cmOjoaV1dXXF1dgX8qe2bMmMHly5cTLfgpIiIiIq+vsWPH8ssvv1ClShXc3d1p1aoVK1euZNmyZWTNmpX69esbgfrly5c5duwYb7zxBi4uLk91nYTPr2PGjOHw4cMMHjyY3Llzs3//fr777juuXLnCoEGDKF26NO+//z758+dn//797N+/n9y5c1O8eHF8fX2TnE9EREQSs7NardbkHoSIyItmtVqNV1ojIiKYPHky6dKlY+DAgcaEZfXq1fj7+1OiRAkGDhxIhQoVgAcv0mmbZCR8DVZEREREUodJkybx888/ExgYiIeHBwBBQUEMGTKE+Ph4mjRpQtu2bTl37hybNm0iICCAkSNH0rp16ye+RsJQ+969e4wdO5Z8+fLRpk0bXFxcuHPnDps2bWLMmDHky5fPCMsfFoQrJBcREXk0BeUikqoMGjSIv//+m3Tp0jF48GAqVapkVI1D4rB80KBBlC9fHkgctIuIiIhI6pHwOTA2NhaTycTSpUsZN24cK1eupFixYsD9tw337dvHyJEjOXPmjHG8p6cnXbp0oXPnzknO9yT69evH5cuXCQ0NZc6cOZQpU8bYZjab+e2334ywfMiQIZQuXfo53LWIiEjqo9YrIpJq3Lt3j1KlSvH3339z9OhR9u7dS7ly5XBycjIqw5s0aQKAv78/kydPZuDAgVSuXFkhuYiIiEgq9O+3B00mE4ARjoeFhRk/Ozg4UK5cOVauXMmGDRu4cOEC2bJlI1euXJQtWxZ4+qru+Ph4rl69yokTJ3BycjLehLQVejg6OuLr64udnR0ff/wxEydOZOjQoZQrV+653L+IiEhqoqBcRFINZ2dnGjdujKurK9OnT+ePP/7A19eXggUL4uDgYExcmjRpgsViYcSIEdy6dSu5hy0iIiIiycQWkg8YMIDo6GgKFChAoUKFuHbtGmnTpiUqKoqYmJhEvcfd3NyM4ouEniQkT/imo+36AQEBDBkyhPXr1zNlyhSmT5+Ou7u7EeI7OTnh6+uLxWJh4MCBXL169TndvYiISOqi1isi8lp6VO/wW7dusXHjRj799FPy58/PuHHjyJs3L5B4AnPq1CnjcxERERFJnXbv3s3IkSMxmUycP3+e6OhoPDw8iIyMxNPTk9KlS5M1a1ayZs1K8eLFcXZ2JmPGjPj4+Pzna86dO5d27dqRNm1a4P6aOYMGDWLDhg00atQIf39/PDw8Ej3zxsXFceHCBXLnzv08bltERCTVUVAuIq+dhJU4mzZt4vz588TGxlKkSBFKlChBmjRpuHXrFhs2bOCzzz5LEpbbJhy2/pFa+EhEREQkdbMt7n7x4kWuX79OREQEn3zyCZcuXaJgwYKEhoYSHR1NfHw8AHPmzKFatWr/6Vo//PADY8eOpWrVqkydOhVXV1djDP379+evv/6ifv36jBgxIlFleUJ6fhUREXl6CspF5LWScKLQv39/goKCuHnzJnC/p2SVKlX45JNPSJcuXaKwvGDBgsYiSCIiIiKSOj3qrcSE2+/du0f37t2Jj49n3rx5mM1mbty4wfHjx3FycqJq1ar/eQx37tzhs88+Y82aNZQvX57p06cnCssHDBjAn3/+ScOGDRk2bBgeHh5aeF5EROQ5UFAuIq+lvn37smvXLjp27EipUqWwWCzMmzePoKAgihQpwsKFC/H09OT27dts2LCB8ePHkzNnTr7//ns8PT2Te/giIiIi8pIlfCtx1apVnDhxgqtXr1KiRAnee+89fHx8sFgs2NnZYWdnx6effsqyZcv4/fffSZ8+fZLz/ZeqbtsYoqOjmTRpEqtXr6ZixYpJwvJBgwbx66+/UrNmTaZMmWIsMioiIiL/nRbzFJHXzl9//cWOHTvo3r0777//PmnSpAGgTJkyjBs3jpUrVzJhwgQmTJiAu7s7NWvWJCYmBjs7O4XkIiIiIqmQxWIxQvIePXqwZ88eI7T+5ZdfmD9/PlOnTuXNN980qsqzZMlCTEwMsbGxAEmquh8XkicM0m3ndHR0JD4+njRp0uDv7w/AmjVr6N+/P9OmTSNNmjQ4OTkxZcoUbt++zZtvvqmQXERE5DlR0zIRee2cOXOGW7duUbZsWdKkSYPVasVsNmMymRgzZgylSpVi69atnD9/HgA3NzdatGjBBx98ANyf5IiIiIhI6mELrIcOHcq+ffsYPHgwq1atIjAwkB49enDv3j06d+7M33//bbRmKVCgAABHjx4FeOrWJ7ZrDho0iBUrVhiBu4ODgxGWDx06lNq1a7Np0yYGDhxIdHQ0AE5OTixYsIAPP/wQ0POriIjI86CgXEReaQ+aFNgWUbJts1qtODo6GoswtW3blhs3bnDs2DHjGCcnJ+Nn9XcUERERSX0OHz7Mtm3baN68OQ0bNiR37tx4e3vTp08fhgwZAsDgwYMJDw8HwMvLC+CZKrrPnTvHiRMn+Oyzz1i/fn2SsDxt2rSMHj0aHx8f/vjjD7p3786dO3eAf55Z1Z9cRETk+VBQLiKvrPj4eGNScOvWLePzXLlyATB//nxu3bqFvb09ZrPZCMNtlTgZM2Z8ySMWERERkZQqPDyca9euUahQIZydnbFYLEYBRosWLWjdujUXLlzg8OHDwP2AfObMmVSpUuU/XzNnzpxMmDCBkiVLMnbsWNatW5coLDebzbi5uZE7d27eeOMNduzYQVBQUKJzKCQXERF5PhSUi8gryWw2G6+9zpw5k+HDh/Pnn38CUKNGDd5++202btzI/PnziYyMNHpOXrlyhf3795MjRw6jCkhERERExLZY5s2bN43PbGE1wPvvvw/AoUOHAMiTJw++vr7A/X7jj/OwfYoXL06/fv0oWbIkH3/8MevWrePevXsAODo6cvbsWWJiYvD392fx4sXUqFHjv92giIiIPJIW8xSRV07CxZa6d+9OcHAwlStXJmfOnMY+n3/+OV27dmXBggUEBwfTsWNHbt26xe7du1m9ejVDhw4lf/78yXULIiIiIpLCZMmShaxZs/LVV19RtmxZChUqRHx8vPHceeHCBRwcHHjjjTeSHPu4hTttC4MChIaGcunSJdKnT0+aNGnw8fGhZMmSDBgwgC+//JKPP/6YmzdvUqdOHSwWC2vWrOH8+fP4+PgY1064EKiIiIg8H3ZWrfohIq+oESNG8PvvvzNixAjee+893NzcjEode3t7IiMj8ff356+//jJem82SJQsdOnSgQ4cOgHo6ioiIiMg/Zs+ezcyZMylXrhwjR46kUKFCAFy9epVvv/2WNWvWMGvWLMqWLfvE54yPjzfehBwxYgRbtmzhypUr2NvbkyNHDnr27EmjRo2A+33S58+fz2+//Ua2bNlwcHAgLCyMQYMG0blz5+d/wyIiImJQUC4ir6SDBw/St29fatWqRe/evUmbNm2i0DvhhGT//v2cP38eLy8vMmTIQMGCBQFV4oiIiIjIfQmfCz/++GOWLVuGp6cnH374IXZ2doSEhLBx40b69+//nwPr7t27s3//fho0aEDBggU5e/YsS5cuJSoqimHDhhmFHJGRkfz0009s3ryZtGnTUr16dZo0aZJknCIiIvJ8KSgXkVfS2rVrGThwIPPnz+edd95JtO1JqsRVSS4iIiKSejzJs1/CQotvvvmG//3vf4SEhACQP39+WrVqRZs2bYCnD6yXLl3KtGnTGDJkCA0aNMDZ2RmAzZs3M23aNI4ePcqXX35J3bp1jWNsa/LYxq2QXERE5MVSj3IReSXduXMHwJg4JOz7aPts3bp1mEymBy54pJBcREREJHVIGIBfv34db2/vB+7n4OBg7Nu5c2caN27M1atXMZlMuLq6kjVrVuC/BdbBwcGYTCaqVKmCs7Oz8ez6zjvvYLFY6N27NwsXLuStt97C3d0dBweHRCG51WpVSC4iIvKC6X9pReSVlC9fPpydnQkICCA2NhZHR0diY2ON7WFhYaxZs4adO3dy7969ZBypiIiIiCSXhCH5Z599Rp8+ffjjjz942IvVDg4Oxpo36dOnp3DhwuTNm5csWbIATx9Y265z5swZTCYTnp6ewP31dGzb3n33XZo0acKJEyeIjY01xpuwsENFHiIiIi+egnIReSUVLVqUSpUqsW3bNiZPnozZbMZkMgEQHh7OmjVrOHToEG+++abxaquIiIiIpB4Wi8UInf38/AgMDCRr1qzkzp37kcGzLQh/UFD9tIG1LQyvVKkSFy9e5OeffzauYbFYjFDe3d2dmJiYRIUfIiIi8nKp9YqIvHIsFgvOzs589tlntGnThqVLlxIcHEzTpk2Jiopi586dbN68mQEDBlCzZs3kHq6IiIiIJIOEi3MeOnSIkSNHUrVqVdKmTftC+n0nrF7/9xjKli1L2rRpmT59Ol5eXtSoUcPY98qVK5w+fZqiRYvi6uqqtXRERESSiRbzFJFXkq2v4+3btxk7diw7d+7k2rVrODo6kjdvXlq1asUHH3wAaOEjERERkded7Xnv3899YWFhdOzYkQoVKuDv74+bm9sLuX7CkPzPP//kypUrmEwm8uXLR/HixQH48ccfGTNmDJ6envTq1YsaNWoQHh7Oxo0b+e677xg1ahStWrV6IeMTERGRx1NQLiKvLNuEJDY2lsuXL3Py5EkyZ86Mu7s7Pj4+gEJyERERkdfdmjVrOHv2LN26dUvScm/nzp20b9+e2bNnU7169UTPhgkrtx9UDf6kEp6nd+/ebNmyhZiYGADSpUtHzZo1GTduHAArV65k2rRpXLt2DWdnZ+zt7TGZTHTu3JkuXbokOZ+IiIi8PGq9IiIpRsIJyr8D7gcF3rbFlkwmEz4+PkY4bvO0iy2JiIiIyKvDarUSHx/PlClTuHbtGlWqVKFMmTLAP8+OcXFxAJw6dYp33303URhuC6MDAwOxt7f/Ty37Ej6j+vv7s2/fPnr06EGRIkWIiYlh+vTpLF++nMuXLzNv3jyaN29O/vz5OXnyJLt376Zw4cIUKFCASpUqJTmfiIiIvFyqKBeRFCFhSP7tt98SGhpK9uzZKVeuHOXKlQM0cRARERGRf9gqr6Oioli7di3vv/8+AHFxcTg5OQFw69YtGjRoQK5cuZg+fTre3t6JznHp0iUGDx5MpkyZGD9+PK6urk98/YTPpnfv3mXYsGGULFmS1q1bkyZNGgCuXr3K6NGj+fPPP2nfvj3+/v5PdD4RERF5+RSUi0iK0rVrV7Zs2YKLiwvR0dFkypSJjz76iA4dOgCaQIiIiIjIP2zr1tj06dOH3Llz07NnT5ydnYmNjWX+/PnMmjWLmjVrMmLECDJkyICDgwPnz59nzZo1LFq0iFGjRlG/fv3/NIYBAwYQERHB4cOHmTt3LuXLl8dqtWKxWHBwcODatWu0bt0ai8XCd999R/bs2QG1WBEREUlp1HpFRJJVwkry+fPnc+rUKT777DPKlCnDzZs36du3L7NmzeL27dv07t37gYs0iYiIiEjqlDAkv3fvHrt37+avv/7Czc2N9u3b4+zsTKNGjbh48SKrVq3i/PnzlC5dGm9vb4KCgti/fz99+vQxQvKnDa+jo6M5deoU4eHhODs7G5Xs8fHxODo6EhcXR4YMGejYsSMff/wxp0+fNoJyheQiIiIpi5ImEUlWtpD8zp073Lx5k0qVKlGtWjWyZ89O0aJFWbhwITlz5iQgIIBZs2YBYG9vT3x8fHIOW0RERERSkPj4eJydndm4cSO5c+dmxowZLFy4kJiYGHx8fOjevTvDhg3jzp07LF26lK+++gqz2cyYMWPo2rUrcP/NxacJr+Pj40mTJg2LFy+mZMmSXL9+nZkzZxIbG2uE5Lbg3GKxABgtWURERCTlUesVEUl2/v7+/PLLL+TJkwc/Pz/q1q2b6HXVsLAw+vTpw7lz5/joo4/o2bNncg9ZRERERJJRwrcSbWxtWO7cuUOrVq0IDQ2lZ8+edOzYERcXFwBiYmI4c+YMadKkwcPDAy8vL+DJ2vs96Jo2UVFR9OvXj61bt9KsWTPGjh1rhORXrlzhyy+/ZPPmzXz77bcUKlToWW9fREREXgAF5SKSrMxmMz/++CM//PADJ06cwM/Pj759+xoTFduEJCwsjP79+3P8+HHatWvH4MGDk3nkIiIiIpIcEvYlP378OPfu3aNQoUI4OTkZFeEJw/JevXrRsWNHnJ2dH3i+J2m3kjAkDwwMxGKxkDlzZsqWLWvsc/v2bfr27cv27dspW7YsHTp04Pr16xw5coTVq1fTv39/Pvroo+fxFYiIiMgLoKBcRJKNrXLn3r17/O9//+Obb74hLi6OefPmkT9/fmM/28TEVlH+0Ucf0bp162QcuYiIiIgkh4SV3/369WPTpk1ER0dTqFAhGjduTNu2bY0QPWFY3qdPH6Nn+dP2IU+4f48ePfjzzz+xWq2kSZOG9957jylTphhjun37NgMGDGDLli14enqSJk0aqlWrRt68eWnTpk2SexAREZGUQ0G5iLw0j3pdNSYmhl9++YVp06aRNm1a5syZQ968eZMcGxUVhZub28sasoiIiIikQIMGDSIoKIg6deqQI0cOli1bxpUrV3j//fcZOHCg0fbkzp07tG7dmuPHj9O9e3d69er10OfRx/nss88IDAzkgw8+oESJEixZsoQ//viDYsWKsXTpUiP8joqKom/fvhw+fJhq1arx8ccfYzKZsFqtWK1WheQiIiIplIJyEXkpEr4iu3z5ck6cOMHVq1epXLky5cqV44033iAmJoa1a9cydepU0qZNy9y5c8mTJ0+i89gqep62EkhEREREXl0JCy7Cw8Pp0aMHrVu3pkGDBri4uHDjxg369OnDoUOHaNmyJYMHD04UltetW5fOnTvz4YcfPvE1//282bt3b4oXL07btm1xdXXl5s2bLFy4kHnz5lGqVKlEYXlkZCR9+vTh77//plmzZvj7+2MymR5ZOCIiIiLJS0G5iLxwCV8v7datGwcPHsTFxQVnZ2cuXbqEj48PY8eOpUyZMsTGxvLLL7/w5Zdf4uHhwcyZMxNVlouIiIhI6jV69Gjy5s1LYGAgX331FZ6ensTGxmIymbh+/Tp9+/bl4MGDvP/++wwZMsQo1EhYtPEkEu4fFxdHXFwcAwYMoFOnTrz55pvGNaOiovj6668fGJbfvn2bPn36sHfvXt5//30GDRr00D7pIiIikvz0zpeIvHC2ycLQoUM5dOgQQ4cO5YcffmD9+vXUrVuXkJAQtm/fbkw46tevz8CBA4mIiODDDz8kMjIyme9ARERERJLb/v37CQwMZPLkydy4cQOz2QxgVGp7e3szY8YMSpQowU8//cSkSZOIi4sDMELvJ6kTi4+PN/afMGECH374Ic2bN2f//v1cvXo10TXd3Nzo0qUL3bp14/DhwzRv3hyLxQKAu7s7M2bMoHz58ixatIjp06c/9+9EREREnh8F5SLyUhw9epRdu3bRvn17qlevTqZMmdi7dy/r1q2jefPmNGnSxJhwmEwm6tatS79+/ejfvz8eHh7JPXwRERERSWYlSpRg7NixlCxZkvPnz7N//35jm4ODA/Hx8Xh5eTFjxgwKFCjAkiVLEu0DPFHrPltrlO7du7NmzRrjvDdv3uS7777j2LFjia7p5uZG586d6dixI0ePHiUwMBC4H7i7u7vzxRdfUL16dZo1a/Z8vggRERF5IdR6RUReisDAQPr160dgYCC5c+dmx44d+Pn5UaNGDYYOHUqmTJkA2LRpE4UKFSJz5syJWrYk/FlEREREXm//7g9u+91isRAYGMiMGTO4ffs2c+bMoWTJksZ+th7g169fZ/fu3dSqVeuJr5mw3UpQUBATJ06kV69eVKpUCVdXV6ZPn87XX39NtWrV6Nu3LwULFkx0zaioKE6cOEHp0qWTjEfr64iIiKR8Sp1E5Ll70N/fTCaTsQjngQMH6NatW5KQfMOGDUycOJGLFy8CJArGFZKLiIiIpA7x8fFGqBwTE0NUVJTRzsTe3p7atWvTr18/3Nzc6NGjBwcOHDCOdXBwwGw24+3tbYTktmMfxxaSr1ixghMnTpA2bVoqV66Mh4cHjo6ODBw4kG7duvHHH38wbdo0jh8/nuiabm5uRkhuu6atOl0huYiISMr35KuZiIg8gYdVftsmGJMnT2bXrl3UrFmTgQMHGiH5hQsX+Ouvv0iXLh3e3t4ve9giIiIikgLYKrABZs2axZ49e7h+/To5cuRg2LBh+Pj4YG9vT82aNQGYOnUqPXr0YO7cuZQoUQIgyaKdT1Nw8euvvzJq1Cjc3NyoUKECbm5uwD/V5v369QPgq6++wtHRkZ49e1KoUKFnuqaIiIikDPpfbxF5bqxWqzEp6NOnDwsXLjS2lStXjiZNmrBp0yayZs1K27ZtyZw5MwAXL15k5cqV/PrrrzRv3pxcuXIly/hFREREJPlYLBYjJPfz82PhwoVER0eTPn169u7dS7t27diyZQuxsbFGWN6/f388PT3p3Lkze/fufeYxlC1blsGDB+Pk5MTBgwcJDg4G7ofvtsVD+/XrR69evYy3IW/cuPHM1xUREZHkp4pyEXkuElb/nDp1ivPnz7Nhwwa8vLxo3LgxAL169eLWrVv8+uuvTJ8+nQYNGhAVFcWOHTvYtGkTvXv3pkWLFkDSvpQiIiIi8nqzFVz4+/sTHBzM2LFj8fX1xcXFhQULFvD5558zZswYRo8eTeXKlTGZTNSsWROLxcL48eM5deoUZcuWfeLrJXzetD3LZsiQgQYNGmCxWJg5cyZfffUV/v7+ZMmSxQjLHR0d6dWrF3fu3CFDhgx4eXm9kO9DREREXi4t5ikizyxhSD5jxgxCQ0M5fPgwYWFhAIwfP94IwG/evMnMmTNZtWoV0dHRAJQqVYpmzZoZ+2jhThEREZHU6ffff+fTTz+lY8eONGjQADc3N/bs2UPnzp0pU6YM4eHhREVFMWHCBCpWrIizszMWi4WwsLCneisx4fMrQGRkJB4eHsbvV65cYfXq1cycORNfX1+GDRtmvA2ZcNFPGxV5iIiIvPoUlIvIc9OtWzeCg4OpW7cu5cuX58iRI/zf//0fYWFhjB07llatWhn7nj59mpiYGNKkSYOnp6fRl1whuYiIiEjqZLVa+fnnn1m6dClTpkwhR44cHDp0iA8//JAaNWowaNAgNm/ezOjRo8mdOzeDBw+mSpUqmEwm4xxP8iyZMCSfPXs2f//9N8eOHaNs2bKUK1eOdu3aAY8OyxWMi4iIvH4UlIvIc7F48WImT57MiBEjaNSoEa6urgAEBQUxZ84cdu/enaiyPOHkwvazJhwiIiIiqceDKrPDwsKwWq3kzJmTixcv0rZtW/Lmzcvo0aPx8fHh3r171K9fn5s3b3L37l0CAwPx8fF54msmDNL9/PzYt28fOXLkwM3NjeDgYG7fvk2tWrWYPn068E9YPnfuXKpUqYK/vz/ZsmV7fl+CiIiIpBjqUS4iz8WZM2dImzYt1atXx9XV1Zj4VKpUifj4eEJDQxk1ahSOjo40adIkUSBu+1khuYiIiEjqYQvJAwMDqV27NkCi0Hvz5s3ExMTQrl074/O9e/dy584d/P39cXNze6qQHP7pgz5x4kQOHDjA8OHDqVmzJq6urpw/f55Ro0bx66+/MnDgQL744gsyZcpEixYtiI+PZ8aMGTRv3lxBuYiIyGtK/Q1E5KnFx8cn+t1isXDlyhViY2O5ffs2FosFBwcHbC+svP3229SrVw+4vzjTqlWrANALLSIiIiKpT8JnyaVLl9KvXz++/vrrJPtdvnyZyMhI0qVLB8DVq1fZsWMHhQoVomrVqtSsWRO4/yz6NKKioti2bRvly5enVq1auLq6EhcXR44cOZg8eTJly5Zl7dq1rF69GgBvb2/ef/99VqxYQdWqVf/jXYuIiEhKp6BcRJ6arafjunXruHv3Lvb29tSsWZPo6Gj+/PNP7O3tjVYqtomQu7s7RYoUoWLFigwfPpydO3eqglxEREQklTGbzcaz5MGDBwkLC8PHx4cvvviCgICARPvmzp0bs9nM/PnzWbBgATNmzODbb7+latWqpE+f3tjvade3uXLlCqdOnSJPnjykSZOGuLg4nJycsFgsZM6cmY8//hgXFxcOHTpkHJM+fXqKFy8OPH0wLyIiIq8GtV4Rkf9k6tSpfP311+zatQuAwoULU7JkSaZMmUL69Olp0qSJMWm5fPkyp06dokaNGhQvXpzDhw/z9ddfU6JECdKkSZOctyEiIiIiL4nFYjHarXTv3p3z588TExNDwYIFCQsLY/Lkydy7dw8/Pz8AGjVqRGhoKPPmzeP3338nU6ZMDBo0iPbt2wNPtqDmgxb3zJQpE1mzZmXPnj1YLBYjJLe3t8disZAzZ04yZcrEoUOHjFA84Tm08LyIiMjrSUG5iPwnZcuWZf78+QQEBNCrVy/y5s2Ln58fEyZMwN/fnzNnzlC5cmXs7e0JDAzkr7/+onbt2lSpUoW3336boKAg7t27p6BcREREJJWwBcyjR49m165djBs3jkqVKuHt7c3WrVsJCAhg6tSpAEZY3q9fP95++20cHR1xcXGhUKFCwIMD8H+Lj483qtf37NmDt7c3efLkwWQyUbRoUTZu3Mi8efPo1KkTJpPJ2P/ChQvExcVRsmRJ7O3t1S5QREQklVBQLiL/SaFChcidOzd//PEH77//PhkzZqRatWrY29vz3XffMW/ePObNm4fJZMLOzo6ePXtSq1YtAOLi4kiTJo1RUSQiIiIiqcOFCxcICgqicuXK+Pr6YjKZgPtr2nh4eBAXF8fUqVNxdnamQ4cOAJQrVy7ROaxW61OF5P7+/hw8eJCsWbMybdo03NzcGDNmDEePHuWbb77BbDbj5+eHyWTi4sWLrFmzhps3b1KxYkVAC86LiIikFkqpROSRElbrJHwlNVOmTPj5+TFs2DD27t1L7dq1AXj33XcpVKgQJ0+eZOvWrWTPnp1cuXLxzjvvALB3715OnjxJiRIlcHJySrb7EhEREZEXz2w24+joaPwzNjaW8PBwqlSpgslkwmKxYGdnh52dHSVKlKBdu3bs3LmTyZMnExsbS9euXYHEbVYeF1xbrVYjJO/WrRtHjhzho48+ombNmri5uWE2m8mYMSOzZ8+mV69ezJ49mz/++IOcOXNy4cIFjh8/Tu/evalRo8aL/XJEREQkRbGz6j0yEXmIh73Savv81KlT+Pn5kSVLFmbMmIGXl9cjJy5BQUF8++23HDx4kKVLl5I3b94XOXwRERERSUYJnyVnzZpF5cqVyZ8/Pw0bNiR79ux8//332NnZYbFYEoXbrVq1IjY2lqNHjzJq1CjatGnzn67/1Vdf8e233+Lv70/t2rVJkyZNkr7m169fZ8qUKQQHB3PhwgVKly5NnTp1aNy4cZJ7EBERkdebKspF5KFsk4Ju3bpx+vRp2rVrR5UqVciVKxcAefPmxdfXl++//57w8HC8vb0TveZqm4jExcUxZ84c1q5di9ls5rvvvlNILiIiIvKasz1L9u7dm7///puCBQtSpEgRateuzbfffsv8+fPx8/NLFEQfPXqUixcv0r17d3799Vc+/fRTihYtSqlSpZ7q2haLhZ07d5I3b17q1KmDi4sL8E81utVqxWKx4O3tzbhx43B0dCQyMhJXV1ejPaBCchERkdRF/6svIkmYzWbj53v37pErVy68vb2ZMGECrVu3Zs6cOezcuROADh06kCFDBubOnQtghOTwz0Tk3r17pE2bFl9fXxYuXGgswiQiIiIir5/4+Hjj52PHjnHlyhUGDhxIlSpVcHZ2pnbt2hQuXJipU6cyZ84coqKiALh06RK///476dKlo1atWrRo0YLY2FiOHTv2VNe3Wq1cvXqVgwcPkj17dlxcXIiNjU20j52dHQ4ODly+fNkIxj08PBIVfCgkFxERSV1UUS4iSdgmC1OmTKFjx44MGTIEBwcHVqxYwbZt25gxYwaurq6899571K9fn5w5c3Lq1CmOHDlC0aJFk7zS6ubmRvv27bFarcaCTSIiIiLyerKFzdOnT8fBwYFr167x7rvvGlXdJUqUYOjQoUyZMoUZM2awfv16smTJwrVr1wgODqZfv354e3tTtWpVAEJDQ5/q+nZ2dmTKlImcOXNy+vRpAKMfesLwe/v27cyePZspU6aQNWtW49iE/xQREZHUQ38iF5EH+umnn/jmm2+IiYkxJjstWrRg2rRpLF26lMaNG7Nz507GjBnDmTNnCA0NZdu2bcCDJxZOTk4KyUVERERSiSNHjjB37ly++uornJ2d8fLyAv55c7FixYpMmDCB/v37AxASEoKrqysff/wx3bp1A2Djxo04OjpSuHDhp7q21WolLi6O4sWLc/ToUaZPnw5gLEoPcPnyZTZu3Eh8fHyitylFREQk9VJQLiIPlDZtWgBu3LgBYEwqrFYrZcqUwd/fn3Xr1tGgQQOKFi0KwPfff8+pU6eSZ8AiIiIi8tJYrdZHbs+XLx/z5883qrpXr16N2WzG0dHRaM1SqFAh/Pz8WLlyJWvXrmX27Nm8//77ABw+fJjVq1eTLVs2KlSo8FRjs7Ozw2Qy0blzZzJlysS8efOYMmVKogXpFy1axKpVq2jcuDE+Pj7/7UsQERGR14qd9XFPOCLy2kv4GqptMc4zZ85Qu3Ztxo0bR8uWLR95TGxsLMuXL2fChAl88cUX1KtXL0n7FRERERF5PdieA+/evUtwcDB79+4lJiYGDw8PihcvTokSJXByciImJoadO3cyatQo3N3dGTlyJBUqVDAquxP+M6GAgAB+//13QkJC+O67755pfZsTJ07g5+fHxYsXyZkzJ+nSpSMiIoKIiAh69uxJly5dAPTsKiIiIgrKRVK7hJOThBOEmJgYypUrR7du3ejVq5exX8J9En5mNptp0aIFLi4ufP/992qzIiIiIvIasj3/RUREMGTIEI4cOcLNmzeN7U5OTrzzzjt88sknpEuXjri4OLZv386IESPImDEjQ4cOpXz58g9dKHP9+vUsWrQIi8XC+PHjyZ8//zOP+cKFC6xYsYKDBw9y+fJlypQpQ9WqValRo0aiexIREZHUTUG5iADQqVMnTp06RebMmSlYsCAZM2Zk9erVFCtWjEGDBpEjR44HTiASBufdunUjLCyM1atXKygXERERec3YnvsiIiJo2bIlnp6eNGjQgLp16xIREcHFixeZMWMGISEh5MuXj9mzZ5MrVy7u3bvHjh07jLB82LBhvPnmmw98toyJieHMmTNkypQJb2/v5z72uLg4nJycjM8VkouIiIiNgnIR4ezZs8yZM4eYmBiuXbvGmTNnuHfvHlFRUQBkyJCBzJkz4+PjQ/78+cmZMydp0qQxqnCsVitnzpxhxIgRWCwWFixYYPQ4FxEREZHXx927d+nduzc3btxg1KhRlC5dOtH2qKgoJkyYwJo1ayhQoADLli0jbdq0xMbGEhQUxOjRo3F3d2fYsGG8/fbbiY59ke1PbOe2TX/VZkVERET+zTG5ByAiL9+/JyG5cuXi008/NX6/dOkS8fHxDBs2jAMHDtC4cWP279/PwYMH2bBhA/Hx8QwfPtzY387Oju3bt/P333/zf//3fwrJRURERF5Thw4d4tixY3Tu3NkIyW1V2WazGTc3N0aOHElsbCzr1q1j8uTJjB07FpPJxNtvv83YsWPp06ePsWB8Qi8yvLadWwG5iIiIPIwqykVSGdtinXB/UhMbG4ujoyOOjv/83cw22Zk3bx5z5swhMDCQrFmzAnDlyhVu375N3rx5k5w7PDzc2E9EREREXj+zZs1i7ty5bNiwgWzZsiVpXWL7PTIykqZNm+Lg4MCyZcuMNirx8fGEh4eTI0eO5LoFERERkQdSMzaRVCRhSP7NN9/Qv39/2rVrR69evdi5cyeRkZEAxmQnc+bM3Lt3j6tXrxrnyJQpkxGSWywW47yAQnIRERGR11x0dDR2dnbcvXsXIEl/b1tluYeHB40aNeLs2bOEhIQY2x0cHIyQ3PYsKSIiIpISKCgXSSUsFosRkvv5+TF37lyOHz9OdHQ0mzZtolu3bixYsICLFy8ax2TOnBk7OztOnz5tnCMh28TIdl4REREReb05OztjNps5ceIEAGazOck+tmfDB72BmJAW0RQREZGURE8mIqmEbSIyfvx49u/fz5gxY1i5ciU///wzCxYsoEKFCnzzzTesWrXKqBAqWLAgadKk4eTJk4nOISIiIiKp0zvvvIOrqys//PADAI6OjsbbhTa2PuARERHA/TcSRURERFI6pV4iqcjFixfZsWMHb731FjVq1MDNzQ2At956iyFDhvDWW28REBDAmTNnAIiLi8NisZAtW7ZkHLWIiIiIpBS5c+fmzTffZOfOnYwePRq4X0EeHx+f6O3D8PBwtm3bRtmyZfHy8kJLY4mIiEhKp6BcJBWJiori3Llz5M6dG1dXVwBj0vLGG2/QsmVLoqKiWL58OfHx8WTOnJlly5bRunXr5By2iIiIiKQQ6dKlY/jw4WTMmJHly5czbNgwYmNjcXBwMN4+DA8PZ/Xq1QQFBdGsWTO8vLyMKnMRERGRlMoxuQcgIi+PbfISHBzMnTt3SJs2LXZ2dsYin76+vnh6ehIZGWn0lixcuDBwvz+5Wq+IiIiISK5cuVi4cCF+fn6sWbOGkJAQqlSpQokSJTh//jxBQUHs2LGDnj170rRpU+B+cYbCchEREUnJFJSLvIb+PRGx/Z4vXz7q1atHYGAg27dvx9fXF/hnwaWQkBCsViu5c+dOck6F5CIiIiJiky9fPgICApg3bx47d+5k3rx5xrZy5coxZswYmjRpAqjgQkRERF4NCspFXjO26nCA2NhYoqKiMJlMRj/yevXqsWfPHoYOHYrZbKZChQp4e3tz4cIF1q9fT2xsLCVLlkzOWxARERGRV4CPjw8jRowgJiaGAwcOYGdnR/bs2fHy8iJ9+vSAQnIRERF5ddhZtaqKyGsjYUg+depU9uzZw8mTJ8mYMSMNGzakbdu2uLq68vPPPzNr1iwuXLhAoUKFyJkzJ+fOnePYsWP06dOHrl27JvOdiIiIiMiryvY2o9qtiIiIyKtEQbnIayLhRKRr164cOHCAvHnzkjVrVnbv3s2VK1fw9fVl8ODB5MyZk127drFhwwYCAwNxdHQkb9681KtXT6/IioiIiIiIiIhIqqOgXOQ18+WXX7Js2TLGjh1LlSpV8PDw4NixY6xZs4bFixdTo0YNvvjiC6Py/NKlS7i4uODg4IC7uzugkFxERERERERERFIX9SgXeY1ERUWxa9cuihYtiq+vLyaTCYBChQrRvn17zGYzixcvply5crRt2xaALFmyAPcr0m3/VEguIiIiIiIiIiKpidIwkddIVFQUoaGheHh4YDKZsFgsRgCeNWtWGjVqRJo0afjrr78wm82JjrW1bVEfSRERERERERERSW0UlIu8Rry8vMiUKROhoaHExMRgb2+P1WrFYrEAULx4cfLnz8+1a9eIj49P5tGKiIiIiIiIiIikDArKRV5BDwq5LRYLJpOJevXqceLECaZPnw6Avb290UolNDSUa9euUaxYMZydnV/qmEVERERERERERFIq9SgXecWYzWYcHe//v+7x48e5d+8ehQoVwsnJCTs7O9599122bNnCwoULsVqtdO7cmQwZMnD+/Hl++eUXIiIiqFy5cjLfhYiIiIiIiIiISMphZ7U1MBaRFM9isRjV4f369WPTpk1ER0dTqFAhGjVqRNu2bXFycmLfvn1MnTqVXbt2kTlzZjJnzkxkZCQXLlygV69e+Pn5JfOdiIiIiIiIiIiIpBwKykVeQYMGDSIoKIg6deqQI0cOli1bxpUrV2jRogWDBg3CZDJx8uRJdu/ezbp167h16xb58+enevXq1K1bF0gcuouIiIiIiIiIiKRmCspFXgHx8fE4ODgAEB4eTo8ePWjdujUNGjTAxcWFGzdu0KdPHw4dOkTz5s0ZOnQoTk5OAFitVsxmM3Z2dkbLFoXkIiIiIiIiIiIi/1BSJvIKsIXko0eP5rfffsPFxYWaNWvi4uJCbGwsXl5eTJ8+neLFi7NixQo+++wz4uLigPtBuZOTU6JgXCG5iIiIiIiIiIjIP7SYp8grYv/+/QQGBnL79m1y5cqF2WwGwGQyER8fj7e3NzNmzKBPnz6sWrUKi8XCsGHDjMpyheMiIiIiIiIiIiIPpuRM5BVRokQJxo4dS8mSJTl//jz79+83tjk4OBAfH4+XlxczZsygQIECLFmyJNE+IiIiIiIiIiIi8mDqUS6SAlmtVuzs7JL8brFYCAwMZMaMGdy+fZs5c+ZQsmRJYz9bL/Pr16+ze/duatWqlRzDFxEREREREREReaUoKBdJYRIu3BkTE4PZbCZNmjTGZxaLhd9++42pU6cSFRWVJCw3m83Gop22/dV2RURERERERERE5OEUlIukIAlD8lmzZrFnzx6uX79Ojhw5GDZsGD4+PkZlecKwfO7cuZQoUSKZRy8iIiIiIiIiIvJqUpmpSAphsViMkNzPz4+FCxcSHR1N+vTp2bt3L+3atWPLli3ExsZib29PzZo16d+/P56ennTu3Jm9e/cm8x2IiIiIiIiIiIi8mhSUi6QQtvYo/v7+BAcHM3bsWL777jsWLlxI165duXTpEmPGjGHbtm2JwvJevXrh4ODAqVOnkvkOREREREREREREXk1qvSKSgvz+++98+umndOzYkQYNGuDm5saePXvo3LkzZcqUITw8nKioKCZMmEDFihVxdnbGYrEQFhZGrly5knv4IiIiIiIiIiIiryRVlIukEFarlTt37uDt7U2VKlVwc3Pj0KFDdO7cmRo1ajBx4kQ6duzI1atXmTRpElu3bjUqy20hucViSea7EBERERERERERefWoolwkmZjNZhwdHRN9FhYWhtVqJWfOnFy8eJG2bduSN29eRo8ejY+PD/fu3aN+/frcvHmTu3fvEhgYiI+PTzLdgYiIiIiIiIiIyOvB8fG7iMiLYAvJAwMDqV27NkCi0Hvz5s3ExMTQrl074/O9e/dy584d/P39cXNzU0guIiIiIiIiIiLyHKj1ishLFh8fb/y8dOlS+vXrx9dff51kv8uXLxMZGUm6dOkAuHr1Kjt27KBQoUJUrVqVmjVrAmq3IiIiIiIiIiIi8qxUUS7yEiVst3Lw4EHCwsLw8fHhiy++wMnJiQ4dOhj75s6dG7PZzPz58ylVqhRnzpxh9erVDB48mPTp0xv72dvr710iIiIiIiIiIiLPQj3KRV4Si8VihNrdu3fn/PnzxMTEULBgQTZu3AhA//798fPzM46ZNm0a8+bNw87OjkyZMtGhQwcjTLdardjZ2b30+xAREREREREREXndKCgXeclGjx7N2rVrGTduHJUqVcLb25utW7cSEBDA1q1bk4Tle/bswdHRERcXFwoVKgQkDt1FRERERERERETk2aj1ishLdOHCBYKCgqhcuTK+vr6YTCYA3n77bTw8PIiLi2Pq1Kk4OzsblePlypVLdA6r1aqQXERERERERERE5DlS2ibyApnN5kT/jI2NJTw8nAwZMmAymbBYLNhe6ihRogTt2rUDYPLkycyfP984T8IXP9RuRURERERERERE5PlSUC7yglgsFmPhzq+++op9+/aRMWNGMmXKxIkTJ4zKcKvVSnx8PADVq1enVKlSFClShC+//JIlS5YACsdFREREREREREReJAXlIi+IrT1K7969WbZsGdeuXcPJyYnatWuze/duo2Lc3t4eBwcHAI4ePcrFixdp0aIFFStW5NNPP2X//v3JdQsiIiIiIiIiIiKpgoJykefMVh0OcOzYMa5cucLAgQOpUqUKzs7O1K5dm8KFCzN16lTmzJlDVFQUAJcuXeL3338nXbp01KpVixYtWhAbG8uxY8eS61ZERERERERERERSBS3mKfKc2arDp0+fjoODA9euXePdd9/FxcUFuN+LfOjQoUyZMoUZM2awfv16smTJwrVr1wgODqZfv354e3tTtWpVAEJDQ5PtXkRERERERERERFIDBeUiL8CRI0eYO3cujo6O5MyZEy8vL+D+op6Ojo5UrFiRCRMmsGnTJn755RdCQkLIkSMHH3/8Me+//z4AGzduxNHRkcKFCyfnrYiIiIiIiIiIiLz27KxWqzW5ByHyqrFarY9cYPPevXvs3LmTyZMnc/r0aSZOnEjDhg1xdHQkPj7eqDq37RsXF4fZbCZdunQAHD58mM8//5zw8HC+++47smbN+qJvSUREREREREREJNVSUC7ylCwWC/b29ty9e5fg4GD27t1LTEwMHh4eFC9enBIlSuDk5ERMTAw7d+5k1KhRuLu7M3LkSCpUqIC9vb1xDts/EwoICOD3338nJCSE7777jkKFCiXTnYqIiIiIiIiIiKQOCspFnoIt2I6IiGDIkCEcOXKEmzdvGtudnJx45513+OSTT0iXLh1xcXFs376dESNGkDFjRoYOHUr58uWThOM269evZ9GiRVgsFsaPH0/+/Plf0p2JiIiIiIiIiIikXgrKRZ6Qrd1KREQELVu2xNPTkwYNGlC3bl0iIiK4ePEiM2bMICQkhHz58jF79mxy5crFvXv32LFjhxGWDxs2jDfffPOBYXlMTAxnzpwhU6ZMeHt7J8NdioiIiIiIiIiIpD4KykWewt27d+nduzc3btxg1KhRlC5dOtH2qKgoJkyYwJo1ayhQoADLli0jbdq0xMbGEhQUxOjRo3F3d2fYsGG8/fbbiY59XN9zEREREREREREReTEe3P9BRB7o0KFDHDt2jAYNGhghucViAcBsNuPm5sbIkSOpW7cuISEhTJ48mfj4eEwmE2+//TZjx47l7Nmz3LhxI8m5FZKLiIiIiIiIiIgkD1WUizyFWbNmMXfuXDZs2EC2bNmSLMZp+z0yMpKmTZvi4ODAsmXLjDYq8fHxhIeHkyNHjuS6BREREREREREREfkXVZSLPIXo6Gjs7Oy4e/cuQJI+4/b29pjNZjw8PGjUqBFnz54lJCTE2O7g4GCE5LZKdBEREREREREREUleCspFnoKzszNms5kTJ04A99ut/JuDgwMAefPmfeS5HrSYp4iIiIiIiIiIiLx8SupEnsI777yDq6srP/zwAwCOjo7Ex8cn2sfWazwiIgKATJkyvdxBioiIiIiIiIiIyFNRUC7yFHLnzs2bb77Jzp07GT16NHC/gjw+Pj5RK5Xw8HC2bdtG2bJl8fLyQksBiIiIiIiIiIiIpFwKykWeQrp06Rg+fDgZM2Zk+fLlDBs2jNjYWBwcHIxWKuHh4axevZqgoCCaNWuGl5eXUWUuIiIiIiIiIiIiKY+dVaWuIk/t5MmT+Pn5ceHCBYoUKUKVKlUoUaIE58+fJygoiB07dtCjRw+6du0KgNVqVVguIiIiIiIiIiKSQikoF/mPwsLCmDdvHjt37iQsLMz4vFy5cjRr1owmTZoAYLFYtHCniIiIiIiIiIhICqagXOQZREdHExMTw4EDB7CzsyN79ux4eXmRPn16QCG5iIiIiIiIiIjIq0BBuchzZmuzonYrIiIiIiIiIiIirwYF5SIiIiIiIiIiIiKSqqknhIiIiIiIiIiIiIikagrKRURERERERERERCRVU1AuIiIiIiIiIiIiIqmagnIRERERERERERERSdUUlIuIiIiIiIiIiIhIqqagXERERERERERERERSNQXlIiIiIiIiIiIiIpKqKSgXERERERERERERkVRNQbmIiIiIiIiIiIiIpGoKykVEREREREREREQkVVNQLiIiIiIiIiIiIiKpmoJyEREREREREREREUnVFJSLiIiIiIiIiIiISKqmoFxEREREREREREREUjUF5SIiIiIiIiIiIiKSqikoFxEREREREREREZFUTUG5iIiIiIiIiIiIiKRqCspFREREREREREREJFVTUC4iIiIiIiIiIiIiqZqCchERERERERERERFJ1RSUi4iIiIiIiIiIiEiqpqBcRERERERERERERFI1BeUiIiIiIiIiIiIikqopKBcREREReY3s3LmTggULUrBgQXbu3PnSrz9z5kzj+iIiIiIirwrH5B6AiIiIiDxeXFwcv/32G5s3b+bgwYNcv36dqKgo3NzcyJ49O8WLF6dWrVpUrFgRe3vVQoiIiIiIiDwNBeUiIiIiKdzGjRuZPHkyYWFhSbbdvHmTmzdvcuTIEX744Qdy586Nv78/77777ssfqIiIiIiIyCtKQbmIiIhICjZv3jymTp2K1WoF4K233qJ69erkzZsXDw8Pbt26RWhoKH/88Qfbt2/nzJkzTJ06VUG5iIiIiIjIU1BQLiIiIpJCrVmzhi+//BIAb29vpk6dSsWKFZPs99Zbb9GmTRuOHz/OxIkTuXnz5kseqYiIiIiIyKtNQbmIiIhICnT58mU+/vhjANKkScOiRYvIly/fI48pWLAgCxcu5Oeff34ZQxQREREREXltKCgXERERSYECAgK4e/cuAL17935sSG5jb29Po0aNHrp9z549/Pjjj+zdu5erV6/i7OxMjhw5qFq1Ku3bt8fb2/uBx+3cuZN27doB8P3331O+fHlWrlzJqlWrOH36NHFxceTJk4e2bdvSuHFj47jY2Fh++uknVq9ezZkzZ4iLi6NgwYK0a9eOunXrPvBa58+fp3r16gBMmjSJpk2bsn79en788UeOHz/OnTt3yJYtGzVq1KBLly54eno+8juJjY1lxYoVBAYGcuLECaKiovD09KRIkSLUr1+fBg0aPHQB1A8//JBdu3ZRvnx5Fi1a9NBrzJw5k1mzZgFw/PjxJNsLFiwIQK9evejduzcHDx4kICCAPXv2cP36dby8vKhYsSLdunUjb968j7yfmJgYFi5cyPr16zl37hzOzs688cYbNG3alObNmz/y2KcVGxvL6tWr+f333wkODubGjRu4u7uTNWtWSpUqRd26dSlbtix2dnZPdc6tW7eydetWDhw4wLlz57h79y5ubm7kzJmTd955hzZt2jz030WboKAgVqxYwf79+7l27Rp2dnakT5+eDBkyULZsWd555x0qVaqU5LjIyEiWLFnCX3/9xenTp7l79y7u7u54e3vzxhtvULlyZWrVqkX69Omf+vsSERERkVeXgnIRERGRFMZqtbJmzRoAXF1def/995/5nBaLhQkTJrBkyZJEn8fGxhIcHExwcDBLlixh+vTpVK5c+ZHnMpvNdO/enT///DPR54cOHWLo0KEcPnyYkSNHcuvWLXr27Mnu3bsT7bdv3z727dvHuXPn6Nat22PHPnz4cH766adEn4WGhvL111+zZs0aAgICHvqHhAsXLtClSxdOnTqV6PNr166xefNmNm/ezI8//sicOXNIly7dY8fyPCxevJhJkyZhNpuNz65cucL//vc/NmzYwNdff82bb775wGMvX75Mhw4dOH36tPFZdHS08Z3+9ttvdOjQ4bmMMzg4mF69enH+/PlEn1+/fp3r169z5MgRlixZwu+//06OHDme+LyjR49m9erVST63LUx78OBBFi9ezJw5cyhbtuwDzzFp0iQCAgKSfH7hwgUuXLjAgQMHWLVqFTt37ky0/dSpU3To0IErV64k+vzGjRvcuHGDU6dOsXHjRiwWC23btn3iexIRERGRV5+CchEREZEU5uTJk1y/fh2AsmXL4ubm9sznnDJlihGS58iRgy5dulCkSBGio6P5448/WLJkCbdv38bPz4+VK1dSqFChh55r+vTpHDhwgAYNGtCgQQMyZMjAmTNnmDlzJqGhoSxatIhq1aqxaNEi9u3bxwcffICvry/p0qUjODiY6dOnc+XKFWbMmEH16tXJnz//Q6+1dOlSDh06RIkSJejQoQO5cuUiIiKCNWvWsG7dOq5evUqnTp1Yu3Ztku/pzp07tG/fnrCwMABq1KhBs2bNyJQpE+fPn2fJkiXs2rWLvXv30q1bN5YsWYKDg8Mzf9ePYquitlXVFyhQgHv37rFhwwa+//57oqOjGTJkCL/++ismkynRsWazmW7duhkh+dtvv80HH3xAlixZCA8PZ+nSpWzZsuW59Kg/efIkrVu3Nt5q8PX1pW7duvj4+GCxWAgNDWXbtm1s3Ljxqc9tNpvx8fHB19eX4sWLky1bNhwcHLh48SLbt2/np59+4ubNm/Tq1YtffvklSWX3n3/+aYTkBQsW5IMPPiBv3ry4u7tz+/ZtTp8+zfbt29m3b1+Saw8ePJgrV67g5OREixYteOedd8iQIQNWq5UrV65w8OBBfv3116f/wkRERETklaegXERERCSFOXbsmPFz0aJFn/l8x48fZ+HChQAUKFCAJUuW4OHhYWyvUKEClStXxs/Pj7i4OEaNGsWKFSseer4DBw4wfPhw2rdvn2ic5cuXp3bt2kRFRTFw4EBu3LjBrFmzqFGjRqL9ihUrRpMmTYiPj+fHH39k5MiRD73WoUOHqFq1KnPmzMHR8Z9H16pVq5IvXz5mzJjBpUuXmD17NkOHDk107KxZs4yQvHv37vTr18/YVqxYMWrVqsXgwYP5+eef2bdvHz/++COtW7d+zLf5bPbv30/VqlWZNWtWoiC8XLlypEuXjmnTpnHx4kU2bdqEr69vomOXLVvG0aNHAXj//fcZN25covvx9fV9YPX9fzF48GDu3r2Lvb09U6ZMoV69eom2lyxZksaNG3Pjxg3SpEnzVOfu06cPPj4+Sdq1FC9enFq1atG6dWtatWrF9evXWbRoUaL/3ADWr18PQPbs2Vm2bBlp06ZNtL18+fK0atUqyR8MwsLCOHLkCADDhg17YMV4jRo16N+/P5GRkU91TyIiIiLy6ntwM0YRERERSTY3btwwfn4efZKXLVuGxWIBYPz48YlCcpt33nmHZs2aAXDw4EEOHjz40POVLFkyUUhukzFjRiPcvX79OnXr1k0UktsUKlTIaKmxd+/eR47dZDIxfvz4RCG5Tffu3SlQoAAAP/30E7Gxsca22NhYVq5cCUC+fPno3bt3kuPt7OwYO3as0XLl321pXgRnZ2cmTZqUpFoc7vdDd3JyAu73kv+3ZcuWAZAhQwb8/f0feP4RI0Y8trf342zZssUI5Nu2bZskJE/Iy8sLFxeXpzp/zpw5H9nTvGDBgrRo0QKA33//Pcn2a9euAVCkSJEkIXlC/26lc/XqVePncuXKPfQ4Ozu7x/a9FxEREZHXj4JyERERkRTmzp07xs9PW637IEFBQcD9wLhUqVIP3a9ly5ZJjnmQhy3CCf8sWvm4/WytXWwV3w9TuXJlMmfO/MBt9vb2xsKht27dMqqFAQ4fPmxUBTdp0uShLVXc3NyoU6cOcL/dyL97Vz9vb7311kP/+OHm5kbu3LmBpN/L5cuXjT7rderUeei/F2nTpjXu57/atGmT8fPz6nf+KLdu3eLcuXOcOHGCkJAQQkJCjD/mnDx5kri4uET7Z8yYEYDdu3dz7ty5J76O7TjggT3SRURERCR1U+sVERERkRQmYZVsdHT0M50rNjaWM2fOAFCiRIlH7lu4cGGcnJyIi4sjJCTkofu98cYbD93m7u5u/GwLfR+1X8I/CjxI8eLFH7k94T2dOHGC0qVLGz/blCxZ8pHnKFmypFGtfeLECTJlyvTI/Z9Fnjx5HrndVsn87+8l4X8exYoVe+Q5SpQo8UzV8bZq8mzZspE9e/b/fJ5HOX78OAEBAWzZsiVRpfe/WSwWIiMjE/1xoXHjxqxZs4abN29Sv359qlevzttvv025cuXIlSvXQ8/l4+NDuXLl2LNnDwEBAWzdupWaNWtSvnx5SpUq9Vz+KCUiIiIiry4F5SIiIiIpjJeXl/FzRETEM53r1q1bxs8ZMmR45L5OTk6kS5eOq1evJjru3x7VasPe3v6p9rO1hHmYx7WeSbg9YU/qhON/3DkSfi+Puu/n4XFh7MO+l4Q9s5/mO/kvbK1/ElZgP08rVqxg7NixmM3mJ9o/JiYm0e+VKlVi9OjRfPbZZ8TExLBu3TrWrVsHQObMmXn33Xdp3br1Axek/fLLL+nbty/79u3j5MmTnDx5kjlz5uDk5ESpUqWoV68eTZs2xdnZ+dlvVEREREReKWq9IiIiIpLCJAz4ErYTeVaP6gttY7Van9v1nofHjflJxvs8zpHcEo7xZd3Pk/z78rROnTplhOTp06dnyJAhrFq1ip07d3L48GGOHz/O8ePH+eSTT4xjHnQ/bdq04Y8//sDf35+qVasabyhcvnyZH3/8kcaNGzN16tQkx2XOnJkffviBgIAAWrduTf78+bGzsyMuLo7du3czduxY6tevT2ho6HO/dxERERFJ2VRRLiIiIpLC5MuXDy8vL27cuMHevXuJiorCzc3tP50r4aKEj2pxAWA2m42K6pSymKFt4caHuX79uvFzwsUbE47/2rVrj2wXk7Bq/9/3bQuLH1f5fvfu3Uduf1b/vp9HSfid/Be2NxpeRL/21atXYzabcXBwYNGiReTNm/eB+yWsoH+Y9OnT06FDBzp06IDFYiE4OJjffvuNpUuXEhkZyVdffUXx4sUfuKBspUqVqFSpEnC/gj4oKIgff/yRHTt2cO7cOfr378+aNWue6V5FRERE5NWiinIRERGRFMbOzo4mTZoA9wPYFStW/OdzmUwmo1f4wYMHH7nv0aNHjYUTCxQo8J+v+TwdOnToibfnz5//gT8fOHDgkedI+L0kPA7+6Rf/uOD2RVcgJ/zP4/Dhw4/c93Hf2eMUKVIEgIsXL3LhwoVnOte/nTx5Erj/1sTDQnJ4/D3+m729PUWLFqV///4EBAQYn69fv/6xx3p5eVG3bl2+++47qlWrBkBwcLDR219EREREUgcF5SIiIiIpUIcOHYx+1jNmzODUqVNPdJzFYuH//u//En1mq5w9efIk+/fvf+ixK1euTHJMctu2bdtDK5stFgurV68G7ldcFy1a1NhWrFgxPDw8AFizZg3x8fEPPEdUVJQRpubLly/JQp45cuQA7gfhUVFRDzzH9evXCQoKeoq7enqZM2c2guXAwMAkfbtt7t69+0Th8KPYwmIgUej8PNj6kj9qkdqrV6/y+++//+drFC1a1KjAT9i3/kkk/Pfe1qtdRERERFIHBeUiIiIiKVDmzJkZNWoUcD/8/PDDD9m1a9cjjzl58iSdOnXi22+/TfT5Bx98YCwSOWrUKG7fvp3k2K1btxpBeYkSJShRosTzuI1nFhsby+jRox8YdM+fP5+QkBAAmjVrhslkMraZTCaaN28OwIkTJ5g1a1aS461WK+PHjzcC0TZt2iTZp3z58gDExcWxePHiJNvj4uIYPnz4Q4Pr5+mDDz4A7gfJkydPfuA+kyZNeuYFYN966y3jjw6LFy9m7dq1D9335s2bT3Xvtrcbzpw588A/2kRHRzNw4MBHnnPdunWP3H7o0CGjhVD27NmNz4ODgwkODn7ocVarle3btwP33+pIeKyIiIiIvP7Uo1xEREQkhWrWrBmXLl1ixowZRERE8OGHH/L2229TrVo18ubNi4eHB7du3SI0NJRNmzaxZcsW4uPjEy0GClCwYEE6duzIggULCAkJoUmTJnTp0oXChQsTExPDn3/+yaJFi4iPj8fJyYlx48Yl0x0nVaxYMf78808++OADOnToQK5cuYiIiGDNmjVGgJslSxZ69OiR5NiePXuyYcMGwsLCmDNnDidOnKBZs2ZkypSJ8+fPs3jxYuOPD6VLl+b9999Pco6qVauSPXt2Lly4wPTp07lx4wa+vr44Oztz4sQJFi1aRHBwMCVLlnxsi5dn9cEHH7Bq1SqOHj3KsmXLOH/+PK1atSJr1qyEh4ezbNkytm7dSvHixZ+5/crnn39O8+bNuXv3LgMGDCAwMJC6devi4+ODxWLh7NmzbN++ncDAQH7++Wej8v5xGjZsyKJFi7BYLHTt2pXOnTtTunRpnJ2dOXz4MN999x1nzpyhTJky/P333w88x5QpUxgzZgzVq1enXLly5M6dG1dXV27evMnevXuNP2g4ODjQsmVL47jg4GD8/f0pXrw47733HkWLFiVDhgyYzWbOnz/PqlWr2LZtGwDVq1dP8naBiIiIiLzeFJSLiIiIpGA9e/Ykf/78TJ48mQsXLrB161a2bt360P3z58/P4MGDk3w+aNAgoqOjWbp0KWFhYYwePTrJPu7u7kybNo3ChQs/13t4Fm3atGH37t2sWrWK/v37J9meMWNGFixYgLu7e5Jtbm5uBAQE0KVLF06fPs2GDRvYsGFDkv3KlCnD3LlzcXBwSLLNZDLx2Wef0aVLF+7evUtAQECidiQODg4MGzaM27dvv/Cg3NHRka+++or27dsTGhrKli1b2LJlS6J93n77bTp27EinTp2e6Vp58+Zl0aJF9OrVi/DwcH777Td+++23Zzon3H9boXfv3sycOZNbt27xxRdfJNnno48+In/+/A8NyuF+z/jVq1cbrXf+zdnZmXHjxlGsWLEk2w4dOvTIPySULVuWTz755AnuRkREREReJwrKRURERFK4mjVr8u677/Lrr7+yefNmDh06xPXr17lz5w5ubm5kz56dkiVLUrNmTSpWrIidnV2Sc9jb2zNmzBjq1avHDz/8wN69e7l27RomkwkfHx+qVq1K+/bt8fb2ToY7fLRJkyZRuXJlfvzxR0JCQrh79y7ZsmWjRo0adO3a1ehH/SA5cuTg//7v/1ixYgWBgYGEhIRw584dPD09KVy4MA0aNKBBgwZGa5oHKVeuHD/99BNfffUVQUFB3Lhxg3Tp0lGmTBk6dOhAmTJlmDlz5ou49SQyZ87MmjVrWLhwIevWrePcuXOYTCby5MlDo0aNaNWqFbt3734u1ypWrBiBgYGsWLGCjRs3cuLECSIjI0mXLh2ZMmWibNmy1KtX74mryW169epF8eLF+f777zl06BB3794lffr0lChRglatWlG5cmVWrVr10OMXL17Mtm3b2L59OydPnuTatWtERkbi4uJCrly5qFixIh988AE+Pj6Jjqtfvz7Zs2dn+/bt7Nmzh0uXLhEREYHZbCZ9+vQUKVKEevXqUbdu3Uf++yAiIiIiryc7q9VqTe5BiIiIiIjYnD9/nurVqwP3Q/KmTZsm84hEREREROR1p1IJEREREREREREREUnVFJSLiIiIiIiIiIiISKqmoFxEREREREREREREUjUF5SIiIiIiIiIiIiKSqikoFxEREREREREREZFUzc5qtVqTexAiIiIiIiIiIiIiIslFFeUiIiIiIiIiIiIikqopKBcRERERERERERGRVE1BuYiIiIiIiIiIiIikagrKRURERERERERERCRVU1AuIiIiIiIiIiIiIqmagnIRERERERERERERSdUUlIuIiIiIiIiIiIhIqqagXERERERERERERERSNQXlIiIiIiIiIiIiIpKq/T8t8tYrYSZcGQAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -264,7 +248,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -292,7 +276,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -320,7 +304,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -348,7 +332,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -376,7 +360,7 @@
     },
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 1700x500 with 2 Axes>"
       ]
@@ -390,7 +374,7 @@
     "\n",
     "\n",
     "for group in scores_preprocessed_hierarchy.groups:\n",
-    "    create_plot(scores_preprocessed_hierarchy.get_group(group), \"boxplot_{}.png\".format(group), \"class\")"
+    "    create_plot(scores_preprocessed_hierarchy.get_group(group), \"boxplot_{}.png\".format(group), \"class\", \"Compound class\")"
    ]
   }
  ],
diff --git a/analysis/Python_scripts/plotting.py b/analysis/Python_scripts/plotting.py
index 91b951b..fe8014e 100644
--- a/analysis/Python_scripts/plotting.py
+++ b/analysis/Python_scripts/plotting.py
@@ -84,7 +84,7 @@ def plot_histogram(x, xaxis_title='', title=''):
     # Display the plot
     fig.show()
 
-def create_plot(df, path, grouping_column):
+def create_plot(df, path, grouping_column, xlabel):
     sns.set_style(style='white')
     plt.figure(figsize=(17, 5))
 
@@ -107,7 +107,8 @@ def create_plot(df, path, grouping_column):
     # ax.set_ylim([0, 5])  # Set y-axis limits
     # ax.yaxis.set_major_locator(plt.MultipleLocator(1))  # Set major tick marks
     ax.set_ylabel('Match values', fontsize=20)  # Set y-axis label
-    ax.set_xlabel('Chemical composition', fontsize=20)  # Set x-axis label and font size
+    if xlabel:
+        ax.set_xlabel(xlabel, fontsize=20)  # Set x-axis label and font size
     ax.tick_params(axis='x', labelsize=13)  # Set font size of x-axis tick labels
     # ax.tick_params(axis='y', labelsize=13)  # Set font size of y-axis tick labels
     # ax.yaxis.labelpad = 10
@@ -140,15 +141,17 @@ def create_plot(df, path, grouping_column):
 
 
 def scatterplot_matplotlib(df):
-    plt.figure(figsize=(18, 8))
+    fig = plt.figure(figsize=(18, 6))
     scatter = plt.scatter(
-    df['CosineHungarian_0.01_0.0_1.0_scores'],
-    df['CosineHungarian_0.01_0.0_1.0_matches'],
-    s=df['FractionQuery'] * 200,  # Adjust the size scaling factor as needed
-    c=df['FractionReference'],
-    cmap='viridis',  # change the colorscale as needed
-    alpha=0.5
-)
+        df['CosineHungarian_0.01_0.0_1.0_scores'],
+        df['CosineHungarian_0.01_0.0_1.0_matches'],
+        s=df['FractionQuery'] * 200,  # Adjust the size scaling factor as needed
+        c=df['FractionReference'] * 100,
+        cmap='viridis',  # change the colorscale as needed
+        alpha=0.5,
+        vmin=0,
+        vmax=100
+    )
     plt.colorbar(scatter).set_label('Reference Matched %')
     plt.xlabel('Score')
     plt.ylabel('Matches')
@@ -158,5 +161,4 @@ def scatterplot_matplotlib(df):
     for size in sizes:
         plt.scatter([], [], c='c', alpha=0.5, s=size * 2 , label=str(size))
     plt.legend(scatterpoints=1, title='Query Matched %', labelspacing=1, loc='upper left')
-
-    plt.show()
\ No newline at end of file
+    return fig
\ No newline at end of file
diff --git a/analysis/Python_scripts/scatterplot.ipynb b/analysis/Python_scripts/scatterplot.ipynb
index c771181..eb07709 100644
--- a/analysis/Python_scripts/scatterplot.ipynb
+++ b/analysis/Python_scripts/scatterplot.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 94,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11,7 +11,7 @@
     "from matchms.importing import load_from_msp\n",
     "from matchms.logging_functions import set_matchms_logger_level\n",
     "\n",
-    "from utils import is_spectrum_for_compound, append_classes\n",
+    "from utils import is_spectrum_for_compound, append_classes, load_spectra_metadata\n",
     "from plotting import scatterplot_matplotlib\n",
     "\n",
     "set_matchms_logger_level('ERROR')"
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 95,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 97,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 98,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 99,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -80,7 +80,7 @@
     "        y=df['CosineHungarian_0.01_0.0_1.0_matches'],\n",
     "        mode='markers+text',\n",
     "        marker=dict(\n",
-    "            size=df['FractionQuery'] * 20,  # Adjust the size scaling factor as needed\n",
+    "            size=(df['FractionQuery'] * 20) + 2,  # Adjust the size scaling factor as needed\n",
     "            color=df['FractionReference'],\n",
     "            colorscale='Viridis',  # change the colorscale as needed\n",
     "            colorbar=dict(title='Reference Matched %'),\n",
@@ -88,15 +88,22 @@
     "            cmax=1,  # Set the maximum color limit\n",
     "            opacity=0.5\n",
     "        ),\n",
-    "        # text=df['reference'],\n",
-    "        # textposition='top center',\n",
+    "        text=df['reference'],\n",
+    "        textposition='middle right',\n",
+    "        # textposition=['top right' if i % 2 == 0 else 'bottom right' for i in range(len(df))],  # Make text positions alternating\n",
     "        name='Matched Ions'\n",
     "    ))\n",
     "    fig.update_layout(\n",
     "        xaxis_title='Score',\n",
     "        yaxis_title='Matches',\n",
     "        title_text=title,\n",
-    "        xaxis=dict(range=[0, 1])  # Set the x-axis limits\n",
+    "        xaxis=dict(range=[0, 1]),  # Set the x-axis limits\n",
+    "        # yaxis=dict(\n",
+    "        #     range=[0, 70],\n",
+    "        #     type='linear',\n",
+    "        # ),\n",
+    "        width=800,\n",
+    "        height=600\n",
     "    )\n",
     "    fig.show()\n",
     "    return fig"
@@ -104,38 +111,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 100,
    "metadata": {},
    "outputs": [
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-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
-       "            /**\n",
-       "* plotly.js v2.27.0\n",
-       "* Copyright 2012-2023, Plotly, Inc.\n",
-       "* All rights reserved.\n",
-       "* Licensed under the MIT license\n",
-       "*/\n",
-       "/*! For license information please see plotly.min.js.LICENSE.txt */\n",
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r,s,l=o(t,e),u=l.on,c=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(u.length||c.length){for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}}},25625:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901);t.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var u=a(\"borderwidth\"),c=a(\"showarrow\");if(a(\"text\",c?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),c){var 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F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(u.stroke,e.bordercolor).call(u.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return r.call(c.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,W),r}function W(){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(),v=c.bBox((f?n:G).node()),b=v.width,_=v.height,A=e.width||b,z=e.height||_,B=Math.round(A+2*N),H=Math.round(z+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,W=[\"x\",\"y\"],X=0;X<W.length;X++){var J,K,$,Q,tt,et=W[X],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ut=e[et+\"anchor\"],ct=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(Y=!0):Y=!0),J=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ht;\"x\"===et?($=e[et],J=dt?it._offset+it._length*$:J=T.l+T.w*$):($=1-e[et],J=dt?it._offset+it._length*$:J=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=J;var vt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(vt=1-vt),ft.tail=it._offset+it._length*vt):\"paper\"===gt?\"y\"===et?(vt=1-vt,ft.tail=T.t+T.h*vt):ft.tail=T.l+T.w*vt:ft.tail=it._offset+it.r2p(vt),K=tt}else ft.tail=J+vt,K=tt+vt;ft.text=ft.tail+tt;var yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else K=tt=lt*q(Q,ut),ft.text=J+tt;ft.text+=ct,tt+=ct,K+=ct,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,H-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),I.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var 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x,b,_,w=\"paper\"===h(\"yref\"),T=\"paper\"===h(\"xref\"),k=\"left\";g?(_=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,b=.5):(_=w?\"bottom\":\"top\",k=\"center\",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(f,c,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:b}},\"y\"),h(\"xanchor\",k),h(\"xpad\"),h(\"yanchor\",_),h(\"ypad\"),n.noneOrAll(f,c,[\"x\",\"y\"]),h(\"outlinecolor\"),h(\"outlinewidth\"),h(\"bordercolor\"),h(\"borderwidth\"),h(\"bgcolor\");var A=n.coerce(f,c,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");h(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(f,c,h,\"linear\");var 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f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&m?\"-\"+m:\"\"),e._traceIndex=n.index,e._propPrefix=(m?m+\".\":\"\")+\"colorbar.\",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,\"rect\",A.cbbg),u.ensureSingle(r,\"g\",A.cbfills),u.ensureSingle(r,\"g\",A.cblines),u.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),u.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,D=o?e.y:1-e.y,z=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,H=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),q=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},Z=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,H),W=Y.fill,X=Y.line,J=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),K=J/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*K:D-it*K,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=K,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,H);lt.position=K+(o?I+P/B.w:D+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=D+O/B.h,lt.titlex=ot+P/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=Z.start;var ct=Z.size,ft=u.constrain($/50,4,15)+1,ht=(H[1]-H[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(W);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=H.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?H[0]:(W[a]+W[a-1])/2,a===W.length-1?H[1]:(W[a]+W[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(J,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?X:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+J).call(p.lineGroupStyle,j.width,q(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+J+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"<br>\").length;i=B.t+et*a+10-J-w*yt*l}_t((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=J+M/2;-1===gt.indexOf(\"inside\")&&(n=p.bBox(mt.node()),s+=o?n.width:n.height),dt=vt.select(\"text\");var u=0,f=o&&\"top\"===V,v=!o&&\"right\"===V,g=0;if(dt.node()&&!dt.classed(A.jsPlaceholder)){var m,x=vt.select(\".h\"+lt._id+\"title-math-group\").node();x&&(o&&ut||!o&&!ut)?(u=(n=p.bBox(x)).width,m=n.height):(u=(n=p.bBox(vt.node())).right-B.l-(o?rt:st),m=n.bottom-B.t-(o?st:rt),o||\"top\"!==V||(s+=n.height,g=n.height)),v&&(dt.attr(\"transform\",c(u/2+yt/2,0)),u*=2),s=Math.max(s,o?u:m)}var b=2*(o?P:O)+s+S+M/2,w=0;!o&&U.text&&\"bottom\"===C&&D<=0&&(b+=w=b/2,g+=w),F._hColorbarMoveTitle=w,F._hColorbarMoveCBTitle=g;var N=S+M,j=(o?rt:st)-N/2-(o?P:0),H=(o?st:rt)-(o?$:O+g-w);t.select(\".\"+A.cbbg).attr(\"x\",j).attr(\"y\",H).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var q=v?Math.max(u-10,0):0;t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?rt:st+P)+q).attr(\"y\",(o?st+O-$:rt)+(f?xt:0)).attr(o?\"width\":\"height\",Math.max(J,2)).attr(o?\"height\":\"width\",Math.max($-(o?2*O+xt:2*P+q),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M});var G=o?nt*b:0,Z=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,Z=z?B.t-Z:-Z,t.attr(\"transform\",c(G,Z)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll(\"text\"),W=Y[0].length,X=t.select(\".\"+A.cbbg).node(),K=p.bBox(X),Q=p.getTranslate(t);Y.each((function(t,e){var r=W-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=K.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=K.left+Q.x+st+S+2-s)<0&&(n=0)}n&&(W<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var tt={},et=T[L],at=k[L],ot=T[C],ct=k[C],ft=b-J;o?(\"pixels\"===h?(tt.y=D,tt.t=$*ot,tt.b=$*ct):(tt.t=tt.b=0,tt.yt=D+l*ot,tt.yb=D-l*ct),\"pixels\"===_?(tt.x=I,tt.l=b*et,tt.r=b*at):(tt.l=ft*et,tt.r=ft*at,tt.xl=I-y*et,tt.xr=I+y*at)):(\"pixels\"===h?(tt.x=I,tt.l=$*et,tt.r=$*at):(tt.l=tt.r=0,tt.xl=I+l*et,tt.xr=I-l*at),\"pixels\"===_?(tt.y=1-D,tt.t=b*ot,tt.b=b*ct):(tt.t=ft*ot,tt.b=ft*ct,tt.yt=D-y*ot,tt.yb=D+y*ct));var ht=e.y<.5?\"b\":\"t\",pt=e.x<.5?\"l\":\"r\";r._fullLayout._reservedMargin[e._id]={};var bt={r:F.width-j-G,l:j+tt.r,b:F.height-H-Z,t:H+tt.b};R&&z?a.autoMargin(r,e._id,tt):R?r._fullLayout._reservedMargin[e._id][ht]=bt[ht]:z||o?r._fullLayout._reservedMargin[e._id][pt]=bt[pt]:r._fullLayout._reservedMargin[e._id][ht]=bt[ht]}],r)}(r,e,t);y&&y.then&&(t._promises||[]).push(y),t._context.edits.colorbarPosition&&function(t,e,r){var 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g(e,r,\"M-\"+i+\",-\"+n+\"H\"+n+\"V\"+i+\"Z\")}},\"triangle-se\":{n:10,f:function(t,e,r){if(v(e))return u;var n=l(.6*t,2),i=l(1.2*t,2);return g(e,r,\"M\"+n+\",-\"+i+\"V\"+n+\"H-\"+i+\"Z\")}},\"triangle-sw\":{n:11,f:function(t,e,r){if(v(e))return u;var n=l(.6*t,2),i=l(1.2*t,2);return g(e,r,\"M\"+i+\",\"+n+\"H-\"+n+\"V-\"+i+\"Z\")}},\"triangle-nw\":{n:12,f:function(t,e,r){if(v(e))return u;var n=l(.6*t,2),i=l(1.2*t,2);return g(e,r,\"M-\"+n+\",\"+i+\"V-\"+n+\"H\"+i+\"Z\")}},pentagon:{n:13,f:function(t,e,r){if(v(e))return u;var n=l(.951*t,2),i=l(.588*t,2),a=l(-t,2),o=l(-.309*t,2);return g(e,r,\"M\"+n+\",\"+o+\"L\"+i+\",\"+l(.809*t,2)+\"H-\"+i+\"L-\"+n+\",\"+o+\"L0,\"+a+\"Z\")}},hexagon:{n:14,f:function(t,e,r){if(v(e))return u;var n=l(t,2),i=l(t/2,2),a=l(t*f/2,2);return g(e,r,\"M\"+a+\",-\"+i+\"V\"+i+\"L0,\"+n+\"L-\"+a+\",\"+i+\"V-\"+i+\"L0,-\"+n+\"Z\")}},hexagon2:{n:15,f:function(t,e,r){if(v(e))return u;var n=l(t,2),i=l(t/2,2),a=l(t*f/2,2);return 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c=i.traceIs(u,\"2dMap\")?a:n.fillArray;c(u.hoverinfo,l,\"hi\",o(u)),u.hovertemplate&&c(u.hovertemplate,l,\"ht\"),u.hoverlabel&&(c(u.hoverlabel.bgcolor,l,\"hbg\"),c(u.hoverlabel.bordercolor,l,\"hbc\"),c(u.hoverlabel.font.size,l,\"hts\"),c(u.hoverlabel.font.color,l,\"htc\"),c(u.hoverlabel.font.family,l,\"htf\"),c(u.hoverlabel.namelength,l,\"hnl\"),c(u.hoverlabel.align,l,\"hta\"))}}}},75914:function(t,e,r){\"use strict\";var n=r(73972),i=r(88335).hover;t.exports=function(t,e,r){var a=n.getComponentMethod(\"annotations\",\"onClick\")(t,t._hoverdata);function o(){t.emit(\"plotly_click\",{points:t._hoverdata,event:e})}void 0!==r&&i(t,e,r,!0),t._hoverdata&&e&&e.target&&(a&&a.then?a.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},26675:function(t){\"use strict\";t.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},54268:function(t,e,r){\"use strict\";var n=r(71828),i=r(77914),a=r(38048);t.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),a(t,e,(function(r,a){return n.coerce(t,e,i,r,a)}),s)}},23469:function(t,e,r){\"use strict\";var n=r(71828);e.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},e.isTraceInSubplots=function(t,r){if(\"splom\"===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a<n.length;a++)for(var o=0;o<i.length;o++)if(-1!==r.indexOf(n[a]+i[o]))return!0;return!1}return-1!==r.indexOf(e.getSubplot(t))},e.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},e.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},e.getDistanceFunction=function(t,r,n,i){return\"closest\"===t?i||e.quadrature(r,n):\"x\"===t.charAt(0)?r:n},e.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var 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t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=(\"x\"===xt||\"y\"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==H&&0!==nt.length){var _t=pt(nt.filter((function(t){return t.ya.showspikes})),H,bt);at.hLinePoint=dt(_t);var wt=pt(nt.filter((function(t){return t.xa.showspikes})),H,bt);at.vLinePoint=dt(wt)}if(0===nt.length){var Tt=d.unhoverRaw(t,e);return!m||null===at.hLinePoint&&null===at.vLinePoint||B(gt)&&F(t,at,vt),Tt}if(m&&B(gt)&&F(t,at,vt),y.isXYhover($)&&0!==nt[0].length&&\"splom\"!==nt[0].trace.type){var kt=nt[0],At=(nt=E[kt.trace.type]?nt.filter((function(t){return t.trace.index===kt.trace.index})):[kt]).length;ht(j(\"x\",kt,c),j(\"y\",kt,c));var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var 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n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=D(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?k(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?k(t.by):w(t.bx));else if(a)c=(u=t.crossPos+k(M+p.y)-k(t.by/2-M))+k(t.by);else{var S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 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ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=H(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=W[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,W.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,W.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(W.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,W.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,W.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(W.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var wt=d.selectAll(\"g.hovertext\").data(t,(function(t){return C(t)}));return wt.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,T,k)})),wt.exit().remove(),wt.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var 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n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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n=r(85555),i=r(44467).templatedArray;r(24695),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},75378:function(t,e,r){\"use 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r=n.select(this);if(this._imgSrc!==e.source)if(r.attr(\"xmlns\",s.svg),e.source&&\"data:\"===e.source.slice(0,5))r.attr(\"xlink:href\",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(\"crossOrigin\",\"anonymous\"),n.onerror=i,n.onload=function(){var e=document.createElement(\"canvas\");e.width=this.width,e.height=this.height,e.getContext(\"2d\",{willReadFrequently:!0}).drawImage(this,0,0);var n=e.toDataURL(\"image/png\");r.attr(\"xlink:href\",n),t()},r.on(\"error\",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function y(e){var r,o,s=n.select(this),u=a.getFromId(t,e.xref),c=a.getFromId(t,e.yref),f=\"domain\"===a.getRefType(e.xref),h=\"domain\"===a.getRefType(e.yref),p=l._size;r=void 0!==u?\"string\"==typeof e.xref&&f?u._length*e.sizex:Math.abs(u.l2p(e.sizex)-u.l2p(0)):e.sizex*p.w,o=void 0!==c?\"string\"==typeof 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top left\",\"top center\",\"top right\"],editType:\"legend\"},editType:\"legend\"},editType:\"legend\"}},14928:function(t){\"use strict\";t.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:\"#808BA4\",scrollBarMargin:4,scrollBarEnterAttrs:{rx:20,ry:3,width:0,height:0},titlePad:2,itemGap:5}},99017:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(44467),o=r(9012),s=r(33030),l=r(10820),u=r(10130);function c(t,e,r,c){var f=e[t]||{},h=a.newContainer(r,t);function p(t,e){return i.coerce(f,h,s,t,e)}var d=i.coerceFont(p,\"font\",r.font);if(p(\"bgcolor\",r.paper_bgcolor),p(\"bordercolor\"),p(\"visible\")){for(var v,g=function(t,e){var r=v._input,n=v;return i.coerce(r,n,o,t,e)},y=r.font||{},m=i.coerceFont(p,\"grouptitlefont\",i.extendFlat({},y,{size:Math.round(1.1*y.size)})),x=0,b=!1,_=\"normal\",w=(r.shapes||[]).filter((function(t){return t.showlegend})),T=c.concat(w).filter((function(e){return t===(e.legend||\"legend\")})),k=0;k<T.length;k++)if((v=T[k]).visible){var A=v._isShape;(v.showlegend||v._dfltShowLegend&&!(v._module&&v._module.attributes&&v._module.attributes.showlegend&&!1===v._module.attributes.showlegend.dflt))&&(x++,v.showlegend&&(b=!0,(!A&&n.traceIs(v,\"pie-like\")||!0===v._input.showlegend)&&x++),i.coerceFont(g,\"legendgrouptitle.font\",m)),(!A&&n.traceIs(v,\"bar\")&&\"stack\"===r.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(v.fill))&&(_=u.isGrouped({traceorder:_})?\"grouped+reversed\":\"reversed\"),void 0!==v.legendgroup&&\"\"!==v.legendgroup&&(_=u.isReversed({traceorder:_})?\"reversed+grouped\":\"grouped\")}var M=i.coerce(e,r,l,\"showlegend\",b&&x>(\"legend\"===t?1:0));if(!1===M&&(r[t]=void 0),(!1!==M||f.uirevision)&&(p(\"uirevision\",r.uirevision),!1!==M)){p(\"borderwidth\");var S,E,L,C=\"h\"===p(\"orientation\"),P=\"paper\"===p(\"yref\"),O=\"paper\"===p(\"xref\"),I=\"left\";if(C?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?P?(E=1.1,L=\"bottom\"):(E=1,L=\"top\"):P?(E=-.1,L=\"top\"):(E=0,L=\"bottom\")):(E=1,L=\"auto\",O?S=1.02:(S=1,I=\"right\")),i.coerce(f,h,{x:{valType:\"number\",editType:\"legend\",min:O?-2:0,max:O?3:1,dflt:S}},\"x\"),i.coerce(f,h,{y:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:E}},\"y\"),p(\"traceorder\",_),u.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"xanchor\",I),p(\"yanchor\",L),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",C?\"left\":\"top\");var D=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,\"title.font\",D)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var 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V,H=i.ensureSingle(N,\"g\",\"scrollbox\"),q=h.title;h._titleWidth=0,h._titleHeight=0,q.text?((V=i.ensureSingle(H,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,q.font).text(q.text),L(V,H,t,h,_)):H.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),Z=H.selectAll(\"g.groups\").data(S);Z.enter().append(\"g\").attr(\"class\",\"groups\"),Z.exit().remove();var Y=Z.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var s=a._size,l=b.isVertical(i),c=b.isGrouped(i),f=\"fraction\"===i.entrywidthmode,h=i.borderwidth,d=2*h,v=p.itemGap,g=i.itemwidth+2*v,y=2*(h+v),m=P(i),x=i.y<0||0===i.y&&\"top\"===m,_=i.y>1||1===i.y&&\"bottom\"===m,w=i.tracegroupgap,T={};i._maxHeight=Math.max(x||_?a.height/2:s.h,30);var A=0;i._width=0,i._height=0;var M=function(t){var e=0,r=0,n=t.title.side;return n&&(-1!==n.indexOf(\"left\")&&(e=t._titleWidth),-1!==n.indexOf(\"top\")&&(r=t._titleHeight)),[e,r]}(i);if(l)r.each((function(t){var e=t[0].height;u.setTranslate(this,h+M[0],h+M[1]+i._height+e/2+v),i._height+=e,i._width=Math.max(i._width,t[0].width)})),A=g+i._width,i._width+=v+g+d,i._height+=y,c&&(e.each((function(t,e){u.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var S=C(i),E=i.x<0||0===i.x&&\"right\"===S,L=i.x>1||1===i.x&&\"left\"===S,I=_||x,D=a.width/2;i._maxWidth=Math.max(E?I&&\"left\"===S?s.l+s.w:D:L?I&&\"right\"===S?s.r+s.w:D:s.w,2*g);var z=0,R=0;r.each((function(t){var 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Y=t._context.edits,W=Y.legendText||Y.legendPosition;r.each((function(t){var e=n.select(this).select(\".\"+o+\"toggle\"),r=t[0].height,a=t[0].trace.legendgroup,s=k(t,i,g);c&&\"\"!==a&&(s=T[a]);var h=W?g:A||s;l||f||(h+=v/2),u.setRect(e,0,-r/2,h,r)}))}(t,Z,Y,h)},function(){var e,c,m,x,b=d._size,_=h.borderwidth,k=\"paper\"===h.xref,M=\"paper\"===h.yref;if(q.text&&function(t,e,r){if(\"top center\"===e.title.side||\"top right\"===e.title.side){var n=e.title.font.size*v,i=0,a=t.node(),o=u.bBox(a).width;\"top center\"===e.title.side?i=.5*(e._width-2*r-2*p.titlePad-o):\"top right\"===e.title.side&&(i=e._width-2*r-2*p.titlePad-o),f.positionText(t,r+p.titlePad+i,r+n)}}(V,h,_),!T){var S,E;S=k?b.l+b.w*h.x-g[C(h)]*h._width:d.width*h.x-g[C(h)]*h._width,E=M?b.t+b.h*(1-h.y)-g[P(h)]*h._effHeight:d.height*(1-h.y)-g[P(h)]*h._effHeight;var L=function(t,e,r,n){var i=t._fullLayout,o=i[e],s=C(o),l=P(o),u=\"paper\"===o.xref,c=\"paper\"===o.yref;t._fullLayout._reservedMargin[e]={};var 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n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var 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h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new u({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},37113:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},21598:function(t,e,r){\"use strict\";var n=r(39898),i=r(73972),a=r(74875),o=r(7901),s=r(91424),l=r(71828),u=l.strTranslate,c=r(63893),f=r(41675),h=r(18783),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(89573),y=r(70565);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},70565:function(t,e,r){\"use strict\";var n=r(81041),i=r(71828).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},97218:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(37113)}}},layoutAttributes:r(37113),handleDefaults:r(28674),draw:r(21598)}},75148:function(t,e,r){\"use 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o=e[r],s=o[a.name];s&&s.visible&&s.autorange&&(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},73251:function(t){\"use 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n=r(71828),i=r(44467),a=r(41675),o=r(75148),s=r(47850);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},72413:function(t,e,r){\"use strict\";var n=r(39898),i=r(73972),a=r(74875),o=r(71828),s=o.strTranslate,l=r(91424),u=r(7901),c=r(92998),f=r(93612),h=r(41675),p=r(28569),d=r(6964),v=r(73251);function g(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function y(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function m(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" 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x(t,e,r,n,i){o.ensureSingle(t,\"rect\",v.maskMinClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"height\",n._height).call(u.fill,v.maskColor),o.ensureSingle(t,\"rect\",v.maskMaxClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"height\",n._height).call(u.fill,v.maskColor),\"match\"!==i.rangemode&&(o.ensureSingle(t,\"rect\",v.maskMinOppAxisClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"width\",n._width).call(u.fill,v.maskOppAxisColor),o.ensureSingle(t,\"rect\",v.maskMaxOppAxisClassName,(function(t){t.attr({y:0,\"shape-rendering\":\"crispEdges\"})})).attr(\"width\",n._width).style(\"border-top\",v.maskOppBorder).call(u.fill,v.maskOppAxisColor))}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,\"rect\",v.slideBoxClassName,(function(t){t.attr({y:0,cursor:v.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})})).attr({height:n._height,fill:v.slideBoxFill})}function _(t,e,r,n){var i=o.ensureSingle(t,\"g\",v.grabberMinClassName),a=o.ensureSingle(t,\"g\",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,\"stroke-width\":v.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,\"rect\",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr(\"height\",n._height),o.ensureSingle(a,\"rect\",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr(\"height\",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+\"-\"+e._uid}var u=e._infolayer.selectAll(\"g.\"+v.containerClassName).data(r,(function(t){return t._name}));u.exit().each((function(t){var r=t[v.name];e._topdefs.select(\"#\"+r._clipId).remove()})).remove(),0!==r.length&&(u.enter().append(\"g\").classed(v.containerClassName,!0).attr(\"pointer-events\",\"all\"),u.each((function(r){var a=n.select(this),l=r[v.name],u=e[h.id2name(r.anchor)],f=l[h.id2name(r.anchor)];if(l.range){var w,T=o.simpleMap(l.range,r.r2l),k=o.simpleMap(r.range,r.r2l);w=k[0]<k[1]?[Math.min(T[0],k[0]),Math.max(T[1],k[1])]:[Math.max(T[0],k[0]),Math.min(T[1],k[1])],l.range=l._input.range=o.simpleMap(w,r.l2r)}r.cleanRange(\"rangeslider.range\");var A=e._size,M=r.domain;l._width=A.w*(M[1]-M[0]);var S=Math.round(A.l+A.w*M[0]),E=Math.round(A.t+A.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(S,E)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],C=l._rl[1],P=C-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var O=r.locateBreaks(L,C);if(O.length){var I,D,z=0;for(I=0;I<O.length;I++)z+=(D=O[I]).max-D.min;var R=l._width/(C-L-z),F=[-R*L];for(I=0;I<O.length;I++)D=O[I],F.push(F[F.length-1]-R*(D.max-D.min));for(l.d2p=function(t){for(var e=F[0],r=0;r<O.length;r++){var n=O[r];if(t>=n.max)e=F[r+1];else if(t<n.min)break}return e+R*t},I=0;I<O.length;I++)(D=O[I]).pmin=l.d2p(D.min),D.pmax=l.d2p(D.max);l.p2d=function(t){for(var e=F[0],r=0;r<O.length;r++){var n=O[r];if(t>=n.pmax)e=F[r+1];else if(t<n.pmin)break}return(t-e)/R}}}if(\"match\"!==f.rangemode){var B=u.r2l(f.range[0]),N=u.r2l(f.range[1])-B;l.d2pOppAxis=function(t){return(t-B)/N*l._height}}a.call(g,t,r,l).call(y,t,r,l).call(m,t,r,l).call(x,t,r,l,f).call(b,t,r,l).call(_,t,r,l),function(t,e,r,a){if(!e._context.staticPlot){var s=t.select(\"rect.\"+v.slideBoxClassName).node(),l=t.select(\"rect.\"+v.grabAreaMinClassName).node(),u=t.select(\"rect.\"+v.grabAreaMaxClassName).node();t.on(\"mousedown\",c),t.on(\"touchstart\",c)}function c(){var c=n.event,f=c.target,h=c.clientX||c.touches[0].clientX,v=h-t.node().getBoundingClientRect().left,g=a.d2p(r._rl[0]),y=a.d2p(r._rl[1]),m=p.coverSlip();function x(t){var c,p,x,b=+(t.clientX||t.touches[0].clientX)-h;switch(f){case s:if(x=\"ew-resize\",g+b>r._length||y+b<0)return;c=g+b,p=y+b;break;case l:if(x=\"col-resize\",g+b>r._length)return;c=g+b,p=y;break;case u:if(x=\"col-resize\",y+b<0)return;c=g,p=y+b;break;default:x=\"ew-resize\",c=v,p=v+b}if(p<c){var _=p;p=c,c=_}a._pixelMin=c,a._pixelMax=p,d(n.select(m),x),function(t,e,r,n){function a(t){return r.l2r(o.constrain(t,n._rl[0],n._rl[1]))}var s=a(n.p2d(n._pixelMin)),l=a(n.p2d(n._pixelMax));window.requestAnimationFrame((function(){i.call(\"_guiRelayout\",e,r._name+\".range\",[s,l])}))}(0,e,r,a)}function b(){m.removeEventListener(\"mousemove\",x),m.removeEventListener(\"mouseup\",b),this.removeEventListener(\"touchmove\",x),this.removeEventListener(\"touchend\",b),o.removeElement(m)}this.addEventListener(\"touchmove\",x),this.addEventListener(\"touchend\",b),m.addEventListener(\"mousemove\",x),m.addEventListener(\"mouseup\",b)}}(a,t,r,l),function(t,e,r,n,i,a){var l=v.handleWidth/2;function u(t){return o.constrain(t,0,n._width)}function c(t){return o.constrain(t,0,n._height)}function f(t){return o.constrain(t,-l,n._width+l)}var h=u(n.d2p(r._rl[0])),p=u(n.d2p(r._rl[1]));if(t.select(\"rect.\"+v.slideBoxClassName).attr(\"x\",h).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMinClassName).attr(\"width\",h),t.select(\"rect.\"+v.maskMaxClassName).attr(\"x\",p).attr(\"width\",n._width-p),\"match\"!==a.rangemode){var d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+v.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+v.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select(\"g.\"+v.grabberMinClassName).attr(\"transform\",s(m,y)),t.select(\"g.\"+v.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,u,f),\"bottom\"===r.side&&c.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},549:function(t,e,r){\"use strict\";var n=r(41675),i=r(63893),a=r(73251),o=r(18783).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return e&&e.visible}e.isVisible=l,e.makeData=function(t){var e=n.list({_fullLayout:t},\"x\",!0),r=t.margin,i=[];if(!t._has(\"gl2d\"))for(var a=0;a<e.length;a++){var o=e[a];if(l(o)){i.push(o);var u=o[s];u._id=s+o._id,u._height=(t.height-r.b-r.t)*u.thickness,u._offsetShift=Math.floor(u.borderwidth/2)}}t._rangeSliderData=i},e.autoMarginOpts=function(t,e){var r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},13137:function(t,e,r){\"use strict\";var n=r(71828),i=r(75148),a=r(47850),o=r(549);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(75148),handleDefaults:r(26377),calcAutorange:r(88443),draw:r(72413),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},47850:function(t){\"use strict\";t.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}},8389:function(t,e,r){\"use strict\";var n=r(50215),i=r(82196).line,a=r(79952).P,o=r(1426).extendFlat,s=r(30962).overrideAll,l=r(44467).templatedArray;r(24695),t.exports=s(l(\"selection\",{type:{valType:\"enumerated\",values:[\"rect\",\"path\"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:\"any\"},x1:{valType:\"any\"},y0:{valType:\"any\"},y1:{valType:\"any\"},path:{valType:\"string\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:.7,editType:\"arraydraw\"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:\"dot\"})}}),\"arraydraw\",\"from-root\")},34122:function(t){\"use strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},59402:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(8389),s=r(30477);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},32485:function(t,e,r){\"use strict\";var n=r(60165).readPaths,i=r(42359),a=r(51873).clearOutlineControllers,o=r(7901),s=r(91424),l=r(44467).arrayEditor,u=r(30477),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},53777:function(t,e,r){\"use strict\";var n=r(79952).P,i=r(1426).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},90849:function(t){\"use strict\";t.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},35855:function(t,e,r){\"use strict\";var n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),u=e.gd,c=u._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,v=e.dragmode,g=(u.layout||{}).selections||[];if(!n(v)&&void 0!==d){var y=u._fullLayout._activeSelectionIndex;if(y<g.length)switch(u._fullLayout.selections[y].type){case\"rect\":v=\"select\";break;case\"path\":v=\"lasso\"}}var m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},75549:function(t,e,r){\"use strict\";var n=r(71828).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},47322:function(t,e,r){\"use strict\";var n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=X(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n=0;for(r=0;r<t.length;r++)if((e=t[r].cd[0].trace).selectedpoints){if(e.selectedpoints.length>1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,!1);$(e,s),Y(a),x&&ht(e)}else{for(p=t.shiftKey&&(void 0!==h?h:K(_)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),c=G(a.selectionDefs.concat([u])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],c),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if($(e,s,v={points:b}),u&&a&&a.selectionDefs.push(u),o){var T=a.mergedPolygons,k=d(a.dragmode);m(et(T,k),o,a)}x&&ft(e,v)}}}function H(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function q(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=H(t[0])?0:t[0][0][0],n=r,i=H(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(H(t[o]))e.push(q(t[o]));else{var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function W(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(W),u=r.map(W);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=J(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=J(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(J(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(J(a._module,i,e[0],r[0]));return s}function J(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function K(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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n=0;n<r.length;n++){var i=r[n];if(i.xaxis&&i.xaxis._id===t&&i.yaxis&&i.yaxis._id===e)return!0}return!1})(o=vt.xref,s=vt.yref,c)||it(t,o,s,n),tt&&(Q.points.length?ft(t,Q):ht(t)),h._deselect=!1}return{eventData:Q,selectionTesters:r}}function it(t,e,r,n){n=X(t,[C(t,e,\"x\")],[C(t,r,\"y\")],e+r);for(var i=0;i<n.length;i++){var a=n[i];a._module.selectPoints(a,!1)}$(t,n)}function at(t,e,r,n){for(var i,a=0;a<t.length;a++){var o=t[a];e===o.xref&&r===o.yref&&(i?n=G(i=Q(i,o,!!o.subtract)):(i=[o],n=R(o)))}return n}function ot(t,e){for(var r=[],n=t._fullLayout,i=n.selections,a=i.length,o=0;o<a;o++)if(!e||o===n._activeSelectionIndex){var s=i[o];if(s){var l,u,c,f,h,p=s.xref,d=s.yref,v=C(t,p,\"x\"),m=C(t,d,\"y\");if(\"rect\"===s.type){h=[];var x=lt(v,s.x0),b=lt(v,s.x1),_=lt(m,s.y0),w=lt(m,s.y1);h=[[x,_],[x,w],[b,w],[b,_]],l=Math.min(x,b),u=Math.max(x,b),c=Math.min(_,w),f=Math.max(_,w),h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=!1,h.isRect=!0,r.push(h)}else if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var i=t[n];r=(r=r.concat(i)).concat([i[0]])}return(a=r).isRect=5===a.length&&a[0][0]===a[4][0]&&a[0][1]===a[4][1]&&a[0][0]===a[1][0]&&a[2][0]===a[3][0]&&a[0][1]===a[3][1]&&a[1][1]===a[2][1]||a[0][1]===a[1][1]&&a[2][1]===a[3][1]&&a[0][0]===a[3][0]&&a[1][0]===a[2][0],a.isRect&&(a.xmin=Math.min(a[0][0],a[2][0]),a.xmax=Math.max(a[0][0],a[2][0]),a.ymin=Math.min(a[0][1],a[2][1]),a.ymax=Math.max(a[0][1],a[2][1])),a;var a}function ct(t){return function(e,r){for(var n,i,a=0;a<t.length;a++){var o=t[a],s=o._id,l=s.charAt(0);if(r.isRect){n||(n={});var u=r[l+\"min\"],c=r[l+\"max\"];void 0!==u&&void 0!==c&&(n[s]=[B(o,u),B(o,c)].sort(S))}else i||(i={}),i[s]=r.map(N(o))}n&&(e.range=n),i&&(e.lassoPoints=i)}}function ft(t,e){e&&(e.selections=(t.layout||{}).selections||[]),t.emit(\"plotly_selected\",e)}function ht(t){t.emit(\"plotly_deselect\",null)}t.exports={reselect:nt,prepSelect:function(t,e,r,n,i){var u=!U(n),c=f(i),g=h(i),y=d(i),x=p(i),b=v(i),w=\"drawcircle\"===i,T=\"drawline\"===i||w,k=n.gd,A=k._fullLayout,S=b&&\"immediate\"===A.newselection.mode&&u,E=A._zoomlayer,C=n.element.getBoundingClientRect(),P=n.plotinfo,O=j(P),F=e-C.left,B=r-C.top;A._calcInverseTransform(k);var N=M.apply3DTransform(A._invTransform)(F,B);F=N[0],B=N[1];var H,q,W,J,K,tt,at,ot=A._invScaleX,st=A._invScaleY,lt=F,pt=B,dt=\"M\"+F+\",\"+B,vt=n.xaxes[0],gt=n.yaxes[0],yt=vt._length,mt=gt._length,xt=t.altKey&&!(p(i)&&y);Z(t,k,n),c&&(H=z([[F,B]],I.BENDPX));var bt=E.selectAll(\"path.select-outline-\"+P.id).data([1]),_t=x?A.newshape:A.newselection;x&&(n.hasText=_t.label.text||_t.label.texttemplate);var wt=x&&!y?_t.fillcolor:\"rgba(0,0,0,0)\",Tt=_t.line.color||(u?s.contrast(k._fullLayout.plot_bgcolor):\"#7f7f7f\");bt.enter().append(\"path\").attr(\"class\",\"select-outline 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return 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n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},89853:function(t,e,r){\"use strict\";var n=r(34031);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(89827),supplyLayoutDefaults:r(84726),supplyDrawNewShapeDefaults:r(45547),includeBasePlot:r(76325)(\"shapes\"),calcAutorange:r(5627),draw:n.draw,drawOne:n.drawOne}},37281:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},75067:function(t,e,r){\"use 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n=r(41940),i=r(35025),a=r(1426).extendDeepAll,o=r(30962).overrideAll,s=r(85594),l=r(44467).templatedArray,u=r(98292),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},98292:function(t){\"use 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T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var H=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(H),C&&this.vbar.on(\".drag\",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},18783:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},24695:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?q.prepMinorTicks(R,t,e):q.prepTicks(R,e),\"array\"!==R.tickmode)if(\"sync\"!==R.tickmode){var F=K(c),B=F[0],N=F[1],j=i(R.dtick),U=\"log\"===a&&!(j||\"L\"===R.dtick.charAt(0)),V=q.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;\"category\"!==a&&\"multicategory\"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var H,G,Z=null,Y=V;D&&(j?G=t.dtick:\"date\"===a?\"string\"==typeof t.dtick&&\"M\"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,H=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var W=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=q.tickIncrement(Y,W,!f,o))),D&&u&&(Y=q.tickIncrement(Y,W,!f,o),H--);f?Y>=N:Y<=N;Y=q.tickIncrement(Y,W,f,o)){if(D&&H++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===Z)break;Z=Y;var X={value:Y};D?(U&&Y!==(0|Y)&&(X.simpleLabel=!0),l>1&&H%l&&(X.skipLabel=!0),C.push(X)):(X.minor=!0,P.push(X))}}else C=[],v=at(t);else D?(C=[],v=ot(t)):(P=[],L=ot(t))}if(I&&!(\"inside\"===t.minor.ticks&&\"outside\"===t.ticks||\"outside\"===t.minor.ticks&&\"inside\"===t.ticks)){for(var J=C.map((function(t){return t.value})),$=[],Q=0;Q<P.length;Q++){var tt=P[Q],et=tt.value;if(-1===J.indexOf(et)){for(var rt=!1,nt=0;!rt&&nt<C.length;nt++)1e7+C[nt].value===1e7+et&&(rt=!0);rt||$.push(tt)}}P=$}if(u&&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,u=t[o].value,c=Math.abs(u-l),f=r||c,h=0;f>=m?h=c>=m&&c<=g?c:y:r===b&&f>=_?h=c>=_&&c<=x?c:b:f>=k?h=c>=k&&c<=w?c:T:r===A&&f>=A?h=A:f>=M?h=M:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=c&&(h=c,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,v=0;v<84;v++){var L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it=\"y\"===t._id.charAt(0),st=1;\"auto\"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),a=n.length;if(\"M\"===String(e).charAt(0))a>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&a<=10||e>=15*M)t._tickround=\"d\";else if(e>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick=\"M\"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=q.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+dt(e,n,st)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,u,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if(\"D\"===l){var c=\"D2\"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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a,o=gt(t,e),l=\"array\"===t.tickmode,u=r||l,c=t.type,f=\"category\"===c?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var i={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==i}var v=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===c?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||q.getTickFormat(t);(n=!o&&n)&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,u=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),c=u.indexOf(\"\\n\");if(-1!==c&&(l=u.substr(c+1),u=u.substr(0,c)),n&&(void 0===l||\"00:00:00\"!==u&&\"00:00\"!==u?8===u.length&&(u=u.replace(/:00$/,\"\")):(u=l,l=\"\")),l)if(r)\"d\"===a?u+=\", \"+l:u=l+(u?\", \"+u:\"\");else if(t._inCalcTicks&&t._prevDateHead===l){var f=Rt(t),h=t._trueSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(u+=\"<br> \")}else t._prevDateHead=l,u+=\"<br>\"+l;e.text=u}(t,o,r,u):\"log\"===c?function(t,e,r,n,a){var o=t.dtick,l=e.x,u=t.tickformat,c=\"string\"==typeof o&&o.charAt(0);if(\"never\"===a&&(a=\"\"),n&&\"L\"!==c&&(o=\"L3\",c=\"L\"),u||\"L\"===c)e.text=bt(Math.pow(10,l),t,a,n);else if(i(o)||\"D\"===c&&s.mod(l+.01,1)<.1){var f=Math.round(l),h=Math.abs(f),p=t.exponentformat;\"power\"===p||mt(p)&&xt(f)?(e.text=0===f?1:1===f?\"10\":\"10<sup>\"+(f>1?\"\":P)+h+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&h>2?e.text=\"1\"+p+(f>0?\"+\":P)+h:(e.text=bt(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==c)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,u,v):\"category\"===c?function(t,e){var r=t._categories[Math.round(e.x)];void 0===r&&(r=\"\"),e.text=String(r)}(t,o):\"multicategory\"===c?function(t,e,r){var n=Math.round(e.x),i=t._categories[n]||[],a=void 0===i[1]?\"\":String(i[1]),o=void 0===i[0]?\"\":String(i[0]);r?e.text=o+\" - \"+a:(e.text=a,e.text2=o)}(t,o,r):Dt(t)?function(t,e,r,n,i){if(\"radians\"!==t.thetaunit||r)e.text=bt(e.x,t,i,n);else{var a=e.x/180;if(0===a)e.text=\"0\";else{var o=function(t){function e(t,e){return Math.abs(t-e)<=1e-6}var r=function(t){for(var r=1;!e(Math.round(t*r)/r,t);)r*=10;return r}(t),n=t*r,i=Math.abs(function t(r,n){return e(n,0)?r:t(n,r%n)}(n,r));return[Math.round(n/i),Math.round(r/i)]}(a);if(o[1]>=100)e.text=bt(s.deg2rad(e.x),t,i,n);else{var 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z=0;z<e.rangebreaks.length;z++)if(e.rangebreaks[z].pattern===y){e._hasDayOfWeekBreaks=!0;break}if(g(e,m),m._has(\"scattergl\")||m._has(\"splom\"))for(var R=0;R<n.data.length;R++){var F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. 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k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,P=L,O=Math.abs(E-L),I=L-O*h*1.0001,D=L+O*h*1.0001,z=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);y(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>P&&(P=F);h/=(P-C)/(2*O),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return\"g\"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function H(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function q(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function Z(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function W(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=W(V),K=W(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Z(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Z(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(J,e),Vt(\"x\")),at&&(F(K,r),Vt(\"y\")),Zt([n,i,tt,et]),Ht(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(J,0,e):\"e\"===it?e=p(J,1,-e):it||(e=0),\"n\"===at?r=p(K,1,r):\"s\"===at?r=p(K,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Zt([o,s,f,h]),Ht(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:K,y:J}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:J,y:K}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function Ht(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(K),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(K)):r=r.concat(J)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Zt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Xt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Wt(a,m=Yt(a,d,g)),m>1&&(void 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r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},27659:function(t,e,r){\"use strict\";var n=r(73972),i=r(85555).SUBPLOT_PATTERN;e.AU=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e.a0=function(t,e){var r,i=[],a=[];if(!(r=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module&&l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.NG=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},75071:function(t,e,r){\"use strict\";var n=r(16825),i=r(1195),a=r(48956),o=r(85555),s=r(38520);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=r(71739).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!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,u),!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],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,u=r[o].angularaxis,c=l.makeCalcdata(e,\"r\"),f=u.makeCalcdata(e,\"theta\"),h=e._length,p=new Array(h),d=c,v=f,g=0;g<h;g++)p[g]={p:v[g],s:d[g]};function y(t){var r=e[t];void 0!==r&&(e[\"_\"+t]=Array.isArray(r)?u.makeCalcdata(e,t):u.d2c(r,e.thetaunit))}return\"linear\"===u.type&&(y(\"width\"),y(\"offset\")),n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],c=s[0].trace;!0===c.visible&&l(c,\"bar\")&&c.subplot===r&&i.push(s)}var f=u({},e.radialaxis,{_id:\"x\"}),h=e.angularaxis;o(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},6135:function(t,e,r){\"use strict\";var n=r(71828),i=r(22184).handleRThetaDefaults,a=r(98340),o=r(55023);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l(\"thetaunit\"),l(\"base\"),l(\"offset\"),l(\"width\"),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},27379:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(95423).getTraceColor,o=i.fillText,s=r(59150).makeHoverPointText,l=r(10869).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return v(m,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/y)-1+(t.rp1-m)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=u[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,c,t),s(_,c,f,t),t.hovertemplate=c.hovertemplate,t.color=a(c,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign=\"left\"),[t]}}},23381:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"barpolar\",basePlotModule:r(23580),categories:[\"polar\",\"bar\",\"showLegend\"],attributes:r(55023),layoutAttributes:r(40151),supplyDefaults:r(6135),supplyLayoutDefaults:r(19860),calc:r(74692).calc,crossTraceCalc:r(74692).crossTraceCalc,plot:r(60173),colorbar:r(4898),formatLabels:r(98608),style:r(16688).style,styleOnSelect:r(16688).styleOnSelect,hoverPoints:r(27379),selectPoints:r(81974),meta:{}}},40151:function(t){\"use strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},bargap:{valType:\"number\",dflt:.1,min:0,max:1,editType:\"calc\"}}},19860:function(t,e,r){\"use strict\";var n=r(71828),i=r(40151);t.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var 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R,F,B,N,j,U,V=k+T,H=Boolean(C);if(\"positive\"===P?(M=w*(C?1:.5),R=V,S=R=k):\"negative\"===P?(M=R=k,S=w*(C?1:.5),F=V):(M=S=w,R=F=V),(E.boxpoints||E.points)&&v>0){var q=E.pointpos,G=E.jitter,Z=E.marker.size/2,Y=0;q+G>=0&&((Y=V*(q+G))>M?(H=!0,j=Z,B=Y):Y>R&&(j=Z,B=M)),Y<=M&&(B=M);var W=0;q-G<=0&&((W=-V*(q-G))>S?(H=!0,U=Z,N=W):W>F&&(U=Z,N=S)),W<=S&&(N=S)}else B=M,N=S;var X=new Array(u.length);for(l=0;l<u.length;l++)X[l]=u[l].pos;E._extremes[h]=n.findExtremes(o,X,{padded:H,vpadminus:N,vpadplus:B,vpadLinearized:!0,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]})}}}t.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],u=\"h\"===l?i:n,c=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||\"box\"!==d.type&&\"candlestick\"!==d.type||p.empty||(d.orientation||\"v\")!==l||d.xaxis!==n._id||d.yaxis!==i._id||c.push(f)}s(\"box\",t,c,u)}},setPositionOffset:s}},36411:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(7901),o=r(73927),s=r(26125),l=r(4322),u=r(53522);function c(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],u[e])}var c,f=r(\"y\"),h=r(\"x\");if(\"box\"===e.type){var p=r(\"q1\"),d=r(\"median\"),v=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&v&&v.length,c=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(v))}var g,y,m=o(f),x=o(h),b=m&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(m)){case\"00\":var k=s(\"x0\")||s(\"dx\");g=!s(\"y0\")&&!s(\"dy\")||k?\"v\":\"h\",y=c;break;case\"10\":g=\"v\",y=Math.min(c,_);break;case\"20\":g=\"h\",y=Math.min(c,h.length);break;case\"01\":g=\"h\",y=Math.min(c,b);break;case\"02\":g=\"v\",y=Math.min(c,f.length);break;case\"12\":g=\"v\",y=Math.min(c,_,f.length);break;case\"21\":g=\"h\",y=Math.min(c,h.length,b);break;case\"11\":y=0;break;case\"22\":var A,M=!1;for(A=0;A<h.length;A++)if(\"category\"===l(h[A],w,T)){M=!0;break}if(M)g=\"v\",y=Math.min(c,_,f.length);else{for(A=0;A<f.length;A++)if(\"category\"===l(f[A],w,T)){M=!0;break}M?(g=\"h\",y=Math.min(c,h.length,b)):(g=\"v\",y=Math.min(c,_,f.length))}}else m>0?(g=\"v\",y=x>0?Math.min(_,b):Math.min(b)):x>0?(g=\"h\",y=Math.min(_)):y=0;if(y){e._length=y;var 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;o*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},15790:function(t,e,r){\"use 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r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=c.hasLines(a),T=c.hasMarkers(a),k=c.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=v(\"fill\"),L=v(\"line\"),C=v(\"circle\"),P=v(\"symbol\"),O={fill:E,line:L,circle:C,symbol:P};if(!b)return O;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var I=function(t){var e,r,a,o,c=t[0].trace,f=c.marker,h=c.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),v=i.isArrayOrTypedArray(f.opacity);function g(t){return c.opacity*t}p&&(r=s.hasColorscale(c,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity),d&&(a=u(c)),v&&(o=function(t){return 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset,\"text-font\":a.textfont.family.split(\", \")}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181),c=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extra Bold Italic\",\"Open Sans Extra Bold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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n=r(35948),i=r(20794).calcHover;t.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,u=s.c2p(e),c=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,v,g=o[h],y=o[p],m=f,x=0;x<g.length;x++){var b=g[x],_=y[x],w=s.c2p(b)-u,T=l.c2p(_)-c,k=Math.sqrt(w*w+T*T);k<m&&(m=v=k,d=x)}return t.index=d,t.distance=m,t.dxy=v,void 0===d?[t]:[i(t,g,y,a)]}}},6419:function(t,e,r){\"use strict\";var n=r(65017);n.basePlotModule=r(16947),t.exports=n},79410:function(t,e,r){\"use strict\";var n=r(60487),i=r(71828),a=r(41675),o=r(64505).selectMode;function s(t,e){var r,s,l,u,c,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,v=f._splomScenes[p.uid],g=v.matrixOptions,y=g.cdata,m=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=y.length,w=v.viewOpts={};for(w.ranges=new Array(_),w.domains=new 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B=i.extendFlat({},g,v.unselectedOptions,w),N=i.extendFlat({},g,v.selectedOptions,w);v.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);v.matrix.update(j,null)}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},10164:function(t,e,r){\"use strict\";var n=r(71828);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},8689:function(t,e,r){\"use strict\";var n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){\"use strict\";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){\"use strict\";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},87619:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(66888),categories:[],animatable:!0,attributes:r(57564),layoutAttributes:r(2654),supplyDefaults:r(17094),supplyLayoutDefaults:r(57034),calc:r(52147).calc,crossTraceCalc:r(52147).crossTraceCalc,plot:r(24714).plot,style:r(29969).style,colorbar:r(4898),meta:{}}},2654:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},57034:function(t,e,r){\"use strict\";var n=r(71828),i=r(2654);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},24714:function(t,e,r){\"use strict\";var 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:L,height:m,columnOrder:M,groupHeight:m,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:v}),gdColumns:v.map((function(t){return t[0]})),gdColumnsOriginalOrder:v.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:v.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:c,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=c(t)})),C}},56269:function(t,e,r){\"use strict\";var n=r(1426).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},96595:function(t,e,r){\"use strict\";t.exports={attributes:r(44464),supplyDefaults:r(39754),calc:r(76333),plot:r(36736),moduleType:\"trace\",name:\"table\",basePlotModule:r(99469),categories:[\"noOpacity\"],meta:{}}},36736:function(t,e,r){\"use strict\";var n=r(49850),i=r(39898),a=r(71828).numberFormat,o=r(28984),s=r(91424),l=r(63893),u=r(71828).raiseToTop,c=r(71828).strTranslate,f=r(71828).cancelTransition,h=r(51018),p=r(56269),d=r(7901);function v(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function y(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r),u=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(l);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(u);var c=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(u);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(c);var f=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(u),h=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(f);!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(h),_(h,e,a,t),D(u)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o=\"string\"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var u,c=\"string\"==typeof(u=i)&&u.match(n.latexCheck);t.latex=c;var f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" 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k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,u=0;u<s.length;u++)l+=s[u].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===c}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var 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r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),a.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var l=a.selectAll(\".\"+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";d.on(\"mousemove\",(function(e){l.filter((function(t){return 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c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var 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s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},7115:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},5240:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},3668:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},998:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},2142:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else z=[1,1,1,0];if(j)if(Array.isArray(y)){var U;if(3===(U=B?n<y.length?y[n]:[0,0,0,0]:y).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T]);var Z=i,Y=a;Z=0,Array.isArray(i)?Z=n<i.length?i[n]:0:i&&(Z=i),Y=0,Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var W=[Z*=Z>0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*I+Q]=z[Q];O[I]=m;var tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},6623:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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h=u,p=c,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},9578:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var _r=function(t,e){this.type=t,this.args=e};_r.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},Pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Di.prototype.transitioned=function(t,e){for(var r=new Ri(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Di.prototype.untransitioned=function(){for(var t=new Ri(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var zi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};zi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ri.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},Bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Bi(this,{kind:\"constant\",value:s},e)}return new Bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ni(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ga),Ya=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof no||h instanceof io||h instanceof ao)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},oo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var Kl=Yl;function $l(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||sn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};kc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new wa},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var 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s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Je=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&ln(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&ln(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Mn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Mn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Cn.prototype,Pn);var On=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},On.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Vn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Zn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Kn),Qn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:oi(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},ki.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ei.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Pi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ii:t)>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Ci||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Ci||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Mn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Bi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function ji(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ui[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Zi=0,Yi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Zi--,Yi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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          },
          "mode": "markers+text",
          "name": "Matched Ions",
+         "text": [
+          "Perylene_2H12",
+          "Perylene",
+          "Phenanthrene_2H10",
+          "Phenanthrene",
+          "Anthracene",
+          "Acenaphthylene",
+          "Acenaphthene",
+          "Fluoranthene",
+          "Pyrene",
+          "para-Terphenyl",
+          "Benzo[b]naphtho[2,1-d]thiophene",
+          "2,3-Benzofluorene",
+          "Benzo[ghi]fluoranthene",
+          "Triphenylene",
+          "Benzanthracene/Benzophenanthrene",
+          "Benzofluoranthene",
+          "Benzo(k)fluoranthene",
+          "Benzo[e]pyrene",
+          "Benzo(a)pyrene",
+          "Indeno[1,2,3-cd]pyrene",
+          "Benzo(g,h,i)perylene",
+          "Anthanthrene",
+          "Dibenzanthracene",
+          "Coronene",
+          "Dicofol",
+          "Benzophenone",
+          "2-tert-Butyl-4-methoxyphenol",
+          "Butylated hydroxytoluene",
+          "4-Methylbenzophenone",
+          "2,4,6-Tribromophenol",
+          "2,6-Dichloro-4-nitroaniline",
+          "1-Methylphenanthrene",
+          "Triclosan",
+          "2,2',3,4,5,5',6-Heptachlorobiphenyl",
+          "2,4,6-Trichlorobiphenyl",
+          "2,2',3,3',4,5',6,6'-Octachlorobiphenyl",
+          "Pentachlorobenzene",
+          "Hexachlorobenzene",
+          "2,4'-Dichlorodiphenyldichloroethylene",
+          "2,4'-Dichlorodiphenyldichloroethane",
+          "2,4'-Dichlorodiphenyltrichloroethane",
+          "2,4,4'-Trichlorobiphenyl",
+          "2,2',4,5,5'-Pentachlorobiphenyl",
+          "2,3',4,4',5-Pentachlorobiphenyl",
+          "2,2',3,4,4',5'-Hexachlorobiphenyl",
+          "2,2',4,4',5,5'-Hexachlorobiphenyl",
+          "2,2',3,4,4',5,5'-Heptachlorobiphenyl",
+          "2,2',5,5'-Tetrachlorobiphenyl",
+          "2,3',4,6-Tetrachlorobiphenyl",
+          "2,3',5',6-Tetrachlorobiphenyl",
+          "2,2',3,4',5-Pentachlorobiphenyl",
+          "2,3,3',4,5-Pentachlorobiphenyl",
+          "3,3',4,5,5'-Pentachlorobiphenyl",
+          "2,3',4,4',5',6-Hexachlorobiphenyl",
+          "2,3,3',4,5,6-Hexachlorobiphenyl",
+          "2,3,3',4',5',6-Hexachlorobiphenyl",
+          "2,3,3',4',5,6-Hexachlorobiphenyl",
+          "2,3,3',4',5,5',6-Heptachlorobiphenyl",
+          "Bifenthrin",
+          "Fenpropathrin",
+          "Tefluthrin",
+          "Transfluthrin",
+          "2,3,4,5-Tetrabromo-6-chlorotoluene",
+          "2,3,4,5,6-Pentabromotoluene",
+          "2,3,4,5,6-Pentabromoethylbenzene",
+          "2,3,5,6-Tetrabromo-p-xylene",
+          "Allyl 2,4,6-tribromophenyl ether",
+          "2-Bromoallyl(2,4,6-tribromophenyl) ether",
+          "Pentabromobenzene",
+          "Hexabromobenzene",
+          "2,3,4,5,6-Pentabromobenzyl alcohol",
+          "2-Ethylhexyl 2,3,4,5-Tetrabromobenzoate",
+          "1-Fluronaphthalene",
+          "Lilial",
+          "Eugenol",
+          "Isoeugenol",
+          "4-Methoxybenzyl alcohol",
+          "Methyleugenol",
+          "Benzyl alcohol",
+          "Estragole",
+          "Benzyl benzoate",
+          "Benzyl salicylate",
+          "Celestolide",
+          "Phantolide",
+          "Tonalide",
+          "Traseolide",
+          "4,4'-Dichlorodiphenyldichloroethylene",
+          "Methoxychlor",
+          "4,4'-Dichlorodiphenyldichloroethane",
+          "4,4'-Dichlorodiphenyltrichloroethane",
+          "1,4-Chrysenequinone",
+          "Hydroxychrysene",
+          "1-Nitronaphthalene",
+          "Hydroxyfluoren-9-one",
+          "1,4-Naphthoquinone",
+          "2-Methylnaphthalene",
+          "1-Methylnaphthalene",
+          "2,6-Dimethylnaphthalene",
+          "1,3-Dimethylnaphthalene",
+          "1,4-Dimethylnaphthalene",
+          "1,5-Dimethylnaphthalene",
+          "1,2-Dimethylnaphthalene",
+          "1,8-Dimethylnaphthalene",
+          "7,12-Dimethylbenz[a]anthracene",
+          "2,4-D butyl ester",
+          "Dimethachlor",
+          "Alachlor",
+          "Fenoxaprop-ethyl",
+          "Metazachlor",
+          "Metolachlor",
+          "Pendimethalin",
+          "Trifluralin",
+          "2,2',3,4,4',5',6-Heptabromodiphenyl ether",
+          "2-Chlorobiphenyl",
+          "2,3-Dichlorobiphenyl",
+          "2,2',5-Trichlorobiphenyl",
+          "2,4',5-Trichlorobiphenyl",
+          "2,2',3,5'-Tetrachlorobiphenyl",
+          "2,3',4,4'-Tetrachlorobiphenyl",
+          "2,2',3,4',5,5',6-Heptachlorobiphenyl",
+          "2,2',3,4,4',5',6-Heptachlorobiphenyl",
+          "2,2',3,3',4,4',5-Heptachlorobiphenyl",
+          "2,2',3,4,5'-Pentachlorobiphenyl",
+          "2,3,3',4',6-Pentachlorobiphenyl",
+          "2,2',3,3',4,4',5,5',6-Nonachlorobiphenyl",
+          "2,2',3,5,5',6-Hexachlorobiphenyl",
+          "2,2',3,4',5,5',6-Heptachloro-4-methoxybiphenyl",
+          "2,2',3',4,4',5-Hexachloro-3-methoxybiphenyl",
+          "2,2',3,4',5,5'-Hexachloro-4-methoxybiphenyl",
+          "2,2',3,4,5,5'-Hexachlorobiphenyl",
+          "Mexacarbate",
+          "Aminocarb",
+          "Isocarbophos",
+          "Carbaryl",
+          "Dimethomorph_isomer2",
+          "Ethiofencarb",
+          "Methiocarb",
+          "Iprovalicarb isomer 2",
+          "Iprovalicarb isomer 1",
+          "Propham",
+          "Propoxur",
+          "Thiobencarb",
+          "Isoprocarb",
+          "Linuron",
+          "Metobromuron",
+          "Monolinuron",
+          "Siduron",
+          "Bifenazate",
+          "Diethofencarb",
+          "Diflubenzuron",
+          "Fenobucarb",
+          "Dioxacarb",
+          "Promecarb",
+          "Fenoxycarb",
+          "Indoxacarb",
+          "Azoxystrobin",
+          "Benzoximate",
+          "Boscalid",
+          "Butafenacil",
+          "Carbetamide",
+          "Fenhexamid",
+          "Flutolanil",
+          "Furalaxyl",
+          "Kresoxim-methyl",
+          "Mepanipyrim",
+          "Mepronil",
+          "Myclobutanil",
+          "Oxadixyl",
+          "Picoxystrobin",
+          "Pyracarbolid",
+          "Pyrimethanil",
+          "Pyriproxyfen",
+          "Triadimefon",
+          "Trifloxystrobin",
+          "Zoxamide",
+          "Amitraz",
+          "Tebufenpyrad",
+          "Enilconazole",
+          "Carboxin",
+          "Flufenacet",
+          "Propargite_isomer1",
+          "Propargite_isomer2",
+          "Pyridaben",
+          "Bitertanol_isomer1",
+          "Bitertanol_isomer2",
+          "Bromuconazole_isomer1",
+          "Bromuconazole_isomer2",
+          "Cyproconazole_isomer1",
+          "Cyproconazole_isomer2",
+          "Diclobutrazol",
+          "Difenoconazole_isomer1",
+          "Difenoconazole_isomer2",
+          "Etoxazole",
+          "Fenarimol",
+          "Flusilazole",
+          "Flutriafol",
+          "Hexaconazole",
+          "Nuarimol",
+          "Paclobutrazol",
+          "Penconazole",
+          "Propiconazole_isomer1",
+          "Propiconazole_isomer2",
+          "Tebuconazole",
+          "Tetraconazole",
+          "Triadimenol_isomer1",
+          "Triadimenol_isomer2",
+          "Triflumizole",
+          "Triticonazole",
+          "Fenpropimorph_isomer1",
+          "Fenpropimorph_isomer2",
+          "Spirodiclofen",
+          "Spirotetramat",
+          "Bisphenol A",
+          "4-tert-Octylphenol"
+         ],
+         "textposition": "middle right",
          "type": "scatter",
          "x": [
           0.0090065681789311,
@@ -723,9 +916,7 @@
           0.6630549193804035,
           0.8205084248661962,
           0.6095531107800553,
-          0.0157440512643996,
-          0.2553272216278209,
-          0.721218257323351,
+          0.5906965052777083,
           0.7705802424523864,
           0.74161091321123,
           0.5549186808916206,
@@ -741,11 +932,13 @@
           0.7663676327514841,
           0.6975873675879248,
           0.482563393757889,
+          0.0959163038789531,
           0.1649135006484536,
           0.4046123483478726,
           0.5571213997533517,
           0.0754423884309527,
           0.1973104191285521,
+          0.0518014536884609,
           0.3155609518766191,
           0.9026045506156012,
           0.7670229899444668,
@@ -891,7 +1084,6 @@
           36,
           26,
           43,
-          18,
           30,
           48,
           38,
@@ -1069,6 +1261,7 @@
         }
        ],
        "layout": {
+        "height": 800,
         "template": {
          "data": {
           "bar": [
@@ -1888,7 +2081,12 @@
         "title": {
          "text": "Benzenoids"
         },
+        "width": 1200,
         "xaxis": {
+         "range": [
+          0,
+          1
+         ],
          "title": {
           "text": "Score"
          }
@@ -1901,9 +2099,9 @@
        }
       },
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Ions\",\"text\":[\"Perylene_2H12\",\"Perylene\",\"Phenanthrene_2H10\",\"Phenanthrene\",\"Anthracene\",\"Acenaphthylene\",\"Acenaphthene\",\"Fluoranthene\",\"Pyrene\",\"para-Terphenyl\",\"Benzo[b]naphtho[2,1-d]thiophene\",\"2,3-Benzofluorene\",\"Benzo[ghi]fluoranthene\",\"Triphenylene\",\"Benzanthracene/Benzophenanthrene\",\"Benzofluoranthene\",\"Benzo(k)fluoranthene\",\"Benzo[e]pyrene\",\"Benzo(a)pyrene\",\"Indeno[1,2,3-cd]pyrene\",\"Benzo(g,h,i)perylene\",\"Anthanthrene\",\"Dibenzanthracene\",\"Coronene\",\"Dicofol\",\"Benzophenone\",\"2-tert-Butyl-4-methoxyphenol\",\"Butylated hydroxytoluene\",\"4-Methylbenzophenone\",\"2,4,6-Tribromophenol\",\"2,6-Dichloro-4-nitroaniline\",\"1-Methylphenanthrene\",\"Triclosan\",\"2,2',3,4,5,5',6-Heptachlorobiphenyl\",\"2,4,6-Trichlorobiphenyl\",\"2,2',3,3',4,5',6,6'-Octachlorobiphenyl\",\"Pentachlorobenzene\",\"Hexachlorobenzene\",\"2,4'-Dichlorodiphenyldichloroethylene\",\"2,4'-Dichlorodiphenyldichloroethane\",\"2,4'-Dichlorodiphenyltrichloroethane\",\"2,4,4'-Trichlorobiphenyl\",\"2,2',4,5,5'-Pentachlorobiphenyl\",\"2,3',4,4',5-Pentachlorobiphenyl\",\"2,2',3,4,4',5'-Hexachlorobiphenyl\",\"2,2',4,4',5,5'-Hexachlorobiphenyl\",\"2,2',3,4,4',5,5'-Heptachlorobiphenyl\",\"2,2',5,5'-Tetrachlorobiphenyl\",\"2,3',4,6-Tetrachlorobiphenyl\",\"2,3',5',6-Tetrachlorobiphenyl\",\"2,2',3,4',5-Pentachlorobiphenyl\",\"2,3,3',4,5-Pentachlorobiphenyl\",\"3,3',4,5,5'-Pentachlorobiphenyl\",\"2,3',4,4',5',6-Hexachlorobiphenyl\",\"2,3,3',4,5,6-Hexachlorobiphenyl\",\"2,3,3',4',5',6-Hexachlorobiphenyl\",\"2,3,3',4',5,6-Hexachlorobiphenyl\",\"2,3,3',4',5,5',6-Heptachlorobiphenyl\",\"Bifenthrin\",\"Fenpropathrin\",\"Tefluthrin\",\"Transfluthrin\",\"2,3,4,5-Tetrabromo-6-chlorotoluene\",\"2,3,4,5,6-Pentabromotoluene\",\"2,3,4,5,6-Pentabromoethylbenzene\",\"2,3,5,6-Tetrabromo-p-xylene\",\"Allyl 2,4,6-tribromophenyl ether\",\"2-Bromoallyl(2,4,6-tribromophenyl) ether\",\"Pentabromobenzene\",\"Hexabromobenzene\",\"2,3,4,5,6-Pentabromobenzyl alcohol\",\"2-Ethylhexyl 2,3,4,5-Tetrabromobenzoate\",\"1-Fluronaphthalene\",\"Lilial\",\"Eugenol\",\"Isoeugenol\",\"4-Methoxybenzyl alcohol\",\"Methyleugenol\",\"Benzyl alcohol\",\"Estragole\",\"Benzyl benzoate\",\"Benzyl salicylate\",\"Celestolide\",\"Phantolide\",\"Tonalide\",\"Traseolide\",\"4,4'-Dichlorodiphenyldichloroethylene\",\"Methoxychlor\",\"4,4'-Dichlorodiphenyldichloroethane\",\"4,4'-Dichlorodiphenyltrichloroethane\",\"1,4-Chrysenequinone\",\"Hydroxychrysene\",\"1-Nitronaphthalene\",\"Hydroxyfluoren-9-one\",\"1,4-Naphthoquinone\",\"2-Methylnaphthalene\",\"1-Methylnaphthalene\",\"2,6-Dimethylnaphthalene\",\"1,3-Dimethylnaphthalene\",\"1,4-Dimethylnaphthalene\",\"1,5-Dimethylnaphthalene\",\"1,2-Dimethylnaphthalene\",\"1,8-Dimethylnaphthalene\",\"7,12-Dimethylbenz[a]anthracene\",\"2,4-D butyl ester\",\"Dimethachlor\",\"Alachlor\",\"Fenoxaprop-ethyl\",\"Metazachlor\",\"Metolachlor\",\"Pendimethalin\",\"Trifluralin\",\"2,2',3,4,4',5',6-Heptabromodiphenyl ether\",\"2-Chlorobiphenyl\",\"2,3-Dichlorobiphenyl\",\"2,2',5-Trichlorobiphenyl\",\"2,4',5-Trichlorobiphenyl\",\"2,2',3,5'-Tetrachlorobiphenyl\",\"2,3',4,4'-Tetrachlorobiphenyl\",\"2,2',3,4',5,5',6-Heptachlorobiphenyl\",\"2,2',3,4,4',5',6-Heptachlorobiphenyl\",\"2,2',3,3',4,4',5-Heptachlorobiphenyl\",\"2,2',3,4,5'-Pentachlorobiphenyl\",\"2,3,3',4',6-Pentachlorobiphenyl\",\"2,2',3,3',4,4',5,5',6-Nonachlorobiphenyl\",\"2,2',3,5,5',6-Hexachlorobiphenyl\",\"2,2',3,4',5,5',6-Heptachloro-4-methoxybiphenyl\",\"2,2',3',4,4',5-Hexachloro-3-methoxybiphenyl\",\"2,2',3,4',5,5'-Hexachloro-4-methoxybiphenyl\",\"2,2',3,4,5,5'-Hexachlorobiphenyl\",\"Mexacarbate\",\"Aminocarb\",\"Isocarbophos\",\"Carbaryl\",\"Dimethomorph_isomer2\",\"Ethiofencarb\",\"Methiocarb\",\"Iprovalicarb isomer 2\",\"Iprovalicarb isomer 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+          "cis-Cyfluthrin_isomer1",
+          "trans-Cyfluthrin_isomer1",
+          "cis-Cyfluthrin_isomer2",
+          "trans-Cyfluthrin_Isomer2",
+          "Citral (Geranial)",
+          "Camphor",
+          "Limonene",
+          "Isomethyl-alpha-ionone",
+          "delta-Iraldeine",
+          "Endrin ketone",
+          "Endrin aldehyde",
+          "Endrin",
+          "Malathion",
+          "Mevinphos",
+          "Metconazole",
+          "Ipconazole",
+          "Spiromesifen",
+          "17-alpha-Ethynylestradiol",
+          "Estrone",
+          "17-beta-Estradiol",
+          "Progesterone",
+          "Testosterone"
+         ],
+         "textposition": "middle right",
          "type": "scatter",
          "x": [
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@@ -2185,6 +2431,7 @@
         }
        ],
        "layout": {
+        "height": 800,
         "template": {
          "data": {
           "bar": [
@@ -3004,7 +3251,12 @@
         "title": {
          "text": "Lipids and lipid-like molecules"
         },
+        "width": 1200,
         "xaxis": {
+         "range": [
+          0,
+          1
+         ],
          "title": {
           "text": "Score"
          }
@@ -3017,9 +3269,9 @@
        }
       },
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          "name": "Matched Ions",
+         "text": [
+          "Bumetrizole",
+          "Drometrizole",
+          "2,4-Di-tert-butyl-6-(5-chloro-2H-benzotriazol-2-yl)phenol",
+          "Octrizole",
+          "1,2,7,9-Tetrachlorodibenzofuran",
+          "1,2,7,9-Tetrachlorodibenzo-p-dioxin",
+          "cis-Tetramethrin",
+          "trans-Tetramethrin",
+          "Chlorpyrifos oxon",
+          "1,2,3,4,7,8-Hexachlorodibenzo-p-dioxin",
+          "1,2,3,4,6,7,8-Heptachlorodibenzo-p-dioxin",
+          "Octachlorodibenzo-p-dioxin",
+          "Octachlorodibenzofuran",
+          "1,2,3,7,8-Pentachlorodibenzofuran",
+          "1,2,3,4,7,8-Hexachlorodibenzofuran",
+          "1,2,3,4,6,7,8-Heptachlorodibenzofuran",
+          "2,3,7,8-Tetrachlorodibenzofuran",
+          "2,3,7,8-Tetrachlorodibenzo-p-dioxin",
+          "1,2,3,7,8-Pentachlorodibenzo-p-dioxin",
+          "Eucalyptol",
+          "Safrole",
+          "Galaxolide",
+          "cis-Heptachlor epoxide",
+          "Carbofuran phenol",
+          "Atrazine",
+          "Phosmet",
+          "Praziquantel",
+          "Furathiocarb",
+          "Methabenzthiazuron",
+          "Tebuthiuron",
+          "Pyraclostrobin",
+          "Bendiocarb",
+          "Carbofuran",
+          "Ametryn",
+          "Carfentrazone-ethyl",
+          "Piperonyl butoxide",
+          "Prometon",
+          "Secbumeton",
+          "Fenazaquin",
+          "Fludioxonil",
+          "Terbumeton",
+          "Acibenzolar-S-methyl",
+          "Bupirimate",
+          "Buprofezin",
+          "Ethofumesate",
+          "Fipronil",
+          "Mefenacet",
+          "Methoprotryne",
+          "Prometryn",
+          "Cyazofamid",
+          "Ethiprole",
+          "Thiabendazole",
+          "Tricyclazole",
+          "Simetryn",
+          "Sulfentrazone",
+          "Terbutryn",
+          "Fluquinconazole",
+          "Fuberidazole"
+         ],
+         "textposition": "middle right",
          "type": "scatter",
          "x": [
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@@ -5401,6 +5776,7 @@
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        ],
        "layout": {
+        "height": 800,
         "template": {
          "data": {
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@@ -6220,7 +6596,12 @@
         "title": {
          "text": "Organoheterocyclic compounds"
         },
+        "width": 1200,
         "xaxis": {
+         "range": [
+          0,
+          1
+         ],
          "title": {
           "text": "Score"
          }
@@ -6233,9 +6614,9 @@
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       },
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+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "azoles = merged[merged['class'] == 'Azoles']\n",
+    "scatterplot_plotly(azoles, None).write_image(f\"scatterplot_azoles.png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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0HKTtzEHH0lYGp+HArTU/RUREREREpjUlP0VEZFoqcIWp9VfRnerDsq3h/ZZt053qZZavkiJ3Qf4CFBERERGRGc2yc7/NRFrzU0REpiXDMFhbvIquVC+N8VaCDh9gMJiNUeIp5OTiVRiGke8wRUREREREZAIp+SkiItNWubeED1afw9boTnYPNmADywoWsSy8gGJPYb7DExERERGRGUwNj3JDyU8REZnWitwFnFF6IqeXnACgak8REREREZEZRMlPERGZEZT0FBERERGRyWamVmPmkhoeiYiIiIiIiIiIyLSk5KeIiIiIiIiIiIhMS5r2LiIiIiIiIiIikmNqeJQbqvwUERERERERERGRaUmVnyIiIiIiIiIiIjlmYWCRu8asubzWZKLKTxEREREREREREZmWlPwUERERERERERGRaUnJTxlXTz75JBdeeCFVVVUYhsFDDz2U75BERERERERERCYdOw/bTKTkp4yroaEhVq5cyZ133pnvUEREREREREREZIZTwyMZV+effz7nn39+vsMQEREREREREZnUbNvAtnPXhCiX15pMVPkpIiIiIiIiIiIi05IqP6c5y7bpzWQodDoxjZmZ4RcRERERERERmWysN7ZcXm8mUvJzGrNsm++3tPDSwADHh0J8rqpKCVAREREREREREZkxNO19GuvNZHhpYIDWVIqXBgbozWTyHZKIiIiIiIiIiEjOqPJzGit0Ojk+FOKlgQHWhEIUOvXjFhERERERERGZDGwMbHLY8CiH15pMlA2bxkzD4HNVVTld83NwcJBdu3YNf11fX8/LL79MUVERtbW1E359ERERERERERGRA5T8nOZMw6DY5crZ9TZs2MDZZ589/PX1118PwBVXXMG6detyFoeIiIiIiIiIyGSmys/cUPJTxtVZZ52Fbdv5DkNEREREREREREQNj0RERERERERERGR6UuWniIiIiIiIiIhIjllvbLm83kykyk8RERERERERERGZllT5KSIiIiIiIiIikmO2bWDbOWx4lMNrTSZKfoqIiIiIiMikkLIyNMU6iGeTmJgUukOUewsxjJl5wy4iIu+ckp8iIiIiIiKSV4lsilf6dvFK327a471k7SwY4DM91AUrWVW4gAXBaiVBRWRasTGwyWHlZw6vNZko+SkiIiIiIiJ5M5RJ8LvmZ9jW34DP4abCV4jbdGHbNkOZBK/3N7J7sIWzylZxcvESJUBFROSoKPkpIiIiIiIieWHZFo+0vsjW/r3M8pXicbiGjxmGQdDlI+jy0Z3s57H2lwg5/SwrqMtjxCIiMtWo27uIiIiIiIjkRVOsk9f6G6jwFo1IfL5dsScMwIs9r5G1srkKT0RkQlmAhZHDbWZS8lNERERERETy4rX+BpJWmoDTe8SxJZ4IzfFu9sbacxCZiIhMF0p+ioiIiIiISF7UD7URdPrGNNbrcJOxMnQkeic4KhGR3DjQ8CiX20yk5KeIiIiIiIjknG3bpK0MDuNobkuN/Z3gRURExkjJTxEREREREck5wzDwOz2krPSYxtu2jY2N2zz82qAiIiJvp+SniIiIiIiI5MXi0Gzi2SS2bR9x7GAmTsDpZXagPAeRiYhMPDsP20yk5KeIiIiIiIjkxXHhWkLOAD2pgVHH2bZNZzLK3EAlZZ7CHEUnIiLTgZKf05ht28SyWfrSaWLZ7Jg+TRUREREREcmVIk+YU0qWMJhJ0JsaOOQ9i2VbNMY6KPaEObV0OYYxMxt2iMj0Y2Ng5XCbqQ2PnPkOQMZfIpvl5cFB1kej7IrHydg2TsNgvs/H6ZEIq4JBvA5HvsMUERERERHh5JKlZGyL57q2Up9qI+IK4HG4sG2bgUycRDZFubeQ91edTJWvON/hiojIFKPKz2lmVyzG1xsauL2piRcHBjCBgGliAi8ODHB7UxNfb2hgVyw2Ide/6aabMAxjxFZRUTF83LZtbrrpJqqqqvD5fJx11lls3bp1QmIREREREZHJz2GYvKt0BR+fcw6nlyzHYZgMZRLEsylKPRE+UHUKn5hzDnMCFUc+mYiIyNuo8nMa2RWL8Z2mJtpSKRb4fLjNkbntMreblGWx841xX5w1i/l+/7jHsXTpUv785z8Pf+14S5XpN7/5TW6//XbWrVvHwoULufnmmznnnHPYvn07oVBo3GMREREREZHJzzAMZvlLmeUv5YyyFcSzSUzDJOjw4jA1a01EpifbNrDt3E1Fz+W1JhNVfk4TiWyWH7W10ZZKscTvPyjxeYDbNFni99OWSvGjtjYS2ey4x+J0OqmoqBjeSktLgf1Vn3fccQc33ngjl1xyCcuWLeOee+4hFotx3333jXscIiIiIiIy9XgdbgrdISKugBKfIiLyjin5OU28PDjI7nicBT7fERcAN95Y/3N3PM4rQ0PjHsvOnTupqqqirq6Oyy67jD179gBQX19PW1sb55577vBYj8fDmWeeyTPPPDPucYiIiIiIiIiITFb2G02IcrnNREp+TgO2bbM+GsWAw1Z8vp3HNDGAp/r6xrUL/Nq1a/nJT37Cww8/zH//93/T1tbGqaeeSnd3N21tbQCUl5ePeEx5efnwMRERERERERERkfGS1+Tnk08+yYUXXkhVVRWGYfDQQw+NOD6W5jjJZJLPf/7zlJSUEAgEuOiii2hqasrhs8i/uGWxKx6n2Hl0S7gWO53siseJW9a4xXL++efz4Q9/mOXLl/Pe976X3//+9wDcc889w2PeXplq2/YRq1VFRERERERERKYTCyPn20yU1+Tn0NAQK1eu5M477zzk8QPNce68805efPFFKioqOOeccxgYGBgec+211/Lggw9y//33s379egYHB/nABz5AdgLWspysUpZFxrZxHWUC0WkYZGyb1DgmP98uEAiwfPlydu7cOdz1/e1Vnh0dHQdVg4qIiIiIiIiIiLxTeU1+nn/++dx8881ccsklBx0bS3OcaDTKj370I771rW/x3ve+l9WrV/PTn/6UV199dUS38enObZo4DYP0UU5fz9g2TsMY81T5Y5FMJnnttdeorKykrq6OiooKHn300eHjqVSKJ554glNPPXXCYhARERERERERkZlp0q75OZbmOBs3biSdTo8YU1VVxbJly2ZUAx2faTLf56M7kzmqx3VnMsz3+fCNY/Lzhhtu4IknnqC+vp7nn3+ej3zkI/T393PFFVdgGAbXXnstt9xyCw8++CBbtmzhyiuvxO/3c/nll49bDCIiIiIiIiIik50aHuXG0S0SmUOjNcdpaGgYHuN2uyksLDxozGgNdJLJJMlkcvjr/v7+8Qo7LwzD4PRIhBcGBkhZ1pgqOZOWhQ2cUVAwruttNjU18bGPfYyuri5KS0s5+eSTee6555g9ezYAX/7yl4nH41xzzTX09vaydu1aHnnkEUKh0LjFICIiIiIiIiIiApM4+XnAsTTHOdKYW2+9la9//evjEt9ksSoYZJ7Px85YjCV+/6jP37ZtdsXjzPf7WRkIjGsc999//6jHDcPgpptu4qabbhrX64qIiIiIiIiITCU2Bradu2rMmVr5OWmnvY+lOU5FRQWpVIre3t7DjjmUr3zlK0Sj0eFt37594xx97nkdDq6uqKDC7WZbLEbyME2MkpbFtliMCrebT1dW4nU4chypiIiIiIiIiIhIbkza5OdYmuOsWbMGl8s1YkxraytbtmwZtYGOx+MhHA6P2KaD+X4/X5w1i/l+P7sTCV6LxehIpehJp+lIpXgtFmN3IsF8v59ra2qY5/PlO2QREREREREREZEJk9dp74ODg+zatWv46/r6el5++WWKioqora0dbo6zYMECFixYwC233DKiOU4kEuHqq6/mS1/6EsXFxRQVFXHDDTewfPly3vve9+braeXVfL+ff5s9m1eGhniqr49d8Tgxy8JpGJwYCnFGQQErAwFVfE5jGctid1cP29o6iMYTuBwmNYUFLKssp8ivhLeIiIiIiIjIZGBhYOVwKnourzWZ5DX5uWHDBs4+++zhr6+//noArrjiCtatWzem5jjf/va3cTqdXHrppcTjcd7znvewbt06HDM4ued1OFgbDnNSKETcsoabIPlMc1ybG8nk09DTx29efY093T2ksxYuhwPLtnmmvpFHfD7WzqnhvMULcM/gfx8iIiIiIiIiMnMYtm3b+Q4i3/r7+4lEIkSj0YOmwCcSCerr66mrq8Pr9eYpQpmMJtvvRkNPH/e88BJdgzGqI2F8btfwMcu26R6K0RuLc8a82Xx41TKc5qRd9UJERERERESmgdHyLTPZge/L+vrvEAzlbobm4ECc0+u+OON+Hsp+iEwD6WyWX7+yla7BGPNKikYkPgFMw6A0GKAyEuKZ+n1s2teSp0hFRERERERERHJHyU+RaWBnZzcNvX3MKoiMurRByOPBNOH5xiYsFX2LiIiIiIiI5I2NkfPtWHzve98bnvW6Zs0annrqqVHH33vvvaxcuRK/309lZSWf+tSn6O7uPqZrjwclP0Wmga2t7WQtG6/ryMv4lgaCNHT30tQbzUFkIiIiIiIiIjJV/fznP+faa6/lxhtvZNOmTZxxxhmcf/75NDY2HnL8+vXr+eQnP8nVV1/N1q1b+cUvfsGLL77Ipz/96RxH/iYlP0Wmge5YHI9zbE2M/G4XiUyGwVRqgqMSERERERERkans9ttv5+qrr+bTn/40ixcv5o477qCmpoa77rrrkOOfe+455syZwxe+8AXq6uo4/fTT+exnP8uGDRtyHPmblPwUmQacpslYe5fZto1hGDjU8EhEREREREQkbyzbyPkG+xsuvXVLJpOHjC+VSrFx40bOPffcEfvPPfdcnnnmmUM+5tRTT6WpqYk//OEP2LZNe3s7v/zlL7ngggvG95t3FJT9EJkGagsiJDKZMSVA++IJQh4PpQF/DiITERERERERkcmkpqaGSCQyvN16662HHNfV1UU2m6W8vHzE/vLyctra2g75mFNPPZV7772Xj370o7jdbioqKigoKOC73/3uuD+PsVLyU2QaWF5VQcjjoS+eGHWcbdt0DcVYWV1BkZKfIiIiIiIiInmTr4ZH+/btIxqNDm9f+cpXRo3z7Y2VD8woPZRt27bxhS98ga997Wts3LiRP/3pT9TX1/O5z31ufL5px+DI3VFkyhvtl1Kmh4pwkONnVfH47nq8Tic+t+ugMbZts68vSqHPy9rZNXmIUkRERERERETyLRwOEw6HjziupKQEh8NxUJVnR0fHQdWgB9x6662cdtpp/OM//iMAK1asIBAIcMYZZ3DzzTdTWVn5zp/AUVLycxpqTSbZNDjI7nic+kSClGXhNk3qvF7m+XysDgap9HjyHaaMI8Mw+MCy4xhKp3lpXzNep4vSYACvy4lt2/TFE3QODhHxefmb1cuYXVSQ75BFREREREREZBJzu92sWbOGRx99lA996EPD+x999FEuvvjiQz4mFovhdI5MNzoc+xs0j7VXyXhT8nMa6Umn+XVnJ8/299ObyeA2DIIOBw7DIJHJ8HQ0yl/7+ih0OjklHOaS0lKKXAdXCMrU5He7uHzNCuaVFPFCQxPNfVEylgVAyOPh1Lm1nDKnlrriwjxHKiIiIiIiIiJvnYqeq+sdreuvv56//du/5YQTTuCUU07hBz/4AY2NjcPT2L/yla/Q3NzMT37yEwAuvPBCPvOZz3DXXXdx3nnn0drayrXXXstJJ51EVVXVuD6fsVLyc5p4dXCQdW1t7InHqfJ4WO73H3Kqu23bdGUy/L67m9diMa6sqGB5MJiHiGUieJxO3jVvDifPqaGhp5dYKo3DNCkLBigL6ecsIiIiIiIiImP30Y9+lO7ubr7xjW/Q2trKsmXL+MMf/sDs2bMBaG1tpbGxcXj8lVdeycDAAHfeeSdf+tKXKCgo4N3vfje33XZbvp4Chp2vmtNJpL+/n0gkQjQaPWjNg0QiQX19PXV1dXi93jxFOLpXBwf5z+Zm+jIZFvh8OMawvmfWttkZj1PgdPL31dVKgB6DqfC7ISIiIiIiIpIvo+VbZrID35e/7PkewZAvZ9cdHIjznrnXzLifh7q9T3Hd6TTr2troy2RYNMbEJ4DDMFjk89GXybCurY2edHpc4nnyySe58MILqaqqwjAMHnrooRHHbdvmpptuoqqqCp/Px1lnncXWrVtHjEkmk3z+85+npKSEQCDARRddRFNT07jEJyIiIiKTh23bdCV72RdrozneTjyTyHdIIiIiMs0o+TnFPdjZyZ54nAU+31F3dDcMgwU+H3vicX7d2Tku8QwNDbFy5UruvPPOQx7/5je/ye23386dd97Jiy++SEVFBeeccw4DAwPDY6699loefPBB7r//ftavX8/g4CAf+MAHyGaz4xKjiIiIiOSXZVvsGNjLQ81/5r6G3/Lzxt9zf+Pv+Z+G/2V950Z6U9F8hygiIjLxbLBzuDFD535rzc8prCWZ5Nn+fqo8njFXfL6dwzCo8nh4rr+fC4qL33EX+PPPP5/zzz//kMds2+aOO+7gxhtv5JJLLgHgnnvuoby8nPvuu4/PfvazRKNRfvSjH/E///M/vPe97wXgpz/9KTU1Nfz5z3/mvPPOe0fxiYiIiEh+ZW2Lp7s2sqFnC5ZtUegOU2QWYGPRnx5ifddGdgzU877Kd1HlK8t3uCIiIjLFqfJzCnt5cJDeTIYS5zvLYZc4nfRkMmwaHBynyA6tvr6etrY2zj333OF9Ho+HM888k2eeeQaAjRs3kk6nR4ypqqpi2bJlw2NEREREZOp6pfc1nu9+haDTzyx/BQGnH6fpwGW6KPYUUOuvpCvVx8NtT9Gfntj3pyIiIjL9Kfk5he2Ox3EbxlFPd387wzBwGQZ74vFxiuzQ2traACgvLx+xv7y8fPhYW1sbbrebwsLCw44RERERkakpmU3xct9reEw3YdehG26ahsksXzntiW52DOzNbYAiIiI5ZGPkfJuJNO19CqtPJAg6HONyrqDDwZ5EbhaYf3uy1rbtIyZwxzJGRETkcNKZLDtbu9ja2E73wBCGYVAWDrJsdgVzK4pwmPo8WCQX9saa6U71UeEtHXWcaZj4HF62RHewsuA4XKZuW0REROTY6F3EFGXbNinLOua1Pt/OaRikLGtCk4wVFRXA/urOysrK4f0dHR3D1aAVFRWkUil6e3tHVH92dHRw6qmnTkhcIiIyve1s7eIPG16nqTuKbdt4Xfvf/uxo7uS5nY3MKSvkwhOXMKs4kudIRaa/vlQ/lm2PKZkZdPoZyAwRy8aJmKEcRCciIpJbua7GnKmVnypzmKIMw8BtmmTt8WnVlbFt3KY5odWVdXV1VFRU8Oijjw7vS6VSPPHEE8OJzTVr1uByuUaMaW1tZcuWLUp+iojIUdve3MnPntxEU3eU6qIw8yqKqS6OUF0cYX5lCeWRILtau7j38ZfY19WX73BF5C0MeKML7gxtTSsiIiLjQpWfU1id18vT0ei4nGswm2V18NDrLh3VeQYH2bVr1/DX9fX1vPzyyxQVFVFbW8u1117LLbfcwoIFC1iwYAG33HILfr+fyy+/HIBIJMLVV1/Nl770JYqLiykqKuKGG25g+fLlw93fRURExqI/luCh57cylEhRV1Z4yA/4fG4Xc8uL2dPew4PPbeFz7zsZ9ztsJCgihxdw+oH9Hd8dxuh1GLFsAp/Ti8/hzUVoIiIiMk3p3f0UNs/n4699fe94qrpt26Rtm7k+3zuOacOGDZx99tnDX19//fUAXHHFFaxbt44vf/nLxONxrrnmGnp7e1m7di2PPPIIodCbU5m+/e1v43Q6ufTSS4nH47znPe9h3bp1OMZpfVMREZkZtu1rp71vgLnlRaO+TpqGQW1JhH1dUbY3d7F8dkUOoxSZWeoCsyhwh+hL9VPsKTjsONu2GczEWF2wGI/DnbsARUREcsjCwMrhVPRcXmsyUfJzClsdDFLodNKVyVDqch3zeboyGYqcznGp/DzrrLNGnZpkGAY33XQTN91002HHeL1evvvd7/Ld7373HccjIiIzk2XZbNjVhMfpHFMzo/3Vnjav1Lco+SkygQJOH0vDC1jftZGA04fX4TlojG3btCW6KHCFWBSem4coRUREZDrRmp9TWKXHwynhMC3J5DGv/Zm1bVqSSU4Oh6n0HPzmU0REZCqKp9L0DMYI+8f+2hb0emjuiWp9QZEJdlLxCpZHFtKe6KIj0U3aygBvVns2xlpxmy7eXX4KJZ7CI5xNRERk6rJtI+fbTKTKzynuktJSXovF2BmPs8jnO6rp77ZtszMeZ67PxyWlpRMYpYiISG5lLQvLBuMopvYYhkHWsrFtmMD+fyIzntt0cW7FaZR5itjSv5O2RCc2NjbgMz0cF6rj+KKl1Pgr8x2qiIiITANKfk5xRS4XV1ZU8J/NzWyPx1ng8+EYwx1b9o3EZ4HTyZUVFRS9g2nzIiIik43P7cLrcpJIpYkwtmYpiVSa6uIIpqnMp8hEc5kuTixewcrCxeyLtRLPJjENgxJ3IaWe0dfpFRERmS7sN7ZcXm8m0rT3aWB5MMjfV1dT7fGwZWiIznT6sFP2bNumM51my9AQ1R4Pf19dzfJxWOtTRERkMnE5HayYU0k0nhzTNHbLsomnMqyqq8pBdCJygNt0MS9Yy7LIApaE51PmLVbiU0RERMaVKj+nieXBIDfOns2vOzt5rr+fV2MxXIZB0OHAaRhkbJvBbJa0bVPkdHJBcTGXlJaq4lNERKatFbMrePb1BnqH4hQF/cP701aWZDaDYRh4HE6chklHdJDCoI8lNeV5jFhERERERMabkp9jZFlWvkM4oiKXi09XVXFBcTGbBgfZHY9Tn0iQsiwCDgerg0Hm+nysDgbV3GgcTIXfCRGRmay6OMLpi+fwyCs7MTBwuA1aY/20xPpJW1kA3KaDMF78hptLT1lJYdCX56hFREREZKbYP+09dzMeZuq0dyU/j8DtdmOaJi0tLZSWluJ2uyf9VJxC4N2BAO8OBID9U91HxGzbJBKJ/AQ3Ddi2TSqVorOzE9M0cbvd+Q5JREQOwTAM3rNyAVnb5qGXtrA32gsuG7/Hhct0kE5l6YnH6XbGmFtXRKR8bGuDioiIiIjI1KHk5xGYpkldXR2tra20tLTkOxyZRPx+P7W1tZimls4VEZmsnA6TmjkRHF1Q3Okj02+RSdtksXG7XMyaV0BpmZ9uYty/exNXu9ZSFyrKd9giIiIiMgNYtoFl567ALpfXmkyU/BwDt9tNbW0tmUyGbDab73BkEnA4HDidzklfBSwiMtNlLYu/tOzEGTRZW1VLMpkhnd6/bInH7cDldgAQtr3siHbyZMtu5iws1N93EREREZFpQsnPMTIMA5fLhUsNgkRERKaM3QPd1Pf3UOkPA+DxODnUsteGYVDmC7G1t522+MDweBHJj6FUingmg9thEnR7MPWBhIiIiBwjJT9FRERk2moajJKysvidR16fucDtpSM+SNNQVMlPkTywbJsd3V281NrC1s4O0tksDsOgJlLAidXVLC8rx+tUIYKIiEwfNkaOGx7NzA8TlfwUERGRaSttZcf8Fs8wDEwDMpaWuBHJtXQ2y293vM6TDXtJZbMU+XyE3B6ytsXrXZ1s7exgSUkpH1u+giKfP9/hioiIyBSi5KeIiIhMWz6nCxuwbfuI63hmLAsw8DlUWSaSS7Zt84edO/hz/W7K/AEKvL4Rxwu8PpKZDK92tGO/upmrVq/Br6WoRERkGlDlZ26oTbWIiIhMWwsiJYRcHqKpxBHHdieHKPb4mRsuzkFkInJAy+AA6/c1UOz1H5T4PMDjdFJXWMjWznZebmvNcYQiIiIylSn5KSIiItNWhS/E0sJy2uIDZG3rsOPSVpaeRJw1pbMIu705jFBEXmlrZSCZpMh36MTnAR6HE4/DyXPN+8hah//3LCIiMlXYdu63mUjJTxEREZm2DMPgvJrjqA0UsCvaTTKbOWhMLJNid383iwpKOatqXh6iFJnZtnV2EHS7j7g0BUCx309Lfz+dsaEcRCYiIiLTgdb8FBERkWmtwh/iikUn8vPdL1M/0INl2/jfWAs0lk7hMh2sLKri0nkribhHrzwTkfEXz2RwmmOryXCZDrKWRSqrxmQiIiIyNkp+ioiIyLRXHYjwD0tPZ0e0k5e7mmmPD2IY+/evKq5ifrgExxiTLyIyvgIuF73x+JjGprJZnA4HHoduY0REZOqzMLBy2IQol9eaTPSuQURERGYEt8PBsqIKlhVV5DsUEXmLFeUV7OjuxrbtI05974oNsbC4hNJAIEfRiYiIyFSnEgcREREREcmbleWVFHq9dAyNvo5nPJ0ma9ucVD0Lcwzrg4qIiEx2NkbOt5lIyU8REREREcmb0kCA98ydx2AqRefQEPYhWtEOpVI0RPtYXVHJynJVb4uIiMjYadq7iIiIiIjk1dlz5mLZNn/es5vt3V2EPR48TidZyyKaTOAwTE6qnsXfLFmGx6lbGBERERk7vXMQEREREZG8cpgm58ydz9LScl5ub+Wl1haSb3SBP2VWLWuqqllQVDzmrvAiIiJTQa6nos/Uae9KfoqIiIiISN4ZhkF1OEx1OMz58xeSzmZxmKYSnpNYxrLY1x9lKJ3CtsHnclIbLsDtcOQ7NBERkWFKfoqIiIiIyKRiGoamt09iA6kkm9vbeK6licZoH8lsBjBwO0yqgmFOrq5hVXkFBV5fvkMVEZnUbHv/lsvrzUR6RyEiIiIiIiJjsq8/ys+2bmZPXw8eh5OyQBDfG4nqZDZD+9AgP9u6maf27eVjS1Ywv6g4zxGLiMhMp+SniIiIiIiIHFHr4ADrNr9Ey8AA8woPXoPV63RRGykga1nUR3u559VNfGrl8cwtKMpTxCIik11u1/xkhq75qQV0REREREREZFRZy+KXr22heaCf+UdoPuUwTeYVFNEdj/OL17aQyGRyGKmIiMhISn6KiIiIiMxAGcuiLxmnMz5ENJnAmqkLgcmY7OnrZVdvD7PCEUzjyJVDhmEwO1JAYzTKa12dOYhQRETk0DTtXURERERkBulNxNnc1cZzbY10x2NkbRunaVITirC2vIalxWX4Xe58hymTzMa2FpLZDIGj+N1wOxxgwIutTawqr8AYQ9JURGQmsW0D287d38ZcXmsyUfJTRERERGQGsG2bZ1ob+X3963THY/hcLgrcXkzDIGNZvN7TyZaudqqDEf5mwTKOKyrNd8gySWQti22dHUQ8R9+9vcjrZ09fL4PpFCG3ZwKiExERGZ2SnyIiIiIi05xt2zzeVM+vd2/FbZosLCw5aOpyoddH2srSOBBl3baNfHLx8SwpLstTxDKZpLJZ0lYWt+PoV01zmSbxTJpEJqPkp4jI21hvbLm83kykNT9FRERERKa57b1d/Lb+NQJOF7OCh1+z0WU6mBsuZCiT4v4dm+mKD+U4UpmMHKaJaRjHtC6shY1pGKM2SBIREZlIegUSEREREZnmnmtrJJZOU+4PHnGsYRjMCRXSNjTAK52tOYhOJjuXaVLiCzCQSh31YwdTKcJuz1GtFSoiIjKelPwUEREREZnG2oYG2NLdTpkvMObHmIZB0OXm2bZ9JLOZCYxOpgLDMFhbPYtUNkPGGvukSdu2GUglOalq1v7mRyIiMoKNkfNtJlLyU0RERERkGtsd7WEglaTA4z2qx5X6ArQPDbBvIDpBkU1tlm1T39vLK22tbG5ro21wAPsYpoVPFctKyyn1B2gfGhzzY7riMSIeL6vKKyYwMhERkdGp4ZGIiMgkYdk2e6I9vNzZSstgPw7TYG64iFVlVVT4gxiHWaNPRGQ0iWwGwzCO+m+Ix+EgbVkkVPk5gmXbvNTSwjP79lHf20Mis//7E3J7WFpWxhmzZzO3qCjPUY6/sMfDe+vm84vXttAdj1Hs8486PppM0BuPc8GCRZQFjrzcgojITGTbBradu/f4ubzWZKLkp4iIyCQQS6f41c6tbOhoIpHJ4He6sLB5paONx/bt4ZzZ83lv7fzDNikRETkcEwOOoSDRwsYwwKG/O8Ms2+YPO3bwyO5dYNuUB4P4XS4A+hIJnm/ax+tdnVy2fAUrK6ZfteMZNbMZTCX50+6dDKSSVASCeJ2uEWOS2QwdQ0MkMhnePWcu75u7IE/RioiI7Kfkp4iISJ5lLYtf7tzC+pYGqoNhwm7P8DHbtumMD/G/u1/DZTo4u2ZuHiMVkako4vFiGAZpK4vLHPu6i0PpFD6ni7D76KbLT2cbmpt5ZNcuCnxeiny+EccKfT4KvF4aolF+uXULpYEAVaFQniKdGKZh8P55Cyn2+XmycS+N/VGylrV/PU8D0tksBgZVoTBn1MzmtFm1ONTlXURE8kzJTxERkTzbHe1hQ3szs4JhQm9JfML+JhNl/iAZq5/H9u3mxPJqgm8bIyIymuMKSyj3B+iMD1EVCI/5cR2xIVaUVlIVmF4JvGOVtSye2deIYXBQ4vMAwzCYHYmwvaubl1paqFq0KMdRTjzDMDi5uoY1FVXs6OlmS2c70UQCC5uIx8viklIWl5TicehWU0TkSGyOaXLGO7reTKRXJBERkTx7ubOVlJU9KPH5VmX+ILujPWzt7mBtZU0OoxORqc7vcrO2vIZf795Gmc/COYZKvHgmjQ2cWD5L6w2/YW9fH3t7+ygPjr5+pWEYFHg9bGhu5j1z5+JzuUYdP1W5HA6WlpaxtLQs36GIiIiMSnMQRERE8qx5MIrfOfrNsdM0wYauRCxHUYnIdHJSRQ1zI4XsjvaQtaxRxyazGer7+1hZWsnSYiW2DogmEqSy2eE1PkcT9HgYSqcYSCZzEJmIiExVNkbOt5lIyU8REZE8MwwD2x7DJBQDNTwSkWNS7PPz8eNWUROKsKOvm+5EDOttf3cylkVbbIDd0V5WllZw2cIVmrr8Fgf+/I7l7/WBMaqaFRERyT+9mxEREcmzeZFitnV3YNv2YW+UU9ksJgaVWntPRI5RbaiATy87kT837mJzVxvbe7twmSamYZCxLSwbyvwBLqxbxHtq5xNwufMd8qRS6g/gd7kYSCYJe0dvAtWXSFDiDxA5wjgREZnZbNvAtnP3QVkurzWZKPkpIiKSZ6tKK3miaQ/diRglvsAhxzQPRqkOhllcVJrj6ERkOin3B/n4cas4Nz7E5q422oYGSGQy+F0uZocLWF5cMer6wzNZdTjMopISNrW1EvJ4DvthVdayGEqnuWDWrP1d0EVERCSvlPwUERHJs1nBMGfXzOX39dtJWxZl/gAOY//KNKlslubBftwOJxfMPU5TUEVkXJT6ArynZl6+w5hSDMPgjDmz2dndTVN/P7PC4YMSoFnLYndvL7MjBayurMxTpCIiIvJWuoMSERHJM8MweN/shbhMB0801bOztxveWIzcNAyqgyE+MHcxq0p1Iy0ikk/HlZTykaVLefC1bezo6qbQ7yPodmPbNr2JBIPJJLMLCvn4ihUU+nz5DldERCY5+40tl9ebiZT8FBERmQQcpsm5sxewtqKGV7vb6UvEMYz9a3wuKSrD69RLtojIZHDSrFmUB4NsbGlhU2sL3bEYBlDo83H+/AWsrqqiSIlPERGRSUN3UiIiIpNIxOPl9KrZ+Q5DRERGMbuggNkFBZwzbx4DqRSmAYVeHx59UCUiIkfBxsAmhw2PcnityUSvziIiIiIiIscg5PEQ8qhBlIiIyGRm5jsAERERERERERERkYmgyk8REREREREREZEcs+39Wy6vNxOp8lNERERERERERESmJVV+ioiIiIiIiIiI5JgaHuWGkp8iIiIiIiIy5aWtLEOZJFnbwudw4XeqGZWIiCj5KSIiIiIiIlNYd3KQLX3NbOyuJ5qKY2PjMh0sjlSxsrCWuaFSHIZWfBORyce2DWw7h5WfObzWZKLkp4iIiIiIiEw5tm3zYnc9f2p5ld7UEAGHh5DLi4lB0srwbOcuXuyuZ0VhDR+sOZ6AKkFFRGYkJT9FRERERERkynmhu56HGjfiMh3MD5ZjGm9WNAWBYk+QoUySF7v2kMpmuKxuLT6HO38Bi4hIXqj2X0RERERERKaU9ng/f2rejMt0UOkrGJH4fKuA08PsQAmb+/bxbMeuHEcpIjI6Ow/bTKTkp4iIiIiIiEwpW/r20ZeKUeGNHHGs1+Ei5PSysWcviWw6B9GJiMhkomnvIiIiY2DbNs2xPvpSMSxsQi4vtYEiNVAQERHJsUQ2zcbuBkIuL8ZhKj7frsQTojHWzY7+NlYU1kxwhCIiY2NjYJPDhkc5vNZkouSniIjIKGzb5tW+Zl7sqmf3QCexTArDALfppDZQxIkldawuqsVlOvIdqoiIyIzQn47Tn45T4PaP+TEu04Ft2/QkBycwMhERmYyU/BQRETkMy7b4c8s2/tL2OlnbotQTotpXgGEYxDIpGgd72D3Qyd6BLj5Yuxq3Qy+rIiIiEy1rW1jYh13nczQZ25qAiEREZDLTXZqIiMhhPN9VzyOtr1Hg8lHkCYw45ne6mR0sZjCd5JnO3ficbi6sWZmnSEVERGYOj+nCZTpIZbP4xjjxwrZtbPav/ykiMlnY9v4tl9ebibRQmYiIyCEks2nWt+/EYzoOSny+VdDlodgTYEP3XroSAzmMUEREZGYqdPuZEyihOzX2KewDmQR+h5s5wdIJjExERCYjJT9FZFrrjyXY0dzJtsZ2drd2k0xn8h2STBGvR9tojUcp84aOOLbIHSCairGlryUHkYmIiMxshmGwpngONjbJ7JHf29m2TUdigPmhMqp9BRMfoIjIGB1oeJTLbSbStHcRmZZaevrZuLOJV+pbiQ7FsSwbp8OkvCDECQtmsXp+NSGfJ99hyiTWGo9iYeMyj/xSaRgGHtPFnoFOzqpYlIPoREREZrZF4QoWhSvYFm2hLlB62MaDtm3TGu8j4HRzWtmCMXeHFxGR6UPJTxGZdl5v6uDBp7fQER2kKOhndmkhpmmQymTp7h/ioWe3sqWxjY+esZLi8OGnM8vMlrIyGEexJo7DNElZqiwWERHJBY/DxSW1J5Da+zw7+9spdgco9ARwGPsnN9q2zVAmSUeyH5/DzcU1x7MgXJHnqEVERtKan7kxqae9ZzIZ/vVf/5W6ujp8Ph9z587lG9/4Bpb1Zoc+27a56aabqKqqwufzcdZZZ7F169Y8Ri0i+dTU1cev1r9KNBZnQVUJJZEADoe5vzLP5aSqOMKc8kJ2tXTxy/WvEk+m8x2yTFJ+h5ujeW+QsjIEXd4Ji0dERERGKvYE+du6U3l3xWIwDPYMdrJzoJ1dA+3sHGinNx1jUbiSj889hTXFc/IdroiI5Mmkrvy87bbb+P73v88999zD0qVL2bBhA5/61KeIRCJ88YtfBOCb3/wmt99+O+vWrWPhwoXcfPPNnHPOOWzfvp1Q6MjrtInI9PL86410D8SYX1l82GlNLqeD2WVF7GjpZNu+dtbMn5XjKGUqmBsqxeNwEssk8TtHXyIhY2WxbJvjIqooERERyaWw28dFNas5s3wRr/e30puKkbUsfE4Xc4Nl1AaKMI1JXfMjIiITbFInP5999lkuvvhiLrjgAgDmzJnDz372MzZs2ADsr/q84447uPHGG7nkkksAuOeeeygvL+e+++7js5/9bN5iF5Hc6xmIsaWhneKQ/4jrObmdDlwOk407m1g9txrT1PpPMtKcYDF1wRJ29LczL1g66u9UW6KfUm+IJZHKHEYoIiIiB0TcftaWzMt3GCIiRynXTYhm5n3vpP4I7PTTT+cvf/kLO3bsAOCVV15h/fr1vP/97wegvr6etrY2zj333OHHeDwezjzzTJ555pnDnjeZTNLf3z9iE5Gpr6krSn88QUHQN6bxhUE/zd1R+obiExyZTEWmYXJO1RLCLh+NsW6sQyyQY9s2bfEolm1zTtWSI1aIioiIiIiISG5N6srPf/qnfyIajXLcccfhcDjIZrP8+7//Ox/72McAaGtrA6C8vHzE48rLy2loaDjseW+99Va+/vWvT1zgIpIX6WwWAzDH2MXT6TDJWjbprHXkwTIjzQuV8dG6E3mw4SV2DbTjd3oIO71gQCyToj8dp8Dt54O1q1lTNDvf4YqIiIiIyBRiv7Hl8noz0aROfv785z/npz/9Kffddx9Lly7l5Zdf5tprr6WqqoorrrhieNzbpyLatj3q9MSvfOUrXH/99cNf9/f3U1NTM/5PQERyyu10YgNZy8JhHrmwPZ2xcDpMPE7HxAcnU9biSCXli85iS18zG7r2Ek3HsW0bv9PDGeULWF44iwpfJN9hioiIiIiIyCFM6uTnP/7jP/LP//zPXHbZZQAsX76choYGbr31Vq644goqKvY3lmhra6Oy8s111jo6Og6qBn0rj8eDx6OpiSLTTW1pAYVBH70DcUoigSOO7xmMsbimjEhAHbpldEWeAO8qX8ippfMYyqQAG7/Tjcuc1C+jIiIiIiIiM96kXvMzFothvq16y+FwYFn7p6jW1dVRUVHBo48+Onw8lUrxxBNPcOqpp+Y0VhHJv0jAy8q6KnoGY1jW6AX9iVQa27Y5fl71EZsjiRzgNB1E3D4ibr8SnyIiIiIi8o7YNti2kcMt3884Pyb1nduFF17Iv//7v1NbW8vSpUvZtGkTt99+O1dddRWwf7r7tddeyy233MKCBQtYsGABt9xyC36/n8svvzzP0ctkN5RKMZRO4TRNCry+Ma8TKZPbSYtqeb2pg73tPcwuLzzk9PdkOkNjZx+r5laxuKYsD1GKiIjIeBlMJtnb3Ucqk8HjcjKnuJCA253vsERERGSSmNTJz+9+97t89atf5ZprrqGjo4Oqqio++9nP8rWvfW14zJe//GXi8TjXXHMNvb29rF27lkceeYRQKJTHyGUya+qP8nxLEy+3tRJPpzFNg9mRAk6qmsWq8kpcDq3/OJWVFwS59PSV/PLpzexp6ybg8VAY9OFwmKTSGbr6Y2StLCvqKvnQqctwuyb1n0ERERE5jMFkkid27mVjYzPdQ7Hhdf9LgwFOmF3Nu+bX4Xe78h2miIjIYanhUW4Ytj1Ti17f1N/fTyQSIRqNEg6H8x2OTKBXO9r5+dbNdMVjFHl9+F1uspZFV2L/G+ZTZtXwN4uX41YCdMrrGYixub6Vjbua6O6PYdk2LofJrNIC1syfxbLZFXjdSnyKiIhMRQOJJD994WW2trRT4PdREvTjME0yWYuuoSGi8QQrqyu5/KSVqgIVEckj5VsO7cD35a5XfokvdOR+FeMlPjDE3638yIz7eejOX2aM1sEBfr7tVQZSKRYVlYxY5zHi9TKQSrK+sYEin5/z5y3MY6QyHopCfs5aMY9TFs+mKzpEJmvhcTspiwQxTS1xICIiMpX9aesOtra0U1dSiNv55i2N02FSEQ5R4PPxSnMrZa8FuHjlkjxGKiIicngH1uLM5fVmoknd8EhkPL3U2kLn0BBzIgWHbHATcnuIeLw827SPgVQyDxHKRPC4nFSXRJhdXkhFYUiJTxERkSmua3CIV5pbKQ0FRiQ+38rrclLk97NpXwt98USOIxQREZHJRMlPmRHS2SwbWpsp8HpH7exd4g/QFRtiR3dXDqMTERERkbHa0dFFNJ6kwO8bdVxRwEdPLM6uDr2vExERmck07V1mhHgmQzyTwXuY6oADnKaJDQyl07kJTERERESOSjyVwTQMzFE+0AZwmPvrPGIpva8TEZHJSQ2PckOVnzIjuB0mTsMgY1mjjrNtG2xbDY9EREREJimXw8SybY7Ut9W2bWwbXHpfJyIiMqMp+SkzgtfpYklpGT2J+KjjehMJwh4vcwsKcxSZiIiIiByN2qICfC4nQ6nUqOP6E0mCHjeziwtyE5iIiMhRsjFyvs1ESn7KjHF8RRVeh5OuWOyQxzNWlrahAVaUlVMWCOY4OhEREREZi9lFBcwvK6a1bwDrMNWflm3T3j/IoopSKsOhHEcoIiIik4mSnzJjLCou4dy584kmEzRE+0hk9q//ZNk2nbEhdvT0sKi4hPPnL8xzpCIiIiJyOIZh8P6liygLB9nT2UP8bWt6xlIpdnV2U10Q4rzFC0ZtdikiIiLTnxoeyYxhGAbnzVtAodfHU/v20tgfJZO1MAwo8Hg5p24e762bR6Fv9M6hIiIiIpJfswojfHLtan6z+TXqu3tJZjKYhollW3idThaXl3LxyiVURlT1KSIik9cbbUdyer2ZSMlPmVFMw+DkWTWsqaxiT18vA6kkTtNkdrhASU8RERGRKaS2qIDPvWstuzt7qO/qIZ5O43O7mF9aTF1x4XC3dxEREZnZlPyUGcnlcLCouCTfYYiIiIjIO+A0TRaVl7CoXO/rRERkKjLe2HJ5vZlHyU8REREREREZs6xt0TjUTX86DkDA6WF2oBiXqdtLERGZfPTqJCIiIiIiIkeUzKZ5pbeRjT172TfUTcrKgAFOw0GVr4A1xXWsKpxNwOnJd6giIlOC1vzMDSU/RUREREREZFSD6QQP7tvA5r5GXIaTUm8In8MN7E+Kdib6ebBxA9v6mvlI7UkUegJ5jlhERGQ/rQIuIiIiIiIih5W2Mvym6SVe7m2g2ldIbaB4OPEJ4HG4qPYXURso5vX+Fn7Z+AKxTDKPEYuIiLxJyU8RERERERE5rNf7W3mlt5FZviK8b0l6vp3bdDI7UML2gVY29+7LYYQiIlOTjZHzbSZS8lNEREREREQOybZtXureC4DPOTLxaWMTz6YYyiSIZ1PY2LhNJx7DyYaeetJWNg8Ri4iIjKQ1P0VEREREROSQupKD1A92UOwJDu9LWxk6kwO0xnsZyiSwbBvTMAg5fVT4CihwB2iJ9dIU66EuWJrH6EVEJjebHDc8yt2lJhUlP0VEREREROSQYpkkSStDkWN/8nMgHef1/mai6RgOw8TrcGNiYGHTlx6iOzVAxOXH7/Bq3U8REZkUlPwUERERERGRQzIMA+ONNeKGMkm2RvcxlElS4ApgGiPXjvOYTizbpjc1SA9D9Kfj+QhZRERkBK35KSIiIiIiIocUdvnwOVwMppPUD7YzmElQ4PYflPg8wDQMAi4vyWyabVE1PRIRkfxT8lNEREREREQOqcDtZ0mkmtZ4Lz2pQQJOz3Al6OHEM2nKvGFa4z10JwdyFKmIiMihKfkpIiIiIiIih7WisJaElWIok8RtukYdm7IyANQFSxnIxNnR35KLEEVEpiQbI+fbTKTkp4iIiIiIiBzWvFAZcwIlJK0MyWz6sONSVoaBdIIqX4RyXxgDg0E1PRIRkTxTwyMRERERERE5LNMwWVZQzY6BVhLZDEPZFD7Thct0YABp2yKeTWMANYEiFoYrcBgmh1kWVERE3mDb+7dcXm8mUvJTRERERERERlXoCVLuDVLkDtORHKA93k8smwLAYZhU+wqo8EcocvsxDRPLtrFsm5DLm+fIRURkplPyU0REREREREa1KFTFEy4fLofJ4kglc4MlpKwsNjZu04nXMXIt0Gh6iLDLz4JQZZ4iFhER2U/JTxERERERERlVmTfCwlAVL/XuIej04nG48DgO3fwoa1t0Jwc4uWQhxZ5QjiMVEZk6ct2ESA2PRERERERERA7BMAzOrlhGla+IvYOdZKzsIcelrSx7Bzuo8ZfwrrIlOY5SRETkYKr8FBERERERkSMq80b4m9pTeKjpBRqGOnGZTgrdARyGSca26EsNkrEt6oJlfHDWSar6FBE5EvuNLZfXm4FU+SkiIiIiIiJjUuUv4oq5Z/M3s09ldqCEWCZJX2qIeCbJ3GA5l9aeyifrzqLcV5DvUEVEZJx873vfo66uDq/Xy5o1a3jqqadGHZ9MJrnxxhuZPXs2Ho+HefPm8eMf/zhH0R5MlZ8iIiIiIiIyZgGnhzVFc1lVOIf+dIy0lcVlOoi49nd6nyls2yZjWzgNE8OYmevoicj09/Of/5xrr72W733ve5x22mn813/9F+effz7btm2jtrb2kI+59NJLaW9v50c/+hHz58+no6ODTCaT48jfpOSniIiIiIiIHDWHYVLoDuY7jJzKWha7+rvZ2NnEjr5OMraFy3SwpLCc40uqqQsXYSoRKiJjNBVmvd9+++1cffXVfPrTnwbgjjvu4OGHH+auu+7i1ltvPWj8n/70J5544gn27NlDUVERAHPmzHkHUb9zM+djOREREREREZFj1JUY4gevPcd/bnmap1rrSWQz2DbEMikea97Jd7c8zd2vv0h/KpHvUEVERtXf3z9iSyaThxyXSqXYuHEj55577oj95557Ls8888whH/Ob3/yGE044gW9+85tUV1ezcOFCbrjhBuLx+Lg/j7FS5aeIiIiIiIjIKHoSMda9voGd0S5mhwrwO90jjlf6wwymk7zQ0Ugsk+LK404k5PLkKVoRmTJsY/+Wy+sBNTU1I3b/27/9GzfddNNBw7u6ushms5SXl4/YX15eTltb2yEvsWfPHtavX4/X6+XBBx+kq6uLa665hp6enryt+6nkp4iIiIiIiMhh2LbNb/ZuY2e0iwWRYpym45Djgi4P88LFbOlp4+HG7Xxk3oocRyoiMjb79u0jHA4Pf+3xjP5hzdvXNbZt+7BrHVuWhWEY3HvvvUQiEWD/1PmPfOQj/Od//ic+n+8dRn/0NO1dREREREREJpxt22QsC9vO5Qp371xrbICtvW1U+kOHTXwe4HY4KfEGeamrmd5kLEcRiogcnXA4PGI7XPKzpKQEh8NxUJVnR0fHQdWgB1RWVlJdXT2c+ARYvHgxtm3T1NQ0fk/iKKjyU0RERERERCaEZds0DPSyqauFrT1tpKwMTtPB/HAxx5fOYkGkBKc5uWtyNne3MJBOUuUPH3kwUOz1s6Ovk83dbZxZNXeCoxORqWyyNzxyu92sWbOGRx99lA996EPD+x999FEuvvjiQz7mtNNO4xe/+AWDg4MEg/ub4u3YsQPTNJk1a9axhv6OTO5XGREREREREZmS+lMJ7tm+gf94dT2P7NvOQDqJZdvEM2nWt+3le1uf4Xtbn6E9NpDvUEfVNBTFYzoPO8Xz7UzDwDQMOuKDExyZiMjEu/766/nhD3/Ij3/8Y1577TWuu+46Ghsb+dznPgfAV77yFT75yU8Oj7/88sspLi7mU5/6FNu2bePJJ5/kH//xH7nqqqvyMuUdVPkpIiIiIiIi42wgneQn2zfyak8rswIFBIPuEcnDCn+IeCbNtt52fvT6i1x93ImU+0N5jPjw0paFOcbE5wGmYZC2shMUkYhMF7a9f8vl9Y7WRz/6Ubq7u/nGN75Ba2sry5Yt4w9/+AOzZ88GoLW1lcbGxuHxwWCQRx99lM9//vOccMIJFBcXc+mll3LzzTeP19M4akp+ioiIiIiIyLj6Y8N2Nve0Mi9cjMdx6NtOn9PFgkgJO6Nd/GL3Zv5u6Sk4JuEU+IjbSyqbOarHZGyL4Ns6wouITFXXXHMN11xzzSGPrVu37qB9xx13HI8++ugERzV2k++VRURERERERKas7kSMTV1NlPmCh018HuAwTGoCBeyKdlE/0JOjCI/OooJSbBhzJWc8k8ZlOJhfUDKxgYnINGDkYZt5lPwUERERERGRcfNqdyu9yThFHv+YxgdcbpJWlpe6mic4smOzpLCcykCYtjGuTdoaG2B2qJCFkdIJjkxERMZCyU8REREREREZN81DUZymeVTrZAZdbur7J2flp8/p4t3V80lZWboSQ6OObYsN4DAM3jNr/qTvYi8iMlNozU8REREREREZN0kri2kcXeLPYZikspO3QdCp5bMZSCX5Y+PrRJNxyvwhgs79TZxs22YgnaQ9PojX4eRDc5exqrgq3yGLyBQwFRoeTQdKfoqIiIiIiMi4CTjdZI6y03nKylLqmrwNggzD4LyahVT4QzzTtpdd0S5asv0YgA0EnC5WFVdxWsUclhSV5ztcERF5CyU/RUREREREZNzMjxTzRMtu0lYWl+k44njbthlKJ1k+yZOGhmGwqqSKFcWVNAz00jwUJW1lcTuc1AYLmBWIYBzFVH8REckNLUIiIiIiIiIi42ZJYTkV/jAd8cExje9Nxom4faycIlPFTcOgLlzE6ZV1nF09n9Mq5lATLFDiU0RkHLW2tvKRj3yE0tJSioqKuPDCC9mzZ88xnUvJTxERERERERk3PqeLd1XWEUun6UvGRx0by6ToiA9yQmkN5f5QjiIUEZHJ7qqrrmLZsmU88cQTPPbYY5SXl3P55Zcf07k07V1ERERERETG1RmVdfQk4/yleScD6SRlviAex5u3nxnLojMxSDSV4KTyGi6asziP0YqI5IuBTS6rxidvhfoXv/hFbrnlFgKBAAC7du3i17/+NT6fb/j4u971rmM6t5KfIiIiIiIiMq4cpsnFc5ZQ6gvwVOse9g32kbEtHIaJZVuAQZkvyFlz5vHu6vkjEqMiIjLzVFdXs2bNGr75zW9y0UUX8dGPfpS1a9fy/ve/n3Q6za9//Ws+/vGPH9O5DdueqY3u39Tf308kEiEajRIOh/MdjoiIiIiIyLSRzGZ4rbeDxoFeYpk0XqeTSn+YZUUVBCZxh3cReeeUbzm0A9+X2577Pd5gIGfXTQwO8U8nXzBpfx719fVcc801+Hw+/uM//oNNmzbx+OOPk81mOe200/jIRz5yTOsr6+M1ERERERERmTAeh5NVJVWsKqkik7Vo7OpjKJlib1sPBQEfVYXhnDcLytoWewe76EwMYNk2XoeLuaFSCtz+nMYhIiJvqqur449//CM//elPOeuss/jiF7/I//f//X/v+DVCyU8RERERERGZUIl0hpf2NLNxTxNN3VGSmSwG4Pe4mF9Rwpq51SyrqcA0JzYJmrUtNnU38EJ3PY2D3aTs7PCxiMvHisIaTimdR4UvMqFxiIjIoXV3d/OJT3yCCy64gOuvv55TTjmFH/zgB6xYseKYz6nkp4iIiIiIiEyYgXiSXz33Kq80tOJxOSmLBPG69t+KDiZSbN3XzmtNHZy5tI73rVqEwzQnJI6MleX3TZt5qmMnDsOgzBvC59w/7d6yLXpTMZ5oe53t/W18dPaJ1IVKJyQOERE52F//+lc+9rGP0dHRQVVVFb/4xS+4++67eeyxx7jsssv4wAc+wNe//vXhBkhHY2JeVURERERERGTGS2ezPPjCFjbtbaGmpIDakgJ8bheGYWAYBiGfh7nlRRQEvPzl1d08vmXPhMXyePvrPNGxnRJPgNnB4uHEJ4BpmBR7gswPl9OVGOAXDRvoTAxMWCwiIjLSNddcwz/+4z8Si8W48847ufbaawF497vfzaZNm3A6naxateqYzq3kp4iISJ6ls1m6B2O09w/SMxQja1n5DklERGRc7Gzt4tXGNmqKC4arPQ+lIOAj7POwfns9vYPxcY8jmorxTMduwi4vYffhq4ZMw2BOsJiWeC8buuvHPQ4Rkbey7dxvk1VLSwsXXHABXq+X973vfXR2dg4f83g83HLLLfz6178+pnNr2ruIiEie9A7FebW5jRf3NtE9FMOybBymQUU4xIl1s1haVU7I68l3mFOWbds5b6AhIiJvsm2bl+pbyFo2fo/riONLQgF2tXeztamd04+bM66xbO1roTc1xNwxTGU3DZOIy8+mnkbeVb6IgFOvxSIiE+2iiy7iIx/5CBdddBHr16/n/e9//0Fjli5dekznVvJTREQkx2zb5sW9Tfzh1e10D8Xwu90U+LyYhkHWsmjo6WNnZzfl4SAfXLWEpVXl+Q55SrBtm950Ky2x12lP7CZjp3GZXqq8C6nyLyLkLFEyVEQkh4aSKXa1dlEUHNv6bKZp4HE62LZv/JOf26OtuE0HDmNskx9LPEH2DnXRONTD4kjluMYiIvIm440tl9ebnH70ox/xX//1X7z++ut84hOf4Kqrrhq3cyv5KSIikmPP7mnkwU3bcJomC0pLDupsG/Z5yVoW+3qj3Pf8K1x20gqWV1fkKdqpIW0l2Rr9K/uGtpCyE3jNAKbhIJbpZWv/4+wafJF5wTUsCp+GaTjyHa6IyIyQSGfIWNaYqj4PcDudDCVT4x7LYCaJyxz77a/DNLGBZDY97rGIiMjB3G43n//85yfk3Ep+ioiI5FB9Vy+/3/w6HoeDikjosOMcpsnsogIae/p48KWtVIRDlIYCOYx06sjaGV7t+zP1Qy8RcpYQMctHVHjatk0sG+W1/vVYWCwJn6kKUBGRHHA5HG/Mahj7InNZy8LtHP8PqdwOJ1l77Gtq27YNNjhNfWAmIjLVqeGRiIhIDr3U2MxAIjlq4vMAwzCoLSqgc2CIzU2tOYhuamqN76AhtpmIsxyfI3RQYtMwDALOAgKOCLsHNtCd2penSEVEZpaQ10NlQYjeobE1MLJtm1gyzdzy4nGPZU6gmHg2tT+pOQZ96Rghl5dyb3jcYxERGWbnYZuBlPwUERHJkd6hOK/sa6Uo4B/zYwzDIOT18GJDM8l0ZgKjm5ps22ZfbAsAHsfo31e/M0LaTtAcez0XoYmIzHimaXDCvFmkM1ky2SNXXQ7EkwS8LpbXjv9SL8sLawg6vfSnE2Ma350YYklBFaXeI39YKSIik5uSnyIiIjnS2NNHXzxBkX/syU+A4oCfzoEhWqL9ExTZ1DWY6aE72UTQUTim8X5HmNb4DtLW2G5+RUTknVkyq5zakgLqO3qwRpn+nkxnaO0bYGlNOdVF419tWemLsLSgivZElJQ1+oeJ7fEofqebNcVzxj0OEZG3UuFnbij5KSIikiPJTBYDDmpwdCQuh4NMNktClZ8HSVsJMnYap+EZ03in4SFrp0lbyQmOTEREAAJeNx85ZTlVRWF2tXXRNxQfMfU8a1l09g+yt7OXZbXlXHTCkglZl9kwDD4waxWLI1XsHeimJzmE9bYp8MlshsahblJWlgtmrWB+qGzc4xARkdxTwyMREZEccZrGMX3aatk2pmHgdOgzy7czDBMDA5uxNbHYP87AMPS9FBHJlZriAv72Xcfzl1d38XpzBx39QwznN20oCvo5d+UCzl46D7/HPWFxhFxePl53Mg+3bGFzbxO7BzpwmiYmBmnLwjQMqv2FnF1xHCsLayYsDhGRYbkux5ykpZ+FhYVj/uCrp6fnqM+v5KeIiEiOFPh9eBwOYqkUfvfYb+4Gkkn8bjcFPt8ERjc1BZ2F+J0R4tl+XGbpEcfHs/0Uu2fhNQM5iE5ERA6oKAhx+emr6OgfYntLJ7FECsM0KAz4OK66lLDPm5M4gi4vH559AmeWL2JrtIXWWB9pK0vQ5WVhuJyF4XJcpm6TRURy6Y477hj+7+7ubm6++WbOO+88TjnlFACeffZZHn74Yb761a8e0/n1V11ERCRHZhcXMKekkPrOXuaUjD352TUYY23dLEpDSti9ncv0UuNbxtb+xwjZxaNWdGbtDFk7Q01guSo/RUTywDAMyiNByiPBfIdCiTfEmd5F+Q5jhIyVpS8dI21lcZtOCt1+zDG+XmWsLD2pftJ2BpfhpMgdxmk6JjhiEZHxccUVVwz/94c//GG+8Y1v8A//8A/D+77whS9w55138uc//5nrrrvuqM+v5KeIiEiOOEyTE+fMYkd7N4l0Bq/ryC/DA4kkDtNgdW1VDiKcmmYFFtMU30J3upliV/UhE5uWnaUn1USxu4YK7/w8RCkiInJoA+k4W6PNvNRdT3siioWNwzCZ5S/i+KI5LA5X43Me+kPT/vQQ2wca2dy3i+5klKxt4TBMSj0FLC+Yx6LQbEKuo2u0KCK5ZLyx5fJ6k9vDDz/MbbfddtD+8847j3/+538+pnOq7EFERCSHVsyqZEV1OXu7e0keoYHRUDJFS7SftXU1LCgryVGEU0/QWcSqwvMJOgrpTDUwmOnFsvevAWrZWQbSXXSlGih0V7O66P14HLoJFBGRyWHfUDc/3v0Ev2x8npZ4L2GXj2JPkKDTw57Bdn6291l+Uv8UnYn+gx7bHOvk/sZH+WPLM3QnoxS4g5R5C4i4gnQme/lDyzP8vPHPtMS78vDMRESOTXFxMQ8++OBB+x966CGKi4uP6Zyq/BQREckhr8vJR05YjmXbbG5uJ+h2URoK4na+OTUtkc7QMTBIKpPl5Lm1XLRysZodHUGJp5a1JR9m79DLNMdepzu1DwADg4CzkMXBM5kTWIXfGclzpCIiIvu1xvt4oOE52hNR5gbLcLx15oIDQi4faSvDzv42ftHwPJfXnUaBe/8HeB2JXn7T8hTdySi1gYoRj3Wb4Hd6yNoWTbEOftP8FB+uOZtST0GOn6GIHJEaHh3k61//OldffTWPP/748Jqfzz33HH/605/44Q9/eEznVPJTREQkxyI+Lx8/eTXz6/fx4t4mGnv7sG17+L2I0zSpLYxwYl0NJ86ZNSIxKocXdpWyouAc5gfXEk23kbUzOA03he4qVXuKiMikYts2j7dtozXRx7xg2WHX9nSZTuqCpewebOe5rp28r2oltm3zdNdmOhK9zAlUYh6mQ7LDMKnxl7F3qI3nurdwYdXpE/mURETGxZVXXsnixYv5j//4D379619j2zZLlizh6aefZu3atcd0TiU/RURE8sDvdnH2ormcOreW7e1ddA0Okc5mcTscVERCzC8rxuVQ0vNY+J1h/M5wvsMQERE5rPZElO0DrZR5wkdsauQ0HRS4A7zc28AppQtojbXzat8ufA43GTuD23Ad9rGmYVLsCbNzYB/dySjFHs2AEJHJb+3atdx7773jdj4lP0VERPLI43KyYlZFvsMQERGRHNo50MZgJkGFd2zJyIjLy9boPn64+3/pSXXQGOsm6PDQHHdR7CmkxF1I0BngUEWgYWeAvUNt1A+1KPkpMslo1vuh7d69m7vvvps9e/Zwxx13UFZWxp/+9CdqampYunTpUZ9PC4iJiIiIiIiI5NBgOrG/x/Nhpqy/VSKbZNdgA22JDtriXbhMN17TTfCNLu4t8Xa29e+iNdGBfYjMhmEYYEAsmxznZyEiMv6eeOIJli9fzvPPP8+vfvUrBgcHAdi8eTP/9m//dkznVOWniMg0Zts2e7p62NTUyr6ePlwOB0sqy1g5q5LigNZAFBEREcmH/VPdj5z4TFlpdg02EE3343V4KfYUYpPAMAxMw8Tr8OB1eIhnkzTEmjENgwpv6UHnMdjfBFBEJhmVfh7kn//5n7n55pu5/vrrCYVCw/vPPvtsvvOd7xzTOZX8FBGZpmzb5s/bd/Pn13YRT6cJuN1kLYvX2zt5tn4fHzthBXNLivIdpoiIiMiME3H7ARvLtkZd87M90UVfup+A6SdjpfA6nFjsX+PTtu3hylGfw0MsY9MUa6PAFcHrcA+fI2tbAISc+uBbRCa/V199lfvuu++g/aWlpXR3dx/TOTXtXURkmtrS2s7D23bidTlZUFZCVUGYmqICFpSV0DkwxAMbX2Uwmcp3mCIiIiIzzqJwJRGXn95U7LBjMlaGrmQPbsNFLJsl5PJQ6vFT7A7hMV0krJHv43wOD0krRW8qOmJ/X2qAiCvE/FD1hDwXEXknjDxsk1tBQQGtra0H7d+0aRPV1cf2d0zJTxGRaci2bV7c20wmm6UkGBhxzDQMZhcX0BLtZ2tre54iFBEREZn+LNumfqCHP+17nV/t2cz/7t3C8x0NuAwnKwpr6U4OkLayh3xsND1APJvAYbhIWVlqAxGcponX4abcGyGeTQ1XdcL+tT2dhoPOZM/w2p9pK0NfeoilkTkEVfkpIlPA5Zdfzj/90z/R1taGYRhYlsXTTz/NDTfcwCc/+cljOqemvYuITEOJTIaGnl4K/L5DHnea+z/7auqNsnZOTS5DExEREZkRGgZ6+UPjNnZGu4llU5iGgW3vr7sq9QVZXVLFvGA5e4Y6qPYV4Xe6Rzw+ZaVJZi2S2RSz/CFmB8LDx2r9ZQxkEvSmBgk5fThNBwBOw0nKSmFhkc6maYl3Mz9YzcnFy3L51EVEjtm///u/c+WVV1JdXY1t2yxZsoRsNsvll1/Ov/7rvx7TOZX8FBGZ0Sb/tAcRERGRqWZPfzf37NhAZ3yQykCYGmdkeH3OjGXRmRjkkX07OKG0miVhN7sG20jHs4RdPpyGSdrK0hyLkrKyLAgVs6ygDNcbCU4Aj8PFknAN2/ub6UkNYmHjMZ1krAwWFg1DbbhNJ4vDc3hf5ckEnIf+QFxEZLJxuVzce++9fOMb32DTpk1YlsXq1atZsGDBMZ9TyU8RkWnI63Qyp7iQV5paD9nVPWNZYENNYSQP0YmIiIhMX0PpFD/f/TLdiRgLIiXDSc8DnKZJpT9M0JlkY2cLfzNvBe8qP47NvY3sGmwja1n4nW5OLp1HY9xmQaAUl8Nx0HW8DjfLC2bTmxqiI9FHb3qQtJ3B5/ByfOEilkbmMjtQjsM4+LEiIpPdvHnzmDdv3ricS8lPEZFpyDAMTpw9i60t7XQNDo1Y99OybfZ291JVGGZJZVkeoxQRERGZfrb2trFvqI+5oeKDEp9vFXJ76EvFea6jkevLz2R+qBzbtsnYWZyGg5SV5t7GPqKZfkocRYc8h2mYFHtCFHtCZKwMjfFWzik/nROKlk/U0xOR8WS/seXyepNcNptl3bp1/OUvf6GjowPLskYcf+yxx476nEp+iohMU0sryzh/6UIeeW0XO9o7CXg8ZC2LeDpNZSTMpccvJ+hxH/lEIiIiIjNA2sqyq7+TTT372DfUS9ayCLk8rCyaxfLCago9R24YZNs2L3Q04jIcw2usj6bMF2TfUJQd0U6WFVVgGAYuY/9tusfhZkloPk90vUDEyuAyR79970v3U+iKsDBUN7YnLCIyCX3xi19k3bp1XHDBBSxbtmzUD5HGSslPEZFpyjAM3r1oHnUlRbzc1Mq+nihOh8nSyjJWVFdQdIjp8CIiIiIzUUssyq8aXqJ+oBvLtgi6PBgY9KVj7Bjo4M8tr3NWxQLOrFyIwzh8UjNjW7THBwi5PWO6rsfhxLItepPxQx5fXnAcDbFm9saaqfaW4TJdB42xbZvedJSUneHdpScSdgXH9qRFRCah+++/nwceeID3v//943ZOJT9FRKYxwzCYW1LE3JJDT5USERERmelaY1F+svs5WmJRagOFeB0jE4yWbdOZGOA3+14laWV5X/WSw1YiWba9v6P7URQqGYB9mLmoAaeP91WcySPtT7F3qAmn6aTAGcJlurCxGcrE6M8M4nf4OLN0LSsix439wiIik5Db7Wb+/Pnjes4j1+GLiIiIiIiITENZ2+LXDS/TEutjfqj0oMQngGkYlPvCFHn8/LVtO9uibYc9n9t0UODxMZRJjen6aSsLGIRch68UjbhDXFT1Xt5feTazfBUMZGN0JLvpSvViGCZri1bx4Vnv4/jCpeMyPVREJJ++9KUv8Z3vfAfbHr8FSlX5KSIiInmVymbZ1dfNQCqJZdv4XS7mRYoJurUmrYiITKw9A13UD3Yxy1+IeYTEYZEnQE8yxsauBpZEKg6ZaDQMg5PKavnZrpewbPuI5+xKDFHuC7KooHTUcR6Hm6WRBSwOz6Mn1UfSSmNiEHaFCDh9R36iIjI5qeERAJdccsmIrx977DH++Mc/snTpUlyukR9K/frXvz7q8yv5KSIiInnRn0qysa2Z51r30TwYJWtbYO+/SSz1BzipYhYnVsyiPKC1y0REZGK80tNE2srgd47tA7cSb4DXo+10JAYo94UPOWZ5UQV/9gVpGuqjNlh42HMlshmiqQRnV84f8/VNw6TEo+WMRGR6iUQiI77+0Ic+NK7nV/JTREREcq4jNsi9r73M691d+F0uZoUieBz735ZkLIuu+BC/3f0aG9qb+cDcRTgNB6lsloDLzbzCIrxOvYUREZF3rjUWxe8YW3MigLDLR2dikJ5k7LDJz0KPnw/OWcbPdm1i70AP1YEILtMxfNy2bfrTSVpj/awqruJdVXPf8fMQEZnK7r777gk9v+4cZNrLZi1a2qPEEymCAQ+VZRGthSMikkfRZIL/2foyO/q6mFdQhMvhGHHcaZpUBEIUeHw837SPpxsbqQyECThdmKZBVTDE6TVzOH1WLQ5Ty5eLiMixy9jW0Tcnsm0s2xp13PEls3AYJr9t2MbegV4MDLwOBxY2sUyaoNPDaeVz+FDd8jFXfYqIzAT19fVkMhkWLFgwYv/OnTtxuVzMmTPnqM856e8Ympub+cQnPkFxcTF+v59Vq1axcePG4eO2bXPTTTdRVVWFz+fjrLPOYuvWrXmMWCaTPQ2d3PPAs9x9/9P85BfP8eOfPc1Pf/U8Le19+Q5NRGTGeqppL9t7Ow+Z+Dwglc3yans7/ckU8XSaVDbDgqJiasMF9MTj/HzbZn6z83WscVwIXUREZp4Ct59kNjPm8YlsBrfDOaaE5criKr604kw+tehE1pTOojpQwNxQMR+oXcK1y8/gEwvWEByl0ZGIyEx05ZVX8swzzxy0//nnn+fKK688pnNO6srP3t5eTjvtNM4++2z++Mc/UlZWxu7duykoKBge881vfpPbb7+ddevWsXDhQm6++WbOOecctm/fTigUyl/wkneNzT386g+b6B9MUFESwuN2EUuk2L67jd5ojI998ERKi/U7IiKSS4OpFC+0NVHo9Y2YAvh2DX19tA0OUuj1Ytk2vck4fckEhV4fs8IRehNxHm+oZ0FRMctKy3P4DEREZDpZVljFyz37yFhZnKO8Lh3QmRhglr+AmsDY1t30OV2cUFrDCaU17zRUEZmObGN4zfucXW+S27RpE6eddtpB+08++WT+4R/+4ZjOOakrP2+77TZqamq4++67Oemkk5gzZw7vec97mDdvHrC/6vOOO+7gxhtv5JJLLmHZsmXcc889xGIx7rvvvjxHL/lk2zbPbtxDXzTGnOoifF43pmkQ9HuYM6uEto4om15tzHeYIiIzztbudjpjQ5T4Aocdk85maRkYwOtw4DRNXA4HGcuifWhgeEyh10fastjQ0oyt6k8RETlGSwoqKfOGaIv3H3FsMpshkU1zYukcnFp2RURkQhiGwcDAwEH7o9Eo2Wz2mM45qf9i/+Y3v+GEE07gb/7mbygrK2P16tX893//9/Dx+vp62traOPfcc4f3eTwezjzzzEOWyB6QTCbp7+8fscn0Eh2IU9/YRUlR8KD1PU3TIBLysXVHK+n0sf3DERGRY9ObiGPDqDeN/ckkQ6kUfpcL2L++mtM0GUinRowr9HrZ0dNNIjP26YoiIiJvFXC6Oad6MVnbon2UBGgym6F+sJulhVWsKlIVp4jIRDnjjDO49dZbRyQ6s9kst956K6effvoxnfOYpr3H43Fs28bv9wPQ0NDAgw8+yJIlS0YkIt+pPXv2cNddd3H99dfzL//yL7zwwgt84QtfwOPx8MlPfpK2tjYAystHTncrLy+noaHhsOe99dZb+frXvz5uccrkk8lYZLMWLuehp664XA4ymSyZbBaX68jTW0REZHxkbRsYvVLTsm1swHzLh1eGYWBZIx/nME1SmSxpy8I3AbGKiMjMcGLxbFLZDH9o2sqO/naK3AHCbh8mBkkrTWdikLSVZXlhFZfOWUNADYpERCbMbbfdxplnnsmiRYs444wzAHjqqafo7+/nscceO6ZzHlPl58UXX8xPfvITAPr6+li7di3f+ta3uPjii7nrrruOKZBDsSyL448/nltuuYXVq1fz2c9+ls985jMHXePtlX22bY/azfsrX/kK0Wh0eNu3b9+4xSyTQyjgIRT0MjCYOOTxgcEExUVBPG5XjiMTEZnZPIdpcDRijNOJ0zRJvfXTXsvC/bbHxtJpQh73cIWoiIjIsTAMg9PL5/OZhadzdsUibGyah3ppGOymJxmjLljMx+eexCfnnUyhx5/vcEVEprWlS5eyefNmLr30Ujo6OhgYGOCTn/wkr7/+OsuWLTumcx5T5edLL73Et7/9bQB++ctfUl5ezqZNm/jVr37F1772Nf7u7/7umIJ5u8rKSpYsWTJi3+LFi/nVr34FQEVFBQBtbW1UVlYOj+no6DioGvStPB4PHo+66k1nHo+LVUtn8fDj2wgnUvi8b346OziUIGvZrF5ag2lO/sV+RUSmk7pIEV6nk8FUkqD70K/FIbebYp+P9qEhPE4nlm1j2TYlvjdvOC3bZiCV5Ny6+Vp3TURExkVdqJi6UDHvrlxET3KIjG3hd7ip8IdxGHqtmWidiQG29jXRFOshnk3jNp1U+iIsLZhFla9g1AInkSnryJOixv96k1xjYyM1NTXccssthzxWW1t71Oc8puRnLBYb7qT+yCOPcMkll2CaJieffPKo082P1mmnncb27dtH7NuxYwezZ88GoK6ujoqKCh599FFWr14NQCqV4oknnuC2224btzhkalq7uo62jn5efb0Z0zDwuJ3Ek2lM02Tt6jqWL5mV7xBFZIINxJN09g0ST6XpisUJ+t24nQ5KggEqwgevCZxP3UMxNre1sbm1jYFUCpdpUlMQYXVVFQtKiqdNgq8uUsi8SDHbezsPm/w0DIPaggJ64nH6k0kMA/wuF2WBILC/CnRPXw+zQmGOr6jKZfgiInIMOmNDNPb3kcxmcTsc1IYiw3/TDyeWSbB3qJ14NolpmBS6g9T4y95xEtK2bdoSfbTFo2RsC4/pZHaghIj7zQ/YIm4fEbcWVMmVjkQ/j7e9xrZoC/3pOG7TicM0sWybV3obeapjBwvCFZxVfhy1geJ8hysiE6yuro7W1lbKyspG7O/u7qauru6Ymh4dU/Jz/vz5PPTQQ3zoQx/i4Ycf5rrrrgP2V1yGw+FjOeUhXXfddZx66qnccsstXHrppbzwwgv84Ac/4Ac/+AGw/+bo2muv5ZZbbmHBggUsWLCAW265Bb/fz+WXXz5uccjU5PG4+OD5q1i8sJJt21uIDiQoLgywdFEVC+rKcDimRyJBRA7W1jPApl1NvLBzH/U9vXQmYiSsLF6Pk4KAj+qiMEuryllbV8Oi8pK8JkFT2SwP79jJsw2N9CYS+F1O3I791Y77olGeb9zHnKJCLlm6lNmFBXmLc7yYhsFp1bPZ1ddNV/zwXd/LAgGWlJaypaOD3kScueEiookE8UyGeCZNbTjC5UtXUuLX9EMRmfps26apJ0pHdBDLhsKAl7qyIhxT/IOvxv4+nmpqYHNHG9FUAoP9RUdht4flpRWcPms2dZHCEY/pT8fY0LOdV/vq6Um92e3XZTio9pdwfOEClhfUYR5DEnTnQBsvdO1m50ArQ5kkBgY2UODys7ywlpNL5lHmjbyzJy1HZd9QDw80vEBTrIdSb4j53vIR78ts22Ygk+Dl3gb2DXXz4doTOC6iDz5FprPDLWU5ODiI1+s9pnMeU/Lza1/7GpdffjnXXXcd7373uznllFOA/VWgByowx8OJJ57Igw8+yFe+8hW+8Y1vUFdXxx133MHHP/7x4TFf/vKXicfjXHPNNfT29rJ27VoeeeSR4cpUmdncLifLj6tm+XHV+Q5FRHJk+74OHly/hebeKB2ZOP3ZJB63g5DDQzKVIdoXw87aDKVSbGvt4ILlizhj/py8JEDT2Sy/enUL6/c2UOj3sbCkeESTH4B4Os3u7h7WbXyJK9asZk5h4WHONnWsLqukPbaQ3+95nVQ2S7k/eNANvm3b+NwuysMBVnjLCbm9pLNZasIRTqysZmVZBZFjfPMjIjKZ1Hf08Nctu9nV1k08lQYD3A4HNSUFnLG4jhW1FZNqpsJYbelq52evbaY7NkSJP8CCwv2vcbZt05tMsL6pgde6O7hs8QpWlO5fzqwn2c9DTU9TP9RG2OWn1leKw9y/3nM8m6Q51kVjrJP2RC/vqTj+qKpAX+zew++bNxHLJin1hKnw7p9GbdkWPakhnmjfxs7+Vv5m9lpqAyUT8j2RkboSA/yi4QVa473MCx26qtcwDMIuHyGnl8ahbn7VuIFPzD2N2aoAFZl2rr/+emD/v/uvfvWrw03WYX+39+eff55Vq1Yd07kN27aPacZ/W1sbra2trFy5EvONG5YXXniBcDjMcccdd0zB5Et/fz+RSIRoNDqulasiIpJbTZ19/OTRjURjcbrsBG1DgxR4vCOmjGcti+hggoqiEGUlQVIZi8tPWsnqmtxXETxRX88vNm+hMhQkOMpa1LZts6u7h5pIhM+fegr+adCszbJtnmray58bdtEZH8LtcBJwuTAwSGQzDKZSFHg8nFRZwwfmHofX6TxiQ0MRkalmR2sXP3/6ZXqG4lREQgS9bgzDIJ5K0943iMM0uPCEJZy6aHa+Qz0q+wai/NfLL9CfTDIncui1Gm3bpqG/j4DLzWdXnkRFMMD9DY+xe6iVWl8ZTvPQDfL60zF6Uv2cV3ECp5QuHVM82/tbuK/+GUzDoMJXcMgxlm1RP9RJhbeAT809k0LPoWcmyPj57b5NPNb+2mETn29n2za7B9tZUVDDJ+eervcEU4TyLYd24Ptyy2MP4w3m7u9NYnCIf3n3eZPy53H22WcD8MQTT3DKKafgdr/Zu8XtdjNnzhxuuOEGFixYcNTnPqbKT9jfbGhwcJBHH32Ud73rXfh8Pk488UT9ARIRkbx57rVGugdihAu8dLb1EPF4Dlor02GahANeOvoGqSoOk7CzPLGjnuVVFThzuBxGMpPh2YZGfC7nqIlP2P/pZ11hIXt6e9na0c6Js6b+msWmYXBmTR2ryirZ0tXOi21NdMdj2ECZL8D75ixgZWkl5W9ZE07vMURkOokl0/zvC1vpjyWZX1484m+cz+1iTlkhbX0D/Onl7cwuLaC6aOpMx36uuZGO2BDHFR1+aRnDMJgdLmB7bzfPtDSwrDLMnqE2ZvlKD5v4BAi7/CSySV7s2c6qwvn4nKO/htq2zbOdO0lYaeYGyw47zjRM6gKl7B7o4JW+Bs4qX3LYsfLO9afjvNK3jyJ3YMwVvIZhUO6NsGugg5Z4H9X+qT8bRkTe9Ne//hWAT33qU3znO98Z1+TsMSU/u7u7ufTSS/nrX/+KYRjs3LmTuXPn8ulPf5qCggK+9a1vjVuAIiIiY9EVHWJbQxvFIT8Ng1Es28Z1mJsnp8PEtqGtd4B51cU09vSxq7Ob4ypKcxbv9s4umvsHqI2M7UXd6TBxmiYv7GtiTXX1QdPjp6qIx8tp1bM5rXo2WcvChmnT3ElEZDSvNbfT0jdAXWnhYROE5ZEgO9q6eLWhbcokP3sTcV5qb6XE5z/ih1aGYVDi8/NyexsDZisOw8BtHvkWtcgdZl+8kx0DTawsnDfq2KZYD7sHOyjzHPn11jRMgi4PL/Xs5eSSBXgdU3+mxWT1WrSFnuQgc0OHT0gfStDppS0eZUtfk5KfItPU3XffPe7nPKa7i+uuuw6Xy0VjY+OIOfgf/ehH+dOf/jRuwYmIiIxVc1eU/liSUMBDTzyOzzn6zZPX7aR3II7LdJLOWjT1RnMU6X6tAwNYloX7CHG+VaHPS3O0n6FUagIjyx+HaSrxKSIzxo6WLhww6qwDwzAIe7280tjKMa5WlnNNA1F6k3GKfGPrll7k9dGdGGJ7XycR1+gd4A9wmg4MoDnedcSxzfFeEtkUgSNUiB5Q6A7SnRygI5Hb9wUzTXdiEAPjqNZthf3/JjwOF63xvokJTEQmhRdffJEvf/nLXHbZZVxyySUjtmNxTHcYjzzyCLfddhuz3jbtbsGCBTQ0NBxTICIiIu9EOpvFMPavJWlhH7Ey0jSN/WMtC4z9j8+lY7me0zTJ2japHMcqIiLjbyiZwuk8/PTuA9xOk1Q6S8aychDVO5fKWhgw5qSWaRjY2GQsC6dx5O/Hm48zSVrpI45LWxkMjDEvneI0TLK2RdrSa+1ESljpY57F4jBMEtkj/+xFZGq6//77Oe2009i2bRsPPvgg6XSabdu28dhjjxGJHNssiGNKfg4NDY2o+Dygq6sLzxHWLRMREZkIbqcTGzAwMA2DrD36TWLW2p8gdThMbNvGcxQVmOPB7XBwtDU86ayF0zRwO8Z+cygiIpNTyOchlTlygi2ZzuJzu6ZMZbznjYTuWJO1WdvCNAzcDpPMUSQc/3/2/ju+srs+8P9fp95eJV11aaTRFE+zxx2DbXCjBjCEEsPCUnZDIMFJdkM22d0kJCwQ2ARSlhCSH7Ak38WQLFlaADs2tnHDHtvTe1Hv0tXt9ZzP7w+NhxmPRm00KjPv5+Ohx8O+Ovec95VG957zPu/P++0oB69uz7mdR7dQqHlXzlaVg6kZ81p+LxbPa1hznqtdiKNcfMbcv3sh1gS1Al+r3Kc//Wm+8IUv8IMf/ADbtvmLv/gLDh06xDvf+U7a2toWtc9FfYLedtttfOMb3zjz/5qm4boun//8589MZxJCCCGWU1siSjTgJZMvUucLUJzjgrJYrlAbDlCsVPFaJu010eUJ9LSWSARL1ylWqvN+TrJQYF0sRtCWE34hhFjrNjcn0GDWBKhSimyxxM6OxjUz9K0tFKXW52eikJ/X9hOFAglfkG3xJpKV7Lye81I1Z1tg7n6RrYE4AdNDplqcXzylLAlvmAbf2uixulYlvGE0TVtQwhum/yZKToVWf/wSRSaEWGknTpzgjW98IwAej4dcLoemafzWb/0WX/nKVxa1z0UlPz//+c/zt3/7t7z+9a+nXC7ziU98gm3btvH444/zp3/6p4sKRAghhLgY0aCP7Z2NTKbzNASC6Jp2weXh5aqDoeskYkGG0xk6a+J01CzvSfSG2hpaoxFGsvO70Cs7Dgq4oaVlzVwACyGEuLDNTXW01kbpHZ/Cdc8vxVFK0T+ZIh7ys72tcQUiXJywx8N1Dc1MFgu4c1RbukoxWchzbUMzNyU2oGlQdObuaz1eSpHwRukKNs+5bYM3yoZQA6PF1JzVn1XXIe+Uua6mA+siKj9d5dKfH+dgqpcDqR66syMLTvJd7q6KNFHrCTFRnt950EvSlQIhy8vWWMvcGwsh1qR4PE4mkwGgubmZ/fv3AzA1NUU+P78bay+3qHf0LVu2sHfvXv7mb/4GwzDI5XK87W1v42Mf+xiNjWvng1kIIcTl5ebN7RzrH2ckmaExEKQ/myZie7DOWiZeqTpk8yWaa8PkqxX8tsVrNnWi68ubULQMg1eua+eB3XtJFgrEZhkM4bgupyaTbKit4arE8k2kF0IIcel4LJO33bSNbz6xm2PD49SGAkQDXnRNI1MoMZrOEvR6ePP1W0hE5jcI6GzFaoUDE6McmhglUy7jNU02xmrZXtdA2L60rcpuaWpj79gwJ6YmWR+Nz9jb0VWKk1OTNAbD3NLURq3fx6ZQK/tT3bT56rAvMGl9spyhqhxurtmCZx7T2DVN45a6TZzKjtGfn6TFH5/xJmLVdTiVG6MjUMeO6OKWVTrK5WCqh93Jk/TkRim5FRRgaQaNvjjXxDrZEe3AK0u2CZgero238+PBvcTtIJY+d0sfV7mMFNPcUNNBwhNahiiFWA7a6a/lPN7qduutt/LQQw+xfft23vnOd3L//ffzyCOP8NBDD3HnnXcuap+aWitjAy+hdDpNJBIhlUoRDodXOhwhhBAXoXc0yT8/vpeesSlGyjnSTgld07F1nUpluuoiHPISCfuoCfh569VbuK597sqRS8FViu8fOsy/HT+B3zJJBILnTP1VSpEplRnKZGiLRnnftTtpCsvJvhBCXE6GkxmePNLNvt5h0oUiSkHAY7OxqZZbNrXT1VC74H3uGxvme8cPMZBNowCPYVBxXRzXpc4f4O51XdzavO6SriQ4OTXJ/3dwD/2ZFBGPl1q//8wwofFCnmSxSHMwzHu2XE1XrAaATCXP9wee5nC6D69hU2OHz/TezFQLTJbTWLrJ7YmreWXt1gXFf2Cqn+/272KylCPmCRCzA+hoVJTDRClLplKkM1jHL7fdRP0ilrxXXYcHh5/n2YmjANR4wgRMLwAlp8JEOU3RqbAl0sabm28iaF74pueVIlXO84+nnuJEZpSOYB3mLAlQV7mcyo5T7w3z7zpfKW0J1hDJt8zspZ/Lpx9+EG8wsGzHLWZz/P6d96zq38fk5CTFYpGmpiZc1+V//s//yRNPPEFXVxf//b//d2Kx2IL3uejk59TUFM8++yyjo6PTk3LP8r73vW8xu1wx8scohBCXl2S2wP5TQzx7uJdjE5OMFnLknDI+j0085KclHubatmaubWuiLR5d0Vgd1+Vnp7p5vLuH0WwWXdOwDAOlFMVKlYBtsbGuljdvuYr64MIrf4QQQqwNk9k8o6ksSkEs4KM+GlxUcnLf2DD/cHA3xWqFlmDknNUPjusynM9Scqq8tesq7mzvWsqXcJ7RfI5nh/p4bmiA8UIORykMTaPG5+f6+mZuamqlPnDuZ1vBKbF36iR7kicYKSanp65rEDC8rA81cnV0PV3B5kX9bAbykzw/2c2+ZC+pSh4XhakZ1HlCXBvv4Nr4OiL2+YN95+Pfhl/k0dF91HkihKyZE5slp0J/fowd0U7e3vrKWZN9V4qRYpp/7nmW45lRorafGjuIcdZwL1e5JMt5JkoZmv1xfrntetYFZRXMWiL5lpm99HP5zMMP4g0sY/Izl+P3Vnny81JYVPLz+9//Pu95z3vI5XKEQqFzPng0TWNycnJJg7zU5I9RCCEuT+VKlWS2QLnqkC6VsCwDU9epCfqJ+LwrHd45cuUyB0ZGOTw6Nh2rodMUDnN1YwOtkYj0+RRCCDGnfKXMnz33BGOFHOvCsQt+dozksrjK5f7rX0lz8NJf/2TLZfozKcqug6UbtITChOZYel9xqwwUxik4ZXQ0YnaQOk90ST4PU+U8I8UUVeXg0S2a/XG881hCfyHjpRT/vxM/wdAN4vbsKzQKTpmx4hS/0v5qNoWlbyVM/z6eGjvO7mQP46XpHqDG6SphpRQxO8COWCs313VR75Xr9bVG8i0zk+Tn8lpUz8//9J/+Ex/84Af59Kc/jd+/uDtjQgghxKVmWyb1sbWxTDxg29zY2sKNrXIhJIQQYnEOTIwymMvQEblw4hMg4Q9wJDnO7tGhZUl+Bm2bzTULq9azdJN1gYZLEk/E9i+6wnMmh1N9pKsFOucRr8+wcXHZl+pmY2hxFayXm4jt5/XNO7g1sZFD6SFGCikKThmvYVHjCXJVpImYvXzJISHEyjCM+VXDOxcYajubRSU/BwYG+PjHPy6JTyGEEEIIIYRYJfaPjUy3T5ljObWmaYRtDy8MD/D6jo0zDiQS83c404/PsOedyIxaQU5lh8k7pTN9QQUELS831HSsdBhCiBWilKK9vZ33v//97Ny5c0n3vajk52tf+1p27dpFZ2fnkgYjhBBCCCGEEGJx0uUSHmN+l3gew6TgVCk7Dl5zUZeF4rR8tYSlz/9naOkmpUqBklOR5KcQQpz285//nK9+9av8xV/8BR0dHXzwgx/kPe95z6IGHL3cvN+hv/e975357ze+8Y38zu/8DgcPHmT79u1Y1rn9Ud785jdfdGBCCCGEEEIIIebPa5pU3fktB6wqF0vXsc4aLiMWx9ZNck5x3ts7yp1Xha4QQlxJbrjhBm644Qa+8IUv8M///M987Wtf43d/93f5pV/6JT70oQ9x9913L3rf805+vvWtbz3vsT/+4z8+7zFN0xa1/l4IIYQQQgghxOJtjNXywsggrlJzLmVPlYq8qqX9nMnaYnHaA/X0j4/Pe/tUJUebv06qPoUQYgZer5f3vve9vPe97+XUqVN86EMf4nWvex1jY2PE4/FF7XPen3Su687rSxKfQgghhBBCCLH8ttfVE/P6GMvnZt0uUy5h6TrX1zcvU2SXt62RNjy6Ra46d/Vn1XWoulWuia1H1yTxLMQVT63A1xrQ39/Ppz71Ke6++26OHDnC7/zO71zUdHp5txVCCCGEEEKIy0CtL8BrWjvJVEqMF3Iodf5VbqZcYiCb5sbGVrqiNSsQ5eWnxV/LhlAzw8VJKm71gtu5yqUvP0azv5ZNIUk8CyHE2crlMt/61re455572LBhAy+88AJf/OIX6evr47Of/SzmRfSnXtQzP/7xj9PV1cXHP/7xcx7/67/+a44fP84Xv/jFRQckhBBCCCGEEGJx7mpfT8V1eKT3JEeSY0Q9PjyGSdV1SZYKmJrOq5rbefvGrbLkfYnoms4bmm6g4JQ5lhkgboeI2oEzlZ1KKTLVAuOlFPXeGG9uvhm/LHkXQohzNDY2EgqFeP/738+XvvQlEokEANls9pztFlMBqqmZbgfOobm5me9973tcd9115zz+wgsv8OY3v5n+/v4FB7KS0uk0kUiEVCp1UWW0QgghhBBCCLHSlFKcSiXZPTrE7rEhyo6DoWlsitdyfUMLG2O1mJL4XHLZaoHHR/dzINVDqpJDQ0OhUAqClpeuYBO3J7aT8EZXOlQhlo3kW2b20s/lM//2IN5AYNmOW8zl+L277lmVvw/9rM8lbYa+1UqpRc8ZWlTl58TEBJFI5LzHw+Ew4wto9CyEEEIIIYQQYmlpmkZnNE5nNM4vdW2mWK1iGwYeY/FLBsXcgqaPNzTdwCvrtnA0PUC6ksdRLkHLy/pgEwlPZMYLeiGEEPDTn/70ku17UZ9+XV1d/PjHP+bXf/3Xz3n8Rz/6EZ2dnUsSmBBCCHExUqUiA7k0FdfB0g2aA2EiHlliJoQQ4spi6QaWbaxoDK5yGSiMk67kcZWL17Bp9SfwGvaKxnUhSimy1RRFNw9o+I0AAXP+FVIRK8ANNRsvXYALpJRislggVy6jaRoRj4ewnBMJsTos9xCiVTzw6Pbbb79k+15U8vO3f/u3+fVf/3XGxsa44447AHj44Yf5sz/7M+n3KYQQYkX1ZaZ4bqSf58cGSBYLKBQaGjGvj+vqmrmhvpXW0PmrF4QQQgixtKquw8F0N3umTtCXG6XsVkDT0NGo8US4OtLJ9th6ItbyLfmcjaMchgo9nMwdZqjQS0WVAA1b99Di62BdYBMN3tY1M6XdcV0OT4yxa3CQg+OjlJzpYUwBy+aa+kaubWyiMxqTalQhxGVvUcnPD37wg5RKJf7H//gf/Mmf/AkA69at42/+5m943/vet6QBCiGEEPP1wugA/3R8H5PFAnGPj45wHFPXqbouk8U8P+k9xq7Rfn65azvXJmTKqhBCCHGplJwyPxl6jt1TxzE0nbgdxm96AKi4VSbLGR4c2cXhTC+/1HwL9d74isZbccs8P/kzjuf24yqXoBkhqE9XexbdAsez+zmVO8JV4Z1cHb0ZQ1vdLQRK1SrfOXKQp/t7qboudb4AMa8PUGTKZR7pPskzA328trOLuzq70CUBKoS4jC36HfvXfu3X+LVf+zXGxsbw+XwEg8GljEsIIYRYkIOTozxwdA9l12VTtPacKgZT10n4g9T5AvRmUzxwdA9e02JLPLGCEQshhBCXJ0e5PDTyPM8nj9LgjZ032dzSTeq9MWpVhN7cCN8deJJ3tr6GqL0y15Sucnk++TMOZ3YTtWvxGf5zvh/ULYJmmFw1w/7Uc2hoXBO9ZdVWTDquy3eOHOSxnlM0BcOEPZ5zvu81Ler8AcbyOb5/7Ai6rnNXx/oVilYIIS69RdXr33HHHUxNTQFQV1d3JvGZTqfPLIMXQgghlkvVdfnX7sPkqxXaghceJqBpGm3BCLlqmR/3HKHqusscqRBCCHH568uPsid5goQ3el7i82yGptMWqKc/N8aLyWPLGOG5hou9HM/uJ2rXnJf4PFvADBEwwxzO7GaiPLKMES7M4Ykxnu7vnTHxebY6f4CgbfNvp44zks0uY4RCCLG8FpX8fPTRRymXy+c9XiwW+dnPfnbRQQkhhBALcWxqnJ7MFE2B8JxVGJqm0RSI0J1Ocjw1sUwRCiGEEFeOA6luKqpC0PTNua2h6YRtP/tSJ8lXi8sQ3fm6c0dxlIPPmLv3aMAIUXIK9OaPL0NkC6eUYtfgIFXXnTXx+ZKEP0CyWGTv6PAyRCeEeDlNLf/XWnH8+HF+8pOfUCgUgOn3t8Va0LL3vXv3nvnvgwcPMjz8izdIx3H48Y9/THOz9FATQgixvA5OjlJ1HXymNa/t/aZF2XU4MDHC5ljdJY5OCHGpZMtl9o0PcyQ5Tr5SxmtadEXj7KhtIOqdO+kihFh6uWqRo+k+otb8l7DHrRB9hTG6c8Nsiay7dMHNIF/N0l84RdCc3zBETdPwmyG6c0fYHrkRS19dE+sniwUOjo9S55vfEClN0whZNs8N9nNnx3rp/SmEWHETExO8613v4pFHHkHTNI4dO0ZnZycf/vCHiUaj/Nmf/dmC97mg5Oc111yDpmlomjbj8nafz8df/dVfLTgIIYQQ4mIkSwUs3VjQcyzdYKpUuEQRCSEuJaUUTwz08GDvccbyOQxNw9INqq7Lz4f7+LH3GLc1r+Ou9i5MfW1MZRbiclFwSpTcyoImuBu6gVJQcM5fXXipFd0CVbeMbwHx2rqHklOg7JZWXfIzVy5TcqqnhxvNj9+yyFbKlKpVfNb8biQLIcSl8lu/9VuYpklvby9XXXXVmcff9a538Vu/9VuXPvl56tQplFJ0dnby7LPPUlf3i2oZ27ZJJBIYxsIuPoUQQoiLpWuw4EUQCqluEGINUkrxb70n+O6JQ3gMg/WR+DkJTke5jOVzfPfEIXLVCvd2bZG/dSGWkYbG9F/cwj6ZNQ1W4i91OtqFH1k765WuJtPtfzTUAn7+itOvZ/W9HCHEFejBBx/kJz/5CS0tLec8vmHDBnp6eha1zwUlP9vb2wFwZUCEEEKIVSThC1J2qiil5jV5VSlF2a1S51uZqbJCiMU7NjXBj04dJWR5SPjPr9QyNJ2GQAivafFo30nWhaNcVy9tmYRYLgHTi9/0knOKsw47OlvZraKhEbQuPGzoUvEZATyGl6KTx9bn7pEJUHDyBIwQHmN+r285RTxeApZFplSedzugTLlEaziCx1hQekAIIS6JXC6H33/+58H4+DieefQynslFrQM6ePAgP/7xj/ne9753zpcQQgixnLbXNBAwbTKV+S2Xy1RKBCybHbUNlzgyIcRSe35kkHy1PGPi82xRjxdXKX4+1H9RDfKFEAvjNWy2RdaRrhTm/bc3WUpT742xLrD8n8tew0e7fyO5anpe8SqlKDl5OgObMbTVlywMezzsbGhkspif1/aO61KsVrmpuXVeN5CFEEtMrcDXKnfbbbfxjW9848z/a5qG67p8/vOf5zWvec2i9rmod+uTJ09y7733sm/fPjRNO/Mh8dKbpeM4iwpGCCGEWIy2UJSNsTp2jw8StGpnXeLqKsVQLsM1dU20Buc33EAIsTpMFQvsGRuixju/6rB6f5BjU+P0ZVO0haKXNjghxBmbw+08N3mEZDlD3BOedduyUyHvlLg9eg22vjLJxHWBjRzP7idTnSJsxWbddqoyTsAM0xboWqboFu7ahiae6e9jLJ+jbo4bRf2ZNPWBINvr6pcpOiGEmN3nP/95Xv3qV7Nr1y7K5TKf+MQnOHDgAJOTkzz55JOL2ueiKj/vv/9+Ojo6GBkZwe/3c+DAAR5//HGuv/56Hn300UUFIoQQQiyWpmm8qWMzjf4QJ1ITVC/QnqXqupxITdAUDPFLHVdJhYMQa0yqXCRfrRC05rfkKWjZFKoVUqXSJY5MCHG2Bm+cW2q3ka0WSZYzF6yoLDpl+gpjbA63cXVs/TJH+Qs1dj3bIzdScvKkKpMzxquUIlkew1UOO2O3zJkkXUkd0RivXb+BdKnEcDY74+txXJee1BSmrvPWTVuIeFffEn4hxJVpy5Yt7N27lxtvvJG7776bXC7H2972Nl588UXWr1/cZ8Wibq09/fTTPPLII9TV1aHrOrqu86pXvYrPfOYzfPzjH+fFF19cVDBCCCHEYrUEI/z7q67jm0f3cCI1gW0Y1Hj9mJpOVblMFPOUHYd14Ri/svFqmoOzV6IIIYQQYnE0TeMVtVtBKZ4c38+p8jARK0DQ9KEBJbfCZDkDwLZIB69vvAmfsbg+bksV71Xha9HQ2J/exXCxF6/hx9anE4Ilt0DJKRA0I1wTv431ga0rFut8aJrGnR3r0TWNh04d5/DkOCHLPjPJPVMuUao6JAIB3rppCzsbGlc4YiGEOFdDQwOf/OQnl2x/i0p+Oo5DMDg9JKK2tpbBwUE2bdpEe3s7R44cWbLghBBCiIVoD8f42I5XsG9imJ8P9zKYy+C4Loau0xGOcVNDG9trGgjZK3eBJYRYvKjHh9+0yFZKeM25T2MzlemBH1GPVDQJsdwMTeeVddtZF2zkYKqbg+luxkspFApbt9gUbmNHpJP1oeYVW+5+Nl3T2RK5jmZ/B725E5zKHaLkFgEIm1E6o7fQ6l9P0FwbN0/10wnQ7Yl69o6O8OxAP7nTvdFbwxFuam5lR6KesLw/CiFWma997WsEg0He8Y53nPP4P/3TP5HP53n/+9+/4H0u6lNm27Zt7N27l87OTm666SY+97nPYds2X/nKV+js7FzMLoUQQoglEbI93NLYzk31rSRLBcqug60bxDw+DP2i5vwJIVZYxOPlmrpGftp/klrf7H3sAEbzWbbV1tMild5CrAhN02jx19Hir+OWum1kKwVcXLy6TcwOrcr2MxErzvZonK2R6yi7JTQ0LN1G19bmOUQiEOSujiB3rOukVK2iaxq2YazKn70QVySlTX8t5/FWuc9+9rN8+ctfPu/xRCLBf/yP/3H5kp//7b/9N3K5HACf+tSneNOb3sStt95KTU0NDzzwwGJ2KYQQQiwpQ9fnlRwRQqwt19U38+xwP6P5LAl/8ILbTZUK6JrGTY0ywViI1SBo+giavkt+HFe5DBeHyFTSuLj4DD9NvmZs3V7QfnRNx2tcuniVUiQLRYrVCpZuEPdf2pu0uqadWfYuhBCrWU9PDx0dHec93t7eTm9v76L2uajk52tf+9oz/93Z2cnBgweZnJwkFovJyaUQQgghhLhkuqJx3tCxke+eOEQ5k6IhEMTUjTPfd1yXsUKOdLnE3e1dXFMnveyEuBK4yuVE9hiH0gcZKQ7jUAU1XX0as+JsDG1mS2TbgpOgS81xXQ6OjrKrf4Cj4+NUHBdd02gOh7mxrYVrGhslSSmEuKIlEgn27t3LunXrznl8z5491NTULGqfC0p+fvCDH5zXdl/96lcXFYwQQgghhBCz0TSNO9vW4zUtHuo5zslUEk0DSzeoui5V16XW5+etXVu4q2164IcQ4vLmKpfnk8/xYvJ5NDSiVgzP6QFKVbdKqjrF0xNPMFoa4fa6O858b7lVHIfvHTzMz7q7cVxFTcBHxGtSdV1OJZMcm5hgz+AQv3LN1ZfV9PVcuUx/KkWxWkUBXtOkMRS6rF6jEGLpvPvd7+bjH/84oVCI2267DYDHHnuM+++/n3e/+92L2ueCkp9f//rXaW9vZ+fOnSilFnVAIYQQQgghLoamabyquZ2diUb2j49wNDlO9vRwo65onO21DURkiIcQV4xj2aO8mNxFwAgRskLnfM/UTWrsWspumRPZY/gMH7fWvXpF4nzo2HF+euIkiVDgvMRfyOOhVK2ye2gYXdf5wHXXYhnGBfa0+imlGExn2D08xHP9A0zk8jjKRUND0yDm87GzqYmdjY20x6Jyo0pcsTQ1/bWcx1vtPvWpT9HT08Odd96JeXrApeu6vO997+PTn/70ova5oOTnRz7yER544AFOnjzJBz/4Qd773vcSj8cXdWAhhBBCCCEuRsCyuamxlZsaW1c6FCHECqm6VQ6m9qFjnJf4PJut20SsKCezx9kW2UHMnt917EQxR292iqJzujenx8+6UHzBybrJfIEne3qJ+LwXrHj0mCbrYlEODI9wdHyCrfWJBR1jtShVq3z/0GF+3t9PplQm6vXQHo1g6jqaplF1XSYLBR46fpwnurvZ0dDA27dtJeRZmYpcIcTqYts23/rWt/iTP/kT9uzZg8/nY/v27bS3ty96nwtKfn7pS1/iC1/4At/5znf46le/yu/93u/xxje+kQ996EPcc8890u9TCCGEEEIIsSiuq+idmOLY0DiZQglT16kNB9jaWk/EL5W8YmbDxUHGSmPE7bn7wAWMIAOVPrpzp+ZMfp5MT/DcWB97JgaZKhd46UrXY5h0hGq4KdHGNTXN2POsztw/MkKyUGBD7exx+iwLRymeHxhYk8nPYqXCN/fs49mBfuoDAZpDofPyBKaukwgESAQCZEolnunrI1Mu876d18hSeCHEGRs3bmTjxo1Lsq8FDzzyeDz8yq/8Cr/yK79CT08PX//61/noRz9KpVLh4MGDBIMXnrophBBCCCGEEC/XPZbkoT1HOTkySb5cwdR1XKVQQGyvj2s7mrhz+wb8HhkEI86VqqRwlTOvQUaapmFpFpPliQtuo5TiqZFuvtdzgEylRK3Hz4Zw7ZlKz1ylzIn0OEemRjmcGOHtHVcTsOY+9mA6jaFr86oYDXs9nJpMopRaUwVGjuvy/w4d4tn+ftqiEfzzGNwU8nhYH49zcGSEb+/bz/t2XoPHXNRcZiHEZcJxHL7+9a/z8MMPMzo6iuu653z/kUceWfA+L+pdRdM0NE1DKXVeMEIIIYQQQggxl2ND4zzw5B4mc3kao2Favb9IJDmuSzJb4N/2HWc8k+Ndt1wjCVBxDpeFXodqOMq54HefH+/nO6f2Yek6G8O15yUfA5ZNhxUnVynz1EgPoPHu9TvnrAB9aar7fOiahqsUrlIYayj5eWxigmd6+2gOh+aV+HyJbRi0R6PsHhxiR0M9N7VKKxMhrmT3338/X//613njG9/Itm3bluQm0IKTn6VS6cyy9yeeeII3velN/PVf/zWve93r0HX9ogMSQgghhBBCXBmmcgX+78/3ky4U6aqvOe8Cxzi99D3k87C7e4howMe9N25boWjFauTVfQA4ysHQ5l6CXlVVAsbMqxUzlRI/7D0IQKM/POt+ApZNWyDKc2O9bInVc33d7Am7uN9HperOq5ozX67QHo1irLHr6xcGBqk47qJ6d/osC8vQebZvgBtaWmQAkrhyqNNfy3m8Ve6BBx7g29/+Nm94wxuWbJ8Lejf96Ec/SmNjI3/6p3/Km970Jvr7+/mnf/on3vCGN0jiUwghhBBCCLEg+3qHGU6maa+NzZoQ8lgmdeEAu7uHGM/kljFCsdo1+1oIWWEylfSc25acEqZm0B5YN+P3D0wOM1LI0jRH4vMlActGQ2PXWB9KzZ5R2FqfwGdb5MqVWbdzXJditcr1Lc3zimG1GM1m2Ts8TK3fv+h9JAIBTiYnOTk5uYSRCSHWGtu26erqWtJ9Lqjy88tf/jJtbW10dHTw2GOP8dhjj8243Xe+850lCU4IIYQQQghxeao4Ds+d6MfvsdH1uau8ogEfx4bGOdg3wm1bOpchQrHaFZ0KR9MTpEte+ouHiZgFYnaAWm/wvCpQpRQT5TGafM00+prO25dSimdHe7F1A3MBhT0JX5BjqXH6clO0BWMX3K4tGmVTXS0vDgzRVRuf8RhKKXqSKZrCIbY31M87htXg2MQk6VKJjTWLnwESsG36UmmOjU/QVTP3ACshxOXpP/2n/8Rf/MVf8Nd//ddL1vd4QcnP973vfWuq4bIQQgghhBBidUrnS0xm8/Oe5K5rGrZpMJCcu8JPXN5c5fLU6EmeGDnOSDGNo8o4mskE3eian6ARoD1YQ0sghoZG2S0zXholYkW5ueaVMy6PL7sOY8UsYesXS7arymW8kGMkn6XgVDE1jbjXT70/RMCc7mkZNG0G82mSpcKsyU9d03jb1i1kSiWOj09SF/QT8/nQT8/QyJbLDKWzxP0+fnnbNsJrbOp5oTJd0Xqx+QJD18iUSksRkhBijXriiSf46U9/yo9+9CO2bt2K9bIewospuFxQ8vPrX//6gg8ghBBCCCGEEC/nuNP9D+dT9fkSXdOoVC88rEZc/lzl8sP+fTwydASvYdEWiGPpBlVVR7JynJwzTs6dYH8qyUQ5Sp3Xh6GZNPgauaXmVhLemSsqHeXiKnWmInOqXOTAxAhT5QKo6f6zSimG8hlOpibpCMfpCMfQNQ2N6UTpXGoDAf79ddfy0LHj7B0a5vj4BKChUAQsi6ubGriraz2d8fgS/sSWh+O6wMUXSumaRsWRv3EhrmTRaJR77713Sfd5UdPehRBCCCGEEGIxvLaJZRiUKlUCHnvuJwBlxyHkW/gwFXH52DXew0+HjlLjCRC1f9Ff0tQ81FpbCJsZ8s4YqcoUo4USHYFmbq+/niZvM6Z+4ctfj25iGwbFapV0ucTusUFylTIRjxdD+8USdQXkK2WOTI2hUKwLTVd7eo35XVrX+P28++od3N3VxdGJcYqVKpZh0BqJ0BaNrNmVlrZpLEHqExyl8M/z/UCIy4IMPDrP1772tSXfpyQ/hRBCCCGEEMsu7POyqbmO5473Ew/OPSSlVKliaDobG+uWITqxGlVdh6fHTmLq+jmJz5domoZHC+PRw8Qs6M5OMFWM0+xrPSeBORND19kaa+CRgWMM57NkKiVqvIHzEnoa04OOqJQ5lZ7E0DVqvcFZl7zPpCbg5xWBtgU9ZzWr8fvRNY1StYrHXFya4aVq8EQgsMTRCSHWmmq1yqOPPsqJEye47777CIVCDA4OEg6HCQYX3ltYRrQLIYQQQqwwVzlzTgoW4nK0c10Thq6RLc7d428omaE5HmZjY+0yRCZWo+OZMXpzkyS8oXltn/CG6MlOcDIzNq/td9Y2o4CBXIqg5Zm1kjFg2RSqFXqzU1xX20LIurIrkjfV1tIcDjOayy16HxOFAjV+P1sTiSWMTIjVT1vGr7Wgp6eH7du385a3vIWPfexjjI1Nv4d/7nOf4z//5/+8qH1K5acQQgghxAooVJOMl44wXNhL2cmgaQYxex31vu1E7XZ0TU7TxOWvq6GW69e38PSRHprjEQLe85e7KqUYTKaxTYN7rt6AZZ4/rEZcGUYKaaqui9ew5t4Y8Js2FddhuJBmQ3ju6ekdoRpqPUFerAwSsWcfOKSUoqIcqq7L9XUtc+677JYZKJyiJ3ecTHUKHYOEt4l2fxe1ngb0OSpTVzuPaXJTawvf3rcfVyn0BS7fV0oxWShwd1cXUZ/vEkUphFgL7r//fq6//nr27NlDTU3NmcfvvfdePvzhDy9qn3JWLYQQQgixzEYK+ziefpB8dQJT92NqHpSqMpDbxVB+NwnfVjZG3oitz70UWIi1zDR03nz9FlCw62Q/bkpRGwrgtUxcpUjni0wVisT8Pt58/Ra2tjasdMhiBVVcZ8GlSxoaVXfuYUQwPWznlfUdPDPSy1S5QND0YOvGeX04HeWSqZQwNYP1oTqaApFZ9ztWGuaZiUeYKI2gaTq2ZqNQjJQGOJLey7rARm6I34bHWFsT3l9uR2MDj3d30zM1xbpodEH9S4cyGaJeL9c1N13CCIUQa8ETTzzBk08+iW2fe0O0vb2dgYGBRe1Tkp9CCCGEEMtorHiIw1Pfx8UlZneinVXtEzDrqLh5hvIvonDZErkXQ5fBD+Ly5rMt3nbzNra01vPiqQGOD00wlSugaxohn4fXb9zE1esaaYyFVzpUscK8hoVSCqXUvBJrSikUCs88hxEB1PmDtAfilFSFiVKObLWErZsYmoYCym4VBYQsLwmvh43h2XvQTpbH+NnYj0lXktTaDecNXSo4OY5m9uLicEvN3bMOZVrtavx+3rF9G9944UV6plK0z2OAk1KK4WyWsuvyzq1baI9GlydYIcSq5boujuOc93h/fz+h0Pzanrzc2n1nFUIIIYRYYxy3zKnMoziqQsRunXEbS/cTsloYLewn4d1CvW/78gYpxAqwDIPtbQ1sa61nIpunUKqg6xqxgE8mP4szOoI1BEwPmUqRsD330uh0pUjA9NARnH+f2A2RWhr8YSpOlc5QLSOFNKPFLI5y0dGo94Zo9EeIWn56skmurmu84L6UUuybeo6p8gSN3tYZE4E+I4DuMTiZPUKrv5OOwKZ5x7oabUkkuO/qq/mn/fs5MjFBwh8g5vOe99qVUqRLJUZyOQKWxS9v28rNrTN/Lgohrix33303X/ziF/nKV74CTA+zy2az/OEf/iFveMMbFrVPSX4KIYQQQiyTyfJJMpUhQubsy/os3Qvo00vgvdsWtHRQiLVM0zRqQwFYXGGHuMw1+aNsDNezZ7KPkHV+Qu1sSilGihmur22nwTf/quGw7eGGRAs/7DlMp9fPpkg9G8MJXBQ6GpqmoZTiVGaSJn+Y7fELt2KYqkwwUOghYsVnjdWjT7+WE5lDrPNvXPPv+TsaG4j4vDzZ3cPe4WGOjI/jsyxsY7pfb9V1yZUrBD021zY18ar2NjbVzV5BK8RlS53+Ws7jrXJ//ud/zh133MGWLVsoFovcd999HDt2jNraWr75zW8uap+S/BRCCCFOK1eqHBsaZ++pIYaTGQAa42Gu7mikq7FWhmyIi5Yq96Fw5rWU3WfESFcGKLkpvEb00gcnhBCrnKZp3NawgVPZcfrySVr9sRkThUopenOTxD1+bqvvWnAy8a7WLgZyKXaPD1Hr9RP3+jFOtyjJVkoM5TJEPF7e3rWNkH3hKe9jpSGKboGYVXPBbV4SMsKMlYfJORmC5tpv8dAejdJ+TZS7suvZNzLCwZFRsuUySin8ts2G2hquaWikKRxa88leIcTSam5uZvfu3TzwwAM8//zzuK7Lhz70Id7znvfgW+RANEl+CiGEEMBIMsP/fWofp0YmQYH/9MThwYk0LxwfYH1jDW+7ZRt1keAKRyrWsqoqAfNLouuaies6OG5lvk8RQojL3vpQHb+87lq+0/MixzKj1HgCxOwAuqbhKsVkKcdkOUeNJ8Db269l3QKWvL8kYNm8f/N1JHqP8PzoACdSE6CBUuA1TK6KJ3hd20Y2RGfft6OqaDCv5J6hmbhunqpbWXC8q1kiGOTOYJA7169f6VCEEGtApVJh06ZN/OAHP+ADH/gAH/jAB5Zkv5L8FEIIccWbSOf45uO76RuborUuisc69+OxVKlypH+UBx7fzXtfcx2x4OLuOAphaV6UOr+B+0wcVUHXDBl4JIQQL7Mj1kLU9vPs2Cn2Jgc4kR2bXsqpQdTy8eqGjdxY20FLILboYwQsm19ev507m7s4PDVGvlrG1HRaghE6wnH0eSQ0TW36/Xs+A5qqqoKhmVjyni+EWIW+9KUv8fnPf56hoSG2bt3KF7/4RW699dY5n/fkk09y++23s23bNnbv3j3n9pZlUSqVlrwiXJKfQgghrng/O3CKnpEk65tqMHT9vO97LJOOhhpODk/w1KFu3njDVSsQpbgcRD3rMLImVbeIqXtn3bboJEn4tuLR1/7yxyuFUgpHORiaIcs4hbjE2gJx2gJx7mjczEB+irJbxdZNWvxRYp7Akh0n5vXxioa2RT233tuMzwjMayl7tpqmPbABvyErTIQQq8u3vvUtfvM3f5MvfelLvPKVr+Rv//Zvef3rX8/Bgwdpa7vw+2MqleJ973sfd955JyMjI/M+3m/8xm/wp3/6p/z93/89prk0aUtJfgohhLiiJbMF9nYPURP2z5j4fIlp6MSCPvacHOTWrR2E/bMnroSYScxeR9huIVXuI2K1XzBBVnZzgEaDb4ck0VY5pRTDxVGOZ0/Rneul7FYwNJ16b4KNofW0+ZuxdGulwxTishX3BIgvYbJzKYWtKK3+Tg6n9+A3gujazOcZBSePpml0BjfLe74QV5o1MPDoz//8z/nQhz7Ehz/8YQC++MUv8pOf/IS/+Zu/4TOf+cwFn/erv/qr3HfffRiGwf/7f/9v3sf7+c9/zsMPP8yDDz7I9u3bCQTOfY//zne+s+DXIMlPIYQQV7Tu0UlS+SKd9XMPI4iH/HSPJOkZnWL7ugtPdxXiQnTNZH3oLvYn/4l0tY+Q2YSu/eJ0TClFyU1TqI7THLiRGs+GFYxWzCVbzfH42FOcyvVScsoEDB+GblJxKxzJHOdo5jgJbx231b2CZl/jSocrhFgB2yM3MFkeZbg0QI1dh+esqn+lFFknTbaaZnPoGpp961YuUCHEFSWdTp/z/x6PB4/n/AFu5XKZ559/nv/yX/7LOY/fc889PPXUUxfc/9e+9jVOnDjBP/7jP/KpT31qQbFFo1He/va3L+g5c5HkpxBCiCtaueKgoaHr8xhGoOuAolytXvrAxGUr5ulgS+xtHEv9iFSlFx0DQ/OgcKmoPLYWoDV4C+tDd52TGBWrS7aa48dDD9OT76fOriFhe8+p2IoRpeJWGCmO8aOhh7mn4dW0+VtWMGIhxEoIW1FurX09z04+ynCxn6qqYGk2CkXFrRAwg2yP3MA10ZsxNJluJ4RYHq2tref8/x/+4R/yR3/0R+dtNz4+juM41NfXn/N4fX09w8PDM+772LFj/Jf/8l/42c9+tqhl61/72tcW/Jy5yBm1EEKIK5ptGiilcJWac3iB605PU7BNuTgRF6fG00W49sNMlI4xWjhIyUmhaxYxu5063xaCZoMsfVzFlFI8PvYUPfl+mr0NmPrMp9SWbtHsbWCoNMpPR5/gbc1vImRJPz8hrjRRO85d9W9lpDhAX+EE2UoaQzOI2wnaAl1ErMUPZhJCiMXo6+sjHP5FL+KZqj7P9vLz0gsNcnMch/vuu49PfvKTbNy4cdHxVatVHn30UU6cOMF9991HKBRicHCQcDhMMLjwcylJfgohhLiitdZFCfs9pLIFYiH/rNsms3kifg+tddHlCU5c1izdR4NvBw2+HSsdilig0dIY3bk+au34BROfL9E0jQZPHf2FIU7kurkmum2ZohRCrCa6ptPoa6XR1zr3xkIIcYmFw+Fzkp8XUltbi2EY51V5jo6OnlcNCpDJZNi1axcvvvgiv/7rvw6A67oopTBNkwcffJA77rhj1mP29PTwute9jt7eXkqlEnfffTehUIjPfe5zFItFvvzlLy/glU678GQHIYQQ4gpQGw6wta2BsXTudGXnzBzXZSKTZ0dHI9GAbxkjFEKsNsezpyg6JfzG/N4LdE3Hq3s4lDpK1ZW2GUIIIYSYpqnl/1oI27a57rrreOihh855/KGHHuKWW245b/twOMy+ffvYvXv3ma+PfOQjbNq0id27d3PTTTfNecz777+f66+/nmQyic/3i3Ote++9l4cffnhhL+A0qfwU4jJVcasMFkYouiVMzSDhqVnWpXaucklX0lRVFa/hJWjKMj+xet26tYNTI5OcGpmkPRHDNM69N1hxHHpGk7TURLjlqnUrE6QQYtU4le3Fb/gW1JogbIWYLCdJlqeo89ZewujEWuC4Lt2jSbrHklQcB49p0pGI01YbnVcPaiFeLlWZ4lT2BP2FXiqqjFf30ubvoD3QQdAMrXR4Qog17Ld/+7f5d//u33H99dfzile8gq985Sv09vbykY98BIDf+73fY2BggG984xvous62beeuckkkEni93vMev5AnnniCJ598Etu2z3m8vb2dgYGBRb0GSX4KcZmpug77UofZnzrCeGkSR7kAhMwAG0Id7IxtJWZHLuHxqxzPHudw5jDjpXFc5WLpFm3+NjaFNtHsa5Y+dmLVqY+FePdt1/B/n9xH98gklqET8E33vckWSjiuor0uxttfuZ26iCTyhbiSucqlrCqYCxxMYmoGjnIoq8olikysFSdHJvjJ7mN0j05SqjpogAJ8tklnfQ2v27mR1proCkcp1gpHObyY3MXB9D7yThZb92BoBpPuBD35bl6c2sXO6PVcFd6GrsnCTyHEwr3rXe9iYmKCP/7jP2ZoaIht27bxr//6r7S3twMwNDREb2/vkh3PdV0cxznv8f7+fkKhxd3M0ZRSCyx6vfyk02kikQipVGpePQ+EWK2qrsNPR59k79RhPLpNzI5g6dbpKswsU9U0jd4Er298NbWe+JIfv+JWeGzsMY5kjmBoBhErgo5O2S2TrqaxdZub4zezLbJNEqBiVcqXyhzqG+WF4/2MpXLAdGL02vXNbG5J4PNYKxyhEGKlKaX4h55vU3SKxO35Dykpu2Umy1O8o/XN1HsTlzBCsZodHRznW0/uJpkr0hQL4fdMV7UopciVKgxNpakLB3nvrTtpk/7SYg6ucnlu8ml2Tz1P0AwRMsPnnGO7yiVVSVJ2S9wYfyXbI9fIObhYdpJvmdlLP5fPfe8hfIHAsh23kMvxiTffvap/H+9617uIRCJ85StfIRQKsXfvXurq6njLW95CW1vboqbBS+WnEJeRvalD7Jk6RK0dx2/+ojeGrulE7TBhK0h/YYiHR57k7S1vwNSXdmL1ruQuDqUPUeepw2t4zzzuMTyErBCT5UmemXyGiB2hzd+2pMcWYin4PTbXdbVwXVcLVcdF08DQpUpCCPELmqbR4E1wIH2EOPNPfmarOfymn7C1Oi80xKWXL5X57nMHSBdKrK+Pn5OE0jSNoNdmfX0NJ0cn+Zdn9/PR174Cy1zaczVxeRks9LM/tYeIFSUwQ4spXdOJ2TVMlZPsntpFs6+VGo+03RBCrG5f+MIXeM1rXsOWLVsoFovcd999HDt2jNraWr75zW8uap9yRSfEZaLsVtg3dRiv7j0n8Xk2XdNp8NYxWBihLz+4pMfPVrMcSR8hZIXOSXyeLW7HqbgVDqUPIUXnYrUzDV0Sn0KIGW0IrcfQplc2zIdSikw1x+ZQF74LfEaKy9/B/lGGkmlaa6IXrL7TNY3WeIS+8RRHh8aXOUKx1pzMHaOqqjMmPs8WsaLknRyncieWKTIhxLypFfha5Zqamti9eze/8zu/w6/+6q+yc+dOPvvZz/Liiy+SSCxu9Yxc1QlxmRjIDzNRTs7Zz9PWbVzlciLbs6TH78v3kXWyhM3ZK1oiVoT+fD9TlaklPb4QQgixXFp9TdR7EoyWxud1My9ZSRE0A3QFO5chugvLVgscTPXwwuQx9k6dZLyUWtF4rjT7e4cxdP28oXov57FMXOVyqH9kmSITa1G+mqM3101ojnNvmK4s9hkBTmaP4Z6eByCEEKvJtddeSzKZBOCP//iPUUrxgQ98gL/+67/mS1/6Eh/+8IfPmfy+ULLsXYjLRMEpopTC0uf+s7Z0i0w1u8THLwDM2Ujdo3tIV9IUneKSHl8IIYRYLqZuclvdK/jR8L8xWByh0ZuY8fNPKUWykqLolrit9mbqPDUrEC3kqkWeHj/IvtQppsrTn/8KRdD0sjHUyitqt1Dvnf8SfrE4U7kCXmt+vaM9pslUXs6VxIWV3BIVVSFozC8ZYOs2ZVWm7JYvuEpLCCFWyqFDh8jlcsRiMT75yU/ykY98BL/fv2T7l+SnEJcJQzdQKJRSczYyd5WLqS3tn7+hGfMqoXdx0TV9enshhBBijWr01fPahjt4ZORn9BeGsHWLiBXG1Axcpcg5ObLVPAHTz221N7MjunVFBo1kqwX+pf9Jjqb7iFgB2vwJDE1HKUW6muf5yaP058e4t+VVNPulF+ClZBoGjju/qjtHKSzj0p4rKaWoui4uCls3ZBDOGmNoBjo6ivn9m3KVi4aGIRPfhRCr0DXXXMMHPvABXvWqV6GU4n/+z/9JMDhzS48/+IM/WPD+JfkpxGUi4anBb/rJVHOErQv3/XGVS0VVafE3LOnx6zx1WLpF0SnOejc5XUkTtaPEFjAhVwghhFiNmn2N3NvyRk5meziYPsJkOYmjHDR0AqaPV9RcT1ewg1pPzYollh4ZfpGj6T5a/Qnss1aHaJpGxAoQMv305kf44eAzvK/jHryGvSJxXgm6Gmo4Njw+541qVynKVYeORPySxDGay7J7dIgXRgbJVsooBZZhsKWmjmvrm+iMxtElEbrqBcwgETvKZHkCnzF3dVS+mmVdYD2mNr/qYyHEMlnuPpyrtOfn17/+df7wD/+QH/zgB2iaxo9+9CNM8/yUpaZpkvwU4koWsyN0BtrYlzpEyAxc8KQ6WU4RNoOsD65b0uM3eBto9DXSl++jyds04/ErboWCU+D6+PVYupx4CSGEWPuCZoAd0S1sCW9kqpKi4lYxNIOwFVzxpaVjpRSHM73UeiLnJD7Ppmsazb5a+gvjHM8OsC3SscxRXjm2tzfws0PdTOWLxAIXXqo8kckT9XvZ2lq/pMdPFgv88MQR9o4NM1UqErRtvIaJpmkUqmUe6T3JkwM9rI/GeX3nRjbEpBJ4NTM0g42hq3h87BEc5cy6qqrillFAV2iTVPgKIValTZs28cADDwCg6zoPP/zwoocbzUSSn0JcRq6Lb2eoOEJ/YYgGb+Kc/p9KKSbLUxTdErfX3XxedehUOcd4KY2LImz6qPdeeBLpTHRN58b4jaQqKQaLg9TatXgMz5lj55wck+VJOgOdbA5tXpoXLIQQQqwSpm5Su0I9PS/keGaATKVAXSA663aWbmJoGgdTPZL8vISaYmFu2tDKT/efwNA1wr7zk+PJXIFUvsjrd26iJrR0vc5Gc1m+cXA3RyfHqQ8E2RyoPe88ryEQIlcpc3hynMFshndt3sHO+sYli0EsvXX+To54DjJcHKTB2zRjArTqVhktDtPib6fB03hO5XG+mmOoOETZLWNoBglPgqiszhJCrDB3ni1iFkKSn0JcRuo8cV7X8GoeGX2K4eIYGmBrFo5yKasKITPAbXU3cU1sy5nnDBYm2TVxnIOpPrLVAgqF17DpCCS4Lt7F5nDLvJOgDd4G7krcxTOTzzBSHKFSqqChoVD4DT9bwlu4peaWFa+EEUIIIa4EuWoRXdPm9Tnu1T1MljPLENWVS9M0XrdzI1XX5edHexlN5Yj6vVimQbnqkMwV8Nkmd+3o4jXb1i/ZcVOlIv/foT0cmxxnQyyOqV+4QjBg2XRF4/RmUnzr8F78lsmmeN2SxSKWlt8McFvdnTw29m8MFQbwmwHCZhhDM6mqCiPFCbqzE+SqGkfTx3luvJfOUC07IhtJO1l6871kKmlAg9Pn622BdVwduZoaj1T+CrEctNNfy3m8teAf/uEf+PKXv8ypU6d4+umnaW9v5wtf+AKdnZ285S1vWfD+JPkpxGWm0ZfgHa1vpCfXz4lsD+lKFku3aPM30RVsJ2KHz2x7PDPEd/ufYbyUocYToi1Qh4ZG3ilxJD3I8ewwd9Rv59a6+Q9paPQ18uamNzNYGGSkOIKjHDyGh1ZfK3E7LktthBBCiGWiaxpqnr29XFwZhLIMbNPkLTdsYWtrPbtPDXJ0cJxipYpl6Ny+pYOr1zXSkVja86WnB3o5NDFGV3T2xOdLNE2jLRThxNQkPzxxhPXRGkxd/m2sVjWeWu5peCNH04c4lj3CeHkMV7mMFyscmMqQrzqYuomtVRhQFY6kUzwyso8mn0tHsINGbxP66SFoWSfLofQBRopDvCZxFw3epZ0RIIQQ8/E3f/M3/MEf/AG/+Zu/yf/4H/8Dx3EAiMVifPGLX5TkpxBimq1bbAh1sCF04aVrk6UM3x94llQlz/pgwzkn2UHTSzDoZaKU4ZHhfdR4wmyNtM37+IZm0OpvpdXfelGvQwghhBCLV+eZbmFTdZ05k155p8S1/qXrrSUuzNB1NjXVsampjlKlSrnq4LEM7BkGO1ysQqXCz4f6iXg8C5oer2kaTcEwp1JTHE9OsLlGqj9Xs6AZ4tr4jWyN7GCiPMGJzAjfGHuUqqvR6o9hG9O99l1XMVJMMlrQcJVGxB4nbtegazqaphEyQwSNIEOlIX429hi/1PRmvMaF+9MKIZaADDw6z1/91V/xd3/3d7z1rW/ls5/97JnHr7/+ev7zf/7Pi9qn3MIT4gp1INXLaDFFq7/ugtUFNZ4QLi67Jo7jqqXvuyGEEEKIS6cr1EStJ8J4OTXrdtlKAY9ucVVk3fIEJs7wWCYhn+eSJD4BDkyMMpLLUucPLPi5fsui6jo8PzJ4CSITl4LH8NLgbeTF5CDpap6EN3Am8QlQpYLSyoQtg2zFZriQZaqSPGcfmqZR76lnrDRKT75nuV+CEEJw6tQpdu7ced7jHo+HXC63qH1K8lOIK1DVddidPEXQ9KLPsayq1hOmJzfKYCE563ZCCCGEWF18hodX1F5F2a1esJ9nvlpipJRke6SDZt/qGtgkLt7JqUlcFNY8lrvPJOr1cmhilPLpJYdi9evPT3I41YvXUNi655zvFZ0SrnLx6Aau0khVDCbLY6iXlYIZmoGhmRzLHF3O0IUQAoCOjg5279593uM/+tGP2LJly/lPmAdZ9i7EFSjvlMhWCwTMuQcP+Q0Pw+4UmUoekIsiIYQQYi25NraBYrXME+P7OZkbImIGsHUTR7lMVXJo2vQ29zRejy49Py87mXJ50YlPAEs3KDsOJaeKvYBl82LlJMs5ck4Rn2Hy8hqHqqpOr/jSNExdUazqlN0yjnIwtXNTAz7DS6oyhatceW8QQiyr3/md3+FjH/sYxWIRpRTPPvss3/zmN/nMZz7D3//93y9qn5L8FOKKpZ13l3fWrWVQkRBCCLHm6JrOK+u20Rao52Cqh0PpHgpuGUPT2RZpZ3u0k/XBpnkNwhFrz/QKn4tr8DY9iVjOA9cK7fRvy51r2pmafeqzYvr8X373Qojl9oEPfIBqtconPvEJ8vk89913H83NzfzFX/wF7373uxe1T0l+CnEFCpheajwhhgqThC3/rNumqwUChocaO7RM0QkhhBBiKWmaRlsgQVsgwWvqr6HkVjA1HZ/hkZubl7mIx0PFXXzf9mK1is+08F6inqRi6dV7I0SsIJPlLEGTc6o/Lc0irwoo16WqIG45+IzgeVWfAAUnT5O3S94jhLjUZODRjP7Df/gP/If/8B8YHx/HdV0SiemhjAMDAzQ3Ny94f1K/LsQVyNB0dsY6KTlVqu6FezgppZgopdkYbqbWE17GCIUQQghxKXgMi7Dlx296JalxBdgYr8XUdYrVyoKfq5QiVSqxs74RU5fLxrUi4Q1zTWw9Jceg6BTO+Z7X8GJoOgXXwdAUEVsRt2vP20fFnf730hXasCwxCyHEhdTW1pJIJBgeHuY3fuM36OrqWtR+5FNMiCvUlkgr64IJevJjMyZAlVIMFCYJmT5urNkgF0hCCCGEEGvMplgtbeEoI/mFT8fNVMoELIudiaZLEJm4VDRN4/VN19ERbGC0VCRdzvPSCnhdM3CUTb7qEPWUaPRGiVrRc55fdauMlIZp8bXS4mtd0LGLTpl9U918u+cJ/u74g3ztxL/x48EX6MuN46rFVyALIa4MU1NTvOc976Guro6mpib+8i//Etd1+YM/+AM6Ozt55pln+OpXv7qofcv6BSGuUAHTy1tbbuJf+p+hJzeGV7eIWH40TSNXLZGu5Il5gryp6QbaA4mVDlcIIYQQQiyQZRjc3NjKNw/tIVcpE7DseT3PUS6DmQw76xtpC0cucZRiqTX4onx807189eQPOZzqI1meRNN0NMBjaHSETOq8Cp8ZoOyWMXULV7mkK2mKboFWXyu31b0aS7fmfcwDqV4eHt7DSHEKHQ2PYaGAY9lBnp04Sleokdc3XUfMDl6y1y2EWNt+//d/n8cff5z3v//9/PjHP+a3fuu3+PGPf0yxWORHP/oRt99++6L3LclPIa5gCW+U+9pv52Cql93JU0yUMyil8Bk2dzVczdZIGw2+2EqHKYQQQgghFummphZOTE3w9GAf7eEofmv2hJbjupxMTdIaDvPWDVfJ6p81qtkf579ufQ8Hpk6yO3mYycoktq6xOdJEV6CLrJPjWOYoo6VRHFVF13SiVpQbQjfQFdyI35x9LsDZ9iRP8f2B56gqh1Z/HdZZA9SUUuSdEvumeshWi7yz7VVE7cCleMlCiDXuhz/8IV/72te46667+OhHP0pXVxcbN27ki1/84kXve00lPz/zmc/w+7//+9x///1nXrxSik9+8pN85StfIZlMctNNN/G//tf/YuvWrSsbrBBrRMjycVPtJq6Ld5GpFlBKETC9eIz53+kVQgghhBCrk8cwecem7SileHZ4AL9lkfAH8BjnXgo6ymWiUGAin2ddNMZ7rrqahoAMvFzLdE1ne6yL7bGZe+RtCm1msjxB2S1jaCZxO76gak+AsWKanwy9CCha/ef3D9U0jYDpZV0gwansMA8N7+aXW2+5ZEl1pVyqqoSrXEzdxtDkmkasbpqa/lrO461Wg4ODbNmyBYDOzk68Xi8f/vCHl2Tfayb5+dxzz/GVr3yFHTt2nPP45z73Of78z/+cr3/962zcuJFPfepT3H333Rw5coRQSD6shZgvUzdkGYoQQgghxGUoaNu8Z+s1dETjPD3YS186jasUHsNA06DiulQcl1qfn9d2buC2lnXU+aU673Knazq1nrqL2sfBVC/Jcpb1wYZZtzN1g4Q3ytH0AKOlFPXe6EUd9+Vy1SQjhaP05/dSdnMopdA1kzpvJ02+LcQ9beiaMfeOhBArxnVdrLNWJxiGQSCwNJ9FayL5mc1mec973sPf/d3f8alPferM40opvvjFL/Jf/+t/5W1vexsA//t//2/q6+v5P//n//Crv/qrKxWyEEKIFVAoV0gXSgBE/F681pr4mBNCCCEuOY9h8pq2Tm5pbuPwxBgHJkZJFYtUlUvQ8tAVi7OjroGIx7vSoYo1ouxW2T11iqDpnVclZ8j0MVpMcSTVv2TJT0dVOJb+GX253RScNLbux9Z9oGu4qkJP7nn6c3uIe9rYEr2HsCWzDIRYrZRS/Pt//+/xeDwAFItFPvKRj5yXAP3Od76z4H2viavCj33sY7zxjW/krrvuOif5eerUKYaHh7nnnnvOPObxeLj99tt56qmnLpj8LJVKlEqlM/+fTqcvXfBCCCEuuaGpDLt7B3m+e4BsqYwGhLwerlvXzM72JhJhqWoWQgghYDoJenWikasTjSsdiljjctUi2UqBoOWb1/aapmHpBpPl7JIc31EV9iV/RF9+Nz4jQq1nHZqmn7NNwKyh4hYZK53khcn/yzWxtxC1m5bk+EKIpfX+97//nP9/73vfu2T7XvXJzwceeIAXXniB55577rzvDQ8PA1BfX3/O4/X19fT09Fxwn5/5zGf45Cc/ubSBCiGEWBH7+4f5zq4DjGVzRH1e4n4fCsgUS/xwz2GeO9XPO27YzqbGi1vWJYQQQgghzrfQ7p0O7pIc91j6CfryLxI267GNCw9osnQvNXYbk+Ve9iX/lRtq34XXkBZ5Qqw2X/va1y7ZvvW5N1k5fX193H///fzjP/4jXu+Fl1+8vMReKTVr2f3v/d7vkUqlznz19fUtWcxCCCGWT/d4kn9+bj+ZYomN9bXUR0L4PTYBj01DJMSG+lqS+QLffnYfA8nUSocrhBBCCHHZ8Bk2XsOm4JTn/ZyqcohaF9/DL1+doi83XfE5W+LzJZqmE7NbmSoPMFw4fNHHF2LJqBX4ugKt6uTn888/z+joKNdddx2maWKaJo899hh/+Zd/iWmaZyo+X6oAfcno6Oh51aBn83g8hMPhc76EEEKsPU8d62EyX6CtJjrjTS9N01hXE2M0k+XnJ5buRlfJqZAsZ0mWs5ScypLtV4grneO65MplCpUKrrpCz86FEGKN8Bo226JtTJWnBwzNJVct4tFtNoQuftn5SPEoBTeN34jO+zm6ZmDpXvrze3CUnL8JcSVZ1cve77zzTvbt23fOYx/4wAfYvHkzv/u7v0tnZycNDQ089NBD7Ny5E4Byucxjjz3Gn/7pn65EyEKcoZSi5FSpKBevYWLpMl1QiKU0ls5ycHCUumBg1mp/TdOoCfrZ0zfEHVvWE/XPry/VyymlGChMcDDVy4FUD0V3usrBZ9hsjaxja6SNRm98Xg3/hRC/oJRiMJNh7/Awu4YGKVQqaEDM5+Omlha219cT9S7u71YIsXq4ymWwMMFoMUlVOXh0i7ZAPTFblh+vZVsjbeyaOM5kOUuN58K/y6JToTc/SlewiYaLHHaklGIgvx9b857X43MuAbOGVHmEZKmfWm/HRcUhhFg7VnXyMxQKsW3btnMeCwQC1NTUnHn8N3/zN/n0pz/Nhg0b2LBhA5/+9Kfx+/3cd999KxGyEFRch0PJUXaN9XEyPYGjFF7D5Nq6FnbWNNESjK50iEJcFkYzOTLFEvWJuYcZRX0+eiaSjKVzi0p+Vtwqj4zsYdfkMQpOibDlJ2j6UCgKTplHR/fw3MQRbqzZxKsTOzDlZocQ81JxHH587Bg/6+0hXSoR9njwmSYKGEin+T9791IXCPCmjZu4oblZbi4IsUYdzfTz/MQRuvPDlNwyGhquUoQtP5vCbdxUcxV1nuhKhykWodlXw6vqtvBvI3tQKGrs0Jn3aqUUqUqOoeIkvblRbN0gaBp8o/tBro6u56pIO0Fz4edljqpQdDJY+sKfa+o2Lg4lN7/g5woh1q5Vnfycj0984hMUCgU++tGPkkwmuemmm3jwwQcJheQOolh+2UqJb5/YwwvjA6AUMY8Pj26Qr5b5Yc9Bnhw6xRvbr+JVDR1yASfERXLc+S+J1TUNpRTOIpbROsrloeEXeXr8IHE7TIM3ds7fb9D0UWuHSVVyPDa6D0e53N2wE32BlQhCXGkc1+W7hw/zyKmT1Ph8bKqpOedvK+7z4bgug5kMD+zfh6sUN7e2rmDEQojFeGHyKA8O76LsVqj1RPAb06skXKVIVbI8O3GI3twIb215FU2+2pUOVyyQpmncmtiCrmk8MXaQE9lhgqYXWzcZKkzQmx/DwSFmBdkcbiRoeRkrTfGDwafZO3WSNzffQt0CK0EVLqDQLqKLn8JZ9HOFEGvPmkt+Pvroo+f8v6Zp/NEf/RF/9Ed/tCLxCPGSquvyzyf28uxoL23BKH7TPvO9KD4afCGGCxm+c3IfHsPkxkTbCkYrxNoX8trYpkGhUsVvW7Numy+X8VoWQY8963YzOZzu49mJI9R6ooSsmSsMNE0jagfRNZ1nJg7THkiwOSxJGiFms2d4mMd7uqkPBIhcYLCloeu0RiIMpNN898gh2qNRGuUGtxBrxonsIA8N78LQdNoD585k0DWNmB0iYgXozY/y/YGnec+6uxZVCShWlq7p3JrYyuZwC4dSfeyZ6qYvP8pgcYIaT5DOYIJaT+jMypiA6aXqOvTmR/jewJO8q+0Oghc4x5qJoVkYmkXVLS04VldNT5o3Nc+CnyuEWLukLEWIJXI0NcYL4/20Bs5NfL5E0zQa/dPDtR7uP0bJqS53iEJcVtpqorTFo4yls3NuO5bJ0ZmI0xRd2IA7pRR7pk4CXDDxebaw5cdVLnuSp+bV+F+IK5VSip/396FQF0x8nq0pFCJZKLLnZUMuhRCrl1KK3ZPHKLplErNU9umaTqs/wWBhnCPppRtOKJZfnTfCbfXb+ND6u2jxR7g62sIrajfQ4Iue1xLI1A3a/Ql686McSHcv6Di6ZpDwbqDoZBYcY8GZwm9EiNoXP3RJCLF2SPJTiCXy/GgfVeUSsGavLGvwhxjIpTicHF2myMRq4SqXdKXAVDkvE8KXgKHr3LS+Fcd1SReKF9wumSuApnFjZwu6vrB2E0PFJKeyI8RnaeD/cnE7xInsEKOlqQUd62wV1+HI1CjPjfWya6yP4+lxHNdd9P5WK8d1JUl8hepNpTg2OUnCH5jX9pqmEfZ4eHagn2JV3j+FWAtGS1OcyA1SY89949HQdDy6xZ6p4zhqbX/eKaWYKk/SnTvByexR+vM9lE8PSbxSnMoNkaxkqPNGZ231ZegGPsNmz9RxKu7CCkMafVdh6h7Kzvx7dyqlyDspGn1b8BqyikCsDhqgqWX8WukXvELW3LJ3IVajqutyLD1O1J67MsxjmDgoBvIprkbuOF4J8tUSB6YGeX7iFMPFNEopvIbF1fE2dsRaafHHVjrENeu6dc0MJNM8fuQUmWKJulAQ25yuLChVq4ylc5Qch7u2rGdHS+OC958sZyg4JRq88/8dBU0fY6U0yXKW+gU8D6DsODw71sMzoz30Zaeonr4AtHSDdaE4NyfauaG2FUOf371LpRSTxQKO6xK0Pfit2dsDLIfxYo6940PsGusnWylh6QabYwmurW2mIxxHl37IV4TxfJ5itUrQnn8riqjXw0ShQLJQpDG08v+WZzJZzDOUT+Oe7vvdHIhIj+8ZKKXoy00xks+iUNR6A6wLyd//5WailCJfLZGY5yCjsOVnopQmWy0QseZ3Y2S1GSr0czRzgP58N0WngNJARydqx+kKbmZDaAs+w7/SYV5yI8UplFJY+tzphogVYLKUYaqSXdDQq5jdTI1nHcOFI9To7fPqtZ6rTuDRgzT6t8z7OEKIy4MkP4VYAo5ycZXCmO9Ju5pOmIrL32gxzT/1PMeJzCi2ZhC1/WiaRsGp8NDgfn4+doLXNm/nFbXr5QJ5EQxd55euuYraUICnjvfQNzmFYvrCWtc0mmMRbtnQxs2dbQuu+oTpal0NbUG/m+lt1YIrV0pOlW+deJGfj/XiMUya/GG85nSCJ18t052Z5ER6nL5sknvX7cCcJQHqKsXu4SF+PtDHqakkrlL4LYvrGpu5qbmFhuDKVDs8O9rHd08dYLyQI2DZeA2TklPlkf5jPDXUzc0N7by1YyseQ05PLneO605XOizkb4vTg8tW4efnWCHHTweO8+L4AKlSEQX4TYsN0Vpe09zFpmjdSoe4apxMT/BQ/1GOTo1ROL0KwqObdIZruLNlA1ti9XPsQawV05+Dat5/57qmoxbx+blaHMsc4tmJxyk4BSJWlKg1PcSt6lZJV6f4+cTPGCz0cWvdXQTMy7vq0FEOLPD37i7w965pOlsid1N00kyWe4nbLejazOcPSimy1QmqqsiWyD3E7OYFHUsIsfbJ1YUQS8DWDQKWzXghR80c2yqlUKg5l8eLtS9dKfDt7mc5kR2lI1CHdVavo7DlI+EJMVpK8/2+F/HqJtfWrFu5YNcw09C5deM6buxo4ejIOFP56SXw8YCPDfU12ObiP+ps3Tp94eKc16vqQqqug6HpePWFVaZ9v+cAT4920xqInff+4DdtOkJx0uUijw6dIGx7eW3L5hn347gu3zt6mJ92n0QpRY0/gKXrZMtl/vX4UXYPD/HeHdewPhZfUHwX68XxAb59bDcK2BStO6fCq9EfJlUu8tOB46DgHV07pALsMue1TBTTNwJnS+Sfrew4WLqBdxVUMJ9tNJ/lq4ef41R6klpvgPWRGnQ0MpUSe8eHOJWe5N0brmFnrVxsH5ka5R+PPs9EMU+jP0SLNV0Zm6uUOZIapS83xa907ZSf1WXCa9jomk7Frc6rArDsVrA0E5++9s6RB/K9/HzicQAavS3nJHxN3SRu11J1K/Tlu3ly/KfckXgD5jx+JmuV3/BOX/OouZPfRaeMrZt4jYUPIApaNVwTfyt7kz9kstyLodkEzRosfbqXtKsc8s4URSeNRw+yNXIPbYHrFvWahBBrm/T8FGIJaJrGjXVt5Kpl3Dn616XKRUKWh6uiUtlwuds92cvJ7BidL0t8vkTTNOq9ETQ0Hhk5LH1AL5LHMtne0sCtG9dx68Z1bG2uv6jEJ0Crv5a4FSRZnnuo0ksmyhlqPGGa/bXzfs5IIcNz433UeYOz3hgJ217Clpcnh0+RKc/c53TX0CAPnzpJzOdjfbyGqNdLwLapDwbZVFPLaD7Htw7sI1devv5jJafKT3qPUHFdWoPRGRObEdtLoz/M0yPdnExPLFtsYmV0RGPU+v1M5Offq208n6czHqfGt3omQSul+JdT++nOTLIhUkudL4Ch6dM9Sm0vGyK1lB2Hfzm5n8ni/F/r5ahYrfCdk/tIlYtsiNQSsr1nkiIBy2Z9qIaK4/Avp/YxVSqscLRiKbT6E9R4IiTL8xtKM1XJsjHcis9cW1O4lVIcyuyl5BaJna72nImpW9R56unP9zBUvLwHO3UEG/EZHnLOhXuyv2SqkqUr2LzoVgdhK8ENNe/k6tibidpNZCsTjBe7GS91kyz3o2PQFXoVN9b+Cu3B62WllRBXKEl+CrEEHNclbHlxXdg9PsRYPjvjkp2q6zBcyLA13kCj//Je7nKlKztVdk104zfsOSsG631hhgtTHEnLFOPVxm962RHrIF3NzXljA6aXyWcrBa6OduI15l+5smdikFS5SNwzdx+wOm9gum9mcui87zmuyzP9veiaRsx7foJI1zQ6olH60ykOjC3f0LUjU2P0ZVM0BWYfehGxvZQchxfGBpYpMrFSQh4P1zc1MVkszOtvq1StolDc0NS8qi5ce7NTHJkao8kfnrGCVdM0WoNRRgtZ9k2e/zd7JTmQHKE/l6I1OPMAFE3TaAlGGJOf1WXDa9jsiHSSqRbmHGaTqeSxNYst4fZlim7pTJTHGCr0EbXic74/2boHhcuJ7JFlim5lNHrjdAYbGS1OzdrGYKqcxdJMtkU7Lup4HiNAW2AnN9e+l5vr3sP1te/g2vjbuaHm3bwy8UGuitwp093F6qVW4OsKdPnW2guxDBzX5bnRfp4Z6eVUepJ0qUxfNsnxqXESviDrwjFaghEMTWOqXGCkkGVDpJZfat+yqi7exNIbK2UYL2WotYNzbmvrJo5yGcgn2RFrXYboxELsiHawP9VDf36MFn/dBZdju0rRmxujwRdje2Tdgo5xIj2OzzDn9b5g6Dq6ptGbTfLK+nMvFkZyWXpTKRKBCydRTd1A1zQOj49xY3PLguJcrN7s9MXPfHp5RmwvB5Mj81oqJxZHKUXBKeIoF6/hmddy1EvhppZW9gwPczKZpDMWu+DfVtlxODWVZEd9A1sTiWWOcnYn0xPkq2VaA5ELbqNrGh7d5MDkCLc3rV/G6FaX46lxQM24EuIlhqZjGyYHkyPc2ti5fMGJS2ZnfAOnckMczw7Q4qvDY5zbtkIpRbqaZ7KU5pbabbQHVu/KKKUUvdkpXhwb5FBylLLjELY91Addkk6ReHB+vX0DRpCR4iBVt3rZLn3XNI07668jWc7Skxuh3hvDb3jOfK47rsPE6aGSt9btoDOwNIlJXTOIe9qWZF9CiMvL5fluK8QyqLjTy9geHzg1vXzZF2RdKEZHOMaRqTFG8xmG8hliXh8twQg1Xh+vaujgDW1XEfde/lMer3QV18FRLsY8Jk8CGOiU56iKECuj1hPhl5pu4rv9T9OdG6bWEyFk+s6cwL904TZeSpPwRHhL883EPQur7C67zrwnuMN0ArTsOOfvx3GoKnfW5AKAqevkq8vXZqHiOGjML5FpaDpV151+Hdr8+qyK+XGVy4lsHwfTxxgojOIqF7/pY2u4i6vC6wlbc9+sWUr1wSC/smMH/2fvXo5OTFDn9xPz+c4kQauuy3g+x1SxyJa6BO/ath3PRbayWGoV10XT5h6KZukGhQX8zRWqZQ6kBnlxopeJUhafYbM91sz2WAt13rW5cqToVOf1mWhq+oJ+VmJ1C5o+3tz8Sn44+AwnsgMoIGL5z/QCTVfy+AybV9Zu59X118xrYvdKKDlVvn/qIE8N95CrVghZNoamkyzleW5sgpKqorUUWR+duy2Hrhk4ysFRVczL+HK8xhPm7a238W/Dz9OdG2KkOImh6aer/TXinhC31u3ghprNcrNTCHHJXb7vtkJcYg/1HuOn/Sdo8IcI294zjyd8QWq9ASZLecYKWUYLOZp8ET667WYa5ljyKS4fPsPG1g1KbhV7HtVuDi6BNdbj6krSEWzgne238+TYAY5nBxkvpZie6T4taHrZGVvPq2q30uCLLXj/IctD2Zl/8rviODP2Bg3aHrymSb5SmTVJVHIc4jMsi79U/KaFO8/BByWnStznw1ylF8BrlaNcnhjfxfOTB3CVS9gKousWuWqen44+w6H0Cd7QeDsJ71xj+5ZWV7yGD117HY91n2LfyAjHJiamk4lM/33VBQK8adM6bmtfR9iz+t4jA6aNUgpXqVmHdBWdCrF5tLUAmCzl+Hb3cxxNj2BqOj7DJlMp8t2+MZ4aO8G9bdeyNbr2lm9GbC8Vd+5pziWnSsyzevq6iosXtYO8s+3VnMwOsX/qJH2FUaqug61bvKp2O1dF2mn21a7aBJirFN89dYBH+k+Q8AVpCUTOiTVoO+yeHOOJ/qnp9jIR7yx7g4pbwTZsrDU42Gmhaj0R3tX2GgYL45zMDZGp5DE1g4Q3xsZQC35z9p+VEEIsFUl+CrEIyWKBnw2dImL7zkl8vkTXNGq9AWq9AZoCRdLlIsUZqrTE5avOG6Q9UMuxzDAha/YTu1y1hFe3WB9aXcs5xbmafHF+ufVVjJZSnMgOkq1MN/EPWT66gk3UesKLvnDbEmvg+fH+eU2+LjlVDF1nU+T8fy81Ph9bahM8M9BH1OudMZ58pYKp62yvb1hUrIuxMVqH37LIVsuErAsnsJRSZCpF7mndsGovgteqg6njPDuxj6gVInTWUImg6SduR+nPD/PgyJO8o+V1eBbQr3YpNIfD3LfjasZyOY5MjJMvV9A1jbDXw5a6BEF79SYINscSxDw+Jop56nwzD+soO1UUcE1t45z7q7oO/7fneQ6lhugI1mKftSRWKUVvbpLv9DxPzPbT5I8u0atYHlti9Tw6eJxcpXzBwW4v/ayurll7yV0xO0s32RRuZWOohYpycFwHWzcx5lipsBocT43z5FAPDb4QEc/553RhK0y938N4ocILIxlagjaWMfNnuVKKvJNlU/jGVVvlutQ0TaPZX0ezf35tAVaKq1yS5TQlt4yOTsD0nfN5KYRY2yT5KcQi7J0YYrJYYEN07gqZsOVhKJfhxbEB1oUXXhEm1iZd07m2Zh2H00NkqyWCF6jqVEoxVJhiY7iR9sDyVlyJhdM0jXpvlHpvdEn3uy3WQJ03yHAhTUtg9n0P5lO0BKIzJj81TeOVrW0cHB+lN52iNRw5pxqtUKnQk5ri2sZGNsSX799beyjGxkgteyeG2BC5cN/UwXyauNfP1bWS+FhKjnLYO3UYUzNmvJAzNJ0mX4LBwijd+QE2hS5u8MRi1QUC1AXW1oVmjdfPDYlWHuw9it+0zkvqVV2Xk5lJNkTq2BKbu5fhicwYx9IjtPnj5yQ+Yfrvuy0Q51hmhBcne9dc8nN9uIbN0QS7JwbpDNVgG+cmvaquy6lskg3hWq6ax89KrE2apmFrJqyhXpcvjA5ScpwZE58Alm4TtWvIVweYLJr0Z0t0RGauXs45WbyGl/ZA16UMWSxA0SlxPNvHgdRxBgtjVJWDBnh1DxtC7WwOd9Dir593KyshFmy5hxDJwCMhxHwdT41j6/q8PgQ1TSNkeziYHOXeZYhtLVFKMZLPkq9UsA2DxkBoQX0PV7vt0RZurOnk6bHj1HlDRC3/OdVsJadCfyFJrSfEG5p3XDEVAOJ8QcvDa1s28a2TuxnOZ6j3Bc+rfFRK0Z9PYesmr2/ZfF7i4CVd8RrevXUH3zl0gCMT4/hN65wen9c0NPLuLTvmrDBdSrqm8ZaObUwU8xxNjdESiBA8qwK07DgM5dOgwb3rtlHvX5s9DVer0eIEo6UJYvaFh/JYuokGdOf6Vyz5uVa9oW0z2XKJZ8f60AoQs/3omka6UiJfLbM+XMN9G67Ba1pz7ut4ZoSK6+AzZ66M1DSNiOVnT7KPe5q2ztnfdzUxdJ13rL+akuNwaGqEgGkTtX1oGqTKRTKVEp3hGt7dtXNew9HE5clVDpPlIUpOHl0ziNr1+Izl7Ud8trLjcGBymNgMK73OVuepJ1tJkyxkGcr6Zkx+5qpZ0tUpro7cQK29tKt9XOXSnx/nVG6YXLWIR7do8tWwPtR03o0U8QujxUl+Mvwk/flRTE0naoexdRMF5KtFXkgeZF/qKNsiG3hN4oZlXxkhhFg68k4oxCIUq9UFJelMTafkVGV68WlKKfaMDfP0QB/HpyYoOw6WrtMSinBzUys3NrYsa2LmUrF0g7e0Tl/EPT/RzbHiCF7DQtc0Sm4VDY22QA1vabmW1kB8pcMVK+zmRDsV1+GHfYc4khojavsIWjYKyFZKpMpF4h4f967bwY45loTubGikNRxh78gwB8ZHKFUdEv4A1zQ0srm27oKJ00upKRDmg1fdyL+c3Mfx1AR9uRSmpuMoF13TafaHuKdtE9fXLc8E+itJ2a1QVQ6WPnvyzdRM8tXiMkV1+fCaFu/esJOtNQ08O9JHbzaJcqd7gN9c38bO2iYi8+xhmauW57yxahsmZceh4lbXVPIToMYb4INX3cjzY/08M9LDRDEHQNT2cU/LJq5PtMy7N6q4vCjl0ps/yMnsHpLlIapuBU3T8BthWvyb2RC6Hr+5/L3zK+70IMG5zks9upf2wHpG80cYL00xWioRMIKnBzuVyToZLM1mR+Q6ro3ftKTXA2PFFA8OP093dpiiW0bXdNzTQzfrvTFenbiaqyIyAf3lJkpTfH/wUUaLkzT76jFf9n5q2xZRO0SuWuD55EEc5fDahleet50QF0s7/bWcx7sSSfJTiEUIWPa8mva/pOJOL5WRxOd04vPB7uP868kjOEpR5/PjNS0qrkN3OsnxqQm600nesXEb1gokaJaax7B4c8tObq5dz/6pfnpyE1SVS8zyszXazIZwPZbckRdMV3Td1riejlANL0708/x4P6nyS31FPby6cT1X1zTT6J/fxV+t388dHZ3c0dF5KcNekKZAmF/bdgun0pMcTY2RKZfwGCZtwShb4vVS7XWJeAwPlm5Sdsv4jAtXL1VUhaApg2YWwzYMrqtr4draZnLVMq5S+E17wTfygqaHqpr9/KLoVAhanjVbzRWyPLy6aT2vbFjHVKkAQNj2yt//FUwpxaH0UxxKP42mNIJWHFv34iqXfDXF4fTTTJT6ubH2lwiay9tCyjYMLN2gNI+hhD7DT62nke2xEAlPlmRlEuUqTM1ia/ga1gW6qPc2LelKn/FSin/ue5zBwgT13hhN5i9a2pTdKqPFJN/tfwpHuWyLrluy4651rnJ5eOTnjBQnafM3zPo7CZg+6qlh79QxmnwJdsY2L2OkQoilImcZQizCxlgdz4z0zms4iVKKbKXEHS3S2wdg//gI/3ryKAHLps7/i95utmHQEbHJlEv8rK+bxkCI17StnqTNxdA0jXpfhHrfhZecCvGS1mCU1mCUu5s3ka2U0DQIWZdPYkDXNNZHalgfkR63yyXhidPoTdBfGKbZN3Pys+xW0DWdzqBUB10MTdPOaemwUJsjjTw+cpRspTTjflylyFQK3Fa/Yc1XH1m6QZ1v5ZYzi9VjqHiCw+mf49WDBMxfnCvpmk7QiuE3w4yV+tib/CmvqL13WYsJLN3g6tpGHuw9NmNLmrMVq1U8usXtDdewJZ6g6BRwlIOt23hmufG0WEopfjqyh4HCBB2B+vMSeLZu0uKvY7Awwb+NvEB7IEHIkspqgIHCKH35Yeq98Xklo/2mF7tism/qKNsja//9V6wy0vNzWaz9daVCrIDt8QYSviCjheyc2yZLBUK2Z15TXi93SimeGeyj4jrnJD7PFrI9+CyLpwZ753WXXYjZKKVw1dr8hPeZFnW+ILXe4GWT+BQrQ9d0ro5uRkMjWU6d9/2qW2WwMEqrr5E2vwybWknrgjVsjTYzUEiSr5bP+Z6jXE5lx2nwRbgmvrqS1I7rkskVSWUKlMry2S3mTylFb3Y/rqqek/g8m64ZRKw6RordJMtDyxwh7KxrJmBZTJ6uVJ6JUor+XIq2UJSN0Tp0TcdvBghZ4UuS+AQYLU1xIjNInScyawKv3htjspThSKb/ksSxFh1Jd1OaYzXEy8XtCEPFcXrzy/9vUAhx8eRqSohFCNkeXtPcyf89sZ+JYp4a78x3UTPlEmPFHHe3bqApsPx9ilab8UKeY8mJCyY+X5LwB+hPp+lOJdkUr1um6MTlolStcmRinOcHB+lJTaGUIu7zc11TE9sT9US8i78ImcoUODUwQbFUwbYMWutj1MVnrwQRYjXYFOogXcnyzMRuunODhEw/hqaTd4pU3Art/iZe2/AqacOxwnRN5962nbjKZf/UII5y8RrW6b6DDk2+KG9vv44678oNBXNUhcnSKYYLBxhND9PX49J30kMlG8LWQ3g9HrZtaGTbxkaa66Py/ihmlXfSjJZ6CRjRWbfz6H7S1THGSr3EPct7k6YjFOOOli7+tecwVdelzhdAP+vfdcV16M2mCNse3tyxZdn6anfnRsg5RRLe6KzbGZqOcjQe7t7LwNQopgkxv59GX4I2fyOGduVVMfbmhwiYC6uC9Rg2jnIZKyXpDEp/ciHWGjnDFWKRbm9eT75a5aG+Y0yW8tR5A4RsDxoauUp5uipUg9ubOnnTuqvk5B8oViuUHYfYHMknj2HiKJdCVapHxMKM5rI8sH8fRycmQEHIY6NpGqemJjk8PkZDMMi9V21hR33DgvabyRV5bNdx9h0fIp0tTncKVwq/z8Om9gSvvr6LRI1MKBerl6Zp3BDfTrOvnsOZk5zM9eEql0Zvgq2RLjYE2/GZl6Y6SSxM0PJyX+fNnMiMsi/Zz0Qph9ewuCrSyJZoEyFr5X5P2coYB1P/SrLczfgo7HnGz+Q4GGYaX2AML0FUuZXHns2ya18Pt97Qxa3Xd6Hrcg4kZlZ1yziqineOie7T59EaFbe0PIG97Nivb9uEqek8OnCSo1PjeAwDU9cpOg4oRVMwzNs6t7E5trRT3GdTPj08c9al+CWH44MTnMz2gFli74SNoemEfB7qAkE2xFq4pXYnHYErJ5mnlKLsVuYcLjcTDY2KK9cnQqxFkvwUYpF0TeMN7ZtoD0V5dqSPQ8lRxoo5UOA1TbbE67mpvpWra5sui8nlS8FjmJi6Ttlx8JoXnjpccRx0TZOlvmJBkoUC39izm+OTk3REo3jMs//9BHBcl750mv+zby+mrrOlbn4XKOlckX968EWO9owRD/tY1xRH1zWUUqRzRZ4/2MfQeIp3vfZaGmqlwlusXpqm0eyvp9lfz2vUTbhKYWi63JxbhSzdYHOkkc2R1dMyJ1+dZG/yO6QqA6hsI/ufdslMOTQ3GuiGhqscSm6Gqt5Da3QL2Qw89OQRdF3j1uul77mYmalb6JqBo+aRUFIKU7cvfVAzMHSd17Vv4vpEC3snhjg6NU7JqRKxvWyvaWBLvB7fLOe2l4KtGSgUSqkZ38dzhSq7Dg+RNPrBU8SHnxqzlmrVJTdVoZgtUHa6mSqneF3jbay/Qno+a5qGpZmU3coinq1khYQQa5T85QpxETRNY1tNA1vj9YwWsiRLBRQQtGxaAhG5oHyZOn+Azmicg+OjhD0XrlwZzeeoDwTpiESXLzix5j3e082xiQk21NTMeMPB0HXaIxFOJaf4/pEjdMVr5rU07afPHuVI9yjrmuJY5i+21zSNSNBHyO/h1OAkP/zZAf79W27CkJsdYg3QNR0pxhML0Z19mlS5j5ing6cOlJmcdGloNM5UdeqagdeIUHSmmKr0kohehesqnth1gi1djdREZ295I65MfiNCraeFocIJfLNUf5acAqbuodbTuozRna/WF+COlq5VMci0xV+Hz/CQc4oETd8531NKse9okiTD2IEq1bKHoCeIqemYlo7HMskUS4yNu/jtHD8d/TmN3jr8L9vP5arZX8+LyUPUemLzfk7l9GDAuC0DTMUSk4FHy0Ku0IRYApqmUe8PsTmW4KpYgtag9LiaiaZp3NTYiqZpJIszN43PVcpky2VubmydtTpUiLOlSyV2DQ4Q9/lmrbTWNI3mcIi+dIoj4+Nz7ncilePAiWFqo4FzEp9n03WdproI3YOTdA9MLvo1CCHEalWoTjFSPITfrCGT1ujrrRKOaOctZ9fQsHQfueokFTdPTSxAOlPk8InhFYpcrHaaptEe2IqmaRSczIzbuMolVRmlztNKjS1D2V7S5KuhI9jAaHHqvOGOk6kyY5kUdrCMWzUwNRO/4TnzfQ0IeT2UKw6VnMVEaYoT2b5lfgUr56pwB6ZmUnTm30Zhopwm4YmzLrB6KvKFEPMnyU8hxLLaWd/Ine2dTBYKdKeS5CsVXKUoOVX6Myn6M2luamrhttaOlQ5VLJFMucT+8RFeGBnk4MQohepilhnN7mRykolCgVr/3M3rPaaJ47ocHh+be799E6SzRSKh2SshfB6LSsXhWO/ovGMWQoi1Ilnuoeik8RoRRocdCnlFIDDzTV5T8+CoMgVnCk3T8Hot9h+7+OnIrnLIVsZJV4YpOumL3p9YPZp8G+gKXku2OsVUeYTq6eXISiny1TRjpV6idoId0degLaJP4+VK0zRenbiahDdKT26UkvOL86vRiSJVM4+jVVCuRtQOYr5ssJEGeC2T0UweDZ1j2e7lfQErqMXfQLM/wUhx4rzE8UxKTpmiU2J7dAOWLsUZQqxFsuxdCIGrXMZKkxSdEh7Dps5Ts6gm4POhaxpv7rqK+kCQpwZ66U1PUXYcTF2nIRDijZ2tvLKlXfp9XgbS5RKP9Z3kueEBxgu50/0FNeoDIW5qbOW2lnVL1h+reHo41nyXnFuGQbZcnnu/5Qqapp0z1fVCTEMnm597n0KstIqbIVk8wGRpD2VnClP3EbW3EfNuw2cu37AOsXZUVen0YBWdcrmKBrOscJkeTOOe7uHosUxyF/He6LhlhgoHGMjvIVMZwcXB1GzqvBto8u+gxiM3S9c6XTPYHn01ATPKyexupiojKFwUCq8eoDN4NZvCNxO2alY61FWn0RfnbS2v4sdDu+jPj1FVLrZuMJjNU9FK2JpO3BM5b1n8S0xDp+K4GOjkqvlljn7lGJrOHYkb+e7AT+kvjNDiS6Bf4Nqn4JQYLoyzJbKeHdGNyxypEGKpSHZBiCtcT66fXZP7GCyMUHYrWLpJg6+O62LbWR9svyTH1DWNVzS1cUNDC32ZFLlKGa9h0hqOSNLzMjFVLPC/D77AgfFRYl4fHZE4pq5TcRxGCzm+c+wAPakp3rvlavzWxQ8vMHUdpS7c9P/lHNfFa879b8009FmHCZy7T4XHln+/YnXLVfroTv8zuUofuubB0LxUnQx95R8wWniSttAvEfdes9JhilVGx4DT74WmCYq53mcV2ukFZlXXJbTI98aqW+LA1A8YzO9D10x8RgxdM6i6RfpzLzBSOMymyF20Bq5b1P7F6qFrBl2h61gX2M5YqY+Sk0fXDGJ2PSFJes6q2V/L+zvu5lRumOOZQbLVAk5oCrdaxG8bBNWFV6+47vT5jUJhr9AwqZXS4KvlTU238+PhJ+jND+E1PMSsMJZuolAUnBKT5TQasD26gbvqb8aWqk8h1iy5ShPiCnYi28ODw49TcArErRhew0PJLTOQH2asOMFd9a9iU3j9JTu+qet0RObfaFysDUopvnPsAAfHR1kfPXeokGUYNAfDFKoVnh/pp87v594NWy/6mC3hMCGPh6likZhv9iXqVdfFVYp10ejc+62P4rUtcoUyQb/ngttVqg5o0N4YX2joQiybkpPkVPrb5CtDBK1O9LOWQE4vLx2gJ/0vmHqIsH3p3vvF2hOyGjA1H2U3Ryzuw7KgWFR4vecnQR1VQcfEY4RQSpHLl7h26+KG1BzLPMZAfg9hqxFL/8V7u6V78ZlRspUxDqcewmfEqPV2Lvr1idXD1G0affL+s1CmbrAh1MyGUDMAm7RhvvzzDBVVwMU5fQPjfIVKlcZokCoV1gWalzPkVaHZn+Cdra/lWLaXfVNHGSslqboOaBpe3WZzaB1bIuvpDLRg6nMPyRRiMTQ1/bWcx7sSSfJTiCtUxa3w1PjzlNwyzd7GM1VtPsNLs6+B4eIYT008T3ugBa9x4aSPEC/Xn01zYGKUxmD4gtPUfaZFjS/Ac8P9vKa1k6j34qaL1geCbK1L8Ex/H1Gvd9YqzbFcjrpAgG2J+jn321IfpbOlhoMnhwn47Avud3g8TX08xMb2ukW/BiHGcjn2j4wwkc9TcVxCHpsNNTWsr6mZdZDXfCWL+8hV+glb69Fe3vtN0/CbzWQqJxjLP0PI6pTBfeKMsNVE3LOO0eJhamrbqW80GOx38Da8/D1eUXHz+IwoXiNMNlfG67HYvnHhQ2oK1SmG8vvwGbFzEp9nC1p1TJa6GcjvpsbTIf9mhThtU0Mt6wLNHMwPUwjkCKjwedsUK1V0XSMU1AiaATZcohVfq13ICnBt7Cp2RDYyWpqg5JTRNZ2g6SduR+R9RYjLhCQ/hbhC9eYHGStNUu+pmfFDvdaOM1QaoSfXf0mrP8Xl59DEKNlKmebg+SfaZ4v7fJxITnJocoxXNLVd1DE1TeO29nUcm5igeyrFuujMJ6uThQL5SoXXdm0g5Jk7qa9pGnfcuJHRySzdg0maE2Fs6xcfnVXHZXg8jWUa3HXzJrweWQ4lFm4sl+OhY8fZOzLMVLGIqetoaFRdF9swWBeLcntHBzsbGxd9EaaUw0TxeSwteF7i8yWapuE16kiVj1JyxvGakswX0zRNY13wZlLlfrLOEJuvSjA24pCcdIjFX/r3pCi5OXTNJGq3UixVGR5Pc8OONprrows+5njpBEUnTdyePSHjN+OMl05QcJL4Tam+FwKme+3eu3MbE7vGGCgcw/GkCGlhNDRcpciVKpSdKvU1Hixb4/rYNuKe6EqHvaJM3aDJJ32vhbhcSfJTiCtUtprHVe4FJxaaugEKMtXcMkcm1rpsuYyONmeSxtB00CBXWZohQR2xGO/evp1v7d/HkYkJol4PEY8XXdPIVSpM5PPYhsHrujbw6nXzH5DRUh/lnffs5AeP72dgNIXrKixTp+pM97+riwe55xWb2NbVuCSvQ1xZBtJp/uHF3XRPJakPBNlcW3vO306+UqFnaop/eHE3U4UCr+lcXEWmo0pU3Aym7p91O1P3U6omqbhZvEjyU/xC3NPBluibOJz6EYGGXrZdH2LfLovBwSr+oIPtL2FqHsL6OibHdcqVFFdf1czrb9+Kri/832zZzYGmzTnd29S8FJ00ZTePH0l+CvGSDQ21/Mcb7+DbB7wcKR1iRB9FUwaa0vHYBnVBm5ZomBvj27mhZsdKhyuEEJeUJD+FuEKZ2i+GF8x0Ia3U9JxN4wIVQkJciGUYKObXTEYpNe8J7fOxLVFPzQ1+nh8a5LmBAUZzOQwtT8Sb55WtdVzTsJOr6uoXnDxqa4zx4be9ghN94xztGSNXKOGxTda31LJxXQK/98oaEiCWRqZU4pt799I7NcXGmpoZ/xb8lkVHLMZoNsf3Dx8h6vNxbdPClxBrGGgYuDizbueqKhr6BatDxZWt3ncVAbOW4cIBgpv3EQjl6D6uMdxvURivx2uEyds+GhNhrt3awtWbWxY9CE7HADX3Z4nCQdN0dLmsEeI86xM1/G7tmzgwcg17Jk4wWBlE6VUaQmE2htexIdROjR2Vpd1CiMuenCUIcYVq8tUTMP2kq1kiVui87+ecPD7Dy/+fvf9qjitL03TBZ2vX2uEOral16IiMjEgRqUp0VVZnZVWL0+Kc02YzPfMH5nZ+wFzNzdiZOed0VVd3VVZnVWaJ1CIyMkMHtQAIQmvAtXbfYs0FGAwyCOEgQRIg92NGs7CAY+/lcN97r/Wu73vfHm/6CYzO5SDTEwwhSzIt297S8xM2Kj4NRaU3EN7T83cGg/x+8DBv9PcwV/wxVfM8klTBo3owtFtUzW8S0Ed2fVxdUzk6lObokHtNuOwNF5eXmczmGInHdtwE6Aj4mc7n+fXUFKfS6V17gCqyQUgfZb3+IR5l6+Tkpp3Dq3bgVd3vucvmBLQkI9qb9Ade5ly8AqegXIRiyca2BT6vRk8qgqo+nIAe0rtQJA3TqW/p+QlQtwsE1Dh+NxHcxWVTZFniZGcvJzsfLHjMxcXlESNEW5t9e3q+Z5C9K7dxcXE5UET1MEeCIxTMEjWrfs/P6naDTCvPaGCAhOG2kLnsjqOxDroDQZYqpS1fI4RgqVJiOBJjKPJovmMV89dY4jcEdJWIZxBdSVBpTTJf+isa1vIjOaeLS7uYts0H8/N4NbVtITMdCDBbKHIrm32gc8Y8Z5Alnaad3/TnllPHFjUS3udRJLea2WV7NNmDX03gVxOk4wkOD6Y4NpJmoDv+0MInQFTvI6L3ULHWEFss1CynhenU6fKdRpFcz2UXFxcXFxeXzXHFTxeXZ5hXE89xKnKEolVmrrbIUn2Vudoi+VaRY6FRvtjx0lPZBmNaNmNL63w4Oc9HkwtMr+VwnGdzB+xR4FFVvjl4GFWWmSsVsB3nnp9bjs10MU/Y8PDNwUPIj+A7ZtoF8vUP0OQIhtqBLGmosg+/NkzTXidf/3jPz+nishsWSiUWS2WSfn/bv+PVNFq2zUTmwcTPkD5Kp/+LtJwCVXMe22kCG63udWuFmrVAzHOWhOfFBzq+i8teIksKh0JfxqOEyJtzWE7jzs+EEDTsEkVzgZTnCN2+009wpC4uLi4uLi77Hbft3cXlGcZQdL6aep1joUNMV+epWBX8io8Bfy89vvRT5/dp2Q4f3Jrng1tzLOZLOLdFOUNVGeyI8urhAU707N4P0uV+znZ04giHH07e4FYhiyYraIpCy7KwEXT5g/zJoROMRhOP5PwNawXTKeHX7g02kiQJVQpQNScfyXldXNqlYVq0bBuPurupmCbLlFvNBzqnJEl0+b+GrsRYr71P1VpEWBYg4VGTdPi+QNr3OopsPNDxXVz2mqjRx6not7lZ+gWF1iKOMAEJEOhygF7/cxwOfXXbtniXh8MWFkv1RWaqU1SsMrqs0+3tpc83gE9tf/Nmv9Jymqw0piiZWUAQUKN0eoYwlO3D4fYrQghMx0GSQJOfrnm8i4uLy8Pgip8uLs84iiTT6+uk1/d0J1VbtsMPP7nOb8dnMFSV7mgIQ9u4BVYbLSZWskyv5/mDc8d47XD/Ex7twUeSJJ5P9zAaTXA1s8q17Bo1s0VINziRSHM80YFf29u2WtNp0bCr6LIHSdKQJAVHmPeJ+AITWfLs6bldXHaLLEvIEjhC7Kr62UHs2u/zbiRJJul9kbjnLBVzFsupo0gafq1vxyR4F5cnQczo58XEvyPXnNkQQLHQZR8JYxi/mnA3LB8hFavMO+u/YqE+hyMcNFnDFjYTlXEiWpSX419gwD/0pIf5wCzUbnK1+A5FM7MRAAogQVCNcTT0MgP+kwfm++UIwZXcEh+uzzNXySMBRyIdPJ/s41A4+aSH5+Li4vLEccVPFxeXZ4IPbs3zztgMHWE/Ie+9wpffozPoibFaLPNPF26QCvsZST+aisRnjbDh4bXufl7rfnSCsuWY3CqfZ6Z2hbpdRZN1erwj6HIHDWsZnzZwZ/FiOw0c0SLsOfXIxuPi0g4RjwefplNpNol426taE0JgOQ4J38NXW8mSRugBgr9cXJ4EsqSQ8AyT8Aw/6aE8MzTtBm+v/4K56gwdnhT6XRXhjnDINNd4Z/2XaLJGt/fgBeks1W/xce7HWI5JXO9CkTaWxY6wKZkZzud/DkgMBk4+2YG2gSME/zh3jV8sTeAIQUT3YgvB71ZnuJBd5I8GTvJaanDnA7m4uDwRJLHx73Ge71nE9fx0cXF56jEtm/dvzeHR1PuEz7tJhYPUWiafTC8+xtE9PdRaJmvlCmvlCrWW+VjOKYTgSvE3XCr+ioZdwysHcByHG6WPWDKDSJKXinmThrVMzZylZs0SNk4TMc4+lvG5uGxFh9/P0Y4O1mu1tn+n0GgQNjwcT3U8wpG57HeEELRsm6ZlbRkE5OLysMzUplmozZH2dN4jfALIkkzSSFGza1wpXDxw30Nb2Nwovo/pNInpnXeET9gQ2iN6CgmZsdL7tO7ymt2vXM0t88ulCaK6l5FQgoTHT4c3wKFwEkWS+YfZayxWi096mC4uLi5PFLfy08XF5alncjXLUr5EdzS042sTAT/XFlbJVWrEAm4L6E4IIZjPF7m0sMyF+SVqpgUIvJrGmZ5OTvd00h+LPLK2sZKZYbZ6lYASxadufL6G4sOj+MmZawwGvo6HVaqtKRTZR9g4Q9RzDsX1h3N5wkiSxPPdXVxYWqLUbBIytvfZtB2HlXKF1/r7SAUCj2mULvuJcqPJ1ZVVPppfJFOtAYKgYfBCXw8n0ynifveZ5bI3CCGYKI+hSAqqrG36GkmSiOoxlhuLZFrrJI2Dsymz3pwn11omrCW3nJ+EtDjZ1hLL9Sn6/cce8wjbRwjBh+tz2EIQNe6/B6S9QW4UV3h3bZxv9IziVQJbfqYuLi4uTzOu+OnicoAQQrCYK3FrJUOjZaFrKiOpOL2J8IHxJHoSlOpNHMe54/G5HX6PTjHfoFRvuuLnDtiOwy/HJ/nl+BTlZpOoz0vkdmVttdXi52O3eHdqjjcPDfHW0ZGH8inciry5StOuEzLu9bPSZANH2NQdieHwv9zz87q47AVHk0le6+/j11PTEGJLAdRyHKZyefoiEb42OvqYR+myH7i2ssr3r1xnpVzBUBSChgGSxFqlyt9cusrPb07yzaOjvNrf584HXB4aS5gUzTw+ZXuLDY/sJe/kqFilAyV+1qwiDjbaNuFuG9Wggpq9vysmLeEwV8kT1jfmX6ZtU29ZSJKErJhU7Cz51gq/XJ5DUj7Ar4YYDBynz3cYnxp8wqN3cXFxeXy44qeLywGhVG/ww49ucGNhlWrTvJ11Cl5d5UhXB3/4wjGiAbeabVMkaLcj61PD+90EkDyLCCH45fgk/3z1JiGvwaHwvaETfkMnGfCTq9X5yfWbAHzj2OieL8ol5I3gXwS3/+MeZNfdxWUfo8gy/+LoUUDid7OzrJQrdPj9BA0dSZJoWTZr1So102QwGuXPT59yqz6fQa6trPFfz1+iYVmMxGMod20kxX0bfn8r5TL/4/I1hIAvDLqhfS4Pi4SEhKDddvaDNmfaGK8QYvt5ifjstfsVCQlJkmi2TCaKOZYKFeqmheW0cJQKoUALWZcwZC9exU/VKvJJ7hfMVm/wUvwbRHQ3DMnF5Ykjbv97nOd7BnHFTxeXA0CtafLXv7vE1blVOiNBuqIhJElCCEG12eL89CK1lsm/feMsAc/2rZPPIomgH0NTqDVb+IztE8ZL9QZBj0HU7wrJ27FYKPHL8SlCXoNEYPPKEEmS7rRh/vrmFEfSSQbj0T0dR8LowasEKVs5QtpnIVV1u4ImGySMnj09n4vLXmOoKn9y/BhHO5J8srjIjbV11mtVhABNkekKhnipt4cznZ2EPVt7Frs8ndRaJj+4doO6aTIQjW4q1MiSRFcoxHKpzI/GbjKaiJMKuiK5y4OjSipJI8VMdZKQFt7ydVW7glfxEtVij3F0D09YS6BJBi2njqFs3uVjOS1kSSGs7e8ATFWW6fdH+e+TV3BMGY+qoGvQaFVoNm3qDQPNI3gl7cOjbPxzhM1ac5EPsj/hjY4/xrNDha+Li4vL04Arfrq4HAAuzS5xfX6NgWT0ntZtSZIIeAyGOmKML65xfmqRLx4beoIj3Z8MJKIMJGNMrmYZ7Nh6gi6EIF+t89bJUYJeV0TejosLy1SaLUbD8R1fG/N5mahUubSwvOfip18NcST4EleKb7PenMcj+2k5DRxshgNnXfHT5UCgyDInUylOdHSwVq1SqNexHIFP0+gOh9AV5UkP0eUJcX11jeVSmYHozt7J6WCA8fUMl5dXeCs48phG6PI0IkkSI8HDzNSmaNh1PMr9G8KOcCi28hwJHSei7+2z/VET0ztJenpZqt0iKfciSfd2iQghKJhrRPUUHcb+r6Q2a1Cr2wS8CgFDp2IVkGSLoEen1HRo1iVoffYckSWFpNHNenORhdotRoKnn+DoXVxcXB4Prvjp4rLPsR2Hj28tYGjqlp6Vmqrg9+h8dGuBVw71o6nuQvluZFnitcP9zK7nWStW6AjfXxEjhGB2PU8yGOC5we4nMMqDQ8O0uDC/RNjraauNXZIkoj4flxaWeevoCH59++rb3TIafA6/Gmameo2CuUpC76bfd4w+/zFkyW17d9l/tOwWC/UV6nYdSZKJaiFSniSyJJMKBNzWdpc7XFhcQpEktDYEcEmSCBoGH80v8ObwYFu/4+KyFX2+fkYDhxkrXyOkRgiowTvP/KbdINNaJ24kORU594RHej8tx2KivMxKPY/l2BiKxkCggz5fAlmSkSSJE+HXqZh51ptzhLQEhuzfaB+36xStdXxKkJORL+77cKBSo8FCvszhWJK1Zpn1RpmGXUUImYbk4NVl/JLKQt7kdJfnjq2TIiloksZ09RpDgZPufMnFxeWpxxU/XVz2OZVGi0y5Sti3fbtj2OclV6lTrDVIhNz2lc9zsjfNt84e5seXbnJrJUs86CNg6AgExVqTfKVGMhTgX750gs42UuGfZaqtFnXTJLBDOvXd+HSNfK1Opdnac/FTkiS6faN0+0Z39u9ycXmCtByTy4XrXC/dJNsq4AgHAF3W6PF2cipyjCG/G1jj8hlr1So+vX3xJaDrVJob92hX/HR5GBRJ5dXEGxiKh1vlcZYaC3d+pkkaPd4+Xo5/gZi+cwfI40IIwfn8FO+uj7HSKGALZ8MjX4ChaPT7k3wpdYLBQIqonuLlxB9yvfgua41ZSmYWAFXWSXsGORp6mQ5P35N9Q22wUq1QaDQ4Ek0y4ESZq6wzUymhySohXSOiq5iWIFezaZgCn/7Z88Wj+KmYRUynibFJda+Li4vL04Qrfrq4PDUI3PXy1kiSxOtHBklHQnwyvcD1hTWK1TpIEkGPwVdOjvD8UA9drvB5oHFFI5f9StNu8fPV3zBWvoVX8ZA2EqiyihCChtNktrbAYn2Z1xIvciZy3P0uu7i4PHF0WeeV+OscD51ivjZLw6mjSCodRpq0p3NfVQsKIXh77Rq/WL2MikK3N4Yuf7bUrVlNbpWXWWsU+ePelzgc6iaqp3g18UcUzDVKZgYBBNQIMX1/vbd2CWoGQ6EIyAsYsoEibWyAmNbjSTdpWhYTmSzZWg1NURiNx0lu4Qvv4uLyGZLY+Pc4z/cs4oqfLi77nIBHJxkKMJ8pbFv9yVQrGAABAABJREFUWahuVHzuVCH6LCNJEoc6ExzqTJApVynXm0iSRCzgJeR1/27t4td1fLpOtdUi2GbAVq1l4tM1AjsETrm4PK28l/2YG6UJ0p4khvLZdSNJEl7FQ7c3Ta5V4HeZj4jqYQb8vU9wtPufstngSn6RpVoBv2pwLNJJf2D/VKDtFR3+ANfKq22/vtJqEfYaeLX93arrcrAIaWGOh0896WFsy3h5kV+tXiWoeonp91uH+FSDQX8H8/Us/7j4MR2eMFE9sGHNo29Ugh5E0v4AEY+HfKNOhz+AJhuokoYlzDviZ6Ul6AqpeLR7N9UadpWYkUaTH97nfiaf52+vXGOuUMARAiEEIY+H1/r7+MbhQ6jywROTXVxcni7cu5CLyz5HkWWeG+6mZds0TWvT17Qsm1qrxfPDPa7fZ5skgn4GO2IMJKNbCp+lSp2LNxZ478I071+c5srNJar11mMe6f7Do6mc7e2iWG8ixM5bh0II8rUaZ3o697zl3cXlIFBolRgvTRLRw/cIn58npkcwhcm14nhb19azynqjzP9287f89+mP+O3qLX60eJX/z813eH996kkPbc8519OJLQSmbe/4WiEE5WaTF3p73JZ3l2cKIQTnc1NYwt5U+PwUSZLo8cZZb5S4UVzY8nUHiZDHw3NdXWTrdVq2jSpphPU4ptNEAHXTQQjBoQ79jt8ngC0sTGEy6D/+0FWu2WqNv7xwkZl8np5wiNFEnJFEHEWW+PHNCX41+fTdm11cXA4ebuWni8sB4MxAF9fmV7kyu0JnJEjQayBJEkIIKo0WS4USR7o6ODfU9aSH+lSwminxybV5rt5colCq3/n/kiQRD/s4dbSHc8d7iYV9T3CUT5bT3Wl+NzlDplrbsaUpV6vj03VO93Q+ptG5uOwvpquzlO0qffrO9+iIFma2ukC2lSdhxB7D6A4ev1oeZ6qcYTiYRJVlhBAs14v8aOEah0IpYsbT02Z5LNVBVyjIfLHIYDS6rR3CcrlC1OflVGf6MY7QxeXJs9ooMlleIaEHd3ytLEn4VJ1PclO8GB9FlQ/+RsGXh4ZZKJW4urZKyPDg1WI4Tob5UgVFGBxPexhKfLb5bAub9eYiSaOHbt/IQ5//wtISS6Uyo4n4HYFVliSSfj+24/C72Tle6e8j4G6Au7i4PEFc8dPFZQ8xbZuFTJF6y8TQVPoSkT2pxPTqGt999TQ+XePa/BorxfJt8RN8hsZzg9384QvHCLTZguyyNbdm1/nBzy+znqsQDfkY6I4h327VsWyHXKHKz383xtjUCn/81mm6U5EnO+AnRHckxJcPD/OPV8cBSPh99y3KhRDkqnUK9TrfPN5Dwj9GobYOCFQ5jlc/iSKHn8Do9xer5QqXl1eYzm2EMyT9Pk51phmOx1AOeJtY07a4nl/lRn6NcquJT9U4Eu3geCyFT312FkG5VhEFuS0fT7/iJdcqUDLLrvi5CVWryfXCMnHDf6eNUpIk0t4wk+V1JsvrT5X46dU0/ujEMf7y/EVm8gX6IuH77guOECyXyliOwx8cP0YquHXlm8v9NG2Lsew6F1eXWatVUWWZ0Vic0x2d9ARCrv/uAaBgVqjZLdKeSFuvD6peymaNqt0kLB/8jeyQYfDvzpzld3NzfLS4QL7RwEcXun+ZrliVYykHS0hYtqBmV2g5DRJGNy/Gv45Hefj3f211Da+m3lNZ+ikJv5+ZXJ75QpGjHcmHPpeLi4vLg+KKny4ue4DjCD6eXOD98VkWcyVMy0ZTZNLREC8f7uPF0d6HFjGCXoM//8IZlvNlJpYz1E0Tj6YynI7TEwu7k/M9YGElz9//7BLFSoOhvsR9kzhVkemIB4lH/cwu5vi7n17iz//geeKRp2eh3S6SJPGlQ0NIwM/HJhlfyxD1evEbGz5ztZZJvlYnYOj8i1MVRpPfYzG/TLFWp9po4QAeLUkq/A2Gkr+PLO//x1Gp2mBsbo1MoYIiy/Snowx3Jx54g8NyHH42Mcnbk9MUGw08txcOV1dW+d3MHEdTSf701EkiB9SPdqqU5XuTl5krF0ASaLKK6di8tzpLlz/Mt4dOcCx6MD3Wdot4gEA6B7ftfTMcIXAQaNK9150ECMAWzhMZ16PkaCrJvz53mr+7cp3JbA5NUQgaOiBRM01qZou4z8cfHTnKy/2uV+xuWKmW+W/XL3OrkAMEXlXDEYKx3Dq/npvmCz39/N7QYddGYJ+z4RKyu3um+OwXnwqChsE3Rkd5Y2CAfKOBBOhak6XGTWarN6jbVSQJglqUQf8J+nyH8Kp7s1FiC2dT4RM2KkAFG/duFxeXLRDs9hb28Od7Btn/q00Xl32OEIKfX5rg55cnUGWZdDiAoam0LJv1UpX/8d4VMqUqv/fcUWT54QRKSZLoioXoirmJ5HuNEIK3P5ggV6gy2JvYVkxWZJn+7hjT8xk+uDjNt9488RhHun9QZJkvHx7mcCrJpYVlzs8vUao3AfBqKl8/Osqx9BSa/FsyZZObSzp1U0VTFCQcVDVLofp/kinleXH4392psN2PXJte4Z/evc56oYIkgSNAU2SGuxN8+41TxEK7q5wQQvCzm7f457GbhD0eDifv/c5VWy0uLC5j2Q7//vlz+PSDFV6yUCnwF+PnWa2XGQhG0ZXPphumYzNXLvCXN8/zH468wGg48QRH+ngIqgEsZ8N3baeNqobTRJc1AntQjfM0ElANBgMJPsnOYjkOptj4u9asFoai0ud/Oqtlj6U66I2Eub6yxofzi2SqVYSAdDDAC73dnOxME/N5n/QwDxT5Rp3/cvUCk8U8g+EIxl33KSEEuUadn0xPICHxhyNH3E3mfUxA9WDIGnW7hU/duQuqZrfwqTreNl570PBq2l2BZ0HingRHQs/RsGu3A/YCKNLeSgCj8Ti3MrlNn3G5Wo2wx0NncGdLAhcXF5dHiSt+urg8JJMrWX59bZKwz0Ms8Nli1dBUeuJhitUGv70xw3A6zrHezauchBAsZUpcn1llNV+mZdp4PRr9qShH+1NEg+6C5lGztFZkcj5LR7y9FjdFlomG/Vy5ucRrzw0TfkY/I0mS6ImG6YmG+fKRYarNFgIIGDqaXGal+H9QaUiMLSk4jiAW8CGx8fcVeDHtDCvFHzG2dJZjPWee6HvZioW1An/3m8s0miaDXZ+1ojdaFmNza3z/7cv8u2++sKsK0NVKlbenZgh7PST991cO+3WdoViUa6trXFha4rWB/j17P4+DXyzeYqlW5HCk475qEE1WGArFmChm+MncOMMn4ltWjDwtDPp7+SR3iapdJ6BuL2rmW0V6vJ10eJ5+UfhBWG9U0dGZrxS53FxGkWQcHEBi0Jfg/eU5ziYdBoLb+2MeRIKGwUv9vbzU34tp2whAk9uzU3C5n/eX5rlVyDEajd+XRC1JEnHvxrX6zsIMz6e76Q66G8/7lW5fjF5/gtnKGn3q9q3VQgjKVo2XE6PoB6DrZC/QZGNPEt234mx3F+/PLzBfLNITDt95pldbLTK1Om+NDLubMy4uLk+cZ+OO7+LyCLk4vUSzZdEbj2z687DfQ6Zc5fzUEkd7Ou5bpMyvFfj1xUluLaxTabQ2Wl9lCct2+GR8gUhgglPDnbx5ZoSQ/2C2vx4ExiZXqddbdCbbX9xEQz6mFzLcnF7jhVO7F6cy9SqTpSx1y0KXZbr8YfqDkT1byNasJiuNPKZjYcgand4YhvLoKgjvrTaAcv0itpNjtRilaRaJBbx3hE8ACQlVTiC4xa3V33C0+/S+XMSfv7lAsdJguDt+z/g8ukpfR4TJxQyTixmO9Lffwn15eZlSo8Gh5NYCl66qGKrKB3MLvNTXe9/ifL+yUitzLbdK2hfaUtSUJIkuf4jJUpbpco7hUPyxja9hN1isL1C360hIhLQQnZ4u1Ee4CE4acQYCvVwv3sQjG1sGbFSsKgLBsfChh07ffdoQQnA+s8jfTV8h06jS60mSMkwqdh2PrJHQgyio/GzxJu+uzfLV7lHe6jl04H1zt+JRtGE7QjBTzHMrn6NumRvdLP4gxxNJPOrBqj7fibpp8uHyAmHD2PbeGvN4Gc9luLi27Iqf+xhZkjkbHWK6skrFahBQt54vrzWLhFQfx8MHa1NxP9MTDvOdkyf4u2vXubmeRZElHCHQFYWXe3v4xqFDT3qILi4uLq746eLyMDiOYGIpQ8i3vSgZ8XuZXs3SNG08+meX3cTCOv/j7StkilVSsQCdn6s6dBxBvlLj7YtTLGVKfOdLp4mHnj1/ycdBvlhD05RdiW+yLCFJEuVqY1fnWqmV+fXiFBczSxRbdWDDD8mrqIxGEnyxa5ATsQdP6823KlzI3+JKYYZcq4wjBIokk/SEORMZ5nR0kID66Hfgm9YUoLFeqmNoyj3C52dIyJKfSnOMarO1J6Fd9abJ2MIa06s5GqZFyGtwuKeDwVQMVdmdEGLZDjdmVgkHPJt+NwxdxXIcZpZzuxI/J7N5PJq24/ct5vOyWqlQrDeI+w9GG/RyrUTZbNLp277FLaAZLFZLLFdLj0X8bNh1rhSvcLM8TsksAhuWR4okkzQ6OBo6xuHgkUciOkqSxOuJlyibVeZri0T1CEHVf+fztxybglmkYTd5LnaKw8HhPR/DXmI5Dg3bRJFkvI9JFPt4fYG/nryAEHA4nNzy2unwBsg2a/zD7HVMx+b3+4/ty02V/catfJafTt9iIpehZpl37teyJJEOBPhCdz9f7Bs8MJswO7FWq5Jr1Ej7t/c8lCQJr6YxWcg+ppG5PCinIv3M1dZ5P3OTmOYnogfu2YCzHJu1ZhFHCL7V/Rxpb+TJDfYp5ExXJ72RMFdXV1krVzA0jUPxOCOJ+yurXVxcXJ4Ervjp4vIQ2MLBEWLHlk1FljBtB+euIIalTJHv/+YKxUqdkc9VlH2KLEvEQ35CPg+3FjN8/zdX+NdfPYfP8+ykJD8uLNuhZdks5oo4jsCra8SC3h2FEAHYTvuu0bPlPH8xfp65SoGk189IeCNYSQhBxWxxNbvKZDHLnwyd4NXOgV2/j+V6jr9feJeFWoag5qPLm0CVZExhkWuW+eelD7lZXuCPel4lqj/aRGAhLBASgu2vEQkZSbJ39XfcimtzK/zo4zFW8hVAoMgypu3w22vTDKbj/NErJ0hF2n/fjrNxjW9XPSaxIQbtBtvZOhzg3mNLCHGwQlxsRyBBW4KTJIH9GEIQalaVX679gtnaDH7FT8qTRrkdmNNyWmRbWd5e/xW5ZpaXE6/e+dleEtQCfKvzy7yXPc9UZYb5+tLtn2zITDE9wkuxc5yJHt+3VZ9ls8EnmXk+Wp+l0GqgSBJHIimeS/RyKHR/Z8NeMVfJ8/3pKwgBvYHItq+VJImEx48iSfxscYK0L8QLHW4I0HZcXV/lr65fIt+o0xUI0qt9FqJo2jZrtSp/O36N9XqNPzl8/KkQMhwEQrR3n5IlaU+eTy6PFlVW+L2u5/DKOp/kp5iqrKIrKqok03JsHOGQMEK8mTrB2ejgkx7uU0nc5+ONQfdv6+KyWySx8e9xnu9ZxBU/XVweAlWWSYb9TK5kSbB1RWa53iQdDeK5qyX43aszrOerjPRsLnzejaYq9Kdj3Jxf5+r0Ci8e7duz9+ACTdNiYjXD2MIamldFkjYWRGGfh0NdSSL+zaskhRAgBB6jvVtpqdXgryYuslQtcTiSvEf8kiSJoG4Q1A2WqiW+P3WVmMfHkWhH2++jbNb5weJ7LNVzDATSKHcJKLqkkfbGMB2bW5Ul/mHxfb7b98YjbYNXlRRIHxP0hFkvVfFtodk7oobEKH7j4UT9G/OrfO+dyzRMi76OyD1tofWmyfjiOv/t7Qv82y+da7uCWlMVUrEgEwvrm4YaOY6DEJAI705ITgb8jK2t7/i6aquFT9cIGgcnlCFseFBlmbplblsVaDo2EhJh/dHaeTjC4beZd5ipzpD2pNHke8ekyzodRgc1q8rl4iWCWpBTkTOPZCxBLcDX0l8k3zrNbHWj9V6WZMJaiAF/Lx5l/37O2UaVv5z8iJvFNfyqTkDzYDk2761NcyG7wO/1HOeNzpFHIoB+vLZAoVnn0C7CsaKGj0Kzwe9WpjmX6H5q298flrVqhb8Zu0Kl1WI0ev98RFMUuoMhSs0Gb89Nk/IHeLPv4IsbId3Aq2pUWy0M7/bP8IZl0rFDhajL/kCTVb7edZYX4iPcKC0yU1ml6Vj4VYNDwS4Oh7rbCkRycXFxcXn6cGeCLi4PgSRJnBvqwbIcmqa16WtMy6ZhWjw/0nsn7X29UOH6zCqJiL/thaKuKuiqwic3F7Dsg1MFtt8RQvCj82PMl0ooskzYuxFcFfQYFKoNrs2tUm22Nv3dar2F19AY7GmvZfdydoXZUp7BUGzbqr8uf4iqZfLu8uyGwNomN0pzzNcy9Pk77hE+70aTFXq8SW5VlpmsLLd97AfBp59Gknx0Rjbea8u6/xpxnBqWAz2x13bdkn43LdPiJ+dv0miZ9CUj9/nheQ2NoXSM2dU8v70x0/ZxJUni3KEeAMq1e+0NhBAsZkokI36O9rcvUgOc7kyjyDJ109zyNUIICo0Gz3V33eOlut8ZDMboD0ZZqZW3fd1avULaF+RIZPtwiodlrbnKXG2WhJG4T/i8G5/qx1A8XC9do2k3H+mYonqYM9HjvJJ4npfi5zgSGtnXwqcjBH83e4mbxTWGggl6/FEiupeEJ8BoqANDVvmnhWuMF9f2/NyFZp3zmQWihnfXwmrKF2CmnGOy5LYsb8X51SVWqxUGwtv7TYcMDx5V5XcLszQ2uZcfNOJeHyeSKTL12rbP2YZlIksypzse3IrG5fETM4K8ljzCvx58g/84/BW+2/8FzsaGXOHTxcXF5RnGFT9dXB6S430pjvZ2MLOep9q4VySrNVtMr+UY7UpwauCzifP4/DqlWoNIYHcVT8lIgPm1AnOr+T0Z+9OGIxxKZo1cs0TVas+Hc61Y4fzkIr2dUaJhH/X6xmeoKjJRv5dyo8lyrrTp72byFQZ64nSnIjuex3Yc3l+Zw1DVtloGO7x+rufXWN5BQPoUy7G5mJ/Cq+hbCp+fYigaEnC5MLUrcXW36OoAPv0MIW+OnrhOpdGiVG9g2jambVNtVpCkBQz1GGcGXn+oc00sZ1jMFknHQlsu4BVZJhbycXlqmUK13vaxTwx18vLxAbKlGrMreXLlGuuFCpNLWQxN5VuvHCMc2J2H6kgiztGOJHP5Ai3bvu/nQghm8gWSfh/P9XTv6thPGlWWeb1zCAGs16ubvibfrFOzWnwhPfDIg1Qmy7doOS28ys6fUVgNk2/lma/PPdIxPUpqZot8o07N3HzT5kGYreQYK6zS7YugbRLW1OEN0rRNPs7s/d9trLBGrlkj7tm9561P1WnaNldzK3s+rqeBhmXywdICId1oS1hO+QMslUuMZXeuWt+PWI7NzeIq35v5hP/XtZ9zvTrLQi3HhfVF6tb914vp2MwUCxyOJjgcbb/q2MXlYRBCsFQq8dOJCf7q0iX+4uJF/nFsjMlcDucx2MS4uLi4PK24be8uzzRVq8lkZZmq1UCRZLq8cbq9sV1Vl3h1je+8ehpNucrY4jqLuSKqLGM7Al1TON6X4o9fPnlPkEuhXEeWpF1XsXgNDdOyKe4yYOdpp2mb3CzPc6kwxXI9iy0cNFllJNDF8fAgQ4H0lh56kys5Ko0WI+k4Zk+EifFVGg0Tj0dDksCjqqwWKgyn720HXM9V0DWFF08PtPU5lswma/UKUaM9kSyse1itVVipleny75wwWzSrZJslwlp77dwhzcdiLUvLsR5Z67skyUT9f4oQFoPJ8wQ9NdZKEvWWja5U8ftlAp7nOdX3n/HqDxfms5gtYTsCQ9v+sRYNeJleybGcK21pZ/B5VEXm9145Rn8qyvmbC6zkyqiKwmsnBzl3qIe+VHTX41VlmT89fRLTdrixtrbhMevdqGyrNFsU6nUSfj9/evokXaHtg4P2Iy8keyg0a/xobpybhQ3hylBUWrZNtllFlRS+2n2IL3YOPfKxrDZX8cjtbTSpsoqDoNA6WBtMtuMwlsvwycoiY7l1LMdBlWWOxJI8l+7mSCzxUG3fM+UsddskoG1dNRXR/YwX16hZLXzq3vlSl82NKtydNnW2wlAUcs3ano3naSJTr1Fo1En42ntu6IqCLQRrtc03NfYzi7UCfz97gelKFtOx8as6iioRD2lMZrLMVvIMhWIcCncggFyjRqXV4nAswZ8dPXVfN4GLy6MgU63yj+PjXF9bo9xqod2+b5uOwy+nphiOxfjW4cMMRnc/73BxcXF51nHFT5dnEsux+e36dc7nJsm2NoJRADyyzlAgxZfTp+j0xto+Xtjv4d+++Ryz63luLq1TbbTwGRojnQkGUzEUWWatXuFmcZ2WbTNRyODwYLu3EhsLXZcNSmaNf1x6j/HSAookE9ECKJJMyzE5n7/F5cI0L8YO85X0OdRNKpbM21V3kiSR7gxTr5sszOWwLQevT0eWJWzhIIRAkiRM02Y1u1GN+fXXj3B4sL12Z8vZCLySN008vx9Jkm6HwbT3WTtC4CC2SFTf5PjI2NiPPEhHkQPEg/8ev/E8fuMjOkLTNEwLWUoRC7yGTzvF9FSJtbUxJAnS6QiDg0k0bXcLTdt22nrnn9oNWPburj9VkTkz2s3pkS5alo0iSajqwy2GYz4v/+GFc5xfXOKDuQXWq1WEEPh0jW8cHuX53m66QjsL3/sRSZJ4q+cQvYEon6wvcD2/SqHZQJVlnkv28HyylxOxNLIk4QhBzWo9suRwS1hIuxDOJJ5cwJTp2EyUVpmtblT4JIwAxyKdBLWtxduGZfF3E9d5d3EO23GIej34NY2WY/P+0jwfrSzwSncf3x49jkd9sGmfKXYO6NJkmYZt7jr8ayds8aBPyw0kJFrO/dXVLhvhZI4QKLvYiD2Ic5DFap7/Mvk+K/USPb4I3rvE+bQ3TH8oylgmw3Q5Q7nVpNcfJeHz883Bw7zQ2U3YeLS+xC4uAKuVCv/nhQtM5fN0BgJ0BYP3bK5XWi2ur6+zWqnwr8+c4XDiwaqRHUcwv1agXG3gMVT6UlH0HTaOXVxcHjECHmqy8yDnewZx73QuzxyWY/PPS5/wfnacoOqlz5dAlRWEEFTtJteK86w3S3yn7zW6fe15OcJGMvtgKsZg6l7RtGlb/MP0dd5fm6XYaiBJEtlMhWq+RSBq0OlrX9xwHIGAHavbnhVatsk/Lr3HjeIcvd4k+l0VjH48RPUgZbPG77LXUGSFr6TO3lelGfV7kWUJ07LRVIXBoQSGrrC4WKRUrFNrmUQCHlazZRpNCwlIJ0O8/sIwpw53t12961M1dEWlYVsE2dlzynRs5F2IQR5FR5dVmo6Jr43jNx2TgGo80sCjT5ElHZ9xDp9xDiE+9bhUmZ/P8bc//oil5QLidpKuosr09MT41rdOk06F2z6H36MjEHdE6q1omBaaqhDwPFhlmiRJe3r9BQydLw4N8Ep/L/l6HUdA0NDx63tXOfekkCSJo9EOjkY7KLUaNGwLQ1YI6R6k26LnJ5l53lufZrlWQpEkjkXSvJYaote/d1UtftXfdiWnELfvsU/Af3OtXuJ7M58wVclgOjbclvNTniC/33uS07H7E8sdIfj7iev8em6armCQkH7vuBNeP6VWk9/MzyAj8adHTu4oYm5GRN+okraFs2UFZtlsEvf49rTqE0CX1Ta3dDbHEg6BPR7T04JX09AVZePabEMYF7c32R5URH8StGyLv509z0q9xHAwuen3P+n3kfT3sVots9ao8vW+Ib7UdehAvU+Xg41p2/zNlStM5/OMxmKb2iMFdJ3RWIzpfJ6/uXKF//zyy8S8u7PcmV3J87MPx5ldydE0LVRZJhUP8ebZYU6NdD2SwDoXFxeX/YLr+enyzHGjNM/HuQlSnggdnvCdakBJkgioHgYDKdabRX66fGFPqn/+ae4GP1kYR5NlDoUTHAonGEzHMYXD5fVl1uuVto9VqNQJ+z30JNsXhZ5mxssLjJcW6Pmc8Hk3Qc1HVAtwPn+TTOt+785DXUk6oyEWcsU7wll3b4yzz/XRP5IgEPYw3JMgFQ9y5mgP/+oPn+d//e5rnD7Ss6tJol/TORFLkWu05zW5Vq+S8gYZCbUnwAc1L6PBbgqtnb9PQggqVp0T4YEHbiV9UCRJQ5I0MpkKP/jheZZXCnR3RxkcSjI4lCSdDjM7m+EHPzhPqdS+L+fh7iRBr0Gxtr0lxHqxQm8yQm8y8pDvZG/RFIWOQIB0MPBUCJ+fJ6R76PAGCN8OrRFC8Iulcf5y8iMmSxn02/fh36xO8r/ffJ/p8t4F1Az6h7CEhdPG/bxu1/HIHrq9j9dntWo2+W/THzFeWqXTG+ZQKMWhUAfDgQRFs873Zs5zq3R/mNBsqcAHywukA4H7hM9PCekGaX+AD5bnmS0VHmh8RyMp4oaftfrmHsSWY1O1mryY6G/L03g3dPlDaLJCzdo6HGwrHCGwhMNAsP1OjmeJpNfHcDTOeptt7MVmg6BucCh2cPwvx0urzFRy9Pu3DxoESPmDBA2Nmdoa+kME8Lm47Jab2SwT2SwDkci291BJkhiIRlkql7m8sjsv46VMkb/++QUm5teJh3yMdCfoSoTIFCp8/+3LXJl8tCGYLi4u2yCewL9nEPfJ7vJMIYTgYn4agIC6eRuTLEmkPVFma+vMVR/O1H+lVuaD1VkSHh9xz2fJ7smkn46Yn2q1xUw513boTLZU48RgJ9Hgw/kjPg0IIbhSmEKRpB2rFyNagLJZZ6x4fxiHR1f5gxeOEvJ6mFjOsF6skK/UWcqXsHWJb3/jDP+P//R1/tOffYHvfPMsx0Y6MfQHqwZ5vqMHQ1EoNLcX9Vq2TanV4KVUz67CYE6G+9FklZK5/UI22yoRVL0cC/e1fey95vLlOdbWSvT2xu9pcdd1lb6+OIuLOW7cWGr7eB2RACf6O1krVGiamycRFyp1bEfw4qHeh0qWd3l4VutlfrU8QUAzGAzGiRo+Ep4Ah0MdrDcq/GxxbM/CuAZ8A4S0MLnW9oKqEIKcmaPb10NCf7QJ9J/namGJyXKGwUACz133M0WW6fVFqZgN3l2/P6DswuoSNbNFeAvh81NCukHdsji/2v41dTdBzcOXOg9Rt02Wa8V7NgarZpPJcoaRUJJzifurUx+WkVCC/kB0S+F1O7KNKlHdy8n4403qdoTgVi7LT6dv8Q8TY/x48iaXVpdp2vsrJV2SJF7s7AGgukNAliMEK9Uqx+JJugIHx4f4fHYOEOhKe8/tDk+Q6UqWmcrebcC4uOzEJ4uL2KK9qmpZkvBrGh/Mz28amLgV71+dYT1fZqgrhu9294uuqfR2RLBth99cnMSyXIsQFxeXpxe3n8PlmaJo1lioZYjqgW1f51MNlus5FmoZBgOpBz7fRHGdktnkkO/eKglFlUn3hMjn66xXq1SiLYLbBElYjs1qoYLXUDk90vnA43maqFoNFutZwtr2nyVsLPC8isF0dZnXOXnfzw91Jfn3X3mej2/Nc21uFctxGEhFeW64hzNDXXeCDipmk5ulNapWE1WS6fXH6PaF264AHQkn+GLXID9bmEAIQeR2FdzdNCyTmXKB49EUr6T72zrupwwG0rwcP8I761cxHYeYHrjn+I5wyDRLNJwWX0udI+V5Mob5tu1w/cYSodCG5cDnURQZj0fn+vVFXnppuK1jSpLEt54/QqXe5MrsCj5DIx70oSoKjZZJplQFJL50cpjnhnv2+B257Jax4ipFs8Gh0L0ioyRJpH0hJssZVuolOn0PX+XuU/28EHuR36y/TbaVJabdH2pnC5u15ipRLcpz0ecfe+vf1fwimixvmqQuSRJxT4CJ4ipFs07krnCwG9k1QsbOSd2SJBHUDcaya8DxBxrj6+lhBIJfL08wWcqAtCEYexSNk9Eu/mTwDGF9dy2Y7aDKMi+l+rhVytKwLTxtili245Bp1vhq9yhR4/FtGF5dX+WXM5NMFnI0LHujZV/aCGzqCgZ5vWeA13r6HiqAai85kUzxfLqb9xbn6QuH8Wv3V57bjsN0MU/aH+CtwZED0xprOTazlSxh7bPvpSME+Vqd5WKZYr2BIwR+Q6czFCQR8ONTdZp1i9VGmaHg490EcXk2cYRgMpcjYrRvtxL1esnUauTrdVKBnefBlXqTsdk14mH/ptdvKhpkOVNifq3AYFf7ll8uLi4uBwlX/HR5pjCdjYAXVdo5qESSJEzxcDugTdtClth0opHuDZLP15mdzVOuNQiG7530CCFYrheYLK2wXCxitxwSowo/LsE3gmcZDDzeSpb9hiVsnG385z7PRgjS1lU3PfEwPfEwv/fcUUzbwaOpd4S5lm3xi+VxPsrMkmlUN7wlAb+qcziU4us9R+n2RXYcgyxJ/MHAMWRJ4p2laVbrFSKGF0NWsISg0KwjSRKn4mn+fPQMIX13IQuyJPPl1Gk0WeHD7E2mqit4ZA1VVmg5Fi3HIqoF+FbnCzwfG93VsfcS07QxTRtNU2i0LArVOo4QeHWNiH/DD1LTFGr17SuRPo/fo/NnXzzD8MQ8n9xaYK1QwXYEuqow2pXg+dFeTg10biq4ujxeGraJxOb3RkPRaDlV6vbu25y34lDgMI5w+Cj3AYuNBTyyd8PXUwiqdg1b2CSNBK8n3yRpPH7Bo2q10OWtp2SGrFKzWvdUDgohaNr2Lu6BEk3b3tEXdytkSeLNzlHOxXu5Xlih2KqjyjIDgTiDwfgDeYm2y7lED1eyy1zMLjEYjGHsIIDawmGqnGMgEOWNrvY2UPaCdxfn+B9j12haFmn/vRYWTdtirVrlv9+4zFq1wh8fPrYvBFBdUfjToyeRkPh4ZREhBHGfD0NRsYVDvtGgZrboCYb582On6A1FnvSQ28YSDg7iznezaVlcX15jrVLFEQJdUZCA9UqVtXKFkMfDsc4OEBvCqYvL42AjEFMg7+J+oNz2zW43YK7ZsjAtm6Bvc4FV1xQs296yc8bFxeXRIsFD+Zs/yPmeRVzx0+WZwqduhMI07BY+desd1o3QC4FXeTjvvQ3xSsJynPs8fBRFpmPUT8MxqVRaTFYyxEN+gn4DCbiSW+BGZgGzYaPpCpFhkNINfrryMR/nb/KfRr7BS4nDDzW+g4yhaGiyuq2geTcbAT87VyVpqoJ2V4p3y7H53swF3lubJqJ7GArEUWQZIQRls8H57DzL9RL/buQlevyRHY+vKwp/NHics4luLmQWuZhZomXbyJLE88keXkj1cjiSRFceLElclRW+lDrNqcggY6UFblWWaNomPtXgULCbI6FeQtqTtU3QdRWfX+fKxBI1yaZxe7KtyBIRn5dDXQnq9Ra9vbv36fMaGl88McTLh/tYKVQwLRuvoZGOBPdU9Mw1K0xVVrGFQ6c3So8vhvwQ/qn5Rp2L2SXmywU8qsaxaAdHoh177p+4X4gavjup0Z8XgMqtBn5Vv6fC8WGRJImjoWN0erqYqU4zURmnbjeQgE5PJ4dDR+j39eNR9r5ysR06vEGmKlvbrFSsJl5FI3BXh4AkSYR0g8XK/V7Gm9G0beJe30NX7YV0Dy93DDzUMXaLV9X47sgZLMfhan6FhMdPzPDdJ7gKISi2GqzUy/QGIvz56Fk6vDtXRe0FN3MZ/m78GhIwHL3/3mUoKr2hMMVmg1/OTRH3+vjSwNBjGdtO+DWdf338NGfTnXy0vMhELku51UKWJFI+Py91HeFMqpOo58lcHw+KLitoskLDMjFth6tLq6yWK4Q9njsdHZ9iC4divcGlhWWiMf0e+wkXl0eJJssYqkql2Wz7d1q2jSrLGG3OFQM+A7/XoFpvEfDev/6p1Ft4DI2Qf3eb7i4uLi4HCVf8dHmm8KsejoR6eT87TvRzLcF3UzJrBFQvI4Guhzrf0WiKpMfPcq1EbyByz89s4ZA1a3zz1SO84O3j4q0lxmZXya3UWK+XmawuIXscuoa9BFMKRlBCkjaE1LVmjv9t8if0+RN0ep/N9hSvYnAo2MNHuTFi+vb+Y7ZwsIXN4dDu/eg+yczywfoMPf4wfvXzwoOXgObhVjnD389d4v9y5PW2qrAkSWIgFGUgFOUPBo7RtK3bk9i9uyXHjRCvJY/xWvLYnh1zr5AkqHthcb1IOO4j6t9YULcsm2ylxoVbi6S9fk6cePD2dF1T6XsEoUZCCD7I3uKXK1cptmqAwKPonIr28fvdz+3oP7sZ06Ucfzl+gYVKEVVWcITDb5ameSXdx3eGTz2wEL6fORZJk/IGmavmGAjE79yLW7bFerPCl9KjxB5Bq3JEj3BGP8upyGlMx9yoMpa0J97GeyrazUeZGSpm8x6BEzbuX7lmla93H7/nHgRwLtXFzXx2o2pom/fgCEHVbPFc6uGeaU+SqOHj3x95gR/NjXEhs8jN4jpeRcOjqkhItBybitkkqBm82NHHt/qOkvY9Hm9KIQS/nZ+l0moxGt3+mRw2PFRaLd5ZmOHl7l682v4Q2TRF4XRHJ6eSafKNOg3bQpVkIh7vgb0HyZLMiUgXv1geo1l3WCtXiXi9m24qKZJM1OdlpVpCqUC/3w3Jcnk8SJLEqVSKH01MkA5svTa5m0ytxrFkkrivveekoamcO9TNj967QTTkQ79rk99xBKu5MieGOumMhx74fXyeul2nbtcRAjyKB7/q5hW4uGyJEBv/Huf5nkFc8dPlmeN0dJCrxVlWm0XSnsh9P2/aJuvNEi/FD5H0PNwkIKgZfKvvKH89eZHJUpaUN4Auq1TMJquNCgPBGF/tOUTKF+RQb5JMsUq+VOP/PfZzAvUG3dEomnHvJF2VZRJ6lGwjz69WrvKvBt94qDEeZI6HB7hUmKRoVglr/i1ft9LIEdfDHAruTkyzHIf312fQZeU+0eFTZEmixxdmupxlupxlJLS7lllVllHlh0/3blkWtaaJLEn4DH1fB/osZIusOnVi6SCl9Sq5cg1bvf0cbjk4DZv4ySAjIw/ut/uomKqs8eOliyiSzGCgAwmoWA0+yNwirgd5M707P0XTsfnbyass1UqMRhJ3xPNyq8nvlmcZDMZ4tXN33q8HgaDm4U8GzvDX0+e5WVrDUDRsx8ZBcDLSyde6jzzS88uSvNH2vk84FErxfLyf99aniNg+4oYfGYmS2WClUWIwkOCV5P1VgieTaX42O8lypUx3cOvn1XK1TNzj42TyYNulBDSD7wyf5ivdo1zJLXM+s0ixtbG4Dutevtw9wul4F12+0GMVtFeqFW5k10j6NvfT+zwdPj8zxQLXM2s819n9GEbYPpIkEfM+PSLF6VgPv12dZKaQR1Xk7avpBUga0JCxWxIcrEJXlwPMmc5OfjMzQ7HZJOLZvvqyaVk4QvBCb++u7nMvHutneinH2NwaQa+Oz6PTMm3ylRpd8TBfffHQQ983HeGw3FjhVnmSqeoULWfDvkaTNPr9fYwGR+j2dqG0YT/m4uListe44qfLM0e/P8nXO8/x46VPmKqsENeDeFVjw9uqVaFuNTkW7uWtzjN7cr4Xkr0Yisrby1PMlnNYjoNX1fhieoivdI+SuqsyJRH24+gOWe8qYZ+Gpm0+Sd+owlD4JH+TPxt4/aHabQ8y/f4OXoof5Z31K1iOTVQP3lP9ZDs2K808iiTz5fQZ/Oru2nmW60WWakUSnp0CsnSatnUn8XgnHGEjIe/J4nw5X+LyzAoXZpaoNzc8MqMBHy+M9HCiN034CbYwCSGoNluYtoNX1/BoG4+cm0sZVqtVyimJcksg8hZSfaMiFF3G6lC5SoG/OH+JPzt3kuAuQgAeNdeK89TtFsN3BaEFNS9Vq8kn+Wle7Ti8rXfj55ks5pgt5enzR++pGg7qBplGlQ/X5g+U+GlaNsvZEk3TwtBUOuOhe2wk7uZoJM3/9cjrXMotMlvNocsqRyNpTkQ68ar7oxrucaHKCt/uP0tY9/FxZobpSgYhwK8avJAY4Btdxza9DyV9fv5g+Ah/M3aF+XKRTn/wHnHHchyWq2UcR/DHh4+R9G29SXSQiHl8vNE1zBtdw7dtajY2oirNJleX1/iHxXFy1RqqLDOYiHG2u5PBePSReWwulIuUWy06/e1VmmqKgiME86XivhM/nzb6/DEGvQk+bi0QVzeuIYGgblpUzBZNy0IAmiIhqxte3r6an9lcns7w3lUO247DrVKWhUoBWwgCms7RaMdjDeNy2b/0hsO82NPDL6en0WT5Hr/gu2nZNlP5PKfSaY4nd7fZHvAZfPets3x0fY6LNxep1JtomsqbZ0d54VgvHdGH+7437Sa/zbzLzfIEpjAJqUFC6sYxW06L66UbjJfHGfIP8cXkF/C5laAuLi6PGVf8dHkmeS42TFT3cz43yUR5iVK9hiTJJI0QZ1KnORsbwqvoVJotri2vMrmeo2VbdAQDnOxK0RNpP+FbkiROx7s4GetkuVaiaVuEdQ9xz+aL0IZtYQoLYwcBRZEkGlYLy7HR93GV36NElmS+1PFpwM8409VlPLJ+J9zIwiZphPly6izHQv0s1Ypczi0yXckCgj5/jNOxbrp9kU0/z5ZjYzkO+iYJzJ9Hkjaqhj/FtGwEAl1Vbx+rwWr9Jgu1q1StHLKkkPQM0+09SlTv2bUQKoTgg4l5fnxhnGKtQdBr4DM0ELBWrPC3713h3bEZvv3ySYbTj9caQQjB9eU1Ppld4tZaBttx8GgaZ/u6eK6/m6srq8wXS/j9Oh2H44iWg12zQALVp2JKglrT5IO5eUxh8z89d5aA8fDVsXtBrlnZ9Nr0qwY1q0nNaqHr7T9aK2YTWzh41M2OqZNt1B44oOZxYlo2n9xc4JPxeZayJUzLQVNlOuMhnj/cy3OHejYVQTu8Qd56xFWee0mxUidTrKLIMul4EI++dyKtoWh8q+cEr6dGmK/mcYRDwhMg5dm+ivGVrl5kSeJHUzeZLORQJAlNUTBtG1sIUr4A3xw6xEudD24jsZ+RJAkJuL6yxt9dvs5ysYymKHg1FSFgdmKa96bnON3VyZ+cOUbgEWymmLazZYDXVsiyRMN2w0UeNbIk82byCD+9eYsqdUzLotqwqJnmHbsIR3IoCwvZlDEcHwoKLWvvAo9u5Nf48dw406UspuOAtPGcjBpenk/28M3+I/jU/fGMc3k82I6DLEl37hmSJPGHR47QsCw+XFhAUxRSfv8dW4yWbbNerVJqtTieSvHdkyfxbGKZUTdNrq6tcX19jUqrRczj5WQ6xeF4Ak1RCHgNvvTcKF84PUSt0cLQVDzG9s+xcqtJtdXCr+sE9c3vny3H5Nfrv2G8NE5cj98nbHoUDyEtRMNuMF6+iSlM3kp9BY/ieoy6uLg8Plzx0+WZZSiQZiiQJt+qUDEbG+3kRgjttrBxaz3L9y5cZalQQpYkVFmmYS3y9sQ0rw71863jh+4zzN8OWZLo9od3fJ1P1dBlDdNpbPs6Wzj4NQ9qG8Lc04wiK7zRcZqT4UHGyvNMV1ZoOi0CqpdDwV4OBbvxKgZvr0zws6Uxiq06XlVDQuJaYYXfrk7ypc5DfLXryH2eeR5FRZNlmraFts3fWQiBEBsBWdNrOT6cnOfmcgYBDHbEOD0YpqK/x3pjCllSMRQflmMyVX6f+eolDoVeZzjw0q4Wzheml/jhR9dQZIWRdPye3w35PNiOw9x6gb/+3SX+pzefoye+83dvL3AcwU+vT/CLsUlMyybm9+LRNOotk59cvclvJmaYy+ZBQNgwNsZtKCjGZ39fq97Cp2sMx6NcWVnln8bG+e7pk49l/DvR4QlxvbhwnyBZthpEdT/+XS5gI7oHTVaoWa37Fr/FVoOk5OeXY1OoisxIR5yucHDfCaGmZfMP717j/RtzGKpCRySArm6IB6u5Mt9/5wpLmSJ/8OrxLatA9zuVWpNfn7/F5cklyrUmkiSRCPt48Vg/L58Y2FObiaDm4Viks+3XS5LEy129HE90cDWzylh2napp4tc0DseSnEymtlywPi3cXMvwV59cotpqMZyI3VPh2UmQSrPFh3PzmI7Nv3n+zJ0q9L3CUBQE7Oi9ejeOEPiesQrnJ0XU42NYSlOizM36GmWngabJyEgIQEEm4ATwW36aNcG0XaBitvbk3FezK/zlzfNUzCZd/tCd+7wjBNlGlZ/OT5Bt1vi3h5575irenzVsx+HS6gofLs6zVC7j0zRe6Orh+a5uwh4PHk3jz06dYjge54O5OWaLxTtp7rIkkQ4EeGtkhJd7ezftiFkslfhvVy4zXcgjIaErMtctm3cX5jie7ODPT54ifLulXlMVwoHtfR3WqhV+PTvNpdUVGpaFR1U5nUrzZv8gHf57OxGuFq4yXrpJh9GxraWMR/HQ6UkzVZ3mk/wFXku8sts/o4uLi8sD44qfLs88UT1AVL/3Ib5SKvPfPr5EtlpnKBG700YohKBQb/CL8Vt4NJWvHx3d8/HEDT9HggN8lL9MWDibtrQ3LQskhxfjR57ZlvfPEzNCvGoc59XE/Z6Ln2Tm+If5K3gVnUOhjjvikRCCbLPKjxauE9QMXum411Ov0xumPxBnqrx+XwjJ3VStFl5VR1Ql/vdLH1OqN4n6vUjA+ek5ppuX6O2uMRw9hCJ/trgJagmqVo6x4q/wKkG6fe35RdZbJr+4PIEQ0LlFm5Iiywx0RJlYyfD29Sn+1RfOPBbR7PzcIj+9PkHE6yEW+2znP+Qx6Aj6eXd6jpVKhbCh02haeD33LvYcIWi0LAZ74vg8BknHz6WlFb4yMkTC/+Rbdk9G+jmfm2GxniPtiaBIMrlWlYZt8kJ8+M7mSbsMhmIMh+PcyK8xFIqhyQpCCFYrFeZmC9Qkix8sX0cIQdAweH10kK8fH93T5PqH5aPxed6/PksqGrwnRdajy/QkI1TqTd6/Pks6HuLV4wNPbqAPSL1p8r1fXuT69AqxkI/ejgiO45At1fiH316jVG3wzVeOPnFROqgbvNLVxytdfU90HI8by3H45+vjlBsthuLRTT+HgKHTF41waXGZ4+kOXhnc279RXzhC2PCQb9SJt+GX2bQtFEliIBLd03G0S6tlUS43sGwHXVcIBb0oT3EHSUfQz1AsznuzVfRmgC5fACEchCSQhYzHMdDFxqaorJjkzDozhcJDn7fcavI/pq7QsE2GQ/duUsqSRNIbIKgZnF9fZCAQ5Wt9hx/6nI8K0zFp2BuCsEfR0eRnT6i1bIdipY5p2rfFQw9qmxt6jhD8cHyMX81MIRAEdQ/rtRrfu36VS6vL/Psz54h5feiKwmt9fbzU08NULkex0cARAr+uMxKLbVrtCVBqNPjLy5eYKeQZikTvKc6omyYXVpaRJIn/+dxz2/ve3matWuH/e/ETpgt5kj4/Ma+Xmmnyi5lJbuVz/M+nnyMV2Fg7tZwWY+UxvIq3LS9tTdYIKUEmKrc4EzntBiG5uACI2/8e5/meQVzx08VlEz6aXWC1VOFQR+KeyaokSUR9Xlq2zXtTc7w80EvYu7ctG5Ik8c3us1wrTbLeypPQ7vUpM22bjJmn2xvnS6kTe3rupxHLcXhn9RYgkfLeKxRKkkTCE6Bum7yzOslz8T70uxLXZUnipWQ/t8prFFt1wvr9u+S247BYK3I0nOaTG0s0TIuR1GeLnGisQtnIsLwepDcI3s8VBvrVGE27ymz1Ap3eI8htmMCPL66zUqjQl4hs+zpJkugIBRhbWGO1WCEdebTJx7bj8N7UPDISMf/9k1nTcWgJGwnw+XWq1Ra24+D1aMiSRMu0qdZbhAMeupMblapRr5eb61murKzypeH7A18eN73+OH/Y8zw/W7nMfC2LgyCoenij4ygvxkd2fTxFlvnTkZP8xfgFpksbrc5CCLIrdQxT5WhPEr+ub/y/ao2fj90iHQ5wtm9/pHabls1HY/N4dO0e4fNuAl6DYrXBR2PzvHC498BVf16+tcSNmVX601H0TysGlY2W/kK5zofXZzk10kVPR+SJjvNZ5dZ6ltlcYceqaK+moSkKH80t8mJ/z576fyZ9fk51pHlnbpqYx7ujEL5ardAdDHE4ntizMbRDJlvmxvgyl6/MUyo3cByBosikUyFOn+zj0EgKv//pqxJWZJmzPV388MYNVFkmLHywSVe7IwQ106QnHGKuUGSlXCEd3N7zezuu5lZYqZXvEz7vxqNqBDWDD9bm+WLXEJ59VP0phGCtmWW8PMNYaZrmbfHTUDQOB4c4HBogZWz93nZ7rqVimctLK0xnczRMC6+mMZqMc7I7TeohPoeHpVipc2N6lQs3FlgvVHCcjQrvWNjHuaO9HB1MEQ1tL+CNZdb59ew0Ma+XiOezuaRp24xnM/xiapLvHP+sw0WVZQ4l2r8/XFpdZSafZzgWu0/c9Goa/eEI19bWmMhmOdqGV+gvZqaYKRQ4HEvcuVf6NZ2Yx8vNXJZfzE7yr46fBmCuOkeuVSBldLQ93pAWYrG+xEx1huPhY23/nouLi8vD4IqfLi6fo2lZXJhfJuLbegGT8PuYyuaYWMvwfP/e+6idjffxbwa/yl/N/IKVZhZdUlEkhZYwcXDo9MT5z4d+j7jxeFqZDwINy+R6fpXFaomWbRPUDY5EkpjCYqFaIOXZWvhLeYIs1ApMV7IcDt+bMH423stcNc/bKxOUzAYdniCGouIIQa5ZZb1ZZTiY4LjexQ9KYwwk7q08crQVDF2iWJDIlKv0xiP3nT+gxsm3FimZa0T0ndtdJ1ezCERbIlLY5yFTqjKzln/k4udiocR8rkAyuHmFZqXZpGFZBDwGjgqjfQmW1kuUq00cIdBVhXQyxGB3/E5FqCxJGKrCZCa3L8RPgFPRPkaCKWaq69jCodMTIeHZOml7Jzr9If5vJ1/hWm6NlVqZetPkd5lZEmnfndADSZJIBPyUGk0+nlnYN+Ln/FqB1VyJdHT7958I+1nOlphfKzDU9Xg9aB+WixOLGLr6mfB5F+GAh/VilfHZNVf8fEJMZXO0bOeON952JPx+5gtFVssVusIPfs1uxms9fVxbX2W2VKA/tLmPNECmVsVyBG/2D2Eoj2ca7jiCj85P85vfjlMq1fH5DIJBD4osY1k2c/M5pqbXSaXCfOtrJxkc2F2QykEgEfTiMXSq9SYN08JQVe7+iCzboVhvEPF6ON7ZwWKpzFQ299DipyrvkDAPdHgDzJbzTJfzHI22LyA9SlqOydtrH3GteIu63SSo+vAoG8+jpt3i3cx5LuSvczw8wheTz2MoD+5Zmq/V+eGVMW6srFFpNvHpOoosYdkOV5dX+eXNKU73pPm940ceu//39akV/umd62QKFTy6SuR2lbTjOGQKVX7w6yu8c36Sr796lNOHura87i+tLGM59j3CJ2yEnyV8fi6uLPP1kVFCxvYFFfWWydjKOtlKDQFEfB6OppOcX17CUNUtv2s+TcNyHK6ure4ofhYadS6vrpD0+e/bJFJkmaTPz5XVVQrDdSIeL9lWDgcHdRedL7IkI0syq801juOKny4u0u1/j/N8zyKu+Oni8jnqpkXTsvBts5BSZBkhoNoyt3zNw/LN7lMcCqb4+fJlLhYmadhNUnqUlxNH+Er6FEmPK3zC7eCftXl+tnCTlVoJWwhkpDtpqhHDQ6nVoM+/dXuhrqjYQlC17vf4UiSZf9F3ipQnyLtr0yzWClhio1cgonv5cuchvpQ+xI3ZdYD7vP+E3EBiQ6TcKkBBlQ1sy8R0mm2951qz1bbfrCRJIEm0rN0FaxTLdXLFGooikU6ENhV+Pk/DtDBte0s/Pfu2N6qmqliOQ3cqQlcyTOm2+Ok1NHwe7b7FgyrL1MxHd609CD7V4Fh47zY+fJrOC6mN402sZXhPzBPcZBEU0HVWy9V9E4LUNC1aloOubf991FUFy3ZoPMJ75qPAcQTFSh3vFoEQ0m0/6FJ1e4/mu6laDcZLCyzVcwgEHZ4Ih4M9RPSNTYOq2eRaYWkj9AhB2hviRKSLqPHkbR/2I3Vzo4W8HXRFwbJtGru8H7bDQDjKd4+e5K9vXOFmLkuH30/E8Ny5TqutFqu1KhLwreFDvNLVu+dj2AwhBO9/eIuf/eo6Xo/O4EDyc/cOjUDAg207LC7l+f4Pz/PtPzz31AmgNtAVDtLy+VgrV6g0W2iKDEhYjo0sScQDPo51duA3DCSpQvMhA6nKZhOjDV92TVawhaBh74/7o+lY/HTld1wpThDXwnQYsXu+MwHVR0wPU7FqfJy7RtNp8fX0aw/UCp+r1vgvH15gYj1LZyh4XwX3p3ZTv7k1Q65a59++eOaRhJZtxtVby/zdLy9j2jZD3THkzwmBfq+B4whWsiX+/leXcRyHc0c3v67Xa9Utq3oDms56rUq52dpS/HQcwbuTs7wzMcNqqYJzex4qAYmAn9lagXhk+2eEJsuUmjvPMyutFg3LosO3+fH8usZqtUql1SLi8dJ0WsjsvpJekRSadnvzXhcXF5e9wBU/XVw+h0dV0RSFhmWzVV2IIwRI7HlowucZDqUYDr0FvPVIz3OQeWdlmu9PXkGWZQaCsTvBREIIymaT8cI6680S3f4IMWPztiTz9sLHq2w+MVUkmddSw7yQHGC6nKFqtVAlmR5/9M4xfXoB2Gj9vnunXHJ0YMOwfivB0hItFElDbXPh4NU17Nsm+DshhIDbVZXtUCjV+M0nk1y/tUyl1kSWZZKxAC+d7Oe5E33btorqqoIqy7QsG69+/+s+TTa1bBuPttHqLqkysfD27WK2aK+q62khaBh4NJVqq3WfrUa11aIzsn9Cj3RNQVVkTMveViA3LRtFkdsS0fcTkrTRtr+SLW35Gstx8H/ez2ILbhTn+cnyedabRSQkJGljUyCqX+XNjlN4ZR8/nL/Man3jfLIkYQuHn+tjfK37KK8mh/fNZ79f8Kgbm1ftYDo2qiyj7yKscDecTnUSNAx+MzfDtcwaa7UsEhvWWoaicigW59Wefs6lOh/b5zg9m+Ht347j9xnEY1tXMSqKTG9PjPmFHP/80yv8h3/zGj7f09MCrysKhqowGI0wEI+wWqpQajQRQuDTNDpCAWJ+H7IkIYTY6EZ4yO+JX9VotfGs/lR8NXbpGf2oOJ+/ztXCBClPHO8WHo6SJBHU/GiyypXCBAk9ysuJ07s6j+04fO/iVSbWs4wk4psGx31qN+XXNa4ur/L3l2/wr58//civn2yxyj//9jqWbdObimz5OlmW6EqGWc6U+PG7N+hMhulM3L96iHm9jGczmx6jZpoYqopf33yeI8RGkORPrk3gUVX645E780nbcVgvV1lcL1GsN0gFAlt6gpuOQ0Df+Vnl0zR0RaFuWZvOveqmhaEod4pEdFnDob056d04wkGXH28lr4uLy7PN/njKurjsIzyayqnuNL+8OUUy4Nt0gpWr1oh4PIx2PF6/Lpd7WawW+afZGxiqSqfv3smmJEmEdA+nYp38eKHIpfVlvtQzvOlx1hsVUt4gg8Ht23F1WbmvLf5TDnUmSAR9LBfK9MQ+q8qVzTQ1ZQxDFySCm4t8VStHRO8krKW3Pf+nDHTEeHd8Fst2dkyZLteb+AyN3h38QQFKlQbf+/EFbs1niEd89KQi2I5DtlDjB7+6Qqna5CsvH9py0dETCdMdCbFULNMXu/98AUPHUBQKtQYDyVhbixchBA3TYiC68/ifFlKhAIdTCT6ZXcSraXeE62J9I/jguUdgtfGg9CQjdEQCZEo1uuJbtxFnSjU6IgF6D1hruCRJnB7tZno5h2nZ91lNlKoNvLrKob6dW1WnKiv8YPF9GrZJv78D5XZYnSMc1psl/mbutzRNDUP2MhT4zGfNEYLVRom/n72IIas8nxjY8/d5kBmIRVAVmaa10cq8Hdlqjc5Q8JH6Bw5FYgyGo6xUK0wX8jRtC1WW6QwEGYrE2k6D3yuuXF2g3jBJbyPgfIokSXR3RZlbyDI+scrZ009PeFZPOESHP0CmVqc7HCLk2bq9uNRsEtB1BqIPF0h1LJbmQmYJWzh3rvfNWK9X6fAG6A8+mQCsu2naLa4Ub+JTPVsKn3fjUQz8qpcrpZucjR7dVfv7ZCbH+GqGvmhkx7mMrqp0hoJcWVphsThIT+TBup/K9SZLuRJN00JVZEI+D92x0H3zkeuTK2QKFUZ625vnp+NBbs1nuHpreVPx81Sqkw8WFyk3m/cktduOw1qtyhv9A3hUlXyjjixJ+DTtzmb++EqGX96YJOrz3Oenrsgy6XCQwUaUqyurLOVK9CTu/9s0LAtFljiW3PlZFfP6OJ7s4HcLc0Q8nnvuWY4QrNUqvNrTR+x2uFtUjyIhYQsbpQ3f+o3jONjYJA13HeXiAriBR48JV/x0cdmEF/p7uLSwzGyuQF8scs+Dv9Rokq3V+drREWK++wNwXB4fFzNLFJsNDke2bs/TFZWRUILx4irzlQK9gcg9Py+06tTsFl9PHsWzReVnOwQ8Bl87eYi/++gqk6tZYoGNCpJcVSWQjtDT2cTYpBqybhURwqbPd6atsCOAYz0dJEMB1ooVumJbC05CCNZKFU73d9G1gycjwCfX5piczzDYHbuTYKqi0NURJles8d7FaY6PpOlMbr7oUBWZl4b6+OuPL1OsN+6rWtRl5Y7HXUe4vRbeQr1B2OPhVGd7wvDTgCRJ/P7pI5QbTSbXczi37QK8usbrowOc2yd+nwCGpvL84R7+9reXqCsVLMXEFja6rBLSAsT0EGZLUG20+PLZEYwDVvkJcHqki6tTy9yaX6cjGiDk92x4/pZqFCsNXj01SF9qe9FCCMGH2XEqVp0BX+pzqc8yKU+E8eIKFdPki4nT91RYy5JEpzfMXDXHr1ducirWg75PKsT2A6MdCXojYRYLJQbjW38OLcuiYVm81N97XxW+6ZjMVhdZaazTsJtoskrCiDHo78Wn7v45L0kSnYEgnYFH67O8E9lchfGJFaI7tMPejaLIqIrCpStznDrR89SkwBuqyou93fyPq9cxbXvLTgwhBCvlCs/3dNEVerjP71Qszc+8ARarJfo+N/f4lJZtUTDrvNE9hF978lVwU9V5ss0CXZ72bQ+iWoilxhqTlXmOhTffZN6MC/NLmLaDb4uKx88T8hislMpcXlzZtfi5kClweXaZC1NL5Cv1O23jXl1jOB3j3HAPR3s6MDSVZsvi/Ng8AZ/RdoWpJEmEAx4uji/y6unB+7oBjiU7eLWnl9/Oz5Kt1wgbHpq2Rb5eJ+w3qEpN/p8f/RLTtpEkiYCm80JHD6eTnZyfW6RpWfT5I1uefzAWZTqb4/rSGuloAPWu73fLtpkpFDjR0cHhNkOUvjwwzEyhwHguQ9ofwKdp1EyTlWqFrkCQLw989jn3+/qIaBGKZpGYHmvr+GWrTEANMOgfaOv1Li4uLnuBO3t2cdmE3miY75w7yfcvXuPmegavqqLIMrWWia4qvD4ywDeOjj6Sczcti7GVdVbKFWzHIWAYHE0nSQZcv7e7sR2H8+uLhHTPjpPTI+EO1uoVVmsV6k6LoLqx616xmhiKypfTh/lCavdJ3Z/n+aFuAh6d9yZmmV0vIBCMplOcGfozWv4PyLbm0SUPuuLHETYNu4QiqYwEX6XXd3LnE9zGZ+h86cQQ3//gGplSlUTo/u+GEIL5bIGI38sXjw3u+DdqmRYXxxYJ+o07wufdRENeJucyjE2tbil+Arw42MNKqcxvJ2bIVWvE/T40RaFmmmQrNdLBAMGAh4ppEvRub+xv2jarlQqvDfQ/0aTXJ0Ei4Od/ef0FbiyvsVQsoSkKIx1xBuOxLVvangRFs0IuskAzlmNqroZhyHj9MsiwWFlHNDS8jp+vnDjKy8f7H/p8a6UKE2tZai0TTZHpiYYZTET3NLn78wR8Bn/65TP87MNxxubWWC9mkZCIBr289eJh3jg7vONnkmmWmKyskNDDm16LNatF03aQJIeyXSMi3y+6pDwhluoFpsoZjoSfnc2AndAVha8fGeG/fnyJ+XyR7kjovurKumkymy9wojPF2d7PQuVs4XC1OM6lwnUyzdxGhR4yAmcjTEQLcTQ8yvPRUw8V6PKkWFktUqk2GOjbXXVVNOJjda1EudwgEtneluQg8VJ/L9fW1hlbW2cgFsXzuUphy3GYyeXpCPj56ujDW0yEDS9/OHCc/z5xgelSji5/6M4GoBCCYqvBcq3EiXgnr3fuj0C/5XoGgdhVeI0qKwhgubHetvhp2jZjq+tEdpgH3I0kSQQMg2vLa3zr+OG2fkcIwXvjc/zkwjjlWoOw30t/MoqqyAghqDRajC2sc31+jeN9Kb798knKlQbZQo1kdHfz7mjIx+JakdVsiaGee685VZb5l8dO0BuO8MHiPNlaDUkCT0ChKBp8srZI1PDi13SEgGKzyfenrvGT6ZvkFuoMhLcXFb2axpnuLi4tLXN1ZY2I34OuqNQtE8cRHE0m+e6Jk21bOfSEQvzHM+f42fQkNzJrFBoNDFXh5e5e3hocpif02Ya6R/FwODjK+9kPCKhB9B0snCzHomiWOBs5TVB7shtELi4uzxau+OnisgUnulJ0hYNcWVrlxuo6LcuiMxziTHeaoURszxfbQgg+mFng1xNTLJfKOM7GrrQAwh6Dk91pvnX80LatWs8SLcemYZttpeXKskynL8wr6V4CusZkeR3BRpL7mXgPw8HknrQiSpLE0e4OjnQlKTeaCAFBj4EsSzTsPpbqN5ivXqJhV5AkiR7fCbp9J+gwhpC2aYnbjJdG+6i3LH5xeYKJ5QzRgBe/riMQFGtNyvUGyZCfP375BIOpnXfia/UWtUYTn3drfy9VVciVatseR5Fl/vD0UfpiET6cXmA+V8ByHDyayhdG+3lhoJfFconvX7nGYrFEZyi46d/+U7HicDLB7x9tb5HztOHVNc71d3OO7ic9lE3Jt0r8w+LbzNZWOH4mRGc0wMJ8nUrZYqOoRqD6HbxdZUKH6qjqg19juWqNH1+9ybWlNUqN5kZKs9jwmR1MRHnr2CiHUo+ufS4a8vGdr5xhLV8hU6ggyzI9HWGCvvbuxxWrQdM2SeibV2C3HAsBKJKE6WwesmIoG0FhFdMNiPg8J7vSfPecww+u3GBiPYtP0/DpGo4QFBsNJCROd6X507Mn8d/2vLOFw2/XP+Tj/BUMSSNlJO4JbLGFTdEs827mYzKNHF/r/CJe5WA9f1st+7a37O6uPUWVsSyHlrn3wVBPkqBh8G/Onua/X7rC+HoGRwhChoEkbQRYmrZNbzjMd06foC8S2ZNzPt/RgyJL/Gh2nPlKAUs4SEgIBEHN4LXOQf5o8DhBfX/4qzbsJgrbC2Qt0yaXKZPLVbAsB49Hw460qAbqbZ+nadlYjtN2eOOnaIpM3TTbDv17b3yOH354DY+mMtKZuOd3JEki6DUIeg0aLYtLM8tYtsOro/3YjrPpRvB2qIqMZTs0zc3DLTVF4Qt9/bzS08tarcJf3bzIzUKV3kDkvqrfsOGhSwRZKBSZLRVQFJn4bU/arUgFAgxFY7w+Msh6s0q1ZRL1eTmb7uRER8euvdN7QmH+/amzZGo1KmaLgKaT8G1uB3Y6coq15jqTlSlSRgfGFpYJLcdkpbFCn6+X52LndjUeFxcXl4fFFT9dXLYh5vfxxuggb4wOPtLzCCH41c0p/vHqOKos0xeJ3PH5E0KQrzd459YMmUqNf/fSWYKe/TFJfpKosowiyVii/eCfHn+UL3c/fIXnTkiSROhz1QweJcBQ4AUG/OewnCaSpKBK+gNXlkiSxJvHhxhIRrk4s8SVuRWylertybyHN44Pcqq/k45wexWTuq6iKsrtxe7m3y/btvF5dq5+UmSZ5/q7OdvbRbZaw7Rt/IZ+pw1+IB5BkWX+eWycm+sZ/LpOyGMgSxJNyyZfq6HIMqc70/zp6ZO7qgxxeTyYjsmPl99lrrZKnzeNKivEj8DAcIB8roVlClRNIhrTaUlNrlTGiWeDvLrLQAyAbKXGX7x3nlvrOVKhAOlQ4LME7WaLibUsK6UKf/bCKY53be7JuxdIkkQqFiQV232lii6rqLKCKSzUTYQFRZKRBNiS2NIb0HYcJIlHFtZz0Dnb00VfNMKV5VU+nl2g3GyhyBLnerp4rreLw6nkPX+7i/lrfJK/QlQLEVDvr/BSJIWYHiGg+hmvTGGs6Xw9/caBCpxSVRkQbQtFn+I4AkWRnpqW97uJ+338ry89z831DB/PLzFfLOAIQVcixPM93RxPdRAw9rbK92yim2PRFDfyayxUi1i2TVA3OBpN0enbPwF2ANoO4TWFfI1bEytUKg1kWUKWJfJZh0axhrbg541gjXAb1cKaIiNL0p3283axhcCvKm39zRYyBX5yYRyPppKKbH/f9ugqgx1Rrs2vosm3x+Y4sItrwBECWZZ29C+VJYmfzE0wns8wEo5vKQBLkkTC58enasyVCiT8fvqCkS2P++lG80u9PQxsYwGyGyRJIun3k2T7KlhDMfhSx5soksJUdQrRgrAWwpA35m8tp0XRKiKEYCgwwBvJN/Bvct91cXlmcT0/Hwuu+Onisg+Yyub5yY0JAoZ+X3u7JEnEfF4Cus6NlTV+OjbBn5w58YRG+mBYls30XIZ8sYZtbeymJ+IB+rpjD7y40mSFI9EO3lmepsO7vcBXNVt4VHVLz63HiSwp6MrDtREKIbCECcBAR5TBVIyvnhql2mht+E75PHj03d3efR6do0Mp3r0wTSx8/85+vdFCVRVG+9r3AZNliWTw/smtJEm80t/LoWScq8urfDC/QL5eRwiBKiu83N/Hcz1djCbiqI+wndnlwZmqLDFTXaLbm0SVP1u4aZpMR+pesVrDS91ucil/kzORQ7vyUBRC8I+Xx5jM5BhJ3p8G7Dd0hhMx5nIF/v7CdXqi4fu8ZvcDKU+EtCfKcj1HzyYJ2gHNQFNlTEsiuMWCMNOsEDcCDAXcgIitiPt9vDkyyBvDA5iOgyxJm95D6naDS4XreGRjU+HzbnRZI6nHmChPczpyjE7vzoEh+4Vo1I+uq9TqLfy7SG4vlxuEQ16Cgf13Le0FuqJwIp3iRDqFuC2+PagAaQsbW1iokoa8TQeHoaicSXRxJrF/PJs3I26EcYTAEc5976daaXJzfIlG3SQc+awKUSBw1Ba5m3X+8Qfn+Zd/9hKGsX2Voa4odEVC3FhZJ+5vf05UabY42eYm1+XZZcq1BiOd7d0zdVUlHvAxtZZD01VK1SaJSPtzqVKlid+rEwtv/34WqyWuZFfo8od2rHz16CrxkJ+FbJG5coHuQGjLDbJspUYy6KfzIb1qHxS/6uOt1FeYrx3mZmWC+doCFauCADRJZcDXz+HQIfp8fTu2xru4uLg8Clzx08VlH3Bhfolay9zWwF1XFRJ+HxcXlvnSoeEDEbZUrTW5NrbEhSvzLK8WsJ3PtrU0VaGnK8rp472cONK140R5M84luvlgdY5Sq0FI33yRJoRgqVbicDjJUGj7NPf9TtHMM1OdYrIyTsNuABteSyOBw/T7h0k/ZCL68yf6GZteY3YpT1dHCF1TNzyxak1WM2VOHelmoGfv/oZxn483hgd5bbCfaqu1UbWgqnfaUl32J0IIrhUnAdpewET1EPO1VSYq85yOHGr7XEuFEmMr63SGgltW00iSRE80zK31HFcXV3lt5OG9RfcaVVZ4PjbK3y+8T6FVJaLfK7jVrCZBTUcRBmWzScy4d3pWMZsUzTrfTJ0goD2dgtReIknSthWy05V58q0iXd72RBSf4iXTyjNRmT5Q4mdXOsJAX4JbU2tti59CCKq1Jl987RD6LjfRDiIPInqajslifY7Jyk3Wm6t3hMKUp5PhwCG6vb0o0sH8240E+nhPu0jJrBD5nE3HykqBWrVFJOZD4rO/W1Np4sXDSKCPyYkVJidWOXaiZ9vzSJLEC309XFta2zaA6m7qpokqS5zt2VlALtebXJhaIuz37uozjga8TK3m6IuGWV4oEN9kM3grcqUaLxzvI75DoOPF9WUqZpNu/85BlJIk0ZkIspavkK/XyNZrdPju3/BvWTaVZouvHX+ywYKqrDIYGGDA30/RLNGw6wg2KkOjWmRfVTm7uLg8exzMJ7OLy1NEtdXiyuIK0TbEzJjfx631LDdXM7w82PsYRvfgZPMVfvjjS9yaXsfr0Uh1hDHuWkjVGy0WlgpMz2YZn1zlD752atdVJqPhBC+n+nl7eRJHCMKfCz+yHYe5Sp6QZvCNvsN74uv5JDAdk/P597lZHqNmV/HIHnR5YyFbNku8l32Hy8XzHAoe41zkpV0FFdxNV0eYP/naGX70zjUW14oIRyAEeD0az53o41uvH9uxnetBUGWZsOtle2CoWDXmaytEdhFUoEgbNhXTlaVdiZ/jqxkqzRZd4e3PpcgyHlXlwtzSvhQ/Ac5EB8m1yrybuUG+UiGgeZCQqFh1JEnmrc7TGPh5e+UW2WaVkOZBliRKZgNZknglOcRX0kee9Nt4KpitLSJLEorUnoWAJEkEFB8T5RleS7ywZeXVfkOWJU6d7GVicpVarYmvDQF0PVMmHPJy5FDnjq99FlmuL/JB7h0yzXVA4FP8yJKMLWxuVcaZqt4kaaR5OfY6HZ6DF0wW0gIcDg7yYe4KAdV/p7K/Zdqsr5XweLV7hE8Hh4baoLPSRVDxk5fqXLsyv6P4CXA0naQnGmIuX2QoHt1WGHOEYD5fZDQZZyS58ybsUq5EvlJnoGN37d+KLKMqMoqu4PNqFMp1oqGdK1NLlQaaKnNqdGdh9mp2hYDWfpJ8R9RPVyLExHKG5XLpPvGz1jKZyxU4mu7ghYGd/+6PA0mSiOhhYOuiDhcXl8+Qbv97nOd7FnHFTxeXJ0ytZdK07bbEH1naCC6otVqPYWQPTrFU5+/+6QLT81n6umNo2v0LTK9Hp6dLp9k0uXpjEcd2+Pbvn8Pnbb/qT5Flvj10AlmSeH91lpVahaCuo0gydcuk5VikfSH+5dBJDkXab9feT1iOxbvZXzNWukZIDdPl6blvwiyEoGKVuZj/mIZd57XEmw9cdTLcm+A/fec1bt22KZBlif6uGJ3JkLtj7wJA0zGxhI1f3l31uSar1Oz2AzFgw9NTltqrzvJqKoV6Y9f+ho8LWZL5Suo0g4EUVwuzTFVWEAhOhAc4FRlgNNiFIsmMhlJcyM4zUV7DEYLTsR7Oxfs4Fu68x2LA5cGp2XXUXd4jNVnFciwsx0I5QMnvRw93cvpUH+cvzJBOhbcVQLO5Cs2mxTfeOkE83p5f9LPEQm2W32R+Qc2qEteT9wRkAYS1CKbTYrWxzC/XfsybHV8j7dnfbe6b8WL8JMuNDAu1FXq8HaiyitmyNsKNvJ+9ZweHslEm1AzRVd14n16fTi5baes8Xk3j26eP8xcfXmAqm2cgFtk0TNS0bWayBVKhIN8+c7wtO5ymaSGEeKBwUk1RMAyFL5wZ5ucfjm8IecGtn3elaoO1fIUvnhthuGf7FntHCKpmC11WgDrIy0ANkEBEQKT4/PJcUWSODCTJNqoU601urmbwahqStLGG0BSF0z1p/uVzJwm4mQAuLi4uW+KKny4uTxj1bmP1NnjQydzj5Ne/G2dqNsNAb3zHtEzD0OjrjnFjYpn3P5niy1/YXWWToah8Z/gUL3T0cCGzxM3COi3Hptsf4lyyh5Ox9JYt8QeBy8VPGC9fI64n8WyRNCxJEkEthCZrjJWvElLDnIm+8MDn1DWVY8MHr2LF5fGgSDIy0h2vvHZxhLNrwUlVZNo9jS0EmiLvS+HzUyRJYjjQyXCgE+d2WNvnffVGQylGQxtehAKxrY+gy4OhScqug1YEG6L6Qfs8VFXhm2+dBODS5TkkqUI8HsDn3QjccxxBsVSnUKji9Wp89cvHeOG5RxvyeBApmUV+l/01dbtGyujc8j6jyTppo4vV5jK/y/yKb6b/CN8BC3YJaQF+r+uL/GTlt8xWltBkDR9ekASO42BJgoZax5YdQs0QQ4VhDHtDdLMsB20XbdcjyTj/5oUz/O3Fq0xmcmiKQsznRZElLMchV61jC0F/LMKfnjuxrT3U3SiytJEf8gCbYY4j0FSVN54fwXYcfnthilyxRjziI+Tf6DASQlCuNckWNjaJv3humK+9chhZ3v5cEqDJMiiToM6BVL0reETeEECdUyDutdfQNYXOniDPR3rokAIsFIoIAelQgFO9nQwnY/t+beDi4rINQtD2hHevzvcM4oqfLi5PmJDHoCscZDqTvy8h/PPUWi10VaE7srNP0JMim68wdmuFRCywo/D5KbquEgp6uXxtgZfPDeHz7a6qRpYkhkLxA+/p+Xnqdo2b5Rv4ZP+WwufdeBQvXtvHePk6R0In2/odF5fdElC9BDQ/FbOKT23vOyaEoOmYdHh214LYFQ4hyxIty0bf4X5SajR5rv/gVFntJKJJknRPe6nL3pEwYoyXpnYljFStGr2+btQ2W+X3Ex6Pxh988zQjQx1cvjLPzFyGueUc9m0BPhz08vy5AU4e72GgP7GvNxCeFFOVCQqtHF2e3h3/PpIk0WGkWWkuMlOb4ljo5GMa5d4R08P8i66vMFGZ5VpxguV6BhE3ydc2LDv8rQDJepJoPYYmNqpBhRDUay1GD+9u83S0I8H//Y1XuLa8xkezCyyXytiOQJVljqSSPN/fzbF0B16tfW/4sM+DV9eoNlu7roZsmhbJkB9VkXnr5cP0d8a4dHOR8Zk1MvksnzaM+jwaJ0Y6OXO4m8MDHW2Jj5Ik0RFYY7V5FfCBSACf/p4FUgGUj8B+GcRnc9pPN2sOpRK80T20q/fj4uLi4rKBK366uDxhFFnmhf4exlcztCwLXd38shRCsFyqMJKMMRjfnYDwOBm/tUqpXGeof3dt5tGIn7mFLDenVjlzYn/7mT4u5mozlKwiKaN977WQFmG1ucx8bYbRoOsP6LL3aLLGyfAwP1/9oG3xqGY38CoGh4O78+M8kk7SGQ6yUirTF4ts+bpSvYFXUznTe3DET5cnx0hgkPP5axTNCrWmoGFZOEKgyQoxr5eAod8jPFuOjY3DsfDogRUGVVVh6FAH1YTF3I0KpbUapmkjqRJO3GG9p0UpaNJybAzFXR7cTctpMVEZw6u0H34jSzKapDNRvs7h4NEDGYDkUz2cjhzmRHiElUaGK9VZ3v7ldaKBIB16DJl7xb61lSLhiI+jx7uBjXlrplGlYVuoskzM8G353QoYBi8N9PJCfw+lRhPTttEVhZBnc29MIQTLlTL55obViVfV6AuF7wQndcfDDKVijC+t70r8rDZaGLrKib6NMDRJkjg80MGh/iRr+Qpr2fKdzbhENEA6HtzVPaFpV4n65llpyNhO8HOCqQrEgXWQJ8CO8anQmmvUiBpeTsbdrhwXFxeXB+XgPYldXJ5CTnalOdbZwdWlVQbjUYzPCaBCCBYLJbyaypcPDe/r1pabk6t4DH3XC0RVkZFliZm5jCt+3mahNouM3HYoB4AiKcjILNRnXfFzD7Fsh8n1LJfml1kpVnCEIBnwcbK3kyPpxJabFk8rh4L9fJS7znqzsGM1pyMc1pt5DocGSHu290P7PIam8pUjw/zNx1dYLpZJhwL33VvKjSbLpTKvjw4ysI83hh412XyVpbUCpuXgvW0n4t+Fh/KzhAc/9arOhfItrKaXTwWGjVRihaTPT18kTMzrQwjBWnOdhB5j0H9wn03T5Rx/fesic9U8mqbQPRzDUFQEgrplciGzyMXMEocjSb47fIak1/X8/JRMc5WimSeh725TN6RFyLWy5FpZkkbqEY3u0aNICt3eFOkzSVjW+ej9SVa0ItG4H1VVaNRbZDMVvD6dr3z9BMGYj0/WF/hwbY7pcg7TsZEliZjh4+VUP6dinVt+v2RJIrJNF5QjBFfXV/lweYGxzDpVs3Xnuu0Jhnm5u5ezqS4Cus654W6uL6zRNK22EtCFEKwUyhzuTtKXvPdZIkkSqViQVKz9oL/NWG9OYqgNfGqMktkkanzeS1QCgiCtAmUghO04rDeqfLlnmJhn5/AlFxeXA8qz2Yn+WHm2VmsuLvsUn67x3XMbbVFjK+vIskTE60W+bWZeajaJ+3z8i1NHOdbZscPRniy1egtNezBxVlUVqvX9Heb0OKnbNTTp/javZsPEcQS6oaJskr6uSip1u/Y4hvhMsFIs8/3z15hcy2LZDj5dR5JgNpvn49klemNh/ujsMYaSsSc91MdGzAjzxeQ5frryHuvNPAk9sumGh+XYLDbW6PDEeLPjuQeqmnuuv5uWbfOjKzcZX80Q8hh4NBXbERTqDVRF5gsjA/zh6aM7+q09jaysl3jvwhRjk6tUqk0AJAliYT+nj/bw8rlBVwS9i1y9zn+9dImJNQUp6MPwNPDJYWQUEIKGbbNYLpGp1ziSiKPoTTyKhzc7XsajtF9B1rBMJvM56qaFV1MZjsbwqO237e4l0+Uc/8f4R2QaVYaCsfuCswxFJWJ4adoWV3Mr1K2P+I9HXiTuOVhelY+KltPCEfauqzc1ScMWFi3n6ZjXKIrMW984RUc6zKXzM6wuF7FtB91QOXqim+deGCLaG+T/N/YhV/MryEgkvH50ecNjN9+q872pS/xmeYrvDJ3mRGx3VYymbfPDiTF+PTeNIxySPj+dgSAS0LAsFssl/uu1S1xYXeZfHTvFsd4Ux3tTXJ5dZrAjtq11ihCCpVwJv0fnjRNDj+xZ0rBKKEiMRlJczixTajUJagb3Pho9IFVAqmHbgf8/e/8ZZFl6lmmj1/Lb+/Q+s7K8N91drTZSS91yCAkQaAYG8wHfmfnQEMHhx5yZw48RExMQzMTwMXFi4MD5AeMQEkIgh0wLqVtSu+ou7yu933vn9n758yOrqiu70lVVZpmufUWUFJ1751rv3rnMu+73ee6bsVKOvmCUF7qHtmRMTZo0abJR/vRP/5T//J//MwsLC+zZs4c/+ZM/4dlnn13xvV/96lf5sz/7M86cOYOu6+zZs4cvfOELfPSjH73Po36XpvjZpMlDQszv4/946ggXF1K8Mz1308w85NH40PZBDnR10BZauxJjKSBjaeX8QSGJIu7Gsptuw3Vd5BXEvMcVSZBwb1kGzC6WSc7nKRXruO6S+NnWEaG9M4qivDupd3HvqFq0yeqkSxX+x+unmMuX6I6G8arLxQvDspjJFfhfb5zml48fYuAxEkD3R4ZxcfnR4ikma/MEZB9B2YcoiJiORcEsYzo2Xb4WPtb+ARLa3VVlCoLA00N9DCRinJ1Z4PTMPA3TQhIFjg/1cLi367ENe5iez/F33zlDOlsmEfUz0BNHEAQs2yFXqPL9164wm8zzsx87SNDf9ABumCZfOneOi+k0w9EOXClKkhFqFBEQkAUPiiwSliSKZplz2SL7En38dP/z9Pm7N7QP23H4yfQUP56ZYqFSxnFdREGgIxDkud4+nuntv6/36Kpp8KXRM2QaVbaF4msuQGiSzLZwgtFShq+Mn+P/3PXUA51PPCzcbcjV0v1buK09/FFGkkUOHx3gwME+0qkipmXj86nEE0GqlsFfXX2HC7kFBkKx21rc/YqK47pMlfP875FT/NqOo+yIbGxB33VdvjV2le9PjtLqCxDxLL+eeRWFvnAEw7a5uJjif188y68fOMLPHd+HZTtcmkkRD/qIBry33SuqDYNkoYzfo/KZJ/ewvfPOKnzvBEGQQHBp9wWwYm1cyafJ6TW8soJXUq6LoA6OC9l6nUwtw0A4xi/tOEirr1mN3aRJkwfHl770JX7nd36HP/3TP+UDH/gAf/7nf87HP/5xLl26RG9v723v/9GPfsSLL77IH/zBHxCJRPjLv/xLPvWpT/HWW29x6NChB/AJHnLx8w//8A/56le/ypUrV/B6vTz99NP80R/9ETt27Lj5Htd1+f3f/33+4i/+gnw+z5NPPsl/+2//jT179jzAkTdpcnd4FJkjvV0c7umkblo4roMmyzc9jFajbpm8nprk7fQMddtgONTCBzoGGAjefyEmFvUxnyrc1e+apk041GzpuUFYiTJTnwJgdjrL5Fga13HxeJWlEBjdYvxakkKuys49XSjq0iXddA3CSuQBjvz9geu6fOvcFWZzRYZa4yuKa6osM5iIMZ7J8Q+nL/H5F46vG8zzfkEQBA5Gd9Dta+VqaYoLxVHyZgXXdZAEiW5vG3sj29gW6NlwMNJadISDdISDvLR7GMO2kUXxsV4sqdZ0vv7982QLVQZ7E8tEKlkSaY0HiYS8XBlP8b0fX+ZnP3rwkfWr3CwupNNcTKcZjERQJQnw081equQpkqJBCfN6qntMiVIp+5DLA/T5NiZ8uq7Ld8dG+MfRa3hkmb7w0n4M2yZdrfDlSxeoGAYf37b9vv0tLuaTzFTzDARjG9qnLIp0+8NcKaSZLOfed0GCd4NP8qOKGg2ngVd6b5vy6jTsOpqo4ZPff/MaSRbp6Fq+oHUiPcPFfHJF4fMGoiDQH4wyVs7yrenLDIUSyBtYuJopFfnxzCQJr+824fNWVEliMBLjUibNOwtzfKhvkF98/iA/PD/GmYl5xlM5ZElEkSRc16VhWGiqzI6uFp7fO7ilwidAWGlHQsF0GnQHQvhkhdlKkXS9QlavIQCyWMF1ZRQhxk8PDvFUew8Jb7MKu0mTJg+WP/7jP+Y3fuM3+M3f/E0A/uRP/oTvfve7/Nmf/Rl/+Id/eNv7/+RP/mTZf//BH/wBX/va1/jGN77RFD9X4tVXX+Xzn/88x44dw7Isfu/3fo+XXnqJS5cu4fcv3QT+03/6T/zxH/8xf/VXf8X27dv5j//xP/Liiy9y9epVgsF782Vp0uRBIQgCPnVj7XGGbfPXo6d4Z3EGn6yiShKvpSa5UkjzqzuOMhze2once9m1vYPzl+cwTXtZNeJ61BsGqiKxY9uj64u12fT5B7lcOk+uWGR6YhFZFvH53m27VBQZj+2Qy5SZnckxMNSKbjeQBYVeXzMN9F6ZzRe5lszQEQndJnwajk3Z0rFdB1EQaQ35mckVGUll2NP1eB3DCS1KoiXKkdhuSmYF23VQRYWIGkS6y4qptRBFAY/4UE9fNg3HtSmbOSzXQBJkAnIUWVxqYb8ynmI+XaSvK7ZqdZ6qyLTGg1wZS5HKlGlvCd3P4T9UOK7LidlZJFFc5qstIROihSAJbAwcbAREZEGl6rGYzleZKhQYiK5fuTxTKvKDyQkiHg8J37tihSpJdIfCZGpVfjA5wd7WNnrDka34mMtwXJcT6WlkQbqt1X0tAorGXLXEqcxcU/wEYmqCDm8Xs/WpOxI/y1aRQf92QnJky8Zm2Daji1mKjQaO4+JTFYYSMUJrCIRbgW5bvJWewicr6wZmCYJAly/MVDnPaCnDzg1Uf55OLVAxDLoC61/DVEnCr6i8OTfDB7r7CHg0PnVsN8/tHuTiTIrxZJaqbqBIEi1hP/t62+ltid4X25SY1ktU6yGjTxBXe4l5vMQ8XqqmQa5RR7cbGK5Jp/c4z7W/iF9pWpY0afJY4HJ/PT+v76tUKi37saZpaNrtFj+GYXDy5En+7b/9t8t+/tJLL/H6669vaJeO41Aul4nFHlyX3EP99PCd73xn2X//5V/+Ja2trZw8eZLnnnsO13X5kz/5E37v936Pn/3ZnwXgv//3/05bWxt//dd/zb/8l//yQQy7SZP7ypVCmtOZOXoCEXzy0iSp1RNgpJThB3OjbAsl7mu1z/BAK62JINl8hfbW8IZ/L5Ot0NMVpbfr8WkbXo92TyetnnbOL1zBMCyisdtbniRJRPMoLCaLdHVHybs5OjxdtHuaqdf3ypWFRSq6QWfk3YetiqUzXy8z2yhRtQ0cF0TAIynIBrw6NvHYiZ838EgqHql5/m4GDbvCXH2EqcpFiuYijmsjCiJ+OUyvbw/dvh2cuzyHIkvrVr8G/RrpbJlrE6kHKn6ats1IKsO1ZJZyo4Eqy3RHw+zpaiPi23qhJlmpMJ7L0eJbuQpPQEBm+YTfryjMlEpcy2Q2JH6eSS5QMXS6gisHe8W9Pq5kM5xNJe+L+JmuV5gs50nchXdnRPNwLjvPT/ftuV4l+/giCiLbAjuZrk1iODqquL73q243EASBbcEdq6aV49ZwsREEL8IK/t5rUTNM3p6e5cTULLPFEs4tfkMxn4/D3Z082ddD+zp2SZvFeCnLfK1Et39j8z6vrGA4NhdyyXXFT922OJWaJ6J5NjyfbfX5mS2XGC/k2BlfKgII+z08vbOPp3f2bWgbW4EoSOwOf4TT+a+R0Sfxy1E0KYgmQcSj07CrdHiPciD2cVSxKXw2adJka+npWR7k+O///b/nC1/4wm3vy2Qy2LZNW9vyZ5y2tjaSyeSG9vVf/st/oVqt8gu/8At3Pd575aEWP99LsVgEuKkWT0xMkEwmeemll26+R9M0nn/+eV5//fVVxU9d19F1/eZ/v1fxbtLkUWK6ksd2nZvCJyytqrd4AkyWc5TMBmF145UK94qmKRw72M+3vn+BUrlBKLj+Q22uUEUQBJ44PLBigM/jiiRIHIwc453qRYSwDqz8EKNpCpVKnWQ1RTDg40Dk6F17lDV5l0KtgSxJNx+20nqVc6UkVctAE2XCsgcRAQeXum2Rsut8e3aEJ5I9HG3vesCjb/KokjeSnMx9l5w+hyxq+KUIkiDj4lC1ipzOf5OLub/n6kIUTZKp6gFUuQNZjCOscN4LgoAsieSLNSzbYXIqw6Ur88wvFADo6oiwZ1cXfb3xLbv+Xl5I853z15jNF7FsB0WSsF0X25kketHHU0M9fHjXti21jKgZBoZt41U2LjIJgoAsCBQbjQ29f6ZUxKsoqwo0giDgUxRmS8UNj+FeqNsmpmPflXipiTK6bdGwzcde/DRtm0rdT77s45p5Ga8YpcUTos0fwLfC8aQ7OhkjzfbgHrq8yx8sXdfAMi9g6G9hWxOAgyj6kZUnULTDSFLHuuMp1Bt86fQ5zs0l8Wsq3ZHQzWpm23HI1up878oI5xdS/LND+9jWsvXVuxXLwHacdas+b0WTJPL6+uGMDdOibporfterbluWsV2HqvHwhU2F1Q6Oxj7LZPVtFmpXKBpJBAR8SoSBwFP0BY6givdv3t6kSZPHl5mZGUKhdxfGV6r6vJX3zm9c193QotQXv/hFvvCFL/C1r32N1tYHF978yIifruvyu7/7uzzzzDPs3bsX4KbKvJICPTU1teq2/vAP/5Df//3f37rBNmlyHxEFYcUqecd1EAXhgYhgRw/2ky/Wee3EKKZpEY34V2wnchyHxWwF3bD48LM72bOjWa34Xnp8fXTkdzEmn6UeyKMafiRbRWDp+3RxMaUGVriCLMZ5OvE83b7bTaeb3DmCIIC7dHZljRpniwvojk1c8S270UsIBGQVW7RxcPiby+dQJYn9LXeWZNukSdnM8nb2WxSNRRJaD6Jwa5CZg0oOx5mmaDbImxASPASsPLo1hyq34lP3Igq3T1xdwLJs/v4bJ7l8ZQHLcvD7lhbM5hcKnD43zb7dXXzspX14PZtbbXRhLsmXTpyjZph0hEN4lHennrbjkK3W+M75a5QbOj97eO+W+bjeOGdd9876ylzYcJiWJIrrbn8pAOn+3JfvpefDvb6Fxz3wKFev8cVL57icWcQmguzPU5NSpGtZxopBtkdb6Q0tVTtajknRLKA7DbYFdnI8/uyyhHjXqVGv/Q2WcWIpnFKMASKOU0avfxXT+Ake3z9DUQ+sOp6GafHl0+c5O5dkIB5dZuEAS8dga8BPwu9jIpvni6fO8etPHaErvLVV38LN/9k4Gw7oFJbO3zs8dZfiph7S4zegJNgb+ThDgQ9QtwsIgkRAjqOIzWC6Jk0eRwTu7Z59N/sDCIVCy8TP1UgkEkiSdFuVZzqdvk2Ley9f+tKX+I3f+A3+9m//lo985CN3O+RN4ZERP//1v/7XnDt3jp/85Ce3vXanCvS/+3f/jt/93d+9+d+lUum2kt8mTR4VhsMJvJJCXq8T1ZZWim3HId2o8mz7AEFl/faszUaSRF58fhdej8KbJ8eZmF7E59UIBjyIooDjOBRLDRq6STTi48PP7eTYwf6HdpJ6P3Ecl9lskUK1jmU7qLJEb2g7sycKBPc3qPlyGFoVXOFmErxZgajeyce6f4rewINr53q/0RL0YzsOtuNwrZKhZpu3CZ+3Yrsu/cEIum3xzbGr7Igl7qgKpkmTq6W3yBspWrTe2wSyhjlCwxpDFH3EtBDBuEN2RqQjHgNMdGseFwioBxBuEVwcx8WybMYnFilmanR0hPF5lwuc1ZrOqbPTAPz0Jw9tWgVovlrnH05domFa9Mejt507kijSGgzgVRTeGJ2mJxbh+NDWLN6ENA2volAxDKLejVVVua6L7Tgbfv+2WJzTyYWbCe/vxXFdGpbFtvvkd+WXVTyyTN0y7/haVLcMgooHj3Rn7djvJ6qmwf+6eJYLiyn6QxG8SgyHBFVhhpo8T9UqcDFfoGSHiXm9iIhE1QSHg0+yM7gH5Za2Zdd1adS/gmm8hiT2IYi3WhFEccVOHHuSevV/IYgBZHloxTGdX0hyYSFFf+x24fNWREFgIB5lZDHLKyMT/NLR1QXVzSCqeVFFiZplLOtEWg3XddFti1bP+m35fkUlpGnkarU1w45upWoaaJJMWHu4xUSvHMIrP75ezE2aNHk0UFWVI0eO8PLLL/MzP/MzN3/+8ssv8+lPf3rV3/viF7/Ir//6r/PFL36RT37yk/djqGvySDyV/fZv/zZf//rX+dGPfkR397uJm+3tS1U1yWSSjo5320TWU6BXM3Jt0uRRZCiU4PmOIX44P0qmUUUSBHTbZiAU4yNd2x/YuCRJ5Pmnt7NvVxdXRpOcOT9DvlilUK5jWg5+v8rw9jaOHuhj91DHYy98NgyLSzMpTo3NMp7K0TCspWU5FxRBoGh5Md7yMzTch+4vYEsmIGBWXWqTMh/5yHF6Q03hczPZ3dnK930epsoFckadkLy635hp20iiSFsogM+z5BN4JbvIgdb1WxibNAEomznm66ME5dhtwqftVNGtaUTBgyQsCXGDgzapaZuybhLyKMhiBNNOYdoZVPndquN8qYYoCBSyNbo6wni9twsTfp9GW1uIC5fnOXigj4G+lT0rV8N1XVxur2i8MJciVaow3Lq293TQo5Gv1jkxMcOx/u4tqf5M+Hzsbm3l7dnZDYuZxUaDsMfD7paNBQceaG3nhxPjzJVL9ISWex+6rstcuUTC62N/2/2pCk94/OyMtHJycZaItvE2Wtd1KRk6L3QObyiJ+/3K2VSSS5k0Q5HYzdZ/EYWgO4ifHkJSlmR9kVJZ4kPte2nztNLl7Vkmet7AsScxjXcQxa73CJ9LCIKAKPVj21cw9R+vKH46rsuJqVkkUVhWQb0aoiDQGvBzMZkiXa7QGtw6/8/+QIz+YIyJco6B4PrifsXU8csq++Prd/zIoshTnT186fL5VRcW3kuqWmVbNEb/ffDWbdKkSZN75gEFHt0Jv/u7v8sv//Ivc/ToUY4fP85f/MVfMD09zb/6V/8KWCownJub43/8j/8BLAmfv/Irv8J//a//laeeeupm1ajX6yUc3nguyGbyUIufruvy27/92/z93/89r7zyCgMDA8teHxgYoL29nZdffplDhw4BS0lUr776Kn/0R3/0IIbcpMlNHNdBQNhyUU8UBD7Vt5uhcJwLuSRV02AwFOdQopOotnKww/0kFvVzeH8vhuvw9vlJHFNHRsSWBa7MLjKRztN/YZoje3rYN9z5WIqg2VKVr7xxnmtzGWRRIBEOELjeeuq6LsVag0KizrW5AqmLDXYFI3gUhUqlgSgIHDs2wJEnV64S2UxK1QaXp1LMpgvopoXfozLUlWC4pwVtAw9ijxotQT/7uzv464tnMSSbiLKy753rupQaDdqCASI+L4KwZEdwJp1sip9NNkyqMUHDrtKi3e7PZ9opHFdHFt99raPLItbeYCapsaNbQZZlcFwMe/6m+Fmt6RRKNYKaSl3XVxQ+b+D3aaTTZS5dnt+Q+Gm7NrO1BUYqY8zVF7AdG1XS2BboZygwQEyO8vbkLD5V3VCKcmvIz0y2wEQmx3DbxsXXumFyZX6R+VyRhmXj1xQGWmIMtcWXiaiCIHCks5NT8/OUdZ3gOovgjuuyUKlwvLeXtsDGRKMWv59P79jF3166wLVshlZ/AI8s07As0tUKfkXl0zt20eK78wCiu0EQBI629HAyM0fDtvBssPqzYDQIqtqGhKn3K47r8ub8NJokgWiTtrLk7DymayIiEhD9xOQYnUqC6UIR1eqn37/69d40zuC6NURx9cpmQRAQxTZM4zyaJ40oLfdFmy0Umczladng8QgQ8Xq4tpjhSjqzpeKnJIo82drLaDFDxdQJrNF1ZLsO87USB+Nd9AYiG9r+/tZ2vj85xkKlTFdw7UrJqmHguA5PdvZs2LKiSZMmTZqszec+9zmy2Sz/4T/8BxYWFti7dy//+I//SF/fUvHNwsIC09PTN9//53/+51iWxec//3k+//nP3/z5r/7qr/JXf/VX93v4wEMufn7+85/nr//6r/na175GMBi8qRaHw2G8Xi+CIPA7v/M7/MEf/AHDw8MMDw/zB3/wB/h8Pn7xF3/xAY++yeNI3TK4UkxyKjdFsl5EEAR6fTEOxfvYHmpFETfvlHMcl8VyFcuxCXo09sU62Bd7+ISWSk3n7//pLBfHkvg8CoO9Lai3iEjVusH4bIbxuQypbJkXntz+WE1W85U6f/2j04yncvS3RlHf08YmCAIRv5eD27tZjIcYmV5kxtTZrmrs2tvNnoO9DO/sQNrCoBDLsnnlzBhvX54mV6ohiQKiKGLZNm9cmKI9HuSFw8Psex9W8H5833a+MztCKluhLph4VPmm3yq4NEyLqm4Q9XvZ2dnKjY/vlWUy9eoDG/cNTDtH1ThHzbiC4zaQxRgBbT8+ddeK3pBNHhwNu3rT2+692G4ZEG859kCWYe+TJUZPaMwnPXg8EPB7cJwirtUgV6zhOi5PHOhndiKDaK8/Bq9XYSFZWPd9BaPEK4s/Ybo2h+3a+KWllt+KWeb1zAlO588z5NtGvlYloG3MQ9SjKFiOS6mur/9mlu6Bb4xM8ZMrkySLFVzXRRQFbMdFlUT6ElE+sm8bO7veFZB2trTwZHc3P56aolsQCKgrj812HMYLBbpCIV4cGrqj69oTXd0ENY3XZqa4ls1QaNRRJYkjHZ083dPHrsTGqkjvBtd1qdsGLuCVFERBZEe4lV2RVs7nFtgWiiOLa98r6pZJql7mgx1DdPiCWzbWh52qaZCqVLDkMpf0KRqOjiSIiEiAS9kqk7YXCYshLIJkamtf7217FgHvuseSIIRxnAyOk7lN/KzoBg3LwqfeWWiXKAj3JfjnaEsP46UcP06O0+4NElZv75bQbYvJcp4ef4RP9+/d8LnV4vPzU9t28OXL55mvlOnwB1b83bKhM1cu8XR3L4fbl8R713VxXTa0CNOkSZMmTVbnt37rt/it3/qtFV97r6D5yiuvbP2A7pCHWvz8sz/7MwA++MEPLvv5X/7lX/Jrv/ZrAPybf/NvqNfr/NZv/Rb5fJ4nn3yS733vewSDj++ErcmDYbFR5suTbzNWXkQSBAKyBxeXU7lpzuRn2Bvp4uf6jhBU7s1/yHFczkzPc2JshulcEdtx8Coy+3o6eHq4j47Iw3PsG6bF1185z/mReXo7Ymjq7Zccv1fF741RKNX44dsjeDSFZw9vfRXjw4DrunzjxCXGk3kG2+Prtnq2xEMEgl5mMkV2HRrmpcM7tnyMlu3wzdcv8fr5CUIBD4OdMcRbxGnDsknlynzllbPopsWxXe+vsKWAR+OJ/m6yZg1Hd8lV6+9Kn66LJst0RcMMt8Xx3sED6Vbjui4l/U2y1W9i2VlEQUMQZGrOCGX9LTRpEL/wGcbTMnPFMkgCbZEgezpbCXkfbo+0Ju/iC9g88VwZNR3l0lWXTF7EdUTC/gZDvS0c3NXFnu2d/P/+8lU2q5+qZJb5bvKfmK0v0K61oEnLRXTXdSlbVc4Wz1HySsT1bRve9kbDiFzX5XvnRnj5wggeWaavJYJySyJ53TCZWMzzv187w2ef3MeBvqWFQVkU+dnduwF4c2aGFNDq9xNQVQRBwLRtFqtVSrpOTzjMPz9wgM4NBAG8l12JFnbGE2RqNeqWiVdWSPhW9wu+VxzX4VJxjlPZCWZrWVxc2rwRDkX7ORDt43NDB6lbJqPFDF2BMAFZXdEvv2DUSdUrHEl035Ew9X7EdV1y7iI50nhdlZAYvO37MF2LnJPDEsvU7Z2bPILN++7vNCioYJSYrc9hOCYhOUCvvxt1hVb+96KIEp8d3I8iSpxIT5GslQlrHlRRwnZdSkYDWPKq/2dDh2i/Q3H96a5eXBe+OXqFq7kMIVUjqGkICDRsi1y9hiJKPNvTz8/t2EO+WOP8yDwXxxYwTJvWWJCDO7rYNdCG+j7sVmnSpMmjzCPQ9/4+4KG+8m9kEiwIAl/4whf4whe+sPUDatJkFcpmg7+ZOMFYeZGBQHxZhWerJ0TdMjidWyoD/6XBJ++6AtR1XV6+MMLLF0cRcIkH/SiSSKVh8MqVca4lM/zi8YP0JSKb8bHumWuTaS6MLtDTHl1R+LyVSMiHadn85NQY+4Y7iAQffMv+VjOTKXJ1Lk1nLLhhjzuvqhD2aZwcn+MDuwfwb3Iy83s5dXWWNy5O0RYLEvDdXimoyhI9rRGS2RLfeesKHYkQ3S2RLR3T/aY9EKQtEqAvEGGxXKVuWLi4eBSZRMC/VNn2nufUumWR8N6f1taVqOjvsFj+MoIg41W2I1z3YqzXdHLpHHO5N3n1aoqJ+V5sR0ZRZMIxPwNdCX7h+AF2d7aus4cmm41H8oPrrhjaKAlBwMHFXVb9abs2Ub/Cjn0C+3bCQiaNKu2mJ/4siWjgZqVTZ0eEhWQR1ik6rNdNOjsia77nzexJZusLdHs7kITbqwgFQSCkBJAEiUnvKFndT4z1BdC6YaJIEiHv+hXJ52eS/ODiKFGfl2jgdi9Lr6ow0BplNlfka+9coj0SpC281PLrURR+fu9edrS08PbsLCPZLPPlMrDUutvm9/PhoSEOd3WR8N39fUgQBBI+Hw3TQjctynUdr6YsE2k3A8d1+N7CeX6cvozjOkRUPwIwUUkzWk4yUUnz6Z6j/PrOJ/i78XNczqeZt4uEVS8eScbFpW6ZlEydkOLhgx1DfLp/L1754VnMeRAsGnlqch7bEPApK/ulKoKMzwmQFnJMG7PA3lW3J0ndWObZdUNZXbeIIAQQxdvtLwLaUoBVzTA3XFG95MfLqlXOt+K4Dm/nTnO2cJGqVQVBQEAgocV5ruUpen3d625Dk2R+fnA/x9v6OJOZ43R2HsO2kAWRw4lujrb0sCPScldhgIIg8ExPH9uiMc6kFjixMEtJ13FxUSWZZ3v6OdLeybZonLHZLP/ww3NkClWCXhVZlrg2nebKVJoDw5185kP78DxEC5ZNmjRp0mTreajFzyZNHhXO5WevC58JlBVayryySq8vxoXCHNdKKfZEuu5qPyOpLD+4PEbYqxELvPtQ5lEUYgEf4+kc/3DqIr/14aduPmA5roPlWoiISIJ03yo5XNfl9JVZREHAo21sghmPBJiYzXB5PMXxAwPr/8IjzvmpBWqGRVf8zgTMeNDPZDrHpZkUx4Z7tmh0S1Wf71yZRpHFFYXPW2mLBRmby3J+bOF9J37uSbTyw+lxbFx645F136/bFgAHW+9PqMl7cVydXO17AGjy0rXGMCymR1NkkkXqdZO3CwMkLYmWcBmr1I5Rt6hOFTiVLrMwl+P//c9epK/1/iRSP+xYjs10NUvFWmrH9ssavf74itf6tXBdl0KxRkO3EEWBUNCD95bFi3bPIB4pQN0u4ZOXG8ErchuiNYbj1pAE/81xCYJIi7pUmShKDVpaLNqDTxLQlldU7dnVxdnzM9Tqxm1J7zeoVnVURWL3ztV9HnNGgYnqFFElsqLweSt+2UvM72e+nMJ2BpDW+b7S5Qq98QgDibWPO9d1OTE2s5TCvoLweQNBEOiOhRlJZjg/vUDbvuGbrymSxJHOTg53dDBTLFJoNK53USj0RSJ4lXsTRUzbZnQ+w5mJeUYXsli2gyCAT1M5PNjF3r522iIrt+3eKRcLs/w4fZmw4iOivjsviKh+qpbOiewYHb4oH2jZwW/sfJLJco4zmXnO5ebRbRtBgJDq4YWuYQ7EO2n33l7h+DhysTRF2KNS18F2XKRVWqarlklEDlByi2T1EnFt5UphRT2Eof/wurgZWfE9ruviOClU7dnbWt4BuiPhmwnuAW1j1+d8vUHYo7GzbX27hXOFi7yZfQe/5KPbu+TBbjkWKSPDy6lX+XTnx0is4En8XgRBoCcQoScQ4af6dmM4NrIgbpqlUXsgyMcCQT7YN0jZ0HFcF5+iEFSX5inFSp1vvHqeUqXBtu74zeM5EfFT101OX5klEfHzkSe3vnumSZMmTTZEs/DzvtAUP5s0uUcsx+btzAReSVnzYdgrq0uCYHb6rsXP05Nz6Ja1ogAjXn/Qm84UGElmaE1IjFXGGKuMYbomAgJxNc724HZ6fb23tSpuNqlsmYm5LLGIH8uyyRZr5ItVDMtBlgRCfg+JaGCZMCqKAh6PwunLszy1v/99/QBmWjbnJhaI+FdPEF8NWRKRJZELU8ktFT8nF7LMLhZpi60fkiAIAuGAh7Mj8zx3YAj/GsEqjxqDkRhDkRiXsosMR2PrVO24zJXLdAfD7IxvnbffWtSMSxj2PJq8ZEDeqBuMXJglt1jG61MxvFEyiwESviqqv0jd6kDzeJf8Ams64zOL/OXf/Ij/1298HK//8fUFrVo65/IzvJOdYLaWx3KWTDNlQaTTF+VofIAD0R4C61iZGKbFyESacxdnmZzNYlk2giDg92ns29XF7u0ddLSGCShROr3DjFVO45GCy5LTJcGPJvdRN0cAAQEPFadBSPYRUXw30+CDnmP41N23jaG/L8GenZ2cPjdDR3sYn2/5+Vmt6iRTJY4c7qOne3VRZbI6TcWq0uvd2D2sP9xGujzORG6OoVDPqudOuaFj2Q5PDKyf9D6bKzKWzNEa3th1Kej1cHJ8jmd3DtwWzCYIAr2RCJtp1jGTKfC1Ny8ynSngOC7RgBe/Z+n+X2kYfOvkZX50cZxDg118/MhOPOt0RayF67qcyk3guO4y4fMGflnDKymczI7zRHwIRZQZDMUZDMX5VP9uGraFiIBHkh8rr+31KBhVrpRm6AvEccwSqVqViOpBueXYdF0om0sLIjui7VTtGtfKcxxfRfwUpT4U9SiG/ioCym2J767r4tgTiGIcRXt25W0IAsd6u7mcytAwrXUT3x3XJV2u8OxgHy2BtTsRdFvnXPESqqgSUd9dfJFFmU6tjZn6PFfLoxsSP29FEIS7qvLcCB5ZxiPfvu3L4ynSuQqDXbffr72aQsivcfrqHMf3D7yv5ipNmjRp0mRtmuJnkyb3SMlskNWrKz54vJeQ4mWqmsVxnWUPthvBcVxGUlnCa/jxeRQZ07H4wfQJPHqKul3HL/uRhaXWtqnaFJO1SRJqgudanqPDu3UBSZWaTkM3cRyXi6k81fqS2b4oCLguzC+W8Mzn6GgJ0d8ZR7r+UOHVVMq1BqZlv689meqGiW5Zd+0TqSkKxVpjk0e1nEKljmU7G24NC3o1MsUapWrjffVAIQoCnxjaQbJWYaJYoD8cQVxBxHFdl5lyEY8s86mhHVv2wLcehp3GdR1EQcU0LEYvzpFbLBOO+hAlkVxGwXYFVEFGlBqIko5hSViOg+xRCMtwbmqBl796ko9/7gmUexBnHlWyeoWvTL3D1dICHlGh3RPGIy2dB7ptkm6U+Mr025zJT/Pzfcdo9awseJTKdb7xvXNcHUuBALGwDzW4JDRXqjo//MlV3j4zyfPHt/PU4UF2hJ4kbyyQ1WeJa12It1RXepVtgEvdmKRkl1BFhR7VS8MaRRQUgp4nSAR+AVG4/dyTJZGPv7QPBIGLl+dIpZ2bAmitZqAoEkcO9/Gxj+y9eS1e8fOYZSRB3PCCTVjz0xH1U6m4TGTydEZCywQb23HIVmoU6w2eGe7naP/6bbWFaoO6YdIV25gXZ9CjUao1KNf128TPzWYyleOLPz5DplSjJxG+bX8hn4f2SIBitcGPLo5Tbuj8wgcO3LUAWrV0ZmtZomvMP6JqgIxeJqOX6fBGb/5cEaU7rl5+XChbNeqWQbs3yv5WH+fTKTL1Ko7hIosijruUWO6VFXbF43QHQ0zWGuSN8qrbFAQBj/ezuK6FZZzAdVxEIQaChOvWcJ0iotSGx/fPkOXBVbezv7OdA51tnJpdoD8WXVUAdVyXiWyejnCQ57at30mTMXIUjCItK4ibgiDgk7yMV6Z4Ov7EQ78wPTGfQ5HFZf7ktxIL+ZhNF0lmSwx1J+7z6B4tTMdkqjpP1ijg4BKS/Qz6e/DKTW/wJk02E8Fd+nc/9/c48vg90TR5JHBdl/lymfF8HttxaPX7GY7HN90razNwr9epb2Qq+G5G9N3tx3XdFUWXGziuQ0bPIlfKHOqMEVfjyyapYSWM5Vik9TQvp17mxbYXt0wAdV2XTKFKudpAkkRCfs+yyhLXdanrJhNzOXTDYudAG6IoIgjgOksT9/czrnvnIQS3IrD139Edb16A60cqAJY9j6GfwbInAAlF2YGqHkQSo2tt5aFkKBLjX+w+yN9cPrcUtKBpJLw+ZFHEdlxyjRqFRoOY18dnt+9hX8uDaXlf4t0/XGouRzZdIhRZEj6Xv7p0zcjX6+RKJrbrIACuLBLSFM6/M87grg72Hn3/W1DcStls8OXJE1wrJekPJFDf49GsSQrdvhimYzNaTvHlyRP88uDThN8jQNXqBn//7dNcHUvR0xFFe4/9h9ejkogFyOarfPeVSwA8fXSIY/FPcjL3XTL6LLKg4JcjSIKMg4PuRtFFh7BkMeTzE1P8aHIHfvUQXmUbwhqt6D6fxmd+6hCH9vdy8fIcC6kiAPt2d7N7Vye93bE1hU/YeCDRrYS9Hp7es41Low2ms0shfbIk4jgutusS9/v4xP4dvLBraEPexzeuLxsVYITrv7PV18tcpcZXXj9PrlJjqH31CnFBEIgEvGiqzOmxOYJejc88ueeuBKUbV1thjRnI0oLj1n/+9xNLPplL36xHljnS0UWuXiNZrVAzDSRBJO710eYPLLNIWO87FkQfXv8vY6mHMY23sK1xXNdCFEPInhdR1ENI0tr3Dk2W+fmD+3BcODefxKsotAT8N0VQ23HIVGsUanU6IyE+d2gfXeH1Fwoc98YnXvkcFAUB23XW3c7DwHq+qoIgLH3e5jmxJmOVaV7LnCLVyOC47tL8HIgqIQ5H93A4uvuOCzmaNGnS5EHSFD+bPHQ0LJOvXb7CO/NzVAwDAQFJFBiIRPnsnj30RiIPeojLCMoegrKHstVYt/2xYukMh1qR7mKyIIki3bEw52dTJIIrty+l6xkqVpmOcISgvHKKpizKdHg6WGgs8JPMT/hM12dQxM03fV/MV8jkK3g1haDv9u9FEAR8HhVFllhYLOH3avR1xtANi5Dfg7pCK9P7CU2RUSQRw7Lv6vcNyybg2dqW5IBXQxQETMtGkddfeKg1TDRVxu9Raeg/oVr7B1wnC4IPcDCMt2k0foDf/0uoymYn424es7kip6bmmc+XiPg87O9pZ2dHK7viLXz+8FOcTs3x1sIsc+UytuMgigIxj5efGtrJ4bZOuoJ3ng69mchiFBCwTIPUXAFVlZHkd685Yc1CEMBwTEzTJVO2EZBQJWkpJd6xUBoO8yWHc2+Ns/tw36oVNO9HTmTGuFpKMhhIrBlOp4gSg/4WRsspXl8c5eNd+5e9/tapCa6Opejtiq1axS4IAolYADdb5kdvXGOor4W2ljY+0PJzzNdHmKpcoGguYmMjIuKXw+wKP02Xb5iAfOeLCJIkMjjQwuDA3VkyBBQ/tuusKy7cwHBMJER2trXzod4ORtNZriUzVHQDRRLpjobZ09W2ZkfDbWPwaKiyRN0wN1Q5X7v+vsAWh8Odm1xgLltkqCO+oe/Gqyq0hAOcHp/j6Z19tEXuLPkawCdrJLQgs7XsbeL7DYpGjbDqI6aubxPQZAmf7EGTFOq2jiL6EAWBhM9Pwrfy3Mt1XWzHIaSs3wEkCAqKehBZOQBuAxcLQfAiCBuf84S9Hn752EHenp7jxNQss8WlRYUbMnjM5+Wju4Z5sq+HtuDG/u5xNUJA8VO2ykTVyG2vV+0aQ4GBh77qE6CrNczZa7OrXqeKlQZBv4dE5PE9JyzbQTctXNdFU+XbiktGylN8N/ljdMegzZNAvf6cYLs2OaPID9NvYTgGx+OHHoljokmTJk2gKX42echwXZevXb7CDycmaAv46QwuGe83LIvRXJb/dfYs/+qJJ4h5Vw85uN+oksyReB9fnz1Lm2f1dnbTsTFdh8Px/rve15H+Ls7Ppqg0jNse5BzHYTSTIhgQ6Gtd+yFKEARatBYW9UVm67MM+De/sms+XUJV5HWrXBVZWhJAM0U6W0NUajrPHBq8mVL8fsWjyuzsbuWNq9MkQneWCu44Lg3TZHfP1iZyD3TGaIsFyBSrdMTXF/Ty5RpP7enHq01SLv8tICDLu29OjF3XxrLGqVb/J1Lw/4kkPXztZhfnUnz5xDny1TpeVUG3LE5OzfHhXdv46L5hWn1+Pjqwnee6B5ivltFtC1WUaPcHN5Smez/wqbtRpATZ7BS1SoNgePn1ssNvkPAYLNQFhJofVfAiiEtVZIYAHmQSgkJe0Dl7YYrnJrN0Dz4Y/9L7Td02eCc7SUjxrCl83kAWJSKqn9O5KZ5t3X5zAaxWNzh7aZZQwLsh+45ELMDYdIZL1xZoawnhkfwMBg7S799HxcpjOQaSoOCXw8jigzvOen3deCUPNbuOX15f6Flqo03Q6WlHFiV2dbSyq+Perlu98Qi9iQjT2QJ9ibUFYNd1KVRrvLB3G74NpmPfDbpp8c7ILAGvdkfemRG/h5H5ChemknclfkqCyJH4IJPVRWqWgU9e/hkNx6Jo1jjesh2v/HBcnx4F4mqQQX8Hl0pTGxI0K1YDn6yxLbhxP3dBEEDwbqhraCW8isJzQ/081d/DWCZHsd5YCv5RFYbiMYJ3uDjqk33sCg7zRvYdNEnDJy3dN1zXJWvk8IpedoaG19nKw8GugTZeOzNOKlem/T1zF9OyyZZqPHNwgEjw4XmWuB+4rstCrsyFySRnxufRTRPXBVWW2NPXzv6BDnpaIpiuyU8y72A4Jl3etmXbkASJFi1GwShxMneRoUAvbZ6Hby7XpEmTJivx+JRyNHkkWKhUODk/T1vAT9TrvSmaeGSZoViM6WKR0wsLD3iUt3Mg1kunN8JENbus7clxXXL5KiPjSV4bHcVO2lRG6uQL1bvaz66uVp4c7Ga+UCJZLGPZSy1INd3gcmoBU6hzZEcEVVn/1L5R7TlSHrmrsaxFtljl6lSKnvYojuPiOGu3Snk9CtW6wfRCnoBPY8/Q1nmR3sB1XaaLBU4uzPH2/CyXMumbKd0boazrjOdyXMtkmCuV7qql8MBAJ7IkUDfMO/q9fLVO1O9ld2/b+m++BzyqwuHt3VTrBg1j7e8mX66jKTL7hzrQG6/hulVkuXtZRYAgSMjyEJa9gGGc2tKx3w26afGts1eo6ibDbQl6YhG2tSYIaBqvXh1nKlu4+V6vojAUibE73sq2aPyhET4BZDFI2Psc1XIWxVO92e7+7usuT/SN4hNMsrUYNcGmjE3WtSi7Nq6xVP1Z00TmCyUmRpIP6JNsLZbjUKw3KNYbWNevUSOlFGm9RELbuBAVV/1k9QrXSu9+T6OTabL5CrHI+sIJLAkhIb+Hc5dn0fV3rweiIBFSEsS0TsJqywMVPgFatQQ93k6yZn7dllHDMWk4OrtCw8gbEJI3iiyJHBvqxrIdqg1jzfdmyjX8Ho0DvVt7TxlP5UgVyne8kCUIAkGfxqnxOUz77roADkT6OBTtZ76eY6Gep2Eb6LZJqlFkqpJhV7ibpxKPhmj1sCAIAvujS1WOFbO+5nsd12FRLzAYaKfDc/8sXRqmxbmpBV6/MsnCYgnBdNnZkuBgV8cdC583OBo7yL7wbopmienaHHP1Babrc4iCxLMtT9G1hT7xm0lrLMhLx3fiOC7jczkK5TrVuk4yW2ZyPsdwT4Lnj2x70MO8r5TrOl/+0Vn+v996g++cvEJNN1AkCU2RMCybV86N8hfffpP/8U/vcDo5SkbP06KtHn4XVoJU7Toj5an7+Ck2n7pdIW8kKRgpDHvtc71JkyaPPs3KzyYPFeO5HGVDp2OFNh1JFPEpMudTST48uLoZ/IMg4Qnw8/1H+fLk24yWUwQVL3bVYXY+R7ZexRJsQoYXX1bh+41LvP3GBLt3dfHB53bg8218kqpIEj9zdA8xv48TEzNMZvI4rosmy3QmvLTGRAY7Nt5y65E8ZI3s3XzkNcmXalTrBr3tUcq1BvlSnUjAu2o1pySKWJZDJl/l2UNDtGwgXfxucV2X84spXpuZZiSXoWZZCNfH0BEI8nRXD8e7e/DIK7dTJstlTszOcnJ+nkJjqdJCkyQGo1Ge6OnhYEcH8gYrfwbaYvS3xhhdyDDYHl/Tz/UGpmWTKVV5fs8gscDGhJV74cndfUwl85wbm6cjHsLvVZcJmo7rkivWKNUafPjIdgY6fBRL1xDFlSsBBEFEFHwY5nm83pe2fPx3wmQmT7JQpicWWfYZY34vI6kao+ks/etUmj0sRL0fojj7Dqr3LdTgHLbpB0dEkA1EqYEn7yWwGCLeCJBydQxcJAc8tojiCtRxsCSXgsfh9dFpPvDi3vdNNXa+VufcfJK3J2fJ15cediJeL0/0dVPVKuByR0Ew8vX3Fm8RSUrlBq4L8gbsIm4Q8GsUy3XKVf02f9CHBUEQeDJ+lKyZZ66RpNPTtmK3g24bJPU02wID7Axt3/RxHB7oYiKd542RaRJBH1G/d9k5azsO6WIF3bT55KEd9CYimz6GW6nUdRzXRb2Dv/cNfKpKrWGim9Zd+Zqrksxneo7R4Y1wMjfJYqOMC4QVL091DnM8sX1dS54mt7M92MXR6DBvZq/g4BKUvbe191qOzUxtkVZPhBfaDtyX9l/Ttnn96hQnRmdIFsrLFl7DPg/7ezv44F3OD1RR5SNtz7ErNMxUdRbd0YmoYQb8fcRWaIV/WGjYBlm9gI1DWPYTVoMc2dVDKODlnUvTTMxlqesmQb/GMwcHObq7h6D/8TknyrUGX3zlDFdm07RFgnTEgrcdqy1hPzXd5NzEAhcWdQLDNopvdZlAEAS8kofp2jxwZMNjsV2LxcYUc/WrlM0sIBBV2+n27iKmdd6Xc2ipmnmWmeol5uvXMB0dBPCIAXp8u+nx7yakNKtZm9xn7jUM4m729xjSFD+bPFTcCNxY7eYniXfvkbjVDAZb+M3hZzmTm+Hl0UtcnV7Ashziqp8BIUGHEMbTqeA4LsVSjTfeGiVfqPIzP334jgRQVZZ5cd8wT2/vYzpbwLQdQh6Nmprkh4uTdzRmAQHnDvzbNorrLF1TVVVm50Abl8aSFMo1vB4VjyovF88cl7pu0DBMhnp6+MjxnVs2+XFdl3+aHOebo1cxHZtWX4BudUnM0y2LdK3Kly6fZzSf4xf37Mf/nmq+a5kMXzx/noVymZjHQ1cwiCSK1E2Tq9kslzMZRrJZfnb3brQNeJbKkshPP7Gb//XKKSZSOfpbo2u2TBqWzWQ6x46uFj584P5ULXg0hZ/74AE0VebCeJJkrozfqyKJIqZlU9NNwn4PH3tyF88dHESggouDIKwl3si47toVWw8C07axXfe20Jcbx6P5kF57VkIQJCpzx8gVfXTvyuKJTIPgYDfCVHNHGR2NkM3UqasWmisQQkK6cd5d/z/LtakCZ5OLvHz6Gi8d3v7Ie3uNZXJ8+dQ5ZgslAqp6s0IqU6nyt6cv4IYaWEED7rwDeVkYyFK1+51NLAVh6RrlOA/3hLTVk+CjbS/wT+kfM1tfQBUVgnIAURAxHYuSVUYAdgS38aHWZ/BIm+9NrEgSP3NsDx5V5uT4HCPJDF5VuTlHMG2beMDHxw/u5OntvVt+3DqOu2bo0FoshYjc299dkxSea9vNk4lhFvUyuC4xLYBP3lpf6PczkiDyUscRREHkVH6UjF4kpPhQRQXHdSiZNWzXocsX51OdT9J2H6o+Tcvmqycu8ObINH5NpTceuenH7Tgu+WqdVy+NM50t8EvPHKQldOcLyaIg0uProse38Rb+B0Xd1jmVu8zF4hgFc0kI9koetgd7OBzbxfbeFoZ7EpSqDSzbIeDV0NTH69HXsh3+/vWLXJlJ098eW3WBRhAE/B6VofY4J6ZGSRkmg1EHVV19TroUgrXxeVHFynMm913S+hS6Y1A1TQpmGcMxUMVvMRzcw3Otnyaqbp3Njuu6jFVOcqn4Ywynjl8OE1SWKlwbdoVLpR8xU7vIwehLtHuHtmwcTZo0eTA8XneAJg89rf4A8nUx6dYEzRtUDYNjXd0PYGQbI+EJckDt4fTZKVS9i/a2MB5bQbrFYUIUBaIRP36fxpWrC/zglcv81CcO3vG+/JrKrs53vdMmqgVgyYxcWiPx91ZMxySqRjf9wdDrUVAViYZh4vdq7B3uZHIuSyZfIV+qI4oCgnA9GdVdSj1uiwV5/tjwlk5MT6UW+MbIFXyKSp8/suw1TZbpCYWpWyZvL8zhVWR+ac+7lRwL5TJfPHeObK3GjvjyKs2gphHUNMq6zo8nJ/EpCp/etWtDY+qKh/ncswf5yuvnGFvIEvJ5iId8yyqAdNMiXazQMCx2dbfxc0/vI7RCiNRW4feq/MILBzm+t8D5sQXG57MYpoU/7GfPYAe7+9uIh5faPV3XjyS2YNvTsEqqu+uWkeUn7tv4N0pHJETY6yFXqS0LFdNNC0kU6Iw+2CCjO8Xr1yiPJigHdlGecRBEG9eRAQHBKpIXKjiOiE8QV7wGOC5oLkT8Xl49N0Z3IsyevgeZYn9vLBTLfPGdsyxWqmxvTSw7h8NeD47rcio3yaJdZDDQQsizsXPsRpK2V3p3scSjKdcX8Te+sKQbFooi4fU8nFWft9LhbeNnuz7BeHWKS6Vr5I0CjusgCRLbg4PsCA7T5+ve1Hb396IpMp85uofjw32cn15gLJVDtywCHpXdXW3s7m4ldAdBSvc0FlW+mSi/kQr+WzEsG1mSNiXkT5MUun2rt6o2uTNUUeZjHUfYF+nnYmGKy+UZdNtEFAQGA+0ciAwyHOy6byLzq5fGeXNkmo5I8LbAQ1EUiAd9hH0extNZvvLmBX7zhWMbCit8FKlZDb45/yOulacJyF5atCgiIlW7zsn8FSZrC3yq8zm6fW2EA4+Xt+etjC1kuTSdpLslvKHKdEkS6W4JcW6+yEKyQV/v6hXEdVtnyN+7oXE07Aonc99isTGJIkZY1MtUrRqKIOORNAxH53ThHRYaC/xs92/Q6unc8Ge8E+bqV7hQeAVFVGn19C17TRE1AnKMnLHAqfx3OC79LFH10bB6aNKkycZoip9NHiqG43EGojFGslmGYsur4FKVCj5F5XDHw30junR5jlKuzuBAy5qVIKoqE48HuHxlnuNPbiMev7dW7w5PBxElQtEsElPXf/hxXAfd0RkKbP7KZkdLiO62CNPJPL3tKl5NYddgO7WGQSZfpVrXsW0HWZaIBL1IkoDrCuzo37oAH9tx+NHUJI7r0upfxZfNdREtCAsqr09McSTWwa7OJV/NE7OzLJTL7EgkVn24DWoacdvmzZkZnu7tpWW1/byH/tYo/8eHj3FmfI53RueYShduDAgQkESB7niYI9u6OTjQiX+LU4tXQhAEetui9LatXd0iCBIe7TiV6giOU0UUl38Htp1FELxo6sbbpO4X8YCPJwZ7+P7FEUzbIezVqJsWmUqVPV1t7Gx/tEJ/OvsTnD8xgeO4iKKI69yyCKPK2KKA7LoIK7Szu4Bl2/hVhY5EiJJtc3Jkjt29bY9s9efrE1MslMq3CZ83EAWBnZF2FkqLXMsucrSrZ0PbLZkNgoqHweC7x8dAb4KAX6NUaRDeYKhGvlDj4N4eAv5Ho1rPJ/vYG97F7tAOKlYV27VRRAW/5Luvx0hbOEDbvmE+su++7fI2elsihHweCpU6seCdtRsXqnWe3N6L5zGrSHtUWKqEbKHH18KHnYPojokkSHhE5b4e55WGzlujM4S82m3C563IkkhfIspYKsu1hUX29Dy6C1Zr8Vb2PNfKU3R5W28mkQOExQBB2c9sPcXLyTf5pf5PLHv9cePs+Dy27dxR4FuLL4oqLTA6WaC353a7B1iyNhER2BHaWGDqVPUC6cYkEaWDq+UJanaNsBy4uW2vpOFzPKQbC3w/9XV+rvvX0KTNXbyyXYuR8gnAJajEV3yPIAjE1A4W9SkmKmeIxh7uZ84mTZrcGc2ZVpOHClkU+fk9e/ifZ88wksvhlWVkUaRiGPgVlU9u385Q7OGtamg0TM6dnyUY9GxoUhwOeRmfWOTKtQU+cPzeAgk8kofh4DBvZd8irITXrf4smAWCcvCekt4dxyWVLVPXDSRRJHG9olUSRQ7v6mZ8NktDN/Fc96/zeVR6O25PqR+byXL8QP/N6sGt4EI6zdlkkoimkanUCHm0m6vgjuNQKNRIp0vk8lUs2yYvGvzXsR/yyW076N/ewjuzc8S83nWremJeL1czGc6nUrxwB9608aCPDx8Y5vjOfkbmF8lX61i2gypLtIQDbOuI35Uf3INA057ENK+hG2/iOF5EMQY42E4GcPF6Po4sb74P4Gbw0X3DeFWZt8ZmyFXraIrE8zsG+ciebWgbSO1+mNi+t5vXX75IKV8l8p7FlbTRwK+p6A1jKbFekm4u1tiOg27bKLZALBogmgiimSaj84ss5Mp0xh+tClhY8vk8O5sk4feteQ4HJC9tcpTZWo7dRhu+dYKsXNdlUS9xKNZHuyd88+eJWIDtg22cOj9NKLD+/aDeMBAlkX27uh45cVkURELKXfgEvI+IBXzs623ntSuTdyR+NgwTWRQ5OLA1VU73k2rD4MpUiosTSYqVBoIo0B4NsHeok22d8Tvyv31YUUQZZQurmdfi8myaTLnKQMv6c2BNkXFdl1MT8+9L8bNi1bhUGiesBFYUNkVBoMOTYKGRYbwyx85Q//0f5ENArlzj8nSK2B0GsXkkjd5YnIlsirlMie6W8LLXDcdkoZFmONhPr2/9a5flGEzXLuAR/ZSsGhWrTlD233avU0QVj6gwX59krj7FYGDHHY17PRYb0xSMJCFl+UK267roTgX7uh2TLGj4pSjz9RG2m08RUB4Nr/cmTZqsz6P1JNfksaA7HOZfHXuCM8kFzqVSmJbNE10RDnd2Mhjd3BZt13WZXyxycSzJwuJSYndrLMDuwXb6OmJ3HPBRKNQolevENxjYIwgCiiKRTpfuZvi3sSu4i6nqFAv1BTq8HasKoCWzRMNu8HT8aQLynVecWpbNhdEFTl+eZTqZwzDtm2nFB3Z0cXBnF3u3dXJ1Ms3Zq3N0tYbxrlCtaNkO0wt5utsjPHN4a7x1MtUqb07P8vXLl7mWzhC47vHpUxQ6I0FafT5mp3NksmUcx8XrVdBUDcOFom1y8uQEr54fZSLe4Njw+u09oiDgkWUm8vm7Gq9PUzjwiD8IC4JGIPAvkPUBdP11bDsDCCjyMB7tA6jqsYdW4FEkiQ/v3sbT2/oo1ht4VYXwfWqd3Wwi8QA79vfwzo+uEo4tf9AoGAZhTQNZIV+r07CsmxaVoigQUFVUXDq6Y8iKRFAWSRcqZEvVR1L8TJbKFBoNBuPrP8QM+zpIlwqMlzPsiXWseqy6rst8vUBA8XC8Zduy9wmCwJOHB5iYzjC7kKe7Y/V7l25YzCWLHNjTxWBvM2ThUeXAYCenxufIlKobSn13XJfZbJGhjjiD7StXIT0KuK7LO1dmeOX0KIuFCpIk4lEVXNdlOpXn5LVZeloifOL4bvo7Ht7F64edVKkCLFV2boSQ18N0Jo/tOGt6iT+KLNQzFM0K3d62Vd+jiDKO6zBfTz8W4qdp2ySLZQzbxq+qtIUClOs6DcMiehdt/0ORLjKFOrlqFdtXJSD7EIQluwEXl+FgPy+1PbOhxYCylaVq5gkqcTK1JILAikF5AJqkUbFqzNWmN138LFmL1zsUliqnXdelYi1SNpM07CKOawECoiATEFU0Ic9iScL2dKHKXWjKHkRx64NGmzymuNypVfy97+8xpCl+NlkRo2EyfnmeXLqEKAl09rfQPdiCeIcTKMd1mcoVuJJapKzrBDWNXW0t9MYia1bfRL1ePjQwyIcGti7VvaGbfPu1y5y7Nke1YeLVZBDgymSKty5MsaOvlU89v5fQHSRC2vZSeNCdiKaiKGCY1t18hNsIKkFeaH2BH6Z/yHx9Hq/kJayEkYWlU71qVymaRWRB5mjsKPsj++94Hw3D5JuvXuT05RlEQSAe8aNp14OcKnV+cOIa50fm+fSH9vHpD+5DFEQujM7juC6RoBdVkbBtl0J5qbKxpz3CZ17YT0t08xPep/IF/vr0WaYKRQzLxqcpxH0+bMehblpcTS5yqW6j1V3iAR+y8q5YLDsiiiLTP9DCZLlALp9hfGKRnds7kNb5+4qCgGE/OuE4W4EgePB6PoxHexbHKQAiohhDWGXC+7DhVRW86qPfKnfo+DbGL80zP5Wlsy+OIAhLHpW4iAIEPBp+TaVmmFjOUuCcR5ZplHUCEQ+tnRHgRuiTgO04a+3uocV23aVr8wZE94jop81qQRJcxquLtHvC+N/j6VezdJKNIl5J5dPdhxgK3m7Z0d0R5VMvHeAb3zvL+HSGeNRPOPhuC6Fp2mTzFap1gz07Ovjkh/e/L6rjHlcG22J8+MA2vn3yKsCaAqjtOEym8rSGg3z6iT0bFrQeNlzX5bXzE3z7zctL7dbtsds+i25YTKcLfPH7p/jchw8x2PnoCr0PEst27ihUSxQEHJf3pfhpuw4uS6FUayEKIoazOfPr1TBtmyvpRU7NLjBXLKJIMrvbWzjU2UFneOsXCk3b5u3JWU6MzzBfLGM5DposM9QSozccxnGdFa1t1kMWJVo9cZ5P9CFES8zUkjg4bAu0sSs8xIC/e8N2Ao5r4+IiCiK2a69zHC+9ajibH4rpuPbNPTuuQ1Yfp2TOAQKK6EVEQcAizBge5nFdnZnKVRbrATTRR0gdotX/C/g8xx/aBfwmTZqsTVP8bHIbU9cW+P5X3iY5m8O9HkijaDIDOzt56ReevK19cjUapsXXzl3inZk5atdbuyzH4QfXxjjS08ln9u/B84DaSC3L5uuvXuCdSzO0xQJ0tISW3ciqdYOz1+YwLZtfeOkQvg16LHo8CoosYRgW6gb9u0zTJhDYvMqyuBbnYx0fY6Q8wtXyVTJ65mYao1fysj2wne3B7fT67jwB13Vdvvf6Fd6+MEVHSxi/95bvRYKWaIBExM/MQp5/+ME5fumTx/jsiwc4uLOLs9fmGJ/NUq7qiKJAX2eMQzu72TnQtnw7m0S+XueLZ84xVyqzPREnWa0wXyvj4iKJIgFNxWqYZOsNAopKXFr+XVi4eK+LxmGfB7+lMZ8uEA376OyIrLlv3baJ3BKWousmE+OLVCs6obCX/oEWFOXRFTlcpwSuCWJ0XTFTEFQkaeu8XJusTXtPjJc+e5Rv/c1bzE1k6OiLI0kimihRup5eLwkCwet+YI7jUirU8PpUtu3pwnP93DRtG1EAzyMqCPsUBVWSaFjWimF6t9KwLBJimJ/qHGLUWGCivMhcPY8iLFkDGK6FR1QYCrbywbZd7Ayv7gm2Y6iNwGeO8fbZKa6MJhmfziAI1x/vBIG2RJDnjm/n6IG+m/YgTR5NBEHg+T1DCAh8/+wII/MZYkEvUb/v5oKoblpkSlWqukFPIsJnn95PVzy8zpYfXsbms7z89jW8mkJLZOW5oabK9LVFuDqV5v/zN6+yr68D23FQFYlIyMfOgTaGehJN4X8d/JqK7W588Um3LCI+zyNjl3MnBGQvqiBTt3W80sr+p67rYrkOYWXzF9Zv0DAt/vbsBd6ZncNxXIIeFdvR+dalHK9PTPOZfbs41rN1Ia2mbfMPpy/x2tgUqiSRCPhRJJG6YXJxPs3ZqQX0mkG75dzxcWBfXwztC7azs33/0vMg3JXop4o+ZEHFcHQ8ogfHza8aBmg7JggikQ1kF9z5OLy4LC2EFoxpisYsiuhDFpfmOQI2MUZR3VkMwELGdlxEQcbGolo/R9WYoz9qEvA+v+nja/J4I7hL/+7n/h5HmuJnk2WkZnJ843++RjlfpbMvgXJdwKtXda6cmcIybX7u//FBtA2Igd+8eIUfj03REQrQEwnfrDgq6zo/GZtGliQ+e3DvVn+kFbk8meLM1Tm6WkMrCpt+r0pfR5TL4ynOXpvj+P6N+WLGYn56euKMjqU2JGgahoUoCgwNbK44FJADHIoeYm94L6lGCsMxrvuyhYgqd28dsJApcebKLC2xwKqCpSAI9HREGZvO8M6laX76g/vYOdDGjv5WqnUD3bSQJZGgz3PHtgKrUa41uDSdZmR2kUrdQJZEklaVq5UsBzrbkUSRuNeLR5apmSZ+RcVxHKpVA68goWNTtk2i11thbNfBwaXzelhPWNRoUX3MGEWSySLt7eFVK8h0y0IUBPa0Lv1NFxYKfOvrp5mfX5rsSaJIX3+Cn/r0YaLRrfM43Qpcp4jb+DaYF8C1Qe4Fz8cQ5Lv3jW3yLo7jMp3Mk86VMSwbRZZIRPz0ddxeTXUnDO/t5tP/QuJ7f/cO06NpVI9MIqCQdRs3H0BMw6Ze1XFcl2DYy7Y9XQTD77Z3ZUs1EmE/fa2PpvdVbyxCdzTMXKFEXyyy5nsXy1W6IyGe7d7GB8VhpqtZzmdmGZ3N0miYeCWVwXALx+J9tIfWr+zp6ojS1RElk6swOZNF101EUSQc8jLU34LWDLp53yCKAs/vHaSvNcqZiXnOTy4wlsrerDaSRJGOaIiPHtrBvv52Iv5HO4X6zMgcdd2kM7FyNafruuQKNeaTBfKFKoVKA7Nu0xoNLPnsTaR5+8I0Xa1hDu/u4fDunvdtOvm9sq09jldVqDaMdUMPXdel3ND50J7B92WFWoe3hU5vCzO1FD2+lVvfy1aVgOxlKLB14uN3rlzjjakZeiIh/Lf4Q7uuy1yxxFfPXSLu8zEY3xq7h3cm53htbIq2YIDgLSFYilci5PUwly8yN1dgJltge+edBTbmy3WiAe9Nm5t7OY4CcpQWTx9ztSvEtDgLjTSGa6IJy49jF5eGYxBW2+n1b37nX6vWj0cKUjYzlMwFJFG7KXwC+MjiYYE6Ig4CEjKKqOBg4Jc6sB2Dkp1lvvzfGVT3IkvNKvYmTR41mjPuJss4++Yo+XSJ/h3Lfc68fo3ugRYmrswzfnGeXUf619xOqlTh5PQcrUE/oVv88gRBIOTxYDsup6bneXawn7bQ1q3KroTrupy9OgcCa1Z0qoqM16Nw6vIsR3f3bmhCLggC+/d2c20kSaNh4vGsXcmTXizR1hZmcGBrUqQVUaHbt3kTv0ujSap1g/bE2g/8giAQi/i4OLrAs4eHiIaW0n8DPo0Am5dkXGsYvHJ2jDNj8+RKNWRJRJElLNfhTCmF7trYNYeeljAdsRAdgSBj+RxeWaHeMDFNC01VcF2bomkQllVEQaDgGoQElQ5pSfwRBYF+NUhSq5KrVCkUasRWEC5d12W2VKInHGZnSwumafPtb55hbjZHV08MRZHQdYvRkRQvf/c8P/+5Jx+ZBxPXdXBrfwvmKRBbQNDAvITrZMH/fyE0J4F3jWXZnB9d4NSVWaYWcks2GNePC1kS6WmLcHhnD/uHO+9aKBvY2cEv/fZHGLk4x/kT4zSm0li6QQoTjyAiSSKReIDWriixluAyCwjbcShVGzyzZwDvI1qdKIsiT/X38Dcnz1HRDQKrJN9WdAPdsniyvwdFkihW6kxeKzJytUA6X8d1oYDFvDvJmdML7Ohr5dD2boZ7Euuey4lYgMQG/aCbPLoIgsBAW4yBthgf3DvETKZAw7SQBIGAV2OwLfa+EPgyxSqXJ5PEQit74Lmuy+x8nonpLIZloWoyXp+C4di0t4RuLiDqhkU6W+Zr/3SOqYUcP/X83g132zxO9CWiDLbGuDKXZqgtvub1JlOuEfZ62Nv7/kyqlgSRY/E9JBtZUo0cLVp02YJ02awyVyuwP7IDTdgaj8Zcrc47s3PEfd5lwicsXQO6wiFGMllOTM9uifhp2Q5vTcygiNIy4fNWOiMhpgMFkoUy2zoSG7J9gaVzN1+p8cH92wj57r0zTRAE+vz7SNbHwNVp8ySYr6dxXBePuOTD77guRSuPi8i+8DES6uZ3DAWUKJ3eYS4U/gnDruOTb13MdfGTxHRtXCRAQBEUJEHBcnRMp44q+rBcP0Vjhpp+ipDvxU0fY5MmTbaWpvjZ5CZ6w+Da2SnCscCKkypVUxCAkQsz64qfI4tZyrpBR2jlBNiI18O1SpaRxex9Fz8rNZ3pZJ5ocP2Ki1jYRzpXYTFfobNlY61p24fb2b2rk/MXZunqiq7YymhZNqlUEVEQeO4D2zfcIv+gGZvN4POqGxLsIkEfk3NZkpkS0VUeju6FUrXBV350lguTKaJBLwMdsZu+VkVTRzYkAoJKta5zaSpFTTfpb4mQb9TJ1WuI1+2EBBEUV8BwbHTHpi5YyIjsU+KotwRGdcsBhrQwF+oZUqUK0Yhv2fegWxazpRJhj4ef2b0bVZIYm0gxP5ensyt6s81d02Ra20JMjC+STi+J348E9jRYV0DsBvH6OSsEwR4B6wJIzRagu6FhmHzrx5c4eXkGSRRIRPzLHvzruslcusDkfI7RmUU+9fxeAt67W0AIhLwcOr6N/ccGmJvK8k9nRnh9dIZ40Ec87CcQ9t52btuOw0QyT09LhMPbuu7psz5ojvZ2MZnL8/r4NGGvh4Tfd/OaYTsOmWqNQr3B0wO9PNHXTTJb4quvnGNiPkvAp9HTGrkpWrmuS6na4NS1WS5OJPnI0WGeOTC0adXsTd4fRAPeuwobeRTIFCqUajqDnSvP4WYXClwcX6DhWtiSi2s2cGyXUr5BJO+lNxTBIytoqkxXW4Raw+DUxRlw4Wc+cuB9IRBvJqIo8OL+YVLFCpOLefoS0duuN67rkqvUKDd0PnFwB613mPL9KDEc6OXF9qd4NX2SqdoCqihj2zBXqbNYc5AcH9VykVPzP2RXtJUjrV3sirRumv/peDZHod5g2ypVz4IgEPV6uZhMUzNMfJtsGZMqlZkvlEgEVp9fC4JAZyLE2MQiC9kSXYmNzTdz5Rp+j8r+gc0Tz9s9Q+wKP83l0mv4JZcOT4ysUaZkVbBdG8vV8Yhejsaf5wMtH165Jd51mK3lqVs6iijT5Yvike7se90ZeprR8k8omzqaayEhIwgCMjoKRWqAAyiCgiyqN6v2l5LgfSiiD92uUG682RQ/m2wyzcSj+8Gjobg0uS+Yuo1l2mu2tMuqTL2qr7stw7YQWL1NQhAERAQMe2uNyFfCsh1s28WrvTsBMiybdKlKslimbpqokkRbOEDM58VxHCx74z5LqirziY8dAODi5XlkSSAWDaBpMsV8jdmZLOl0CVkSGepNkJ0vkG8NE92gl+qDxDCtDU8cRVHAhTv67jaKblr8w+sXuDCZor8tivoe71jHdXBdkGUJj1+hYVhMJnMoksTBtg4uLKaYrhdoCA6Ca+O4LrrrkHUaxGQP+5UE3dLyv4ckiBz0tFCwa+i2xZVMBq8sI4oiur1kot4TDvOZXbsYji9Nhut1A8t2UNTlD3Eer0IuV6VR33xD9y3DLYPbAPGWhylBBARwKg9sWI8ylu3w7Z9c4sSFKToSoRWtJLyaQk9blLpucvrKLIIg8DMf2n9PrdKSLNE71Mov9yeIvx3ltUsTZBsNRI98s53Ssh2y5aU21d6WCD//3H5iwUc75VSRJH7u4F4iXg9vTc4ylsktez3u9/GJ3dv5yI4hSpUGf/uDs8yk8gx0xm+zHRAEgXDASzjgJVOs8p23rqIoMsf39t/HT9SkyYNj6d4urFhNli1WOT0yQ802kDQJRRQREbFdB920uZJPkTYq7It1EFaXKst8HpWu1jCnL83Q2RLmmSND9/kTPfwMtMb43NMH+OpbFxhNZfGqMmGvBwRoGBaFWh2/R+NjB7bz/Pu05f0GgiCwPzJMr6+dkco0l/IzvDafIltTiapBOoMRFGlpfvZWapp3Fmf5QHs/PzO4B02698ffpVDLlY//G6iyRM0wMW0b2Fzx07BtbGd9L8+AV6OzPYJp26TyZdqiKxel3CBXrlGsNfjYkR30tkY2bbyCILA9eBy/HGW8chpJn0OVfJQbEqVFCTsZxlrs5qIYoDFwiT07u+jriV2vCnU4k5/mrcwYM9UchmMhCSItnhBHYv0cb9m2YRHUJ4fp9Q3TsPMYjoFNDRERlTqWZAKgoKKJnuWxTNc9T0WW5r22W9+076ZJkyb3j6b42eQmHp+KP+SllK8SjKz8kGs0TGKt63uchTwaAqunTC4lBruEVmnV2Eo8qrLUfmxYBHwaVd3g/GyKfLWOJArIkkTDtMhV62iiSFc4fMetngG/xmc+dZid2zs4e36G2bkc6dES6fkCuC5tiSBtsQCyKPCDfzzHxTPT/NRnj9Hdl9iaD71JBHwqi/mNCV2mZSOKAp4tqGq9PJXiwkSS3tbIbcIngCxISIKA7TrIiHhUGdt2mErlaYsGONrRhU8XuVJOIyDiYOMVJQ6pLQwp4ZtBR+9FQmDIDPDM0C7chMxkoYBh20Q9Hva1t7MjkUCT3/3daNSPx6NQq+r4b/GALRXr+P0akUfJ81NsAyEEbhaE68epqwMCNAON7oorkyneuTxDRyK4buiXV1Pobotw9toc23oSHN3de8/7lyWRTz6xk96WMO+MzDKRzLGQKy29KCylVX/s6A6Obe955IXPG6iSxMd37+CZwX4uJtPka0sPMFGfl93tLYSuB5X96MwlppI5hjqXAqLWIhH2Y9sOP3jnGsPdCRKrBL80afJ+QlVkRGFJBL11ccB1Xc5Nz1HRdfxBDekWcchxBTRJJubxUTTqnM/NczjRjU9euv55PSo+r8bJSzMc29fX9MNdge0dCf6vl57iwkySt0dnyVVr4IJHkXlx/zD7ezvojoff18LnrUTUILuDw7wxWwC7xrGW6DJxM6BA3OOjZOi8MjeGJAh8dmjfPX8/QU1FFJZESHUVAbJqmARUFe8WBAX6NRVNkZcKNtaokq6ZJv0dUT7Q08t3Tl5ldD5DPOQn4vfc/A5c16Vc18mUqsiiyIuHtvP8/qFNP4YEQaDbt4tO73byxgL5Sp4fvjlNfqyKImr4/BoNx+TNt8c4e36GZ58e5gNPbuP7yYv8U/ISgiDQooXwSAqWY5MxKnxj7gyztRw/3/fEhgXQoBynRU3glVspmXkMR0cSdLwEwakjCertifTXwz1tLARclKbVU5PNpln4eV9oziqa3ERWJPYeG+Tlr7yN2WLdDDu6QblYQ9Vkth9Y/6F7Z1sLiYCfZKlCV+R2sTRZqpAI+NnZtjVel2vh9SjsGWznJ2fGiYS8XJxLk6/WiPi8y4Ra13WZTxeXKmHvovtKVWX27+th755uzpya4GtfPkGkN053d2yZYJdodZiZzPCPXz3JL/7mcwQ20I7/oNg92MHViTSO4yCuUwGaLVRpiQboad/cgBTHcTk1MocoCKsmTwdkhYjmIduo35wE+zwq+XKNxWKVnpYIPbEo+bkKXlehKBh0KH72KLE1J3uVio7Xq7JvoIP29si6Y+3sirJ9RztnTk8Ri9v4vCqVSoNSqcGzz+4gHH50BCVBasXVngb9+2CXwZWAOih7l/41WUZVNxhfzFEzlioJfKrCYEsM/3WvSdd1OXN1FtcF/wbb2L2agiyJnLoyy6Gd3ZvSvieJIgeHutg/0MlMpkC+XMNyXLyqTH9bbN1gjUeVoEfjqf6eFV/LlWpcnEiSCPvXFT5v0BoNMDqb4eJEkucPbdvMoTZp8lDS3RImHvKTLVWXVZOlymXSmTKaJi8TPgEsy8EfVJFlkZjkI6vXmKsWGQ6/OxdMRP3MJAuMTKXZO9x53z7Po0TY5+EDO/p5clsvVd3AcV18qoK2wmLw48CZzDyX8imGQlHUVao6Q6qG4wZ4IznFsdYe+kP3NjcdTiRoDwZJlSv0RG5vJ7cdh2K9wQeHBlYVR++FloCf7a0JzswuLFX/roDtONQMg2MDOzi+vZ/WaJBTo7NcmkoxurAUxOay9D9+j8r+/g4OD3ezq6d1S8VzUZCIa9289sMMUyMG3R0tyzISWhJBcvkqP/zxVQpyjdflEcKKj6j2bsGAKsl0eiPUbYPTuSnavWFe7NjYXDThGWKmdhJN0miX350HyEYJ2zyLgYXgiktVpzgIgoAieHBdF9Op4hG9hD3Pbt4X0qRJk/vG43mXbLIq+5/axtilOcYvzRFNhAhGfTi2QyFToVZt8MQLe+gZWr/KK6BpfGTHEH935iLT+QLtwQCqLGNYFslyBcdx+ciOnQS09R/6HcfFcRwkSdy0m/G+4U5OX5lldD5Lrloj/B7hE8AwbAIeDcEncm42yYd3b/yB1rYdZkZTXD41RWo2y9WLs2QWKwzt6cIxbLhlgiqKIt19CaYnFhm5vMChJzY/4XCz2DnYRvSdJR/UtUKPTMumUtN59vDQip6n98Jspsj4QpZEePWqSUEQ6PGFWGzUMB0bRZQQhKU2+Bu+R+GQl3DIS6ZYAZ9Erxpc9/jKZSvs2tW5YZ9OQRD42CcO4PNpXLo4RzZbwefT+OCHdvH0M9uxHYe5dJFq3UASBSJBLy3RlT13HwYEz8dBasM1zoCrIyi7QX0CQXh4Bfv7TapY4dTUHCen5siUa7jXl1ZFQSAR9HO0r4vDfZ2Yus3YTIbEHQrgLdEAM8k8U/M5Brs3r1JcFAU6okFifi+yJOHR5If2ONxqLk+mKFYaDHVtvLLjRqDbqauzPLW3/7EVIZo8Pvg8Koe2d/HdE1dpCQdu+k9OpLPYpoMvuPze7zhL10J/UAUEBAE8ksx8tURfIHZTIFLkpfv1+ZGFFcXPkq6Tq9dwXJeAqtLi8z+21ypZEglvQiDNw4brujhYiKx/H7IchzdT02iivKrweYOw6iFZq3A6M3fP4qdHkXlheJAvnznPfLFEWzBw8zmiYVpM5Qv0xyIc69kar2xBEDg+1MvVVIb5QomO8PI5rO04TGTydEfD7O9uB2CoI85QR5zF/RXG5rPUdBMXF4+iMNAeoyO2/jx4s1jMlLl0ZZ5EPLBiOGws6qdS1fnBictIT0LUv/Kc3yupBBUvp3JTfKBlGJ+8+nOl7dpk9QK6E8QhSsFIEtfeFT8deQCvPY7llLEByVWxXQNF9CIJCrpTArdBzHsYj9pc9G/S5FGkOTtvsgx/yMunf+1Z3vjeBS6fnmR+MoMoCkRbgnzg4/s58tzOdSv+bnB8oBdZkvjhtXFmCqWbLfAdoSAf2j7Isd7VJwSWZTMxmeH8xVlmZrI4rovfp7FvTzc7dnSsmLR9J/R1RHnhiWH+4htv0qgahD3vTh5t26FeN7Esm+6eGFpU4fTUAi/s2lgLSHImy/f/7m1mxxexTBtFk1lcKOI4LmNnp5m9lqS1N07vjg6k660qkiSiKBJXL84+1OJnOODlhSe2841XL5DKlmldIRxLN0xmkgW29bZwdM+9t+a+l3y5RsO01q1Ia/cE6PQGma2VCKsaqiihKRJ13cS0bDRFJpLwM1Eq0G976VDWFqGy2QqqJnPoUN8dTQ59Po2PfeIATz+znWpVJxTyoqgS567Nc+rKLLPpArphIQgCfo/K9r5WDu3sYri35aF7oBMECdRjCOqxBz2Uh5LL82n+7uQF0qUKYa+H/kT0ZjuoZTtkKlW+ee4KJ6fmONDaRk036VhjEWElvJqCaTlkizUGu+99zK7rMr2Q58LoApfGkxjmkl1Fb1uEAzu7GO5tfaxaTw3d5NLpCfT5ImVXxN8aRN7gAk7Y76FQqVOqNGiJNlvfm7z/OTTcxdnReabTeXrboghArlpDEpYvVjuui96w8QUUPL53zyevrFAyGpTNBnHJj+1aFM0ieSfJG9NzeGZHSGitDAaGMXQ/p5NJTiXnKOvGkmgjy+yIJTja2c3els0Ls2lyf3Bch5naIpeL06T1PKZTwSOUiCmLRFUbWVSIajvQnG1YjRYkUSIR9i+zoso0qsxVSyS86y8kCoJASNW4kEvxmYE99zzHerK3G9N2+P61UUYzOQRhyRpSlkS2t8T57IG9xP1b1+Gzo72Fnzm0m6+fvcy1dJaQR0ORROqGRc006I6G+dyx/UR9yxeoW8IBWsIP9h41OZ2hUtFpTazuQRqMaFycnmNHrQ3WmColtABT1SzT1Sw7w7cvmNTtBtfKk1wsXCBrpLBcF91xMO0Knd5xhvw9+GQFR2hDVo4QME9QdaoYbgMBGQGBur2ILLgkPLvpCP0WovjodG41adLkXR6fJ5omGyYY8fPSLzzJUy/uJb9YQhBF2rqjawYhrYQgCDzR182BrnbGMzlqpolPURhKxFDl1Q+9crnBt759lmujSRzHJRjwIIgC2VyFf/zuOd54a5QXPribA/t77nriIggCHzg4yCsjE5y+NEulouM6LjcsXvw+jb7+GJ2dUXLVGnVjqa3ovS1c72V+cpGv//efkEkWae+J4fGpNOoGU5MZVFVGViT0msHM1QWMhsm2g3032ypVTaZWWT9MarOoGAbXMhlqlolfUdgeT+BX1/8bH93Ti+O6/OCta4zNLOL3amiqjOO4lKs6giiwa7CdT39oHwHf5nu6mpa9ZpjWDWRRZF9kqZVuoV7BwUBBwHYcFisV6o6NpAk8M9AHIzWyToV4PHBbm6tl2WQyZSzL4YUP7WbbUNtdjTsU8hIKeak1DL76T+c4e20ORRZJRAN4VBkXKFd1zlyd5dJ4kheeGOa5w5vvudRkaxhNZ/nSiXNUGjrDbYnb/m6yJNIeDtIaCjCVyfOd7AiuZd7139ew7j0szrIdfnDiGm+cmaCum4QCniV/XMfh0kSKi+NJdvS18ukX9hN5iO04NgPLtDnzoyuc/clVTr4zSrFUp+pV8YS9JLa30banE3mF6pRbEUUB23ExLPs+jbpJkwdLIhLgZ5/fz1d+eJax2SzxiPdmhScsCUGWaWNZLl6/TLx1eZWmJAg4uNiuS9WqMF2boGbXqDsuqiFTMossGilenrrAeNKLlxgtviCdgaUKtZppcCq1wJl0kud6+vn0jl1b0mLcZPMpGhW+vfA2o5U5DNvEdvPUrDS6baKKCt1elV1eGE1+k2LFoZTtoZjeT8gb4vBwF8d29RL2e24G/8jCxv7uiihi2NaG5vTrIQgCzw72sb+jjYupJQ9pURToi0YYTsTXDSPaDJ4Y6KErEuLMzALn5pIYlk1bOMDRvi72dbffJnzeykK1zJn0PBeyKXTHot0X5EhrF7vjrZsSCrUWum4hiMKacyBBFrFtB9Feb74v4eKiO7fPi4pGmX+Y/ToXshcxjCqqCDGvTZvPQ1HQuFKuMVu/zP5QjLgWAjpA3IfijuIVyiiiF1n04JHiRH3PEPa+hCJvwspzkyZNHghN8bPJqoSifkKbEMiiyTK72jcWiFJvGHz9W6e5cnWBrs7oba0QjuOSXizxj989hySJ7Nt79zcgQRDYOdBOSq+RUL006kvefKomE436kK9XZdZNi/ZwYN2KgnpV59tffJNsqkTvcNvNFjBJlpAkEcuyUVQZj19DUiRSUxl8QQ892zsA0BsmwdDWCwyO6/Lq5ASvTE6SqVZxhSXNt8Xn50MDAzzb179meqUgCDy5r5+h7gSXxpOcvTpHrWEgSyIHdnRxYEcXQz0JlDUM2O8FRZaWPKFdd13hSJNkDsXa6NFDzNVKLFQq2LiIoshTXR0c7upkWzzO6VOTvPHmKNPTWRRFQrteVdBomNi2Qzwe4JkPbOfggd57EiNtx+FbP77IqSuzdLctD9ISgHDAQzjgIVus8vKbV/F71C2pnm2yuRiWzddPX6ZU1xloia55jIiCQH8iyumJObL1KnscG1m883NlrQWkjeC6Lq+8PcIP3x4hFvTR2brcyiEa8qEbFpfGU9juWT730cPrhjKthm7XcHHQxIezPdUybb73169x+tXLaF6VSHuIhkci4NPQi3Vm3hqnmi4z+KEdawqgtu0iieKa4ROPApVKg0ymjKrKtLdHbt7LmjRZicHOOP/io0f4yblxLk+l0WsWpmHTqC0JEbIiEo5phKKe2xYXbddFFAQsR2eyOkvDaeCX/DiCg98jEddiTOd1Ls/ladglQiGRmC+BfD2UUJW8RDxeinqDH0yNo0gSn96+86G8zjR5l4pV5+9nX2OsMk+7J4YlLVA0knhVDVkIoTsOY+UGkymDbtNPxGeT6Jgk5NdITe/j2yeucG12kc+9cBBNlpBFEcOx8WzgsdZwbKKatqlVwmGvh6f7H9xcrSsapisa5hP7dmA7LtI6oiLAieQMXx29SE6vE5BVZFFkoVLmVHqefYl2fnHHAcLa1lkqeL0quC6O4656j3EMB1kRceS1k1lMx0JEuC3wqGHr/PmVv+bNhTEaloRAEBcJEZeot86RlkX2BVsYr/u4UtE5INbxShIedS+d3n9OTPEh4yAIIrLUiSw93KG0TR5xXHfp3/3c32NIU/xs8lBx4eIcV68l6emOoa7QaimKAu1tYeYXCrz64yts29aKd4WKVNd1SS+WyeYqmJaNqsjE4wFa4svbtHd3tfLG2BS+oEY8fnsLiO041A2DI/3re/aMnJ9hYTpL91DLshu5okgkWkPMTmXw+pa8rhRVRtUUUlMZ2vtbEEQB23LZuW/rVxNfmZjgH65cxiNLDESjyKKI5TikKhX+7tIlAJ7vH1h3O4logOeObOPZw0OYlo0kifel5awl7MenKZTrOqENeF1Jgkibx0+r5iNi5uiIh/g/P/LkMr/ZJ58YYs+eLq5dS3Lp8jzFYh1BgJ7uGLt3dzG8rW1ponaPTC3kOT+yQGdLcJnw+V7iYT+6YfHjM2Ps3dax6b6pTTaXkVSG2VyRrmhoQw/dgiDQG48ymyowuphjMBFDETfmaVytG2iqRFts9VaxjZDKlnnj3CSRgIfIKosumirT2xHh2mSa8yPzPLW//472UbHyXC2+TrIxDrgktF52hI4TUe+uenqrOPuTq5x+9QqJzij+kBcrXWQ+X0EQBbwxP2rQQ258EU/ES+/xoVW3U6jUSUQDRB/RKlnbdnjj9VHeeXuccrmOLEv09MZ58aW9G/Y5bvJ40pkI8wsvHCKdL1OTdd4+NUU44kFRJTx+ZdXgsKpl4JdVqk6Wul0nKIcQBDB0m45uGdtxOb9Qw3FEOoNBSlaRrJGhTetYtp2w5sFyHF6bmeKJzi46g3dmJ9Lk/vJO9ipjlXl6fa1Ag7w+gyioKOLStVMGqOlkHYcWr4omK2CpeILjdHQMEK92Mj6f5euvXeSXXzpKfzDKtUKGkLp2t5HrupQNnQ91vT9D6QRBQJbWn0dcy2f48rXzOK7LzsjyTpWGZXIqPYciivz6nqNrFkPcC4P9CYJBL8VSjWhk5UKbcrFBf0+Cmrex5rYW9Qpt3jD9/uXi5LdmXuPHc5OISLR6FZYuQy6WA7lGgDeTGs91LbDdt4tpPYZf3c/x+EFk0YO4wUriJk2aPFo0xc8mDw2WZXPm3DSaJq8ofN5Ka0uQmdk8o6PpZdWflu0wOp7i3MVZxiYWqdUMbsQZ+n0qw0Nt7NvdxdBAK5IkMtwWZ2dHC+dmkvTFo3huCamwbIeJTI6eeIT9PR0rjOJdHMfhwokxZEW8WTG6bLztYRZTRcql+vXqTgGPX6Ocr5CZy9OwHXr6EmzbufZ+7pVSo8EPJ8bxyjIdwXfFE1kU6QqFmC+X+MHEOIc7OgluIIwKliZb6n0M9+iIhxjuauH85MKGxM8bOK6LY7k8vat/xaCtgN/D4UP9HD7Uv4mjXc6FkXl009pQundLNMBMqsC1qUX2b28m3j7MnJyax3XdDYXcmLZNplRlrlCiYpu8uTDHbK1MWPPQFQzS6vcjr7GIkClU2daToLstck9jvjSepFJtMNSzdiWDqsh4NJnTl2c4urtnxevbShhOg3ey32SxMUVAiSIgMlO7SMnK8HTi5/HLD4eYZpk2Z39yFdUj478uArdEljzl6rqFz6MgKRJayEN2NE37/m5U/+3nr+O41HWTIzu6N/wdPWycPj3FD/7pAj6fRkdHBMO0uHp1nkq1wa/8yjP4tsDGpMn7i9ZokF/56BNcnU0vzbtCqx8zjutgODY9/gBVewGv5EUQwDJdBAG6+jRSZZN0xSTilZAEEVmQyekZEmor0nvEiZjHy5VshrOpZFP8fIipWzrnixMEZR+KKFM0FrFdHU2M3XxPrWFg2w5+RSLlOnS6LrLjAbmA5B1HbnTRlQgzNpdlJl3gibYeLufT1C0Tr7z6YnG2USOoeDiY2Nq59sOM67r8ZH6SimmwPRK/bdHVIyv0BsKcz6SYKOUYCm88+O9OiEb8HNzbzY/fGEFRJAL+d+fzNwpYVEXm2aeGecW5TLpRotVz+3ldMRvULJ0X23ej3VL5aTo2350+ie04tPg0bv2YsggtXptkTWG8GOKIZ4qgfIjRyhxPxo82hc8mDwb3+r/7ub/HkKYzeJOHhvRimXS6RCy2fqu9LEuIIoxNpG/+TNdNvv3yeb701be5eHken1dloC/OYF+Cgb44Xo/CuYsz/M1X3+Z7P7iIYVooksTPH9vP/u525gslxtJZZnNFJhZzTGZy9MUj/PMnDxBZR2QrF2qkZvOEV6geBQiGvWzb2YmiyOSzVSrlOrpuUq+ZTI+m6O6L88nPHsO7xQ+XVzIZsvUaraukJrb6AyxWa1zNZu5426Zlky3XyFfqWLZzr0NdFUEQOLStCxGBasPY8O+l8mUSYR+7ezdmwbDZWLbDlck0kcDGBFtFlnAdmJzP3vZavaYzNZZm/FqS5Hwex9m677vJ2li2w2QmtyEhPluucmJshrMzSXKVGgGvhu041DI1ZkYXef2dUb731hXGZzPYK5xDlZqO47oc3NF9z63Il8aS+H3ahqpNY2E/yWyZVK684e2n6mNk9VkSWidhSSEkibSonRSNFPP1a/cy9E0lObXI4myO2C2VjZoq0xYLUtdN7Ov+hVrQg1HRKc0XVtzOQrZELORjd3/7/Rj2pmNbDqfemUBRZAIxD/NGkfPVOWa8BX54+TL/9w+/x+nsNHVr49fcJo8nu1vaOLqrh0pFp2GZK77Hdh1yep245iOoCViOhSwsCRflkk04JtPaoZKumFg2aPLS44omatTtOjW7ets2BUEgqKqcTye37sM1uWfm6hmyeomYurQAX7MWEVGWiVPVhoEoCngEgZrrUr7enunaAUTPAog6Po9Kw7QYm89wINHJwUQnk6U8VfP6NeqWDlLXdck2auT1Oh/sGqTT9/iK47lGnSu5RVq9q9vQBFSNhm1yObu4pWP54LM7eeLIIIVCnfHJRZKpIvPJAuOTGURJ5GMf2cuH9u7ko537MB2L8XKaolFDt02qls5UNUO6UeJ4YhvHW4aXbftKYY6FapGw6rLSxxQE8CsOM+Ughl0hIpvkzRKpxp0//zRp0uTRoVn52eShwTAsbNvZsFekLEvUa0uTHMuy+c4/XeDtU5O0tYYIvKcyRxAE/D4VyXGpVHV+8vo1XNflox/eS8Tn4VefOcK15CIXZlPkqnUCHpXdna3s6mzFr63f7mxeH/taFT+J1iA+v0omXSKTLmNZNr6Axu79PXzuV5/FH9w6b50bVEwDEFZtT5dFEQGoGht/wC3WGpyemOPtsVlKtaXWlNZwgCOD3Rzs78S3BS3bO3pbODzcxVtXZuhKhPCt8zdaLFSwbIePHN5O8A6qRTcT07xuyn8HVWGyLFI33n14rJTrnHxjjIunpynkKjiOi6op9AwkOPTEIDv2djW9zu4zpm1f99haey0xU65yYXYpjCDq8yAIUCxVMVM29UYNWRQRJYFyscqpxSkW4nl27+wgen1BpVLTSWbLPLWvj73b7q1qxXVdGrq54rXWchxyRh3dtlFEkZjmRZElLNvBMDce5FO30iSEGbq5iuKUARdL8CGKAWrGDHDsnj7DZtGoGZiGhfKe61Rfe5RytUG2VCPif9er0HnPd+C6LsnrovDHntr1yAZD1esGpVKdhmLydmaCmmWgiBLy9cCOycVF/uf4G/QFYny27yhdvugDHnGThxVBEPiV408wPZZjoVCiGjTwSgqyKOK4Lg3bwnYdEh4/+2IdlO3M9RBDaNQdLNNlYNiLJAuYtotwS3mKKEi4ODjuygt+/3/2/rO5jitP80V/K9323sB7gA70kihS3pVTma4uN+1nOmbmTJxzZu6N+xXum/sB7ptzI845EzM93T3dU9U9XV2lsl2lMvKi6B1Iwntge7/TrPsCJEWIAAhSIABK+YtQhIIAdq7cO3eulc/6/59HV1WqprkpT3CXnaHhmDjIOyE1jrQQn6i0sx0HRQgUVoqT7FvXgJQqijARwkTiRRWCat3Eq2r88dBRFCF4a26CTK1Kw7SRUmKoKj5Dpy0Q5PWefXy5ey/IAnbzPI55EZwqKElU4whCP4AQW1+EkKvVuDC/wGyxiBCCznCYQ60thL3bvx6tWiZNxyZ6Hz9PVSgUm2u3m1esBpa0Caieh/Isv42ha7z+hUMM72vn8rVZ5heKqKrCQG+SfXvb7yTBP5saIukJ8WFmjOulBQpmDVUo9PgT9IcShHSV97MXCao++oMdhPQA+UYVy3EwNrABMBSo2woNW2BoFo4UmM7aGzYuLi6fDVzx02XXoOsqiiKwrM0JRJbl4PWtPLBevDLDR+cmaW0JE/hE9aTjOCyMLbM4tkztVpq6Yqj8bLFEe0uUo0e6MTSVg52tHOx8uKodTddQVGXNaq278Qc8dPel6O5LISVMXp9ncF/btgifAD5NAyTOrZCBT2I7DhK5YdvQ3cznS/z3t84xtpgl5PUQ8nmQSGayRUYXznNpap7vPXOEyBYLjrqq8vVTw1iO5KORafxenWQ4sKr9XkpJpd5kqVDG0FS+cmIfT+zZuYRGXVvxRH2QqljbdvAaK59FIVfhh3/3HqMjC4TCPlo7Y6iKQq3WZOz6PBM3FnnhS8OcetENe9gMUkoa1hSmvYSi+PDpAygP8dCjq+pKYvEG1bf1psmV2UVMyyHqX2ntrC3VqE1WMFAIJ32UaitVnV6vTtN2mM8WkRcdegZSWMpKUNIzR/r40jP70Nbxz9ssQgg8Hp1asXrn36SUzNbKXC/mKFkrYxEIgppOuyeIX1E3fVzp5InZv0ITV9BkGBs/INBkmQ4xjd/xIu1nEOrOV0kaXh1NV7GaFsZdYUYeXeNAXytXxhfIFCooQiAdB+XW3NS0TbLFKqWKSSTg5WvP7ufI0ONrT+Hx6tQ1k2tz8+gxjbgngEDg2BJTseiMxYkGgoyXl/mb0ff514On1mxBvBspJaZl35rTFXRNde9NnxO6W2L8r68/z3/72ftkG1XqikXDthBCEPf46QhESPuC6IpKxVaQQK3iUCraDO730Tu0smbQ1VuJjLeQ0kGgoIi170WW4xDxet3rbBejKxqClepfVSgoQsX6hOCkKAqmbSFZ+fjVWxeBEDYSBSlX1nq2I/F6Vv4/qBt0e2K815zGbDhY0gYhqJhNVEchFgxyItmFYo9gVv8e6cwCHoTQkdYYjvkBirYPzf8nCHVrWr2llLw7NcUbV0fIVKuoigC5EvSVDgT4xoH9HO/Y3nnDq2loikLDtjdc69vSIaivXhNNVpb4IHOD66U5bOkQM4Ici/fxRHwAQ3k4SUFVFfp7U/T3ptb9HSEE+yJt7A23km1WqFpNTMfkfOEyF4sXqNsNbt8ownqAE/FhgnoAVQhMR6Kts3QxHVCFRFfkrSAkgfaQ5+Hi8mkRrJrutuV4n0fcb7jLriGVDJFMhsjlKrS1Rjf8Xdt2cByH3u4ktu1w9sIUqiruET6llEycn2HuxiKqruINeEAIGtUmSzeW+Ie/eouDB9rRPqVnZSjqJ9kaYW5ymeAmE9sd20FKSHfG7//LW8TeZIqo18dyde3W96VqlbjPz97k/RMNG6bFD969wMRSjoGWxCphJOzz0jAtLk4t4P3gMn/2wrEtfxjxeXS+8/whulIRPrw2zfRyAUdKNGXlQcqybXyGzt7ONCcPdLO/u2VHH4g0TWWgM8GHl6dIrmPufjeW7SCBrpYoUkp++aOzjI4s0N2XQtM/3hwIBL0Egl5ymTK/+8VlUi0RhvY/viLMdmA5RZbK36fSuIgjawih4tG6SAa+hd8Yuv8L3IWmKnTGI1ycXiAZWvtzXSyWqTSaxAN+hAC7YVOZrmBLSSTmIxkO4PcZVGoNqnUTJNQVm+VCBfu65AtfPMiTB7rY29vyqYXP2+zpSfGr96/fqZCaqZY4n1vEAcKaB01RsKWkYjU5n1tkOJqkJXH/kCUpHazqDwjKOfJqOyW7hkdVAUHTVjHUdlqUIlblb9FC/9sjqbJ5EFp7kiTbo2QXC7R2r77v+Tw6hwbaWcyVGB9bpKQpLMgGE2NXqNpl/AEY3pPi1eEDDHd07dAZbA2O4lBsb2KOWQRrXtBWWuEry3UCcQ/R7gC6otIfTHGjtMhv50f4Tu+Ta75Wpdrg2ugCZy9Nk8lVcBwHRVFIJYIcPdDJnv4W/FsQIOeyuzm6rwMhTvDGby+RK1UJhbxEQz58mn5nLpZSgmlQWlbQlSZDB4IMHw/esfVIBLQVAcOW6Kqg4dTxqF78qv+e40kpKTYbPN/Vs63n6fJgdPiSxI0QuWaJpCeCT0tSaIwiJXfakwNeg1rDpCYlPiEI3vqBUCvYtR5wvNQaJoau0t+2IlR+ND/Lj2+MkPQEORBrwUFiS4kmFGzH4WY+yw+v/Yo/7X8fhQJCHbpTcSpUkLKBY17Eqv4NWvB/2ZK56czsHD+4cAlFCIaSiTtFB7bjMFMs8XfnL+DVNA60bJ8dU9LrZyia5NzS3LrVn1WziaGo7I1/PCdeK87wj1PvUjCrxIwgHsVgqV7gh9MfMF3N8M3OE+iPWDgUQpDwBAnrJv808xuuFMdIe2K0eOIIIXCkQ7ZZ5NeLH/J88jhpf4iFShav+vG1dRspoWIq7IkV8Wp+8rZBWPeT8jwaj1MXF5fdgSt+uuwaDEPj6OFu3vjpOUzL3rD9fWm5RDweZM9QK1MzWaZmsiTi9/ptFpfKLIwt4w16MXwf73BqER+KJhi7PMs7v73G868Of6qxq6rCoacHmBiZx7addZNN7ya/XCKWCjF0aPsemuM+H8919/Dj69cASPr9KELgSMlytUK52eDre/cT2UQrzsjcMqOLWXpS0TUFGY+u0R4Lc2VmkalMge5k9IHGWq+b3Bhd5Or1OUqlOkIIYrEA+/e20d+TRNPUFTP0Q/08va+bkellxheyVGpNVEUhEvSytzNFVzq6a6pADg11cObaDNV6E79344f/5XyFZDTAvr4W5qZz3Ly2QEtbdJXweTexRJBifpHzp8cZ3Ne2a855tyGlZLn8DxTr7+HROlBFF5ImDWuKxfJf0xH5T+gPWPXxRE8HF261tBvave17M7kiuqreWXw3cg2suo3iU26Fbwn8XgO/18C0LJqmTaneIKAbtHkDHO9vZ3hg863uDbvOYmMO02mgCIWgFiFhpFddEwcH23jv/DiFcp1AwMP1Ug4JxIyPv/uWbWM2bar1JjcbBf756jVOdnfRHg6te31JewLHvIiq9dCmKizWJ6jZRSSSgBYl6elGV71I+ybSvIowjmz6vB4Fhkfn8DN7+fnfvE290ljZILsLXVNoiQSo+32cemkv9okMi7VlQp4giYSKqU8xLup0mwlC+uPbCn6tuIDVK+mrt5AdKVGcq6EogmDaR8+pFLpvZbmoCoWUJ8SF/AwvN/aR8Hw879q2wzunR3n/7DiZfAVdUwkGPOi6iuNIxqcyXB9bJBkLcvJ4HyeO9m5qrnR5PBFCcHRfJ4logLNXp7l0fY7ZuQKqoqAoK+sO23bweXT6eqJ4O/IcHAig3tWm2h42iAc0clWLZFDFlBYtRhuquPfxpdCoE9QNjrW5m3+PEikdatYEdWsaRzZR0PFo7fj1fsQ6Fbl3E9C8DEf6eHPxHDE9iF9LUzKnsWUdTazMPwGvQa5co2TZ7DEMdCFArHRu2dUBHEcys1xgqCtFX1sc23H47eQEEklLYOWepCK4fSkpqkpfJIZo/oJSfYpo4Og9c5gQHtD6cayrSPMKwjj6qd4ny3F4c3QUy3Hoi6+eG1RFoSsS5mYmx2/GxtiXTj2yVPVPIoTgmbZurmYXma+UaA2s3tRs2jYT5QKHk60M3go7atgmv5g7R9Vu0B/4uJAgpPuoWg3O5MYYDLZyLN6/4bEXS2XmiiWato1H0+iKRoj5H9wq5mZ5muulKTq8KTzqx2tpRSgkPVGWGjnOFq7xXMcwPxh5m3zDJGLo3HYnciRk6ioB3WIgkkeyh6Jl8kxigID2eFrXuHwGkHcZFW/X8T6HuOKny67i4HAnV6/NcXNsia6O2D2p71JKMtkypmnzhVeGCAQ8XLgyQ9O016wkyczmsS1nlfB5G1/AQ365wtn3Rz+1+Amw51AXLZ1xZseX6exPbSg+NWpNivkqL3z16La1vN/mi4ODAPxucpzr2QwKAokk6vXxtT37eK1/48XLbS5OziMlGNr6t5Gg12AuV2RkdmnT4qeUko/OTfL2+zdYWiqhKGLlOpAwOr7EmfOTtLdGeem5PewZXGmbNXSNg32tHOzb+TbajejvTLC/r4VzI7N0t0bxGGu/d4VSjWrd5JWnhvB7Dc7eWKBWbdDaEd3w9ePJIOM3FslnK3e8Il1W07RnqDQv4tHa0ZSVtl2BB6/WT9W8RqV5nqjv5Qd6zX1tKdqiYWZzBXqSsVXf/WrDpNJo4jc+vgfVs3VsJD5DX/XvALqmrfynqzQsG1VTuD66yKHh+1s2lK0iN0tXuFm5QtHMIW/5pBmKh1ZvJwPBA3T7B1CEQnsqwhMHuvndmZtkzBols0nUWBH+6pZFrlaj2mzSqFtoHpWsVefvzlzgvclp9qWTvDY0QHc0es8YpHkFZBVENx5F0Onfj+nUAYmu+O68N46U2OYFlIcQPxdLZcYz+VsPUCoDyTjxwL2VYJvl6Av7mB1d5MK71wlF/cTSYVRNxXEcCstlcktFBg52cvxbHZxtXuao0Y6m6LfOI8xCY5KJylUORk899Bh2muvFBVCh/2QL7ftjVHNNVF0h1OJF+UTPYNTwc7O8yGhp6Y74adkOP/31Jd49M0bAZ9DTEb9H2IxF/Fi2QyZb5o1fXSRfqvHF5/e7AuhnnK7WGF2tMZ4/PsDVsUWWc2VqjSaGrhEOeBnqTaOFK/x66WcsWwuklJY7be2qIjjU5uc3NwvMl0u0BcMkjHvbY8vNJvOVMi/39NPpJr0/EqSUlJrnydXepmrexJF1uLV+VPAQMPqIek8R9hy/7+brU/E9jFXmmKgs0OFLEtQ6KJrj4Ag0xYMUIH0G0VoTb71JUzTxBvKY5QGWliJkChm60lG+8cwwqqIwls8xUcjdET7XIqBb9HjHWaj5iAXXHp8QHqQEu3kW5VOKn+O5HJP5Aq2htcckhKA1FOBmJstMoUhXNLLm7z0KDiZa+IOBA/xo9CpXc8tEjJVuj3KzQcNxOBBP88d7jtzxMh8tLzBXz9Hhi9/z2fo1D1pT4Wx+fF3x88ZShvcnp7k4t0CpsdKiLpHEfD6OdrTydE8XnQ9w/leL44BcJXzeTdyIMFVb4Kn0AabaxjizOM1CTaAKFSlXusPCRo0n0jnivjZmzQgpT5zhyIN1/jxKso0S10pTzNey2NIhogfYE+6ky59a1/bDxcXl/rjip8uuIhjw8I2vHeNHb5xldGwJRRGEwz4URdCoW5RKNQJBL6+9coDjx1Zam0zTXte3ol6qo65TKQcCRVfIZ8pbMvZA2McXv3uCf/6r3zN1c5G2rgS6517xtlyosTSXZ/jJPk5+4dOLrp9E3trJWW/xqSkKr+/Zw9OdnVxdXqZqNvHrBvtTKeK+tXc8HSlp3gpAub0YyldreO9jFyDESrhSsdbY9Nh/+9YIb/7+Grqu0tkRu6cCuNG0mJvP8w///BFf/eLhTYlCuwVNVfjGiwexLJvLYwsrXqXRj71KK7Umy7kKCHjxiQFOHu4FoFppoCjKfR8oPF6dYqFGrdok5nburIlpZ7CdMobaserfhVBQhEbTevCkYI+u8bXDe/nrd88ynSvSGQvf+axsx1nx2L31vXEch0bNQtHErTb4tT/T2xXZqqZQLq8dOnA32eYSby3/gsX6LH41SMrTiiq0lXAjp8Z0bZyZ2gTD4eMciz2DIhS+cGovjuPww7NXKNcaBNCoOE2WKlWapoUmFMJBL/FUkGKzQToQIOgx+HB6lsl8gT85dpg9n7DIcJwiCO3OeQkhMNQ17ivCA072Qd5mFktlfnntJpdmFyjWGwix8gAV8Xo50tnGa3sHHqqKxPDqvP5vXiDREeXCW9eZvrmIvJXyHo4HOPWVo5z88mEmxQVoyjvCJ6xUmujCQ6658MDHXSyWuTA1z2y+CELQnYhysKOFRPD+Qq5jZ3GsS0inCOgo+gCK2repyqu1KJt19FstoN6IgTeyfmW6IgQCQd22gJX79m/eGeGdj0ZJJYKEAutv6GmqQksqTLFc560PbuL36rx4cs9Djdnl8SIa9nPySO96P+WF1Bd4e/lN5uuzaIqGV/GteJD7Kwy12owtBrEacUqaTcTjIISgZposVMvYUvJsZw9/sNf1vH4USCnJVH/FUuUNJDaGmkZT7qr6dipUmjepmDdpWAukAl/e8F4UMYL8Yedz/HjmXcarCzjSjyNbKJmL1JwKmtDpCXk4kNIolxcoVU0WZtvJzu0l6FV58Ug/p4Z7SUVXxlBpNmlYFv4NPCx10cCnWVTM+2QKCB/IB5ub1qLcaGLaDj59/TH5DYO5UpnyA4SMbgVCCF7s6KM7FOX04gwXlxewpUNfJM7TbV0cSbYR0D+eA0pWDUfKdX09/aqHTKOII517hLl3xif5pwtXqDSaJIMBWkJBhBDYjkOuWuNX18c4P7vAd48e5GBby6bGn2uW8Crr2xKoQgEJjpD8x+E/5/vBH3A1d516s4omIOWzaA/qOEo3k40oaW+CL7Y8T9yIbur4j5KmY/HmwjnO5W5SNKtoyopXtunYvJe5Sk+ghS+1PUnau/NjdXF5HHHFT5ddRzwW4F995wQjNxa4cGGKufkC5q0gkCeO97J/XxutLZE7C9yNPPA0j4Zjr59QLG2Jz791nnO9e9v4g3/zAr/4/vvMTWVAroiiiiIwmxblYo1AyMuTL+7jlW8+gec+rc8PQsXKMFu9wELtKjZNonon7f5DJD2Daz4MJPx+nu3u3vA1q2aT9xemeX9hinyjjl/Teaqlk6dbu/Dp+qbCe2xH3lckvc3FyzP85q1rhIIeYuv4YnoMja6OGPMLRX7yy4vEon46O7bPN/XTEgp4+d4Xj3P6yhQfXZlidqm4EpQlVkS0/q4ET+7v5uBg2x3fM93Q1k23vRvLWrFcWK813gUU4UcIA0fWUcXHQpmUEiktVOXhqoYOdLTw3acO8Y+nL3F9YZl40E/c70dRxIoXlePQsByqTRNFVQh7DPzG+t//20EP0pYYno2/PxWrxNvLv2S5Pk+btxPlruRcIQQ+1Y9P9VOxSlwofICueDgcfWolafWFYUyf4K8+OEO9ZrJcqWJLScjvIRDy4g8YCAVormycRLxewh4Po9kcf3fuIv/h6SdJB4N3Hc8LcjOp8ObKQ+YmmS+W+K/vnWEim6clFGQoFbzl8SXJVmu8OTLKTL7AX5w49lBVoIZX5/mvP8GTLw8zOTJHo9ZEN3Q6BtKEb1mqeEreW+nEqx/wbGni1zZ/3TiO5NdXbvLm1VHytToebUWk/mB0ml9dvsmXDg1xaqB7zfu2lDZm/efY9d8gZZZbVwnUfKj6XnT/91DU+3s233P+qoa9iXvMyhgk8pa/MsBipsR7Z8eJhn0bCp93Ew56aZoW75weY3hPO8k1bGtcPl90+Lr4atu3mKyOcb18lbJVQkGhNzjAqy17qNWCfDQ/z8XFRW7mKwB4VI3BWIITHZ0cb23HUN25b6twHMnNpQxXZ5cwnbPEIr8i5k8Q9d3rqaoqAfxKH007y3L156hKiIT/+Q1fP+mJ8Ce9rzJanuNSYZyFeoKm04JPKZMysqQMiaFqhBMvoVp7sGutKEd00rEg0eDquUNXVTRFwXScda8BW2qYjoLfuN99rgni4TsJbmOoKooA07bR1xlT07bRFGVHrlshBP2ROP2RON8ePIgtHTSx9ia7R9FhjbnvNk3HJKyH7/nZuZl5/vH8ZVShMJhKrHptVVEwDBWnafHu3AQfLE7x+qEhvjywl8HIxnOYT/Ow3Mit+/PbRSCG0Eh4YvxJ3x9zJXGDy4VzFMxlmo7NRFPQcExCmo1HaBTMIi1OAl3ZXODro8BybN6YeZ/TuevEjAC9wdZVdgg1q8FIaZqSVeO7XS+Q8m5ftbCLy2cFV/x02ZV4PDqHhjs5eKCDet3Eth08Hh19DVEnGlmpnjJN+56fx9siLE9msS0b9RMVhGbTQjoOe49sredm92ALf/7/+jJjV2a59OEY81NZHMchFAvw5Ev72Hukh3RHbEurE/LNac7n/idlcwFDCSKEymz1PAv1KwwEn6c/9PwDH69sNvivVz7i/PIcXs0gqBvkGzV+cPMi55fnOZhq4ezEHLbj3KkG/SQN00LXFHrT9/fCs22HD86MA6wrfN5GCEFrS5ixiQxnL0w9VuIngM+r89yxfp4a7mZiLkel3kAVCtGwj8509I7oeZuO7gS6ptFomHg86y/Mcpky7Z1xEklXSFgPn96HT++j2hzBpw8ihLqSSm0voCphAsbDV2Mf7W4nFvDzwdg0F6bmuLmUwbYd6qZFtWkS8XnpS8bACZIdL9wJG1qLumnh0VSQ0Ne98YPAaPkqi40ZWj8hfH6SgBbCkiZXimfpD+4lqIVRFYWXDw1wZmmOG8sZfD6HuN+Hqt3lUWpZ6Kp6R1QUQtAXjzGynOHD6Vle3/dx5Z6iD+A0NKRsrBsYIaUN0kTRD2x4XrexHIfvn7nEVK7AUCqx6n6jCEEy4Cfq9XJjMcM/XbjCv3n6/m2X6+ELetl7vG/Nn7X7BgjrCZabs8T0NIpQKJgZPKqPLv/mqxd/f32cH5+/RsjrYU9LcpUVwEKhzP88fRmvrnG8p+OevzXrP8eq/RBEGKHuuVNdJZ0ytnkGWanjCf57hHL/cKq76QkkeW9p7E4C80ZUrAY+zaDDFwXgyvV5yuU6/T0PJromogFGJ5a5emOe504MPtDfunw28WsB9oUPsi98EFvaCMTHgkoQhlNtLFUqLNeqONIhaHjoCke2zS9xK6iaTa5klsk3apiOg0dVaQ2EGIol7mwo7DSW7fDDs5d598YUTavOwd43KdslxpcC7Gkt0hFde7PHUOM4skau9hui3idRlY03uHRFY2+4i73h1etw22lgyyaK0FGF5773855IhHQgyFK1Qsc6tgc128tMrYWh2PpVnStzUxNFP7jh8TZDbyxGKhhkuVKlLbz2/XipXKE9HNrWlve1UITYcO3QF0wTM4IsN0qkPyG4WY5N1WpyuLV31b+bts2/jNzAtG06E/ee32KtzMXsHDXLxPColCpNfnJthPF6hm8PHOZUS+89f3ObPcFubpSm1p2vSlYVv+alO7BihRXSA5xIHOFIdD8TlWneXHqXmrNE3IjiV30sNbP8bP43TFRmeK31OYwdEkAvFsY5m79BizdKQLt3I9GneegNtDBeWeBXC2f4XveLbqW7i8sD4oqfLpsmt1yilK8ipcQX8JBqe/RBMkIIfPdJhe3vS5FOhsjkyrSmV0+w0dYI0dYI2dk8/ojvThu61bTILBRJd8R5YQv8Pj+J4dHZe7SHvUd7kFLi2M494utWYUuLK4WfUTGXiRt3tT1qSapWjpvl3xP1dJHwrP1Avx6/mRnj7PIc/eE4HvXjW0WL43C9sEw44SEdDjJ9K8zok9eCIyVTmQJ9qRhDbfd/KJ6YyjA9kyW5Sa9KIQSxqI/L1+Z49uTgfQXT3YjH0NjTc69/2SfpHUjT1hVjZiJLd39yze9drdrEMm0OP9n7yK61zwJCaCQD32JB/jU18zorlXMOqhIh7v8qHu3TJQX3JKL0JKK8sr+fGwsZak2TD8amOTc5x5GuVnyGQdlXozhbplm38KzhRwySpmWRMILEo372Dq3vZdt0mtyoXMGnBDZ8eLlNSIsy35hmqjrK/vBRAGJ+H4c7WnlrfBKPrqFqyh3hs2nZlOtNOmMRwr6PxUxFCKJeDx9Oz/Bify+BW1WsQtuLUHtwrDHQBu9pfZRSIu0phNqKoh+673gBbi5lGV3O0hWNrLvRoqkKbZEQV+eXmM4X6Ypt/cOkXwvxdOJLnMm9Sa65hMQhpMUYjpwk7d2c/Ual0eS318bw6Rqp0Op7liIEbdEQE5kcb14d41Bn66qKIcdexq6/CSKMoq5uDxRKEMQgjnUVu/kRmvfFBzq34Wg7CU+A5XqZFt/6VaxSSubrRYaj7XQF4tTqTc5eniYY9D7wekAIQcBvcObSFE8d7V3XA9nl84m6zv0sFQiQCjx+832mVuWDuWnem5tmoVJGCkCuODPrikJPJMbJti6ebG3Hu0H79nbwwdg0v7s2TjIYoDWWIxmu0DRbKZqSa3NLBD0GEd/aVd6GmqZmTVBuXibifeKhjq8qHlQ235Xl1XROdXTx/auXqJjNVS3bsHLfmigW8EUPEfGcQdqLCDV9z+9Iexyhdmx6btoIv6HzTHcX/3j5CsFGg5Bn9fnka3UalsWp7u5dX7Ec1v08k9zHT+fOMFfLkfSE0YRCyaqz2MjTG2zhcHT12unGcpbJXIG2yL3Cb9O2uJpboGnbJDx+EAIdDavpUG9Y/HD8Er2hOG3+teeioVAPrfmrTNcW6PS1rBJAa3aDTDPPE/EDJD7Rxu5RDWZqC+TNIgOBnjvp9DEi1O0Gl4vXafOlOBb79OL3g2JLh7O5myhCWVP4vI0iFNKeKKPlOebrWdp8rsfVZwZ567/tPN7nEHel6bIhUkrGrs5x6fQ4Ny7NUK82VkJuvBrdAy0cfKqPoYOd6Dv40OIxNI4c6uKnv7x4T0q8pqsMPNGNpivk5ovUinUQIFSBLx7g6396kkj007e3bIQQ4pGKUbnGBIXmDGG97R6hwa/FyDQLzNeuPJD4WbNMPpifJmp4VwmfsNL62uoLcrOU4euH9/HLj25ycyFLSyRI8FYbf6FaZ7FQpiUa4g9ODK/b8nM30zM5mqaN7wGsACJhPxNTGaZmco+l+LlZNF3l1deP8E///T0mR5dIt0Xu2DU4jkM+WyGfrXD4yV4OHN3YyuBBkVJStxcwnSICBa+aQlcf71Ybr95DR+Q/Ummcp2kvoSp+/PoBPFrnlm3oxAN+TvSv3Fv603FylRrluonPMAhEvLT0RJm5kUGIlZbruynVGygm+BSNU08PEo2sf49absxTbGZJGJvzylrxqDSYqt68I34C9KfiRAJezKZNtlJb8dO81drcHg2zr/XeELekP8BYLsdELs+BlpUHSSEMVP93kJX/grSugdoKIrryB7KEtOcRShjN/23EJi0GrswvYto2PmNjQSDk8TBXKHFtcfmRiJ8AaW8Xr7b8EdnmPI50iBlpPGt5mq7DyPwyy+UKvYn1q9VbwiFmcgVGF7Psbft4c8QxLyFlDqGuXWUqhI7Eh9V8F9Xz/AP5f0YMH8+mB/nR9Hk8TY2oce81J6VkppYnoHl4Lj2EEIJMrkKhWCWVeLBK09tEw36y+QoLy0VsAZZt4zV02hLhDS1tXFweJ8YLOf7myjnGC3kiHg+90Si68vG6qGaZTBXz3MhluLi8wB/vP0zEs71hmLexHYf3R6fQVZWI34vHmEbgIDEIeSWZSpWFYnld8VMROiAoN68+tPj5MDzf08tsucS7M1N4VI2k348mFMpmk6VqhaTfz0v9r+MNdGHXf4w0RxBqEtBBVpFOFqG2oPn/FULZmvnjhf4+MrUab09MslCqEPZ6AEmh3kBXFF4ZHOCZnq1dsz0qnkntRVMU3l0eYbqWwZESv2pwNNrHF9qOEtZXzxk3lzJYjr2m5+lSrUzJbBC7JXwCeHSVat3EsHVyjRrnM3Prip8h3c/rbc/xk7m3mKzOowsNXVFpOCZCCA5GBnkp/eQ9a5aSWWGkNEpUC98RPm/jVT14FINLhesciuxHU7ZXkF6o55ipLpMw7r8uCmheFht5Rsvzrvjp4vKAuOKny7rYtsPvf3qe9351hWbDIpYMEksGEQLqNZObl2e4cWma4Sf7+OK3n8IX2DrvzAfl6KFurt9c4ObYEj1dcbS7xEaPz2DoRB+VfI1KvoptO+QqDQ4d6+bUqe1P9rMdB9t20DV1S4SWmp1H4qCtY/6tCy8l88FCXAqNOkWzTtyztugSNrxkillSiRB//sIxfnN5jJvzGebzJWAl5f2pwS5eGu6nI765RWStbiLWja5am9vt4Y2G9UB/9zjS3Z/im39ykt/87ALTExmajfwdgSoc9fPsKwd4/rUDGFu0EbGS7HqN5fq7lBrXseVK6I6hRoh6jpDwPY1PW78icbejKWEivue25VidsQivHRjkR+euIkqQDAXo2ptCSsnCRJ5auYnh1RCKoFJr0qib9LcleP21Q5x6amDD1zadBg4O2jpBBGuhC52aXV31b5YjaY+GaA2GWCpXaZgmuqqSCAaI+deu6tNUBYmkbq3+/ilaH1rg32I3/gXHvAz24soPhB/FOIzqeRVF3/y9N1+rbaoyRgiBIgSl+uYC1h4WTdFJex/OLqVYq4MUGwp7Xl3Dsp17zkPKAiA2FDWFEkQ6eZCNB/JUBXixdS9Vu8nvFq6TaZRJekL4NQOJpGjWyTYqRAwff9B1lL2Rle9+07SxbeehhUoHyVymyH9+430a0sayJYam0p4M8+TeLo4NddwTeufi8jgxWy7yXy+dYb5SZk8ssWb1uk/T6Y3EqFsmHy3MIiX864NH8etb5wu/WapNk+Vy9Y64qYoaDre+g0Kgqyql+4RYKujYTvFRD3UVHlXjj4YP0xuN8d7MFHPlEo6U+DSdF3p6ebazh55IFCnTKFo7dvM9pDmCpIYQPlTvV1A8J1DU9i0bk6GqfOfgMAfSKT6cnmUit+JTebKrk+MdHexLpx4bywZFKJxM7uVorI/pagbTsYkZQVq8kTXXB+VmE3UdAbF2Kyzv7nMXQoAAy5cApxoAAGcsSURBVJboispCtbTheNp9Kf6o+0tcL01yvTRJwzGJGSH2hnrpDbSvKV6WrDI1u07Ks7ZgGNT8d34npGxvQUXdbtJ0LLzq/au+b7/fVevRrnVcXD6LuOKny7q8+y+X+P3PLhCNB2nvWT0JBEIqgZCXWqXBuXdvIoTg9T86uWNBK8GAh2985Sj/9MYZRseXCYe8xGKBOw9kQgi8IQ9Vy6ZarnPwaDff+MpR/FsYdnQ/5paLnLk2zeXReSzboSUe5Ni+Lg4OtH2qChdV6LcCKJw1H4odaaErD1ZBoKsqmlBoOjZrTf9Nx0ZVFHRFYaA1wUBLgulsgVx5pWIsHQmSDgceSNzVNYWHrcFX1cdj8fhp6epN8sf/7kWmx5eZn81jWzb+gIf+Pa2Et7CCWUrJUu0tZss/xpENPGoKr9KCxMG088xXf0WxeZXu8L8iqPdu2XE/qwgheHFfPxLJLy7eYGR+mXjAR9e+FPHWEEszRRZm89TrFoah8YWnD/CHLx2mfRPWIrdb3TfyD/0kEokqPlnRLUAIwj4v4XUqeu55nVstm2v51ClaF0L91+DMI+0FQIKSRKgPXl2rqyq23Ny9wZYrLaS7FU1V7wQGrfc+OI5EwBoiiQb3CSWS0kIIHcSDL+9UofB6xyH6gklOZya4Xlwg26wggIDu4aXWvTyR6KEr8HHVqno70EtKHnT2b5o2l8YWmMsUCbQE6GqLoasKDdNmdrnI9+fPM7GQ45vPHXQFUJcdZ75c4lpmmbplEfP6GE6l79h9rIcjJf84cpnZUomheOK+QpdX0+mPxDi7OEvfVJQv92/eS3ir0FUVXVFo3goLlaiIu9ZmtuOg33fN6iDYfuHWUFVe6O7lVEcXC5UKtnQIGx5ivo83goQQCP0AQtsPsgSyCUoA8YCbRZtFVRQOtbZyqLUV23HubNI9rnhVg8FQ231/T1MUnHXmbVXcuqKkvFP5CawsExRB03HwbcL6IaD5OBrby9HY3k2NXRMaqlCwpIW+hgRiOhaqULe96hNW5l9FCGwpUTZ1eYhd4xHsskVIufLfdh7vc4grfrqsSWahwPu/vkoo4iMSX3/3yxfw0NYV59KHY+w72s2eQ1sbHvQgJOJBvvsHT/H+R2NcuDzN1HQWKSWKIlYeJoUgEQ9y4ok+njreR3AbK1VvTC3xg1+dI5OvEg560FSVG9MZRqaWGZ/N8LXnhldVqz4IMaMHrxqmaucIaKt3M21pYkuTtHffA71m3ONjKJrko6UZosa9VV8L1TIdwTDdoSiwspjsSkTpSkQf6hyAO629tr2SWL4Z6nUTTVM+0y3vn0RVFXoG0vQMpO//yw9JyRxhrvwGitDx6x97GQpUPFoKQyaomGNMFb/PYOw/oD9guMrnEUURvLx/gN5knLOTs5ybnGN8OY8jJUqLwd7ebg62t3C8v4O+9OYDvEJaFK/ip2qXCWib+xzqTo0+Y/XDQsLvx6tplBtNgp7NPbQWGw0Cuk7Cv7bwLoQAtQ2h3v9BaSP6EjHeGZvaMFwNbifninXDOHYDPYkofo9Oqd5YV2TOVWuEfV56PnE/VbR+EB6krCLWSyN2cqjeV1cE0IdAEQrD0Q4ORNpZapQomw0UIYgZASLGveJAwO/B49Gp1U304IPNYSPTSyxmS4QDXjrTUTz6ypLU51HoSkep1Jq8f2WSeMjPq09sf5eGiwusCJi/HL3Bv4yPUqjXWSlQE7SHwvyr4UMMxddvOx0r5Liey9ARCm9a8PJoGmGPl/fmpnmhq3fbqz+9usahrlZ+deUm8YAP00oghA1ILHvlYTkVXt+bXUqJIxt49XsD27YLXVXpDG88D6xUGm7vXLHR/PVZozUcwnGcNeftuMePoajUbeuOv61lO7dswkBRFPbFtn6Nm/DEaPGlmKnO0+Fb3bkkpaRglTgaPYBP3X7LiaQnQkQPUDDLJD0bd8yZjoWCIO2Nbs/gXFw+Q7jip8uaXDs/RalQpW/v/dtafQEPjiO5fHqcoYNb55n3MIRCXl59cT+nnupn5OYCmWyFesPE69FJJoIMDbTgv0+A0lZTb5j86PeXKJTrDHQl7rw/8YifcrXBe5cm6W6NcXzfwwnHPi1CT+Aprpd+jTQd/FocgULTKVO2lkh4+mh5QPFTCMGLHX3cKGQYL+VoD4TxqBqWYzN3qxXllc7BVZ5Vn5ahwRZi0QC5QpVkfHOhR8vZMh1tMbo6H6+0992MlJJM7X1sWSeor91yLYRCQO+lbI5SaFwm6Xt6m0f5eCKEoD8dpz8d55X9AywUy5i2jaFptESC63qobUREj9Hh7+Vm+cqmxM+GXUcTOr3B1RVF3bEoA4k415aWCXo2931aqlQ40tZG+zpJtlvFcFsLyYCfxVJlzfCE28wXSrRFQuxvfXQbA5+WjliYvW0pTo/P4DeMe6r+m5bFcrnCS/v6iQdXC5yKNoiq78FuXrwVJrV6CefYs6CEUD1PfupxCiFIe8Ok73NJJmIB+ruTXLo2Szi4+eu3VG2wXKigCkEyGcTrvVesDfgMwn4PH16b4uRwD4EH8IN2cdkqPpqb5UfXrxE0DPYmVgIHLcdmPJ/nby6c4z+dOEnct/ZmxJn5WWq2SfA+FaKfJOX3M57Pc2l5kafaNhemtpU8O9TD9YVlbixmaDdb8ft8NK0MpbqP1kjonrC2u7GcIqoSIuQ5vI0jdtltDLemiQf8ZKs1UsHV10vE8NIeiDBRyt6xJqjWm+geQZEaJxLd7I1s/TyuCoUnYodYqmeYqy2S9MTQFZ2G3WCxmSFmRDgc3b/lx90MAc3LwWgvby6cJ26EUDawt1luFEl7owwGd26DwcXlccUVP13uQUrJpdPjBIKeTQuZsVSIsWvzFLIVoptM636U+P0ejh7aGRPxhmVRaZpoiiDk8TAyucR8pkR3y70trEG/h0yhykdXZzi29+GF477QswihMFU5Td6cQkqJrvho8x9ib/g1DPXBW6L3xFL82d5j/PPYFabLBWy50oqZ9gf5YvcQT6a3dtINBb0cPNDBb966huHXQF2pQvKr+poVE7V6E9OyOXq42w3G2EKadoZScwRD3dhEXQgVRRhk66fx2UcYuTLH3EyOZsMiEPDQN5SmdyD90BXNn3WiAR/RwKdvsxNCMBDcz2T1BkUzT1iPrvu7jnTImIt0+fpIe1b7milCcKKrk6uLy5TWSKb9JIV6HU1ReKqr45FveEV8Xl7Z088/nr/MQqlMOrjaUsORkvliCQS8tm8Qr757lzZCCL5+dD+FWp0bCxkiPi8RnxcJ5Cs1yo0Gwx0tfPHgvZWOQmjo/u8hZQ3HuoEksOLxKU2QORBBDP+3ULWNfWK3+nyOHujk0sgszaa1ac/hTLFCvd7E0FTS6fWrr+LhABMLWa5PL3F00H3Qc9leHCl5Z3oSgHTg47Wtpqj0x+KMZJY5v7DAS733BkpKKbmYWSD6EMFFuqIigZv57I6In+lwkL949jhvXhnl8uwiC/kO2uJXaY200Z1IrttuK6VFw54n6j2B51NW/Ls83sT8Po53tvOLazcIez14tLvmBiHYH02jCYWZSoHFSplG02YwFePlzkG+3ju8KZ/vh2Eg2MMXWp/nvcw5FhoZHOmgCZUuXxvPJJ+kxZt8JMfdDEdjA1wtTjFZWaI7kFpTAM02SljS5mRyP55N+IO6uLisZvc+IbjsGJZpU682MR6gysLj0SgXajRqzUc4st3NbLHER7MznJ6ZpWqaKELQE42glMFynHVFoHDQy1KuRL1p4fM8bKuiSn/oOTr9x8g1p5HY+NU4Ib3lUwkTh5Kt7IkluZ5fpths4Nd09kSTj6QNS0pJdChA6YLJpcvXMeIaqq4Q1r10BCK0+cNotxYC1VqTufkCRw93cWh49z0Qlyp1qg0Tr6ERCT4aH6lHhekUsZ06hn7/BEnF8fPRW8v89OIvyeeqK15WqoJt2bz/9g3aOqK89MWD9A9tLonc5eFo93ZzJPI0Z/JvYzVNInocVay+39TtGllziaTRyonEy2suqo+2t3Ezk+W3o+PYQYeI917LCykluVqdTLXCq4MDHGrdns/2ucFeLMfhl9ducm1xmaDHQFdVmpZNpdkkHvDxjcP7eaJr68IqHhWJoJ9//ewTvHdzkg/HZ1guVwCIB/28OjzAyYFuAutYDyhqK57gf8BqfojdeA/pFBFCQzVeQjWeQtUHt/NUAOjvSdLbEWd0KkNvZ+JOEN1GVOsmjbpFuj1ENLb+5tzKxpagVHWDHXYCKSW2PYNtjSGxUZQour4PIXYmiXy7qZhNZkslYt5753FFrHjuTRXza/5tw7Zp2vZDd8joqkK5uXNr6tZIiD86eYR8tU61cZCK/Xc07BEUEYQ13OBtp0bdnsSvD5AOfn1Hu8BcdhYpJfP1HIFEg0C6ykf5Bdq8cTo96TvhjKqisCeaIqR4mKXIof4W/vT4UTpCmwtJ/TTsCfXTF+hitrZA3WkSUH20+VpQN6i23A6Sngjf6DjFD2feYayyQFDzEtb9CAQ1u0m+WcarGrycPsLx2PbP9S6PGNfzc1twxU+Xe1BuBxg4Gwcr3M2KZ/WK8PF55PzcPP/j4kWWK1WiXg9Bw8B2HC4vLrGYLdOwmvQ6cYw1FsG27aAqAnVzDtcbYqgBWnybM/7eLB5V42Di0aZ6O1Lys+mr/Hz6Go19ELX8VBca2MIm46+wXKuw4C3S501QKqx4bh0/2s2XXzuEsYuqvGaXCrx3cYIrYws0TQtDU9nbk+bEoR66WmI7PbxNIYQKQiClAxtcko4jOfNbuPSuoDXu0NWbXOXV2miYzM3k+Ke/f5+vfftJhva5VSCPCiEEByNPYqgeLhY+ZLExi4qKpuhIJA2njiE8dPsGeCrxIhF97WtRUxS+ObwfXVV5e3yChXKZmM+HX9eRrKQA5+s1AobBF/cM8pW9e7YtuEERglf2DrC/Nc2F2XkuzC5Qa5okAn6OdrZxsL3lnta63UzU7+VLh/bw/N4+cpUaAMmg/47v5UYIJYrufQ3N8xLIOghtR8UoQ9f4+heO8N//+UMmpjN0tcc2rPi2LJtcroLXpzO4pxXlPj54UsrPlVfebsG2M9Sq/4BpXkLKMisTgoKqtuP1fRnDOPGZF7h0RUFVBNY662FbSgx17e+scivYRj5kkKOU8r5dLY4jmZzJcmNskWq9STwaYE9/C+nk1lmRRP1eov42TPtfM1f+AeXGFRrWDJoSQQgNKS1Mp4AiDELGIVpD38VQXSuizSClpFyqI6UkFPZ9Jr5PDdvk5/MfcSE/RsWuY0QFHlFntDbKWHmKNtlBiDCWbVM3baJ+L987fJgv7R96ZNWea6ErOj2BlarqSrPJpdlF6qZFIuCjNxHbsTmnO5DmT3tf4WJ+nHP5UfLNClJKDFXnycQeDkZ66Qu0fiauFReXnWD3qAYuuwZVU0m3R7l5ZZZ4anMLqHKxRiDkJRTZusTpx4XxXI7/fv4CNdNkbzKxakKK+Xz4hcY72Uk+ys7zdKJ91c+llBRKNU4d7ttVIt528/7SJD+ZukLU8NHbEcdK2eSnKyyNFikv1zErFhPZLM2wzRcO7+PwcCeD/burpXpsJsP3f3mWpXyZRCRALOSj0bR4//Ik16eW+farRxjqTu3Y+CzbodkwQQg8hrZuqJRHTWEoUUwnh6qsL3pPjlhcet8knoiTSt3bturx6HT2JJidzvGLH52jrSNGMPT5qBbaCYQQ7A0dpsc/yHR1jKnaGFWrjCo0Ep4UPf4hkp7WDX2kYCVs4w+H93O8vY0zc3OcnZmj0GggAJ+u8+W9Qxxpa6M7GtmRxXdbJERbJMQX9382AnD8ho7feLiKfyE0EDtvMwOQTob43leP88NfnGdiJouhqyTjQbx3dTPU6ibLuTKmadPTmSBj1fF4Np73ag0TXVNp2aQPtMvW4Dh5KuX/C8u6iqK2o4gVewspm9j2LJXKXwEWHs+zOz3UR4pX0zmYbuHX42Mk/P5Vmz21Wx0++5Jrz+u6ohDxeJkpF0k+RANI07GJr1FxehvTtPnpry9x5tIkjYaFqihYtsNb79/glef28eSRni29R+tqjK7wX1I1xyg2zlBuXkVKC0XxEPc+R9hzjIA+cI8XscvazExmePd315gcXQIJHT0JTr6wl+6+nVsnflps6fCTuQ/5IDNCyhumxRu7Zc3TSr5e41p+jlpzmVYZIuVJsr8lxaG2FhKBnXt2PD05w08vX2exVEYi0VWVwVSCbx0dpiW0M/NOzAjxfPoQJxL7KJgVbOkQuFUF6uLi8ulwZyiXNRl+so+RC1NYpo2mbywwSSkp5au88NUjeP2fv0CCdyanyNVq9wift2mNhumMhBnL5ejxhmkLrgjKtu0wu1wgHPRyfN/2ezrtFkzH5vfzo2iKSsK7UrmlGSrJ/jCJ3hC1QhOrYVOyGjQ0i2dODtEZjO7soD+Badn85K0rZEtVBjuTd64Dv9cgGvIxOZ/nJ29dpqv1GbwPKXQ8DFJK5uYLXL42y+WrszSaFgBer87hA53s39tGKhladd1qip+Y9zhzlTfwyNRKJegarztyvoJ0FJLx9W0HhBC0tkeZHFtm5Mosx0/0b/1J7hJs22F8fImlpRKWaaPrKumWCN3diXWF5keBV/UzGBpmMDS86t+LhRoXLk1SKa+0D/v8Bn2DaaKxe6slhRD0xmP0xmN8aWiIqrnSehkwDHz64+UxJaXEdBwEK5WtbrXEo6M1HeFP//AEV27Mc+bSFNNzeWzbBgkS0DWVrvYYR4e76OqI8Z9/+gGL+TJtibU9P6WUzOdK9LXG6W11K8m2k3r9LUzrKpo2hBAff+eFMNC0XixrilrtDXT9MIryaAPPdprnu3u5trzMSGaZ1mAIr6ZSaDTI1mo82dbB/nXETyEET7V2cuPKORwpH6hKvtxs4lN1DiTWD31578wY7340SjoRItS6srEopWQpU+Znb14iHg0w0Lu1QpoQKgFjkIAxiJQSiYlAQ+xwu/Djxtx0ln/823fJLpWIp0II4OrFaeams3zrT5+hq3fnfCc/DROVRc7nR2n1xQhod212C0HU5+eEt5+xyjz7on6+2/XUjs/H1xaW+f6Zi1i2Q288hqYqVJtNLs0t0LAs/sNzJ3Z0zeNRddJqdMeO7+LyWcQVP13WZOBAO61dcWYnMnQNpDacoJbmCoSifvYd7dnGEe4OstUaF+bnSQX8675HQsCRvnbyZoPRXJZKrnHrdyWpaJDXnz1Ad+vj0RL9KLhZXGaynKfDf+8DsFAE/thK8EpI+rhaWORSbn7XiZ83p5eZWczTkby3Gk4IQXsqzNRinuuTSxwa3B5Pwkq1wc9+eZGr1+epVpuEQl48t8JIKuUGv/j1Zd5+/yaHhjt47cUDq9KWE74TFJuXKZujBPReFLF68ZdZLDM9XiGZTGOoG1+7qqrg8WhcPDP5mRQ/bdvh3LlJzp6dYGYmh23dbo+UaLpKZ2eCY8d6OHiwc1tF0Ntklkt89O4oly5MUciv+LIiVxoxw2Efe4c7ePLkAOnWtX22Pk1l4k6SqVa5sLjA+zPTFBt1hBCk/AFOdHRyMN3ywOnLLpsj4Pfw5OEejg53MTmdoVCuY97aDIiGfXS3x+98D144MsAP377EUr5MMvKJECtHMpsp4DM0Xjw64La9byNS1jCb76Io0VXC592oahu2dQPTvIDH88w2j3B76QiF+cujx/n56A1GMsvk6zZBw8Prg3t4rW9gw1bdw6kWfjbmI1OrkvJv3pZjoVpmbyxJf3Rt0b/eMPnowiRBv4dQ8GORSQhBOhlidHKZc5entlz8vBshBAL3PvowfPTeKJmlIn2DH/vyhyI+Jm4u8uE71+nsWbuYYrdzuTCB6dirhc+7EEKQ9ES4WZpjsVGgxRvd3gF+gnfHp6g0mwylPhab/YZBfyLO6HKOS3OLPNm9+3IFXFxcHh5X/HRZE6/P4Ivffoof/tVbTN1corUrjvGJ9jTbslmczQOCV7/zJC0du0fAk1IyWckxXy0igaQ3QF8oseVm1oV6nYpp0hleP60WwGNoDLQn6A5EeCLcimU7xMN+9vamCfo2TlV+lFTMJtlGDU0IUr7gugmej5J8s44tHbzaxgKLEAJD0Visl7dpZJtnOV/BduQdcfGT6JqKdCTLucq2jKdcafAP/3yaayPztKTDtKbDqxbSkbCPtJQUS3XefX+USqXJN796FM+tFlWPGqcn/MdMFv8HFXMMgYqq+JFILKdEoeRFmGlS0f0I7n/N+PwGhXwV23JQtfv7+80sF7g8scBcpoRQoCsVZbinlXRsd7W+NpsWP//5BU6fHkfXVNKp8CoRuVZrMjOdZXIyw/xcnte+cHBbBdCZqSw/+sGHzM3kiMYD9PQl7/grOo6kmK/y/lvXGbuxyOt/eJy+gfWrjB4XpJS8PT3JG9dHyNaq+DSdgG4gpeRmNsvV5SXaQiG+vX+YA6nH/3x3K5qq0N+zsfDy9P5uLNvm12ducGNmmYDXQNNUmqa14ucaDvDVk/vZ1+1+TtuJ4+RwnAJCWT/07nZrs2MvbdewdpTuSJR/e/QJlqtV6pZF1OclZNx/7Rb3+TnZ3s1PRkfw6yv3ovuxVK2gCoXnOnvXrRbN5irkC1WS69hBhINexqcyK57yn1Mv/t2KbdmMXZ8nEl294SOEIBIPMDm2TLNh4fE+fpuOc7UcPnXjazyk+VhuFMg3yzsqfjYti9HlLDHfvdYSuqqurEXzRVf8dNk+5K3/tvN4n0Nc8dNlXboHW/iDv3iOX/zDh8xPZZFS4g96EEJQrzaxLJtEOszzrx9h+InenR7uHaYqOX4ydZnrxSVqtokADEWjNxTnK50HGAxv4U64WIkAkJtMTEtHg7x8fOe96nL1Gr+dHeP00jTFZgNFCNoDYZ5p7eFES9e2iqArNbCbvQNL1EewGy6lZDJb4Nz0HNP5Ah5N40BbmoPtLYS893/AWRnSxucgYVMpyJ8WKSU//eUFRq4v0N0VX9dLVghBJOzDY2hcuDRNKOjl9S8euvNzn9bGYPTfU2xeJVs/Q8NeRKAS8xzFF+4lYIwiNjmFSMnKB32f02+YFv/wzgU+vDlFtWHi03R0FM7dnOW350d5driPl4/tjiowKSVvvnmFDz8YJZ2OEAjce534fAadnXFKpTrvvHMDj1fnpZf2b8v4sstlfvSDD1mYL9A7kLonVEZRBNF4gHDUz8xkhjf+4TTf/tNTtLZHt2V8j4q3pib5/uWL6KrKUDy5SjxI+gNYjsNUMc9fnT/LXxw5tm7L6lYhpSRXr2FLSdzr2xXX7m5BUQTPH+5nqDPF5fF5Lk8sUGuYJCMBDve3caC3lVjoIcwSXT4lt2/Wm5iXP0ftzkIIUoEHD1X7cv8Q2XqVd2enaAkEiXq8a1b1OVIyXylTtyy+PrCXo+n1PbeFELc8WNf+jKSUKK7Nx+5ECFRNoXnLhuhuHFuiagri1lqx2bRoNEx8PmNXedyvx0rA18ZIJAKx89emECgCLGe97xCP5HnDxcVlZ3HFT5cN6RpI82f/jy8yPjLH1TOTLM3lcRxJe0+SfUe7GRzuwB/cPSEm05U8/+X6+8zXirT5wnRqUYQQVK0m1wtLLNXf588HnmIosjWVJKlAgIjXS75epyW4flWaIyWm7dAVWbu1dDvJ1Kv85ysfMpJfJubxkfYFsaXDVLnAX4+cYaZS4Fv9B7ftIT3tC+JVdcpmg6C+vtDo3PLuaw9s7XsopeTNkTF+fvk65UYTn6Fj2Q5np+fojUf546eO0B7duLK3IxXF0DWq9SZ+77273vWmia6qtKUe/ec/M5vj2vWVis/NhGh5vTqJeIALl6d5+sk+EndVkqiKj5j3GDHvsVV/k7cr+AOzlEv1NT0jP0mlXGdoX9u6FSiW4zCSXeY/v/0hH87OoBsKmk9FEQK/otNlhGk0bH5++hqKgFd2wQbC/HyBMx+NE48H1xQ+7yYU8mKaFh9+MMrBg50ktzCJdz3OfDDK3ExuTeHzbhRF0NGdWGm3e/cmX/vWE498bI+KhXKZH1+/hkfVaAut/R5rikJvJMZYPsf/vHKZvlPP3Lfq/GEZy+f4l9Gb3MhmcKSkPRTmpd4+jrS4Sa130xoP0RoP7YrvtQsoShJVbcGy51CUtdc1UjYBFVV1q6Luh0fV+OP9R/DrBu/NTrFQKRP1rlSOqmIlST5br1O1msS9fr679yDPd24cVpRKBEknQywsFelsW73mkFJSLNd4brhrWzZcXR4MVVXYe7CT3/3iEvFEEPWWqGnbDvlchWde3IdtO/z2zatcOD9JrWYSDvs4eryH40/07moRtCeQZqwyj5Ry3eu3YFYI637Snuj2Du4TGKrKcFsLb46MkgqursKtNk10TaE/6XpNu7h81nDFT5f7Yng09hzqYs+hrp0eyoZIKfnZ9BXmqwUGw+lVFT9+zWAglGS0nOGN6cv876HkllQ3Bg2DJzraeePaCEm/f13BcLlaJerzcqi15VMf89Pyk4lrjOSXGYok0JSPF1FB3UOhWee3s+MMRpIcSz24N2Wt0iCfrWBbNoZHJ5EO3VnYrUdPMM5AKMHV/AID4eS6C6bleoWY4eNQrO2Bx7URV+aXeOPiNby6xlD6Y58ly3EYXc7yPz66wP/6wkmMDc6juzVGf0eCK2ML9LbH0e4S+WzbYXqxwGBXiv6O9dsIt4pLV+eo1UzaWjYvtEbCPm6OL3Pl2hzPnbq/ABGNBdizv52P3rt5X/HTMm0cRzJ8tHvNn48XcvzDyCUuLixyY36JkOHBrxsIsSJ4V22T87VFfEIjqnv4zaVRjg52EA/vbOrl1SuzVKpNWjb5PsdiAUZHl7h2be6Ri5/lUp1L56eIRP0bCp+3URRBLBlk5Mos2eW9xJO7y15gs5xbmFsJn0tsHBYhhKAzHGGykOfy0hLH27beh3eykOc/nznNUrVC2h9EVQSjuSxTxTzWwSM82e6KRi67EyF0DM8zWJX/hnSqCGX1vVZKiW1Nomld6PqBHRrl44VX0/je3oM8097FmYU5PlyYIVtbqQjXFEHaH+Bk+z6OpFqJ++4/t2mayoljffzwZ2dZWC6SigdRFAXTtJldzBOLBDh64PMbpLnbOf70ABM3FhgfXSIQ9CAQVMp1OrsTHD3Rx4//+QwXzk8RDHnxeXWyuTI//fE5Crkqr33p4K7dPDsQ6eH9zAg5s0zcuHedY0uHbLPEqcR+osaDV1FvNaf6urkyv8jIUoa2cAivplGo18lUqjzR3cFQ+tGv2V1cbiOkRGyyk3Srjvd5xBU/XT4zzFYLjBQWafWF1/RJEkLQ7oswXspys7TE3sjWCJGnuru5OL/IjWyW/lgM/S7zeykl2VqNQr3OV/ftJfkQLVNbyWKtzPnMHC2+4Crh8zYRw8tSrcL7C1McTbZteoG1MJPj6vkpLp0ep1SoIR2Jqiu0tMc49GQfew53ElinQlgRglfah5gs55iu5OkMRO85bq5RpdCs8Xr3gTuJ8FuBlJL3x6cxbZvueHTVzzRFoSceZSyTZ2RxmYPt618viiL42gvD1Bom47NZvB4Nn6FTNy2qdZPu1hjfeOHgKlH0UdA0LS5fmyUSXrutbj2EEAT8Bhcuz/DsycFN/e3h4z1cvTjN4nxh3bAcx3GYnszS2RNncM+9LXxXM0v89ZVzZGoVRFMScAyinrvaXAV4FA0pJVXHZE6pkK/U+Wh0hteO7lyVWLNpcenSNOHQ5t9nIQSBgIcLF6Y4dWrokVbkjN9cpJCr0tmz+YV7OOJncnSJ0RsLj6X4ado2789ME/J4NvWZGKqKAD6am30k4ufvJsZZrFTYm/h4Qyfs8TKez/EvYzc53NK6YVCKi8tO4vGcxDKv02y+i3DCKGoKUJGyhGPPoagpfP5vI8Tu6fzZ7Qgh6ApH6QpHea13gEKjgeXYGKpGzOt74PvB0eFO6vUmb31wk/HpzEorsSJoSYb40svDD7QB6rK9RGMBvvWnz3DhzATXLs4gpeSp54Y48kQvi0slrlyepa09is+3UtUbCvso5KucPTPO4WPdm9503W7avDGeSe7n14vnadoWSU8YTVnxzyxbdRYbebr8KZ5J7o5Nk45omD8/cYyfXbnO6HKWjO0Q9Bi8tm+AL+wbWvU85+Li8tnAFT9dPhNIKZko5Cg267T51m5Rth0HBYWGZbFYK2+Z+JkKBPjzY0f52/PnGcvn0YSCT9ewHUm52SRoGHxpaIgvDA5uyfE+DfOVEsVmgz2R9SvPooaXyXKehmPjVTe+RUgpOf/+KL/+8TlK+SqhiI9kSxhFFVhNm7mpLBM3Ful6f5SvfPepdUOx9sda+N7AMf5x7DxXC0uEdAOfqmNJh3yjhk/T+ULHHr7YsfdTnf8naVo248tZomsYngN4NA3bcZjJFzcUPwGS0SB/9vqTXLw5x5mrM5RrDZKBIEf3dnBosI1I8NF71zXqFs2mhe8hjPK9Ho1arYllOej6/Rd83b1JXv3KYX7x43NMji+TSofx+VcW6lJKivkamUyJtvYYr3/ziXvM+6eKef72ynlytRqD0QSnF6fR1xGHhRAEVANDqsyIIm9MXOOlwwM7EtAFUK+b1OomvjUsDjbC69WpVps0m9aqYKStplptIJEPFHShKCsGxrVq85GN61FSs0zKzeamAkVu49cNlqpbH0LWsCyuZpZJ+Pz3CLHpQJD5cpn5conuSHTLj+3ishUI4SUQ/DPUWifN5jvY1iTgIEQAw3gar/dVNH1gp4f52OLXDfwPcK9aCyEEp54c4OC+Dm5OLNFoWoSDXvp7UuuGL7rsHiKxAM+9coDnXlktBH700QSWZd8RPm8TjvgYz1aYmc7uWvFTCMEL6YP4VIP3steYri0jkSuZEaqHw5E+Xm09StwTWikOqdSoNpt4dZ1k8N75cjvoTcT4X559ivniit9u3O8j4nM3dVxcPqu4s6PLY43tOFy6MceZK9Ocy0xzw7tE3TBpS0VIJ0IoQlBtmkznSszmy5i2Q9lq8JY2Sb8/Rcd9Uto3S1c0wn88eZJLiwt8NDNLplpDVxWeT/VwtK2NrkhkV7Wp3M6f+bRcOj3Oz//hNKqq0DvUsuocdV2jI+DBtmymxpb45795l2/9m2eJp9Z+z59IdtIZiHAuM8vp5WmqVgNDUXm5fZBjyU76Q4l1k08/LfcLXNrsUUMBL6cO93HyUC+2I1GVXWDq/gg59lQfgYCH99++wdTEMs05604IQyjk5YkTA5x6YQ/J9OrPXErJz8dvMF8psyee2PR7pAsVPxqj1RxXMoscSq0fCOHyEHyGr9Wd4PPZUARNx6ZpW/g145Hds10ePUL48Pm/gsf7IrY9DVgoShRF2XxXCECp0eDK8hLFRgOfprM3mSTp31nbks8SoaCXo8OfzpZKSsl4Ocv57AyztQJeVWN/pJWDsfYNvdhdXD6JIhSeTu7jcKyf0fIcZauGKhQ6fElavTGEENxczPDWzUmuzS/RtGx0VWEwleDUYDf727Ymk+FBEELQtkFRiIuLy2cHV/x0eWyxHYef/O4y750fBykJhb0YQmOxXCJXqpIvVWlNR7kws0S+1sCjaQghQUouzi3xf1Tf508OHWF/amvSfv2GzlOdnTzVuXt9lloDISKGl3yjRty79sNHrlnjWLIdzxpt8XdTKdX5zU/OIwSkN0iIVjWVrv4UEzcWeedfLvPVPzq57u+2+EJ8sXMvX+jYQ9Ox0RX1kT48G5pKXzLOR1OzJIP3ttM3LAtNUe4bePRJhBBo6vY/9Hu8Goah0WiYhB4wiKzesIjHAmjag1VT7jnQzuC+NqYnllmcL2BZDh6PRnd/isQ63paz5RJXMku0BoN3Pt9wwEu2VGUjaV4i0aSCoWt8MD/DwWTLjojLXq+Oz6tTrzcJhTb/PtfrTaJRP8Yjrsrx+1c8xGzb2XT1p+NIcCT+wKerRtopfJpOyOMhX6sT9W7uM6maTfYkN/YHfRg8msa+RJLfTU6Q8q+uZlmslGkPhWkLfvYetMpmg98v3OR0ZpK6bZLyBnk61cdTyR5XBH2MURQ/irLnof72zNwsP7x2lYXKSoW1lJKo18urff280j/gXhe7AEdKfjFzhV/Nj1C1mvhUHdOxOZOZpicY44/7n6LdvzsrDT+LdHbF0TSVWq25qvqzUKgR8Bt0dj0ePpQ+1WA40nPPv5+fnufvPzhPsd4gHQoQ8/toWBbnZ+YZWVzmD48N83T/7s6YuBvbcbg4Ns/Zm7PkilVaEyGOD3Yy1Ll+hoGLy5rIFY1iW4/3OWRnegZdXLaA89dmeefcGLGwn572BJ3BKJ16BILg8+rMLOR5/+YshVqTeMBHyKvTxKI1GOJYSzuFeoPvX75EqdHY6VPZNtK+IIeTrSzUypiOfc/P840amlB4qqXzvpP2yMVpsktlUm3R+x5XVRUSqRDXL82SXSrd9/eFEHhU7ZE/GAkhONHbiUdTWSyVkXdNBJbjMJHJ05eIsSe99QLJo8DQNYb3tVMo1Vedy/2QUlKtNTk0fP/PfS0URdDdl+LJU4OcfH4Px070ryt8ApxdnKPUbBAxPq4oaYmG0FSVhnnvdXmbWt3Ea+j0x2NcXl5krnL/a+lRYBgaw8OdFB/gfZZSUq02OXjo0Sfw9g2micT85LObb+kuFqoEIz76B3c+lO1h0FWVp9o7KJmNTX0mTdvGAY63bm2A2m1e6OmjJRhkJJshV6tRaNS5mcuiKgqv9vd/5rzEapbJ39z8gB9NXaBiNtCFymQ5x9+OfsgvZq7s9PBcdoAb2Qz//eIF8vU6/bEYexIJhhIrws0/XbvKe9NTOzxCF4Cz2Sl+NnsFn6KzJ5ymKxCjP5SkL5hgvJzl78dO07StnR7m54b+gTQHhjuYm82zuFCkWKwxN5unkKty7Ik+UqnHd+OsUKvzT2cu07BshtIJon4fXl0j4vMymF7p7vrx+assFMs7PdRNIaXk5x+O8Le/OsPl8YUVT/qRGf7ql6f5cGR6p4fn4uKyBq746fJY4jiSjy5PogqFcGClykcg2EOaMD5KeoOKcFgsVgj5DGxpk21U8Wk6Q5E0qqLQHY0wVy5xcXFhh89me/lK9172RlPcKGSYr5aoWialZoPxYo7leoUXOvo4FL9/O/Gl0+MYHnXTlWXhmJ9SocrNK7Of9hS2lH2tKV4/uBfLcRhZXGYqm2d0OcvYcpa+ZIzvPnFow6T33caBfe34vDqV6uZF/XyhRijoZd/Q9rSRn1uaI2SsDqYJB7y0J8JUGk3qTZPVTcOSaqNJ07LoTkdJh4KUm01G87ltGe9a7NvfTiDgoVisber3c7kKoZCXffu2PlznkwSCXoaPdFPIV3Ec576/7ziSbKbM3gPtxBKPX9jRbY60tBH3+pgrbyyKSymZLhboDIe3rPL/k3RFIvzl0eM81d5B07aoNJsMxeP8xeGjHG999NfAdnMhN8PF/Cy9wQRt/ggxj5+eYJyw7uW3CzdYrO3MRoXLzvHO1CSlZpPuSOSOP7MiBC3BIJqi8LuJCZr2+ptdLo8eR0reXRxHwD1hkpqi0BuIM17OcrXw+Von7ySapvLVrx/jtS8eJBDw0GxYJJJBXv/6UV5+5cBjXU14cWaBxXKFzlh4zfNoi4TIVmucn5rbgdE9ODPLBd65NE4k4KWvLU5rPER/ewIB/MvpEcq1z09xjYvL44Lb9u6y62k2LMZHF6mUG6iqQkdXHMWjMr9cJBZeHSITwceTdHGVBUaULFXbJN+o4tE0kt4AA+EUcc9Ku7emKAhgPJ/nVFf3DpzZzhD3+vm3B57k93PjfLAwzXKtjCIUesJRTrZ283S6C/U+QTKWaZPPVvAHNt/yK8SK/2WpsDmxaLsQQvDiUB/9yTjnZ+aZzhXwahr7WlMcbG8h6H28/K462qLsG2rjo/OTdHdqGPrGt/l63SSbq/DsyUES8UcvfJm2TdU070m2FQKGOpIIAbOZItVS8851aDsOHl1joD1JT0vszrVUs8xHPt71aG2NcPx4L2/9/hqqqhDcwGagVKpRKNZ4+aX9JLZJXDz2ZB83r80zOZ6huzeBss532nEk05MZUukIT558vANMWoJBvrZnH//j0gWmiwXaQ+F7qsctx2GykCdoGPzhvgN4tUcXPNUbjfGXR49TaNSxnZV23/vdWx9XrhYWUISC5xMheUlPgOulJcbKGdK+x7diyeXBqFsm15YzxH3eNUWOVCDAfLnEQrlMV8Rtqd4p8s0q09UccWNtGyRDXQl9nCxnORzv2ObR7X4c6ZBtzlM0s4AkqEVJetpRxKfbMPd6dZ5/YR8nTw3RqJv4fAbqA1oS7UYmMjl0RVl3HhRC4Dd0bixl+AJD2zy6B2dsPku13qQtsdoaqyUWYnwhy8RCjuFe15ve5QH4fHaibyuu+Omya3EcydkPx/jg7RssLRSRUiIlBIIe2vsSNBoWAd+9wlQEHyfoQToaTSfD/nALiUCAqOG/J89DEQJH3r8y6rNG1OPja737ebljgHyjjqoIkt7AptOzVz4L+VCpSfIRvN/1hkk2X0FTVZLx4AO3FQsh6I5H6Y5Ht3xs240Qgi9/4SDVWpOr1+dpSYUIBjz3PIBKKSkUa2RyFQ4f7OSVF/Zty/huz+trFS+oqsLezjTtiQiL+TKVWgOEIOz3kI4G8a9KV5c4O+hXI4TgpZf202xYnD49RqFQJZEIrUpxr9WaZDJlHEfyzDNDPPf83m0bXzwZ5GvffoJ//v6HjN9cIhLzE4sH7oigjiMp5CrkshXSrRFe/+ZxWjZhYbHbOdXZhQB+fP0a1zPLeHWdgK4j5YonpWk7tIdCfPvAQfYlH03V590IIYh6fff/xcccWzooG0wIn8d59vOMI1c8mte7JhQhcGBH7+EuK++/lGxcTSjuHwr5eWS5Mcul/DssNqYwnSYgUIVK0tPO/sjTtPv6PvUxdF1F1x+fzqP74TjyvrmKArHiQf4Y4DgSxL3BpkIRSAn2Y3IeLi6fJ1zx02VXIqXk7d9c5Te/vIyuK7R1RNENDSklxUKNK2enWFRMHEcS9N8rgAoE/rpOWPXQEYziM+6t7nGkxHQc2kNbk/j+OBLQDQL6gwecaLpKIOglu1Tc9N/cFkwDwa0TAkzT5t0zo5y+MEWxVENRBJ1tMZ57apDB3kcvbOxWAn4P3/rGcX7+L5e4en2OxaUSoaDnTtBOo2FRrjQIBj2cemqA117aj8fz6Crg7kZXFAxFo2yu0w4kIOT3EFrje303EvBqOzuF6brKl79ymPb2KGfPTTIzncWy7BVlV678vKsrwdGj3dvi9flJ2jvjfPfPnuGj90e5dH6KybHMnQcPKSWhiI9TL6x4tKZbPhvVV0IITnV1sy+Z4sLiAu/PTFNo1FEEDMWTnOjoZDiVJmA8nsFOu5XBUIrTy1NYjrNqE61o1vFrBp2B2A6OzmW78WkaXZEIlxYXSayR7J6t1Yj7fKQD9wYNumwfEcNH0htkoVYkpN/bvWA5DgJo8X1+18lrsVSf5p3MjymbBaJ6Es+tytmmU2exMUNh+Q1OJL5Ip3/3Vy9uJ23REO+N2Ugp1xTcpZRUTZOux6QQoTMVwdBUKrUmgbvCqbLFKpGAl87kZ2Nd5bJdSLa39PPzKc674qfLrmR2Osc7v71GMOhZ5UEnhCAS9RMMeslcnWJ2NkdrKoz3E8JNo2nhacBgV4LZcon+WOyeiXauVCLh83GoxW1JeFCEEAw/0cvP/+FDHEduStSplOr4Ax5692xNoIqUkl/87jJvfThKwG+QiAWwbIebE0vMLxX5zuvHP/cC6De/doz5xQGuXJvj4pUZms2V0IJQyMszJwfZv6eNZCK4rR5SQggOJFL8cvImbazfBpszy8w0lmk6FmHNT483ja6sTFnlZgOvqtEV2vmFpaoqHDvey+Ej3UxMLLO0VMI0bXRdpaUlQldXfNO+uI+CeDLIa68f5unnhhi7sUilUgcJPr9B32ALkeja7Y6POzGfjxd6enmhpxfTthFCbLqy3eXBORzv4P3lCW6WlmjxhfGqGsVmnZxZ4/n0AJ3+6E4P0WUbEUJwqrOLq8vLLFYqpPz+O/NMsdGg1Gjwhf4BfPr2bLq5rI2uqDyd6uXvxz6ibDYI6h9vOkopmarmaPNHOBB9NMFwjyO2tDmX/x0Vq0Ta07Vq/WQoXlJGO5nmPOdyvyPt7cJQNm8P9VnnUGcrb14bY7FUoSV8rwVQtlojYOgc7no8nst6W+McHmjng6uThPwefB6DUrVO07L5wvEh4uHP5vrKxeVxxhU/XXYlVy9OU600SbeuLW6omkJ/S4zry3nGpjPEIv5b/p+CfKlGsVLn0GAHh57o5AdXLzOSydASDODTdJq2zUKlgkdV+dqevSTXqEpwuT97Dnbwzq8uk1sukUhvXBUgpWR5oci+o920dGxNBdDsQoGPLk6RiAWIhD6uJg34DMans7z94U36u5PbXm23mxBC0NYSoa0lwovP7qFpWggEhqHt6PtyrLWd389MUG42Ca5RgVewKlwqT9CQJhoqWatE3W5yINiNIhQWqhX2x1P0RnZPNZmqKvT3p+nvT+/0UNYkFPZx+HjPTg9jR/isJavvRiKGjz8bOMHPZi5ztbBAoVkjpHv4SscBXm3f+1iHdLg8HIdbWvnq0B5+fvMG1zIZdEXBchw8qsoLPb282Pvp24JdPj0nUr1MVXK8vzTOUqNMSPNgSYdCs0bKG+RbPUdXiaKfdxbrkyw3ZonpqTXva0IIYkaK5cYcs7VRegMHdmCUu5N0KMir+wf40bmrTGbytISDeHSNpmWzWCpTNy2+NDxEz2NS+akqCt989iDpaICPrs9QrZu0xEKc2NfFk3u7dnp4Li4ua+CKny67krEbiwSC9/oU3k0iEaJYqLFvTycLpQqL2TIAkZCPU0f7OHmkF7/XIOL38pvxca4uL5Gr1dFVleFUiue6ezmY3hmhYr2Wj8eJWDLEiRf38usfnUPTVSKxtdvXpJTMTGSIxAOcfHn/lp33xHSGas2kNbVaeBVCkIoHmZrLkc1XSG5DiM/jgKoq+NTd0erbF4kxEI1zJbvEoB6/55pYbORpyCZRdaUq1XQsls0iJbuGFw+OIznR1nlPmI2Li8vO0eIL8ecDJ1huVKjbJjHD74omn2OEELzWP3DHgiJTrRLyGBxIpRmIxT+z4V+PG4ai8p3eY+wJp/lweZL5WgG/anAq3cfxRDft/p3vsNhN5JtL2NJGV9a/t6lCQyLJNuZd8fMTvLinD79h8Jtro1xfWsZ0HHRFpTcR4/mhXk72dz1Wz0deQ+OVY0M8f6ifetPE5zHQdrDbx+Uxxu163xZc8dNlV2LZzn0r04QAVQiO7+2gZyDNcr4CQCISwHdX6Eh/LE5fNMZytUq52cSrabQGN9/qW6ubLOXLKELQmgihaQ9XRWTaNpdnFzkzOct0tkCtbhLSDdqDIfrTcfZ1p0lGHy+h7umX9tOsW7z35lUKuSrxZJBAaCXd1bYd8pkyxVyVRDrMl77zJJ29yS07tn3LOH2tz1FTFWzbWfFfdNl1KELwau8Ak6UCs+USHZ/w3bVwECh3PltVKDhIGrbFXLnK4VQrh1JbY5/g4uKydQghSHkfr3nM5dEhhKArEnET3Xc5uqLyRLKb44kuLOmgCmXXbC4uVSpkqlUMVaUrEtnxSn4HZ1NZnwoKtnTXoJ/ElpKGbmFGHJoNiWk5qIZCKO0hFvM9tpsiuqaiP+TzoYuLy/bhip8uu5JUOsyVxY3DdKrVJh6vTijsw+vR6WyJrvu7QghSgQCpBzDXtyybt8+O8eGlSfKlGkIRpONBnjnSz9F9HQ+0M1k3LX5w+iKnx2ewbIflXJlsqUrDsjEUhQ5/iL5YjBeO9vP84YHHplVbVRVefP0w7T0JLnwwxvj1eZYXi3ArPTQS9/PsF4c5+EQf6fbolh47dSvVvdm07gT53CZfqhEN+4hFXEuD3cqBRJpv7TnA969dZKKQpzMUvrPojWh+5hoZanYTXVEp23UMobFQqjKcaOWP9x/Gq7lecS67H0c65JtVDEUjuEagiIuLi8tuQQiBLnaHgJOr1Xjj2jUuLCxQbjbRFIXOcJjXBgc50tq6Y9WBfnXFq9yRNso675WUEgeboB7dxpHtfizH4fvXLvLbqXEMTWUgHUdXFaqmyaXsImPFHN/bd4gTbZ07PVQXl+1HypX/tvN4n0Nc8dNlV3LgcCdXLkzTqJt4vPeKHLc9JAf3tdG2RR6Sn3z9n751hbfOrITppBMhHClZzJb5x1+do2lZPH2od9Ov9y9XbvDe6CQd0TBjM1nK5ToJvx9dUyg2mxRpUjab/Oy9awS8Hp7c9/h4xQgh2HOwk6HhDhZn82SXS9imjeHVae9OEAxvXbr73fT3JOnpiDM6maGrLYphaEgpKZTqVGtNXjq1Z9sSzF0ejlPt3XhVnX+8fokb+SweVSXtD9KiR6l6m8w2MlSaDRxHkNJjnGjt5o/2HSLqfTTXlIvLVjJVyfCLufPM1LKoQmE40smrbYcIaq4I6uLi4rIelWaTvzp7lsuLi7QEg6QDAZq2zXSxyF+fOwfA0badCWFq8/UR1KOUrBwRfe1upopdxKsG6PANbPPodjcfzE/zu+kJWoJBwsbHtgERj0rE42W6VOAfRy7TE47SEnA7CFxcXLYeV/x02ZUM7GllaH8bVy5M094Zw+v72KvQcSQLs3n8AQ8nnhl8JLu/M4sFTl+eIhFdHabT2RJlbrnI707f5NBQO37v/T0Ui7U6p8dniPp92JbDUqFM0OfB0Fd2jMOGQaZWo6HYBNF559I4RwfbH7q9fqcQQtDSEduyQKP7Yegaf/DFI/zw5+eYmMlhOw5SQsBv8NyJQZ4+2rst43D5dBxraaM/GuPi0gLvzk0xWczTsG2QGgmS+L0ax1KdnGrrZjCWcBO7XR4LCs0q3598l/lanpQ3jOXY/H7pGk3H4jvdJx8rTzMXFxeX7eTs/DxXl5YYiMcxbrW5+xSFvliM0VyOX928ycGWlh1ZD3hVP3uCxzmTf5OSmSeoRe7cz6WU1OwyZSvPgchJwnp828e3W7Edh3dnp1AVsUr4vJuOYJir2WXOLs7xpb6hbR6hi8tO45p+bgeu+OmyKzEMjde/eRyB4Pq1ORzbwfBo2LaDadrE40Fe/cohBva0PpLjj04vU2s0aUvdm2KeigWZms8xPpPlwMD9jz+RyZOt1OhLxphZKmBaDiHfx8KmEAKvprFQqdDT0s5CtsRspkh3y+5Jst6tpBIh/uI7p7g5ucRypoyqKfR1JmhJhV1x4TEi4vHybGcPT7d3MVnMUzVNTMfBq2mk/H6Svs3bVbi47AZGSnPM1/L0BVMoYuUBXVUUrhRnWG6USHnvnVtcXFxcXODC/DyGqt4RPu+mNRhkqlhkqlCgL7Yz6+Q94WNY0uRa6TQLjUl04UEIaDoNDMXL/vBTHIo8syNj260s16pMl4okfevbUQkhCOgGl5YXXPHTxcXlkeCKny6PDMdxyC6VsC2HSDywqnpzM4TCPr79JycZH13k2uVZspkyHkOjbzDNnv3thKOPzs/RshxArCmgqYpAOhJzk2E61q2KRFVRsJ0Vo/RPvq4iBLaUKLeCejb72i6g6yr7BlrB7S567NEUhf6oWynh8vhTt5uAvCN8AngVnUKzSs1u7tzAXFxcXHY5VdNcN9jIUFUsx6Fp79w6WREqw5GTdPqHmK5eJ9OcQ0pJ1EjR5R8ibuycJ+luxXIcHOnct1pXU8RK94+Li4vLI8AVP10eGiklluWgaco9k/yNSzN88NtrzE5msG2HcMTPoRP9PPXCHoxN+DDatsPEtTnGR+awmjadXQle/sIwvsDarRJbTSzsR7CSOq+pqyfqar2Jx9A2HaYT9nowNIVq08RrrJy748hVoUZN2ybi9VKrNfF7daLB7fU0zBQqjEwtUWuYJMJ+9nan8bp+mS4uLi4PRasviq5olMwaId2HlJKlRpGEJ0Tarfp02eXUKw1uXJgiO5+nXm2i6Sr+kJe+Ax2kuxKusOPySOmMRLiRyaz5s0K9TtAwSPh3NtBSCEHUSBI11vb9dFlNyPDg03TKzSa+DQIrK6bJ/oTr9+nyOcTtet8WXPHT5YGRUnLpyizvfzRKrlCjvTXCqacG6O1eWQBcPTfJG3/3Po1ak3g6jKoplPJVfvXDM+SWinzleydQN/CztEybX/7gA86+PYLZsBC3RMLuoVa+/ufPEUuFHvk57ulN05oMMz2fo7s9jnJroW9ZNnNLRQ4OttGZjm7qtXqTMXoSMW4uZeiKRgh4Dcq1BuHASuiF5ThYjkNbIMhyocLTwz0kItvX5nvu+gw/fvsyuVINIUAg6GmL892Xj5CKuQsQFxcXlwelP9jCE4l+PsjcZLFexEES1n280noQr/pgXRAuLttFbrHIpfducPGd62Tm8ysbtaqCdCRSSvxBL70HOjh4aoihI90orgezyyPgeFsb709NsVgukw5+vA5tWBZLlQov9PWR3GHx0+XBCHs8HEu38YuJmyR9/jU3UOqWhQCOpdu3f4AuLi6fC1zx0+WBuXxtjv/5xhkcxyHg93D56hwTo0ucGGpBsR1+8+NzVCtNBo/24AutCHxen0EgVOfi6XH2H+thYP/6E9vVM+N89LtrxNPhO0nhlmkxfnWW371xlm/86+cf+TkGfAbfeOkQ//gv5xidWsbQNRzHwXYk/Z0JvvLcgVWVmxuhKgpfGB5k8Z0y0/kiXS1RRmcyZIsVVF2lbltEdC/VQoOBtgQvHxt8xGf3Mcv5Mj9++zKNpsVARwJFCEzLZmw2wxvvXOYvvvKUW+Hh4uLi8oCoQuHrHU+wJ9TGZGUZXdHYG26nK5DY6aG5uKzJ9I153vivv2N+IkMo6qNjoAVN/3ijWkpJpVDj2ulxrp+b5KlXh3nhm0+iG+6jhMvWMhCP8/qePfzk+nWuLS/j13Wato0tJQdbWnh9z56dHqLLQ3Cqo5sLywuMFnL0hKOrWuBrlsl4Ic/RdBsHkqkdHKWLyw4hAbmN5Zhu5aeLy+Y4fXYc23bo7oxj1poURma5eGacKa9OyOdhamwJj1envJgj0Zmg60AXvpAPf9DL4lyBm1dmNxQ/r5weRxHcET4BNF0j2Rrl5qUZ8ssloslHX/3Z15ngL//wJJdvzjMxl0VVFAa7kuzrbyXwgP6le1tT/PHJI/z84giT2QLhmJ9MoUyjaRHVPQxF4zw51MmpQ30kt7Hq89rkErlSjcGOj9vYdE2lLR5idDbDXKZIezKybeP5PJNZKHDt3CQTI/OYTYtwNMDQ4S4Ghjse2C/XxcVl59EUleFoF8PRrp0eiovLhsyOLvLD//PX5JfL9O5rQ1HvregUQhCM+glG/ZRyFd75yTmkI3n5u0+jrvH7Li4PixCCl/v76YnFODs3x3SxiF/XOdzSwqHWVvy6a8v0ONIZivBnB47y91cvcDOfRRUCXVVpWBaqUDiabuNP9h/Go7ryhIuLy6PBvbt8BqmW65x9e4SzvxthbmwRXVfp3dPKk68cYOBwD55PIaRIKcnmKvh9Os1Kg5E3L5GbXEYRgkA6TEsiTCZbJRz306w0mb02SylTYt8z+whEA2i6SrXc2PAYxXwFY40xerw65UKVem37wiJiYT/PHuvn2WP9n/q19relGUwnGF3Kkq3UUIUgpBuEvV5Cfs+dNvjtpNYwEWsEO3k9OkuFCtW6ue1j+rxhWzZv//wCH/7mKqV8Fa/fQFUVZkYXufThKOnOOF/8zgl69rTu9FBdXFxcXD6BZVpkFwoAxFsiaPrjtbSuVxr89K/fIrdYonvv5oJaQrEACMH7v7xIqjPOkef2bsNIXT5PCCEYiMcZiLshiJ8l9sST/D+ffIaLywtczSxRNU3iPh+HU23siSXWDbpycXFx2QoerxWay4Y4jsM7v7jE//j//YqZ0UWk7WB4dDRNYfTqPOfeHuHJF/bxtX/7MqH4w3k5CiHo6Urw4UfjLN0cJTexTKAlTLnSJBoJ4PHqqLqKbTp4g14Mv0FhqcDIeyMcfOkgZsMkfh/PzrbuJHMT9xqdlwpVAmEf4djDV0Y2ak1GL66Y+Ht8Bn3DnSTaYg/9eg+Krqq0GT6iTUE0Ff5UQvRWEA/7EeLeYKdipU7AZ5AIu55KjxIpJb974xxv/ew84WiAvn1tqx48LdNibjLDP//X3/PNv3yBzoH0Do7WxcXFxeU2juNw/rdXOf3ri2Rn8wAk2mMcf3mYwy/se2z8MG9cmGJubJGOgZYHsrkJRf0Us2XO/u4qB08Obujl7uLi4nKbkOHhVHs3p9q7d3ooLi4unzNc8fMzguM4/Piv3+EH/+dvKCwVEQpoho4DeAMedF2lVLE4/duraLrKt/7Tlx+6TenpJ/q5fHqMi5dnMcLeFeEz6iedCmMYKpFYgMxikUg8gKIoRJIRiktFxi5MEeuIs/fwxi2Awyf6uXpmnLnJDOn2KIqqUMxVKBdqvPD1Y/iDD1chmZnP8+P/69dMjcwhHYnjSMKJIC9+6wTHXjrwUK/5INTKdX7zD+9x9f0bNGomkUSIp750mOOvHNwxX819PWm6WqKMz2VpS4bxGhqFcp1sscqLxwaIueLnI2VuYpkPf3OVaDxIZI10S03X6OxPM3l9gd++cZY/+t9fe2weqF1cXFw+q0gp+d3//IDf/88P0XSNaDoMwNJ0lh//37+mmCvz/Dd3v2e24zhcfOc6qqau8vfcLInWKHNjS0xem6NvuPMRjNDFxcXFxcXFZWtwn6I/I0yMzPPmP5+hXmmgaQrBsB+vV0cRglKhhqIILMumUjU5//urjF2aeuhjtbdF2ZsMkk4E6OxKsmewleF9HaiKoJStEE8G8HhU8sslysUatVqTaqXB8tQSz3zhIOn26Iav3zPUyhe/9zTBsJfp0SUmRuZp1E1OvHKAk68dfKgxSyn5l799m/HLM7T1pek50EHvcAe2ZfOrv3+H2ZsLD/W6D3L8X/7N73nvjbOoqkq8JUIpX+bn/+13XHpn5JEeeyP8XoPvvHKUvT1pcqUaE/M5LNvh+aMDvPq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",
       "text/plain": [
-       "<Figure size 1800x800 with 2 Axes>"
+       "<Figure size 1800x600 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -7277,8 +8687,8 @@
     "import numpy as np\n",
     "\n",
     "# Create a scatter plot\n",
-    "scatterplot_matplotlib(merged)\n",
-    "#plt.savefig(\"scatter_plot.png\")"
+    "fig = scatterplot_matplotlib(merged)\n",
+    "fig.savefig(\"scatterplot_all.png\")"
    ]
   }
  ],
diff --git a/analysis/Python_scripts/scatterplot_Benzenoids.png b/analysis/Python_scripts/scatterplot_Benzenoids.png
index 3857989..0b3b17b 100644
Binary files a/analysis/Python_scripts/scatterplot_Benzenoids.png and b/analysis/Python_scripts/scatterplot_Benzenoids.png differ
diff --git a/analysis/Python_scripts/scatterplot_Lipids and lipid-like molecules.png b/analysis/Python_scripts/scatterplot_Lipids and lipid-like molecules.png
index bf85732..923a7b8 100644
Binary files a/analysis/Python_scripts/scatterplot_Lipids and lipid-like molecules.png and b/analysis/Python_scripts/scatterplot_Lipids and lipid-like molecules.png differ
diff --git a/analysis/Python_scripts/scatterplot_Organic acids and derivatives.png b/analysis/Python_scripts/scatterplot_Organic acids and derivatives.png
index 58715e5..8bf2cb4 100644
Binary files a/analysis/Python_scripts/scatterplot_Organic acids and derivatives.png and b/analysis/Python_scripts/scatterplot_Organic acids and derivatives.png differ
diff --git a/analysis/Python_scripts/scatterplot_Organohalogen compounds.png b/analysis/Python_scripts/scatterplot_Organohalogen compounds.png
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