diff --git a/.github/workflows/pytest.yaml b/.github/workflows/pytest.yaml
index fc277b095..77d793181 100644
--- a/.github/workflows/pytest.yaml
+++ b/.github/workflows/pytest.yaml
@@ -14,21 +14,21 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12", "3.13"]
         env: [
           '-r requirements.txt .[test]',
           '-r requirements-min.txt .[test]',
           '--upgrade --upgrade-strategy=eager .[test]'
         ]
         exclude:
-          - python-version: "3.9"
-            env: "-r requirements.txt .[test]"
           - python-version: "3.10"
             env: '-r requirements-min.txt .[test]'
           - python-version: "3.11"
             env: '-r requirements-min.txt .[test]'
           - python-version: "3.12"
             env: '-r requirements-min.txt .[test]'
+          - python-version: "3.13"
+            env: '-r requirements-min.txt .[test]'
       fail-fast: false
 
     steps:
diff --git a/docs/TrendAnalysis_example.ipynb b/docs/TrendAnalysis_example.ipynb
index 45744e996..fcdd2bc43 100644
--- a/docs/TrendAnalysis_example.ipynb
+++ b/docs/TrendAnalysis_example.ipynb
@@ -22,7 +22,14 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:04:22.284754Z",
+     "iopub.status.busy": "2026-02-11T21:04:22.283768Z",
+     "iopub.status.idle": "2026-02-11T21:04:25.589287Z",
+     "shell.execute_reply": "2026-02-11T21:04:25.589287Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -36,7 +43,14 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:04:25.592292Z",
+     "iopub.status.busy": "2026-02-11T21:04:25.592292Z",
+     "iopub.status.idle": "2026-02-11T21:04:25.603222Z",
+     "shell.execute_reply": "2026-02-11T21:04:25.603222Z"
+    }
+   },
    "outputs": [],
    "source": [
     "#Update the style of plots\n",
@@ -54,7 +68,14 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:04:25.606226Z",
+     "iopub.status.busy": "2026-02-11T21:04:25.605234Z",
+     "iopub.status.idle": "2026-02-11T21:04:25.608284Z",
+     "shell.execute_reply": "2026-02-11T21:04:25.608284Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Set the random seed for numpy to ensure consistent results\n",
@@ -78,7 +99,14 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:04:25.610288Z",
+     "iopub.status.busy": "2026-02-11T21:04:25.610288Z",
+     "iopub.status.idle": "2026-02-11T21:04:25.664306Z",
+     "shell.execute_reply": "2026-02-11T21:04:25.663802Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Import the example data\n",
@@ -99,7 +127,14 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:04:25.667312Z",
+     "iopub.status.busy": "2026-02-11T21:04:25.667312Z",
+     "iopub.status.idle": "2026-02-11T21:04:25.839426Z",
+     "shell.execute_reply": "2026-02-11T21:04:25.839426Z"
+    }
+   },
    "outputs": [],
    "source": [
     "df = df.rename(columns = {\n",
@@ -113,7 +148,7 @@
     "meta = {\"latitude\": 39.7406,\n",
     "        \"longitude\": -105.1774,\n",
     "        \"timezone\": 'Etc/GMT+7',\n",
-    "        \"gamma_pdc\": -0.005,\n",
+    "        \"gamma_pdc\": -0.0034,  # Temperature coefficient for modern silicon PV modules (1/K)\n",
     "        \"azimuth\": 180,\n",
     "        \"tilt\": 40,\n",
     "        \"power_dc_rated\": 1000.0,\n",
@@ -139,7 +174,14 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:04:25.842760Z",
+     "iopub.status.busy": "2026-02-11T21:04:25.841760Z",
+     "iopub.status.idle": "2026-02-11T21:04:47.653193Z",
+     "shell.execute_reply": "2026-02-11T21:04:47.653193Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -181,7 +223,14 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:04:47.683740Z",
+     "iopub.status.busy": "2026-02-11T21:04:47.683740Z",
+     "iopub.status.idle": "2026-02-11T21:05:04.841064Z",
+     "shell.execute_reply": "2026-02-11T21:05:04.840432Z"
+    }
+   },
    "outputs": [],
    "source": [
     "ta = rdtools.TrendAnalysis(df['power'], df['poa'],\n",
@@ -209,14 +258,21 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:05:04.844914Z",
+     "iopub.status.busy": "2026-02-11T21:05:04.844351Z",
+     "iopub.status.idle": "2026-02-11T21:05:59.907315Z",
+     "shell.execute_reply": "2026-02-11T21:05:59.907315Z"
+    }
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\public\\rdtools\\rdtools\\analysis_chains.py:851: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  from rdtools import soiling\n"
      ]
     }
    ],
@@ -234,7 +290,14 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:05:59.912324Z",
+     "iopub.status.busy": "2026-02-11T21:05:59.911334Z",
+     "iopub.status.idle": "2026-02-11T21:05:59.915394Z",
+     "shell.execute_reply": "2026-02-11T21:05:59.915394Z"
+    }
+   },
    "outputs": [],
    "source": [
     "yoy_results = ta.results['sensor']['yoy_degradation']\n",
@@ -244,14 +307,21 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:05:59.919401Z",
+     "iopub.status.busy": "2026-02-11T21:05:59.919401Z",
+     "iopub.status.idle": "2026-02-11T21:05:59.923591Z",
+     "shell.execute_reply": "2026-02-11T21:05:59.923591Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.501\n",
-      "[-0.611 -0.322]\n"
+      "-0.408\n",
+      "[-0.629 -0.299]\n"
      ]
     }
    ],
@@ -264,14 +334,21 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:05:59.925622Z",
+     "iopub.status.busy": "2026-02-11T21:05:59.925622Z",
+     "iopub.status.idle": "2026-02-11T21:05:59.929012Z",
+     "shell.execute_reply": "2026-02-11T21:05:59.929012Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.954\n",
-      "[0.95  0.957]\n"
+      "0.957\n",
+      "[0.955 0.958]\n"
      ]
     }
    ],
@@ -292,7 +369,14 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:05:59.932029Z",
+     "iopub.status.busy": "2026-02-11T21:05:59.932029Z",
+     "iopub.status.idle": "2026-02-11T21:06:00.891966Z",
+     "shell.execute_reply": "2026-02-11T21:06:00.890963Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -316,11 +400,18 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:06:00.894966Z",
+     "iopub.status.busy": "2026-02-11T21:06:00.893965Z",
+     "iopub.status.idle": "2026-02-11T21:06:01.203313Z",
+     "shell.execute_reply": "2026-02-11T21:06:01.203313Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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OO+88lixZwlNPPcVTTz2FWq1mwoQJPPfcc9LCsKamBiCiYpq43WKxhOxLSUkJ+n3Hjh0h95SRkRHiWCUnJ4e9lng+0SaAF198kbvvvpu4uDjGjh1Lx44dMRqNKBQKVqxYQU5OTpDIwL333ku7du1YvHgxL730Ei+88AIKhYKRI0fyzDPPcMEFFwB+5wBg7dq1rF27Nqw9AHV1dUE2NWV7c6mpqZF6njXnXKK9Bw8ebPS5Ee1tymaVSiXVB4Yj0v1YLBYGDRpEXl4egwcPZsaMGcTHx6NWq7FYLLz44otBn0dr5s3tdjNmzBi2bdtGnz59uPbaa0lMTJTmasGCBY0KfDSX5jz7x44dw2KxBDlWLfkeNofGPu9PP/200WPFz1ulUrFu3Toef/xxli1bxoMPPgiAyWTipptuYtGiRdJLl9PFlClT+Oqrr3juued4++23ef311wHIyspi0aJFjB079rTaIyMj0/bIjpWMjMxpQaVScc0117Br1y6eeOIJ1q1bx+TJk6UF2oABA6Q35qfq+nfffTd33303ZWVlbNq0iY8++ohPP/2UPXv2sGfPHnQ6nWRPSUlJ2POIqoDhFA8DVdfAr7wWqAgWidLS0rDbRRvEa3k8HubPn09KSgq//PJLyAJYfKvfkBkzZjBjxgwsFgubN2/m888/5+233+byyy8nNzeXxMRE6Rovvvgic+bMadJmcXxTtjeXmJgYqqqqwgpIhDuXeP2rr76azz77rFnXEKObpaWlnHfeeUH7vF4vlZWVEfs6NfxsRd566y3y8vJ47LHHQiIpW7Zs4cUXXwxrd0vm7YsvvmDbtm3MnDkzRPHy+PHjbaYoF/jsh4tCNvbstyXh5lq85hdffNHsHnhxcXH885//5J///CeHDh3iu+++4/XXX+eVV17BYrFIoiJitLhh5FfEYrFEdB5bysSJE5k4cSL19fVs3bqVr776ildffZUrrriC7du306tXrza5joyMzJlBlluXkZE5rZhMJgApjSk6OprevXuzZ88eqqqqTosNSUlJTJkyhU8++YQxY8Zw+PBhdu/eDfgdPPDLJzfE4/GwceNGAAYOHNhm9mzatCmsLLdog2hTRUUFFouFYcOGhThVdXV1TTqmsbGxTJgwgTfffJOZM2dSVVXF999/D/hT4QDp/prCZDLRpUsXioqKOHz4cETbm8vAgQPx+Xxs2rSpWefq0aOHpBzpdrubdQ1xHsNd48cff4y4sG6MQ4cOAX4lu4aES+kLtCFcJCfcvYrXmDJlSrOuAUhphi2JFjX27B86dIjCwkIyMzPbzMloCS19PhvSpUsXbrnlFr777juio6P54osvpH1xcXEAFBQUhBx36NChoIhxU6hUqmbNeVRUFGPGjOH5559n3rx5uFwuvv7662ZfR0ZG5uxEdqxkZGTalA8//JC1a9eGdRRKSkp48803Abj44oul7ffeey8ul4ubb745bIpddXX1SUWznE4nP/zwQ8h2t9stOXNGoxGAyZMnEx8fz4cffsiPP/4YNP6FF14gLy+PSy+9NKS+6mQ4ePBgSE+pL774gu+++44uXbpIcutJSUkYjUays7ODUtzcbjd/+ctfqKioCDn3+vXrw/YSKisrA3697wsuuIARI0bw2Wef8fbbb4e1c9euXdJxALNmzcLn8/Hggw8Gfd55eXm89NJLzb196Vzgl8UP7MtUVVUVtoZKrVZz1113cfz4cebMmYPdbg8Zc/z48aDeXjNmzABg4cKFQYtll8vFvHnzWmSviChl3tAZ2b59O4sWLQoZn5aWxtixY8nLy+OVV14J2id+5s29xpEjR6QUt4aIaY3Hjh1rxl34ufnmmwF44oknpJo68Dtn9913Hz6fj1tuuaXZ52tLrrrqKjp37sy//vUvVq9eHXbMli1bsNlsgP8ZPHLkSMiY6upqnE4nBoNB2tajRw/MZjNffPFF0PNtt9ubFb0NJCEhgfLy8rDP4/fffx/WeRejl+J3UUZG5txFTgWUkZFpU7Zu3cqLL75ISkoKw4cPl/o95eXlsWrVKux2O1dddRXTpk2Tjrn55pvJzs5m8eLFdO7cmcsvv5yOHTtSVVVFXl4e33//PbNmzeK1115rlU12u53hw4fTpUsXsrKyyMjIwOFwsHbtWvbt28eVV15Jz549AX8E7e2332b69OmMHDmS6dOn07FjR7Kzs1mzZg0pKSlSbURbMW7cOP7617/y9ddf069fP6mPlV6v5+2335ZSlZRKJXPmzOGpp57i/PPP56qrrsLlcrF+/XqqqqoYPXo069evDzr31VdfTXR0NEOHDqVTp04IgsDGjRv56aefyMrK4tJLL5XGfvDBB4wZM4ZbbrmFl156iSFDhhAbG0thYSE7d+5k9+7dbNmyReor9Ne//pUVK1awfPlyBg4cyOWXX47FYpEazH755ZfNnoM//OEPfPzxx3z55Zf06dOHq666CrfbzbJlyxg0aFDYqNgjjzxCTk4Or732GitXrmTMmDF06NCBsrIyDh48yA8//MDChQul9KqRI0cye/Zs3njjDXr37s3UqVPRaDSsXLmSmJgYUlNTw4qINMaMGTN45plnuPvuu1m/fj1du3bl4MGDfPXVV0yZMiVs8+l//etfXHjhhdx9992sWbNG+sw///xzJk2axMqVK4PGT5o0iS5duvD888+za9cuBgwYwLFjx/jqq6+YOHFiWOdp9OjRKJVK5s6dy+7du6WozN/+9reI9zJs2DAeeOAB/vGPf9CnTx+mTZtGVFQUX3/9Nbt372b48OHcf//9LZqftkKj0fDZZ59x+eWXM3HiRIYNG0b//v0xGo0UFBTw008/ceTIEY4fP47RaCQnJ4cpU6YwaNAgevbsSWpqKuXl5XzxxRe43e4gh1Sj0fCXv/yFv//97wwYMICrr74aj8fD2rVrSU1NJTU1tdl2in3dxo0bx8UXX4xOp6Nfv35MmjSJOXPmUFRUxEUXXUSnTp3QarVkZ2ezbt06MjIyuO66607F1MnIyJxOzqgmoYyMzG+OY8eOCa+88oowefJkoVu3boLJZBI0Go2QkpIijB8/Xli6dGlYaXFBEISVK1cKEydOFBITEwWNRiMkJycLgwYNEh5++GFh3759QWMJ09dIpKGUtMvlEp5++mlh3LhxQnp6uqDT6YR27doJQ4YMEV599VXB6XSGnGPbtm3C5MmThXbt2gkajUZIT08Xbr/9dqGoqKjJ6zWXQJnnzZs3C5dccolgMpmE6OhoYezYscK2bdtCjnG73cJzzz0n9OzZU9Dr9UJycrJw4403CkePHg1rx6uvvipMnjxZyMzMFAwGgxAXFyf0799fePrpp8P2w6qtrRUWLlwoDBw4UIiKihL0er3QqVMnYcKECcLrr78u1NXVBY2vqakR7rnnHiE1NVXQ6XRC9+7dhWeffVY4fPhwi+TWBcHfT2rBggVCZmamoNVqhYyMDGHevHmCw+GI+Hn7fD7hP//5jzBmzBghLi5O0Gg0QmpqqnDRRRcJCxcuFI4dOxY03uv1Cs8//7zQvXt3QavVCu3btxfuuOMOwWKxCNHR0UK/fv2CxkeS1Q5kz549wqRJk4TExETBaDQKAwcOFN58800hLy8v4hwcPHhQmDp1qhATEyMYjUZh6NChwldffRXxeseOHROuv/56ITU1VdDr9UKvXr2Ep59+WnC73RHnZunSpVL/MU60PRBp7Jn98MMPhYsuukiIjo4WdDqd0KtXL+GJJ54I6i8m0pi8eFOS7w0R5dYbo7S0VHjwwQeF3r17CwaDQYiKihK6dOkiTJ06VVi6dKkkvV9QUCDMnTtXGDZsmJCcnCxotVqhQ4cOwrhx44TVq1eHnNfn8wmLFi0SzjvvPOn7fv/99wv19fUtkluvq6sTbr/9dqFDhw6CSqUK+vw//vhj4brrrhO6dOkiREVFCSaTSejdu7cwb948oaysrFlzJCMjc3ajEIQwOSIyMjIyMjK/Iw4ePEi3bt247rrr+PDDD8+0OTIyMjIy5yByjZWMjIyMzO+GkpKSkPo/m80mSeBfffXVZ8AqGRkZGZnfAnKNlYyMjIzM74YXXniBDz/8kFGjRtG+fXtKSkr43//+R2FhIePHj2f69Oln2kQZGRkZmXMU2bGSkZGRkfndMHbsWHJyclizZg1VVVWo1Wq6devGnDlzuPvuuyP2q5KRkZGRkWkKucZKRkZGRkZGRkZGRkbmJJFrrGRkZGRkZGRkZGRkZE4S2bGSkZGRkZGRkZGRkZE5SWTHSkZGRkZGRkZGRkZG5iSRHSsZGRkZGRkZGRkZGZmTRHasZGRkZGRkZGRkZGRkThLZsZKRkZGRkZGRkZGRkTlJZMdKRkZGRkZGRkZGRkbmJJEdKxkZGRkZGRkZGRkZmZNEdqxkZGRkZGRkZGRkZGROEvWZNuBsxOfzUVxcjMlkQqFQnGlzZGRkZH43CIKA1WolNTUVpVJ+9yci/7skIyMjc+Zo7r9NsmMVhuLiYtLT08+0GTIyMjK/WwoKCkhLSzvTZpw1yP8uycjIyJx5mvq3SXaswmAymQD/5JnN5tN+/fd+PEqNzUOMUc2NQzud9uvLyJyNyN+L3we1tbWkp6dLf4dl/Jzpf5dkzn4qKiro3Llz0LbDhw/Trl27M2SRjMxvh+b+2yQ7VmEQ0yzMZvMZ+QdseK+OZOdXY9arWb6rkqyMOPqmxZ52O043OwstZOdX/27u90xwLs+x+L3IyojDbDaf0/ci0zRyulswZ/rfJZmzH6fTGbLNZDLJz4uMTBvS1L9NcgL7WUjftFhmXZRJrcODxeYmO7+62cfuLLSw5Ic8dhZaTp2Bp4iVOcVs2F/GypziM23Kb5bs/OoWP1NnC33TYsnKiCM7v1pyqvaXWFm8/tA5+bzLyMjIyMjI/LaQHatTyMk6OVkZccQaNWRlxDX7eovXH2J/ifWcXDj7OXveUp/LTmokWvpMnU3sLLSwaPU+VuYUszKnmKyMOPIr6ymzOmVnXEZGRkZGRuaMI6cCnkJW5hRzoLSOYou9ValKfdNiW3Rcdn41sUYtFpuLrIy4cypVSnReuiVHM6lf6pk15gRidGdlTvE5M49N0dJn6mwiO7+aqno3JTV23F4fk/ql0qdDDAdKrWfaNBkZGZkzTkxMDOvXrw/ZJiMjc/qQI1anHIFyq7NFkY/WRkqyMuLonmLijtFd6JsWe9akfTXnfrLzqzFq1aTGGs7own95dgG3L/2Z5dkFUkRk7d5SthyuOOPz2FrE+X9h7X7p3s5FsjLi8Ph8OL0+au3+57pHigmDRkWPFFnoQObk2bBhAwqFIuzPjz/+GDR28+bNDB8+HKPRSEpKCnPmzKGuri7knE6nkwcffJDU1FQMBgNDhgxh7dq1p+uWZH5HaLVaRo0aFfSj1WrPtFkyMr8r5IjVKWRSv1Sy86spttglB6cxp0GMMOUUWKi2uVoc6RLHig6AWI9yptO+IkXuAiNqZ4uta/eWUlBt582NefxjWl92FdVw3GLH6vBw55iuTR5/uqOETV1PTA+NNWrZUWBBpVTw5sY8uiabzrnIVd+0WJJMOiw2F1aHB7NeTW6JFbvbS27J2R21OpeixzIwZ84cBg0aFLStS5cu0v/v2LGDSy65hJ49e/L8889TWFjIs88+y8GDB/n666+Djps5cybLli3j7rvvpmvXrrzzzjtMmDCB9evXM3z48NNyPzIyMjIypwfZsTqFiGlXgYuqxliZU8z3B8oprLIRpVcTZ2z5myaxoH/rkUruGN2FWRdlttb8NuNAqZXdRbWAAPy6yFyZU0R+pZ0+Hcy8e/OQs2LBObZXMs+u2Y/XJ/D2pjxsLg8KhQKtWtEs+wKjhKf6fgKdJiDs9cT00D3FNbi9PmrsHs7vEHPOpTeKz8yQzHiqbW46xhuodXhO7G2burxT6fycbFqwzOllxIgRTJs2LeL+efPmERcXx4YNGyTFtU6dOnHbbbexZs0aLrvsMgC2bdvGRx99xDPPPMN9990HwIwZM+jTpw8PPPAAmzdvPvU3IyMjIyNz2pBTAU8xLV2sVdS5EBTg9UGiSdfi62VlxGGxuYg1as+a1DWXx0e0To3L4wN+dT4OltVR7/RINTJng1jE1Kx0OiVEoVQo2FFgYVS3RJJj9HRLNjVp185CC8UWOzaX57RE3rLzq/EJsKPAglkf/h2JmB4KUO/0OyIZCVEAZ0WaaHMQHcgthyvJLbFy24hMLuzcjqyMOCb1S2VU98STrss7PcIvwik676nlbPhengmsVisejydke21tLWvXruXGG28MkrGeMWMG0dHRfPLJJ9K2ZcuWoVKpmD17trRNr9dzyy23sGXLFgoKzs20XBkZGRmZ8MgRq1OE6FAVW+wYtepmRTB6pJhIjdVTVe8iPkrbqrqRvmmx3DG6y1mRVifSKcHI7qIavIKP5dkFHCip5X+55WhVSrw+H+1j9NLC1icgRdta+2Z/eXYBa/eWMrZXMlOz0lt07M5CC06Pl+p6F9F6NUcrbVzWK7lZn6FYJxZr1JyWqERWRhxbj1TSPz02IHoTTN+0WNbtK+VoZT0ut48Yo4YDpVZcHh/JZj2X9DzzEc2mEKNuGw6U4fNBkcXOwqvPl+a4Lea6ofBLWyOmBZ8t38mWcDqjsGcLs2bNoq6uDpVKxYgRI3jmmWe44IILANi1axcej0f6XUSr1dK/f3+2b98ubdu+fTvdunUL6SM0ePBgwJ9SmJ7esr9RMr9NOj206rRc5+hTE0/LdWRkfq/IjtUpQlyMAM2Wt651eOidGsOOAgvtYwys3VvaolqYnYWWEyleVRyvcdAt2cRfL+t+xhdDRytteHwCVXUu3tyYR43dhdPtRUBgUKc4uiWbWJlTTJnVQVW9m6HnJZzUIm7t3lKqbW7W7i1tsWOVnV9Njd2DVq3E7vbh9PgotzpxuG2M7ZXc6LFmvZqtRyqbHNdWNNeJ/mZPKSqFAp8ABo2KXYU1tI81EGPwnvFnoyHiMwx+Z6RvWixmvRqLzUWUVk1VvYvqepeUymjWq6l1eEIiwi2NFIvz19I0wOY48YH3FPg5nQt1V2IUVnTGzXp1i79T5xJarZapU6cyYcIE2rVrx969e3n22WcZMWIEmzdvZsCAARw/fhyA9u3bhxzfvn17Nm7cKP1+/PjxiOMAiosjtwlwOp1BDV9ra2tbfV8yvw8EwYfPHlxvqjSYUCjk5CQZmdOF7FidIgIX2c1diNTYXKzLLSNap2JHgYX+6TEtcjCy86s5UFpHbkkdPp/A7qLas+Itc7JZT7ROjdPjpWO8gcPlPmxOLya9hm7JJib1S2VlTjEmvZaO8VF0TzGd1Jv9sb2SpcVuSxFT6pQKMBs0mPRqSmsdZCRERYwKidQ6PHRPMTc5ri0RP9u3N+VxuLyOzonR3Dw8M+gzH5Aew8pqG0kmLXa3j/axerw+oVnzc7oX/+IzbHW4KKiyccfoLtK86jUqSmsdJJv1HCi1si63DIC0OGNI7VJLoyyB9ZBLfshr9v02x4lfmVPMutwy1EoFu4tq6NMhRopgnc2RoMAavqOVNhBgWXbhb9qxGjZsGMOGDZN+v/LKK5k2bRp9+/Zl7ty5fPPNN9jtdgB0utBUbb1eL+0HsNvtEceJ+yOxaNEiFixY0Op7kfn94bNbKXz5hqBtaXe9j8ooS67LyJwu5NcYp4jWLLK35lWhVPhrX/qnx6JUKFrUHLjYYifOqCE9To9KAQatMmLtzenk5uGZTB7QgTE9kslIiOKOUZ3pmGBEoVCQnV/FotX7OFBqpVuy3ykQBTdaW9cxNSud1/7oT9Npqbx4rcNDWpyRdiY9XZKiqap3cazKxp7imiY/i6yMOGwuD8UWe0S727JeRTzXypxidhXVUFhtZ1dRTVCN0M5CC0crbXSINeAD4owazHoN/5jWt1kL5NMt2Z+VEUe35Gh0ahU+ARavP0SNzcX+klpGdG3H3Ak96ZceS1W9i3qnh3KrA6vDHfY8rWmE3NL7HdsrmTijplEn1R/x9FJR5yK3xMonPxfy3Jr9p7UeryWILQfe3pQnpUd2SjCiVilINuvPtHmnnS5dunDVVVexfv16vF4vBoMBICiaJOJwOKT9AAaDIeI4cX8k5s6dS01NjfQj12PJyMjInP20atUdKb1B5leyMuJYmVNMfmU9C1ftldKaGiPZrKfM6qR7ioGMBGOLrifW9/RLN5Bo0rEut4wYg+a0Rk8a48cjlVTb3FxwQnDA6vDg8fo4WmHDpNegVikY1T0J8DtULalNC8fy7AIe+WI3bq/AwbK6Zr9lz8qIkxzURJOOH49UolYqiNapm7Sjb1rsCfU3KytzikPGN0fFrykCI0iB6abnd4iRIlaBC/W3N+Wxt7gWnUZJslmPy+PjeI2DdftKmxWJOhMy+KmxBqK0Kr7ZU0rHeAO5JVbpJYV4z50To7E6POjUStxevyjKzkLLSUd+Wnq/U7PSm/1sebxebC4fKDihkgndzkLZezEKZ3PZ6RBrYGyvZLomm6R5ORdSGNua9PR0XC4X9fX10r99YkpgIMePHyc19Vchlfbt21NUVBR2HBA0tiE6nS5stEtGRkZG5uylVY5Veno6Y8aM4Y9//CNTpkwhKiqqre065xEX2buKaogxaJrV+Pbm4Zkhi+bmOhbiMWa9mjVFNaiVCnRq5VnxNjw7v5pqm5sam4uteZVSOleN3c2A9BiOVtrQqpUUW+xSD684o5Z+6YZW2792bylujw+vABabi4Wr9gJ+gZDAmhyxRqZHiokYo1ZSmnt7U54/bSvVTLXNTY8Uk3SOSE7yzkILu4tqcJ5QP4w0D78cs5Bibt2CKVBOX4ySdIw3kBprCEkBBDhcXodPEFApFcwc1ok3N+bh9vh4dcNhtGol0Xo1913WPaJzIKbInQrCLdDF535bXhUWm5NjlfUM79oOm8uDzeWRBF0u6ZkpSZi7PF6sDg+L1x+SRE9EB1dMEWyuM9Da+23s/IkmHXqNCrfXh8cHapUSvUZJYbWdOKP2rHNUxFTa9jF6MhKiyC2xBn1nlvyQd1anMJ4Kjhw5gl6vJzo6mj59+qBWq/n555+55pprpDEul4sdO3YEbevfvz/r16+ntrY2SMBi69at0n4ZGRkZmd8OrUoFfPzxxykuLuamm24iOTmZG2+8kW+++QafL/yC8vdMjEHTbAenb1pskIPUklQm8di1e0sx6TVktoti7oSeZ8XCJysjjgsy4ojWq/H6BKrqXSgVficnWq9h7oSedEs2caC0TkppA5h1Uaij0Fx6pJgwalXoNSoyEowcKK3jQKmVZdmFbNhfxtub8ljyQx7LsguptrlZsaOYDfvLJFGEXUU1FFvsVNvc3DG6C7knZLgPlEaW487OryYjIYokky6s/HdWRhw1djeJJl2rG9qKdXjVNhcbD1awZk8J72w+ypbDlSxavY+Fq/YGpRl2TowmyaynfYyetXv9EaAahxsBqHd5qXN4WLu3tFW2nCyik7h4/SHJZjGdss7pwWL39xA7VmUnNdaA9YSt4gK/R4oJg0bJkMx48ivrKbM6JZEIP4qgazWV4teaNM2dhRYWrtrLw5/vYmVOcYPr+5nUL5W0OANen4BGpcCoVRKt+/Wd1ulOt2wKMZX25uGZ2FwedhfVBMnQtzbN8lygvLw8ZFtOTg5ffvkll112GUqlkpiYGC699FLee+89rNZfv8dLly6lrq6O6dOnS9umTZuG1+vljTfekLY5nU6WLFnCkCFDZEVAGRkZmd8YrYpYzZs3j3nz5rF9+3bef/99PvroIz744AOSkpL4wx/+wA033BAiRft7ZFK/VFJjf426NKcoPjC9q6XNfVfmFJNXUU+tw82QzIQW23uq3pz3TYvlhesGsHDVXr4/UI7zhNR3tc3Nsap6Cqps6DUqQMCoVREfpW1VD69AYoxa+neMBwS6Jf8qW3+g1MqhMn8U53iNg0Nl/oWRXqPCeiJtMisjjo+25XPc4qR7inBiXuuoqHORGmtotGdUscWOKcL+vmmx3DYik2XZhdjd3maniMKvn83WvCoSTTpKap2U1jqxOtw43D7yK+sRBP/z8/FPx7j5okzuHtudm4f7Iztr95bi9Ah4fQLDOrdjZ5EFlUJBfJT2tKkYNkSUixd7ronzsLuohlq7G5UCVEq/+Ea4sWIdY70rNN21obx5Uyl+y7MLeHNjHjEGdYvk/lfmFLN613EsdnfEht5902IxaFRE6zSU1znRC1BmdZJk0nG4vA7wR7Uu6ZnUjFk79YjPmlmvZveJFwzHaxwM6vTbc6Qacu2112IwGBg2bBhJSUns3buXN954A6PRyFNPPSWNW7hwIcOGDWPkyJHMnj2bwsJCnnvuOS677DLGjRsnjRsyZAjTp09n7ty5lJWV0aVLF959912OHj3Kv//97zNxizIyMjIyp5CTEq8YMGAAzz77LAUFBaxdu5aJEydKb+J69erFk08+ybFjx9rK1nMKcXFSY3OxeP0h3t6UF/J2PhzNEUBoDI9PQKVUUm1ztfgN+Kl+c94jxYRCoaBbcjQALo+XMquT3UU1VNtcjOqexMxhnU5Er6z84Y0tLRKeCEQUQQB/fZfYhFhc/Hp9cLDUikalBBR4fT4OlFqpc7jpmxaLQqEkLkrLsSp/9MzjA4NWTXyUttGeUamxBqk2rCE7Cy3UOvxS7jsKLHyxoyhshCMcYjSkzOr0Kxbq1f6aKa8Pj9eHzeXF7vbi9go43D6+2VMaZFO3ZBNen8C43slkJBiZ1DeVV2/MYuVdI+iabDojDWBFuXhRBfKFtfu59d2fOVBqpbTWiUKhoEuSiW4p5qCxZr2aJT/kSVFdAJNeg83llVIF+6bFBkU8A6PB4e5zWXYhFpuLXUU1/JJfzcOf72r2fCgUoFX6n6FyqzPscWN7JWM2qIkzanB7BXRqJeVWJy6Pj2qbq1mpwqeKnYUW7v5ou/R9EyOJL687xO6iGoosDgRBkJ77tzfl8dbGIy2ao3OFyZMnU1FRwfPPP88dd9zBxx9/zJQpU/j555/p2bOnNG7gwIF8++23GAwG7rnnHt544w1uueUWli1bFnLO//znP9x9990sXbqUOXPm4Ha7+eqrr7j44otP563JyMjIyJwG2kQyTqFQMGLECCwWC0VFRaxZs4aDBw8yf/58Hn30Ua6++mpeeuml35XghVj/kV9ZT7JZj1LhJsagCXk735C+abGtkmHeWWih3OrEqFWRFudfSItv55sbiTqVQgU7Cy0syy5EEASsDg8ZCVFkJERRXOMAAVwenxShW7hq74nifoGX1h0it8Ta7MhOQ3YX1VDn8KBRK7E63OjU/oiYRqXEpFfj8vjQqpXsKqzBoFGxvaAGgHG9k/lmTynjeiczpmcyB0qt7D6RptiY0mJWRhxvb8pjXW4dOQWWoLon8XM9WmnD7fm1R1ZzKbP65yrJpCMjIQqLzcUlPZJZv78ch8uDAtBpFeg1asb1/jUKJX6el/dOptbh4WilhWqbm+fW7MegEdMloyI+b6cikhl4TvFzn/PhduqdflGTmBMOcGAarVj/JNb4gD+quzy7gI0HK+gYb6DW4WFnoYW3N+VRWutgWlaaVD/W2PdKFI5xe324fQLV9a5mN/X+8UglVocHq8PD9mPVPPx5HdE6ddC1AawOD2qlAhCwuwViDX5HPfC7eiZYmVPM+twyfIIAwJDMeP67pwSn24vD40OhgDqnh5wCf9rj4fI6bC4vCoLn6GyrFWsNc+bMYc6cOc0aO3z4cH744Ycmx+n1ep555hmeeeaZkzVPRkZGRuYs56Qdq/Xr1/P++++zfPlyamtrOf/883n22We54YYbUKvVLFmyhCeffJI//vGPfPvtt21h8zmEQEaCEYNGJaVbLcsuxOH2Nqpg1hoHRxRGiI/SMqp7UlAaYXMctVO9KMrOr8bp8eHxCVIfn5U5xejVCsqtLkz6aEkcotzqpF20hsJqO06Pj+8PlEtv9Jtrp9gPSRSSEASBQ6V1xEVp6dQuSvpMRLWz1Bg96w+U4/b6WJ5dwN1ju3P32O7S3JTWOtGolDjc3oiNm0XbDpfXcbSinmNVNhJNOmmc+Lle3T+Vz3cUo1crm53yOKlfqiSMkWzWc7zG37S1fYye/ukxHCi14vUJpMUZmdQvNejzb+iQlNY6cHq8HCqtw6hTk2jS0S89NuLz1lAIoi0Qz7lhfxkGjYoeKSZUSgVqlYLuKWayMuKl+254zcA6RFFBsn96LBabS9q3q6iGeqeHNzfm0fVEKmhOgUVythoipkweKLVSWG3HqFU12apAfFlQbXPj8vgjhyW1DuxuL+UKhXTtvmmxrN1bisPtpdbhIVqnRqkQcHn9Tr1Ic5oNN4fWfJd1GiXOEy8ZVuwoxu7y4PYKaJQK1Gp/VHfz4Qq0KiWdk/yRYJvLS06BRfpbdrb35ZKRkZGRkTnVtMqxysnJ4f333+fDDz+kuLiYlJQUbr31VmbMmMH5558fNPa+++5Dr9dz3333tYnB5wqBNR7iIuPuj7ZzoLSOYoudxeu9IXUcgQsicYEIzZPlFut7xP8PPJ+4QGzMUTvVi6JA+8TFcnZ+NR6fP5Vq8+FK8ittpMTo6ZZsol96Bu/9mE9ZrYNah1uyvbl2ZmXEkVNgIdmsx6hVAXCkvJ6CajteQWDqwHRyS/xiFk6Pj6yMOPqnxVJQbQ9aEIvX7BhvxO72nkg/Cx91DKyPUyr8qoyBiONX5hQzID2WxAgiF+HomxbL3Ak9pdTBHQX+tMKqeisDO8YyJDOBfcdrqap3BTkEgc+AOP/TstJYu7eUyjo3dU4PnROjI9bz7Sy0SFL5kWqIWo+C/Mp6onRqfjlmIbNdFBqVkou7JhJj1GLWq8N+B0RH8e6PtvPT0SoA4qO0dE70L/jFz35HgYWO8QbpHMeqbNTY3WGFQw6WWlm7txSdWnmizq9pgRHxZYHT7cXr9eET/CmBdpcXrVpFx3iDJIbSI8VEjd2N0+Olxu5XODTrNZJQS3Z+NVtPzHNjzYabQ0u/y+IzWG51cri8jso6J26vv96xUzu/4mtprZN6lwetUSXVLH69u4SfT8x/oknHgVIrLo8vrOMqIyMjIyPze6BVjtWAAQMwGAxMnjyZGTNmMHbsWJTKyOVavXv35sILL2y1keci4uJPVBrLyoijtNaBRqXA6vCEXZw3rHFqyeJIvN7y7AIWrd5HsllPokmHUev/iJsSwjgT/YrEBfC63FJUCqh1uOnZ3hy0bxf+Hk0Noz5N2Xmw1EpuiZXOiVFc2LkdNTYX+44fQqWAGpubHQXV5FfaEAQBtcr/7MYZNWw6VEGnBKP0GYhOSUaCUXLQTHp12OuLvcs6J0bTOTE6rOMkRtJAoF9686W9RQcJ/CllKqUClQK0WhVV9S7A71yY9JqgiJr4TG09Ukn3FDOxRg1dk03klljRa1QkmnREaVXcvvTnsJGSlTnFVNW7UCgUJy0oEoj44qHGFsM3e0pJNGnJq6gns52Rb/aUShGo7inmoM8iKyOOgyfUHcWFvCCAw+1Do1KSnV/NrIsyeeG6AewstLAyp5hii50eKSZ0aiVqpYLdRTUhEeNl2YVU1jlRKhV0jDcCQtj5D3xRIr4s0KmVHC6vx+7y4PUJdGwXdeKZiWJ3UQ35lTaUil8dWnCiVoLD46NTgpFuyf66Mb1GhVLhPmkxkZZ+l/umxbJuXykf7SvF4fbhEwS0aiWd2kWx8OrzWZlTzPcHyvH6fMQZNfRI8T8/Lo8Xp8fH4fI6qm1uCqvtpMX5+441R6hHRkZGRkbmt0arHKu3336badOmER0d3azxo0ePZvTo0a251DmPuLBdmVNMslkP+GsYxJ5JgTRcELXG0Vm7t5Rii4Myq5MxPZKaLYscGJ0J/L2tyM6v5vsDFVTUOSm3OnnhugGSWuCUxZvILanDrFfjcHvJr7SxeP0heqSYcLi9jOjaLsjO5ti2dm8pKqWC/aV1ZCREnUgv1FFudRKtU59Y7CqotrvpmxZDudXJxoMV+ASorP81pUyMQKXGGpp0iERHxqj1iyo0dGZ3FlqCmg+35LP1Rz6qqLH7F+/dkqMZ0yOJcquTrXmVAPRsbz6R5ueTGhSLzp5eo8Lm8nBJzySy86uxOjw43H6xh5fXHcLh9lJjd4eNlIg9x3YX1bA8u+CkoikigZ/jmJ7JPPz5LsAfVeoYH8WOAgsD0mNYl+sX4cgpsEh1YGv2lLC7qAa3TyDOqMGoVUt928T0QHFRL36GtQ4P07LSeHNjHiZ9aOPpZLOeQ2V1qFUKLumRFPL9DBcFCnyZ8c7mo9hcatRKqHd66NvBTEGVDZ/gjy72T49h7d5SYo1aauxudGp/nZzD7WV3UY3U0DsrI+6k5zfcd6Sp9MBv9pRKqboalYKEKC1Dz0sIUmosszo5WFbHk6v30adDDMlmPRqVko7xRhJNOum5hpa9FJKRkZGRkfmt0CrHaubMmW1sxm8XcWG7u6iGjIQoLuudEjF61HBB1JpFydheydTY3SSb9S0WfDiV6YBZGXG8s/koGpWC0lpH0D6dWkVitA6nR8AnwKZD5SgVCnYV1dAlycTGgxVSWlZz70lscmp3ezlQWkdhtU1Kb3J5BdrHarC5fHRLjj4hW+7B4fEiCALtonXSW/z/BghYbNhfRn6ljRqbK+J1zXo1a/aUkGzWh0RFREGTbsnRUsQGgj/nxupsyqwuLPUujFq/NLx4jmNVNkprHVLj5eoTzqB47kBnD6DYYie/sh6TXsPL6w5RY3fjE5Ac/0DElgFr9pTgEzjpNDWRwBTFjQcryK+sR6NSkmw2EGf092Grtrmotrmpd3qwubw43F7G9kom2axn7/FazFoVV/RNler1AHJLrJIqY6ASoPjfwFqsQG4enonD7cUnwNa8Kvp0iAka01gUqNbhYUyPZNbllnKkvB6fILDhQDnnd4iltNZBnFGD9YRjV+vwMKhTHLklVsqtTnYUWHC4vdhd3pOe08Zo7Lu9s9CCIPgQBIFYozrImRId6T4dYth7vBaX24fb42NfcS0mgwavz8PFXdtJ9Yji+U539FtGRkZGRuZsoFVy6//5z38a/Vm6dCmffvopW7ZswelsvurZbxFR7lpUcTuViw1RznvuhJ5SRKglx+YUWNiWV9lk0X5r6JsWy5wxXchsF0WyWc/y7AJJ4ntIZjwGrYoLz4tHqfCrTHq8ArUONyBQWuvgQGkd2flVTcrVi3RNNjHkvIQTdUF+hyojwYhWrcSgVWHSaxjRtR1KhYIYg4bKehfdk6Ppnx7LzGGdAP8C2+7ysjWvSupFlGzWR6y92VloYe3eUqrq/bLd4aXU/Slm4aTtdxZaeHNjHgXV9pCmvZP6pRJn1CCcUGjbWWDhz+9ls2F/GR3jjXSMN5KREEWiSUe35GgOlFqZ9PJG7v5oe1CzaVGgwa9UiZQeZ9QqJRsafm6zLspkWlYacUZNm/W8CpT0Xr+/HK9PwOnx0SfVjF6jIr+ynjij5oSIgl+ApHuKmVqHh5uHZ3LNBelc1b+DlGpZUGWT+pAFtisIlF0369VYbC7G9koO+W6Icu5Wh5uCajvZ+dVBn01D+fZAzHo1+0tqsbm8uDx+Jb06h4f9pVZUSgVROjV9OsQwNSudWRdlUuvwYNT6o7PJZj31Tg8KBVhsLg6UWk+JhHljTX3FWsfUWAM9UsyM6p6Ey+OTHGnwP3+juycRF6XFqFXh8HixOtwIgsDWvCrpu/xbUAaUkZE5c/z3v/9FoVBIPxqNhi5dujB//nxcrsgvNc82nE4nDz74IKmpqRgMBoYMGcLatWubdeyGDRuC5iDw58cff2zVdYqKipg4cSJms5levXqxcuXKkDGfffYZSUlJ1NTURLTN5/ORmJjIP/7xj2bdy++RVkesFAoF4FdbCyRwu0KhwGw2M3fuXB544IGTNPXcJbBJKTSvUXBraLhYFyWnA1MPI11zZU4xu4pqiDFoIvZpCqSlCyjR6evTIQajVs3avaVS/UyMUcvlvVOkhZ/9RDrghefFE63XcKDUSlW9E5vLCzilNLfmzEWiSUeiyZ8CmGjS0THeSLXNRVW9i+z8Ktxe//OrVytxewWyMmIkFTlRgluM5PRIMfnV/DTKsKqO2fnVxBq1OD1WdGplSC1PjxQTBVU2eqSYJDXChulmMQYNeRX1jG3QLLZvWixDz0tAo1Kwp7gWj1egpNaBXqNiVPckzHo1y7ILJVv9kRAf1fUu+qXHSlHSlTnFWB0eSWQgt8QqiVMcq7JFjGjkllhJjzdKc3OyiA1/BUHA6fYiINA/PYZqmxu7269OV21zE61TU+d04nB7pVRGQGq8Laodxhq1WGwuBnWKkwRJDpRaJfXHqVnpUkNhUZK94fPbNy2WPh1icHq8ksx7c55z8bx6jYp6l4damxuX1weCQIxBQ1KDWrvg9Ew7MUYtVocHnwCFJ5y6k/nbEOneIsmim/VqjFoVVfVejlbWs+VwBclmvZQqKv69unl4JokmHbuLajDpNRyv8QtvFFTbeOnbA+i1KoZkJqDXqFrUZFlGRkZGJCcnB4Dnn3+exMREbDYbn376KQsWLMDpdLJo0aIzbGHzmDlzJsuWLePuu++ma9euvPPOO0yYMIH169czfPjwZp1jzpw5DBo0KGhbly5dWnWdm266iaKiIp5++ml++OEHpk+fTm5uLp06dQLA4XBw33338cQTTxATExPRpm3btlFRUcHEiRObORO/P1rlWO3YsYObbrqJhIQE/u///k/6oA8ePMi//vUvLBYLr7zyCqWlpbz88svMnTsXk8nEn//85zY1/lwhUMhi8fpD/nSjU7DwaJj2tKuoBo/Xx+c7ikmI0rJmTwlzJ/SMeM0Ygyaob1AkxPuIPaES15x7CKxXij0R+ah1eELqyfqmxfLXy7rz9qY8jlbaSDbrsTr8qWB+8QiBH49UsnDV3kbTAsU5EGuKjFo1NpcnyNESHUmdWkmZy0m9zc2BUqu0sB3RtZ1U4yU6FwlRWsnecDLgAIM6xUn1NIHjak+IlogOUMM6K9HZyDxR49OQHikmdhfVYNZrsDo96FRKzj+RsiYq1P10tAqH24fD5cXjE7C7fUERyEn9UimoshFr9Dc67pFi8tejKaDG7uazXwrZsL+MOKOWRJOOHikmlmUXUlBtJ8mka9NGtunxRoosduxuH26vj2NVNvQaVdC1c0usqE5E6YAg2fjAdL+cAgs1djcbD1bg9Piosbs5XmNHq1JKtWMNvx/hUuPEOdaqlVLE0ahVS+p+Zr06JC3VrFez9UglY3slc/PwTOZ8uB2rw6+4aHN52V9ipczqYP6VfaS/BWKdW63DQ5RWJakRdk6MPumodmBdZzinsOG9i6mMX+wownEidfalPwwImWtAigpmJBi5vHcyy7ILOVJRLz1vpbWOZvXrk5GRaXuUWiPtrnooZNu5xM6dO9Hr9cyZMweVyi8YNXPmTDIyMvj444/PCcdq27ZtfPTRRzzzzDOSIvaMGTPo06cPDzzwAJs3b27WeUaMGMG0adNO+jp2u51169axYcMGLr74Ym6//XY2b97Mf//7X/70pz8B8OyzzxITE8Ott97aqE2rV68mIyOD3r17N+seIlFfX09UVNRJneNspVWpgP/85z9JTk7m22+/5eqrr+b888/n/PPPZ8qUKXz77bckJiby73//m8mTJ7N27VqGDh3K4sWLmzxvXV0djz32GOPGjSM+Ph6FQsE777zTbLssFguzZ88mMTGRqKgoRo8ezS+//NKaWzwlZOdXS8XsPkEISjU6WQIV0MC/SD+/QwxqlZI6h4fCahtOjy/iNXukmEgy6ZiWldasaJAYIWjuIlBMRZrUL5WsjDjJqRIXmmJEZckPeVL0rNhip7TWgdvrb6arUSmwuXzU2t2syy2LkGrnJzB1S7w2IKkkJpp0pMUZTpzbe2JRGxXUrDUwwvH2pjyy86tPpKiFCo8EXnNqVjp3jO6C6YTEuZjalZURR36lX/J98+EKVmwvYtaSbUx6eSPLswsAv7MRSXWw1uFBq1aRHm9gVLdElt46REr5zMqIQ3ci6ubweFEqFWjUStpFa4MikGLKW/cU/32u3VtKlE4NCgU2l4ejFfXsKLCwq6iGAyckyKvqXVjtbtxe30kt+ncW+hvMLly1V4qcAXh9fsfK4fZRWG0n0aTj4Ym9mJqVzl1jupBk1hNr0EgRwIZpbX3TYqX6qMPldejUfoezW7IJtUopRfHEz+dgqZXPfilkXW5pSNprrcOD0+NjR4GFr3cdp9zqJNaoodzqZMP+MpZlF5KdXx30/AU+J+BXjVSdUEmtqndhc/nYW2wN+u5lZcT5VQ+TTWjVSpJMOmYO69TiFN5w1NhcrNhRxLrcMrYcrmTx+kNBqbcN50/8PT5Kg93lRaVUcLDUysJVe8kpsJBfWU+xxS6lUpr0Gn48UsnL6w6RV1GP1+sXvEgy65mWlRb0fMnIyJw+FGoNUT2GB/0o1JozbVaLyMnJoXfv3pJTBaDVaklNTW00Re1sYtmyZahUKmbPni1t0+v13HLLLWzZsoWCgoJmn8tqteLxhM8iau51HA4HgiAQF+f/m6xQKIiNjcVmswH+NMGnnnqKF198sVGFb4BVq1YxceJE1q9fj0Kh4PPPPw8Z88EHH6BQKNiyZQsA8+fPR6FQsHfvXq6//nri4uKaHbU7F2mVY7VixQquuuqqsPsUCgVXXnkln332mf8CSiVTp07l0KFDTZ63oqKCxx9/nH379tGvX78W2eTz+Zg4cSIffPABd955J//4xz8oKytj1KhRHDx4sEXnOhWIinDHa+xSMXtbLjxEGW8x4gJ+58Hr86cjKQNU08LRcHHYGFkZcXRPMbUo4ha4qH1g2U62HK4IqS9atHofK3OKKbc6SYszoFAoGJIZz9DzEkgy6aiqd0upih6vT1poN4dii7+h7rrcUn484u+ZVVrrxOXxkV9pR6NSMqp7Eg9P7BUkpy0uQEtrHXh8AiqFAoe7eUIDu4tqyM6vlhbgYqpZkkmLSqnA5RVOOL3+mioxshYpKpSVEUe35GiyMuJD5l7sc9U5MYq0WAOxRg2xBr9D0FBsI9DpHNsrmfQ4AwPSYzHrNfgEUCsVpMUZ6JZsYmyvZH+PqKToIJW4liJGOdfsKeGTnwpYl1smCVYYtCoMGhUut79up9z6a13m1Kx0XvrDAHq2N0uqgOHqncb2SibOqKFzYjSDMxPol+6PfN44NIObhweLxfiVM+0cLq9n48GKIBuLLXbcXh9KhQKr0/85z7oo84TanYJksx6dWkmM4dfFSuBzkp1fTe/UGIxaFSqlAqUClApoZwp2xkUH98LOCUTr1PgEv+S76HieTJ3V1rwqau1urHZ/emesUcvavaVBUarA+RN/z8qIx2TQ4HR7eWfzUalP1eFy/9+V3BIrd4zuglIB1Ta3v+Gx3Y1PEDBo1ZzfIUb6+xGpHk1GRkYmEi6Xi/3794es/4qLi9m7d29IWlxrcLvdVFRUNOvH5/O16hrbt2+nW7dumM3moO2DBw8G/FlfzWHWrFmYzWb0ej2jR4/m559/btV14uLi6Ny5M08++SR5eXm8//777NixQxr3wAMPMH78eC6++OJG7SkpKWH79u1MmDCBUaNGkZ6ezvvvvx8y7v3336dz584hbZamT5+OzWbjySef5LbbbmvWHJyLtCoV0OfzsX///oj7c3Nzgx5InU6HXh+qONaQ9u3bc/z4cVJSUvj5559b9CVatmwZmzdv5tNPP5VCp9dccw3dunXjscce44MPPmj2uU4F4qI5WqdGG6WiW3J0m6cBBkarREdLp1agUChJjzcBiojCC4HpTE3RXMnzcLyz+ShF1TZq7C7uHNNV2i6mstXY/XVR/dJjsdjcxBg1pMf7leOSzTpq7G4GdYpnf6k1SFa8McS5EJuxqpX+qGGiSUuxxYlZr24yBXJaVhrLsgspszrJq6hn0ep9jaZVZudXU1XvoqLOdaIvkh9RZU9Uw/On7nml5sMQuZFzwzqZhrV6onPl7w/l4oNtBcQaNY02up2alc7UrHQp4imqV3ZPMUlRxK7JJsk5DFdb1hzEKKe/lshfV6VVK8mrrEelUJASo8flEfD4fCH9skQnpDGlOfE+RFXFHikmyUkvttg5WGqVoqRjeyWzLa8Kg0YZpFApfkeHnpfA7qIaqupdHC6vY+GqvfRIMUl1XeJYs17NwlV7gV+b7BZb7DjcXkwnnqlks56h5yWETVsVP0+z3l9zqNeoJEn/k0mjSzbrOVZlIz5Ky8xhnah1eDDr1dQ6PNTYXFzy3AZsLg/XXpAepOY3qV8qu4tqcHr8EUSxTtaPgnKrk+z8asb2SkavUXG4vA6724vT6aHe6WFXUQ3VNjfFFrvsVMnIyLSYvXv34na7yczMpKKiArfbzc6dO3nwwQdRqVQ88cQTJ32NH374odntf/Ly8qQapJZw/Phx2rdvH7Jd3FZcHDnbBvwRuqlTpzJhwgTatWvH3r17efbZZxkxYgSbN29mwIABLb7OG2+8wbRp0/joo48AuPvuu7nooovYvHkzn3/+Ofv27WvyvlavXo1er2fMmDEoFApuvPFGnn/+eWpqaqS6rPLyctasWcPDDz8ccny/fv3O+Fr8dNAqx+rKK69k8eLFdOnShVtvvVVymhwOB2+++SavvfYa1157rTR+y5YtIQV34dDpdKSkpLTGJJYtW0ZycjJTpkyRtiUmJnLNNdfw3nvv4XQ60enarsFpY9jtdioqKjAYDBiNRvR6veTsiJLLzaljaok4RDhnp9hil6S9RTW4SIj1P4HNZZtrH9AiW9UqpSRpLp6r2GKX+uGIi9SGMtn5lfUkm3VYHW46JTQ/b9ysV+PyeEmLMxBn1FJa6yAjIZpjVTYGdYrH6nDTp0NosWZgLYqY4nfT21v58UgVZdbGRTSyMuJYs6eEKJ06yFEI/JymZqWz5Ic8NuwvBwRqHZ5GGzkHznmkGiHx/Et+yKN/eizHqmyNOsuiQwUQpVVRZnVyoNTKgdJaii12ySE4WSl+8TlJMev4X24ZNpfX/zwK4PL6qHV4pGa5DZsqN5y3xu5FFK6osbvRqlUUVttIizNQUGWje4qZlTnFpMYauLx3MtsLahiSGR9ko1iXF6VV8e6WfDxevwAIwMMTewXZs+SHvCBHCDih9mejd2oMFpurWVHdqVnpQc5rS3ucNUQUmQhEFB3509KfKalxolDAih3FQY5VoGMeWEsm1rrtLqphy+FKlAokR/ejbcfIr7RhNqilGshyq1NuECwjI9Nidu7cCcAjjzzCI488Im0fNWoUmzZton///o0ef8UVV3D99ddz/fXXRxzTr1+/ZqvztXY9arfbw643xbWy3W5v9Phhw4YxbNgw6fcrr7ySadOm0bdvX+bOncs333zT4uuMGTOGY8eOsWfPHlJTU0lPT8fn8zFnzhz++te/kpGRwauvvsqLL76IIAjcc8893H777UHnXb16NaNHj8ZgMAD+eq5FixaxbNkybrnlFgA+/vhjPB4PN954Y4hdDc/3W6VVjtWLL77I4cOHmTNnDvfdd5/kHR8/fhyXy8XgwYN58cUXAb+zZTAYuPfee9vO6jBs376dgQMHhuSHDh48mDfeeIMDBw5w/vnnn1IbRDZs2MCECROCtul0OoxGIwaDQfpBrcONmnax0STHx0jbn3zySbLz60IWslVVVXz33XdB5wg8p/j/Wq1WOkZc8Ik9j8It2ETHJr+yPijdqjEaKhA2d9E9c1gnqU9T4LmMWjX90g3MuigzaLGflREXFI0rqfGn5J3fIYZ+6bHNWoDWOjwMzkyQmvYuzy44ISChIyPBSPkJZ6KhoxSud1FVvQsEQZIAj0TgIjWSjYENg8HfBLcxUY7AOW8qwijOmVGrIrfEGjHSJEbz/LL2To7X2HG4fTg9dZj0mpB+UA0b8LYGt1dArVT4G0J7BFweL9E6NQaNKsh5aSmBUc+0OIPkTHdLNtEjxUStw4PN5cFic1Ntc3N57xRijL+m9AU6b4tW78NzorYPKWrjR3w+y63OkGbP2fnV9EgxsTWvCqfHy6LV+5pU5VyeXcCbG/OIMaiJM2pb3H+uIYGOcKD6ZrHFjsXm9gv+C6BSKkKei0gO7JIf8rA6PCeaHcdK38+e7c30bG8m0aQj6sSzBnKDYBkZmZYjKgKuWrUKrVZLaWkpixYtIjs7u1GlOpF9+/bRp0+fRsfExcVx6aWXnrStLpeLqqqqoG2JiYmoVCoMBkPYVkMOhz9DQnRMWkKXLl246qqr+Oyzz/B6va26TnR0NEOGDJF+X7JkCSUlJTz00EN8++233H///bz33nsoFAquv/56unfvLkX33G43a9euDRIP6dGjB4MGDeL999+XHKv333+foUOHhg2mZGZGfnH8W6JVjlV8fDw//PADn3/+Of/973/Jz88H4LLLLuPyyy9n8uTJkoOj1+t58803287iCBw/fjxsfmhgSDSSY+V0OoMeztra2pOyJdzbCPEa1dWh4hENkyofe+yxsIv63NzcoIhcJBQKheS4odZiNBhIS4xl5sPPsfjEYjywyet3O4+w4f03qfcoOarWUNkxEcXBDhEdOIPBQCejm302J/06xKNWq8OmRoVbVIkpW4E0vFdxsW91uCg4EXHZXVRDXkU91fUuUmL8inqNRXcaO78oAgECqbH+PzzVNnfIm/Zwi8zOidFU1buIj9KGjayI7Cy0SHL3Zr06olNj1KpJNPn7MJVZnVTbXBEXpA1V7RqriRMX16I6pLgt3DlFp3VAeixvbjyCQgGCAC7Pr4qC4lwsXLWXA6XWFqd7iQv9/+4pRaVUUOf0clmvZCb1S+XgCZGMk+2RJd5LudVJaa0Dk16DUhH8LIpOkd3tZV1uKZ0To8M6nVq1EqVCQaJJR5JJe0LsooxJfduzcudxjlbUo1QoGNYlgReuGyAdJ0aytGoVe4trUSoVHK9xcFX/DhE/17V7/XOSV2Ejs0d0mzgkgZLu+ZX12Fw6KWKtVkKUVk2MQRPyMiFSpDxQ8bLW4e8TZnV4cLi9UlRuyQ95dE8xY3N5IvbMkpGRkYnEzp07ycjICHoxPXDgQHr16sXixYt55plnIh7rcDgoLCykR48ejV4jnEMUCdFRCsfmzZtDUgrF1MH27dtTVFQUcszx48cBSE2NvHZojPT0dFwuF/X19ZjN5pO6Tm1tLQ8//DDPPvssUVFRfPjhh0ybNo3JkycDMG3aNN5//33pHjdt2kRtbW1I0GDGjBn85S9/obCwEKfTyY8//sgrr7wS9pqtcSjPRVrsWNntdh5++GFGjx7NlClTmrXQPx2cTOh10aJFLFiwoM1sEZVWWovRaCQtPnRR31T4WEQQhBM2+O2wARVF8NqGQ7Tv5K9rCnRu0vQuvv3wNen3H4G3WmDv6x98jqZjP77MKWZHgQWd2u9UZ8aomDp1aljHrOHvBoOBA8eNFBgMeOq8OAqrKBXiaBedytq9pTg9/nSxaL0ag1bdqFPTFA3r0URHRXyj39jCVkyzOlBqZdHqfUzLSgtxFIEgufu1e0vDjhGv61+Iaqmxu4kzaiNGrho6eo1Fw8Tzr9lTEiS0EA6x5qvW4eGCTvFSLZpWrYxQn6UIs61xxHsd1zuZ/+WWYdar6ZFiku4p3PxAy1Jixf2L1x/CpNdwrMpG//TYkM+zoMpGSY2TijonGpUy7OfdLdmE1eHG7RU4WmGTpNM//rmAMqsTrwBeQQhKrxVtNevVdEuO9itxur1kJBgjOho7Cy3Y3V7qnR4u6ZFItF7dZOSyOQRKuu8osKDXqHB5fJj0apweHzq1kvxKG6YGYjZNpZiK9yjK9McatUFS9ACX9EySI1UyMmcAr62GwpdvCNqWdtf7qIxNR3vOBnbu3CkJKoj07NmTCy64gOXLlwc5Vh6Ph0ceeYTXXnuNhIQE5s2bR+fOndFqQ1uVBBLOIYpEYzVW4VIKxdTB/v37s379empra4OEJbZu3Srtbw1HjhxBr9cTHR190td5/PHHyczM5IYb/M9LcXGxVLsFfqcsUGRj1apV9OrVK2Q+rrvuOu69914+/PBD7HY7Go0mqBTo90iLHSuDwcDrr79Or16tT9k5FZxM6HXu3LlBqYq1tbWkp4df6DWH5jpAkYhk68meV1BpqHN6QyIDHWNOTo71qMVNhbuSbXlVuL0+6p0KDpRasVqtzc5lDsdVf30WpaIDY3sln1jgC1TVu7msZyKj+3VGpdGhUGsxRxuJM0dHdN4OVTrxKrWsjjZyca80OvS6gNTYlBDhh52FFv774y7S49pRXV2N0WhEq9UGFPD/umBdl1vWpNOUU2ChtNYRMRIjLlZFwQWx/m7D/nKOVdVTUGWLWKMTKWWrYe2bWDsWzhEN7EdmsbnonmImzqjFoFFhd3sJ50CJfZ7Krc4WCVmI40SZ9SidOuLcBbIyp5jvD5Tx7uaj3DWmS5PjA1sB3DYiM6SeUdzv8FhpF62NKFoi9vsqszrRqhUonH4Z9Vq7G1GXR6P011SJ8xDYqy1wviM5SOL8Wx0eMhKMdEvx/8N4oLSu0chlczHr1Ww5UgmCQH5lPUMy4ymucWDQCFRYnSiVCn9qawDhIuWBBN6jWGclvpAAmh1FlpGRkQmkpKSEsrKysKl8l19+OQsXLmTfvn307NkTgAcffJB9+/aRl5eH1Wpl2LBhISp04WirGqvGUgqnTZvGs88+yxtvvCH1l3I6nSxZsoQhQ4ZI60ubzcaxY8do164d7dq1k44vLy8nMTEx6Jw5OTl8+eWXjB8/XsoIa+51GnLgwAFeeeUVvv/+e2l9k5ycTG5urjRm3759Qfe/evVqrrjiipBztWvXjvHjx/Pee+/hcDgYN25c0L38HmlVKmBWVha7d+9ua1tOClFRsCHNCYnqdLo2FbaYNWsWro6Dqai2old6uaJ3O+x2O19vP8qPB46j9LlReF3syCvD4bDjc7vQ4qZLgpYBqVERFRS1Wi1dunTBbrdjt9ux2WyS49gc4swm7hvXPWRxerIOW79OSSzZb0OnUmJ3+4jSKnF5fCd93k7Jsdwc4FiIzUoNSk9QKL+sBedcBsx8cBF9L5kS9q38iFuuCEoFFdMqA521Oo+SGpcChUZLRVIs079MxGAwcO2110rdyPumxXLz8Eyy86vpmmxi1apVeL1eDAYDRVYPedVu+mcmMeC8FAqKy8gwqamqszOkcxLFFju7i2qCmqw2N3LTsPbNqFUTa9RETEUUnRCxYbPNpZOaKQeq4MGvtUCCIKBVh4/0NMbKnGLW5ZYhCAJen9Ds1L+KOjcalaJZjlhgb6ZIqY/gT2lrTC2xb1osPVJM7CuxEqXTMKp7MnuKa9hfYkWhgFiDGr1GhdPt5e1Nebxw3YCQVM3G5h5+nf8au5tuyaYAwQiBqnoXOQWWVqswAuSWWPH6fCD4Hex6l5eEKC1V9S7amfTUOT10TowOue/AtMmGz1xgrZ24T0w7zK+sP+lIm4yMzO8Tsb4qXMnGZZddxsKFC1m1ahU9e/akuLiYN998k0OHDhEbG0tsbCzDhg1rVtPatqqxaowhQ4Ywffp05s6dS1lZGV26dOHdd9/l6NGj/Pvf/5bGbdu2jdGjR/PYY48xf/58afu1116LwWBg2LBhJCUlsXfvXt544w2MRiNPPfVUi6/TkHvuuYdrr702KDo4bdo0rrrqKubNmwfAypUr+eqrrwB/5G7fvn28+uqrYc83Y8YMSY3773//e8sn7DdGqxyrF154gQkTJtCnTx9mzpyJWt2q07Qp/fv3Z+PGjfh8viABi61bt2I0GunWrdtps0WtVjOid4a08Oh9YpGxy5nA+fFW8ivr6dMhhrhSK3uLa/EJAiO6JnLz8MZ7v1x22WUhPbkEQcDhcEiOluh0rdp+lM25xfRNMZBgULB5fzF9BnaW1MECF01xcXH84Q9/4PDxKo6VVeNzu9DgRq/w4nM7gxw5t9sdYle/zGQG2JwsL6/DoFGiUMCQzPiTTom8Msv/9lus2+qR4rdd0QJnMhzdOsRjc/mFDBouXBs6g2JaZaR72ZsHe/1Rd/r27Ss5VhDs5Dz25z83qymgSqXCaDSi1OjwKjXEREdRfdefiRtyddgUrZdeeony8nLJ6at0CByv89EjLQG9wcDxGg/tMhLJyakNcRAHpPujWQ2FF2odnrDpXGItUOWJGrNIPdEiUW514nB7g2TAm3IcJvVLlWqm2qIVQOB+0VGP5CDmlliJ1qmpc3qklDmTXo3b46NvWiwHSq14fIIk2R4pVbOpuqXrh3SUapSMWjUujw+by8u+47UsXn+oRf3iRHYWWthdVEOUVi3VA769KY8au5uMBKOkjjmia7uQ4yIpT4bbJ6osllud7CqqIcagidiHTUZGRiYSoiJguIjVhRdeiMlkYvXq1dx3333873//Y9CgQSQlJUljysvLmxSuOJ385z//4ZFHHmHp0qVUV1fTt29fvvrqqyZ7RQFMnjyZ999/n+eff57a2loSExOZMmUKjz32WIgoREuvs3r1ar7//nsOHDgQtP2KK65g4cKFvPzyywiCwKJFixg/frx0TExMDBdddFHYc06aNIm4uDh8Ph9XXnllc6bnN02rPKKZM2eiVCr505/+xJw5c+jQoUNI+ppCoZDeQLQ1x48fp6amhs6dO6PR+NPYpk2bxrJly/jss88kz7miooJPP/2USZMmnTapdZFwC7ysjDi2HqkkIyEKgDijli5J0UzLSqNrskmKMrRkUSJGVA5WOsnOd5OVkUjfrrFkW030ju5Epc3FwF7JHDCU4vCppEVSsJR476DeAmJqWkORCwCv14vdbufnwyX8dKiEbglaMjMz2b12G2qlAq8gMKJzO2KMWpKT43juueeCHL5AJ62x3+12O1FRUUGqdWIt0MtrD3AydO/QjppYQ8ii2uPxhHUcm4vRGCwBHxjBaG70zuv1YrVaAX80pa7CrwZ5aYQUrbfeeotdu3a1yt5bbrmFt97yV9Mt+SGP/SVWSSL8+SceIXv7TpLizaTEmzEYDOyvcFBo9WGONmJNjOWzfdFUb08LSb1s37592BcZiSbdiV5kHl5ed4huyf5oSVOOUKA4RFvSWNqbWPtUUFmPUadmd1ENl/RIIrfEKsmPd4yPosbuZlpWWqPXaapuqaE9yWY9VfVOyq1OMhKMrUoJzM6vJiMhihiDhrG9klmZU8zh8jrUJ9L/XB4fGQlRIeIngbaGE5VpuE9UWSytdRBj0OD2+ii22E8q0iYjI/P74/777+f+++8Pu0+j0QRlklRUVASlm5WUlLB582Zee+21cIefEfR6Pc8880yjghujRo1CEISQ7XPmzGHOnDltdp1AJkyYcGKNEcpDDz3EQw89FLJ91apVXHbZZRGDKEqlErVazaRJk8JmXM2fPz8oIvdbp9WqgAkJCXTv3r3pwS3klVdewWKxSI3NVq5cSWFhIQB33XUXMTExzJ07l3fffTeosHDatGkMHTqUWbNmsXfvXtq1a8fixYvxer1tKkzRWsS3vWLKVU6BhV1FNaiV/hSn3BIrRq261XUVDRdvZr2aHQUWOsYbpCJzi80VlCoVSclv7d5Sqk9INTd0rFQqFdHR0Yzq14VR/YLfnKiUCgxqFRkJUWRlxJGUFHvSMvuGE5Lk4K8ZeXNjHk5lFF1mPUu8HhReF1o8dI7XkNUhmiMlVeSVVKPwurDW2YjRChiU3iDnrX379nRJD11Ut3VtXODC+WTObTQaI0ZiTua8gfaKTr+Yfrjlx60cyPkp4rE7T/w3XKu/qVOnsmzZspDtPVJMLJ5/L6V7t6BQa9mm1fN9UixvmKMbbR8g/px33nkRxXJKS0ux2WxBx4kvXSLRWHTL/5JDgdmowe7yUVXvIrfEKtUVxRr9BdIPTwzfJLoxB6Upe8Taq4wEUCqCG0Y3NyXUrFdLKZ65JVa+3n0cl9uHUacmSqfG6fEG/T0QCbQ1kuMXuE+0R6wP9Ev8t/7vmIyMjExTdO/enaeeeoqCggL0ej033XQTCoWiWf1SZVrOqFGjGDFiRMT9K1asoLy8nBkzZpxGq85eWuVYbdiwoY3N+JVnn31Wkm8H+Oyzz/jss88AuPHGGyP2MlCpVKxevZr777+fl156CbvdzqBBg3jnnXdOiQPYUgKLvmddlMnCVXuJMaipqncTa9SeSJNqvJlrY4STFO+fHhtUPyPWRQSSW2INaXKq16hQKtwtsmXmsE68uTGPjvGGNk0Fapi61THeyI56F6k9BmBzeVGrFAzMTJDSKBeu2ktlqRWXx8eIgN5Vkc4dSHR0tOR8RYqy5RZWkFtYSY21jsKKGjJj1XSO12G32+nbt2/E++jcuTNWqzXofC6XK+L4QBoTXmkrx6pvWqzkNJj1aupPIo0znL1i81633YrX5n/z6AH2VxQ2+7yXXHJJRMfq0Ucf5Y033gjaplKp0OkNqLU6oqOMmKOjgpw1N2rsgpp+vbrzxkvPBh0rKkd6yvOwVOZTV6akpiaGj2359OuUhKOiFrdHyUffO7Fd0InBXdoHpSA35qA0ReBnIX6fxTYAkaJfDal1eOieYpYa+7o8AlqNiv7psVLz4HC1UI3ZGm5fw5qsYosdm8ufSiojIyNzKhg3bhzjx4+nd+/epKWlMWbMGMrLy0P6mMq0DQ888EDY7Vu3bmXnzp38/e9/Z8CAAYwcOfI0W3Z2cuaLoxpw9OjRJse88847vPPOOyHb4+LieOutt6T0prOJho6PqBp2oNRfc5Vs1jfal6gpwr1dFv8b+BY81qil2GKnoMpGrFGL6YQ0tDh2ZU4x1TYXyWZ9s2pgRKZmpdM12cTKnGKKLXZeWLuf3BJr2HTC1iLe0+W9k1mWXUhBtZ0orQqH29tgpIJks77FvXQChSri4+PDjpnAr72Q2ludJJp0jRbri2/0l676LmTMv78/xJ5jFVTWWEkyKlALHg4WVVJeY6W4ohaT2kuCHjoPHB7R5quvvpqysrIQZ9Bms1FhseJ0OHC7nLiddny+4KbGkSJsS37Iw9tMpy8c4RwrsXmvxxWq3Hky5xUJ52B6vV5s9XVQX0dtdSXFEY4tLTwKBDtW4lw8+P27fPDiPxq1S2yXqNVqgxy3Tp06Met//wt7zIYNG/j6668bbUHgq/Py6V4PFhe4BDXrflZyad90olRNP9eBqXpi6nGfDjEhPb1OttlzIM0R7JCRkZE5WZRKZcR1oMzp49VXX+W9996jf//+8mcRQKsdq9raWhYvXsz69espKyvj9ddfZ/DgwVRVVfHOO+9w5ZVXymHZABo6Pn3TYqW6BwRa5Qi05HrZ+dX4BNhwoAwF0DHeXw8kFs6LDkC51Qko2FVUw09Hq/jsFy0Lrz4/ZKHUUNZ7ZU4x5VYnh8vrKLc6Kat1olUrKbLY28SxapgCJTpxPx6ppMzq5O1NeSSadCfsFxptzHuyiHVf+47X4PX5RRki1QE1FmGIjdJx3CaQnNCOoV3b+ftI9VPzzuaj1JrtODxelHFGdtVFEakc9OWXXw67XXT+wO/En98hBrfbHeR4Bfa9EI8RI1aTZvwZk6+OGK2A3W6noNzC/sIKqmrqcLkcJBmUmDW+sDVysbGxIfaIEaBstZfQFtnNo2ENWyAnI5TSVhFBl8uFy+XCYrEABMn0N2Tz5s384x+NO2zheA8wGKP8DmMYVq1axXPPPSc5Z07UWN1K0hJjqEuM5YtfjKw5se9/B6qpcAj8LymOGSO6SSpUkRpiNkVzUx5lZGRkZM59ZOc2PK1yrAoLCxk5ciQFBQV07dqV3Nxc6ur8/9DHx8fz+uuvk5+fz4svvtimxv4WCHQQyq1OrHYPSiUcLq8j0aQ7ZYsSsYZGrVRid3nIq7Bx4eAEKf1PdAASTTr6pcfy3o/5VNW7cHt9YZ2ChrLe2fnV5FfaUCmhqt6ND3CcUDdrCxo6KOLPwlV7OVBqpbTWQbXNDQgcrbSBAMuyC9ssWhaI6CTsLrLg8vj8znEEDpTU8r/cci7pkRiyr9bhQatWUW1zUevwSCmLuSVW1uWWYXV48PhCC1ubQ7jogVarRavVRkynDUxXfePxe4L2Lfkhjyybm/+eaDgcZ9Tw2h8vaLY94ufVQ/cvtu3LJyNWTUqUKiTK1pigSWPNDk8mJVKliSxsU1huafV5G3MET8pebWR78/PzWb9+fYvP+f6J/7pcrrCO1ZdffskNN9zQrEbfaxRaLrt1bptFwmRkZGRkZM4VWuVY3X///VitVnbs2EFSUlKQ5CX4pSJF/XuZYAJliktrHaTE6Kl1uCmstvPJzwWNRj9OBrEvz5bDFdjcPjrGGfhmTyn902OBX982i7URn/1SiEmvIdkc3tlr+HZ6zZ4SonUqXF4feo2SOqffoaqoc7I8u6DVDk5gFEW8biCT+qVK+wP7EhVW20k2h+8HdrKITsKBUiu7i2qJj4rc6X17QQ0alYLtBTUh+0QHTfx/EbEJb1qcgW7JprDNfZuiNdGDxo4R943rnSyleLaGWkN7Unq0w2DUMKUNm8l++eWXYdsONOasHTleydFSCxec3yPieV0aE/GpnXA5HWjw4HY6sNlsIWmV4ThVtXF6XeTn+mTOq1arIwp+1NXVST9NoTNEMfj6+34zAhYLFy7kb3/7G7179w7p37h582YeeOABfvnlF8xmM9dccw1PPvkk0dHB/cGcTiePPvpokCTyE088wdixY0/nrcjIyMjInGJa5VitWbOGe+65h169elFZWRmy/7zzzmtWz57fI+ICNb+yHqfHh1atpF20jiMV9ShB6onTlohpYWv3luITQK9WYnV66Z9kkpTBGopE9E6NoUOsK2IPnYaphnMn9JRquH48UonbY8fpFbA5/dLaXZNNJ6V2CISIUDSUhRfvM86obbVD0hLijFpijRrijJEdq3G9k/lmTynjeoc6IpGEAmod/roYi83V6marLRVMaOoYcd/y7AK25lWx8WBFqz7TU5UuplKpiIqKIioqqk3P++STC1mZ83+A34k/WGplzZ4SRneLZ3zPdo1G2BourgMZOHAgN954Y9hjj1fWYK23ofS68LicuJzBfxPcCnXE2seTcax0+rZxBKOijG2a1nwmKSws5Mknnwz7XO3YsYNLLrmEnj178vzzz1NYWMizzz7LwYMH+frrr4PGzpw5k2XLlnH33XfTtWtX3nnnHSZMmMD69esZPjxyDaWMjIyMzLlFqxwru91OYmJoapNIJI18GYJS2Kptv/aTAYjWqZvsidMaVuYUsy63DEEQ0KqVaNVKRnVLpFuKOUgpUFyoBUo1NyXKEOiUiUpmKWYd/8st41iV7USzUw8rc4pb5SA0thAPlIXvmmxi8fpDlFmdmPRq+qW33LFoKYkmHWlxBkllLRx3j+3OmJ7JZOdXN1sIJFAq/2x76792bynFFgdlVmerbGuNw3cmEWshD5RaWZlTTEGVDYvdw4aD1Vw3tHPEtMqmuP7667n++uvD7hMbF9tcHsqtTn48UkG0WqCdQUFJZS2pMbqIc3/55ZdjNpuDnLXd+eXklVbTTg/tDArsdjsVFitHyyzU19fjc7tQeF3oG3EEW+JYmaKMEZU4zzXuu+8+hg4ditfrpaKiImjfvHnziIuLY8OGDVK9YqdOnbjttttYs2YNl112GQDbtm3jo48+4plnnuG+++4DYMaMGfTp04cHHniAzZs3n96bkpGRkZE5ZbTKserVqxfff/89f/rTn8LuX7FiBQMGnJqmnr8VAlPYah0eBnWKo9bhoWuy6ZRcL8agRqdW0adDDPmVNrYX1HBBp3hqHZ4QcYVah4dYo5Zl2YXklljDRk3CiTIE9raJMWqpsbn4fEcxenXrJVAbW4iP7ZXM2r2l9Egx8fDnuyistqNUQEaCkTV7SjDr1aekxkpE/AybejOfnV/N/hIrW49URowAwq/OarHFTv/0WPIr68+6ZqtjeyVTY3eTbNb/JiISTbGz0MLuohqcHn/qn/jMtTYVsjmY9Wq2HqlEr1FRbXOTGmsgyaQnPd6IOSaOY1U2amyusIp+gwYNYtCgQZLt2fnVuAosJNpcdEs28fDEXkHXun3pz+wosOD2CkwZ2CGiTdOnT2fgwIFNNvrOL62m1hs5onYu8f3337Ns2TK2b9/OXXfdFbSvtraWtWvXcs899wSJwMyYMYN77rmHTz75RHKsli1bhkqlYvbs2dI4vV7PLbfcwrx58ygoKCA9/dT9nZKRkfmVpUuXsnDhQg4fPkxUVBQWi4VRo0YBTbcS2rBhA6NHj2b9+vXSMeciv5X7aA7z589nwYIFYRsxnypa5Vjdfffd3HTTTfTt25fp06cD4PP5OHToEAsWLGDLli0sX768TQ39rdHQYfCLMNRRbLG3+YJkUr9UUmMN0kL4rg+343R7WZZdyNwJPVmZU4zN9au0uih04fT4OFBqDft2vLFIkuhI/HikEr1aSXyU9pSk5U3NSmdqVjoLV+3lSEU9DpcXs0FNYbWDRJMubIPjtqS50ZeGzXcjHSNGRuKMWvqlx2LSq8+6ZqvinP9eyM6vltIyo7SqoNTTU4XYgyq/sh6Xx4tJr0GvUVFudXK8xo5Rq2JrXhWDMxMiPhuB7RVKax1o1eGV/nqkmNhXYqV7irHR72hycjLJyU07k2K07Wx6ZluD1+vlrrvu4tZbb+X8888P2b9r1y48Hg8XXBAs4KLVaunfvz/bt2+Xtm3fvp1u3bqFqHAOHjwY8KcUyo6VjMypJzc3l5kzZzJu3DgeeuihRgWGZMJTXFzMG2+8weTJkxsVlPo90yrH6sYbbyQ/P5+//e1vPPzww4C/YZsgCCiVSp588kkmT57clnb+Tjg1HnXDJp5qpQKL24vT45XSAAMX8GJanyjXHc55asypEB0JQRCoqHPRs725zRdZgamIB0qtuD0+1EoFeo2KjvFR1Nhb1uD4VCHWfek1Kkx6dTOiPApJHXJlThFHK2xcHqY+S+b0ENgPbtHqfRRbHNTY3afUsfq1DhO0ahUuj5djVTYKqmw43V7axxow6fXsL6mN+Ixn51cTa9RisbkYkhlPbomVHinB0fCdhRZW7jyOxeaCBONJf0fFBsHAOd8g+LXXXiM/P59vv/027P7jx48D0L59+5B97du3Z+PGjUFjI40D/0IlHE6nE6fz175vtbW1zb8Bmd8lCo2e+LG3h2yT8bNhwwZ8Ph8vvvhiUDugNWvWnEGrTj8XX3wxdrsdrTZyfXgkiouLWbBgAZ06dZIdqwi0uo/Vww8/zB//+EeWL1/OoUOH8Pl8dO7cmSlTpnDeeee1pY2/C3qkmCiosoUsftqa7PxqYgx+5S+3V2DD/nLijBr6pf8a0RKdliititwSKwdLrS1edKXHGzlYVodK6Zcjb6vUoMB0OaNWzcqcYvIrbZj0akx6DZP7p5JbYuWaC9JOS2SloYBGQ8SeVyA0WfcVmFroX1jb8fqEsIqCMm1Dw1rBhgS+QEg26ymzOk+Z2mTDa4p1mMlmPYfL67A6PehUChQKBd2STRi16ogNxQMdwuz86rDNx7Pzq6moc+J0+8ivbH0fsMDz/RYaBFdWVvLoo4/yyCOPRKwlFmvOdLrQ+kq9Xh9Uk2a32yOOCzxXQxYtWsSCBQtabL/M7xelRodp4BVn2oyzlrKyMoCQXoutcTDOZZRKpfT352yhvr6+zcWnzhStL34BOnbsyD333MO//vUvXn31Ve677z7ZqWolYvpPpIVSW5GVEUdWRhznd4jB5vJKPZhmXZQpLYbE+qlv9vwqDtESxAVWkkmHSa9Go1JKkbGTJVAlMNbodxC7JZtINOm5a0wX6l1e7G5fkPT6qWTt3lIKqu28uTGPnYWWkP1ZGXF0S46mW7KpyWhV37RY6XPIyogjI8GAIAgYtcqw5z5T7Cy0sOSH8Pd7rtGwH1tj3Dw8kxuHZnDz8NMjzDCpXypxJ1L5NCoFJp0ao04tKUzaXJ6Iz1TDZymcSl9WRhz902NJidEzuf/Jp+pGus65xt/+9jfi4+ND6qoCEaX0AyNKIg6HI0hq32AwRBwXeK6GzJ07l5qaGulHVtqV+S1RVFTELbfcQmpqKjqdjszMTP785z/jcrmkMUeOHGH69OnEx8djNBoZOnQoq1atCjrPhg0bUCgUfPLJJyxcuJC0tDT0ej2XXHIJhw4dksZ16tSJxx57DIDExEQUCgXz588HYNSoUSG1RoWFhUyePJmoqCiSkpK45557wn6PAbZu3cq4ceOIiYnBaDQycuRIfvjhh6Ax8+fPR6FQcOjQIWbOnElsbCwxMTHMmjUrbIP79957j8GDB2M0GomLi+Piiy8Oiax9/fXXjBgxgqioKEwmExMnTmTPnj2NT3zAnAXWlI0aNYo+ffqwd+9eRo8ejdFopEOHDkGN7Dds2CDV8M6aNQuFwv+iL7BJcEvmYu/evVx//fXExcUxfPhwnn32WRQKBfn5+SE2z507F61WS3W1/9/qjRs3Mn36dDp27IhOpyM9PZ177rmnWUJLFRUV5Obmhp33tqDVESuRuro6qqurwxaGdezY8WRP/7vBn/oVXOt0KhDfhi/5IU9KL9pRYAnqNSXakmzW4fL46JFiCimUb+xNv/iWfFpWmuTgtNViK7DfliiUkZ1fzZ1junCw1MravaXo1Eq6JUdWOGtLxvZK5s2NeREV/Fqrgtc3LZZJ/TqwYX85IJxVNSvhmkOfzc1gGz6rgb+3RP79dCsa9k2L5XB5nSTK0qdDLN2So4kxahFwNzsyFMnuvmmx/PWy7m0mf3+uKT6G4+DBg7zxxhu88MILQSl6DocDt9vN0aNHMZvNUhqfmBIYyPHjx0lN/dVRbd++PUVFRWHHAUFjA9HpdGEjXTIy5zrFxcUMHjwYi8XC7Nmz6dGjB0VFRSxbtgybzYZWq6W0tJRhw4Zhs9mYM2cOCQkJvPvuu1x55ZUsW7aMq6++OuicTz31FEqlkvvuu4+amhr+8Y9/cMMNN7B161YAXnjhBf7zn//w+eef8+qrrxIdHU3fvn3D2me327nkkks4duwYc+bMITU1laVLl7Ju3bqQsevWrWP8+PFkZWXx2GOPoVQqWbJkCWPGjGHjxo1SLaXINddcQ2ZmJosWLeKXX37hrbfeIikpiaeffloas2DBAubPn8+wYcN4/PHH0Wq1bN26lXXr1kmiOEuXLuWmm27i8ssv5+mnn8Zms/Hqq68yfPhwtm/fTqdOnVr8uVRXVzNu3DimTJnCNddcw7Jly3jwwQc5//zzGT9+PD179uTxxx/n0UcfZfbs2YwYMQKAYcOGtWoupk+fTteuXXnyyScRBIErrriCBx54gE8++YT7778/aKwoCBQX5/+36tNPP8Vms/HnP/+ZhIQEtm3bxssvv0xhYSGffvppo/f5yiuvsGDBglMm3tEqx8rhcLBgwQL+/e9/h+1jJeL1eltt2O+NvmmxYZX2ThVic9qqehdROnWQ0IMoMQ0K+nSIIcaoDbGrMVsD1QFrHZ42XXQ3rBcLXBS+uTEP5Yk3KKe6h1Xgtf8xre8p6c2UlRFHToGF0lqH1CD5bCDwJUBOgYVqm+uUiK60FQ2f1cDfAyO1ZzOxRi2juidKz5j4vDWVyigSadzp/JtzLlBUVITP52POnDnMmTMnZH9mZiZ/+ctfWLBgAWq1mp9//plrrrlG2u9yudixY0fQtv79+7N+/Xpqa2uDBCzEBZ9cpyDze2Pu3LmUlJSwdevWIAGYxx9/XHpJ/9RTT1FaWsrGjRulXm+33XYbffv25d577+Wqq65Cqfw16crhcLBjxw4prS8uLo6//OUv7N69mz59+jB58mR27NjB559/zrRp02jXrl1E+9544w0OHDjAJ598Igm03XbbbfTr1y9onCAI3H777YwePZqvv/4ahUIBwJ/+9Cd69+7N3/72t5Ao04ABA/j3v/8t/V5ZWcm///1vybE6dOgQjz/+OFdffTXLli0Lukdxburq6pgzZw633norb7zxhrT/pptuonv37jz55JNB25tLcXEx//nPf/jjH/8IwC233EJGRgb//ve/GT9+PMnJyYwfP55HH32UCy+8kBtvvPGk5qJfv3588MEHQduGDh3Kxx9/HORY/fTTTxw5ckSKMAI8/fTTQdH+2bNn06VLF+bNm8exY8fOaGCnVamAd9xxB//4xz8YMWIEzz33HG+//XbYH5mWcbpTaVJjDVx4XjxenxC2tsvqcLEut4zPfikkv7I+yK7m2CqqAy5ef+iUpI0FLgqz86vpGG9Eq1Zy24hTv1gOvLbYNPbtTeHT41qbOtc3LZZ+6bEMzkw45SmigTRlb9+0WFJjDRi16hMNrRWnzbbW0PBZPZdS1mYO68SQzHgm9f1V/EBM8wNYvP4Q+0usjaYyigqBgePEz7jG5mJbXiU5BZbfRGrnydKnTx8+//zzkJ/evXvTsWNHPv/8c2655RZiYmK49NJLee+994L6Ni5dupS6ujppMQYwbdo0vF5v0ELH6XSyZMkShgwZIisCyvyu8Pl8rFixgkmTJoWoagLSgnz16tUMHjw4qIF2dHQ0s2fP5ujRo+zduzfouFmzZgXVSonRlCNHjrTYxtWrV9O+fXumTZsmbTMajUEtE8Cv6Hnw4EGuv/56KisrqaiooKKigvr6ei655BK+//57fD5f0DG33x4sLjJixAgqKyslcZoVK1bg8/l49NFHg5wq+HVu1q5di8Vi4Q9/+IN0zYqKClQqFUOGDGH9+vUtvmfwz2+gs6TVahk8eHCz5rAt5gLg2muvJTs7m8OHD0vbPv74Y3Q6HVdddZW0LdCpqq+vp6KigmHDhiEIQpAqazjmz5+PIAinTGq+Va/BP/vsM2699VZef/31trbnd83pTKURnZ4dBTX0T48lxhhcvDmpXyoFVTbKrLV4vD4cbm+Qbc2xtbky460lXBrXnWMi94k6VddevP4QeRX1HCitI9GkC4moiUIbrZmD05UiGohf9r1x6f+sjDje3pRHndNDZ7P+lEcIT4aGz+q5lLIW2FJge0G59JnsLLScUCm0o1AoGNSp8RccokJgYMTLYnOzv8SKVq2i2uaSo1ZAu3btwiravvDCCwBB+xYuXMiwYcMYOXIks2fPprCwkOeee47LLruMcePGSeOGDBnC9OnTmTt3LmVlZXTp0oV3332Xo0ePBr25lpH5PVBeXk5tbS19+vRpdFx+fj5DhgwJ2d6zZ09pf+A5GkYoxJQxsSanJeTn59OlSxfJkRHp3r170O8HDx4E/JGiSNTU1Ei2NGWn2Wzm8OHDKJVKevUK7jkY7rpjxowJu79ha4fmkpaWFnLPcXFx7Ny5s8ljWzMXmZmh9crTp0/n3nvv5eOPP2bevHkIgsCnn37K+PHjg+7r2LFjPProo3z55Zchn3FNzZkV/GqVY6VQKBg4cGBb2yJzGhGdno7xxqAFl0jftFjG9krmYFkdNpenVWqFomz7qUiTE88Pv6ZFic5O4L5TRWC6o16jQqGAdtHBzqm4eD1QaqW01imJDrT0OmcmXatp6f/cEisqpSLE6T6XaG4q3ZlkZ6GFH49UUl3vIs6okZyqw+V12JxeYo2aRsVaAiN14j2K35WxvZLZeLDirEs3PRcYOHAg3377LQ8++CD33HMPJpOJW265hUWLFoWM/c9//sMjjzzC0qVLqa6upm/fvnz11VdcfPHFZ8Bymd8qXlsNxW/9OWhb6q2vojLGnCGLTh8qVfhefaeyMawYgXnmmWcipvRGRwfXe7eFneJ1ly5dSkpKSsh+tbp1f8tPxrbWzEU44Z7U1FRGjBjBJ598wrx58/jxxx85duxYUA2a1+tl7NixVFVV8eCDD9KjRw+ioqIoKipi5syZIZGx002rZv+qq67i22+/5U9/+lNb2yNzmmjo9IRbVNY6PKTFGbE6XOSWWE9bxKQliE7HypxiCqpsxJ6IvJ3OyF9Ggl8i1OH2Bjmg4uLV5fGhUir4fEcx9S4vk/qlNtu+M9EbKFD2PRJi6uWxKttZ0S+stZwLNUbZ+dVoVEp0GhWJJh3Z+dVU1btwun3oNEqSmpB/DxehC9xW6/BgsblPa7rpuUagelYgw4cPD1G8Coder+eZZ57hmWeeaWPLZGSC8dnP7n5niYmJmM1mdu/e3ei4jIwM9u/fH7I9NzdX2n+qyMjIYPfu3QiCEBTBaWhP586dAX+E6NJLL22Ta3fu3Bmfz8fevXsjOijidZOSktrsus2lYURLpC3n4tprr+WOO+5g//79fPzxxxiNRiZNmiTt37VrFwcOHODdd99lxowZ0va1a9ee1HXbilbVWD3yyCMcOXKE2bNnk52dTXl5OVVVVSE/Muc2WRlxxBk1VNW78QlCqyTTWyJn3RrEehkgJN3pdCBeP9GkC5HLF2thpmWl4fUJ6NVKDpQ2Xg/TEFG6PjXWcNoW/oFS3ZHIyojjws4J3DYik1qH56yvz4lUN3Yu1FsFtkgAMOvVaNVKTHo1fTrEMKlf6kmlYrblHPyWpPhlZGTaHqVSyeTJk1m5ciU///xzyH4xOjJhwgS2bdvGli1bpH319fW88cYbdOrUqdFUuZNlwoQJFBcXs2zZMmmbzWYLEYTIysqic+fOPPvss9TV1YWcp7y8vMXXnjx5Mkqlkscffzwk8iLOzeWXX47ZbObJJ5/E7Xa3yXWbi9hrymKxBG1vy7mYOnUqKpWKDz/8kE8//ZQrrrgiqMeVGFkLjKQJgsCLL77YrPOflXLrXbt2BWD79u2N5ojLqoBnN82RzS6tdaBTK7E6IvfMaYyWyFm3BtHWYosdk17NoE6nLx1QvEZDCe+GdE02MaJrO8qtThJNumbPxc5CCzkFFg6X19E5MfqsihgGyvaf7REfUbwhXDTzbK23apiiGDjXtQ4PQ89LkCJXxRZ7xGeqOamObTkH50IEUEZG5szy5JNPsmbNGqk+sWfPnhw/fpxPP/2UTZs2ERsby0MPPcSHH37I+PHjmTNnDvHx8bz77rvk5eWxfPnyEGGHtuS2227jlVdeYcaMGWRnZ9O+fXuWLl2K0WgMGqdUKnnrrbcYP348vXv3ZtasWXTo0IGioiLWr1+P2Wxm5cqVLbp2ly5dePjhh/n73//OiBEjmDJlCjqdjp9++onU1FQWLVqE2Wzm1Vdf5Y9//CMDBw7kuuuuIzExkWPHjrFq1SouuugiXnnllbacEonOnTsTGxvLa6+9hslkIioqiiFDhpCZmdlmc5GUlMTo0aN5/vnnsVqtXHvttUH7e/ToQefOnbnvvvsoKirCbDazfPnyZtfTnZVy648++mjEcKDM2UVz+k2J/w0nqe70+PD4BPp0iGl1P6bTodBn1KqJNWqktKbTubBravEq2tcv3SCpuTWH7Pxqqm1ubC7vWSsucCbENVpKOPGGs51w38fA72tWRhy7i2ooszr5/kA5BVU27hgdKtxyuh2dU/0iRUZG5tynQ4cObN26lUceeYT333+f2tpaOnTowPjx4yXnJTk5mc2bN/Pggw/y8ssv43A46Nu3LytXrmTixImn1D6j0cj//vc/7rrrLl5++WWMRiM33HAD48ePDxKmAX9j3S1btvD3v/+dV155hbq6OlJSUhgyZEiry2Uef/xxMjMzefnll3n44YcxGo307dtXkkEHuP7660lNTeWpp57imWeewel00qFDB0aMGMGsWbNO6v4bQ6PR8O677zJ37lxuv/12PB4PS5YsITMzs03n4tprr+Xbb7/FZDIxYcKEEBtWrlzJnDlzWLRoEXq9nquvvpo777wzRBL/TKAQTmVl3zlKbW0tMTEx1NTUtFpd5WxBfMsda9Q0uqgP5xwszy5gWXYhWrWSbsmmFtUGnU4aRotOpxiBGA3xCaBUEHZxu7PQcqIvGC2ur1qZUyxFus7G+Q+MBnVPMbXIcTxdnAsCFQ1pzGZxX06BhWNVNqrqXQw9LyHs/J+L9/5b+vvblsjz8tum00OrTvocXlsNhS/fELQt7a73g8Qrjj51ap0SGZnfKs39G9wmMlA1NTVER0dHVBT5vXMmFzdNvUEOtK3hoqzW4WFwZgLb8irJzq9md1ENcyf0POsWaOHS8U6neEWsUcuOAgv902MjNkwWJcxX5hQ327azNU0tkJU5xZRZHdTY3Vw/5Mw15GuMc2EeG9KYzf5nya8CmGTScXHXdsQYtWG/4+fivcvIyMjIyJyrtDpJ9eeff2bcuHEYjUYSEhL47rvvAH9R2FVXXRVRRen3yKkWcGiMpoQIVuYUs2F/mRRRCUQsak826ymtdVBQbQ877mzhTMxzVkYc3VNM3DYik+4ppogObLnVSWG1jXKr85TbdLoFBEx6batTRWVazoFSK7uLajlcXofd7aXe5W1SbERGRkZGRkbm1NMqx2rz5s0MHz6cgwcPcuONNwYpl7Rr146amhq5eXAAZ7/yWPh6ub5psWRlxJFo0hEfpSVKq2J3Uc1Zq/h1JuZZnKPaE+IekRa3iSYdaXEGEk26U27T6XIwxeegW3L0Wd0gOBLnqoKdy+MjWqfG6xMABeVWJ0t+yGN5dsE5eT8yMjIyMjK/FVqVCjhv3jx69uzJjz/+iNVq5a233graP3r0aN599902MfC3wNmcjtNUzyJReGHoeQlSn6izUUQBztw8i2l+xRZ7xOv3SDFRUGVrVaPllnK6BATElLRuyaaz8nkQiZQieq4q2E3LSmPt3lJ6pJiIMWopttjZX2JlR4GFjvFGth6pDFvrJyMjIyMjI3NqaZVj9dNPP7Fo0SJ0Ol1YvfoOHTpQUlJy0sbJnHqackbERbrYnFZW/PoVUVzixyOVaFSNB39zS6zY3T5yS6yn3K7T6WCW1DjIr/Q7jFOz0k/LNVtKJAfqXFCwC+cUTs1Kl+Z6eXYBnx2ppKLOKTVsjlTrJyMjIyMjI3NqaVUqoEajCWlcFkhRURHR0dGtNkrm7EGs0YLTq7Z3LpCdX82B0jo0KgVJJ1T7Gue3JcA5qV8qCoWCKJ2atXtLz7Q5EYmUItqcRshnmqbSOtfuLaXW7kGpUBBn1DKudzIWmwuzvk10iWRkZGRkZGRaQKscq6FDhwZ1pA6kvr6eJUuWMHLkyJMyTObs4u1Neby18QgPf75LruE4QVZGHN2So8nKiOeO0V0AIta4TOqXyqjuSa2qRTpba4H6psVy24hMzHo1eo3qrLNP5FxwoCLRVN1gjxQTKKBLUjR3jO5CjFFL9xQztQ7PabZURkZGRkZGplWO1YIFC/j555+ZOHEiX3/9NQA5OTm89dZbZGVlUV5eziOPPNKmhsqcWUprHf5GtfWuM6JueDbSNy2Whyf24uGJveibFttodEEUucjOr26xA3ImVSWbYmpWOslmPbuKanh7U96ZNuc3R1NOYYxRy+T+HRjVPYm+abGY9Wr2l9TKESsZGZlzEovFwuzZs0lMTCQqKorRo0fzyy+/NPt4n8/Hq6++Sv/+/TEYDCQkJDBmzBhycnKCxi1cuJArr7yS5ORkFAoF8+fPb/Y1Nm/ezPz587FYLM0+5mQpKirimmuuITY2FrPZzFVXXcWRI0eadeyTTz7J0KFDSUxMRK/X07VrV+6++27Ky8uDxuXm5vLAAw/Qv39/TCYT7du3Z+LEifz888/NtnHixImYzWZ69erFypUrQ8Z89tlnJCUlUVNTE/E8K1euRKlUnrMlRa1yrIYMGcLq1as5dOgQM2bMAOCvf/0rs2fPxuv1snr1avr27dumhsqcWYZkxmM2aOicFI1Zrz4rIyhnmqaiC611kM52VcnSWgcer0BpreNMm/K7Q3w2xO9kbolVjljJyMick/h8PiZOnMgHH3zAnXfeyT/+8Q/KysoYNWoUBw8ebNY5br75ZubMmUNWVhYvv/wyjz76KB07dqSsrCxo3N/+9jd++uknBgwY0GI7N2/ezIIFC06bY1VXV8fo0aP57rvvmDdvHgsWLGD79u2MHDmSysrKJo/Pzs6mf//+PPzww/zrX//iqquuYsmSJQwbNoz6+npp3FtvvcWbb77JBRdcwHPPPce9997L/v37GTp0KN9++22T17nppps4cuQITz/9NAMHDmT69OkcPXpU2u9wOLjvvvt44okniImJiXieVatWkZWVRUpKSpPXPBtp9WvNMWPGsH//fnbs2MHBgwfx+Xx07tyZrKwsFIrw8t0y5y4xRi0XnpeAxebiy5xiCqvt5BRYeOG6lv9R+q3SXCGQljpIZ7OqJPyqUje2V/KZNuV3h/hcLFq9D6fHR8d4I4kmsLk87Cy0nNXPjYyMTNuiUOuIuegPIdvOFZYtW8bmzZv59NNPmTZtGgDXXHMN3bp147HHHuODDz5o9PhPPvmEd999l88++4yrr7660bF5eXl06tSJiooKEhMT2+weTgWLFy/m4MGDbNu2jUGDBgEwfvx4+vTpw3PPPceTTz7Z6PHLly8P2XbhhRcybdo0Vq5cyXXXXQfAH/7wB+bPnx+kkXDzzTfTs2dP5s+fz6WXXhrxGna7nXXr1rFhwwYuvvhibr/9djZv3sx///tf/vSnPwHw7LPPEhMTw6233tqovatXr+bmm29udExzqK+vJyoq6qTP01JOOl+kf//+9O/fvw1MkTlb2VloIafAwsaDFfgEHzaXF61KyWGt6kybdk5xtjtIrSVQpU7m9LMyp5hjVTYUCoXktB8orWNlTvFv8nmTkZEJj1KrJ3b4DY2O6fTQqtNiy9GnJrb4mGXLlpGcnMyUKVOkbYmJiVxzzTW89957OJ1OdLrIjuLzzz/P4MGDufrqq/H5fNjt9ogL606dOrXYPoD58+ezYMECADIzM6XtoqPm8XhYtGgR77zzDoWFhbRv357rr7+exx57rFHbG2PZsmUMGjRIcqoAevTowSWXXMInn3zSpGMVDvH+A6NuWVlZIeMSEhIYMWIEGzZsaPR8DocDQRCIi/P/G6RQKIiNjcVmswH+NMGnnnqK1atXo1RGTpbbtWsXBQUFTJw4kbq6OpKTk7n11lt58cUXg8YVFhaSkZHBE088wdy5c3nnnXeYNWsWGzZs4OOPP2bZsmW43W6qq09/CUWrUgFlfl9k51dTbXPj8fpwuH0oUaBVq+icKCs/ypy94hq/F8qtTgDijBom9Uul3OqksNombZeRkZE5F9i+fTsDBw4MWXgPHjwYm83GgQMHIh5bW1srRXTmzZtHTEwM0dHRnHfeeXzyySdtZuOUKVP4wx/8UcF//vOfLF26lKVLl0pRr1v/v737Dovi+voA/h06SEcQEEUsaKyIInY0dtHYwB5r1EhssSNR0WDFGv3ZYgJGiSWWWKOgYjf2EmNXQFAQpav0Pe8fvDthXVBYyu7C+TwPT7J37syeGXdn58y9c+8332DevHlwdnbG6tWr4ebmhiVLloitQoUlkUhw9+5dNG3aVG5Zs2bN8OzZM6SkfH4aFyLC27dvERMTg/Pnz2PSpEnQ1NREu3btPrtuTEwMKlas+Mk6ZmZmqFGjBhYvXoywsDAEBQXh9u3baNasGQBg5syZ6NatG9q2bfvJ7Rw7dgxWVlZo2rQpDA0N0adPH+zevRvZ2dky9Xbu3AkiwpAhsjcSvLy8cP/+fcybNw+zZ8/+7L6VBH7CmX1WE3szvEpMRUpaBiLiPkBPWxMu1cwxqrXD51dmZZ66TrRbFtyNSsSzN+8gCAJqWBqioZ0pLI10YWdmAEsj9ekCxBhj0dHReV5429jYAABevXqFBg0a5Lnus2fPQETYtWsXtLS0sHz5cpiYmGDt2rUYOHAgjI2N0bVr1yLH2LBhQzg7O2Pnzp3o3bu3TMvXnTt3sG3bNnzzzTf4+eefAeRc6FtZWWHFihUIDQ1F+/btC/V+8fHxSE9PF49BbrmPS+3atT+5ndevX8tsw87ODr///jvq1KnzyfXOnz+Py5cv44cffvhsrFu2bIGHhwd27doFAJgyZQpatWqFS5cu4cCBA3jw4MFnt3H06FF069ZNfKRo2LBhCAoKQkhIiMy/344dO9C2bVtUrVpVZn1zc3OcOnUKmprK61HFLVbss6Sj3/VsVBn2FhWgp60JSyNdvohmAGQH1+DWq9J1IyIB2poa0NXKOZUHXAxDHWsjtKttqdDQ/owxpiypqal5dpfT09MTl+fn3bt3AIC4uDgcPHgQ48ePx+DBg3Hq1ClYWFjAz8+vZILO5dixYwCAqVOnypRPmzYNQE7SUFjSfVb0uEiZm5sjJCQEhw8fxsKFC1GxYkXxmOUnNjYWgwcPhoODA2bOnPnZ9/jyyy/x4sUL/P3333jx4gVWr14NiUSCSZMmYdq0abC3t8fGjRtRp04d1K5dG5s2bZJZPzExEZcvX4a7+3/dSDt27AhbW1sEBQWJZffu3cPdu3cxdOhQuRjGjBmj1KQK4BYrVghN7M0Q/G8MTPS1lR0KU0E7r0Tg1MM3cKhoAABqk3jfjUpU28mvpa3JUokfMgFAnNSbMcZUSUZGBuLj42XKLC0toampCX19faSny3dhTkvLGXFWX18/3+1Klzk4OMDV1VUsNzQ0RM+ePbFjxw5kZWVBS6vkLnsjIiKgoaGBmjVrypRbW1vD1NQUERER+a6bmpoqNwS5tbW1uF+KHhcpHR0dcfCJHj16oEOHDmjVqhWsrKzQo0cPufrv379Hjx49kJKSggsXLsgMaPEphoaGMsc/ICAAMTExmD17Nk6ePIkZM2Zgx44dEAQBgwcPRu3atcVWvBMnTgAAOnfuLK6voaGBIUOGYOPGjfjw4QMMDAwQFBQEPT09eHp6yr1/7ufelIVbrNhnSVshAMC7+xfo2ciW74bnoTy21tyNSsSG0Kd4FJOCUw/fgIgQ9vaDyg4NnxdVnifsc/5rTc55turI3VfYfzMK+25EKjs0xhiTc+nSJdjY2Mj8RUbmnK9sbGwQHR0tt460zNY2/+sO6bJKleRHp7WyskJmZqbM0OIlSZGRsXfv3i13XICcliZdXV2Fj0t+WrZsCRsbG5mWIKmMjAz07dsXd+/excGDB1G/fv1Cbx/Iee7Nx8cHS5cuRYUKFbBz5054eHigd+/e6NWrFzw8PGTe/9ixY2jVqpXcUOzDhg3Du3fv8Oeff4KI8Pvvv6NHjx55DtlekCSzpHGLFfus3Been5qstLwrj88a3YhIgKmBDhI/ZKBDHUtceh6PahYGyg6rUBQdBl+VSAeYeZuSDg0NAXtvRPFIjYyVM9mpKXgdNEumrNKQZdDUN1JSRPIaNWqEkJAQmTLpfEVOTk44f/48JBKJzAAWV65cgYGBARwdHfPdrq2tLaytrfHy5Uu5Za9evYKenh6MjIrnOOSXONnb20MikeDJkyf44osvxPLXr18jMTER9vb2+W6zS5cucscFyGmxadCgQZ6T9F65cgXVq1dXeL/S0tLkWskkEgmGDRuGU6dOYc+ePXBzc1No2wCwcOFCODg4iANMvHr1SmbeMFtbW9y+fRtAzuAax48fx/Tp0+W2U79+fTRu3BhBQUGws7PDixcvsG7dOoXjKmkFSqw0NDQUysA/HsWDqafcF553oxLx64UwvE5Og0cTO754y6UsXKAXlnRfpd3oAi6GqV1yWRaGwZd2CYxK+ID0zGxUMtZTdkiMsdJGEmTGvZArUyVmZmb5zofk4eGBvXv3Yv/+/eI8Vm/fvsUff/yBnj17yjxn9OzZMwBAjRo1xLIBAwZg7dq1CAkJQadOncT1Dx48iC+//PKTw3wXhnQI948nCO7evTvmzJmDNWvWYPPmzWL5qlWrAEDm2aGP5W6l+piHhwdmz56N69evi6MDPnr0CKdPn5ZLRB4+fAgDAwNxUIf3799DEAQYGMje8Ny3bx8SEhLkRhucOHEidu/ejc2bN8sMe19Yjx8/xvr163Hu3Dkxf6hUqRIePnwo1nnw4IGYVF+7dg2xsbH5HqOvv/4aM2fOhK6uLiwsLNCtWzeFYytpBUqs5s2bJ5dYHThwAP/++y+6dOkijkby8OFDBAcHo379+ujdu3exB8uUI/eFZ8DFMPzzMglZ2RKE3H/NiVUuZeECvbA+3mdjPS0E/xuDSsZ6PEFtKfr4OHNXXcaYuvHw8EDz5s0xcuRI3L9/HxUrVsSGDRuQnZ0tzh0l1aFDBwBAeHi4WObt7Y09e/agX79+mDp1KkxMTLBp0yZkZmbKzfW0fft2REREiPMsnTt3Thzg4uuvv/5k65J0vicfHx8MHDgQ2tra6NmzJxo1aoThw4djy5YtSExMhJubG65evYpt27ahd+/ehR4RUMrLyws///wz3N3dMX36dGhra2PVqlWoVKmSODCG1BdffAE3Nzdx3qknT56gY8eOGDBgAOrUqQMNDQ1cv34dO3bsQLVq1TB58mRx3TVr1mDDhg1o0aIFDAwMsGPHDplt9+nTp8AT7n7//fcYMGCAONw6kPPv26tXL8yZMwcAcPjwYRw5cgRAzsAe1apVQ926dfPc3uDBgzFz5kwcOHAA48ePh7a26j7rX6DEytfXV+b1li1bEBsbi3v37skN8fjgwQN8+eWXCvX5ZKrtblQiXiWmws5MHxlZEnSqK9+XmZVvyWlZ0NHSRMKHDLVqtSoLbkQkwEBHC6YG2nzcGWNqR1NTE8eOHcOMGTPw008/ITU1FS4uLggMDPzscOJATovIhQsXMH36dKxevRqZmZlo0aIFduzYgUaNGsnU/eWXX3D27FnxdWhoKEJDQwEArVu3/mRi5eLigh9//BGbNm3C8ePHIZFIEBYWhgoVKmDr1q2oXr06AgMDceDAAVhbW8Pb2xvz589X8KgARkZGOHPmDL7//nv4+flBIpGgXbt2WL16tTh/Vn7s7OzQr18/nD59Gtu2bUNmZibs7e0xYcIE+Pj4wMLCQqwr7ZZ3+fJlXL58WW5b0n38nGPHjuHcuXNy84716NEDixYtwrp160BEWLJkidjydOzYMXTv3j3fbVaqVAmdO3fGsWPH8PXXX382BmUSiIgKu1KtWrUwcuRIMev82KJFixAYGIgnT54UOUBlSE5OhomJCZKSkmBsbKzscFSGtJuXqYE2jzrG8nQ3KhGH77wCkNNqwhf4pUedRzfMjc+/eePjUrZVm134obg/lv0hCVHrZCdMtZsYBE0D+Yf8S1r40vy7vTGWm3SOrSNHjnwyuerTpw/++ecfPH36tBSj+09Bz8EKdTiNior6ZDOctrY2oqKiFNk0U2HGelq4GhaHO5GJ5WrkO1Y4tqb6nFQpQUM7U/E5P/5+Kubff/+Fp6cnqlevDgMDA1SsWBFt27bF4cOH5eo+ePAAXbt2haGhIczNzfH111/jzZs3cvUkEgmWL18OBwcH6OnpoWHDhti5c2dp7A5jjKm8pKQkzJs375NdJaOjo3H06FGVb60CFEys6tevjw0bNuQ5+kpUVBQ2bNiQ7+zYTH193M2LsY/diEjAo5gUbAh9yhf3SqDOQ8ergoiICKSkpGD48OFYu3Yt5s6dCwD46quvsGXLFrFeVFQU2rZti6dPn2Lx4sWYPn06jh49ik6dOiEjI0Nmmz4+Ppg1axY6deqEdevWoWrVqhg8eDB27dpVqvvGGGOqyNHREb6+vnkOlR4WFoYdO3Zg0KBB0NbWxrhx45QQYeEoNNz66tWr0aVLFzg6OqJPnz7iZGhPnjwRx5n/+KE3pv5yT0Zanka+Y5+Wu/tfHWsjRMS9R3qWBIfvvOJWq1JWHkemLE7du3eX64oyYcIENGnSBKtWrcLYsWMBAIsXL8b79+9x48YNcfStZs2aoVOnTggMDBTrvXz5EitXrsR3332H9evXAwC++eYbuLm5YcaMGfD09ISmpmYp7iFjjKmPs2fPYuTIkahatSq2bdsmjiKoyhRqsWrdujWuXLmCzp0748CBA1i4cCEWLlyIP//8E126dMGVK1fQunXr4o6VKVlDO1NxtLHDd15xiwQDkNNK8vj1Ozx+nYLktCxUMtZDUmom3qTIzxTPSk5ZecZK1WhqaqJKlSoyQyvv27cPPXr0EJMqAOjYsSMcHR2xZ88esezgwYPIzMyEl5eXWCYIAsaPH4+oqKg8HxBnjDGWY8SIESAiREREiEPwqzqFJwiuX78+Dhw4AIlEIvYrt7S0LLZ5Aphqkl5EA8SjvuVSni9qP27JvBOZqNyAyqnyOEF1SXn//j1SU1ORlJSEQ4cO4a+//sKAAQMA5LRCxcbGys3/AuS0Wh07dkx8fevWLVSoUEFmslBpPelyvgnJGGNlh8KJlZSGhgb09PRgaGjISVU5wN0B81aeL2qlc1lJk8uEDznPmLyIf49vt19Hp7qVeL6zUsDdAIvPtGnTxAk+NTQ00LdvX7ErX3R0NADkOZmnjY0N4uPjkZ6eDl1dXURHR6NSpUpy80BK13316lW+MaSnpyM9/b9W3+Tk5KLtFGOMsRKncCZ0/fp1dO3aFQYGBrCwsBDnA3j79i169eolTk7GypaGdqbwca8LH/e65S6B+JQm9mYwNdAu1xe10uQy/n1OYhWdlIaED5kIuf9ayZGVDw3tTDGylQN/L4vBlClTEBISgm3btqFbt27Izs4WB6VITc25saSrqyu3np6enkyd1NTUAtXLy5IlS2BiYiL+VanCNycYY0zVKZRYXbp0Ca1bt8aTJ08wdOhQSCQScVnFihWRlJQk3u1jrDzgi9r/kssaloawM9OHjUnOs1Z1rI2UHRpjhVKnTh107NgRw4YNw5EjR/Du3Tv07NkTRCSOXJW7NUkqLS0NAMQ6+vr6BaqXF29vbyQlJYl/kZGRRd4vxhhjJUuhxGrOnDn44osvcP/+fSxevFhuefv27XHlypUiB8cYU313oxIRcDEMADCylQNGtXZAu9pWMNLTRma2BOFxH5QcIWNF4+HhgWvXruHx48diNz5pl8DcoqOjYW5uLrZS2djYICYmBkQkVw8AbG1t831PXV1dGBsby/wxxhhTbQolVteuXcPIkSOhq6sr13ccACpXroyYmJgiB8cYU325ny+TPmdlrKeFiLgPeJ+ehdfJacoOkbEikXbZS0pKQuXKlWFpaYnr16/L1bt69SqcnJzE105OTvjw4QMePHggU0964zF3XcYYY+pPocRKW1tbpvvfx16+fAlDQ0OFg2KMqY/cz5dJJwj++XwYKhnrwdRABx5N7JQdImMFEhsbK1eWmZmJ3377Dfr6+qhbty4AoF+/fjhy5IhM97xTp07h8ePH8PT0FMt69eoFbW1tbNiwQSwjImzatAmVK1dGy5YtS3BvWHkjaGrDsLG7zJ+gqa3ssBgrVxQaFbB58+bYu3cvpkyZIrfs/fv3CAgIgJubW1FjU2vlefhtVr5IRwUEgCevU3A7MhEm+lowM9CGj/sX/PlnamPcuHFITk5G27ZtxZ4XQUFBePjwIVauXCneMJwzZw7++OMPtG/fHpMnT8a7d+/g7++PBg0aYOTIkeL27OzsMGXKFPj7+yMzMxMuLi74888/cf78eQQFBfHkwKxYaegawKLzeGWHwVi5plBitWDBAri5ucHd3R2DBg0CANy5cwfPnz/HihUr8ObNG8ydO7dYA1U35Xn4bVZ+JadlwamKKRI/ZKBT3Uo4fOcVDt95hZ6NbPl7wFTegAED8Msvv2Djxo2Ii4uDkZERmjRpgmXLluGrr74S61WpUgVnz57F1KlTMXv2bOjo6MDd3R0rV66UGwVw6dKlMDMzw+bNmxEYGIhatWphx44dGDx4cGnvHmOMsRIm0MdP1RbQ6dOnMX78eDx58kSmvEaNGti6davCLVbp6emYN28etm/fjoSEBDRs2BB+fn7o1KnTZ9c9efIkFi1ahH/++QdZWVlwdHTExIkT8fXXXxcqhuTkZJiYmCApKUnhB4a5xYqVR7mfsQq5/xoPolPwLj0LbWpVxJqBjZUdXplVls43xXH+LYv4uJRt1WYfVXYIxSp8qbuyQ2CsWBX0HKzwBMFffvklHj16hNu3b+PJkyeQSCSoUaMGmjRpkueAFgU1YsQIsZthrVq1EBgYiO7duyM0NPSTM9QfOnQIvXv3RosWLeDr6wtBELBnzx4MGzYMb9++xffff69wTIrI3T2KsfJC+rkPuBgGUwMdJKdlQldLgwewKGHcQs4YY4wpn8ItViXh6tWrcHV1hb+/P6ZPnw4gZ76P+vXrw8rKCpcuXcp33c6dO+Pff//F8+fPxa4YWVlZqFOnDipUqIA7d+4UOI6i3hksS3ePGVPEvhuRCLn/GhIivIhPReMqJnC0NubvRAkpS+ccbpnJGx+Xso1brBhTbQU9Bys0KqCGhgZsbGxw7ty5PJcr+lDu3r17oampibFjx4plenp6GD16NC5fvvzJCRKTk5NhZmYm079dS0sLFStW/OQkjCUh991jxsqjhzEpSM3MRnRSGioZ6yI87gN/J0oQT1DNGGOMKZ9CiRWQ05LUsWNHrF27ttiCuXXrFhwdHeUywWbNmgEAbt++ne+67dq1w7///ou5c+fi6dOnePbsGX788Udcv34dM2fOLLYYCyL38NOMlUdvUtIRlZCK+PcZeBr7DrEp6fiQkcXfCcYYKyGStHeI+X22zJ8k7Z2yw2KsXFH4Gas1a9bg6tWr+P7773H9+nX8/PPP0NPTK1Iw0dHR4qz2uUnLXr16le+6c+fORVhYGBYtWgQ/Pz8AgIGBAfbt24devXp98n3T09ORnp4uvk5OTlYkfBE/X8XYf9IyJTDU1YKtqT5/LxhjrISQJBvpkffkyhhjpUfhFittbW3873//Q2BgIPbv349WrVrhxYsXRQomNTVVbqhaAGLClpqamu+6urq6cHR0hIeHB3bu3IkdO3agadOmGDp0KP7+++9Pvu+SJUtgYmIi/lWpUqVI+8FYeWdppAs7M32YV9BBRUNtJKdl4k5kIu5GJSo7NMYYY4yxEqFwYiU1bNgwXLx4EYmJiWjSpAlOnTql8Lb09fVlWo6k0tLSxOX5mTBhAg4fPoxdu3Zh4MCBGDJkCE6ePAkbGxtMnjz5k+/r7e2NpKQk8e9Tz3IV1N2oRARcDOMLSVYu9Wxki3a1rdChjhUEQQPGetpI+JDBz1gxxhhjrMwqcmIFAE5OTrhx4wZcXFzQtWtX/PLLLwptx8bGBtHR0XLl0jJbW9s818vIyMAvv/wCd3d3aGj8t0va2tro1q0brl+/joyMjHzfV1dXF8bGxjJ/RcUDWLDyTDqYgomBDqqaGyAtSwIzAx1+xooxxhhjZVaxJFYAYGpqiqNHj2LOnDk4e/asQttwcnLC48eP5Z5xunLlirg8L3FxccjKykJ2tnxf4szMTEgkkjyXlSQewIKxnO+BhgBYG+vhYUwKnrxOUXZIjDHGGGMlQqHEKiwsDL1795YrFwQBCxYswJ07d3D69OlCb9fDwwPZ2dnYsmWLWJaeno6AgAC4urqKzz69ePECDx8+FOtYWVnB1NQUBw4ckGmZevfuHQ4fPow6deqU+pDrPPwxYznfA6/2NZGUmglNDQEh918rOyTGGGOMsRKh0KiA9vb2n1xev359hYJxdXWFp6cnvL29ERsbi5o1a2Lbtm0IDw+X6V44bNgwnD17FtK5jTU1NTF9+nT88MMPaN68OYYNG4bs7Gz88ssviIqKwo4dOxSKhzFWdA3tTDGmjQNC7r9Gp7qVlB0OY4wxxliJKFBitXDhQgiCAB8fH2hoaGDhwoWfXUcQBMydO7fQAf3222+YO3cutm/fjoSEBDRs2BBHjhxB27ZtP7mej48PHBwcsHbtWixYsADp6elo2LAh9u7di379+hU6DsZY8bgblYjktCx4ta/JLbiMMcYYK7MEkjb7fIKGhgYEQUBqaip0dHRkBojId8OCUOrPNRWX5ORkmJiYICkpqVgGsmCsPFt09D4ev34Hx0qG8HGvq+xwmIrj82/e+LiUbdVmHy3yNrI/JCFq3RCZMruJQdA0MCnytgsrfKl7qb8nYyWpoOfgArVYSSSST75mjLFP++z9G8YYY4wxtabQM1bs0+5GJeJGRAKa2Jtx1ydW7vVsZCt+H1QNf1cZY4wxVlw4sSoBueew4os1Vt41tDNV2e8Bf1cZY4wxVlwKlFg5ODhAEIRCbVgQBDx79kyhoNRdE3szlb1Dz1hpU+VWIf6uMsYYY6y4FCixcnNzK3RiVZ6p8h16xkqbKrcK8XeVMcYYY8WlQIlVYGBgCYdRtqjyHXrGShu3CjHGWMkTNLVgULuVXBljrPTwN64EqPIdesZKG7cKMcZYydPQrQDL3t7KDoOxcq1IiVVmZiYePnyIpKSkPIdg/9ykvmUV36FnjDHGGGOsfFEosZJIJPD29saGDRvw4cOHfOup6wTBRcV36BljjDHGGCtfNBRZafHixfD398fQoUPx22+/gYiwdOlSbNq0CQ0bNkSjRo1w4sSJ4o6VMcYYY4wxxlSSQolVYGAg+vfvj40bN6Jr164AgCZNmmDMmDG4cuUKBEHA6dOnizVQxhhjjDHGGFNVCnUFjIqKwsyZMwEAurq6AIC0tDQAgI6ODoYOHYpVq1Zh8eLFxRQmY0zV8WiYTN1du3YN27ZtQ2hoKMLDw2FhYYHmzZvDz88Pjo6OMnUfPHiA77//HhcuXICOjg7c3d2xatUqWFpaytSTSCRYsWIFNm7ciOjoaDg6OsLb2xuDBg0qzV1jCqo2+6iyQ2CMqRGFEisLCwu8e/cOAGBoaAhjY2M8f/5cpk5CQkLRo1NTfIHJyiMeDZOpu2XLluHixYvw9PREw4YNERMTg/Xr18PZ2Rl///036tevDyDn5mLbtm1hYmKCxYsX4927d1ixYgX++ecfXL16FTo6OuI2fXx8sHTpUowZMwYuLi44ePAgBg8eDEEQMHDgQGXtKiuDJOnvEffXTzJlFt0mQUO3gpIiYqz8USixaty4Ma5duya+bt++PdasWYPGjRtDIpHgp59+QqNGjYotSHXDF5isPOLRMJm6mzp1Kn7//XeZxGjAgAFo0KABli5dih07dgDIec74/fv3uHHjBqpWrQoAaNasGTp16oTAwECMHTsWAPDy5UusXLkS3333HdavXw8A+Oabb+Dm5oYZM2bA09MTmpqapbyXrKyi7Cx8eHRRpsy8s5eSomGsfFLoGauxY8ciPT0d6enpAIBFixYhMTERbdu2hZubG5KTk7Fy5cpiDVSdNLE3g6mBNl9gsnKloZ0pRrZy4JsJTG21bNlSJqkCgFq1aqFevXp48OCBWLZv3z706NFDTKoAoGPHjnB0dMSePXvEsoMHDyIzMxNeXv9d3AqCgPHjxyMqKgqXL18uwb1hjDFW2hRqsfrqq6/w1Vdfia/r1q2LZ8+e4cyZM9DU1ETLli1hbm5ebEGqGx5unTHGygYiwuvXr1GvXj0AOa1QsbGxaNq0qVzdZs2a4dixY+LrW7duoUKFCvjiiy/k6kmXt27dugSjZ4wxVpqKNEFwbiYmJujVq1dxbY4xxhhTuqCgILx8+RILFy4EAERHRwMAbGxs5Ora2NggPj4e6enp0NXVRXR0NCpVqgRBEOTqAcCrV6/yfd/cvUIAIDk5ucj7whhjrGQVKbHKzMzEy5cvkZCQACKSW+7s7FyUzTPG1AQP2MLKoocPH+K7775DixYtMHz4cABAamoqgP9GxM1NT09PrKOrqyv+91P18rNkyRIsWLCgyPvAGGOs9CiUWCUmJmL69OkICgpCRkaG3HIigiAIyM7OLnKAjDHVxwO2sLImJiYG7u7uMDExwd69e8VBJvT19QFApjVJSjrtiLSOvr5+gerlxdvbG1OnThVfJycno0qVKgruDWOMsdKgUGI1YsQIHD58GAMHDoSrqytMTEyKOy7GmBrhEQFZWZKUlIRu3bohMTER58+fh62trbhM2o1P2iUwt+joaJibm4utVDY2NggNDRVvNuauB0Bmux/T1dXNs7WLMcaY6lIosQoODsakSZOwevXq4o6HMaaGeMAWVlakpaWhZ8+eePz4MU6ePIm6devKLK9cuTIsLS1x/fp1uXWvXr0KJycn8bWTkxO2bt2KBw8eyGznypUr4nLGGGNlh0LDrVtYWKBmzZrFHQtjTI3djUpEwMUw3I1KVHYojCkkOzsbAwYMwOXLl/HHH3+gRYsWedbr168fjhw5gsjISLHs1KlTePz4MTw9PcWyXr16QVtbGxs2bBDLiAibNm1C5cqV0bJly5LbGcYYY6VOoRarsWPHYteuXRg/fjw0NBTKzRhjZQw/Z8XU3bRp03Do0CH07NkT8fHx4oTAUkOHDgUAzJkzB3/88Qfat2+PyZMn4927d/D390eDBg0wcuRIsb6dnR2mTJkCf39/ZGZmwsXFBX/++SfOnz+PoKAgnhyYMcbKGIUSq7lz5yI9PR1NmzbF119/DTs7uzx/IPr27VvkANURj5DGyiN+zoqpu9u3bwMADh8+jMOHD8stlyZWVapUwdmzZzF16lTMnj0bOjo6cHd3x8qVK+Wei1q6dCnMzMywefNmBAYGolatWtixYwcGDx5c4vvDGGOsdCmUWL18+RKnT5/G7du3xR+ij5XnUQH5zj0rj/g5K6buzpw5U+C69erVw4kTJz5bT0NDA97e3vD29i5CZIwxxtSBQonVqFGjcPPmTXh7e/OogHngO/eMMcYYY4yVLwolVhcuXMCsWbN48sJ88J17xhhjjDHGyheFEitra2uYm5sXdyyMMcYYY0wBgoYmdKvUlytjjJUehRKradOmYePGjRg9ejQMDQ2LOybGGGOMMVYIGnqGsB68VNlhMFauKZRYpaWlQVtbGzVr1kT//v1RpUoVuVEBBUHA999/XyxBMsYYY4wxxpgqUyixmj59uvj/69evz7MOJ1aMMcYYY4yx8kKhxCosLKy442CMMcYYY4wxtVXoxCo1NRVr165F+/bt0bNnz5KIiTHGGGOMMcbUikZhV9DX18fmzZvx+vXrkoiHMcYYY4wxxtSOQl0BmzRpgnv37hV3LIwxxhhjTAGS9A9IOLtNpszMbTg0dA2UFBFj5Y9CidWaNWvQvXt31K9fHyNGjICWlkKbYYwxxhhjxYCyM/Hu1lGZMtPWg5UUDWPlk0IZ0YgRI6ChoYFx48Zh0qRJqFy5MvT19WXqCIKAO3fuFEuQjDHGGGOMMabKFEqszM3NYWFhgdq1axd3PIwxxhhjjDGmdhRKrM6cOVPMYTDGGGOMMcaY+ir0qICMMcYYY4wxxmQpPOpEdnY2duzYgaNHjyIiIgIAYG9vjx49emDIkCHQ1NQstiAZY4wxxhhjTJUp1GKVlJSEVq1aYdSoUQgODkZmZiYyMzMREhKCkSNHonXr1khOTi7uWBljjDHGGGNMJSmUWPn4+ODGjRtYt24d3rx5g5s3b+LmzZuIjY3F+vXrcf36dfj4+BR3rIwxxhhjjDGmkhRKrA4cOAAvLy94eXlBW1tbLNfW1sb48eMxfvx47Nu3r9iCZIwxxhhjjDFVplBiFRcX98mh1uvUqYP4+HiFg2KMMcYYY4wxdaJQYlWzZk0cOnQo3+WHDh1CjRo1FA6KMcYYY4wxxtSJQomVl5cXgoOD0b17dwQHByM8PBzh4eE4ceIE3N3dERISggkTJhR3rIwxxhhjjDGmkhQabt3LywuxsbFYunQpTpw4IbNMW1sb8+bNw/jx44slQMYYY4wxxhhTdQrPY+Xr64sJEybg5MmTMvNYdezYERUrViy2ABljjDHGGGNM1SmcWAFAxYoVMXDgwOKKhTHGGGOMKULQgLZFVbkyxljpKVJilZKSgoiICCQkJICI5Ja3bdu2KJtnjDHGStW7d+/g7++PK1eu4OrVq0hISEBAQABGjBghV/fBgwf4/vvvceHCBejo6MDd3R2rVq2CpaWlTD2JRIIVK1Zg48aNiI6OhqOjI7y9vTFo0KBS2itWHmjqG8H2mw3KDoOxck2hxCouLg4TJkzAvn37kJ2dDQAgIgiCIPP/0mWMMcaYOnj79i0WLlyIqlWrolGjRjhz5kye9aKiotC2bVuYmJhg8eLFePfuHVasWIF//vkHV69ehY6OjljXx8cHS5cuxZgxY+Di4oKDBw9i8ODBEASBe30wxlgZolBiNWbMGBw+fBiTJk1CmzZtYGZmVtxxMcYYY6XOxsYG0dHRsLa2xvXr1+Hi4pJnvcWLF+P9+/e4ceMGqlbN6X7VrFkzdOrUCYGBgRg7diwA4OXLl1i5ciW+++47rF+/HgDwzTffwM3NDTNmzICnpyc0NTVLZ+cYY4yVKIUSq+DgYHz//fdYvnx5ccfDGGOMKY2uri6sra0/W2/fvn3o0aOHmFQBQMeOHeHo6Ig9e/aIidXBgweRmZkJLy8vsZ4gCBg/fjwGDx6My5cvo3Xr1sW/I4wxxkqdQk81GhgYoFq1asUcSo709HTMmjULtra20NfXh6urK0JCQgq8/u7du9GiRQtUqFABpqamaNmyJU6fPl0isTLGGCt/Xr58idjYWDRt2lRuWbNmzXDr1i3x9a1bt1ChQgV88cUXcvWkyxljjJUNCiVWQ4cOxYEDB4o7FgDAiBEjsGrVKgwZMgRr166FpqYmunfvjgsXLnx2XV9fXwwaNAhVqlTBqlWr4Ofnh4YNG+Lly5clEitjjLHyJzo6GkBOt8GP2djYID4+Hunp6WLdSpUqic8g564HAK9evcrzPdLT05GcnCzzxxhjTLUp1BXQw8MDZ8+eRdeuXTF27FhUqVIlzz7izs7Ohdru1atXsWvXLvj7+2P69OkAgGHDhqF+/fqYOXMmLl26lO+6f//9NxYuXIiVK1fi+++/L9wOMcYK7G5UIm5EJKCJvRka2pkqOxzGSl1qaiqAnG6DH9PT0xPr6Orqiv/9VL28LFmyBAsWLCiukFk5IMlIQ/LVfTJlxs36QUNHr9RjqTb7aKm9V/hS91J7L8Y+R6HEKnd/8Ly66Sk6KuDevXuhqakp9k0Hcn58Ro8ejTlz5iAyMhJVqlTJc901a9bA2toakydPBhHh/fv3MDQ0LNT7M8Y+70ZEAhI/ZOJGRAInVqxc0tfXBwCxVSq3tLQ0mTr6+voFqvcxb29vTJ06VXydnJyc7+9feVSaF+7qgrLSkXRxp0yZkXMPQAmJFWPllUKJVUBAQHHHASCnr7mjoyOMjY1lyqV90W/fvp3vD8upU6fQsmVL/PTTT/Dz80NcXBysra3h4+ODCRMmlEi8jJVHTezNxBYrxsojaTc+aZfA3KKjo2Fubi62UtnY2CA0NFRmSpLc69ra2ub5Hrq6unm2dDHGGFNdCiVWw4cPL+44AOT80OTXZx3Ivy96QkIC3r59i4sXL+L06dOYP38+qlatioCAAEycOBHa2toYN25cvu+bnp4uc0eR+7Izlr+GdqbcUsXKtcqVK8PS0hLXr1+XW3b16lU4OTmJr52cnLB161Y8ePAAdevWFcuvXLkiLmeMMVY2KDR4RW7R0dG4c+cO3r9/X+RgFO2L/u7dOwA5Exdv3boV06dPR//+/XH06FHUrVsXfn5+n3zfJUuWwMTERPzj7haMMcY+pV+/fjhy5AgiIyPFslOnTuHx48fw9PQUy3r16gVtbW1s2LBBLCMibNq0CZUrV0bLli1LNW7GGGMlR+HE6uDBg6hTpw7s7Ozg7Ows3n17+/YtGjdurNCogYr2RZeWa2trw8PDQyzX0NDAgAEDEBUVhRcvXuT7vt7e3khKShL/cv9QMsYYK1/Wr18PPz8//PrrrwCAw4cPw8/PD35+fkhKSgIAzJkzBwYGBmjfvj3WrVuHJUuWwNPTEw0aNMDIkSPFbdnZ2WHKlCn43//+h3HjxmHr1q3o2bMnzp8/j+XLl/PkwIwxVoYo1BXw8OHD6Nu3L1q0aIHBgwfD19dXXFaxYkVUrlwZgYGB6NOnT6G2a2Njk+fQ6J/ri25ubg49PT2YmprK/UhZWVkByOkumHsix9y4LztjjDGpFStWICIiQny9f/9+7N+/H0DOdCPSng1nz57F1KlTMXv2bOjo6MDd3R0rV66U+z1ZunQpzMzMsHnzZgQGBqJWrVrYsWMHBg8eXKr7xRhjrGQplFgtXLgQbdu2RWhoKOLi4mQSKwBo0aIFNm/eXOjtOjk5ITQ0FMnJyTIDWHyuL7qGhgacnJxw7do1ZGRkQEdHR1wmfS7L0tKy0PEwxhgrf8LDwwtUr169ejhx4sRn62loaMDb2xve3t5FjIwxxpgqU6gr4L1799C/f/98l1eqVAmxsbGF3q6Hhweys7OxZcsWsSw9PR0BAQFwdXUVn3168eIFHj58KLPugAEDkJ2djW3btollaWlpCAoKQt26dfNt7WKMMcYYY4yxolKoxcrAwOCTg1U8f/4cFhYWhd6uq6srPD094e3tjdjYWNSsWRPbtm1DeHg4fvnlF7HesGHDcPbsWRCRWCbtu/7dd9/h8ePHqFq1KrZv346IiAgcPny40LEwxhhjjDHGWEEp1GLVvn17bNu2DVlZWXLLYmJi8PPPP6Nz584KBfTbb79hypQp2L59OyZNmoTMzEwcOXIEbdu2/eR6+vr6OH36NAYPHoxff/0VM2bMgIaGBo4ePYpu3bopFAtjjDHGGGOMFYRCLVaLFi1C8+bN4eLiAk9PTwiCgBMnTuD06dPYvHkziAjz589XKCA9PT34+/vD398/3zpnzpzJs9zKygqBgYEKvS9jjDHGGGOMKUqhFqvatWvjwoULsLCwwNy5c0FE8Pf3x+LFi9GgQQOcP38e1apVK+ZQGWOMMcYYY0w1KdRiBeSMhnTy5EkkJCTg6dOnkEgkqF69ujj6HhFBEIRiC5QxxhhjjDHGVJXCEwRLmZmZwcXFBa6urrC0tERGRga2bNmC2rVrF0d8jDHGGGOMMabyCtVilZGRgUOHDuHZs2cwMzNDjx49xGHMP3z4gPXr12PNmjWIiYlBjRo1SiRgxhhjjDEmT0Pf+POVyphqs4+WyvuEL3Uvlfdh6q3AidWrV6/Qrl07PHv2TBzmXF9fH4cOHYKOjg4GDx6Mly9folmzZli3bh369u1bYkEzxhhjjLH/aBqYoMqk35UdBmPlWoETKx8fH4SFhWHmzJlo06YNwsLCsHDhQowdOxZv375FvXr1sGPHDri5uZVkvIwxxhhjjDGmcgqcWIWEhGDkyJFYsmSJWGZtbQ1PT0+4u7vj4MGD0NAo8iNbjDHGGGOMMaZ2CpwJvX79Gs2bN5cpk74eNWoUJ1WMMcYYY4yxcqvA2VB2djb09PRkyqSvTUxMijcqxhhjjDHGGFMjhRoVMDw8HDdv3hRfJyUlAQCePHkCU1NTufrOzs5Fi44xxhhjjDHG1EChEqu5c+di7ty5cuVeXl4yr6WTA2dnZxctOsYYY4wx9lmSzHS8/ydEpqxCg07Q0NZVUkSMlT8FTqwCAgJKMg7GGGOMMaYgykxDfMgmmTKDOm0ATqwYKzUFTqyGDx9eknEwxhhjjDHGmNriofwYY4wxxhhjrIgK9YwVY4wxxhhj5U212UdL5X3Cl7qXyvuwksEtVowxxhhjjDFWRJxYMcYYY4wxxlgRcWLFGGOMMcYYY0XEiRVjjDHGGGOMFREnVowxxhhjjDFWRJxYMcYYYyUoPT0ds2bNgq2tLfT19eHq6oqQkBBlh8UYY6yY8XDrjDHGWAkaMWIE9u7diylTpqBWrVoIDAxE9+7dERoaitatWys7vGJVWkNSM8aYKuLEijHGGCshV69exa5du+Dv74/p06cDAIYNG4b69etj5syZuHTpUqnEwQkPY4yVPO4KyBhjjJWQvXv3QlNTE2PHjhXL9PT0MHr0aFy+fBmRkZFKjI4xxlhx4hYrxhhjrITcunULjo6OMDY2lilv1qwZAOD27duoUqWKMkJjjKmg0mpdDl/qXirvU95wYpUHIgIAJCcnKzkSxhgrX6TnXel5WN1FR0fDxsZGrlxa9urVqzzXS09PR3p6uvg6KSkJgOK/S5L0Dwqtx9SHJEP+31iS8QGCprYSomGqrur3f5TK+9xb0KVU3qekFfS3iROrPKSkpAAA30VkjDElSUlJgYmJibLDKLLU1FTo6urKlevp6YnL87JkyRIsWLBArpx/l1hhvNo8RtkhsHLOZI2yIyhen/tt4sQqD7a2toiMjISRkREEQcizTnJyMqpUqYLIyEi5Lh6qjmNXDo5dOTh25VA0diJCSkoKbG1tSzC60qOvry/T8iSVlpYmLs+Lt7c3pk6dKr6WSCSIj4+HhYVFvr9LqkqdP8fqjI+7cvBxV46SPu4F/W3ixCoPGhoasLOzK1BdY2Njtf3icOzKwbErB8euHIrEXhZaqqRsbGzw8uVLufLo6GgAyPdHWldXV66ly9TUtNjjK03q/DlWZ3zclYOPu3KU5HEvyG8TjwrIGGOMlRAnJyc8fvxY7tmoK1euiMsZY4yVDZxYMcYYYyXEw8MD2dnZ2LJli1iWnp6OgIAAuLq68jNTjDFWhnBXQAXp6upi/vz5eT6UrOo4duXg2JWDY1cOdY69OLm6usLT0xPe3t6IjY1FzZo1sW3bNoSHh+OXX35Rdnilgj8LysHHXTn4uCuHqhx3gcrKmLaMMcaYCkpLS8PcuXOxY8cOJCQkoGHDhvjxxx/RpUvZGIaYMcZYDk6sGGOMMcYYY6yI+BkrxhhjjDHGGCsiTqwYY4wxxhhjrIg4sWKMMcYYY4yxIuLEijHGWKHx47mMMcZKg0QiUXYIBcaJFVM6vkBj5U1SUpKyQ1DY7t27AQCCICg5EqZK+DxeOtLS0mRe83FnZdmTJ0+QnZ0NDQ31SVfUJ9ISdOvWLbx48ULmYkddTlYfPnxQdggKe/78OT58+CD3Q6EO7ty5gydPniAqKkosU5fPDAAcPHgQXl5eeP78OQD1uhu0c+dOGBkZ4eLFi8oOpdD279+Pzp07Y/Xq1QgPD1d2OIWya9cu1KhRA4MGDcKFCxeUHQ5TopCQEMyePRsbN27EpUuXAHCiXdLu3bsHT09PDBw4EN9++y2uXr0KgI97Sdu9eze+/fZbLFu2TOa8p06/9+po+/btcHR0ROfOnVG3bl0sXLhQbW5IluvE6sGDB2jdujU6dOiARo0aoVmzZti3bx+ysrIgCIJKf3EePXqEJk2a4JtvvlF2KIV29+5duLu7o2fPnnBwcEC7du1w8eJFlT7eUnfv3kWnTp3Qo0cPNGnSBI0aNcJPP/0kfmbUQUhICPr06YPt27fjyJEjAKAWd4Nu3boFV1dXjBo1Cu7u7jA2NlZ2SAX26tUruLu7Y9iwYdDR0YGBgQEMDAyUHVaBSI/78OHDYWRkBD09PaSnpys7LKYESUlJGDBgAHr27ImjR49i2rRp6NKlC3766SfEx8cD4AvO4iQ9ltu3b0eLFi3w8uVLZGZmYufOnejUqRNWrFih5AjLrtevX6Nr164YPXo0rl27hmXLlqFjx47w9fVFYmKiyl8jqrOff/4Z48ePx5dffolvvvkGzs7O8PX1hZeXF549ewZAxW8GUzn1+vVraty4MbVs2ZJ+/fVX+vXXX6l58+ZkampK8+fPJyIiiUSi3CDzIJFIaO/eveTo6EiCIJAgCHTmzBllh1UgWVlZ9NNPP5GlpSW5ubnRvHnzyMvLi6pUqUJ16tRR6f3IyMigRYsWkampKbm5udG6deto586d1K5dOzI2Nqb9+/crO8TPkn6eb9y4QRYWFqSvr0+urq50+/ZtIiLKzs5WZnj5+vDhA40cOZIEQSA3Nzc6ePAgvX79WtlhFcr8+fPpiy++oKCgIHrx4oWywymQpKQkGjZsGAmCQO3ataODBw/S0aNHSU9Pj1asWEFEOd9pVn7s2bOHzMzMaMuWLfTixQt68OABDRs2jHR1dWnatGnKDq/Matu2LXXt2pXCw8OJiCgsLIyGDBlCgiDQzp07KT09XckRlj3btm0jc3NzCgoKolevXlFcXByNGDGCjIyMyMvLS9nhlVnv3r2jli1bUseOHSk6OlosX7ZsGRkbG9PAgQOVGF3BlNvEateuXaSlpUV79+4Vy6KiomjAgAEkCAKdPHlSidHl79mzZ1S/fn2ysLAgPz8/qlu3LjVv3pwyMzOVHdpnHT9+nKpXr06jRo2ihw8fiuUXL14kQRBo1qxZKrsfR48eJWdnZ5oyZQo9fvxYvKB88uQJCYJAy5cvV8lEPC979+6lzp0706ZNm0gQBJozZ464P6q2D1lZWbRo0SISBIHGjBlDb968yfczomqxS7148YIqVapEkyZNkivPTZXif//+PdWqVYuqV69OGzdupIiICCIiev78OZmZmVHfvn1VNhFnJeerr76iunXrypX37t2bTE1NadeuXUTECXdxunnzJhkaGtKqVatkyiMiIqhDhw5Us2ZNunDhgpKiK7vc3NyoefPmMmXv37+nESNGkCAIdPToUSJSrfN2WRAfH08VK1YkPz8/IpI9l3z77bekp6dHv/zyCxGp7s1g1e//U0IiIiJQoUIF9OnTBwCQmZmJypUrY+bMmXBxccGUKVMQGxur5CjlaWlp4auvvsKpU6fg4+OD7777DleuXMG2bduUHdpn3b9/H7q6uli6dClq164NAMjIyEDLli3h6uqKmzdvQktLSyWb101MTDBkyBDMmTMHtWrVgqamJoCcfu+Wlpawt7dX+a4B0tiqVKmCK1euYNy4cejQoQMCAgIQGhqq5OjypqmpiS5duqBly5Y4f/48KlasCC0tLRw6dAgjRozArFmzEBAQgIyMDJXtihkeHo6UlBRMmDABQE63nnr16qFr167o06cPdu7cCUB1npWQSCQwMDDAtm3bcOjQIYwePRpVq1YFADg4OKBmzZqIj49HZmamSn/eWfFKT09HRkYGTE1NxbKMjAwAgI+PDxwcHODt7Y2srCzx/MiKztraGhkZGahQoQIAiN1wq1atihUrVuDly5cIDAzE27dvlRlmmSGRSJCeng49PT1oaWmJ5VlZWTAwMMDEiRPh7OyMSZMmgYhU5rytjo4ePQpnZ2eZZ9eSk5MhCAKio6ORnp4OTU1NZGdnAwAmTJgAJycn+Pr6Ii0tTXUfYVBqWlcKpBntx3cVVq9eTUZGRhQaGkpEJHPHfvfu3aSrq0uLFy/Oc93Skl/saWlp4v8/evSIOnfuTHZ2dvT27dtSje9TcseeO/5Hjx7JLCfKOfbt2rWj1q1bU2pqaukGmof8jvvHzp8/T/Xr1ydjY2Py9fWlf/75hxISEmS2oQyfi3/v3r1Us2ZNIiK6desWCYJAw4cPp/j4+E+uVxryi13aujZt2jTq3LkzCYJANWvWJCMjIxIEgfr27Uv37t2T2UZpyy/269evk5aWFh04cIB+/fVX0tDQIA8PDxo+fDhZWVmRIAgUEBCghIj/U5DPvEQioezsbPruu+/IxMRE/KzzHduyJT4+nh4/fiyeD3Lz9PQkR0dH8Tye2+rVq0lPT48WLVpERKp7N1ndJCcnU6NGjah9+/ZiWe7v3IwZM8jIyIhOnTqljPDU2oMHD2jy5Mk0ceJE8vHxocePH4vLevfuTbVr16Z//vmHiGQ/z1u2bCFBEGj16tVyy1jBhIWFkb29PQmCQH369JFZ1q5dO2rWrBlFRUXJrbd27VoyMjKipUuXEpFq/v6U2cRK+kzM1q1bZcql/wghISGkq6tLvr6+Ypn0yxETE0P9+/cnS0tLpfRdzi/2/OzevZv09fVp5syZJRzZ5xU2dmni1bhxYxowYIBYpgwFiV36GZk1axYJgkDt27en4cOH0+jRo8nU1FSp/X8/F7/0uF69epWMjIzo1atXREQ0evRo0tXVpd9//52Icro7lLbPfV8jIiLIw8ODBEGgL7/8ko4fP04RERH08uVL+vHHH0lDQ4M8PT1LPW6izx/369evU8WKFWno0KHUqFEjmjt3LqWkpBAR0d27d6lLly5kYWFBDx48KM2wiajw31ciorlz55IgCHTo0KESjIwpw5w5c6h27dpkY2NDOjo6NHv2bJkk6ujRo+JzPVLSm5KRkZHUunVratSoEb1586bUYy/LZsyYQdbW1hQcHExEst2jnj59ShUrVqTp06cTkWpeaKqa9PR0mj59Ounr61PTpk2pVq1aJAgCVa9enf744w8iyrkBKQgC/frrr+LvvvS4h4eHU4cOHcjBwYGfb1NQUlISmZqaUr169cjOzo5+++03cdn27dtJU1NT5lEd6bF/8eIFNWrUiNq1ayfe3FM1ZTKxOnfuHNWrV48EQaDOnTvT/fv3iUj+hOPs7EyNGzcW70jkXh4UFERaWlq0cePGPNdVduy5y2JjY2nUqFGkp6cn3rVXxsm1MLHnFhkZSRUqVKAlS5YQkXL65xc0dunrAwcO0O7du+nt27dimbe3N2loaJC/vz8Rle5drMIc+z179pCjo6M4AERycjIZGBhQ+/btaeTIkfT111+LSZcqxR4UFEQjRoygixcvyi0bMmQImZiYiBf7qvZ9bdWqFWloaFDFihXp0qVLMsuCg4PJ3NycJk+eTESl97kp7PdVGtf58+dJEATas2fPJ+sz9XH37l1yc3MjOzs7mjNnDi1evJhGjRpFgiDQ6NGjxecaIyMjycXFhVq1aiVzUSP9DPj6+pKRkZGYALDi8fr1azI3N6fBgweLv4/S72NKSgoNGTKEqlSposwQ1UZKSgrNmTOHqlevTsuWLaNHjx5RdnY2nTp1imxtbalNmzb04cMHysrKokaNGlGbNm3EQUNyW7BgAZmamorPWrGCk0gkFBkZSe3ataNFixZR7dq1ycXFhd69e0dEOc+uu7i4kKurq8xNGulnfsKECWRjY0PPnz9XSvyfU+YSq8uXL1OdOnWoWrVq5OnpSYIg0LJly2QeeJeemA4ePEiCIJCfn5/YBU267NGjR2RnZ0djx44ttQudgsSen1OnTlHlypXlmlRLS1FiP3fuHAmCQCdOnCiFSOUVJvZPXUQ+efKEatasSY0aNZLprlnSChq/NPbz58+TgYEBRUZGissGDRpEmpqapK2tTfPnzxdPcKoQuzTupKQkio2NlVlfWu/vv/8mQRBkWqBVIXbp+eT48ePiKJ7Slinpnc7Y2Fjq2rUrValSpdQ+N0X5vt67d4/MzMxo4sSJRMSJlbpLSEigESNGUM2aNWn//v0yLda9evUiS0tLOn/+PBHlfN9+/vln0tDQoP/973/i5zsjI4OIcn43BUEQR0nlLlLFZ+HChWRpaSk+uJ/7BuSsWbPIysqKnj17pqzw1EZYWBg5ODjQuHHjKDExUWbZuHHjyNLSkq5fv05EOS0ngiDQqlWrxO+F9Lx969Yt0tDQoAMHDhARnwcLKzY2lvT09OjBgwe0dOlSMjQ0FAesSEtLo23btpGmpiYtWbJEPPbS38c//viDtLW18+ySrArKXGJ1//590tXVFZtz27RpQ7Vq1aKLFy/mWb979+5ka2tLhw8fJiLZk1W9evVo2LBhRFQ6X5rCxp47rnfv3olddKR9rc+ePUsHDx6UqadKsUtt2LCBtLS0xO5RWVlZ9OzZM/HkpsqxE8lePLRo0YKaN29eqonVx/G3bdv2k/Hv2rWLateuTYmJiRQaGkqtW7cmTU1NMjY2ppo1a4oXUar6mc8dm/TYv3nzhkxNTUu1O2xhY5cOjzxu3DgiIpkkxsPDg+rWrUtJSUklHzgV7TMfGxtL9vb21KFDB0pOTi7pUFkJi4+PJxcXF/GCnei/RCk0NFTmN4UoZ/Tcvn37kq2tLYWGhsqcJy5fvky6urq0adOm0tuBciItLY3q169PNWvWlLtT7+XlRVZWVirbNUqVSCQS2rJli0yZ9PO+Z88e0tLSEm9+JSYmUt++fcna2pr+/PNPmXWuXr1KgiDQtm3bSifwMiQ7O5tevnxJtWvXpnPnzlFMTAw1b96cHBwcxGQpJiaGRo8eTYaGhrR9+3ZxXYlEQt988w1ZW1tTZGSkSia0ZSqxkiZFue9qS1tDJk2aJF605L4QjoiIIENDQ2revDndvHlTLP/777/J2NiYFixYoFKx5/Uhku7Pw4cPydnZmRo0aEALFiygKlWqkIWFRYnP+VOU2ImIevbsSS1btiSinK4mO3bsoMaNG5OzszPFxcWpbOwf3409ceIEaWtr05QpU0owYlmFiV+6D6dOnSIdHR3q0aMHaWpqUqtWrejcuXO0Z88e8cK/NPqNF+ex37BhAwmCQD///HMJRvwfRc41kZGRZGxsLNc6+++//1KNGjVo6NChpfIjURzHvW/fvlSvXj169+6dSv6wsYKR/ns+ePAgzwFMgoODSUtLi3bv3i2z3j///EOVK1emJk2aiJ/l169f08yZM8nW1jbPrlOs6C5fvkyVK1emBg0a0Pnz5+nFixf0119/kYODA33//ff8XSwg6U2tjx878Pf3J01NTZnpYCIjI6lSpUpUr149On78OBERvXz5kiZMmED29vYUExNTeoGXIfHx8WRgYCDezNu8eTOZm5vT6NGjiYjo7du3FBMTQ66urmRiYkI//PADBQcH09atW6latWoqPZeY2iZWu3btonHjxtHSpUvp3LlzYnnuE4v0h2L48OFkamoqd8dB+qUKDAykqlWrkoODA/3000+0detW6tmzJ1WpUoXu3r2rkrHnJSIiQpxjQRAE6tWrl0x3L1WLXSKRUEpKCtnY2NDAgQPp5MmT9NVXX5EgCNS1a9c8R4RRldhze/XqFR0+fJjc3Nyobt264jN7xa244r948SI1bNiQvvjiC1q/fj1FRkaK34VWrVrRmDFjij2xKqljHxMTQwcOHKCGDRuSm5tbiYyMWZznml27dpGNjQ2Zm5vTmDFjaPHixdStWzcyMzMrka6wJXHcJRIJ+fn5kSAI4t1FvqArW6T/nocOHSJBEMQLzdz/zmfOnKHq1auTIAjUqlUr6tChA+nq6tKMGTMoPT2dPxMl5PTp01S9enXS1tamGjVqkLGxMTk7Oytl8JuyQnoOnDx5MllbW4stWNLz9okTJ8jZ2ZkEQSAnJydq0aIFaWtr04IFCygrK4s/6wp4/vw5OTo6ir836enp1KdPH6pYsSINGDCAnJ2d6caNG/T8+XMaN24cCYJApqampKenR4MGDSq13h2KULvEKiYmhrp06UIVKlQgZ2dnMjMzI11dXZo/f77YDP7xZKdRUVFkaGhIffv2FRON7OxsuR+JVq1akYmJCVlYWFDDhg2LfdK94oz9Y+fPn6euXbuShoYGNW7cuMDd2JQd+9OnT8nAwICcnZ3J0NCQateuXezDxpZU7GfOnKExY8aQh4cHGRkZUaNGjejatWvFGntxxi+9S5eRkUHnzp2jf/75R0ygpOsV93D3JXnsv/32Wxo0aBAZGhqSs7Mz3b59W2Vjz32uuXjxInXp0oVMTU3JysqKGjduLJP0qFrseVm9ejUJgiAzahMre2bPnk1mZmaUkJCQ53OPT58+JV9fXxowYAB17dqVjhw5oqxQy5WnT59SUFAQzZs3T6abFCuaJk2aUL9+/YhIvjXrzZs3tHTpUhozZgwNGDBAbhAiVjhxcXGkq6src509Y8YM0tHRIU1NTfLx8ZHpbfXgwQMKDQ0VB2hTZWqXWG3bto3Mzc0pKCiIXr16RXFxcTRixAgyMjLKs2lQ+gOwaNEi0tDQoC1btshc5OT+/9TUVHr9+nWJXByXROy5nTx5knR0dGj9+vVqFfvp06dJEASysrJSu9gPHz5MNWvWpHbt2tGvv/5aIrGXVPyldYetpI793r17ydDQkFxdXUus+19JnmvS09MpISGB7ty5oxaxS0kTrejoaAoMDCyR2JnySf+du3TpQi1atChwfcbUVWxsLOnr64uj+hLlfK7zms+NFd2zZ8/I0dGRgoOD6dKlS9SmTRvS1NSkWrVqkbGxsficpjJGiS4qtUus3NzcqHnz5jJl79+/p+HDh5MgCOLQlx+f6DMyMqhGjRrk6uoqTgL37NkzmecMSvrHoSRjJyrZD2Bxx577TsTmzZvFpnd1i/3Zs2dq9bl5+vSp3OemJJXksb9z545afebLyrmGu72UHZ/6HGZlZZGpqSnNnTtXLIuLi6PTp0/Thw8fiIg/C6zskN7kPXPmDBHl3Dzavn07ubi4lOpvZnkRFRVFurq65OTkRFpaWtSiRQsKDg6mixcvUr169ahy5cpqm9SqTWKVnZ1NaWlp1KVLF2rVqpVYLu2ecOPGDWrSpAlVr15d7mT/8fDqs2bNooCAAHJ2dqZJkyaV+ISoHHvesZf0iGIlGXtpDEdekvFLL4zUMfaSPvb8fVVO7Kz0SCQSmaTqwIEDdPXqVZk6N2/eFEcETE1NpUuXLolzW0nnd2RM3UnPg8uWLSNTU1N6/PgxhYaGUp8+fUhbW5uaNm0qM18lKx5ZWVn09ddfU82aNWndunX04sUL8Tdo7ty5NGzYMEpKSlLL466SidWDBw9o8uTJNHHiRPLx8RHvnBIR9e7dm2rXri0OEJD7x2HLli0kCAKtXr2aiORbcDIzM8nFxYU0NTVJEASysbERR3nh2Dl2ZcWu7vFz7Bw7Ux+5/73v3btHHTp0IEEQaPHixTIXMWvXriVNTU3au3cv+fn5kYWFBVlbW9Pvv/+ujLAZK1F9+/alGjVq0JgxY8jIyIhq1arFE12XsKioKLp3757c9DQFmU9RlalUYpWenk7Tp08nfX19atq0KdWqVYsEQaDq1auL863s3buXBEGgX3/9VbxYkP5QhIeHU4cOHcjBwUHuofybN2+Sj48PGRoakpGREa1Zs4Zj59iVGru6x8+xc+xMfeROqFJSUmjs2LEkCAI1a9ZMfBaP6L8kfPz48VShQgWqXr06aWlpkY+Pj1LiZqykpaamkpOTEwmCQMbGxuJNJ8YUoTKJVUpKCs2ZM4eqV69Oy5Yto0ePHlF2djadPHmSbG1tqU2bNvThwwfKysqiRo0aUdu2bfOcK8PX15dMTU3FZwiIci4aJkyYQIIg0PDhw8WJaDl2jl1Zsat7/Bw7x87UQ+457IhyRnQ0MjKiypUr0/Lly+nJkyd5PmvVqlUrEgSBhg4dys+YsDJv5syZNGvWLLnWE8YKS2USq7CwMHJwcKBx48ZRYmKizLJx48aRpaUlXb9+nYiItm/fToIg0KpVq8R+/9I7r7du3SINDQ06cOAAEf3XpHj16lW6f/8+x86xq0Ts6h4/x86xM/Vy/PhxqlOnDunp6ZGXlxddvXo1z+kVpC1bV65cET9LjJV1PLIlKy4qk1hJJBLasmWLTJl0pLg9e/aQlpaWOAFeYmIi9e3bl6ytreUms7x69SoJgkDbtm0rncCJYyfi2BWhzvFz7Bw7Uw/Z2dn0ww8/kCAI1LNnT/rrr7/EucwYY4wVL5VJrIj+u2v68cPU/v7+pKmpKc7+TkQUGRlJlSpVonr16okPVr98+ZImTJhA9vb2FBMTU3qBE8fOsStGnePn2Dl2ph5CQ0Np27ZtFBUVpexQGGOsTFOpxOpj0qbZyZMnk7W1tXhnVnpBceLECXJ2diZBEMjJyYlatGhB2tratGDBAsrKylLqMI0cO8euCHWOn2Pn2Jlq+vg5K/43Z4yxkiEQEUHFNW3aFNWqVcPevXuRnZ0NTU1Ncdnbt2/xyy+/4NmzZ0hOTsbkyZPRokULJUYri2NXDnWOHVDv+Dl25VDn2BljjLEyQdmZ3efExsaSvr4++fv7i2XZ2dlqMSMzx64c6hw7kXrHz7ErhzrHzhhjjJUVGspO7D7n3r17SEtLg4uLCwAgJiYGv//+O7p06YI3b94oObpP49iVQ51jB9Q7fo5dOdQ5dsYYY6ysUNnEiv6/h+K1a9dgYmICW1tbnDlzBl5eXhg1ahSICBoaGmI9VcKxK4c6xw6od/wcu3Koc+yMMcZYWaOl7ADyIwgCAODKlSuwsLCAv78/du3aBWtraxw9ehSdOnVScoT549iVQ51jB9Q7fo5dOdQ5dsYYY6zMKb1eh4WXmppKTk5OJAgCGRsb0+rVq5UdUoFx7MqhzrETqXf8HLtyqHPsjDHGWFmi8qMCzpo1C4IgYMGCBdDV1VV2OIXCsSuHOscOqHf8HLtyqHPsjDHGWFmh8omVRCKBhobKPgr2SRy7cqhz7IB6x8+xK4c6x84YY4yVFSqfWDHGGGOMMcaYquNbnIwxxhhjjDFWRJxYMcYYY4wxxlgRcWLFGGOMMcYYY0XEiRVjjDHGmJoJDAyEIAgIDw9XaP0RI0agWrVqxRpTaSrq/uclPDwcgiAgMDCw2LZZWN27d8eYMWOKbXsDBw5E//79i2177NM4sWKMMcZYubFhwwYIggBXV1dlh8KU5Pfff8eaNWuUHYacixcvIjg4GLNmzRLLEhMTMWTIEJiZmaF69er45Zdf5Na7fv06DAwMEBYWJrds1qxZ2LdvH+7cuVOisbMcnFgxxhhjrNwICgpCtWrVcPXqVTx9+lTZ4TAlyC+xsre3R2pqKr7++uvSDwqAv78/OnTogJo1a4pl06dPx5kzZ7BgwQL06NEDY8aMwaVLl8TlRIRJkyZhypQpcHBwkNtm48aN0bRpU6xcubJU9qG848SKMcYYY+VCWFgYLl26hFWrVsHS0hJBQUHKDqncef/+vbJDyJcgCNDT04Ompmapv3dsbCyOHj0q123vyJEjWLJkCSZNmoSffvoJbdu2xeHDh8XlQUFBiIiIwJw5c/Lddv/+/bF//368e/euxOJnOTixYowxxli5EBQUBDMzM7i7u8PDwyPPxEr6nM2KFSuwZcsW1KhRA7q6unBxccG1a9dk6o4YMQKGhoZ4+fIlevfuDUNDQ1haWmL69OnIzs4W6505cwaCIODMmTN5vlfuZ3ru3r2LESNGoHr16tDT04O1tTVGjRqFuLg4hff7zz//RP369aGnp4f69evjwIEDedaTSCRYs2YN6tWrBz09PVSqVAnjxo1DQkKCXD1fX1/Y2trCwMAA7du3x/3791GtWjWMGDFCrCd9Durs2bPw8vKClZUV7OzsAAARERHw8vJC7dq1oa+vDwsLC3h6eub5zNS///6LL7/8Evr6+rCzs4Ofnx8kEolcvYMHD8Ld3R22trbQ1dVFjRo18OOPP8r8W7Rr1w5Hjx5FREQEBEGAIAjis2b5PWN1+vRptGnTBhUqVICpqSl69eqFBw8eyNTx9fWFIAh4+vQpRowYAVNTU5iYmGDkyJH48OFDfv80oqNHjyIrKwsdO3aUKU9NTYWZmZn42tzcXNze+/fvMXv2bCxZsgSGhob5brtTp054//49QkJCPhsHKxotZQfAGPtPYGAgRo4cKb7W1dWFubk5GjRoAHd3d4wcORJGRkaF3u6lS5cQHByMKVOmwNTUtBgjZowx9REUFIS+fftCR0cHgwYNwsaNG3Ht2jW4uLjI1f3999+RkpKCcePGQRAELF++HH379sXz58+hra0t1svOzkaXLl3g6uqKFStW4OTJk1i5ciVq1KiB8ePHFzrGkJAQPH/+HCNHjoS1tTX+/fdfbNmyBf/++y/+/vtvCIJQqO0FBwejX79+qFu3LpYsWYK4uDiMHDlSTHByGzdunPg7NGnSJISFhWH9+vW4desWLl68KO63t7c3li9fjp49e6JLly64c+cOunTpgrS0tDxj8PLygqWlJebNmye2WF27dg2XLl3CwIEDYWdnh/DwcGzcuBHt2rXD/fv3YWBgAACIiYlB+/btkZWVhdmzZ6NChQrYsmUL9PX15d4nMDAQhoaGmDp1KgwNDXH69GnMmzcPycnJ8Pf3BwD4+PggKSkJUVFRWL16NQB8Mik5efIkunXrhurVq8PX1xepqalYt24dWrVqhZs3b8oNANK/f384ODhgyZIluHnzJrZu3QorKyssW7bsk/9Oly5dgoWFBezt7WXKXVxcsGrVKtSpUwfPnz/H8ePH8fPPPwMAFi9ejMqVK3+262LdunWhr6+Pixcvok+fPp+sy4qIGGMqIyAggADQwoULafv27fTrr7/S4sWLqXPnziQIAtnb29OdO3cKvV1/f38CQGFhYcUfNGOMqYHr168TAAoJCSEiIolEQnZ2djR58mSZemFhYQSALCwsKD4+Xiw/ePAgAaDDhw+LZcOHDxfP2bk1btyYmjRpIr4ODQ0lABQaGprnewUEBIhlHz58kIt9586dBIDOnTsnlkl/Lz53XndyciIbGxtKTEwUy4KDgwkA2dvbi2Xnz58nABQUFCSz/vHjx2XKY2JiSEtLi3r37i1Tz9fXlwDQ8OHD5WJs3bo1ZWVlydTPaz8vX75MAOi3334Ty6ZMmUIA6MqVK2JZbGwsmZiYyO1/XtscN24cGRgYUFpamljm7u4us+9Sef17ODk5kZWVFcXFxYlld+7cIQ0NDRo2bJhYNn/+fAJAo0aNktlmnz59yMLCQu69Pta6dWuZz4zU3bt3yc7OjgAQAOrXrx9lZ2fT8+fPSV9fny5fvvzZbRMROTo6Urdu3QpUlymOuwIypoK6deuGoUOHYuTIkfD29saJEydw8uRJxMbG4quvvkJqaqqyQ2SMMbUSFBSESpUqoX379gBynqcZMGAAdu3aJdNVTGrAgAEyXbDatGkDAHj+/Llc3W+//VbmdZs2bfKsVxC5W2LS0tLw9u1bNG/eHABw8+bNQm0rOjoat2/fxvDhw2FiYiKWd+rUCXXr1pWp+8cff8DExASdOnXC27dvxb8mTZrA0NAQoaGhAIBTp04hKysLXl5eMutPnDgx3zjGjBkj99xS7v3MzMxEXFwcatasCVNTU5n9PHbsGJo3b45mzZqJZZaWlhgyZIjc++TeZkpKCt6+fYs2bdrgw4cPePjwYb7x5Ud6/EaMGAFzc3OxvGHDhujUqROOHTsmt05en4W4uDgkJyd/8r3i4uJkPm9SDRo0wJMnT3Dt2jU8efIEe/fuhYaGBqZNm4Z+/fqhefPm2L9/Pxo1agQHBwcsXLgQRCS3HTMzM7x9+7agu84UxIkVY2riyy+/xNy5cxEREYEdO3YAKFhffF9fX8yYMQMA4ODgIPYpz92PfceOHWjSpAn09fVhbm6OgQMHIjIyslT3jzHGSkp2djZ27dqF9u3bIywsDE+fPsXTp0/h6uqK169f49SpU3LrVK1aVea19KL34+eN9PT0YGlpKVf343oFFR8fj8mTJ6NSpUrQ19eHpaWlONpbUlJSobYVEREBAKhVq5bcstq1a8u8fvLkCZKSkmBlZQVLS0uZv3fv3iE2NlZmm7lHrgNynv3JKzEAkOdodampqZg3bx6qVKkCXV1dVKxYEZaWlkhMTJTZz4iIiALFD+Q8i9WnTx+YmJjA2NgYlpaWGDp0KIDCHzvpe+f3Xl988QXevn0rNxhHQT83eckrIQJyPmNNmzYVj/np06cRHByMpUuX4tGjRxg4cCCmTJmCX3/9FRs2bMhzHi4iKnQ3UlZ4/IwVY2rk66+/xpw5cxAcHIwxY8YUqC9+37598fjxY+zcuROrV69GxYoVAUC8EFi0aBHmzp2L/v3745tvvsGbN2+wbt06tG3bFrdu3eJnshhjau/06dOIjo7Grl27sGvXLrnlQUFB6Ny5s0xZfiPDfXzxW5AR5PK7oM2rpax///64dOkSZsyYAScnJxgaGkIikaBr1655DthQXCQSCaysrPIdKfHj5LEw8noeauLEiQgICMCUKVPQokULmJiYQBAEDBw4UKH9TExMhJubG4yNjbFw4ULUqFEDenp6uHnzJmbNmlWixy63gn5uPmZhYVGg5Cs7OxuTJ0/G7NmzUblyZfz4449o2bKl+Hz2uHHjEBQUJPO8NpCT2OWVoLLixYkVY2rEzs4OJiYmePbsGYCcB4KnTZsmU6d58+YYNGgQLly4gDZt2qBhw4ZwdnbGzp070bt3b5kHbSMiIjB//nz4+fnJDNXat29fNG7cGBs2bPjkEK6MMaYOgoKCYGVlhf/9739yy/bv348DBw5g06ZNeSYAxUHaapGYmChTLm0RkUpISMCpU6ewYMECzJs3Tyx/8uSJQu8rHQghr/UfPXok87pGjRo4efIkWrVq9cnjIN3m06dPZVqi4uLiCtVKt3fvXgwfPlxmfqW0tDS5Y2Rvb1+g+M+cOYO4uDjs378fbdu2FcvzmjS3oC030n39+L0A4OHDh6hYsSIqVKhQoG19Tp06dbBv377P1tu4cSNSUlIwffp0AMCrV69ga2srLre1tcXLly9l1snKykJkZCS++uqrYomV5Y+7AjKmZgwNDZGSkgKg6H3x9+/fD4lEgv79+8v0qbe2tkatWrXEPvWMMaauUlNTsX//fvTo0QMeHh5yfxMmTEBKSgoOHTpUYjHY29tDU1MT586dkynfsGGDzGtpa8fHrRt5TWZbEDY2NnBycsK2bdtkusKFhITg/v37MnX79++P7Oxs/Pjjj3LbycrKEhOeDh06QEtLCxs3bpSps379+kLFpqmpKbef69atk2vF6969O/7++29cvXpVLHvz5o1cy1pexy4jI0PuGANAhQoVCtQ1MPfxy53w3bt3D8HBwejevftnt1FQLVq0QEJCwiefzYuPj8f8+fPh7+8PPT09AEClSpVknh978OABrK2tZda7f/8+0tLS0LJly2KLl+WNW6wYUzPv3r2DlZUVgJyT7IIFC7Br1y6x/7tUQX40njx5AiLKt3tA7iGFGWNMHR06dAgpKSn53q1v3ry5OFnwgAEDSiQGExMTeHp6Yt26dRAEATVq1MCRI0fkztvGxsZo27Ytli9fjszMTFSuXBnBwcF5troU1JIlS+Du7o7WrVtj1KhRiI+Px7p161CvXj2ZCWPd3Nwwbtw4LFmyBLdv30bnzp2hra2NJ0+e4I8//sDatWvh4eGBSpUqYfLkyVi5ciW++uordO3aFXfu3MFff/2FihUrFrg1qEePHti+fTtMTExQt25dXL58GSdPnoSFhYVMvZkzZ2L79u3o2rUrJk+eLA63bm9vj7t374r1WrZsCTMzMwwfPhyTJk2CIAjYvn17nl3wmjRpgt27d2Pq1KlwcXGBoaEhevbsmWec/v7+6NatG1q0aIHRo0eLw62bmJjA19e3QPtaEO7u7tDS0sLJkycxduzYPOvMnTsXDRo0gKenp1jWr18/LFy4EOPHj4e9vT02b96MVatWyawXEhICAwMDdOrUqdjiZXnjxIoxNRIVFYWkpCTxAdai9sWXSCQQBAF//fVXnv3CPzW3B2OMqYOgoCDo6enle1GpoaEBd3d3BAUFFWkS3s9Zt24dMjMzsWnTJujq6qJ///7w9/dH/fr1Zer9/vvvmDhxIv73v/+BiNC5c2f89ddfMt29CqNr1674448/8MMPP8Db2xs1atRAQEAADh48KDdh8aZNm9CkSRNs3rwZc+bMgZaWFqpVq4ahQ4eiVatWYr1ly5bBwMAAP//8M06ePIkWLVogODgYrVu3FltSPmft2rXQ1NREUFAQ0tLS0KpVK5w8eRJdunSRqWdjY4PQ0FBMnDgRS5cuhYWFBb799lvY2tpi9OjRYj0LCwscOXIE06ZNww8//AAzMzMMHToUHTp0kNuml5cXbt++jYCAAKxevRr29vb5JlYdO3bE8ePHMX/+fMybNw/a2tpwc3PDsmXL8hyUQ1GVKlVC9+7dsWfPnjwTq3/++Qdbt27FlStXZMobNGiAgIAA+Pr6IiUlBV5eXnLr//HHH+jbt69C82CyQlLSMO+MsTxI5/y4du1anssXL15MAGjr1q0UHx9PAGjBggUydR4/fkwAaP78+WLZihUr8pzvZPny5QSAHj16VNy7whhjrBxJSEggAOTn56fsUNTWuXPnSENDgx4/flxs27x16xYJgkC3bt0qtm2y/PEzVoypidOnT+PHH3+Eg4MDhgwZUqi++NKHaz9+KLhv377Q1NTEggUL5LZDRCV695Yxxph6ymsuRelvT7t27Uo3mDKkTZs26Ny5M5YvX15s21y6dCk8PDzg5ORUbNtk+eOugIypoL/++gsPHz5EVlYWXr9+jdOnTyMkJAT29vY4dOgQ9PT0oKenV+C++E2aNAEA+Pj4YODAgdDW1kbPnj1Ro0YN+Pn5wdvbG+Hh4ejduzeMjIwQFhaGAwcOYOzYseLIQ4wxxhgA7N69G4GBgejevTsMDQ1x4cIF7Ny5E507d5bpMsgK76+//irW7eU1vQArOZxYMaaCpMPs6ujowNzcHA0aNMCaNWswcuRImT7SBe2L7+Ligh9//BGbNm3C8ePHIZFIEBYWhgoVKmD27NlwdHTE6tWrsWDBAgBAlSpV0LlzZx6alTHGmJyGDRtCS0sLy5cvR3JysjighZ+fn7JDY0ypBPq4/w9jjDHGGGOMsULhZ6wYY4wxxhhjrIg4sWKMMcYYY4yxIuLEijHGGGOMMcaKiBMrxhhjjDHGGCsiTqwYY4wxxhhjrIg4sWKMMcYYY4yxIuLEijHGGGOMMcaKiBMrxhhjjDHGGCsiTqwYY4wxxhhjrIg4sWKMMcYYY4yxIuLEijHGGGOMMcaKiBMrxhhjjDHGGCsiTqwYY4wxxhhjrIj+D/lJNbxSNHgjAAAAAElFTkSuQmCC",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -340,11 +431,18 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:06:01.207624Z",
+     "iopub.status.busy": "2026-02-11T21:06:01.207624Z",
+     "iopub.status.idle": "2026-02-11T21:06:05.690507Z",
+     "shell.execute_reply": "2026-02-11T21:06:05.690507Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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LF3Tu3BmNGzdGQEAAKleujJEjR8LNzQ2HDh3Crl27HP0ZSg3mIpY81HlRaXC34EwEe1TC2lR5Yvxp1Fra/+8w5Er75Fh9ufO6Xc7DKL2kZwvpE1/9c9Om4288SbenOQwnY3EwRcuWLdGyZUskJSVh586dOHHiBG7evKkdMfn7+6Nv375o3rw5evTogaCgIIcZXVrZcuER3msVYXSfJ4QptZfU1aJzPaH+AICKJMk+xgE4eicZHaODC27IYBQSYxGj1sBEKkoXVqunBwYGYujQoRg6dKgj7CnTaObV5UoV/jj1ULtdBoV2ZKRxQAVxlYYDANpwlyGDAnIUfm3ocWqe2oVSxUNFKWRikdljxFBCBN4u788oOxRWyWTzuQRM71UDXi4SO1nEcCYs6q8YMWfXDfx1LgFtvzmMWTvypseiyUOICY8U6oEn8DM4bsvIFgbbTvA18Zj6wYdk4k/pl/BH4fKXRBzB03ShTMjBm88QNWU3qk3dY/aY8kjGLdlg3HIZgoZEX94mv9gug6GLPaaZt114VHAjRomAOSonkz866bNNl/AsXb9uVBNOiNw7y1cDoB+T+1q98kafGnlwmJL7HnhKUI+7h8mSdQZtrIGnFN8fuofE9BzM3ZUXSXjzqbAW8NORWBy4oV9deKD4IERE+HyzJL/o7TOn3cZg5BdjtgUWvV56YI7KyeSqDCfT82+pQITExtu0gt52HzcJlgysj6ggD+z8pBXqVPTW23+Ir4/Pcj8EAHTkLkAE259SNf701P0XeK4T9DFy3Xmcin2OObtuYPaO6yjn7aLdF03yokMrEX0nduxuMlO7ZpjEHiPujEKuczGKD8xRORlFAeKvBDxeEZ0HADzOl+x7YVon7f9rVfCGh8xwyfFvvgVSqTt8SCbacJcLbe/TtBykZuUJ2sYmZeKrf4QR1oMXWdqKxABQQ537BQBeJBschM/KEWDuPzdYmDrDJPaonRabZFlKBaP4wxyVk9l63nyeU1vuMiqoAynu5yuWSPKl5nNGUvVVEOGUuvzHUJH5NSVLMFYG5IoR/b7WOnZrCFaL5GoGUveS2PQfwzij/jhf6HNsPpeA2jP22sEahrMpFY7qzJkz+Pjjj1GzZk24u7ujUqVKeOONN3D7tuXSP85i2vZrZvdrSs8/pb44ydfQbo8MMMynMiUps03VEgAQSgqniA4A2UYcFU+FYAsgb9pymGg3AGCrqqU2SblePpHcSv6GCvAMhjUQ8JgoXo9Vkm/xmXgj8k+cZ8iVTKWiFFAqHNXXX3+Nv/76Cx07dsSSJUswfPhwxMTEoEGDBrh61bg6eEkhRK1IsVPVDLzO1/VF12oGbQM9ZUbPoQlVF9QtCvejNVnzR+dmwIFHC05wwL8qO+MaL7x/ZfJY75Bv9rBCdwxDFu+3/AGzDXcFH4p3oLPoHD4Rb9OKN+uy8/ITvddKFY8LD1OQrbBvkVCG47Aoj4rjOINpJktQqYrmQvj000/xxx9/6JUcGTBgAGrXro358+fj999/LxI7HEEl9SjoKdUPSzf2fcx6tSa2nDcMydXoA7qQXNQkcbhGjScVFwbdmJBgpEBGlMilIlyildEOlwDYTyWDUbpZvN8ybckw8hSrJAv1tm2SzUadnFVIh4d229XHaVDyPKICPeHnIUXL+QcBAM0i/bBheHP7Gc5wGBY5qunTpxvcGLdu3Ypr166hS5cuqFZNeLq/efMm9u3bh1q1aqF37952N9YULVoY5hFVqVIFNWvWxI0bhRdldRSmys9rcIEcrdSl52/Tinr7jM1meLpIsHhAPYz986LedjmkuMKHozYXhwWSVeiu+AqODN7VqGE8pv7gweGJ2slqRocMRmFxQw7+k32qfZ1DJXAhQpDPPMlPGJU7FoAwJb3yv1ij5zgZ+wIHbjxDsJcLalXwNtqGUTywyFHNnDlT7/WqVauQmJiIq1evap2Uhhs3bqBDhw4oX7683Yy0BUopnj17hpo1azrVDnN0XRxjdn8b7jI8iaAGEcPXseyctULguV1skNk/Kfd97JRNRQ3uAXpyJ7GTF54kCXj8KpkPL5KFNxTT7aIgoSlJkqium6VR0yhXSkZUCiWPzzZdwrhXqiAy0KPgAxh2IRCpSIcb5JCiPXdRu3167mD8ruqE4aKdmCjZgB6i0/hO+RA3aSVt4VFTvPfLWQBAZKA7to9qCU+mZFEssWmNasGCBfj4448NnBQAREdH4+OPP8Y333xTaOMKw7p16/Do0SMMGDDAZBu5XI709HS9v6Iks4A58kh1IIWcimHpCMhFIsKBT9sabL9KI/GTshsAoKsor7BhRZKE1qKrqMvF4ohsLFwgt9B60/gQIZovjQoBH4/Vjqq0TP2dffACOy49Rodv/8PK/0ys2TFspkqQofPvxR3HGZeR+E82DjIoEEhSAQAxqtr4VdUFPDisUL2KI6paAIBVkm+tes/YpEw80pEIYxQvbHJUCQkJkEhMP3lIJBKnlve4efMmRo0ahebNm2Pw4MEm282bNw/e3t7av9DQ0CKzsaAnPQBozgkySmtVXQz2ta8eaPI4V6lx/T3NqKyn6CT+kMzBP9JJ2CWdrN0fRFIxX/JjgXYVhDeE/BWN0rtmfc2bZMENOSaPKwmcin2ON388pX09b7dt6t4M41BKtVJdujTghHWrEJKCWy5DMEq8HQAQT/XFr3fxzQAI17K1gUOn779gEYLFFJscVa1atbB8+XI8emS4cJ+QkIDly5ejdu3ahTbOFp4+fYoePXrA29sbmzdvhkhkWjR10qRJSEtL0/6Zq7Nlb347EWd2vwRKbeTcdSM1qMyJwbpJjc/oXuQrI12tvt5CdB01uAfwIvpPkb1Fx9VhvrbjTQRHla4eUWXADRnq9y3J03+7Lj/BgFXW1UZiWIdcyRsVpNVcUxoCiZC7l3/tdrOqDQAhcMgXGVa99/Tt17D32lOrjmEUDVarpwPAokWL0KVLF1StWhV9+vRBVJRQ+vzOnTvYtm0bKKVOibRLS0tDt27dkJqaiiNHjhS4TiaTySCTGQ/pdiQ8TzFTLTpbDs/RWXQWf6g6Ilfn66hEnkFChKnB7XxLq84v4gjWvd8U95JeYrpOnlY6PPCK/H9ozN1CB9EFlMNzHObr4jhfE11EZ/GJeBsA4BPxNixS9tMLh7cGzYgqleZN4TyhfvAkj1COvMC9fFJQJYGXcqVdklAZ5smvc6nBT+10/lK1xl+q1gCALOqCSzRSr50SYqRTV3iRbPiQTKRQL6vev7Cq7QzHYJOjatWqFU6dOoVp06Zh69atyM4WnspdXV3RpUsXzJo1q8hHVDk5OejVqxdu376N/fv3o0aNGgUf5CQe6ET7/SBdhHpcLJpwN7Bc+Zp2u2Yd6RIfCd31qbNTXzEqlZSfllEBaBjmq+eoACARvtjFN9NOkWi4pyyPIaK92uCN3dKJWKHshXO0Kh7SIFgTJRjFCSPtZ/DVbntK/VAVj0rkiIpSinH5Iil1uf44HTXKW3dDZBin7YLDeq/bcxewRrpA+3qLqhWO87XMniONesCLZCMQqbiPcla9v1jEpGyLIzY5KkCY/tu6dSt4nkdSkhCOHBgYCI4r+hxilUqFAQMG4MSJE9i+fTuaNy/euRHJL/MCFupxQuhsD9Fp9BCdNmgbS/V/aAEelo8AXSQi/PVRC7z+w/EC22bDBR3k/8MiyXK0El1DNS4Bi6Q/AADG547AZpVhgIYxXJGD+kRYTziho6ShCagoh5IXov7H6Yf49/ozk/uHrj2NU5NfKUKLSidn4vSvjde5GHwrXaF9nUS9cJUvOAfwGg1HKJKwXjoHteWrkQWXAo/RMO7PS+hTv2LBDRlFSqG9CsdxCA4ORnBwsFOcFAB89tln+Pvvv9GtWze8ePECv//+u95fcSNNK+qqv3D7mPrhMfVDIvXRbnukFqLlCNAyyrKiibpEl/O0uG0SfPF+7nj8q2qot70dd8niczThbkFKVEigAXhA86oBmwpRLw51qXJyVcjIycWhW4ngeYozcS8wYfNl5OSqcOdZBmb+bV7m6lm6HPeTmQBqYZmRb/Q/TLxb+/+BiqloIV+GNJhOB9CMhf5QdQAAiAhFS856ZZrDtwovNcawLzaPqFJSUrB+/XrExsYiJSXFIFqGEILVq1cX2kBLuHjxIgBgx44d2LFjh8H+t99+u0jssJQMueCogpAKAFBSDtHytdo1Kh9k4KLLCABAjEqI1OMpUKeij9XvZSqwwhQ5kOGD3M8QpUzAftkXAAw1+szRQn1jOKaqBd3pQk3Bx/wh6tsuPEKN8l5OTbhs9tUBpGYL30m4vxvingtTs3VDfZCUIQdvgS9t/7/DiJvfw5FmlnpaVw3A9SdCikgoeYaa3AMAQIOcFXiBgqdWNXegGL4u/lPVQVvRZQQQ6wuGfrvvNtpVCyq4IaPIsMlR7d27F/369UNmZia8vLzg6+tr0MYWySVbOXz4cJG9lz3IyFGCAIggQoTRIxqgF0iRCk8sUfZBeTzHOVo1b7tOeQ1Hc5dWRDf5POyWTUJFkoxI8hixtOAk7rbqUiLHeP1Ea82IKr8w7hd/Ce0PjW+HCCNCu0WBxkkB0DopAHjwPBO/nXwAWkh9RIZ5shRKrD0eB5H6nkHA43fJPADAMVVNi5xUfjSzEr6wXqHfWDUAhnOxaa7us88+Q0hICC5duoTU1FTcv3/f4C821rhsCQNIycyFiCMI4wRHpTtFpmGRsj8+V34IFfLC0OVGlMstYfXgRjYdd4OGIZYXSousk34FGRRm21cmj1CdE0L8T+RzVHd4IdIvknuKZZKlBse+/dMpg23OZmVMLLIUKuimvEmgxHuif9CYGOZP2aN8ellkxeF7+GbPLZyNE8rANCG3EMYJDzT5g34sJQXClLcm+ZxRsrHJUd29exejR492Wq5USedZhhCCG66uehuXr86UKQY2qWTT+7WvFoSaNkaljVdXCC5HXiCKGObN6aJJUL7IRyJJLZ+k4Sn88YeyPQCgG3dKW0RRg7HyIUXBrafW5dqMF/+JaZLfsU46F02Ivo6kMUFgRsFkqRVa5OoiopqoUQD4U9XOpnNqUiP8iHXfL6N4YpOjqlKlCjIy2AVgK+cfpEDJUwQT4QlSExFXEE0i/ApuZASOI9g1ujUmdqtu9bHnaVVc5CsDACqQZLNtaxBhTeGYifDh6cqhAIRFbi/oBx+8dFLZ8C5m9BaNzV73Ep0AAEiJCsPFO/X2TdpyBfN232DqBlaiVA9ZKaUQcwTh6inxn5Td9GYUrEGjM9lPFAMZFAhCCn6UfIu1kq+xXLIYjYyMiBnFF5sc1Zw5c7B8+XLExcXZ2ZyyQZp6TcQfwsLxcxvm4G2hWojlEYC6PNJG7JkPLY/mHgIAbhhR0gCEZMw0KhRL1AjXanBG9F9cAZF6uv6GA4+PRVtRXqcPXhFdUE8B5jVc+V8sJm65YpFEFkNA49iV6loxmmKhls40GOOQqp72/w24O+gnikEn0Tm0E11Cd9FpbJbNRkvuiu1GM4oUm4IpDhw4gMDAQERHR6NTp04IDQ01kCoihGDJkiV2MbK0kakQRg/+6oik51Zmz9tKu6qBmNazBr7ced2q4x6rQ+Q15TuM4Yoc1FdHB96gpqcoX1BPeJMs+CMd9+BchYr+K09Y3HakaDvGSzYBEJJOI8hT1OfuYpNsNlYoe2K+8k1t241n4vHnmXiMfaUKxr5S1dQpGWpUakd1/Uk6RBzRBhnlzyG0hufwxglVDTQXXUcQUjDeiCzYl+I16KBYaORowXkWZUAYwzw2Oaply5Zp/79z506jbZijMo2msqhm/rwgRxXkKcO+cW0K/b6EEDSPtD4XS5PL1Ut0AvOUbxpIK40Tb8IY8VYAQDaV4r6ZG0wyvBGBZ+grOoLTymi9ff9ceYLG4X7wd5eC4xx7k0h+KUdShhwyKDBSvB0DRIchgRJvKKYbkXii6C/6D4AwHbVAOQAh5AV+k8xDJS4JQ0V7sVz5qrZYn2YstXj/HeaoLOBpWp5sUmX6EJU5YUSlCcCxlcfqlIhB4kPgiOEIN5J7ChkURkvbJGbIEexleaIww7HYNPXH83yBf0VV3bekoVTxyFVRVCRJqKDOKdKMWExRyd8NPm6FrxMFADk2RKbtUAlKHyEkBRuls3FM9gm2SqfjN8lXOCQdp3VS6dQVi5Wvm9UIXK3sDgB4XXQElYi+2sPIdefReO5+/HTU8RGjv58U1tM+VTvZEJICf5KBA7LP0ZU7jYokCRHkCeqQe5goXo8wLhHZVIpvlf0hhxQPaAjaKRYhlg+BjOSih8h41OL4TZdwNq7kqXEUJbr6epqRzy5VEyTBMO3FGp6pVfubcaaLpzbhjK9V7TOjRMIoepwjJVGGScwQ5JPGiYVppEtGIuTyY8+xRZSRWj8F8Rze2K+qDwBoxN1GBfIc9bm7aC26ighO+EFvUrZBHflPWKnqZXD8koH14OcuONo9fBOc5KMhISq94ne6XHiYarWN1vA0LQeHbgrhz++I9gMQKsRqWCFdjKOyMTgk+wx/y6bhQ3XQxBzl28jWkePhwWGDSohkfJUzPo24+VwC+q2wfIqxrKFU8Th1X+PI85Qk1ii7WnWePz5oCi8X/Qmiv1StcZKPxlU+HJf4SCxR9sUxVU18pBiDP5XtAAC/SeeDwHB9dO4u66bHGY7FZmUKADh58iQOHTqExMREjBw5ElWqVEFWVhZu3ryJqlWrwsODVT/VJSMnFy3mHwQBr02Mna8cVOBxN57YL8LSy0WCKzM749/rz/DpRsulkcbmjsJA/hC8SCau8RGQQAlXIkcK9UQ6dcN5WgX5XapMzGHmqzXRrVY5uEnF+OBXoZrqDb4SmnE3tFGP+RGLHPv81H/lccS/yIYMCrgR4cGhu2IeypHnGC/epF1r02V67mCsUxnq+R3k62My1qMOd8/kNBLDNDsvP9H+PwQv4E7kyKUiXKRRFh3/aaeq6FA9CLUqeOPyzC54kpaN5vMOAgDu0QoYqJhm9LgUeGIADgMAdkmn4FtlPxzg86TDcnJ5XH2UxkrUFxNsuiMoFAr07dsXLVu2xJQpU7B06VJtLSeO49C5c2e2PmUETa5QdRKPAJKOTCrDWd6wSnJ+WlS2fl3JHJ4uEgNx25HtKqNrTSHKqn/Dini9QZ4wJwHwEm74SdUDC5VvYC/fGDv55tikaof9fEOcptFQGnnmqR7iiUFNKkEq5lA1OO+hJZEKUzqmHJUxRq07j/CJu+wSHRj/QlCIb8LdAgCkUA/E0nI4xtdGH8Vs7FI10ba9yYfiU8WH+NVI8UoAuEfLI4EGwJ3ITWoiusvyAo3+OpeAAzfYtJIGjWQSAFTmHgMAHtIgo9eTMVpXCdBzJuW8XS067iRfQ/s91+AeYLX0W4QR/VpUYzZcsOhcDMdjk6OaNm0adu7ciR9++AG3bt3SyxtxcXFB//79sX37drsZWWpQd5Pmif0sX01POik/hAChvq5YPLCe3U1pHO6H9tUCMap9Zfi4SfBWszAsHlgP/33eDgv610VkYJ6ckcjGwAYXSd4NOtTXTft/jbxNEIw7qjrqG09GTi5OxT7HS7kSu64IT96pWebVMQpCt9z4q9wxAMDfqubQHQ3Ozn0XG5Tt0EH+P3RVfI0tvOlAFgoOR1RC4ruxkRgAZMpVeJEp2P3Zpkt475ezhfoMpQnd/LmGatX9/FJdpi6/Ob1roV6oj8H2KzM7Y/ZrNeFuotK1hk9zR2KJsg+S1MFMM8S/QjfV4F5Spo6ANMOZ2OSo1q9fj48++gjDhw+Hn59hEmp0dDSTUDKC5iapCSK4Z0Y7T0SEPJ5v36hntbCsJbhKRVgztAk+71IdF6d3RgUfV7hIRAjzFxzUq3UF20L9XI0mvlqCTJx3eXEcgURd6+eBunx4Fc64ksPcf24gJ1eF0esvYMCqk8jSuZlN334NNabvsc0gAC3nH9T+vx53DwBwiK+n1+YZ/DBROdwibUMgLxx/mOgfbQ5Qfj7+4zwycozf9FQ8xc2n6Ub3lXY0EbAA0FkkOPD7+fKneAoMyqfKMqRFON5sUsloCLmniwTvNg+Hr7v5aVg5pFik7I+/VUJh0g6ii5gj/lmvTd3Z+yz/MAyHYZOjSkxMNCufJBKJkJWVZXJ/WaXPcqEuVJjaUT2kphWaq4Z4YuvIFjarURSWUD83xM3vITgsG3NXZRL9J9ouNUPAEaFekIoShJAUk6Oqx6nZuP1M0GnL1LmZ7bn2VCu5UxjckIPKRJhquspHFtDaOJon/b9UbXCDrwQpUeEXyXwEQF/UVEQIjt97jilb80pOpOs4rWUH76Lr4iNIySzcaLEksvVC3sOKRpfvipGaU7oPPT8PaYSZr9YsMIWharBlCe5fKwfiuEqonTZAdBhi6KukKFXOL0VT1rHJUYWGhuLmTdMSJMeOHdOWp2cYUkmtIG5MjNZDJsac3rWw85PWqF+pcOG59kDEcTZrh0vFnMFrQgiy4YLbVFgDq6se1eTn1xMPoFDfINKz7T/9UoPEgSMUT6gfkmHbgrlGfCITrnhbMQkP+CBU4pKwWroArsjLDVJRCo4Af196rN1WZ+Y+LPz3Nr7ZcxMrY4Q+mLrN+tpJpQUJlCgPIV3jJG9YnVsj+PtKdDA6VDf83Rjjh7cbWNROAQneyp0MORVDQlQIybd22nmRaZktRtFgk6N68803sXLlSpw4kRd2qxmC//jjj9i4cSPeffdd+1hY6qDaUhfxNNBg73+ft8PbzcJsXheyN+JC2CHNF70nE3NaaaHLav1AU7Wu1h6P06rFf7PXPrpsOTrCt3W4+wCAq3y4TecK8tQPRnkObwzOnYAX1AN1uVjMEv9S4DmWHriD5YfvaUeIu648KVNP77efZWivr/IkGRyhyKZSJBl5cGgaIQQUWZNeIRNbrhNIwWmDfPKP8mNZUUynY5OjmjJlClq0aIE2bdqgffv2IIRg3LhxqFSpEkaMGIGuXbti3Lhx9ra1VOCDl/AiwlpVvJGpP38rSs0XBYVxmPkdVV6+DHBBHX7cRh2mb4x0dSLosbvPDfZtOZ9gtT0vdKbWuojOAADO87YpR/gaScCOo+UwNncUAOA10TFU1lGbt1T6b+3xOJvsKYl0XhSjFaQNVctzJdBA5E9zmN6zBl6rVx7/jG6Nzzo7TulDM7K2pdgiw7HY5KikUin27NmDNWvWIDIyEtWrV4dcLkedOnWwdu1a7Nixw0D7r6yjiYzU/CATqU+JyLnhCNHeTKxhao9ovN6wot42eW7eaEGzDhFMUm2yy5ocMA0P1EURPZCFhuQ2AGAH39ym9++X77NpiOHr4CQfDRlRYpDooNE25pizy7SKQmmCz3dNaWYZjK3btowKACEENcp7QeLAHLtkqnFUZTOwpThjdThZdnY2pkyZgvbt2+Ptt98udmXeiyuaKS/N09ozdYh2ccfW6rZvNq1kEK24a3Qr1Jv9LwAgHUK4ujuyDY61lPCJu3BsYgdU8LEsd2bQjycBANHkIcSExyPqr36Ctw5NyfkqwR4YsuZMvr0Em1Vt0Iy7YXa0aI7YpJeIDCzdyfK5vP4UZyUz0+G2qKnYgiZMvSV3BX+oOhbJezIsw+rHE1dXV6xcuRLPnrGkRWvQKES7qKvkZsNwiq84ijWrVLY5Khcj6wM+blKU9xYkiF5Swbm4EzlEsD2Kb9yGi1YfU1u9PnXdRDkSY4iMfDftqgVh/QeGFWhP80LdL+Hma33/zd55HTsuPUbyS7nVx5YUlDrXlRdeohN3DoDx6XBHrddGBLjrvb5OwwEAbbgresEwAPDL8TiT6QUMx2PTOLphw4a4erXsRihZS06uCksPCMmMrhBuPjlUf9rvr49a4OL0zkVuW0GobCwCaCp02F2tx5YOd62+nrnyIQVhTWVgjZNsp9YYPGOBKogGFQVeq1ce56bqyyjVrGCofP9MvSjvQnINCkRawotMBT5ZfwFf7y69xf1qztir/f+n4s2I4h4jhXpgp0rf8XeqYVmEX0H0qCMo+s/tIxT1/HlIIwOVkz9UHZFBXeFJslGLxOntm/H3NdSeuU8bfcgoWmxyVIsXL8aGDRvw008/Qal0TmXWksS6Uw/x/SEhBNmFCE9lOfnWp0L9XOHtKjE41tnYuwBglSAPcARQQYSbNBQADG4K1pBuxVNunYo+8CJZaMYJgqP/8o0sPlYm5vBVn9oGwS75A0YAIZE0RV0KvQF3x+L30HA5QZgezh/eX1rIXwH5NZGQXzg1dxieIS9vcMXbDbHy7YYoDHHzeyBufg98/2YDxM3vgbeahuH+vO7oUD0Ymz7UX5/kweGEOjS+Jhdn9HxflZE1xOKGTb+EIUOGgOM4jBgxAl5eXqhSpQrq1Kmj91e3bl1721piUenMx2um/vI7KglXPG9KtgRSmCMqyBOceo7zmjqgYoDokFEFa0vQBEgURLZChT3XnqIOuQcpUeEBH6RXNyvAw3xgS9daIXCXGS7pmlrcv6gOv58jWQMvvLTIxvz4F6CsUFJJ1ynr4Y5s+KoTfQ/z+veMct4uDqlLpkmlKW9kbVOjihFGjC9t/HLigd3tYRSMTXdHPz8/VKtWDW3atEHTpk1RsWJF+Pv76/0Zk1Yqq3A6i09B6ii3VKq/QCwytghSDHCV2Dd6s0qQh9b5XdOsCYiu4CPRDpvPmZiRY3Y/z1N0WSwkbWqm/a5QffWDXaNbY4WZp/c+9Y0X8TO1fvJZ7keI44NRkSTjLRui/wDrpjVLErprbyFESFlIp67IhL7j8HOCo9asW5qrYcUoemxyVIcPH8ahQ4cK/GMI6N7MoonwRHYzX7n24jqiGtw8XPt/e7jSNlXzorp2qxojkwpTaV9I/kRPEzWdCuKnI/fN7o+5k4SHL7IAULwv3g3AUP3Ax02CrrVCjBwt0CrKdHFLXWV4DS/ghY2qdgCAN0SH4ALrAyMuxqcaTJOVBp6/zMtn684JBSc1RQ51CfF2fIXdW3O6okftvJG15rqI5h4aFPbUMPNv/fV5pYrHryfi9BLKGfbFprvjr7/+iri4OJP7Hzx4gF9//dVWm0oduo5KEzgQm69cu4ukeDoqb7e8dTNLoq9eiQ7G5Zmmg0J01+FS4IXa8tW4xwt9sUz6nU025leJ0CX5pVwbQq7JnQKATaq2eu00DwonJ3XEnrGttdt71C6Hg5+1NVsjq28D4zlVB3mh2GQE9wwfia0fMZ6JS8H60/FWH1fceWNl3gOJZg3vNjUcsToyZ0qDTCzCW03zHhqfwRexvPDAsl06DTIY6i+uPf4AfZYf0z5E/HLiAaZvv4bDtxIdbm9ZxaYrYejQoTh+/LjJ/SdPnsTQoUNtNqq0oTv156lWpUinbnptjKlAFzcsWa9aPLAevFwsDwrhwWGqcpj29efiDdr/1yH38Ld0CmKkY/T+1kvmwAPC2hQhwvrTxfhUo+cfvT6vppCm3lECDTBIttashYR4u6Cajpjpm00rFZjT1L2W4Gjz+/GbtJJ2rUojgGstC/+9ZdNxJYEw8hSt1BV9Fyv76e3bOMK2RGxbaBEVgA3DNdGGBCNyPwUA+JKX+EC0y+gxFx6magua/noiTnsswzHY5KgKmo7IzMyEWGz/0hQlFV3lZ024sibhFRBCZYsz56d1wq/DmhTcEIKobkHMfq2m3usTfN7rUeK/0YK7ikCkYrR4C+pw91GJS9L7ay66rs27oRT49t/b6P39MaPvpTvNVIEkAwAOq8wH+hBCMKiJEJFoSSRmJX83fNw+Su+BRMNqZTcAQJAVRSJ1SX6pwNVHpVPSpxV3FRKiwhU+HHfyjagaVPIpUltCvPKmGe/QvBHyeMkmk8coVDzuJmZoA3qyFEq7R8kyBCz2JpcvX8bFixe1r48cOWI0ND01NRUrVqxA1aqO0+Qyhlwux/Tp0/Hbb78hJSUFderUwZw5c9CpU6citcMYR+4IN8h65C5cSC5yqQjP1VnwPm4StK9mutxHccDPXYpwf/eCG1pIwzBDVfj7fDAiOGFN4A/pV3r7xueOwF1euJENFB3EQPFhvCI6h618a4Pz5EdXWaMCETQDH1PT600aBjSuhE1nExDm71ZgWwDwcBEbTe3VRJHZOqICgAl/Xcau0QV/1pKGtzoa8jofDt3RSKNwX7NTrY7A0u9ZlyuP0rDnal79sU83XsKnGy9hRq8aGNrSsFQJw3YsdlRbt27FrFmzAAhPnCtXrsTKlSuNtvXx8SnyNaohQ4Zg8+bNGDt2LKpUqYK1a9eie/fuOHToEFq1alWktuRHU94hmhMCKY7zNZEN4QkuNSu3REz7+bgXPLIw5oCMUd5IufABiuk47TLKYPslPhKbddaTJColBooPo4foNPaojmMH30K7L/5FFkL99G84uoP/ctA4Kn+9NmNfqWLwvvVCfXD3q+4WfR5AGEkae5q+SyuApwT+JAPVyEPcyhdEYwm5pUhRXVfjz5sIswtp0H8IkhWxkwIMp94/VXyIhdIVAAAOPHgjk0/TdMqyEJJ3rc3acR1DWoSXiN91ScHiK2L48OE4c+YMTp8+DUopZs+ejTNnzuj9nT17Fjdu3EBiYiJ69uzpSLv1OH36NDZs2IB58+ZhwYIFGD58OA4ePIiwsDB88cUXRWaHMW49zdD+30u9rmJr/SNn4mlmSq9meS8cm9gBf3zQ1KJz+bhJEJgvbykRvpBTfWeopBym5w7R23aGVtdOp+UPUGj9zSFkKfRH+bquo7x66s/QURV+9O/pYrx/ciDDAV6oi7RBOgd1yV3UIfe0f324I9gqnY4fJd+azLfKr6BQktFN0O6gThVIovq/h2cZzpGO+v7NvPpV2/hW2ojUFZJFeEe0D37IE6sl0JfVyr8a8qIMFsF0JBaPqMqVK4dy5YRF40OHDiE6OhpBQcVjymrz5s0QiUQYPny4dpuLiwvee+89TJ48GfHx8QgNDXWKbSv/yysM6EkER6UbSFFc6k4VhO7ToaeLGFWDPXHugbDuYu20FCEEUUGeSHqpX76jjvxHNORuI4n6IJo8xHkahQQj2m9LlX3wtuhf1OAeoAaJ02q0AcCfZ+L1pl0066kiqFBenbPzGHmOql0160VpjWFubW5q7lC04S7Bl7zEdtl0k+2+wzIMzp1osL2kO6pTsc9x8GYiBjQOxaL9QpRfB+48qnBCGZS4fKXn7ybaliBdWHrUKYdRfwj/58HhFB+NDqKL6Cw6h86ic/hSshaDFFNwgq8JCkFWyxQN5+zH/k/bICrIsirDDPPYFPHQtm3bghsVIRcuXEDVqlXh5aWvu9akiRAAcPHiRaOOSi6XQy7Pe3pLT7e/vL+uI9KMqHQDKapZWC67ODCoSSWce/AC+8YJ33/8iyybF48HNa2EE7H6jkoOKY7zghab7oJ2ftLggf18A/QQncbroiO4rgzX7pu14zoGNq4EV6mQqJyaJTzB1yX3ICO5SKXuemtU/Rva5wFGV7VC85VruuYZ/LBM2RsDxIcNjsuhUiTDG824G2jBXYMIKqign2StsFEYuDhw9VEaBqwSVOtXxsQCEKbJaqjzCa/xYdowfg3vtXLe+s6o9pW1cmeTct/Hx3QbPEkWeqtlnr6V/IAu8m+QgYLXtOb9cxOrhzR2qL1lhVIRmvfkyRPtaE8XzbbHj40vZM+bN0+77uYodB2VZkSVoTOiWjO05FzI8/rW1nudfz3IGl6tW14vdNxa/lK1QQ/RabwmOoZ5ykFQ6lzK0dP3YOU7DeEmFeG5egqmg0h4ryN8bb31Bg8TU3bWopn6E3MEzSv7awNoNHyn6ovvVH2NHsuBxy3ZYEiICkFIxRPoT02W5KUOzYOCBhFHoOIpJESYoj3LVzVwzN3MJF47mvGdq+HY3ee4nJCKZ9QP09SpEzNzB+OIbCzKkxc4IBuPgYqpiKXlzZ7rwM1EqHhaYmZNijPFM8vUSrKzsyGTGSZ9uri4aPcbY9KkSUhLS9P+xccXPrlyw+mHSNGZnzY3opKJOQR7OT77vrjy07u2h+XH8HWQRL0RQNIxSrQdYuivTY347RzeWX1a+1pTsPJavtLz9pKIig7xwpzetXBofDtM61mj4AN04MHhGYRAlHLEsJpxSRanyO9kNVOxMvX3lWvkWdmZN3ZCCCZ0rW6QapAKT7ynGA9AkEFbKlkGX6SDU2tUiqE0mhz873VWDskelApH5erqqjeFpyEnJ0e73xgymQxeXl56f4UhS6HExC1XMHnrFe023QveX105VKPzZ28dvZKGm8z2z6+EGJtVbQAA4yR/4aD0MwNnpX0f5KCbVqpHPzKRt5MX4DiCt5uFIdTPDaG+1o80NQEe5Y04qpJcl8rQUQn/StTflQKG0aTO9svNK/vjvdaG04+naTT6ymdCSTnU4uJwweVDbJHOwJuiAzgn+xC7pJPhCX2R5H3Xn6LpV/vx6Z8Xi8j60kmpcFTlypXDkydPDLZrtpUvb36Ibi9ylcJP7KU874b528k8teVAtSBtovpm6SYt246qaYQ/Pu9SzebyJstUffGjUgghr8QloTFnXMWhDXcZUqJCGnXDP7x+ZKKPm/1Lq7ja8L0+UTuqXiLjeodrj5nXMyyukHxqDRonJIUwJagopqsPjcOMi2qfp1XxqypPIqwedw9fSVbDm2QhinuMWZK1eu23nH+EZ+lybLnwyJHmlnpKhaOqV68ebt++bRAMcerUKe3+oiBHXVTNmEIBQBGIVAB5T/U+bqWzjIOliDiCUe2jcGlGZxwe385om3L5hEmndI8GAAxvE4lMKsNc5ds4qhKULVpyxot5dhKdBQBsVLXTk07aNboVqocUbhRtL27xQlBHF9FZo4UkZ+64XtQm2QVT62tSzYiKGjqq4jDV2SLKH5VMrMHOUb6N7vKv8IeyPWL5EMTyIcilwsNJX9FRNCTGH5jS1Ot1yw/fRf3Z+wpU/WfkYbOjSklJwfLlyzF+/Hi89957GDZsmN7fe++9Z087zdKvXz+oVCqsWrVKu00ul2PNmjVo2rRpkYWmy3OF+WrNFPvmcwnafb7IgJQIjkyTR+VfQA2kskR4gLvRNavDn7fDr8Oa4MO2lXF6ckd80CYS9+d110uC3aoSwuNbctcMjhdBpc3X+VelX8ajZnnH5bNZmlOmYbWqG56oFcQbEOPFFhPTS96NjTcRFSolmhGV4YjWnMhwUeEmFWPHJ3lCAbr+lgeH6zQck5UfoINiITooFqKK/Df8oWwPABgj3mL0nHVn78Oj1Gx8s+cWUrJyMWO74fXKMI5N4+69e/eiX79+yMzMhJeXF3x9DRUJijIru2nTpujfvz8mTZqExMREREVF4ZdffkFcXBxWr15t9fkyMzMhEhlO34hEIm2AhqadLi/SMsArcqBU5CA7OxvjN13S7vPPfYZMjuI59YBcoQSgxOOkFGRmZoLjOL11tKysLJN6ioQQuLm52dQ2OzsbPG86J8fd3d2mtjk5OVCpTJc4sLRteXcCSqlaa68S/jh+D0p5DhpWcEPDCm4AVNo+f/Y8Tdv2Gg2HXEnhr3oCXqF/M29AbkHKZSBZ7IFzVEjspapcUJXK4PvT4OrqCk6tpq5QKJCba7qKsIuLi/Za0W0b5iUysIWIJSCcSG2DElSVN0WcDeAArY4+omMIzH0CSlQGbTccv4P3Wkca2CCTybTamkql0uh6rQapVAqJRGJ1W5VKpV3zNYZEIoFUKjVom/7ypUE/uIly0VgmjDqe8j56+8d3rgo/GdV+N7rn5XneZGAUAIjFYm1QFaUUWVmmi2pa0pbjKXhFDgjHAeK8h8r8n0fDstwu6Ot6EG3EV+CSK0cOZAZtm8/+R/v/fZcfIlNeV5vaYOp6BFBq7xHmPrMe1AZq1qxJo6Ki6OXLl2053CFkZ2fT8ePH05CQECqTyWjjxo3pnj17rDpHWloahTCNbvSve/fueu3d3NxMtm3bti0Nm7BT++fi6mqybaNGjfTOGxYWZrJtjRo19NrWqFHDZNuwsDC9to0aNTLZNiAgQK9t27ZtTbZ1c3PTa9u9e3ez/aZLv379zLYNHbeZhk3YSVUqnr7z7rtm21b8ZB0Nm7CTNpywjo5sJDHbdv3HjbXfhVeTvmbbXr16VWvvjBkzzLY9ffq0tu0333xjtm3woK+0Nvh1+tBs28B+M7Rt/buPNdt248aNWhs2btxotu2aNWu0bXfu3Gm27bJly7RtDx06ZLbtN998o217+vRps217tK5F6QwvmjK9HK087FuzbcePH6897/379822HTlypLZtYmKi2baDBw/Wtn358qXZtm7VWur9ls217RwlpXSGF/188mc0bMJOSiQyk21lobXog+RMrR0BAQEm25b2e0RaWho1h01Tf3fv3sXo0aNRu3btghsXES4uLliwYAGePHmCnJwcnD59Gl26dHG2WVo0036MgulYPQgcR0ys9eURrJ4iegFP0AJKLGSi7KYBFDc0a3Bf5r6DrBLyvdQqb9la5gsICfxNuZsWtdesazPMQyi1fumydu3aGDRoECZPnuwIm5xGeno6vL298fjxY6Oh6gVN/S3YexM/H40DAJyd1glNvj6i3beazkIz0U2MVwzHLl6otdOisj9WD2lcaof11rZNzVKgxf+OoWfd8vj+zQaQy+VGFfo1jFh/BcfvPQdPgaOiEfCl6egjn4mbNEzbZrhoJ8ZJ/sLfpB0mqUYAAKgqFyverIs2VY1LgNlj6o9Sihl/X4WXiwSr1deEuak/AOjFHcc30h9xTFUDH9DJBm071wjGkkH6Kg5A8Z76e23ZUdxJfKkXIHHG7RMEizPRVT4fN/iKoLlC/tHgFmGY2C3a5HmLeupPg0gkwsd/XsX+G0JOlKmpPwB4TXwC37n9CABombME8Qp95RlOLV5LAYAQ7BzXAXUq+gAom1N/6enpKF++PNLS0symB9m0RjVnzhyMGjUKb775JsLDw205RbHG3d1dr5PNtdOFSFzASQVH9iLf7z9clg53jiAFweB4oU25AB+j76N74RSENW1N5ZMVtq2u8y5MW3d3d8x6tSZerSeU9JDJZEYTuTWEeLsKa6GUIkPkg4pcBkKQg9t83nv4iFVwFxPkKPO2EZEEQX7eFn3HUqlUe6O0tu23bzbD8bvJWHP6qUFbIhKDiPR/fulcANylBKH8SxCFyKCtSiQt0GaxWGxxLThr2opEIov6S9NWJZJi+aF7uJuiBJG4aMe7nshCsFi4IcfTQBDCgah/MyH+xn8PGjiOs9gGQohd2+qWmdf8xo2xDy3xiG5BBfIcXURn8bO0m+H7IS84Y8v5R1pHZam9QOm5R5h7wNXFJkd14MABBAYGIjo6Gp06dUJoaKhB8AEhBEuWLLHl9KWChftu67yiCNLmUPlot1qrYFAWGGJFHR+JKC9LJ5l6A4hHAPSLDLpDePrNP/XX0ESejL0J8rI8gi1ZrSIezcXDH2l4nk9lv6TU5MtWqDB0zRmtaLEuoUQo1/6ceiIT+je64W0MA0WKC6fuGyZiG0MOKX5VdsYkyXo0567jZ5Who9Jl7fE4jOlYBb7uLALYHDY5qmXLlmn/v3PnTqNtyrqj2qcjnVKFPIInyUYOleCRWhC1ZWV/+LGLs1DoSu1oQv4DiL6jcoMwtM2ieY4qMsB+RSALItDT8tFmMs2b+vhc/CcmKofr7S8JfornKaKn7zG5v7tIyG28m6+ib7VgT0icUIfKUir4uCLuuenpQV1O8MIDaFPuhslaVrrsvvoUbza1vk5ZWcKmK4Pn+QL/LB3SlQU6cBcACBewJuHU3YKS7QzziLm8y1czGgkg+knf7kRY09AdUcUmWxgSawe8XMSQiS37mb1AnqOqxiUY7DeVk2SK8Im7sProfauOKSxLDhjPAQOAKiQBw0XCg62mppiGle80NHZIsWH98GaIsPAB5xoNRwZ1hRfJsqiys9LMOg9DoPg+wpRQjMWeNeVuAAD+4+sCEAqulXX5JHsgERGt8kESNT6i8oShoypKCCEo72PZXL6uinh97i5E0H/Ys1SXkFKqzeH7cud1rSJCYei+5AgO3ixYYNWco3pf9A+kRIXrfBj28frJ3eFFOMq1hXLerhjaMtyitiqI8IAGAwCGiXYX2D63BJdxKSoK5aju37+P5cuXY8KECZgwYQKWL1+O+/eL9gmuuGGo/EzRQXQRABBLhbIjhBC4StmIqrCIjI2o8q1RhaiLJT6lRbMmZYwwK8qhjFaM0v4/vySUpbW/EjPkeqoolxJSLX5/Y1BKcf1JOubsvGG2nVLFm1U+r8MJ9aiWKvvA+CNd8aZLTcvLjxzi6wEA3hAdRnv1jIopElKy8LwECw8XBTbfLT/77DMsWbLEIDyR4ziMHTsW//vf/wptXElFzBEo1TeVOiRWu/2+TiVTW4VYGXmkZSu0T6OaNapA9YjKBxl4V/SvdgrtPu+8Gkch3i5614Q5/uZb4hN+G6pwjxBFHiMGdbX7Tt1/AaWKh7iAtRx7a+Up1HJV8gIqDd9+9tKkM3WBHFWI8F1c5Cvr7ds4orkdrHQ81pTk+VbZH8FIwRvi//CNZCUay3+AKee85lgctl98jPPTOtnJ0tKHTSOqb7/9FosWLULfvn1x4sQJpKamIjU1FSdOnEC/fv2waNEiLFq0yN62lhh0f6oDRQcBAJf4SMSrpwMomKOyB4dv5Ym3akZU5chzDBXtxkWXEfhUshkAcJuvgEewT8l5WwjwkFnkpDTs4YVimtWIYX20PdcMQ93zI8+XRFpYv6VxUAU5qj1XDSsYaKhBHkBMeCRRbzyF/ujWXqVWioJfhzUx2CYy6n8IpimHAgACSToC8430NYjVI9AXmYa1rBh52OSofvzxR7z66qvYuHEjmjZtqq3l1LRpU2zYsAG9evXCypUr7W1riUG3qmcbkVCb6n/KN/T2V/S1PAeBYRzd3BbNtKoPycQMyW8AACXlkEy98GHuOKfYp+HVeuXRobrx5GJjaEYc9bi7ets5AouCIwpyKNaiEVvOUijx17kEPDMhjrv04F2j2wGgJhcHALjCRyD/yMLTTlWWi4I2VQNxdEJ7vW26S0y6TksOKW7zQnTjDMmv8EQWpMhFFEnQFlm0dDq3uJKapbDLGmhB2OSo4uLizMoTdenSBXFxcbbaVCpQ8RQBSENFIpQkv8hH6e1vHO68NZPSQpuqeaOkHBjmKzWVf49G8hUFlgx3NFWDPTH7tZom9y/oV0fvtcbe/OU+eApcfJha4M1N41g02CA+o4dm6i9LocJnmy6h5fyD+O+2vm26ava6VCaPMFO8Fu+I/gUA3KaGlQwcqWLvCCr6uuGbfN9ZHvpO+EvlOwCAnqKTuOLyPm67DMZ+2Rc4LPsUVUiCdrTrjKLGuSoeShWPXBWP9385g/CJuxCnjoi9m/gS3x+6i8O3ErHh9EM8Ss02CKZRqnjUm/0vBqwyXkPNntj0KBMUFIRLly6Z3H/p0iUEBjpvqsUpyF+iaupR1CVynIPwRPya6BgAYeopA/oL6sFWJIIyjLOgX11sv2g8/DeBBhgkzGr4X/+6Rrc7kvy1x27N6YpTsS/AU4p21YLQKNwP7f93GADwXJ1P5U7kkEGhV0OLQrjBiDjTUaNb8xXpK+wze7ZCX+qJAjhx7zna6jwopGQZn7paKPkBddVBFErKIYbX1wetU6FkOSkNbzQKRVKGHAv2Cirwvw5rgrMPUrA0X9TjEb4O5ucOxETJBr3t5cgLTBX/jsG5EwEIDyEHbz5Dh+rBDrVb89BCCEGLeQchk3BISMmTpWr3v8MY1b4yvj90T+84zRrrnbndkJadix2XHmOWukbazacZDrUZsHFE1b9/f/z000+YP3++nj5VZmYmvv76a/z0008YMGCA3YwsERz5FoPufYF3ubxkx8pEuGEcVkcA6VKUZVBKK9J8+Uktc5Yglbpji6oVhis+NXrMz0MaoV/DikVhnh4e+fLmZGIR2lQNRLtqwpSgqyTP8WTAFTwVrg8vGCaZKkyMXgDhRvSznasB/3pCqFKtuWIJgJdy/emeLecNK9i6IUfrpF5SF7RTLMJxvpZem6ggD7vaWpSMah+FtUMbo1utELSuEoCedcoZbbdC9SoOquppXy/IFZYB2oouI5rkVQAftvasQ+0FgFoz9uLdn0/jxpN0JL2U6zkpDfmdFADtGmuVKbvRaM5+rZMCiuah2yZH9eWXX6Jt27aYPHkyfH19ER4ejvDwcPj6+mLSpElo27YtZs+ebW9bizdRHQEIoyhP9c2lnDo0WpNTwXAsjxCIevIf8WnuSFyn4UbbSI3UGSsqhrQIBwD8ObyZwT5dR0XBIUMtL+RFDJOTFWbWoIw5sR9jYo20tIzxmy7h1xMPQJA3MqOU4vg9fUmh+bsN1cI1MwqPqR9qyVcjgRrOsqTnmBYdLgm0qxaEH95uCEIIqgZ7YkavGijv7YJAD6neJODnuSPwpmIywnPW4XtVb21V6r6iI3rneyl3bH9kKlQ4cicZ3ZYcKbhxMcImR+Xm5oYDBw5g69atGDZsGKKjoxEdHY1hw4Zh27Zt2L9/v1VCiKWCinnRQHW4e+p/hRvENT5crykbTDkPc3k+jmZGrxq4P687mkb6G+xzl+k70HQqJMAaG1G1+eYQ7jwzPt2SJTdUhDl+77lNC94KJa/Nx9KdPlRRID0773zGcoDckINPxZsAAKuV3ZF/7UbzNVQOLN6JvtYytGUEjk/qiEFNKul95OfwVo8mhY3rVK8AAAaKDsEFef1Xa8Ze7Ln6FI9STavE66JJ7j5yJ6ngxnaGQKig7UlfOvy9ChVu89prr+G1116zly0lG7EUsZ6NEJlxFuXICwQgDf5EuJnE6uRPcQS4ML2zs6wsdQxtGY41x+Isbu/MUGhz0735c6PS4I5QJKGj6DwuKKvo7ctSqPDzsfuY19dwQT9TYfyJ3JbPfcvM2kPySwWG/3oWC/rXxes/HNdur4Ak9BUdQVPuBgJJOh7wQfhNZZgfxFNgao9ovNM8zGBfaaBeJR+z+WyH+bpIp27wIllYK/0GAxVToXFiH/5+DgDwxwdN0aJygNn3+flYHDafS8Dmcwn4Z3Rr1DBRN4tSimFrz9j0WYwRjBf4n2QFGnO3cEDVEkBvu53bGExCyY68lAiRfN7IxBuiQwCAq3w40pH31MhTlkNlT0J9rRu5W5PP5Ew0kk+tuStG95uaMkvJND5yMhWVZ4oshRIrYgzXKnTZd/0Z6s7ahwdqsVYpcvGn7Et8JtmMVqJrAIApyveggPHrvVfd8pCJS6eUWOsq5oPJsuGC9xWfIZtK0Yy7gTbcZYM2b/54CutPP0T8C+NiuHcTM/Dlzry1ou5LjU/nPXyehXF/XsShW6ZGXRQfi7Zq71keyEIX7jQqqpXujTFFsg6tRVfhQnIRRg3XJ+2NRSOqiIgIcByHmzdvQiKRICIiosBgAEII7t0zf6GXNuQiwSF5kiw054QL6A9VR5REuZiSgqVCoRqsFXYtSqoFe+KWekrvf7lvYJNsNqqQRxBBpacDCBiGoAPCFJwprb0XWQoEWaiskKvi0XXxETx8kQURR8yGw3Mkr/xIa+4yKpJkZFIZVqu64ThfCyd506VsrFF6KGlIRBx+e68JkjLk+HSjfoS0ZtrzNI3GDlVzvCH+D4NF+xDDG0ajTtoiPKh0qxWCH97OE+5Ny87FKwtjDNo/Ts020JZss+CQQTthxicNEeQpVkgXa7d/I/lRr905vgqu8eEIIGloyt2AP8mAgoq0FcvfVUzAbfdGOGmmL+yBRY6qbdu2IIRoq55qXjP0kXPCTTMIKdpS1Hf4CuYOYRQSax1Vqyrmp1Kcycj2lTFmw0UAwFlaVTs1VJUk4AbNP0Wm7zymb7+qjc4zxtA1Z3BiUkeL7Lj2OB0P1U/xBeVs6e6upH4CP8zXxUKdBHdjrHi7eKul2wPNqOpRSja+/TevPp1un21WtcEb4v/U69oUph5qd1/VVyQ5cc94faw/z8RjXKeqZu1qx13AWumCgj8AgIbcHTTk9B9+NE7qF2UnxPB1EUwcPzFnkaNau3at2dcMAblICLXtJsqbC85ykmp3WcFahY/iXPOotk5OEQWHhzQItUgcgkiqEUeVR6ZcadZJAcCTNNPl0zPlSjxLz0FkoHD9JqRYVncpP/XVShpx1Lyu4tqhjbVh+WWB4W0j9RyVLpdoZSgph0CSjmCk4JmOvJQ5fUjNOlZ+lhy4g9fqlUdkoAdyclWY8JfhlGJf0VGDbSMU49BbdBTdRGewQdkO61SvoAV3DfW4u4gmD5EGd6xU9kQISUF5kox9qkY4TasDAJ6lO15Q16Zgil9//RVt2rQxWYb+wYMH+O+///Duu+8WxrYSR4566s+X5EXBJNDi+wRfGihIoFWX5kai7YoT4f7ucJWIkJOrAgWQToX1Ny+Yr5/VbN4Bq98rJ1cFQoR8rqFrz+D0/ReIm98DAJCSqdALR7cEGRToyJ0HAPyramS2bTnvsiUfJhOL8Eajith41rDGmBxS3KEVEE3iUZu7j2d8nqMy5aQKUhrp8O1/iJvfA3eevTSaEB9JBE3GH5XdkQ0pTvHROMbXxl6+MaCzxHlFFQkUk7KCNj1eDh06FMePHze5/+TJkxg6dKjNRpVUNCMqDbF8CNJQchMaSxMhXjKse7+ps80wC8cR1KrgpQ2h1wTheBvJpdK9V2XkC6zwRBYGiA4hBPrTQ4kZOdo1uhrT96Dv8uOglOL0/Rd67X47+UCbQuGJLFyWvYc4lzdxWfY+tkmnwh2GodNvi/6FO5EjgQbgIq1ssF+XEO+yN8vwVZ/aJvddVms7CrWrTDuhdace4MaTdKTppAZ4IAsduXN6Ie4avtAZTTUmNzFG9Be+lSxHLbXu4gZVeyxUvoFjvGnbigs2OaqCPHpmZibE4pIjNGkvNMEUGi4V8INl2Iddo1sV2MZVKgbnxBwqS6lRzkv7JJ03ojKcinM1U3hzpHg7vpb8iG8kq/S2N5l7ACPXncfcXdfBU2Etavlh/YCnZ+k5uP3spXYdZaJ4PbzUVZK9SBbqcbFYIFkJDvrBHK3UtbMOqOqjoOAhrxIkQmsvdEf+f7zfFO+1itC+PkuFNaUWouuoT0wL+07ZehXdlhxBvdn/ardNE/+O1dJvMVb8l17bfdee4sYTodp1DRKHTbLZGCf5C6+rp/2SqRce2kmI4PacbgU3KiQWXzGXL1/GxYsXta+PHDkCpdIwRDY1NRUrVqxA1armF/RKIzn5HFUmLXtPjs7AElFTS8vBOxvd6Z409YiqFnffYApGbMbp9hMJ0WBtRFeAXP0F+vxlQnZcypsaOhn7HG//dEr7WgYFeonyBEeXKV/Dx+Lt6C46jfVkDgYopgEgqEHi0F4kRLZtUxX80FBWA7EGNg5Fu2pBaBEVgH9v5Am87lA1xwL1Q0UEeYILtIqpUxgwQHwYAPCheCfmK9/Ubh/+W94aVjR5CEBwTvdoeVznw7BB1R65hUuj1ZJfyswRWGzp1q1bMWvWLADChbZy5UqTpTx8fHzw66+/2sfCEkT+qb/8T50r3m6ISlZUe2XYj6IQzrQHuvlROWox2lrEULsvRx2ebmx2Q6kTyl6RJBuVLtKg2y8DV+kHGXfizsGLZCGBBqC1fDEoOCghwljxFjTlbqIRuYWztDoGqWuuPeCDcIHqVwnQZVjLCJMJqWWB+a/nJWh3rhGiTVTPgQxbVS3RR3QMC6Ur0EJ1HYuVffGIBoCamfTyQd53p6KmnX8FdQWH/aoGmKgcXshP4RwsdoXDhw/HmTNncPr0aVBKMXv2bJw5c0bv7+zZs7hx4wYSExPRs2dPR9pdLMnJ56jqcPo3mPAAtzL9Q3UkF0pJddQsHa23C+rSMBwxdEZ7rj3FtguPkJFPG84bL7UakwBQm9iu89eQEyLV9qkaaW+Yi5X9sEHZDgCwTPodfJGOd8T7AUBdKNDwhlm7ghc+alcZE7tVd4ogcHGkeWV/bB3ZQvv6HJ83A9VPFIOjsrHYL/0cHkamfTUEkxTt/ykIxDCeBN5SJEzLPnJAYFe9UB+7n9MYFo+oypUrh3LlBHXgQ4cOITo6GkFBzg8xPXDgANatW4ejR48iISEBISEh6NChA7788kutvUVF/jWqzHyh6cU5NLqk4+suxb5xbdB5kWESZElCV5T0Fi/UbgpEKozl2Iz986JBGfcW3DW913W4WOzmbQkioWjPXQSgfxMFgFWqnhgoPowQkoJPxNu024/lU0YHhCnK5pUDMKFrdRtsKN3opiOsU3VEQ+42+qiFfAGgMvcEA0WH8JOqh9Hjv5Ks1v5fTHhUJo9xi1bSa1MBSdqcznPUvssxSwfVL7JIWpvunG3bti0WTgoAJkyYgMOHD6NPnz5YunQpBg4ciI0bN6J+/fp4+rTgst32RC7Sn9YTFpbzKEmVTEsifu5Sk/uMlRAvjqSqxWM5AiTBBwAgI0r4wLjw5xsr9YvWVeP0y9c34m7ZYAVFTfIA4dwzKCmHQ/nK1MTS8tiobAsAGCYWytpsVrXRqmfoulMlT9GEFQk1iljEYdOHwoMGBYdxuaMQnrMOETm/45tcoUxSR+6C0WMrk0cGibifiLcatGshyntwOc6bLt5pKa/WLa/3/0DPoqmrZ/Od8+nTp1i9ejXOnz+PtLQ08Lz+egwhBAcOWJ/fYS0LFy5Eq1attKoZANC1a1e0bdsWy5Ytw5w5cxxugwZKxIil5RBJnuAUXx0/q/SjYbxcmMafIzG3qOvjVjL6fmK36hi69gx4CiggQQr1gC95iUCShlTqafZYAh49OCEY4i9Va7wuOoLG3G00567hhBU3qW/Eq/CG+D8AwC0aajRpfZ2qo7YNAL16S/knKhtHMEdlisbhfmgZ5Y9jdzWpBAQUBDv4ZvgCf6K56Dq6qk5jD6//oNVSHWUJAMuVr2Kk+G9UVudH6VJbvb75i7ITCivl1q1WCJYOqo/3W0cU+b3MphHV5cuXUaNGDcyZMwf37t3DoUOHkJSUhDt37uDw4cOIj48vdPlrS2nTpo2ek9Js8/Pzw40bN4rEBl3eyJ2F3vLZGKiYCmW+5wAXSekU4CwuSM1MrbrLSsZotn31ICwdlDcS1ySPzxavLeBIiuokHlU4QSB0Xu6bSFOHt38iMnzSNoUMCm2NpId8IJYq+xhtd4lWxhplF1zhw/FF7gf4h9evsRXgITxpN43wYyLMBWBMIT2eBuMFFda8dbX4NDTlhHvbd8re+EUpVGOoQhIM8qk065V3qfVSbjs/yYvgvD+vu1ZrsE5FH4RbKV1WWGz69U6cOBEeHh64ePEi3NzcEBQUhCVLlqBDhw7YtGkTPvroI6xbt87etlrMy5cv8fLlSwQEmF88lMvlkMvzvtj09PRCv3cqPJFMWZKvMzDnqErSQ4KrEVubi67rqQboUpk8wmbpLK1TO6yqi2R4Y4FyAOZI1miljSwhgjyFmPBIo25oo1gM00/hBLOUgw22cgT4uEMVjO1YBTF3ktCsmKuBFAdM6fa9rxiPLbKZAIBx4s1YpOwHAOjOnUQP0WkAwCFVPTyDH55SX4SQFLTgruEg3wAA0JE7h04iIUz9Bl/J8A3M0KlGsPZho2P1IKenFNg0ojp27BhGjBiBSpUqaUczmqm//v3746233sLnn39uPyutZPHixVAoFBgwYIDZdvPmzYO3t7f2LzQ01GE2LXzDUBmZYV/MJfSWlDwqAFCaKMkhMqFn00d0VOukVJRgi6o1AOAflRBE4UoUFkf/vSvaBwC4QyvClqkingL9GlQExxG0qxZUoh4QnEWXWsa1Ec/TKjjNVwMAjBFvQT11MvC7YiHhd7+qPs6rAyRiVELoe10uL4G7p0hIN0igAThLq1lsT5CnDIsH1NMmlReHtDebfr08zyM4WMhq9vHxgUgkwosXOiGxtWvj3DnjookFnTcnJ8eiP1NTizExMZg1axbeeOMNdOjQwez7TZo0CWlpadq/+Ph4s+0Lw2v1mIq6MylJN8w6OiG/65R5iufduVNGWgN1iXBzmpE7GLXkq/E3L4Q9v4AX7vLC4vcO2VRUJgXXDdKsfRwzsqZlyf2qoq8rKvmzXEFrGNQ4FJ5Gp6YJ3lBMx78qYcrtR+m3qEnitOoVi5Wva1veosJDdpTOd+yhlrr6TtkHlj50jO4Qhc0ftoC7TAwvFzE+7VQVX/Y2jOYsamxyVBEREbh/X1ik4zgOERER2L9/v3b/8ePH4ePjY/V5Y2Ji4OrqatHfrVuG0Uw3b95Enz59UKtWLfz0008Fvp9MJoOXl5fenyNoHunv1BLojJI1oqrg4woPdWn6qco8zczB4n1G2weSNABALC2H7HyBD3OUb2n/P1680ez71iBxCOMSoaIEq5SGeZAUKPA6TkixrIQ6Iw+xiEOXWiEmXAnBOpXwwB1I0rBLNhkykosEGoBrNFzb6h4VHkiiiKA0IoIKnUSCSHAGtUwEmCPAp52raR80CCEY3bFKsRARtmmNqnPnzti0aRPmzp0LAPjoo4/w2WefITY2FpRSHD58GJ999pnV561evTrWrFljUdv8OVLx8fHo3LkzvL298c8//8DT03yEVFEiVxYTCeIyjDnJoeKIiOMAqEDB4Xvlqxgl/hsuUBhtG6B2VEnUx2Dff3xdHFTVQwfRRVQnD9GXy8szewFPRJKn8EA2pCRXW+xzJ98cmTB+c4oK9NAWd2TYjzA/N5NytIf5+gbb9qga66lWXOfDwFOCalwCPhT9jXE62n8PqWWpRHPNCOc6G5sc1ZQpUzBo0CDk5uZCIpFg7NixyMzMxF9//QWRSIRp06Zh8uTJVp83JCQEQ4YMsfq458+fo3PnzpDL5Thw4ECRJ/oWxMX4VGebUGZY935TeMjE2HQuHr+fFDTOvupT2+mLwdaiO3LZq2qMUeK/4U8Mg30kUCJAvT2ZGmoeUnBYouyLDqKLiOCeYaF0RYHvvVppWmR066gWqDF9ryUfgWEF7aoFmaxZBQAd5P/DYNFepMATV/kIHM2XXJ0IX6xVdcEw8R5MlGzQbl+l7IGrNNLoOdd/0Ax7rj5BzJ1kjGgTWaxVQ2xyVL6+vmjYMK9CJyEEU6dOxdSpU+1mmKVkZmaie/fuePToEQ4dOoQqVSwXdCwqStL6SEmnZZQQ6enpItY6qkbhvs40ySZ0R4BPqBA5F4QUeCFTW/4DAOqo16eyqAwvYHwW4TKNxBplF0SQvAT4AJKGaPIA92h5nOGrQwExFBDjGh+By2ZU/92kebcM3TL0jMJRu6I3pvaIxpxdN+AhE+splABCkvUMnWlgYyxT9sYA0SG4EyGSubd8Ni6a0V6sHOiOWa85f/3JEkpGcokZ3nrrLZw+fRrDhg3DjRs39HKnPDw80Lt3b+cZpyYnl039FTWRgR7o17AiNp9LKGSao3NIzMhLm0iCD+7x5VCZe4Jm3HXs4xtr9wWRVADAdRoG3sSSMwVnNJRcAqXFCtr9G1bEgMbCgv2ItpFY+V+snpMK9JBi6aAGZtVBGOapEiw8aMzrWxufrDeuSGGOF/BCL8VcVCUJuE9DDOSUdPmmXx0EeZWc6g4WXaXDhg2z+sSEEKxevbrghoVEU3rk559/xs8//6y3LywsrFg4qqJOjmMIaLLni6IMgaM5xtdCZe4Jxoq34D9FXcjVyuodRcINLaUA1QpjWFPmYUH/vPSKSd2i0aCSL0b8dg6EALXKe2PdB02Z8kohaVs1EP993g6hvm649jgd2QolfjnxwKpzxNLyiKXlzbbpUD0IbzRyXCqOI7DoSj148KDBHH9WVhaSkpIACFOBAJCSIqj5BgYGwt29aG7OcXFxRfI+tuIi5vDn8OYFN2TYnc+7VEOtCl4I8y/5DwpH+Vp4F/+iBvcAt1yG4AX1wF1aAU3UWn5necfVf/usk+G5a5b3gqtEhOxcFWpV8GJOyk5ortWJ3aoj5naS1Y7KHGuGNMauK08wtUe03c5ZVFj0qBkXF4f79+9r/3bt2gWJRILJkycjMTERz58/x/Pnz5GYmIhJkyZBKpVi165djra9RNAiKqDIhBsZ+rhKRejboPguEFvDQb6+tuwHAPiRl1ondYUPx48mFLYLg4dMjMbhvviko+G6b0VfN+wb1wYA8Eq0fSrFMvSpVcEwOKYwtK8ehP/1rwsft5I3PWvTnMgnn3yCbt26Yc6cOXoyRQEBAZg7dy66du2KTz75xG5GlmQCPZiTYljPogH6SiZKiNFHMRvVctail1xfaHmwYqLJ9anCsGdsa2z6sIXJ/aF+boib3wMdmaNyCH7uUvgWIKb8RiPhQaxHbfORzsZGxSUJm67ukydPokGDBib3169fHydPnjS5vyzRpqrp6qoMhinEnPGfphxSXKGRmJsrlB0/rKqLFzCeqP7XR6adjCWElKDF9tJKzBftTX6Py96sj9mv1cLmD5tjtJFRry79GpXsmQWbHJWfnx92795tcv8///xjkzJFaSTIi42oGNaTKTderVXDj6oeaC1fhPdzjSfWv1q3PBqG+eLHdxvZbIOYFfp0Op4uEjSo5GNUgT7c3x0uEhEahfuhWognZvaqYfI8viVwuk8Xm67EESNGYOfOnXjttdewf/9+xMXFIS4uDv/++y9effVV7N69Gx9++KG9bS2RlDRFBEbxQK40LkybB0E8DTYoJaNh8YB6AAAVX9B5jMMq8hYfCCG4NKMz+jbQ1wuNLqc/km5upFyIhpKey2lTHtXUqVMhl8uxYMEC7Ny5U/+EYjEmTpzolOTf4ggrP8+whQGNQzHj72sFNzSCn7tUqySf/2ZmCTe/7Frib2ylkQX96mJK92jcfJqB55kKA93FqCDj5YXi5ts/0KaosTnh98svv8SYMWOwf/9+PHgghFCGhYXhlVdeKbAOVFlCLGIjKob1uEhECPCQIfmlvODG+XiRmacJGObvjoq+rnpisZEB7ohNzjR5fEkS8C1LiDgCfw8ZWkYZX04QcQT7xrVB50UxRveXZAqlTBEQEICBAwfay5ZSiaiEacwxig9+7hKbHFV+8lfEea1eBSzab1pXrqTpIjLyMFZ0szRQaAmljIwMpKWlaQsn6lKpknVVJUsj7DfPsBV3ozWKrIdXe6oWlf1x/N5z9KhTzqyjYpRcNMUONfSqa16loqRg8y/hhx9+wMKFCxEba7pyqErFNO4YDFupU8EbFx6mWn1cfr29xQPqYcOZeNx4IqisB3nJIBVzUBgJ2KgcWPJVPMoyutO2N2Z3hYukdEzj2uSoVqxYgVGjRqFLly4YNmwYpkyZgnHjxsHFxQVr165FcHAwRo8ebW9bGYwyxZQeNdC3QUW89v0xi485OqG9QShy00h/NI30x9YLCZiz6wa8XCS4PKMzLsanYuAqId8xbn4PUEoNpgkZJQsPmRifdaqK/o1CDUZXJRmb3O13332HLl26YPfu3Rg+fDgAoEePHpg7dy6uX7+OjIwMPH/+3K6GlgRSs3KhzFf3oDhUx2SUTKRiDnVDfdAk3A8L+tUx27Z6iCduz+mGir5uJqcM+9SviHNTOwEQgjWaRfpjzdDG+LxLNQDC2hTH0ilKNIQQfNKxCkK8S1eytk2O6t69e+jVqxcAQCIREtEUCiHSyNvbG++//z6WL19uJxNLDlsvPDLYZq91BkbZZeOHzdG/ALXrz7tUs0klvn21IIxqb7pmEYNRHLDJUXl7e0OpFDLnvby84Obmhvj4eO1+T09PPH361NThDAbDzlQLsb7MB4NRUrDJUdWqVQuXLl3Svm7WrBl++OEHPHr0CPHx8Vi5ciWqVi3ZIogMRkmioq+bs01gMByGTY7q7bffxtWrVyGXCzkes2bNwo0bN1CpUiWEh4fj1q1bmDNnTgFnYTAY1jCpW3U0j/THnN555cNrlvfC3rFtnGgVg+F4CKX2ifOJjY3Fjh07IBKJ0Llz5xI5okpPT4e3tzfS0tLg5WW99EyTufv1SogDpUO+hFG8WH/6ISZtuQJACEEuTdFdjLKFpfdcq0dUOTk5WLp0KWJi9GU6IiMjMWbMGHz88ccl0knZg62jWjrbBEYZoFutEADAlpEtmJNilAmsdlQuLi6YMGECbt265Qh7SjR+JVxKn1Ey8HGTIm5+DzSo5OtsUxiMIsHmYIq4uDg7m1LysSU8mMFgMBjmsenOOnfuXKxcuRL79++3tz0lmvyy+62imIo8g8FgFBabslGXLVsGPz8/dOnSBREREYiIiICrq74CAyEE27dvt4uRJZWfhzR2tgkMBoNR4rHJUV2+fBmEEFSqVAkqlQp37941aFNWSwUQAJowSjYVyGAwGIXHJkfF1qdMwzQ9GQwGw76wR34HMbNXDWebwGAwGKUCm0ZUDx8+NLufEAIXFxcEBASU2SnAOqE+zjaBwWAwSgU2Oarw8HCLHJCLiwtat26NadOmoWXLokmG/eCDD/DTTz+hR48e2LlzZ5G8pzHKpntmMBgM+2OTo1q9ejWWLl2K+Ph4vPXWW4iKEsoE3LlzB3/88QfCwsIwdOhQ3L17F7///js6dOiAPXv2oH379nY1Pj9nz57F2rVr4eLi/FosXBkdSTIYDIa9sclRPX78GAqFAnfv3oWPj4/evpkzZ6JVq1bIzs7G4sWLMW3aNDRs2BCzZs1yqKOilGL06NF49913ceDAAYe9j6UwR8VgMBj2waZgihUrVuD99983cFIA4Ofnh/fffx/Lli0DAPj7+2PYsGE4d+5coQwtiN9++w1Xr17F3LlzHfo+BdEs0g8AwPwUg8Fg2AebRlTPnz9HVlaWyf2ZmZlISkrSvg4JCYGdRNqNkpGRgQkTJmDy5MkICQmx+Di5XK4tVQIISr6Fpby69DxzVAwGg2EfbBpRNW7cGEuWLMGVK1cM9l2+fBnfffcdmjRpot1248YNVKxY0XYrC2D27NlwdXXFuHHjrDpu3rx58Pb21v6Fhpov920NbOqPwWAw7INNI6rvvvsO7du3R/369dG8eXNtMMXdu3dx4sQJeHl5YenSpQCEsiCHDx9Gv379Cjwvz/NQKBQW2SCTyUAIwe3bt7FkyRKsX78eMpnMqs8xadIkfPrpp9rX6enphXdWav/E/BSDwWDYB5scVZ06dXDlyhXMnz8fe/fuxZkzZwAAYWFhGDlyJL744gvtCMrFxQUXLlyw6LwxMTEWB1zcuHED1atXx5gxY9CiRQu8/vrrVn8OmUxmtXMrCKL2VGxExWAwGPbBJkcFAOXLl9eOmuxF9erVsWbNGovalitXDgcPHsSePXuwZcsWPVknpVKJ7OxsxMXFwc/Pz6Zqvbai8U8c81MMBoNhF2x2VBqePHmCxMREREVFwd3dvVDnCgkJwZAhQyxur1HI6Nu3r8G+R48eISIiAosWLcLYsWMLZReDwWAwnIfNWn/bt29H9erVUbFiRTRo0ACnTp0CACQnJ6N+/frYtm2bvWw0SYcOHbB161aDv8DAQDRq1Ahbt25Fr169HG4Hg8FgMByHTSOqHTt2oG/fvmjevDnefPNNzJw5U7svICAAFSpUwJo1a9C7d287mWmcSpUqoVKlSgbbx44di+DgYIe/vzHYjB+DwWDYF5tGVLNnz0abNm1w9OhRjBo1ymB/8+bNLQ6gKG1o1qgcmDbGYDAYZQqbRlRXr17FwoULTe4PDg5GYmKizUYVFlYvi8FgMEoPNo2o3NzckJmZaXJ/bGws/P39bTaqJEPY5B+DwWDYFZscVfv27fHLL79AqVQa7Hv69Cl+/PFHdO7cudDGlWTYzB+DwWDYB5sc1dy5c5GQkIDGjRtj5cqVIIRg7969mDp1KmrXrg1KKWbMmGFvW0sEbI2KwWAw7ItNjqpatWo4evQo/P39MW3aNFBKsWDBAnz11VeoXbs2jhw5gvDwcDubWjJgghQMBoNhX2xO+K1Zsyb279+PlJQU3L17FzzPIzIyEoGBgfa0r8RC2eQfg8Fg2IVCK1P4+vqicePG9rClVBDsJVQXdpWInGwJg8FglA6sdlRyuRy///479u3bh3v37iEjIwOenp6IiopC165d8eabb0IqlTrC1hLBqPZRqF/JF2H+hZOTYjAYDIYAoVZUNLxy5Qpee+01PHjwAJRSeHt7w8PDAy9fvkRaWhoIIYiMjMTff/+N6OhoR9rtENLT0+Ht7Y20tLQiFbJlMBiMsoil91yLgylevnyJV199Fc+ePcPcuXMRHx+PlJQUvX/nzJmDx48fo1evXmbzrBgMBoPBsBSLHdWaNWvw8OFD7Nq1CxMnTkSFChX09leoUAGTJk3Cjh07cP/+faxdu9betjIYDAajDGLx1F/Xrl1BCMHu3bstagsAe/bsKZx1RQyb+mMwGIyiw+5Tf1euXEG7du0satuhQwdcuXLF0lMzGAwGg2ESix3VixcvEBISYlHb4OBgvHjxwmajGAwGg8HQYLGjksvlkEgkFrUVi8VQKBQ2G8VgMBgMhgar8qji4uJw/vz5Atvdv3/fZoOciWa5Lj093cmWMBgMRulHc68tKFTC4mAKjuNALBSyo5SCEAKVSmVR++JCQkICQkNDnW0Gg8FglCni4+NRsWJFk/stHlGtWbPGLgYVZ8qXL4/4+Hh4enrqOeX09HSEhoYiPj6+TEcDsn4QYP0gwPpBgPWDgC39QClFRkYGypcvb7adxY5q8ODBljYtsXAcZ9are3l5lekLUQPrBwHWDwKsHwRYPwhY2w/e3t4FtrGpzAeDwWAwGEUFc1QMBoPBKNYwR2UBMpkMM2bMgEwmc7YpToX1gwDrBwHWDwKsHwQc2Q9WqaczGAwGg1HUsBEVg8FgMIo1zFExGAwGo1jDHBWDwWAwijXMUTEYDAajWMMcFYPBYDAKxJlxd2XWUbFgRwaDYY60tDRnm1As+PPPPwHAYq1XR1DmHFVsbCyysrKQk5PjbFOczqVLl3Dnzh0kJCRot5VFB759+3aMHDkSsbGxAACe551skXNYv349PD09cezYMWeb4lS2bNmCzp07Y9GiRYiLi3O2OU5jw4YNqFy5MgYNGoSjR4861ZYy46guX76MHj16oFevXoiIiEC7du1w7NixMnljvnz5Mjp16oSePXuiYcOGqFu3LpYuXQqlUunUpyZn8O+//6JPnz747bffsHPnTgCC5mNZ4sKFC2jatCmGDRuGHj16lFm9usePH6NHjx549913IZVK4ebmBjc3N2ebVeRorofBgwfD09MTLi4ukMvlTrWp1P8iVSoVvvvuO7zyyivIzMxEv3790K9fPzx58gTvv/8+YmJinG1ikZGbm4uvvvoKbdu2RW5uLiZMmIBVq1ahTp06mDZtGnbs2OFsE4sMzQOKv78//Pz8oFKp8Mcff+DSpUsAysaoKjs7G8OGDUPDhg3h6uqKP//8E0uXLkXt2rWdbZpTWLVqFe7fv49Vq1bhhx9+wBdffIGgoCBnm1VkpKenY/DgwWjYsCHc3NywadMmfPXVV6CU4uLFiwDgvNJNtJSzZ88eGhkZSYcNG0Zv3ryp3X7s2DFKCKETJkygubm5TrSw6Ni1axdt0KABHTt2LL19+zZVKpWUUkrv3LlDCSH0m2++oTzPO9nKomXz5s20c+fOdMWKFZQQQidPnqztl9LcF0qlks6dO5cSQugHH3xAk5KSTP4OSnM/aHj48CENDg6mo0ePNtiuS2nti8zMTFqlShUaGRlJf/jhB/rgwQNKKaWxsbHU19eX9u3bl6pUKqfZZ1WF35LI9evXIZPJMH/+fAQGBgIAFAoFWrRogaZNm+L8+fMQi8XaYo+lGW9vb7z11lt45513tH0BAFevXkVgYCDCwsJACCkTfaH5jKGhoTh16hT27t2LzZs3Y82aNWjfvj1eeeUVZ5voUEQiEbp06YJ//vkHR44cQUBAAADg77//xpYtWxAcHIzq1avjrbfeglQqdbK1jicuLg4ZGRn4+OOPAQC//fYb5s+fDwCoWrUq3njjDQwaNKhU/i54noebmxt++eUXeHl5oWrVqpBIJACAiIgIREVF4cWLF8jNzYVUKnVOHzjNRToAjcfneV7vyefWrVt6+ykVnijbtWtHW7VqRbOzs4vW0CJAty/MceTIEVqrVi3q5eVFZ86cSa9cuUJTUlL0zlGSKagfNm/eTKOioiillF64cIESQujgwYPpixcvzB5X0jDVD5qR5GeffUY7d+5MCSE0KiqKenp6UkII7du3L7169areOUoypvrh7NmzVCwW061bt9Kff/6ZchxH+/XrRwcPHkyDgoIoIYSuWbPGCRY7BkvuDzzPU5VKRUeNGkW9vb219wVn/CZKxRqVZu1FU4WYEKLn9atWrQogb5GcUgqO45CWloYKFSrAxcWl1ARVGOuL/GjWXyZOnIg2bdogMDAQffr0QXx8PFq3bo2PPvoIQMkOKiioHzTfd6VKlfDs2TM8efIE9erVw7Bhw7Bhwwbs2bMHgLCOU5Ix1Q+az9+tWze8/vrrWLhwIZRKJXbv3o0DBw7g5s2bmD17NrZt24ZZs2YBKN3XAwD4+Pjgr7/+wpIlSzBlyhSsWbMGa9euxf79+9G5c2eMHz8eN2/eLGrT7Yol/aCBEAKO4+Dn54f09HQcOXKkwGMcRpG7RjsTExNDa9asSQkhtHPnzvT69euU0oK9fnx8PHV3d6fz5s2jlFLtukRJxtK+0LzeunUr/fPPP2lycrJ226RJkyjHcXTBggWU0pL5FG3NNbFx40ZatWpV+uzZM0oppenp6dTNzY22b9+eDh06lL7zzjv08ePHRWq/vbC0H9atW0eHDBlCjx07ZrDvrbfeot7e3vTvv/82emxJwNJ+aNmyJeU4jgYEBNDjx4/r7du3bx/18/OjY8aMoZSW/t8FpXmf8ciRI5QQQjdu3Gi2vSMp0Y7qxIkTtHr16jQ8PJz279+fEkLo119/bVFwRExMDCWE0L179xaBpY7Hmr4wd6HduXOHRkVF0bp169KcnBxHmuwQLO0HTR8cOXKEurm50fj4eO2+QYMGUZFIRCUSCZ0xYwZ9+fJlkX4Ge2BJP2j6IC0tjSYmJuodr2l38uRJSgihM2fOLJFOypJ+0Dyk7tmzhxJCKCGE3rhxg1JKqVwup5RSmpiYSLt27UpDQ0NL9e/CGFevXqW+vr70k08+oZQyR2U1169fpzKZjG7atIlSSmnr1q1plSpV6LFjxwo8dvny5VQsFtOMjAxKqXCx3rt3j549e5ZSWvKeHAvTF5TqPyE2b96cNmvWrET+IPP3Q5s2bcz2w4YNG2i1atVoamoqPXToEG3VqhUViUTUy8uLRkVF0SNHjlBKy871oPmcmushKSmJ+vj40C+++MKxBjsIa/vhrbfeooQQOmLECEop1buR9+vXj9aoUYOmpaU53nA7U5j7Q2JiIg0LC6MdO3ak6enpjjbVKCXWUWmegnSfBDWjpNGjR2svJlM3mF69etEWLVpQSoVpwN9//53Wr1+fNmjQgD5//tzB1tuXwvRF/imMvXv3UolEQseOHetAix2DNf2g6YsDBw5QqVRKe/bsSUUiEW3ZsiWNiYmhGzdu1N6wNE/VJQV7Xg/Lly+nhBD6448/OtBix2BpP+h+5vj4eOrl5WUw23Lt2jVauXJl+vbbb5e4hxZ7XA99+/alNWvWpC9fvmQjKlNs2LCBjhgxgs6fP5/GxMRot+t2mKZDBw8eTH18fOi2bduMnovneZqRkUHLlStHBw4cSPfv309fffVVSgihXbt2pQkJCY79MIXEnn2hy+PHj+mOHTto27ZtaY0aNeiVK1fsb7wdsVc/HDt2jNapU4dGR0fTZcuW0fj4eO0Pu2XLlvSDDz4o1o7KUdfD06dP6datW2mdOnVo27ZtaXJysv2NtyP26AfN975hwwZarlw56ufnRz/44AP61Vdf0W7dulFfX99iv1TgiOuB53k6Z84cSgjRRlAXtbMq1o7q6dOntEuXLtTd3Z02aNCA+vr6UplMRmfMmKENlcyfnJmQkEA9PDxo3759tesO+Z8S7969S93c3GiDBg2oh4cHrVatGj1w4EDRfTAbcFRfHD58mH7wwQe0X79+1NPTk9atW5eeOXOm6D6YldirHzRTOgqFgsbExNArV65oHZLmuOKctuDI6+HDDz+kgwYNoh4eHrRBgwb04sWLRffBrMSe/aB78z127Bjt0qUL9fHxoUFBQbR+/fp6N/7ihqOuBw2LFi2ihBC6efNmx38YIxRrR/XLL79QPz8/um7dOvr48WP6/PlzOmTIEOrp6UlHjhxp0F7zBcydO5dyHEdXrVpl1PMfPHiQEkJoUFAQXbZsmcM/hz1wVF/s2LGDRkVF0Xbt2tGff/7Z4Z+jsDiiH0raVA6ljrseNm/eTD08PGjTpk1LxHSfvftB9/9yuZympKTQS5cuOf6DFBJHXQ8ax/XkyRO6du1ax34IMxRrR9W2bVvarFkzvW2ZmZl08ODBlBBCd+3aRSk1fApQKBS0cuXKtGnTpvT27duUUkrv3bunDUGmlNKVK1dShULh4E9gPxzZF/fu3Ssx4bb27Ie7d+8aRLuVFBx5PVy6dKnEpGvYux90r4eS8pug1LH9UBwe5Iqlo1KpVDQnJ4d26dKFtmzZUrtdM11z7tw52rBhQxoZGWnQiZof2Pbt27VafmvWrKENGjSgo0ePdlrUiq04si9KUti1I/shKyur6D5IIWHXg4Aj+yEzM7PoPkghKSv94HRHdePGDTpmzBj6ySef0ClTpmi9OqWU9u7dm1arVk27sK/7NLBq1SpKCKGLFi2ilBom7Obm5tLGjRtTkUhECSG0XLlydM+ePY7/QIWA9YUA6wcB1g8CrB8EynI/OM1RyeVyOn78eOrq6kobNWpEq1SpQgkhNDIyUhvrv3nzZkoIoT///LO24zWdHBcXRzt27EgjIiIMFsHPnz9Pp0yZQj08PKinpyddvHixEz6h5bC+EGD9IMD6QYD1gwDrByc5qoyMDDp58mQaGRlJv/76a3rr1i2qUqno/v37afny5Wnr1q1pVlYWVSqVtG7durRNmzY0Li7O4DwzZ86kPj4+2vlXSoUv4OOPP9aKi2oSeosrrC8EWD8IsH4QYP0gwPpBwCmO6v79+zQiIoKOGDGCpqam6u0bMWIEDQwM1CpE/Pbbb5QQQhcuXKidM9U8FVy4cIFyHEe3bt1KKc2blz19+rRWx6q4w/pCgPWDAOsHAdYPAqwfBJziqHiep6tWrdLbponA27hxIxWLxVqtrdTUVNq3b18aEhJikJh2+vRpSgihv/zyS9EY7gBYXwiwfhBg/SDA+kGA9YOA09aoNB49/8LeggULqEgk0qvGGx8fT4ODg2nNmjW1i3yPHj2iH3/8MQ0LC6NPnz4tOsMdAOsLAdYPAqwfBFg/CLB+KAZRfxo0C4BjxoyhISEh2qcGzZezd+9e2qBBA0oIofXq1aPNmzenEomEzpo1iyqVymIR628vWF8IsH4QYP0gwPpBoCz2A6G0eFUMbNSoEcLDw7F582aoVCqIRCLtvuTkZKxevRr37t1Deno6xowZg+bNmzvRWsfC+kKA9YMA6wcB1g8CZaofnO0pdUlMTKSurq7aon2UCk8PmrLgZQnWFwKsHwRYPwiwfhAoa/1QrGpLX716FTk5OWjcuDEA4OnTp/jjjz/QpUsXJCUlOdm6ooX1hQDrBwHWDwKsHwTKWj8UC0dF1bOPZ86cgbe3N8qXL4/Dhw9j5MiRGDZsGCil4DhO2640w/pCgPWDAOsHAdYPAmW2H4p6CGeOvn370sqVK9MPPviAenp60ipVqtB9+/Y52yynwPpCgPWDAOsHAdYPAmWtH4qNo8rOzqb16tWjhBDq5eWl1aUqi7C+EGD9IMD6QYD1g0BZ7IdiFfU3YcIEEEIwa9YsyGQyZ5vjVFhfCLB+EGD9IMD6QaCs9UOxclQ8z4PjisWymdNhfSHA+kGA9YMA6weBstYPxcpRMRgMBoORn7LjkhkMBoNRImGOisFgMBjFGuaoGAwGg1GsYY6KwWAwGMUa5qgYDAaDUaxhjorBYDAYxRrmqBgMBoNRrGGOisFgMBjFGuaoGAwGg1GsYY6KwWAwGMUa5qgYDAaDUaz5PyI2QAvJNihKAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -369,19 +467,26 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:06:05.693511Z",
+     "iopub.status.busy": "2026-02-11T21:06:05.693511Z",
+     "iopub.status.idle": "2026-02-11T21:06:27.538984Z",
+     "shell.execute_reply": "2026-02-11T21:06:27.538984Z"
+    }
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:173: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\public\\rdtools\\rdtools\\analysis_chains.py:1144: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  fig = plotting.soiling_monte_carlo_plot(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -398,19 +503,26 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:06:27.542988Z",
+     "iopub.status.busy": "2026-02-11T21:06:27.541998Z",
+     "iopub.status.idle": "2026-02-11T21:06:27.743424Z",
+     "shell.execute_reply": "2026-02-11T21:06:27.742907Z"
+    }
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:233: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\public\\rdtools\\rdtools\\analysis_chains.py:1176: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  fig = plotting.soiling_interval_plot(\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -427,19 +539,26 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:06:27.746429Z",
+     "iopub.status.busy": "2026-02-11T21:06:27.745431Z",
+     "iopub.status.idle": "2026-02-11T21:06:27.857048Z",
+     "shell.execute_reply": "2026-02-11T21:06:27.857048Z"
+    }
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:273: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
-      "  warnings.warn(\n"
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\public\\rdtools\\rdtools\\analysis_chains.py:1206: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
+      "  fig = plotting.soiling_rate_histogram(results_dict[\"calc_info\"], **kwargs)\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -463,7 +582,14 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:06:27.860568Z",
+     "iopub.status.busy": "2026-02-11T21:06:27.860568Z",
+     "iopub.status.idle": "2026-02-11T21:06:27.876158Z",
+     "shell.execute_reply": "2026-02-11T21:06:27.876158Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -499,63 +625,63 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>2010-03-10 00:00:00-07:00</td>\n",
-       "      <td>2010-04-08 00:00:00-07:00</td>\n",
-       "      <td>-0.001577</td>\n",
-       "      <td>-0.003637</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.063788</td>\n",
-       "      <td>1.018062</td>\n",
-       "      <td>29</td>\n",
+       "      <th>7</th>\n",
+       "      <td>2010-03-21 00:00:00-07:00</td>\n",
+       "      <td>2010-06-11 00:00:00-07:00</td>\n",
+       "      <td>-0.001229</td>\n",
+       "      <td>-0.001328</td>\n",
+       "      <td>-0.001128</td>\n",
+       "      <td>1.038058</td>\n",
+       "      <td>0.937302</td>\n",
+       "      <td>82</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>2010-04-09 00:00:00-07:00</td>\n",
-       "      <td>2010-06-11 00:00:00-07:00</td>\n",
-       "      <td>-0.000955</td>\n",
-       "      <td>-0.001237</td>\n",
-       "      <td>-0.000640</td>\n",
-       "      <td>1.024589</td>\n",
-       "      <td>0.964412</td>\n",
-       "      <td>63</td>\n",
+       "      <th>11</th>\n",
+       "      <td>2010-07-01 00:00:00-07:00</td>\n",
+       "      <td>2010-07-12 00:00:00-07:00</td>\n",
+       "      <td>-0.002299</td>\n",
+       "      <td>-0.005703</td>\n",
+       "      <td>-0.000207</td>\n",
+       "      <td>1.037928</td>\n",
+       "      <td>1.012636</td>\n",
+       "      <td>11</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2010-06-15 00:00:00-07:00</td>\n",
-       "      <td>2010-07-13 00:00:00-07:00</td>\n",
-       "      <td>-0.000594</td>\n",
-       "      <td>-0.001868</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.072710</td>\n",
-       "      <td>1.056087</td>\n",
-       "      <td>28</td>\n",
+       "      <th>16</th>\n",
+       "      <td>2010-10-20 00:00:00-07:00</td>\n",
+       "      <td>2011-01-29 00:00:00-07:00</td>\n",
+       "      <td>-0.001139</td>\n",
+       "      <td>-0.001224</td>\n",
+       "      <td>-0.001049</td>\n",
+       "      <td>1.049207</td>\n",
+       "      <td>0.934195</td>\n",
+       "      <td>101</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>2010-10-11 00:00:00-07:00</td>\n",
-       "      <td>2011-01-28 00:00:00-07:00</td>\n",
-       "      <td>-0.001143</td>\n",
-       "      <td>-0.001301</td>\n",
-       "      <td>-0.001000</td>\n",
-       "      <td>1.057288</td>\n",
-       "      <td>0.932740</td>\n",
-       "      <td>109</td>\n",
+       "      <th>18</th>\n",
+       "      <td>2011-02-11 00:00:00-07:00</td>\n",
+       "      <td>2011-05-09 00:00:00-07:00</td>\n",
+       "      <td>-0.001944</td>\n",
+       "      <td>-0.002031</td>\n",
+       "      <td>-0.001847</td>\n",
+       "      <td>1.010908</td>\n",
+       "      <td>0.841754</td>\n",
+       "      <td>87</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>2011-02-11 00:00:00-07:00</td>\n",
-       "      <td>2011-03-14 00:00:00-07:00</td>\n",
-       "      <td>-0.001913</td>\n",
-       "      <td>-0.002793</td>\n",
-       "      <td>-0.001307</td>\n",
-       "      <td>1.020735</td>\n",
-       "      <td>0.961439</td>\n",
-       "      <td>31</td>\n",
+       "      <th>23</th>\n",
+       "      <td>2011-06-09 00:00:00-07:00</td>\n",
+       "      <td>2011-08-03 00:00:00-07:00</td>\n",
+       "      <td>-0.001153</td>\n",
+       "      <td>-0.001266</td>\n",
+       "      <td>-0.001032</td>\n",
+       "      <td>0.974865</td>\n",
+       "      <td>0.911467</td>\n",
+       "      <td>55</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -564,25 +690,25 @@
       ],
       "text/plain": [
        "                       start                       end  soiling_rate  \\\n",
-       "5  2010-03-10 00:00:00-07:00 2010-04-08 00:00:00-07:00     -0.001577   \n",
-       "6  2010-04-09 00:00:00-07:00 2010-06-11 00:00:00-07:00     -0.000955   \n",
-       "9  2010-06-15 00:00:00-07:00 2010-07-13 00:00:00-07:00     -0.000594   \n",
-       "12 2010-10-11 00:00:00-07:00 2011-01-28 00:00:00-07:00     -0.001143   \n",
-       "15 2011-02-11 00:00:00-07:00 2011-03-14 00:00:00-07:00     -0.001913   \n",
+       "7  2010-03-21 00:00:00-07:00 2010-06-11 00:00:00-07:00     -0.001229   \n",
+       "11 2010-07-01 00:00:00-07:00 2010-07-12 00:00:00-07:00     -0.002299   \n",
+       "16 2010-10-20 00:00:00-07:00 2011-01-29 00:00:00-07:00     -0.001139   \n",
+       "18 2011-02-11 00:00:00-07:00 2011-05-09 00:00:00-07:00     -0.001944   \n",
+       "23 2011-06-09 00:00:00-07:00 2011-08-03 00:00:00-07:00     -0.001153   \n",
        "\n",
        "    soiling_rate_low  soiling_rate_high  inferred_start_loss  \\\n",
-       "5          -0.003637           0.000000             1.063788   \n",
-       "6          -0.001237          -0.000640             1.024589   \n",
-       "9          -0.001868           0.000000             1.072710   \n",
-       "12         -0.001301          -0.001000             1.057288   \n",
-       "15         -0.002793          -0.001307             1.020735   \n",
+       "7          -0.001328          -0.001128             1.038058   \n",
+       "11         -0.005703          -0.000207             1.037928   \n",
+       "16         -0.001224          -0.001049             1.049207   \n",
+       "18         -0.002031          -0.001847             1.010908   \n",
+       "23         -0.001266          -0.001032             0.974865   \n",
        "\n",
        "    inferred_end_loss  length  valid  \n",
-       "5            1.018062      29   True  \n",
-       "6            0.964412      63   True  \n",
-       "9            1.056087      28   True  \n",
-       "12           0.932740     109   True  \n",
-       "15           0.961439      31   True  "
+       "7            0.937302      82   True  \n",
+       "11           1.012636      11   True  \n",
+       "16           0.934195     101   True  \n",
+       "18           0.841754      87   True  \n",
+       "23           0.911467      55   True  "
       ]
      },
      "execution_count": 18,
@@ -606,7 +732,14 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:06:27.879397Z",
+     "iopub.status.busy": "2026-02-11T21:06:27.879397Z",
+     "iopub.status.idle": "2026-02-11T21:07:20.419721Z",
+     "shell.execute_reply": "2026-02-11T21:07:20.419721Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Instantiate a new instance of TrendAnalysis\n",
@@ -628,7 +761,14 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:07:20.422736Z",
+     "iopub.status.busy": "2026-02-11T21:07:20.422736Z",
+     "iopub.status.idle": "2026-02-11T21:07:20.429051Z",
+     "shell.execute_reply": "2026-02-11T21:07:20.429051Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -726,7 +866,14 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:07:20.431495Z",
+     "iopub.status.busy": "2026-02-11T21:07:20.431495Z",
+     "iopub.status.idle": "2026-02-11T21:07:20.436814Z",
+     "shell.execute_reply": "2026-02-11T21:07:20.436579Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -752,8 +899,44 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:07:20.438850Z",
+     "iopub.status.busy": "2026-02-11T21:07:20.438850Z",
+     "iopub.status.idle": "2026-02-11T21:07:21.663431Z",
+     "shell.execute_reply": "2026-02-11T21:07:21.662914Z"
+    }
+   },
    "outputs": [
+    {
+     "data": {
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+       "* plotly.js v2.34.0\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)}}}},87192:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308);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 f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&u||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),v=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",v.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),y=a(\"hoverlabel.bordercolor\",v.bordercolor||i.contrast(g)),m=n.extendFlat({},v.font);m.color||(m.color=y),n.coerceFont(a,\"hoverlabel.font\",m)}a(\"captureevents\",!!d)}},26828:function(t,e,r){\"use strict\";var n=r(38248),i=r(36896);t.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,u,c=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<c.length;h++)l=c[h],u=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(u+t,s)}}},45216:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(13916);function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),u=a(\"clicktoshow\");if(l||u){o(t,e,r,a);for(var c=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var v=f[d],g=i.coerceRef(t,e,p,v,\"\",\"paper\");if(\"paper\"!==g&&i.getFromId(p,g)._annIndices.push(e._index),i.coercePosition(e,p,a,g,v,.5),c){var y=\"a\"+v,m=i.coerceRef(t,e,p,y,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==m&&m!==g&&(m=e[y]=\"pixel\");var x=\"pixel\"===m?h[d]:.4;i.coercePosition(e,p,a,m,y,x)}a(v+\"anchor\"),a(v+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),c&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),u){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 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L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},O=+e.textangle||0,P=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),I=P.append(\"g\").classed(\"annotation-text-g\",!0),D=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],z=e.captureevents||k.annotationText||D,R=I.append(\"g\").style(\"pointer-events\",z?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",W(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontShadow:n.fontShadow,fontLineposition:n.fontLineposition,fontTextcase:n.fontTextcase},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(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 q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(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 W(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,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),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),q=Math.round(z+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var K,J,$,Q,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(O+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ut=e[et+\"anchor\"],ct=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(Y=!0):Y=!0),K=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ht;\"x\"===et?($=e[et],K=dt?it._offset+it._length*$:K=T.l+T.w*$):($=1-e[et],K=dt?it._offset+it._length*$:K=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=K;var vt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.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),J=tt}else ft.tail=K+vt,J=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 J=tt=lt*H(Q,ut),ft.text=K+tt;ft.text+=ct,tt+=ct,J+=ct,e[\"_\"+et+\"padplus\"]=lt/2+J,e[\"_\"+et+\"padminus\"]=lt/2-J,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,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:\"rotate(\"+O+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){P.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(O,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,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+O+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,\"y\",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",W(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},33652:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(72196),o=r(3400),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){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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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,O=e.xpad,P=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,q=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),H=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},W=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,q),X=Y.fill,Z=Y.line,K=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),J=K/(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+O:D*et+P),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:D-it*J,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,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,noAutotickangles:\"y\"===o,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,q);lt.position=J+(o?I+O/B.w:D+P/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+O/B.w,lt.titley=ot+(\"top\"===U.side?Q-P/B.h:P/B.h)),o||ut||(lt.title.side=V,lt.titley=D+P/B.h,lt.titlex=ot+O/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=W.start;var ct=W.size,ft=u.constrain($/50,4,15)+1,ht=(q[1]-q[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(W.start)/W.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+P/B.h,ot+Q-P/B.h]:[ot+O/B.w,ot+Q-O/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=O+B.l+tt*I,e=P+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=O+B.l+tt*I,e=P+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=P+B.t+et*D+3+.75*yt,t=O+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(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[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(K,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?Z:[]);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\")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+K+(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-K-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=K+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?O:P)+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?O:0),q=(o?st:rt)-(o?$:P+g-w);t.select(\".\"+A.cbbg).attr(\"x\",j).attr(\"y\",q).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var H=v?Math.max(u-10,0):0;t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?rt:st+O)+H).attr(\"y\",(o?st+P-$:rt)+(f?xt:0)).attr(o?\"width\":\"height\",Math.max(K,2)).attr(o?\"height\":\"width\",Math.max($-(o?2*P+xt:2*O+H),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M});var G=o?nt*b:0,W=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,W=z?B.t-W:-W,t.attr(\"transform\",c(G,W)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll(\"text\"),X=Y[0].length,Z=t.select(\".\"+A.cbbg).node(),J=p.bBox(Z),Q=p.getTranslate(t);Y.each((function(t,e){var r=X-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=J.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=J.left+Q.x+st+S+2-s)<0&&(n=0)}n&&(X<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var tt={},et=T[L],at=k[L],ot=T[C],ct=k[C],ft=b-K;o?(\"pixels\"===h?(tt.y=D,tt.t=$*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-q-W,t:q+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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nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt,gt=[],yt=[],mt={hLinePoint:null,vLinePoint:null},xt=!1;if(Array.isArray(e))for(S=\"array\",at=0;at<e.length;at++)(st=t.calcdata[e[at].curveNumber||0])&&(lt=st[0].trace,\"skip\"!==st[0].trace.hoverinfo&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0)));else{var bt,_t,wt=t.calcdata.slice();for(wt.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),ot=0;ot<wt.length;ot++)st=wt[ot],\"skip\"!==(lt=st[0].trace).hoverinfo&&x.isTraceInSubplots(lt,b)&&(yt.push(st),\"h\"===lt.orientation&&(xt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var Tt=l.getBoundingClientRect();bt=e.clientX-Tt.left,_t=e.clientY-Tt.top,_._calcInverseTransform(t);var kt=o.apply3DTransform(_._invTransform)(bt,_t);if(bt=kt[0],_t=kt[1],bt<0||bt>K[0]._length||_t<0||_t>J[0]._length)return v.unhoverRaw(t,e)}else bt=\"xpx\"in e?e.xpx:K[0]._length/2,_t=\"ypx\"in 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a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ft=\"closest\"):(ft=\"\",\"xval\"in a&&(ht=a.xval,ft=\"x\"),\"yval\"in a&&(pt=a.yval,ft=ft?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ht=r,pt=n):(ht=nt[ct],pt=it[ct]);if(vt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ht,pt,ft,{finiteRange:!0,hoverLayer:_._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>vt&&(gt.splice(0,vt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var c=lt._module.hoverPoints(dt,ht,pt,\"closest\",{hoverLayer:_._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=rt}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=Et(p),(!mt.vLinePoint||mt.vLinePoint.spikeDistance>f.spikeDistance)&&(mt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=Et(g),(!mt.hLinePoint||mt.hLinePoint.spikeDistance>f.spikeDistance)&&(mt.hLinePoint=f))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Lt={fullLayout:_,container:_._hoverlayer,event:e},Ct=t._spikepoints,Ot={vLinePoint:mt.vLinePoint,hLinePoint:mt.hLinePoint};t._spikepoints=Ot;var Pt=function(){var t=gt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var It=S.charAt(0),Dt=(\"x\"===It||\"y\"===It)&&gt[0]&&O[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var zt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Dt);mt.hLinePoint=Et(zt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Dt);mt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=v.unhoverRaw(t,e);return!M||null===mt.hLinePoint&&null===mt.vLinePoint||U(Ct)&&j(t,mt,Lt),Ft}if(M&&U(Ct)&&j(t,mt,Lt),x.isXYhover(ft)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=C[Bt.trace.type]?gt.filter((function(t){return 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B=t.xa._offset+(t.x0+t.x1)/2,N=t.ya._offset+(t.y0+t.y1)/2,U=Math.abs(t.x1-t.x0),V=Math.abs(t.y1-t.y0),X=W(r,w.node()),Z=X.width/i._invScaleX,K=X.height/i._invScaleY;t.ty0=(q-X.top)/i._invScaleY,t.bx=Z+2*L,t.by=Math.max(K+2*L,z),t.anchor=\"start\",t.txwidth=Z,t.tx2width=D,t.offset=0;var J,$,Q=(Z+E+L+D)*i._invScaleX;if(s)t.pos=B,J=N+V/2+Q<=G,$=N-V/2-Q>=0,\"top\"!==t.idealAlign&&J||!$?J?(N+=V/2,t.anchor=\"start\"):t.anchor=\"middle\":(N-=V/2,t.anchor=\"end\"),t.crossPos=N;else{if(t.pos=N,J=B+U/2+Q<=H,$=B-U/2-Q>=0,\"left\"!==t.idealAlign&&J||!$)if(J)B+=U/2,t.anchor=\"start\";else{t.anchor=\"middle\";var tt=Q/2,et=B+tt-H,rt=B-tt;et>0&&(B-=et),rt<0&&(B+=-rt)}else B-=U/2,t.anchor=\"end\";t.crossPos=B}w.attr(\"text-anchor\",t.anchor),D&&I.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",l(B,N)+(s?u(T):\"\"))})),{hoverLabels:Et,commonLabelBoundingBox:Q}}function R(t,e,r,n,i,a){var s=\"\",l=\"\";void 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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)}))}}}},7402:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(65760),supplyLayoutDefaults:r(25024),includeBasePlot:r(36632)(\"images\"),draw:r(60963),convertCoords:r(63556)}},3800:function(t,e,r){\"use strict\";var n=r(25376),i=r(22548);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\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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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\"),O=\"paper\"===p(\"yref\"),P=\"paper\"===p(\"xref\"),I=\"left\";if(C?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?O?(E=1.1,L=\"bottom\"):(E=1,L=\"top\"):O?(E=-.1,L=\"top\"):(E=0,L=\"bottom\")):(E=1,L=\"auto\",P?S=1.02:(S=1,I=\"right\")),i.coerce(f,h,{x:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:S}},\"x\"),i.coerce(f,h,{y:{valType:\"number\",editType:\"legend\",min:O?-2:0,max:O?3:1,dflt:E}},\"y\"),p(\"traceorder\",_),u.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"indentation\"),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 s=o[n];if(s.showlegend){var l={_input:s._input,visible:s.visible,showlegend:s.showlegend,legend:s.legend};a.push(l)}}var u=[\"legend\"];for(n=0;n<a.length;n++)i.pushUnique(u,a[n].legend);for(e._legends=[],n=0;n<u.length;n++){var f=u[n];c(f,t,e,a),e[f]&&e[f].visible&&(e[f]._id=f),e._legends.push(f)}}},31140:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=r(7316),o=r(24040),s=r(95924),l=r(86476),u=r(43616),c=r(76308),f=r(72736),h=r(33048),p=r(65196),d=r(84284),v=d.LINE_SPACING,g=d.FROM_TL,y=d.FROM_BR,m=r(35456),x=r(2012),b=r(42451),_=1,w=/^legend[0-9]*$/;function T(t,e){var r,s,h=e||{},d=t._fullLayout,w=P(h),T=h._inHover;if(T?(s=h.layer,r=\"hover\"):(s=d._infolayer,r=w),s){var S;if(r+=d._uid,t._legendMouseDownTime||(t._legendMouseDownTime=0),T){if(!h.entries)return;S=m(h.entries,h)}else{for(var I=(t.calcdata||[]).slice(),D=d.shapes,z=0;z<D.length;z++){var R=D[z];if(R.showlegend){var F={_isShape:!0,_fullInput:R,index:R._index,name:R.name||R.label.text||\"shape 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.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=P(i);i||(i=a[o]);var 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n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function O(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,O=m.legend,P=m._fullInput;if(P&&P._isShape||!n.traceIs(m,\"pie-like\")){var I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(D)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var B,N,j,U,V=!0;for(x=0;x<y.length;x++)if(B=(U=y[x])===m,N=!0!==U.showlegend,!(B||N||D&&U.legendgroup===k||U.legend!==O||!0!==U.visible||n.traceIs(U,\"notLegendIsolatable\"))){V=!1;break}for(x=0;x<y.length;x++)if(!1!==(U=y[x]).visible&&U.legend===O&&!n.traceIs(U,\"notLegendIsolatable\"))switch(m.visible){case\"legendonly\":tt(U,!0);break;case!0:j=!!V||\"legendonly\",B=U===m,N=!0!==U.showlegend&&!U.legendgroup,tt(U,!!(B||D&&U.legendgroup===k||N)||j)}}for(x=0;x<S.length;x++)if(_=S[x]){var q=_.constructUpdate(),H=Object.keys(q);for(b=0;b<H.length;b++)w=H[b],(A[w]=A[w]||[])[E[x]]=q[w]}for(T=Object.keys(A),x=0;x<T.length;x++)for(w=T[x],b=0;b<M.length;b++)A[w].hasOwnProperty(b)||(A[w][b]=void 0);C?n.call(\"_guiUpdate\",e,A,{shapes:L},M):n.call(\"_guiRestyle\",e,A,M)}else{var G=d.label,W=p.indexOf(G);if(\"toggle\"===l)-1===W?p.push(G):p.splice(W,1);else if(\"toggleothers\"===l){var Y=-1!==W,X=[];for(x=0;x<e.calcdata.length;x++){var Z=e.calcdata[x];for(b=0;b<Z.length;b++){var 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strict\";e.isGrouped=function(t){return-1!==(t.traceorder||\"\").indexOf(\"grouped\")},e.isVertical=function(t){return\"h\"!==t.orientation},e.isReversed=function(t){return-1!==(t.traceorder||\"\").indexOf(\"reversed\")}},2780:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"legend\",layoutAttributes:r(3800),supplyLayoutDefaults:r(77864),draw:r(31140),style:r(2012)}},2012:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(3400),o=a.strTranslate,s=r(43616),l=r(76308),u=r(94288).extractOpts,c=r(43028),f=r(10528),h=r(69656).castOption,p=r(65196);function d(t,e){return(e?\"radial\":\"horizontal\")+(t?\"\":\"reversed\")}function v(t){var e=t[0].trace,r=e.contours,n=c.hasLines(e),i=c.hasMarkers(e),a=e.visible&&e.fill&&\"none\"!==e.fill,o=!1,s=!1;if(r){var l=r.coloring;\"lines\"===l?o=!0:n=\"none\"===l||\"heatmap\"===l||r.showlines,\"constraint\"===r.type?a=\"=\"!==r._operation:\"fill\"!==l&&\"heatmap\"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}t.exports=function(t,e,r){var y=e._fullLayout;r||(r=y.legend);var m=\"constant\"===r.itemsizing,x=r.itemwidth,b=(x+2*p.itemGap)/2,_=o(b,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return m?n:Math.min(i,r)};function T(t,a,o){var 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rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var O=[],P=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(P=[\"toggleHover\"],I=[\"resetViews\"]):y?(O=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(P=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(O=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?P=[\"hoverClosestGl2d\"]:m?P=[\"hoverClosestPie\"]:A?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):P=[\"toggleHover\"],v&&P.push(\"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)&&(P=[]),!v&&!b||M||(O=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==P.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(O.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)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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}},26680:function(t,e,r){\"use strict\";var n=r(25376),i=r(22548),a=(0,r(31780).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\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);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 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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)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).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}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);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)}}},20060:function(t,e,r){\"use strict\";var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],O=l._rl[1],P=O-C;if(l.p2d=function(t){return t/l._width*P+C},l.d2p=function(t){return(t-C)/P*l._width},r.rangebreaks){var I=r.locateBreaks(C,O);if(I.length){var D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(O-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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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 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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}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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n=r(76308),i=r(3400);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return t?\"bottom\":-1!==e.indexOf(\"top\")?\"top\":-1!==e.indexOf(\"bottom\")?\"bottom\":\"middle\"}(o,u)),r(\"newshape.label.padding\"),i.coerceFont(r,\"newshape.label.font\",e.font)}r(\"activeshape.fillcolor\"),r(\"activeshape.opacity\")}},9856:function(t,e,r){\"use strict\";var n=r(21984),i=r(7e3),a=i.CIRCLE_SIDES,o=i.SQRT2,s=r(5840),l=s.p2r,u=s.r2p,c=[0,3,4,5,6,1,2],f=[0,3,4,1,2];function h(t,e){return Math.abs(t-e)<=1e-6}function p(t,e){var r=e[1]-t[1],n=e[2]-t[2];return Math.sqrt(r*r+n*n)}e.writePaths=function(t){var e=t.length;if(!e)return\"M0,0Z\";for(var r=\"\",n=0;n<e;n++)for(var i=t[n].length,a=0;a<i;a++){var o=t[n][a][0];if(\"Z\"===o)r+=\"Z\";else for(var s=t[n][a].length,l=0;l<s;l++){var u=l;\"Q\"===o||\"S\"===o?u=f[l]:\"C\"===o&&(u=c[l]),r+=t[n][a][u],l>0&&l<s-1&&(r+=\",\")}}return r},e.readPaths=function(t,e,r,i){var o,s,c,f=n(t),h=[],p=-1,d=0,v=0,g=function(){s=d,c=v};g();for(var y=0;y<f.length;y++){var m,x,b,_,w=[],T=f[y][0],k=T;switch(T){case\"M\":h[++p]=[],d=+f[y][1],v=+f[y][2],w.push([k,d,v]),g();break;case\"Q\":case\"S\":m=+f[y][1],b=+f[y][2],d=+f[y][3],v=+f[y][4],w.push([k,d,v,m,b]);break;case\"C\":m=+f[y][1],b=+f[y][2],x=+f[y][3],_=+f[y][4],d=+f[y][5],v=+f[y][6],w.push([k,d,v,m,b,x,_]);break;case\"T\":case\"L\":d=+f[y][1],v=+f[y][2],w.push([k,d,v]);break;case\"H\":k=\"L\",d=+f[y][1],w.push([k,d,v]);break;case\"V\":k=\"L\",v=+f[y][1],w.push([k,d,v]);break;case\"A\":k=\"L\";var A=+f[y][1],M=+f[y][2];+f[y][4]||(A=-A,M=-M);var S=d-A,E=v;for(o=1;o<=a/2;o++){var L=2*Math.PI*o/a;w.push([k,S+A*Math.cos(L),E+M*Math.sin(L)])}break;case\"Z\":d===s&&v===c||(d=s,v=c,w.push([k,d,v]))}for(var C=(r||{}).domain,O=e._fullLayout._size,P=r&&\"pixel\"===r.xsizemode,I=r&&\"pixel\"===r.ysizemode,D=!1===i,z=0;z<w.length;z++){for(o=0;o+2<7;o+=2){var R=w[z][o+1],F=w[z][o+2];void 0!==R&&void 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},93940:function(t,e,r){\"use strict\";var n=r(72760),i=n.drawMode,a=n.openMode,o=r(7e3),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(5840),d=p.p2r,v=p.r2p,g=r(1936).clearOutline,y=r(9856),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],O=n[l][1],P=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),O=v(y.xaxis,O),P=v(y.xaxis,P),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=(O+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-O+P-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-(d.x0shift||0)),f(\"x1\",v.x1-(d.x1shift||0)),f(\"y0\",v.y0-(d.y0shift||0)),f(\"y1\",v.y1-(d.y1shift||0));break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936: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}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var u=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(u(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else 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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 s,l,u,c,f,h,p,d,v=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),m=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),b=t._fullLayout._size,_=o(m,r.x0shift),w=o(m,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(m?\"domain\"===g?l=function(t){return m._offset+m._length*t}:(s=e.shapePositionToRange(m),l=function(t){return m._offset+m.r2p(s(t,!0))}):l=function(t){return b.l+b.w*t},x?\"domain\"===y?c=function(t){return x._offset+x._length*(1-t)}:(u=e.shapePositionToRange(x),c=function(t){return x._offset+x.r2p(u(t,!0))}):c=function(t){return b.t+b.h*(1-t)},\"path\"===v)return m&&\"date\"===m.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(c=e.decodeDate(c)),function(t,e,r){var 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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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n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function O(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var v=\"left\";s.isRightAnchor(e)&&(r.lx-=h,v=\"right\"),s.isCenterAnchor(e)&&(r.lx-=h/2,v=\"center\");var g=\"top\";s.isBottomAnchor(e)&&(r.ly-=p,g=\"bottom\"),s.isMiddleAnchor(e)&&(r.ly-=p/2,g=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,A(e),{x:e.x,y:e.y,l:h*({right:1,center:.5}[v]||0),r:h*({left:1,center:.5}[v]||0),b:p*({top:1,middle:.5}[g]||0),t:p*({bottom:1,middle:.5}[g]||0)})}function A(t){return f.autoMarginIdRoot+t._index}function M(t,e,r,n){n=n||{};var i=t.select(\".\"+f.itemRectClassName),a=t.select(\".\"+f.itemTextClassName),s=e.borderwidth,u=r.index,h=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==[\"up\",\"down\"].indexOf(e.direction),d=n.height||(p?h.heights[u]:h.height1);i.attr({x:0,y:0,width:n.width||(p?h.width1:h.widths[u]),height:d});var 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s=r._toppaper.append(\"g\").classed(\"layer-above\",!0);r._imageUpperLayer=s.append(\"g\").classed(\"imagelayer\",!0),r._shapeUpperLayer=s.append(\"g\").classed(\"shapelayer\",!0),r._selectionLayer=r._toppaper.append(\"g\").classed(\"selectionlayer\",!0),r._infolayer=r._toppaper.append(\"g\").classed(\"infolayer\",!0),r._menulayer=r._toppaper.append(\"g\").classed(\"menulayer\",!0),r._zoomlayer=r._toppaper.append(\"g\").classed(\"zoomlayer\",!0),r._hoverlayer=r._hoverpaper.append(\"g\").classed(\"hoverlayer\",!0),r._modebardiv.classed(\"modebar-container\",!0).style(\"position\",\"absolute\").style(\"top\",\"0px\").style(\"right\",\"0px\"),t.emit(\"plotly_framework\")}(t),d._shouldCreateBgLayer&&delete d._shouldCreateBgLayer),g.initGradients(t),g.initPatterns(t),f&&p.saveShowSpikeInitial(t);var y=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;y&&h.doCalcdata(t);for(var 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S=\"\";n.noTicklabelposition&&\"multicategory\"!==M||(S=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===b?[\"outside\",\"inside\"]:\"x\"===_?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==S.indexOf(\"inside\")?\"hide past domain\":\"category\"===M||\"multicategory\"===M?\"allow\":\"hide past div\"),g(e,m),v(t,e,r,n),p(t,e,r,n),\"category\"===M||n.noHover||r(\"hoverformat\");var E=r(\"color\"),L=E!==l.color.dflt?E:w.color,C=T.label||m._dfltTitle[_];if(h(t,e,r,M,n),!k)return e;r(\"title.text\",C),a.coerceFont(r,\"title.font\",w,{overrideDflt:{size:a.bigFont(w.size),color:L}}),u(t,e,r,M);var O=n.hasMinor;if(O&&(o.newContainer(e,\"minor\"),u(t,e,r,M,{isMinor:!0})),f(t,e,r,M,n),c(t,e,r,n),O){var 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r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},51184:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=i.numberFormat,o=r(49760),s=r(89184),l=r(24040),u=i.strTranslate,c=r(72736),f=r(76308),h=r(43616),p=r(93024),d=r(54460),v=r(93972),g=r(86476),y=r(72760),m=y.selectingOrDrawing,x=y.freeMode,b=r(84284).FROM_TL,_=r(73696),w=r(39172).redrawReglTraces,T=r(7316),k=r(79811).getFromId,A=r(22676).prepSelect,M=r(22676).clearOutline,S=r(22676).selectOnClick,E=r(21160),L=r(33816),C=L.MINDRAG,O=L.MINZOOM,P=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){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 q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){P&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),P=!1)}function G(t){var 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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,Ot={element:bt,gd:t,plotinfo:e};function Pt(){Ot.plotinfo.selection=!1,M(t)}function It(t,r){var i=Ot.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Ot),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:P,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>O||o>O?(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>O||o>O){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 s();else!at||o<Math.min(Math.max(.6*a,C),O)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-O-.5)+\"h-3v\"+(2*O+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-O-.5)+\"h3v\"+(2*O+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,O)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-O-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*O+1)+\"v3ZM\"+(e-O-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*O+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),q(t),Gt(),H(t)}Ot.prepFn=function(e,r,n){var a=Ot.dragmode,s=t._fullLayout.dragmode;s!==a&&(Ot.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)?Ot.minDrag=1:Ot.minDrag=void 0,m(s)?(Ot.xaxes=K,Ot.yaxes=J,A(e,r,n,Ot,s)):(Ot.clickFn=It,m(a)&&Pt(),ot||(\"zoom\"===s?(Ot.moveFn=Dt,Ot.doneFn=Rt,Ot.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&&(Ot.moveFn=Ut,Ot.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Ot.moveFn(e.dx,e.dy))}}},g.init(Ot);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(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),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(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,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<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[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)),Wt([o,s,f,h]),qt(),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:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[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]||Z[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 qt(){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(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),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 Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var 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n=r(33428),i=r(83356),a=i.geoPath,o=i.geoDistance,s=r(87108),l=r(24040),u=r(3400),c=u.strTranslate,f=r(76308),h=r(43616),p=r(93024),d=r(7316),v=r(54460),g=r(19280).getAutoRange,y=r(86476),m=r(22676).prepSelect,x=r(22676).clearOutline,b=r(22676).selectOnClick,_=r(79248),w=r(79552),T=r(27144),k=r(59972),A=r(55712).NO;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var 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0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==c&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===c||\"north america\"===c&&50===u)&&(r(\"showsubunits\",x),r(\"subunitcolor\"),r(\"subunitwidth\")),d||r(\"showframe\",x)&&(r(\"framecolor\"),r(\"framewidth\")),r(\"bgcolor\"),r(\"fitbounds\")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):y?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}t.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:u,fullData:r,partition:\"y\"})}},79248:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=r(24040),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},u={cursor:\"auto\"};function c(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],u=o._fullLayout,c=u[n],f={},h={};function p(t,e){f[n+\".\"+t]=i.nestedProperty(l,t).get(),a.call(\"_storeDirectGUIEdit\",s,u._preGUI,f);var r=i.nestedProperty(c,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+\".\"+t]=e)}r(p),p(\"projection.scale\",e.scale()/t.fitScale),p(\"fitbounds\",!1),o.emit(\"plotly_relayout\",h)}function h(t,e){var r=c(0,e);function i(r){var n=e.invert(t.midPt);r(\"center.lon\",n[0]),r(\"center.lat\",n[1])}return r.on(\"zoomstart\",(function(){n.select(this).style(l)})).on(\"zoom\",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render(!0);var r=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":r[0],\"geo.center.lat\":r[1]})})).on(\"zoomend\",(function(){n.select(this).style(u),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,v,g=c(0,e);function y(t){return e.invert(t)}function m(r){var n=e.rotate(),i=e.invert(t.midPt);r(\"projection.rotation.lon\",-n[0]),r(\"center.lon\",i[0]),r(\"center.lat\",i[1])}return g.on(\"zoomstart\",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=y(r)})).on(\"zoom\",(function(){if(h=n.mouse(this),function(t){var r=y(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?y(h)&&(d=y(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=y(r=h),v=!0,t.render(!0);var l=e.rotate(),u=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":u[0],\"geo.center.lat\":u[1],\"geo.projection.rotation.lon\":-l[0]})})).on(\"zoomend\",(function(){n.select(this).style(u),v&&f(t,e,m)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var 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)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=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._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=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}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);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}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);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)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),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)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).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}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),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)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).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\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),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,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!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\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),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.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],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.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],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),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"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),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"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}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,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})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).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\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),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}},87152: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(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424: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])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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\"+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 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,O=s.radialAxis,P=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,D=null,z=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==D?t[i.id+\".radialaxis.angle\"]=D:null!==z&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=z)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==D?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",D):null!==z&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",z)}function H(t,e){if(0!==r){var n=b+t,a=_+e;D=Math.atan2(d-a,n-p),i.vangles&&(D=U(D,i.vangles)),D=F(D);var o=l(p,d)+s(-D);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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v.coerceEnumerated(x,r)}(z,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],z),G=d.getInsideTextFont(z,i,q,H),W=d.getOutsideTextFont(z,i,q),Y=z.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&X.s0<=0&&(f=P.range[0]<P.range[1]?P._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=D(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=D(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=z.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"outside\"===z.constraintext,angle:lt}):O(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"inside\"===z.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===z.type?\"bar\":z.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,P,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,z,e,g)},toMoveInsideBar:O}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},60100:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(43616),o=r(3400),s=r(24040),l=r(82744).resizeText,u=r(20832),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(60444);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed(\"bartext-inside\")){var o=_(e,r);a=m(r,e.i,i,o)}else t.classed(\"bartext-outside\")&&(a=x(r,e.i,i));return 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86040:function(t,e,r){\"use strict\";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).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\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),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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P=C.selectAll(\"text\").data(O);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}P.enter().append(\"text\"),P.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),P.exit().remove();var D,z=v.mode+v.align;if(v._hasDelta&&(D=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((y+g)/2-t/2*(g-y)).outerRadius((y+g)/2+t/2*(g-y)).startAngle(-E)}function O(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var P=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},I={},D=d.makeLabelFns(o,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*D},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(D+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*c)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return z(P(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=P(t);return z(e)+\"rotate(\"+-u(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:I})}var F=[m].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(O).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(O).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(O).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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P=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?P.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll(\"g.threshold-bullet\").data(I);D.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),D.select(\"line\").attr(\"x1\",i.c2p(c.gauge.threshold.value)).attr(\"x2\",i.c2p(c.gauge.threshold.value)).attr(\"y1\",(1-c.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style(\"stroke-width\",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll(\"g.gauge-outline\").data([g]);z.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),z.select(\"rect\").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var K=I.selectAll(\"text.title\").data(e);K.exit().remove(),K.enter().append(\"text\").classed(\"title\",!0),K.attr(\"text-anchor\",(function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},74212:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(27260),o=r(52948);t.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function u(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return t&&t.length===e[0].length}))&&e}u([\"x\",\"y\",\"z\"])?(u([\"i\",\"j\",\"k\"]),(!e.i||e.j&&e.k)&&(!e.j||e.k&&e.i)&&(!e.k||e.i&&e.j)?(n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],s),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach((function(t){l(t)})),l(\"contour.show\")&&(l(\"contour.color\"),l(\"contour.width\")),\"intensity\"in 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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o=r(\"x\"),s=r(\"open\"),l=r(\"high\"),u=r(\"low\"),c=r(\"close\");if(r(\"hoverlabel.split\"),n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\"],a),s&&l&&u&&c){var f=Math.min(s.length,l.length,u.length,c.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},36664:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400);t.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var u=a.tickLen,c=e.selectAll(\"path\").data(i.identity);c.enter().append(\"path\"),c.exit().remove(),c.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-u,!0),r=s.c2p(t.pos+u,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},97384:function(t){\"use strict\";t.exports=function(t,e){var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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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\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").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\",O).on(\"drag\",P).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 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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 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).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)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*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 p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(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 g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,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;s*=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 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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},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,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(7316);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)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),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}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(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\",i.isArrayOrTypedArray(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\")}else\"none\"===p&&l(\"textposition\",\"none\");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}}},53644:function(t,e,r){\"use strict\";var n=r(10624).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}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);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)}},69656:function(t,e,r){\"use strict\";var n=r(3400);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(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);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\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).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,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,c=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,f=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,h=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u,textcase:c,lineposition:f,shadow:h}}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=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,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=O(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function O(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(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-=O(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=O(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])+O(i.px0,i.pxmid,!0,1)+O(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+O(i.px0,i.pxmid,!1,k)+O(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=O(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])+O(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,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(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 O(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 e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),O=(.5*S-v.r)/h.w,P=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-O,xr:M.x[1]+O,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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r.update(e),r}},41904:function(t,e,r){\"use strict\";var n=r(3400),i=r(35484);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},156:function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" \"),t.exports={attributes:r(35484),supplyDefaults:r(41904),calc:r(41484),plot:r(11072),moduleType:\"trace\",name:\"pointcloud\",basePlotModule:r(39952),categories:[\"gl\",\"gl2d\",\"showLegend\"],meta:{}}},41440:function(t,e,r){\"use strict\";var n=r(25376),i=r(45464),a=r(22548),o=r(55756),s=r(86968).u,l=r(21776).Ks,u=r(49084),c=r(31780).templatedArray,f=r(29736).descriptionOnlyNumbers,h=r(92880).extendFlat,p=r(67824).overrideAll;(t.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({autoShadowDflt:!0}),customdata:void 0,node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),align:{valType:\"enumerated\",values:[\"justify\",\"left\",\"right\",\"center\"],dflt:\"justify\"}},link:{arrowlen:{valType:\"number\",min:0,dflt:0},label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},hovercolor:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:c(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:h(u().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 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x=0;for(e=0;e<a.value.length;e++)a.source[e]>x&&(x=a.source[e]),a.target[e]>x&&(x=a.target[e]);var b,_=x+1;t.node._count=_;var w=t.node.groups,T={};for(e=0;e<w.length;e++){var k=w[e];for(b=0;b<k.length;b++){var A=k[b],M=_+e;T.hasOwnProperty(A)?i.warn(\"Node \"+A+\" is already part of a group.\"):T[A]=M}}var S={source:[],target:[]};for(e=0;e<a.value.length;e++){var E=a.value[e],L=a.source[e],C=a.target[e];if(E>0&&s(L,_)&&s(C,_)&&(!T.hasOwnProperty(L)||!T.hasOwnProperty(C)||T[L]!==T[C])){T.hasOwnProperty(C)&&(C=T[C]),T.hasOwnProperty(L)&&(L=T[L]),C=+C,p[L=+L]=p[C]=!0;var O=\"\";a.label&&a.label[e]&&(O=a.label[e]);var P=null;O&&d.hasOwnProperty(O)&&(P=d[O]),u.push({pointNumber:e,label:O,color:c?a.color[e]:a.color,hovercolor:f?a.hovercolor[e]:a.hovercolor,customdata:h?a.customdata[e]:a.customdata,concentrationscale:P,source:L,target:C,value:+E}),S.source.push(L),S.target.push(C)}}var I=_+w.length,D=o(r.color),z=o(r.customdata),R=[];for(e=0;e<I;e++)if(p[e]){var F=r.label[e];R.push({group:e>_-1,childrenNodes:[],pointNumber:e,label:F,color:D?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var B=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,S.source,S.target)&&(B=!0),{circular:B,links:u,nodes:R,groups:w,groupLookup:T}}(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},11820:function(t){\"use 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n.coerce(v,g,i.node,t,e)}y(\"label\"),y(\"groups\"),y(\"x\"),y(\"y\"),y(\"pad\"),y(\"thickness\"),y(\"line.color\"),y(\"line.width\"),y(\"hoverinfo\",t.hoverinfo),l(v,g,y,d),y(\"hovertemplate\"),y(\"align\");var m=h.colorway;y(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return m[t%m.length]}(e),.8)}))),y(\"customdata\");var x=t.link||{},b=u.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"arrowlen\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333,k=_(\"color\",T?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\");function A(t){var e=o(t);if(!e.isValid())return t;var r=e.getAlpha();return 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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\"),fontWeight:_(o,\"font.weight\"),fontStyle:_(o,\"font.style\"),fontVariant:_(o,\"font.variant\"),fontTextcase:_(o,\"font.textcase\"),fontLineposition:_(o,\"font.lineposition\"),fontShadow:_(o,\"font.shadow\"),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})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),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={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var O=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-O/2,A.nodes[w].y1=C[1]+O/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(w=0;w<n.length;w++){var s=t[n[w].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}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.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 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\"+(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 C(t,e){t.call(L),e.attr(\"d\",M())}function O(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(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 A=v.SYMBOL_SDF_SIZE,M=v.SYMBOL_SIZE,S=v.SYMBOL_STROKE,E={},L=u.symbolFuncs[0](.05*M);function C(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=u.symbolNumber(a),s=u.symbolFuncs[o%100],l=!!u.symbolNoDot[o%100],c=!!u.symbolNoFill[o%100],f=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var h=u.getMarkerAngle(t,e);return r=f&&!l?s(1.1*M,h)+L:s(M,h),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:c?S:-S}),E[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 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n,i,a=r.length,o=a/2;if(h.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>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=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=c.getFromId(t,e.xaxis,\"x\"),u=c.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,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);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.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));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}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).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=n.isArrayOrTypedArray(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)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);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)}},80088:function(t,e,r){\"use strict\";var n=r(67072);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}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);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=i.isArrayOrTypedArray(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=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);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,O=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var P=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(P,I)&&w<=Math.max(P,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,O){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}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).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 _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,O=L.t,P=O.index,I=C._length,D=O.x,z=O.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[P]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[P]=B}var N=O.xpx=new Array(I),j=O.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else O.xpx=O.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(6096),s=r(52904),l=r(5232),u=r(45464),c=r(49084),f=r(92880).extendFlat,h=r(67824).overrideAll,p=r(5232),d=o.line,v=o.marker;t.exports=h({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:f({},p.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:f({},v.opacity,{dflt:1})},mode:f({},s.mode,{dflt:\"markers\"}),text:f({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:f({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:f({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:v.opacity,size:v.size,sizeref:v.sizeref,sizemin:v.sizemin,sizemode:v.sizemode},c(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:f({},u.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},79732:function(t){\"use 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k=b[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:b},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(m=f.size,m/2),mo:v||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)}}(e);O.geojson=D.geojson,O.layout.visibility=\"visible\",E&&(O.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":b(a.cluster.color,a.cluster.step),\"circle-radius\":b(a.cluster.size,a.cluster.step),\"circle-opacity\":b(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":_(a),\"text-size\":12}}),i.extendFlat(O.paint,{\"circle-color\":D.mcc,\"circle-radius\":D.mrc,\"circle-opacity\":D.mo})}if(M&&E&&(O.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):m,u=\"auto\"!==s?y(s,!0):m,f=c.hasText(n)?y(n.text):m,h=[],g=0;g<t.length;g++){var b=t[g];if(!x(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(b,n,r),A={};p(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(g);_&&(_=_.replace(d,\"\").replace(v,\"\\n\")),h.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(g),angle:u(g),text:_}})}}return{type:\"FeatureCollection\",features:h}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in 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})),A)){var z=(a.marker||{}).size,R=h(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":_(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},15752:function(t,e,r){\"use strict\";var n=r(3400),i=r(43028),a=r(74428),o=r(66828),s=r(124),l=r(70840),u=r(31512),c=r(79732).isSupportedFont;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 e._length=a,a}(0,e,h);if(d){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),i.hasMarkers(e)){a(t,e,r,f,h,{noLine:!0,noAngle:!0}),h(\"marker.allowoverlap\"),h(\"marker.angle\");var v=e.marker;\"circle\"!==v.symbol&&(n.isArrayOrTypedArray(v.size)&&(v.size=v.size[0]),n.isArrayOrTypedArray(v.color)&&(v.color=v.color[0]))}i.hasLines(e)&&(o(t,e,r,f,h,{noDash:!0}),h(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),m=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),b=p(\"cluster.opacity\");if(h(\"cluster.enabled\",!1!==g||!1!==y||!1!==m||!1!==x||!1!==b)||i.hasText(e)){var _=f.font.family;s(t,e,f,h,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:c(_)?_:\"Open Sans Regular\",weight:f.font.weight,style:f.font.style,size:f.font.size,color:f.font.color}})}h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},37920:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},11960:function(t,e,r){\"use strict\";var n=r(54460);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},63312:function(t,e,r){\"use strict\";var n=r(93024),i=r(3400),a=r(44928),o=i.fillText,s=r(39032).BADNUM,l=r(47552).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+u*u)-c,1-3/c)}),t),!1!==t.index){var b=o[t.index],_=b.lonlat,w=[i.modHalf(_[0],360)+m,_[1]],T=f.c2p(w),k=h.c2p(w),A=b.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[c.subplot]={_subplot:p};var S=c._module.formatLabels(b,c,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(c,b),t.extraText=u(c,b,o[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}},getExtraText:u}},11572:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).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},O=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=O(A[1]).length,F=O(A[3]).length,B=O(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(C(A[1])),V=P(C(A[3])),q=P(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 H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&D[H]*V<D[W]*V&&z[H]*q<z[Y]*q||(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}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),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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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(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(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(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:X(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||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var 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(47128);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\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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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(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).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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C=Math.max(l(e.header.line.width),l(e.cells.line.width)),O={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\"__\"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return O.columns.forEach((function(t){t.calcdata=O,t.x=h(t)})),O}},53056:function(t,e,r){\"use strict\";var n=r(92880).extendFlat;e.splitToPanels=function(t){var 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m(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(s.repeat,s.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 R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(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 f(e,E(t))}));var o=a.selectAll(\".\"+n.cn.scrollbar).data(s.repeat,s.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=o.selectAll(\".\"+n.cn.scrollbarSlider).data(s.repeat,s.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return f(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(s.repeat,s.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 c=o.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(s.repeat,s.keyFun);c.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 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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,O=0|o[7],P=8191&O,I=O>>>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,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>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,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|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,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|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,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|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,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|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,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|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,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|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(P,U),i=(i=Math.imul(P,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|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(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|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,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,Y)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|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,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,K)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|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,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,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,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),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(P,rt)|0,i=(i=i+Math.imul(P,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(P,at)|0,i=(i=i+Math.imul(P,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(P,lt)|0,i=(i=i+Math.imul(P,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(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Ot=(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)+(Ot>>>26)|0,Ot&=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 Pt=(u+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var 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]=Ot,l[16]=Pt,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 f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=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]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=ArrayBuffer,c=DataView;function f(t){return Array.isArray(t)||function(t){return u.isView(t)&&!(t instanceof c)}(t)}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(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.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],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\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],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 d=p.prototype;function v(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?f(a)&&f(a[0]):f(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(f(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,h=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var v=0;v<3;++v)p[d][v]!==this.bounds[d][v]&&(h=!0),this.bounds[d][v]=p[d][v];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,c=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d<3;++d)r[d].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),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!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\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],m=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||c)&&this._text.update(this.bounds,this.labels,y,this.ticks,m):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,m),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new v,new v,new v];function y(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 m=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var b=[0,0,0],_=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),c=u.cubeEdges,f=u.axis,p=n[12],d=n[13],v=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*v+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=c[A],this.lastCubeProps.axis[A]=f[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,c,f);e=this.gl;var S,E,L,C=m;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=f[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 O=[0,0,0];f[A]>0?O[A]=a[1][A]:O[A]=a[0][A];for(var P=0;P<2;++P){var I=(A+1+P)%3,D=(A+1+(1^P))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,O,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(P=0;P<2;++P)I=(A+1+P)%3,D=(A+1+(1^P))%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,O,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=h(b,M[A].primalMinor),R=h(_,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];z[P]*=F[P]*B,R[P]*=F[P]*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,q=h(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[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),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,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]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304: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(2762),i=r(8116),a=r(1879).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()}},6429: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 O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);o(u[I],u[O],u[P],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[O],l[P],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,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),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}},501: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(2762),i=r(8116),a=r(1879).n,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()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),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.n=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}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=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}\\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\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(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,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.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=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[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.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[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)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,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()}},6444: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}},5445: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 O=m?5:4;for(L=O;L===O;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var P=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(P[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),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]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),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}},6405:function(t,e,r){\"use strict\";var n=r(2931);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=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],O=v[x],P=n.length(O)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var D=a.positions.length;a.cells.push([D-6,D-5,D-4],[D-3,D-2,D-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),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}},614:function(t,e,r){var n=r(3236),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\"}]}},737: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\"}},5171:function(t,e,r){var 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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\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);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 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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)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);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()}}},2510: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(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);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 O,P;l?(O=x*(o[C]-c),P=x*(o[C+1]-c)):(O=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),P=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],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===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=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*O+.5*P,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)}},6768:function(t,e,r){\"use strict\";var n=r(3236);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\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),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)}},5714: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(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),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 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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]}},840:function(t,e,r){var n=r(3236),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\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),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,O=t.vertexIntensity,P=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!P)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<O.length;++R){var F=O[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=O||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,q=0,H=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]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,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),O=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}]),P=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer: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,O,P,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120: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(2762),i=r(9405),a=r(3603);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()}},1913: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(2762),i=r(9405),a=r(2478),o=r(3603);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,O=6*f[0].length,P=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*P,z=6*Math.max(0,I-P),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=O+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()}},4747: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(2762),i=r(9405),a=r(3603);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()}},3603:function(t,e,r){\"use strict\";var n=r(3236),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\"])}},2142: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(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);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\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);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],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[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,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).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()}},1850: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(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);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\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),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}}},4437: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(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),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\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({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=[],O=[],P=!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\",P=!0}}}function j(){for(var t=E.length,e=O.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,O.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),O.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||{},P=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),P=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),P=!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<O.length;++t)O[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=O.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=O[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),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!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]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,P=P||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,P=P||!!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||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,P=P||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=O.length,n=0;n<e;++n){var i=O[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(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);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\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);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]]}}},783: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}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),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)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return h.isView(t)&&!(t instanceof p)}(t)}function v(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 g(t,e,r,n){return v(n,n),v(n,n),v(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function x(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 y(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 x(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 b=x.prototype;b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},b.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 _=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=f.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function L(t){return t[0]=t[1]=t[2]=0,t}function C(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function O(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(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,p=e.axesBounds,d=function(t){for(var e=E,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],_[0]=2/o.drawingBufferWidth,_[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=_,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var y=M,m=0;m<16;++m)y[m]=0;for(m=0;m<4;++m)y[5*m]=1;y[5*v]=0,i[v]<0?y[12+v]=p[0][v]:y[12+v]=p[1][v],s(y,u,y),l.model=y;var x=(v+1)%3,b=(v+2)%3,P=L(w),I=L(T);P[x]=1,I[b]=1;var D=g(0,0,0,C(k,P)),z=g(0,0,0,C(A,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=P,P=I,I=R;var F=x;x=b,b=F}D[0]<0&&(P[x]=-1),z[1]>0&&(I[b]=-1);var B=0,N=0;for(m=0;m<4;++m)B+=Math.pow(u[4*x+m],2),N+=Math.pow(u[4*b+m],2);P[x]/=Math.sqrt(B),I[b]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=I,l.fragClipBounds[0]=O(S,d[0],v,-1e8),l.fragClipBounds[1]=O(S,d[1],v,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,_[0]=2/l.drawingBufferWidth,_[1]=2/l.drawingBufferHeight,u.screenSize=_,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=P,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 D(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1),r||(r={});var s=r.family;d(s)&&(s=s[e]),s||(s=\"normal\");var l=r.weight;d(l)&&(l=l[e]),l||(l=\"normal\");var f=r.style;d(f)&&(f=f[e]),f||(f=\"normal\");var h=r.variant;d(h)&&(h=h[e]),h||(h=\"normal\");var p=u(a,{family:s,weight:l,style:f,variant:h},i);return{mesh:(p=u(a,r,i))[0],lines:p[1],bounds:p[2],visible:o}}b.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},b.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},b.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},b.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},b.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]},b.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(d(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){d(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]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"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,v=t.size,g=t.angle,y=t.lineColor,x=-1,b=0,_=0,w=0;if(s.length){w=s.length;t:for(n=0;n<w;++n){for(var T=s[n],k=0;k<3;++k)if(isNaN(T[k])||!isFinite(T[k]))continue t;var A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;b+=3*A.cells.length,_+=2*M.edges.length}}var E=b+_,L=o.mallocFloat(3*E),C=o.mallocFloat(4*E),O=o.mallocFloat(2*E),P=o.mallocUint32(E);if(E>0){var I=0,z=b,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n<w;++n){for(x+=1,T=s[n],k=0;k<3;++k){if(isNaN(T[k])||!isFinite(T[k]))continue t;f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k])}A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;var j,U=j.visible;if(U)if(d(p)){if(3===(V=B?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)R[k]=V[k];R[3]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];if(U)if(d(y)){var V;if(3===(V=N?n<y.length?y[n]:[0,0,0,0]:y).length){for(k=0;k<3;++k)F[k]=V[k];F[k]=1}else if(4===V.length){for(k=0;k<4;++k)F[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else F[0]=F[1]=F[2]=0,F[3]=1;else F=[1,1,1,0];var q=.5;U?d(v)?q=n<v.length?+v[n]:12:v?q=+v:this.useOrtho&&(q=12):q=0;var H=0;d(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var G=Math.cos(H),W=Math.sin(H);for(T=s[n],k=0;k<3;++k)f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k]);var Y=i,X=a;Y=0,d(i)?Y=n<i.length?i[n]:0:i&&(Y=i),X=0,d(a)?X=n<a.length?a[n]:0:a&&(X=a);var Z=[Y*=Y>0?1-S[0][0]:Y<0?1+S[1][0]:1,X*=X>0?1-S[0][1]:X<0?1+S[1][1]:1],K=A.cells||[],J=A.positions||[];for(k=0;k<K.length;++k)for(var $=K[k],Q=0;Q<3;++Q){for(var 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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 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* 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\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),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],O=(l-M)/(S-M),P=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(O)||(O=.5),isFinite(P)||(P=.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(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,O),n.lerp(q,z,N,O),n.lerp(H,R,j,O),n.lerp(G,F,U,O);var W=n.create(),Y=n.create();n.lerp(W,V,H,P),n.lerp(Y,q,G,P);var X=n.create();return n.lerp(X,W,Y,I),X}(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 O=[C],P=[],I=d(C),D=C;P.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:O,velocities:P,divergences:z});for(var B=0;B<100*u&&O.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&&(O.push(N),D=N,P.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(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),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  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 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  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 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}},9499: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(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),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],O={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 P(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=O.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=O.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 O.showSurface=o,O.showContour=s,O}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=P(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=P(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,O=Math.sqrt(E*E+L*L+C*C);O<1e-8?(O=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,O=1):O=1/O:O=1/Math.sqrt(O),b.set(o,y,0,E*O),b.set(o,y,1,L*O),b.set(o,y,2,C*O)}s.free(x.data);var P=[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 q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),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=[P,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 J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}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(H=0;H<2;++H){var ot=it.positions[at[H]],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(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,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(H>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,O=k*E,P=T*L,I=T*E,D=C*f.get(_,M)+O*f.get(_,S)+P*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+O*p.get(_,S)+P*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)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);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 e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Wt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Xt,Yt,Wt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Wt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?Pn(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?Pn(Cn(t[1],t.slice(2))):\"has\"===r?On(t[1]):\"!has\"===r?Pn(On(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function On(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(Dn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(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 Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(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 Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new Dt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Oi=function(){return Mi},Pi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},Di=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 hi,this.transition={})};Di.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},Di.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},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);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(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},Fi.prototype.untransitioned=function(){for(var t=new Ni(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 Bi=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)};Bi.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 Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(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},Ni.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 ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.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},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(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 Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.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 Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(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 Ui(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 Ui(this,{kind:\"constant\",value:s},e)}return new Ui(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}(Hi),Wi=function(t){this.specification=t};Wi.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 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Vi(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($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(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(Jn,n,t,e,r))return!1}if(x(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),_(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)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,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 Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(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:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.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},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=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}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",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.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}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.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))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=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};lo.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)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.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)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a 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instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.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 oo||h instanceof so||h instanceof lo)&&!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},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)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},uo.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)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.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 Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=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 ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"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=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"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)}}},il.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)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(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&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.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),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(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>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[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];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),O=0;O<C.length;O+=3)this.indexArray.emplaceBack(k+C[O],k+C[O+2],k+C[O+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(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=Do(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];qo(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,O=A+h,P=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,O/I);z.z=P/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;To(r,e)&&(n=ul(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];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(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=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(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 cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;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.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"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=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),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=js(\"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)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.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)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){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\");this.lineClips=this.lineFeatureClips(t);for(var 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)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[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*po/(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<pl&&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),O=k?C:0,P=k?0:C;if(p&&this.addCurrentVertex(c,v,O,P,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,-O,-P,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}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Ol(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Ol(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(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 f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.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})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;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,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;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,bu(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=uu,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)*Ll,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,O=null,P=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,O={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=O.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)P=j.rect,O=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;O=V.metrics}C=(_-S.scale)*Ll}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:O,rect:P}),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:O,rect:P}),h+=O.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-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,X,d,v,a,G,i.length),t.top+=-X*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}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.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&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(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 Tu(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}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=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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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Ou(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Pu(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=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=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Oa,this.symbolInstances=new La},hc.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=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.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 he&&!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 Di(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=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Oi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.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:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var O=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.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=di(k.toString()),F=z.fontStack||O,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var 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}))}},hc.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))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.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},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.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}},hc.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,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.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,O=b.isSDF,P=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,O,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,O,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,O,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,O,S.x,S.y,E,L),lc(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&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[P])}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)},hc.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))},hc.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},hc.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)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);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)}},hc.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},hc.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))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.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)},hc.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},hc.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})},hc.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)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.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},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=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.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()||cn(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 hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.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 vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(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=dc.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 he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=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}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?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)},Ec.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)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=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()})};Lc.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))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Oc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(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?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(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)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=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]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Pc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pc.convert(a))}var o=t;return this.extend(Dc.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 Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Dc.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},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=6371008.8,Dc=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\")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.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 Ic*Math.acos(Math.min(i,1))},Dc.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 Pc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Oc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Oc(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)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(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)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.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},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(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 Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.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))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=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 k('\"'+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)]};Wc.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])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.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)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.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)]},oi(\"DEMData\",Wc);var Yc=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}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=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},Zc={geometry:{configurable:!0}};Zc.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},Zc.geometry.set=function(t){this._geometry=t},Xc.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(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.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]||{},p(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]},Kc.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}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},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},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.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]={}),p(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,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(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 tf(t,e){return e-t}Jc.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]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(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(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Oo(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(tf);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=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.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),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(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},Jc.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},Jc.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},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),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\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.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 hc){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 hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Oi()||Pi();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 Aa},ef.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\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.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 Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.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):{}},ef.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=An(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.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(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}},ef.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)},ef.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)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.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},ef.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 rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Pc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Pl,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,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=lc,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=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(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=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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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(H(t[l],l));this.trees[i+1]=new j(s,K,J,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,K,J,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),X(a),Y(i),X(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?W(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=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],O=f.points[C];O.zoom<=e||(O.zoom=e,r.push(O))}}}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?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},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 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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 u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},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 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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 t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,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.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},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),O=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,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var 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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var 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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:O,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 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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 Ot=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(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\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Ot.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()},Ot.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},Ot.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Ot.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Ot.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},Ot.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Ot.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)},Ot.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))},Ot.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)},Ot.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)},Ot.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)},Ot.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=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(oa.workerUrl)}Pt.maxOverzooming=10,Pt.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 qt={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 Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(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 Xt(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 Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.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:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.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(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),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:qt.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:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.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 Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.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.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.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.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.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),O=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),P=se(e.writingMode,S,O,d);if(P)return P}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=[],O=E.path.length-1;O>=1;O--)C.push(E.path[O]);for(var P=1;P<L.path.length;P++)C.push(L.path[P]);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 q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,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},O=null,P=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 q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,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 H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;O=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||O.circles.length>0&&!O.collisionDetected,S=S&&O.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=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?(P=Z(a.verticalIconBox)).box.length>0:(P=Z(a.iconBox)).box.length>0,S=S&&P.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(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&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),O&&(T&&i.collisionIndex.insertCollisionCircles(O.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<O.circles.length;tt+=4)Q.circles.push(O.circles[tt+0]),Q.circles.push(O.circles[tt+1]),Q.circles.push(O.circles[tt+2]),Q.circles.push(O.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 O=this.collisionCircleArrays[o.bucketInstanceId];t.invert(O.invProjMatrix,l),O.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 O=C?L:ze;d(e.icon,a.numIconVertices,O),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=C?ze:L;d(e.icon,a.numVerticalIconVertices,P),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),Oe=Math.pow(2,9),Pe=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*Oe+e*Pe+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 qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=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(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(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()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}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(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(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 He)}));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._afterImageUpdated(e)},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._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),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 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 Pt(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(qe(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 required 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)&&qe(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 Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_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;}\"),Ke=_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);}\"),Je=_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 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 exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,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 vec2 v_uv;\\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,v_uv);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;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\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;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);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=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,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};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}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 Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(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]}}Ar.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 Sr=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}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Or=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=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}},Dr=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}},zr=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]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=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\")}},jr=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}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(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]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(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]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(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(Vr(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 Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=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:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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 Kr,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}},$r=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})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=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})},rn={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_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),u_image_height:new t.Uniform1f(e,r.u_image_height)}},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 nn(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,Dr(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,O=E.circleArray[C+0],P=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,O,P,I,D,0),k.emplace(A++,O,P,I,D,1),k.emplace(A++,O,P,I,D,2),k.emplace(A++,O,P,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=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(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(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 an=t.identity(new Float32Array(16));function on(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 sn(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=on(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,O=0;O<C.length;O++){var P=C.get(O);if(P.hidden)he(P.numGlyphs,d);else{var I=v[O];if(I)for(var D=0;D<P.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(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),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var O=C.programConfigurations.get(n.id),P=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(P,a,L),O),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:z,buffers:C,uniformValues:P?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(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 fn(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):Or(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(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 hn(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?Er(k,t,A,h,v,f,g):Sr(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 pn(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=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(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 gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(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 An(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,Rr(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,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={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);sn(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)&&un(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)&&un(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&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(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:Ir(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,O=S.indexBuffer,P=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,P,n.id,C,O,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,Br(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,Nr(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))for(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,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var O=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var P=w.gradients[n.id],I=P.texture;if(n.gradientVersion!==P.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:D,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(v,P.gradient,g.RGBA),P.version=n.gradientVersion,I=P.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,O,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),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);fn(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);fn(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))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(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=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}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),_=vn(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=Xr(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?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(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++)An(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)}}},Sn=function(t,e){this.context=new Ot(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.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()}},Sn.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,Xe.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,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.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)},Sn.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,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.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,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.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)},Sn.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)},Sn.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]},Sn.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},Sn.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])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.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&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.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),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.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)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.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},Sn.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},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.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},Sn.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 Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.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()},Sn.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)},Sn.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)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.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 En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.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 Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.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 Cn=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};Cn.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},Cn.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)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var On=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 Cn,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}};On.prototype.clone=function(){var t=new On(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)},On.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},On.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},On.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)},On.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},On.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=En.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 Ln([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}))},On.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},On.prototype.zoomScale=function(t){return Math.pow(2,t)},On.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},On.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)},On.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)},On.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())},On.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},On.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},On.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},On.prototype.coordinateLocation=function(t){return t.toLngLat()},On.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)},On.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])},On.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)))},On.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},On.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])},On.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]},On.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},On.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}},On.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={}}},On.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},On.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},On.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(On.prototype,Pn);var In=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})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.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},In.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(\"/\")},In.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},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(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)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.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=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(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 Vn=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),qn=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),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.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\"}}},Yn.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)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.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},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.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=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.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 Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.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 Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({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 $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var 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.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=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}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(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}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.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]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}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._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(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}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),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:li(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=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.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,ci(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 ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.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 this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,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})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.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%vi==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()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.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())}},gi.prototype.renderFrame=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)>vi?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}}},gi.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},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.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})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.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))},xi.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)},xi.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)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.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\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(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:!0}],[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)}};Mi.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)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(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])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.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},Mi.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||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.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)}},Mi.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=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);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,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=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){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,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=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),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),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 O=E(0),P=function(t){return C(O)/C(O+_*t)},I=function(t){return w*((C(O)*(L(e=O+_*t)/C(e))-L(O))/S)/k;var e},D=(E(1)-O)/_;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},P=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/P(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(!1)}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),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.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._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),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},Ei.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},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.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\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.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)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.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},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.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 Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.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)}},Ci.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},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Oi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"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\"},Pi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,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},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,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>zi)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new On(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 Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Oi,e.locale),this._clickTolerance=e.clickTolerance,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 Ii))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\",\"_onMapScroll\",\"_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),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(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 Ei({customAttribution:e.customAttribution})),this.addControl(new Li,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&&(r=e.getDefaultPosition?e.getDefaultPosition():\"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.hasControl=function(t){return this._controls.indexOf(t)>-1},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?zi:t)>zi)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 Vn(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 Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(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 Pi||Di&&r instanceof Di){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 Pi||Di&&r instanceof Di?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 Pi||Di&&r instanceof Di);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\"),this._canvas.setAttribute(\"role\",\"region\");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)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},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 Sn(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._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},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)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),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(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(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}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,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))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.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},ji.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 Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.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},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({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 Vi(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}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.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)}},Ui.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()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.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)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.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))},Ui.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))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={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 Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){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._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!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 a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.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\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),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()})),Hi(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=Vi(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,qi[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){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(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._pointerdownPos=null,this._isDragging=!1,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._pointerdownPos=t.point,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),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,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!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),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,Xi=0,Zi=!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&&Zi)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 Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({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\":Xi--,Zi=!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\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!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),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.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},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=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\")};ea.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},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.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)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.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())},ea.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 ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),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._focusFirstElement(),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){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),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.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){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=Vi(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=aa(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,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(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 aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,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. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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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 / 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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 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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{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),O=c.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,I=0;P<this.counts.length;P++){for(var D=this.counts[P],z=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],O[2*I]=z.width[B],F){var j=O[2*I-2],U=O[2*I],V=O[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}O[2*I+1]=V}else O[2*I+1]=.5*O[2*I];I++}this.textWidth.push(O.length?.5*O[2*I-2]+O[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:O,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(O),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var 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},72200:function(t,e,r){var n=r(48088);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 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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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}},82368: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},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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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]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(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=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.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:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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\\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:\"\\nprecision highp float;\\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 * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.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);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.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}},g.prototype.destroy=function(){return 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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 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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}\\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\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\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,O=L.color,P=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(O.length||P.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=O[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=P[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(O.length||P.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=O[F]&&(E[4*F]=O[F]%f,E[4*F+1]=Math.floor(O[F]/f)),null!=P[F]&&(E[4*F+2]=P[F]%f,E[4*F+3]=Math.floor(P[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(50896);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}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);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 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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],O=E[2],P=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+O*y-S[2],b+P*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}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,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=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);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},15168:function(t,e,r){var n=r(50896),i=r(38700);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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+       "                            \n",
+       "var gd = document.getElementById('3fb8c3d2-c364-43eb-90e0-f828787d112b');\n",
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+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
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+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
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+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
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+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
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      "metadata": {},
      "output_type": "display_data"
@@ -62143,11 +62353,18 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:07:21.698441Z",
+     "iopub.status.busy": "2026-02-11T21:07:21.698441Z",
+     "iopub.status.idle": "2026-02-11T21:07:21.946782Z",
+     "shell.execute_reply": "2026-02-11T21:07:21.946782Z"
+    }
+   },
    "outputs": [
     {
      "data": {
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c//rXv5SFYUVFBUCdimlyu9VqDdmWlJQU9PP27dtDriktLS3EsEpMTAx7Lvl48pgAXnjhBWbNmkVsbCyjR4+mQ4cOmEwmVCoVy5cvZ8eOHUEiA3/7299o06YNCxcu5D//+Q/PP/88KpWK4cOHs2DBAi666CIgYBwArFmzhjVr1oQdD0BlZWXQmE419oZSUVGh1DxryLHk8R48eLDe50Ye76nGrNFolPzAcNR1PVarlYsvvpjs7GwGDhzItGnTiIuLQ6vVYrVaeeGFF4LuR1PmzePxMGrUKH766Sd69+7NDTfcQEJCgjJXTz75ZL0CHw2lIc/+sWPHsFqtQYZVY97DhlDf/f7kk0/q3Ve+3xqNhu+++46nnnqKpUuX8tBDDwFgNpu57bbbmD9/vvLR5UwxadIkvvzyS/71r3/x1ltv8eqrrwKQkZHB/PnzGT169Bkdj0AgaHmEYSUQCM4IGo2G66+/nl27dvHPf/6T7777jokTJyoLtP79+ytfzE/X+WfNmsWsWbM4ceIEP/zwAx9++CGffPIJe/bsYc+ePRgMBmU8hYWFYY8jqwKGUzysqboGAeW1mopgdVFUVBS2XR6DfC6v18sTTzxBUlISv/zyS8gCWP6qX5tp06Yxbdo0rFYrmzZt4rPPPuOtt97iqquuIisri4SEBOUcL7zwAjNnzjzlmOX+pxp7Q4mOjqasrCysgES4Y8nnv+666/j0008bdA7Zu1lUVMQFF1wQtM3n81FaWlpnXafa91bmjTfeIDs7m8cffzzEk7J582ZeeOGFsONuzLx9/vnn/PTTT0yfPj1E8fL48eMtpihX89kP54Ws79lvScLNtXzOzz//vME18GJjY/n3v//Nv//9bw4dOsT333/Pq6++yksvvYTValVERWRvcW3Pr4zVaq3TeGws48ePZ/z48VRVVbFlyxa+/PJLXn75Za6++mq2bdtGz549W+Q8AoGgdRBy6wKB4IxiNpsBlDCmqKgoevXqxZ49eygrKzsjY2jbti2TJk3i448/ZtSoURw+fJjdu3cDAQMPAvLJtfF6vWzYsAGAAQMGtNh4fvjhh7Cy3PIY5DGVlJRgtVoZMmRIiFFVWVl5SsM0JiaGcePG8frrrzN9+nTKyspYv349EAiFA5TrOxVms5nOnTuTn5/P4cOH6xx7QxkwYAB+v58ffvihQcfq3r27ohzp8XgadA55HsOd48cff6xzYV0fhw4dAgJKdrUJF9JXcwzhPDnhrlU+x6RJkxp0DkAJM2yMt6i+Z//QoUPk5eWRnp7eYkZGY2js81mbzp07c+edd/L9998TFRXF559/rmyLjY0FIDc3N2S/Q4cOBXmMT4VGo2nQnEdGRjJq1Ciee+455syZg9vt5quvvmrweQQCwdmJMKwEAkGLsmTJEtasWRPWUCgsLOT1118H4LLLLlPa//a3v+F2u7njjjvChtiVl5c3y5vlcrnYuHFjSLvH41GMOZPJBMDEiROJi4tjyZIl/Pjjj0H9n3/+ebKzs7niiitC8quaw8GDB0NqSn3++ed8//33dO7cWZFbb9u2LSaTiczMzKAQN4/Hw1//+ldKSkpCjr127dqwtYROnDgB/HrdF110EcOGDePTTz/lrbfeCjvOXbt2KfsB3H777fj9fh566KGg+52dnc1//vOfhl6+ciwIyOLXrMtUVlYWNodKq9Xyl7/8hePHjzNz5kyqq6tD+hw/fjyotte0adMAmDt3btBi2e12M2fOnEaNV0aWMq9tjGzbto358+eH9E9JSWH06NFkZ2fz0ksvBW2T73lDz3HkyBElxK02cljjsWPHGnAVAe644w4A/vnPfyo5dRAwzu6//378fj933nlng4/Xklx77bV06tSJ//73v6xatSpsn82bN+NwOIDAM3jkyJGQPuXl5bhcLiIiIpS27t27Y7FY+Pzzz4Oe7+rq6gZ5b2sSHx9PcXFx2Odx/fr1YY132Xspv4sCgeDcRYQCCgSCFmXLli288MILJCUlMXToUKXeU3Z2NitXrqS6upprr72WKVOmKPvccccdZGZmsnDhQjp16sRVV11Fhw4dKCsrIzs7m/Xr13P77bfzyiuvNGlM1dXVDB06lM6dO5ORkUFaWhpOp5M1a9awb98+rrnmGnr06AEEPGhvvfUWU6dOZfjw4UydOpUOHTqQmZnJ6tWrSUpKUnIjWooxY8Zw33338dVXX9G3b1+ljpXRaOStt95SQpXUajUzZ87k6aef5sILL+Taa6/F7Xazdu1aysrKGDlyJGvXrg069nXXXUdUVBSDBw+mY8eOSJLEhg0b2Lp1KxkZGVxxxRVK3w8++IBRo0Zx55138p///IdBgwYRExNDXl4eO3fuZPfu3WzevFmpK3TfffexfPlyli1bxoABA7jqqquwWq1KgdkvvviiwXPwu9/9jo8++ogvvviC3r17c+211+LxeFi6dCkXX3xxWK/Yo48+yo4dO3jllVdYsWIFo0aNon379pw4cYKDBw+yceNG5s6dq4RXDR8+nBkzZvDaa6/Rq1cvJk+ejE6nY8WKFURHR5OcnBxWRKQ+pk2bxoIFC5g1axZr166lS5cuHDx4kC+//JJJkyaFLT793//+l0suuYRZs2axevVq5Z5/9tlnTJgwgRUrVgT1nzBhAp07d+a5555j165d9O/fn2PHjvHll18yfvz4sMbTyJEjUavVzJ49m927dytemUceeaTOaxkyZAgPPvgg//d//0fv3r2ZMmUKkZGRfPXVV+zevZuhQ4fywAMPNGp+WgqdTsenn37KVVddxfjx4xkyZAj9+vXDZDKRm5vL1q1bOXLkCMePH8dkMrFjxw4mTZrExRdfTI8ePUhOTqa4uJjPP/8cj8cTZJDqdDr++te/8o9//IP+/ftz3XXX4fV6WbNmDcnJySQnJzd4nHJdtzFjxnDZZZdhMBjo27cvEyZMYObMmeTn53PppZfSsWNH9Ho9mZmZfPfdd6SlpXHjjTeejqkTCARnklbVJBQIBOcdx44dk1566SVp4sSJUteuXSWz2SzpdDopKSlJGjt2rLR48eKw0uKSJEkrVqyQxo8fLyUkJEg6nU5KTEyULr74Yunhhx+W9u3bF9SXMHWNZGpLSbvdbumZZ56RxowZI6WmpkoGg0Fq06aNNGjQIOnll1+WXC5XyDF++uknaeLEiVKbNm0knU4npaamSnfffbeUn59/yvM1lJoyz5s2bZIuv/xyyWw2S1FRUdLo0aOln376KWQfj8cj/etf/5J69OghGY1GKTExUbrllluko0ePhh3Hyy+/LE2cOFFKT0+XIiIipNjYWKlfv37SM888E7Yels1mk+bOnSsNGDBAioyMlIxGo9SxY0dp3Lhx0quvvipVVlYG9a+oqJDuvfdeKTk5WTIYDFK3bt2kZ599Vjp8+HCj5NYlKVBP6sknn5TS09MlvV4vpaWlSXPmzJGcTmed99vv90vvvvuuNGrUKCk2NlbS6XRScnKydOmll0pz586Vjh07FtTf5/NJzz33nNStWzdJr9dL7dq1k+655x7JarVKUVFRUt++fYP61yWrXZM9e/ZIEyZMkBISEiSTySQNGDBAev3116Xs7Ow65+DgwYPS5MmTpejoaMlkMkmDBw+WvvzyyzrPd+zYMemmm26SkpOTJaPRKPXs2VN65plnJI/HU+fcLF68WKk/xsmyBzL1PbNLliyRLr30UikqKkoyGAxSz549pX/+859B9cVk6pMXP5Xke21kufX6KCoqkh566CGpV69eUkREhBQZGSl17txZmjx5srR48WJFej83N1eaPXu2NGTIECkxMVHS6/VS+/btpTFjxkirVq0KOa7f75fmz58vXXDBBcr7/sADD0hVVVWNkluvrKyU7r77bql9+/aSRqMJuv8fffSRdOONN0qdO3eWIiMjJbPZLPXq1UuaM2eOdOLEiQbNkUAgOLtRSVKYGBGBQCAQCH5DHDx4kK5du3LjjTeyZMmS1h6OQCAQCM5BRI6VQCAQCH4zFBYWhuT/ORwORQL/uuuua4VRCQQCgeB8QORYCQQCgeA3w/PPP8+SJUsYMWIE7dq1o7CwkP/973/k5eUxduxYpk6d2tpDFAgEAsE5ijCsBAKBQPCbYfTo0ezYsYPVq1dTVlaGVqula9euzJw5k1mzZtVZr0ogEAgEglMhcqwEAoFAIBAIBAKBoJmIHCuBQCAQCAQCgUAgaCbCsBIIBAKBQCAQCASCZiIMK4FAIBAIBAKBQCBoJsKwEggEAoFAIBAIBIJmIgwrgUAgEAgEAoFAIGgmwrASCAQCgUAgEAgEgmYiDCuBQCAQCIB169ahUqnC/vvxxx+D+m7atImhQ4diMplISkpi5syZVFZWhhzT5XLx0EMPkZycTEREBIMGDWLNmjVn6pIEAoFAcAYRBYIFAoFAIKjBzJkzufjii4PaOnfurPz/9u3bufzyy+nRowfPPfcceXl5PPvssxw8eJCvvvoqaL/p06ezdOlSZs2aRZcuXXj77bcZN24ca9euZejQoWfkegQCgUBwZhAFggUCgUAgIOCxGjlyJJ988glTpkyps9+4cePYvn07WVlZWCwWAN544w1+//vf880333DllVcC8NNPPzFo0CAWLFjA/fffD4DT6aR37960bduWTZs2nf6LEggEAsEZQ3iswuD3+ykoKMBsNqNSqVp7OAKBQPCbQZIk7HY7ycnJqNWtF61ut9uJiIhAqw3+M2mz2VizZg333nuvYlQBTJs2jXvvvZePP/5YMayWLl2KRqNhxowZSj+j0cidd97JnDlzyM3NJTU1tUHjEX+XBAKBoPVo6N8mYViFoaCgoMF/7AQCgUDQ8uTm5pKSktIq57799tuprKxEo9EwbNgwFixYwEUXXQTArl278Hq9ys8yer2efv36sW3bNqVt27ZtdO3aNcgAAxg4cCAQCCls6N8a8XdJIBAIWp9T/W0ShlUYzGYzEJi82n8QBc1nd76V7blW+qXG0Lt9TGsPR3AWIZ4Ngc1mIzU1Vfk9fCbR6/VMnjyZcePG0aZNG/bu3cuzzz7LsGHD2LRpE/379+f48eMAtGvXLmT/du3asWHDBuXn48eP19kPAsZSXbhcLlwul/KzHLUv/i4J6qKkpIROnToFtR0+fJg2bdq00ogEgvOHhv5tEoZVGOQwC4vFIv6AnQb27yrFpTKyv8zHkB5n9/zuzLOSmVNORlosfVJiWns45z1rN+RxoMhJuaeSIT06BG1blpnLmr1FjO6ZyOSMwJd7cX/OX1oj3G3IkCEMGTJE+fmaa65hypQp9OnTh9mzZ/P1119TXV0NgMFgCNnfaDQq2wGqq6vr7Cdvr4v58+fz5JNPhrSLv0uCuqhpiMuYzWbxvAgELcip/jYJuXXBGScjLZYYk46MtNjWHsopycwpZ3+hnYVrD7Ezz9raw/mNEF5PZ2lmHvuO21mamae0ZeaUY3V4yMwpP1ODE/zG6Ny5M9deey1r167F5/MREREBhF/EOp1OZTtAREREnf3k7XUxe/ZsKioqlH+5ubnNvRSBQCAQnGaEx+osRP4KbzFqsTm9Df4af658ve+TEnNWj09mZ56VAms1OaVVpMVHkplTftaN+1y55w2le5KZ3DIH3ZNCXe16rZpKlxe99tfvQRlpscr1CwSni9TUVNxuN1VVVUoYnxwSWJPjx4+TnJys/NyuXTvy8/PD9gOC+tbGYDCE9XYJBAKB4OxFGFZnEfIieUeulXKHG7fXz8D0+AYv6GXvypYjpdwzsvN5sdBuTTJzyjHptfRuH01yTMRZt3jfmWdl/qp9uLx+CqzV58X9tjm9dEuyYHN6Q7Z1TTRTWFFNTqmDZZm5dEk0n1dGpeDs5ciRIxiNRqKioujduzdarZaff/6Z66+/XunjdrvZvn17UFu/fv1Yu3YtNpstKBxry5YtynaBoKWIjo5m7dq1IW0CgeDMIUIBzyLksKYimxNQkWgxNipkzmLUsj3Xil+SzqrQqGWZudy9+GeWZQZCWXbmWVm0MTsktK6u9jPJssxcfvfaZmZ9uA2LUYvD7aXY7qLAWncuRGuRmVOOy+unotoDnN3z2lDqCxOd0DcZlUpNpEHLmr1FrNhRwLr9xazYUXBOXaPg7KW4uDikbceOHXzxxRdceeWVqNVqoqOjueKKK3jvvfew2+1Kv8WLF1NZWcnUqVOVtilTpuDz+XjttdeUNpfLxaJFixg0aJBQ+RO0KHq9nhEjRgT90+v1rT0sgeA3hfBYnUYaG6ZlMWpZvacQl9cHwLAu7ZQk/YZgc3rpEGfiWJmDq3qdHbd2Z56VF787hNPjo6Law+SM1KC8mJrzUlf7mWTN3iKyS6o4UFRJgtnAgSI7W4+WkxClJzkm4qzyjFiMWgxaNRe2j2ZC3+Szel4bSn1hon1SYuifGs3Xe4owaFUYdRrsTje78ysAMOm158Q1Cs5ebrjhBiIiIhgyZAht27Zl7969vPbaa5hMJp5++mml39y5cxkyZAjDhw9nxowZ5OXl8a9//Ysrr7ySMWPGKP0GDRrE1KlTmT17NidOnKBz58688847HD16lDfffLM1LlEgEAgEp5GzY/V9nrJiRwEHiiobHKZlc3pxef3sL6xEq1Gx4WBJowyrjLRYVu8pxKTXkFVoP/UOZ4DMnHIkScLm/DU3Rs6LsRi1LNqYrXgnduRaKbI5mZLROrVrAEb3TGRHnhWNGortLg4U2XF7fRTanFiM9b8uZzrfyeb0MjA9nhiTTjlf7XyjnXlWduRa2Xq0jEqnhzc2HOHijnHcMTT9nDRAyh0eLEYdFdVeEswGnB4fMabAF9kzLYjSmPt9vuXCna9MnDiR999/n+eeew6bzUZCQgKTJk3i8ccfp3Pnzkq/AQMG8O233/LQQw9x7733YjabufPOO5k/f37IMd99910effRRFi9eTHl5OX369OHLL7/ksssuO5OXJhAIBIIzgDCsTjsSxXaXYkDUt6iyGLUcr6jG6fGh9qk4XFzZqDP1SYmhd/toDhSdHUYV/GrsGXUa3F5/UKjWhoMllDs8FFirSY6JoNzhQa9Vh82vOVNMzkhlw8ESduVXUO5wY9Jr0Wo8JJoNpxzXmc5xqy3cEM7bk5lTzrEyB4U2J34/2Jw+fj5aRt/Us1tApKYhAr8ajKN7JpJvrcbh9lFsdxFr0rHpSCkd401M6Jt8Rq+pMZ7AwEcW+3mTC3e+MnPmTGbOnNmgvkOHDmXjxo2n7Gc0GlmwYAELFixo7vAEAoFAcJYjDKvTiByeVWCtbtACLKvQjlqlQqtWoVKpiItsfGz0hL7JrNgRKDq5M8/a6ou4PikxTMlI4fUN2fgliYVrD5EaZ8Kk1/JzThllVR7sTjcT+vZW8phaUyRiZ56VXfkVFNqcWB0eOreNosrtxRKhO6XHymLU8uORUgxaNSt2FJz2uW+IuqLFqKW0yo1OrcLpl9CpITZSf9YJcdSmtox6TYN10oAU1u0vptzhZnupA1u1h8MnKpsdBthYr1LjFQnPfF2m5rIzz6r8PjnThqtA8Fuj499XntbjH316/Gk9vkAgEIbVaUVe+Nb++l4XxfZAvZMoo5a0+Ei6JtZf3bmuc8pfx8/E4r4h2JxeoiN07CmooFeyhWqPjyKbi/IqD35JoqDCGTJXQJPH3pywqxU7CiipdOH2+gEosjlJjo7AfFL6vj6yCu14fH68/vB1mE4X9S1+bU4v3RLN2Ko9xJjUqFQQF6nnrR+ySTAbzrrFsnwt8rvgcBvonmQmp7SKsio3D3+2i04JUYCE2+snLlKHx+cPMRab8gw0NhetoWUDduZZKba7cHt9YWXkz2Yyc8o5UFQJSCJ/TSA4y5EkP/7q4IgVdYQZlUrolAkEZwphWJ1mGrvAM+o0dG4bRaxJz+78CpZl5jYqzwogM6eMrMJK7E5PE0fdsmSkxfLR1lzamo1UVHtRq1RER+go1mkA6JZoVuapwFrdbBGChiyQ67svMRFanG4fbSL19EuNIcFsUK7jVCRaDBi0Gib0rbs+TUsiS67nllcTqdeQW+YICkO0GLXsyrfi9flxe31EGrTsO27H55dIizeddYIc8kLe7nTjcPsx6jTYnF56t49m1a7jVNp86DRqDFo1eq2aRIuRCX3bB93HnXlWFq49pOReNdT4kT2ml/do2+DxNuT9zswpDxvmei7kXWWkxVJgreZAkZ3VewqxGLWN/n0kEAjODP5qO3kv3hzUlvKX99GYhOS6QHCmEIbVaaIphkKC2UBKbARdEwNFUv1SQKWuIQuZmou0sioPKuBoieOsCAeEQOFXWZgit8zBhz/nYtSpFSEF2csWa9LTN7V5NaMsRi1bjpQSa9Jx9+KfGd0zMaTmUV3G14S+yeSWOeiWBGoVDOvSpsFFmif0TVbqXZ2uOV+WmcuavUWM7pnI5IxUVuwoILe8GrfHh1atIsakD7qmrEI7DpcPt9ePTqNGp1HjlyRiTXoMWvVZFxJoMWpxe32csLuocnr5vtqNComjpQ6MOg1atYqyKjdxkTpO2F3EmvTcfml60DEyc8qJMemxOtwNvj65ZllNIZCG7ncqI16+Jr1WzY5cK3NX7q1XxbE1CJfTJhcon9A3mfmr9lFgdbI0M08YVgKBQCAQ1EGTDKvjx48r1ecF4WmKoSDnRxXbXVR7fKhVAZW6hiAv0lbsKMCgVeH2+omJ0LJw7aFWLxb81g/Z7MqvICU2ApvTS5Xbh1atpsrlpcgWCAN864ds8sqrwy6UG4tcZPabPYVER+hYs7cIm9OrzI+8aIRQL1SflBhG90xk4brDONxeqj0++qXGnhWLX4ClmXkUWKupqPbQJdHM7vwKvCfDDxMtBrbnWkmyGJT+xXYXKhWoVBBt0nFxx7hGGYutpXRYUOEElQqNSsW23AqiI3S0NRuIjtDhl+BAkV3JQZy7cu9J9UY/UzJSFC+L+RQ5cTUJp1TZmBIJBVYH/169n86JUTxxTe+gfbMK7bi8fo5XOCmscLHrpDy8bFydDcZt7Zw2q8PDliOldEuykJlTTqLFyAm7i0SLsZVHKhAIBALB2UuTDKvU1FRGjRrFrbfeyqRJk4iMjGzpcZ0nqEgwGxpsKMielEBOA1zZK6nBX4dlL41Rp8Hrh/goPR4/IR6M1qDI5qTK5WXbsXLsJ2ttxZp0ALi8Pu5e/DPVHh8psSaARi1sw5GRFsuKHQWY9GqKbE4uuSBOWTg73AEDC+D2S9OVwrIVDjf/yzoBQKeEKEoqXbg8fg4U2RnRrW2DFtynU/lNNnD0WjVev0Sly8tbP2Tj8ga8URE6DduOWUmJjSCr0B6UqxYfZcDu9GI8GXopG1Vw6rk+nV6Vmrlh3ZPMZBXaKba7KHe40apVJ2X6PbSPjSDWpFM8jwvXHqJrohm1ipO1xirZnW8jyqBRPLxNzZdatDG7UftlFdo5YXeRb3XhlyR25dvC5jaesDupcnpxe/1EGrUU210NztE6E9QU4jhYZFc8vj9ll5JoMTKsSxv6psacFUagQCAQCARnK00yrJ566ik++OADbrvtNv74xz8yceJEbrnlFqUyvSCwUNydX8GBIrsS+tNQpbGmqOPJXpqc0ipMeg0mvYbLu7cl2tS6CnA786wkWowcr3ACkFPqwGzUMviCeAB251eQW15NpcvLlT0TOVBk570fc1i3/wQjurVtkoElC3jklTtxeX1sy7VytNRBkc1Jx3gTu/Mr0GvVFFirKba7OFbm4NAJOy6PH71WTZRBS5RBi8vrpl20kdsvTW/Egrt+5bemeoBkQ6FropkInYYYk56c0irMRj0XpujYd9yOSacmv7walUrFWz9kkxYfSYLZwKjubfnxSCk6jZrDxZUcK3Pw6S95RBkCIinynIWjwuHmmz1FjOnVMM9pY6gpjJBb5iC7xEFJpQu9VkWHuEiKbE6iIwI1qx4e31MxFO8Z2Tmwb6GN1XuLiI/U0bu9BbfXr3h4G6/YR5P2K7a7sFV70KrBJ0GbMEqeE/omszu/gsPFVTi9flxeP+UON7M+3Mbh4kriIvV0TTS3qpBITSPvrR+yOXiiEpNeg06jZuvRMopsTmaP6xEixnO2GIYCgUAgEJwNNMmwmjNnDnPmzGHbtm28//77fPjhh3zwwQe0bduW3/3ud9x8881cdNFFLT3Wc4pAQVwNeeUOgBZXGquN7KUpsjnplRxNtyRzs0PqWoLMnHLS4iMpd7jZmVeBWgW78iowaNVc0qkNkXoNH/yUS4JZT26Zg7IqN16fRE6po9meEpfXh18KGHN55dV4fX4KKpxo1SpcJ1X/yqrcHCtz4PL4UalViiBCosVIucOtKDPK8+twe+vMWztVaFdTRBVk5AW/ComKag/VnkDOTl55QG7c7vTgkyBCq8br81Nkc9I3NSZEiKHYHghFszs9FEpwvMLJxR3rNiKyCu1ER+havOC0LBYRa9KRYDYQqdew8VAJPknCqNMTa9LRK9lCdomD/qnRQR4o+bl+ed1hJEkiQqfh5kHJrNlbpBxbDuuTjTEIzhuqyyho7PuXYDZg0GkwaNV0ahtFhE5DpF4T4gns3T6aE3YX9moPPr/EoROVlDs8gESBVauMr7UMlZrG0uHiSk7YnPglCY1ahUatxuX1K+M7m3LDBAKBQCA4m2iWeEX//v3p378/CxYs4LvvvuODDz5g0aJF/Oc//6Fbt27ccsst3HLLLXTo0KGlxnvOIHue5IXj6fYayQuenFIH23Ot9S6WzySyQVBW5cagVVNe5Sbq5IL3eIUTh9tHrEl3cruGuEg97WMi6J5kJtqka/K8dU8y0yHORFmVG41aRXSEFoNWg16rprCiGoc/YFg53D68fgm9Vo1aBR6fn+MVgVA+OfRpWWYuSzPzqHR56ZUcXeeCUm5bsaOAFTsKQjwQTRFVqM2W7DLFWNSoVRTZAnPol0AN+NQSlggdUzJSlDDSRRuzMem1ONwBRTqnx0dFtQf1yVpp9cnIj+6ZqIhltCSBsMlKuiZG8fD4ntz21haqPT5UqEi0GBh0QTw7cq0YdVqijDol1HV0z0RFCVGtCty/RIuBpZl52JxeXt+QTfckM+UOD26vj4Hp8XXmDdW+h02p2TShbzLfZZ0gt8xBkd1F18QoduRZ0agDQhXP39hfeS8VYwUVlS4vSBIqFfRub6FrorlVPcs1i1vHReopsAa8vQGxE+gQZ1LGV/NeCAQCgUAg+JUWUQVUqVQMGzYMq9VKfn4+q1ev5uDBgzzxxBM89thjXHfddfznP//5TQletEb+hMWo5UCRHYNW3eIehqYiz8OOXCtlVW6MOg0Rei0+vx9btRdrtZs2UQbaRBkwG7VKSFRzQ42yCu3oNCrsTg9Ojw+H28ug9ED4odvrJy0+imNlDrw+Ca1KhVajpsrtBQmySxw8PL6ncu75q/axO78Cj1+ipNKF0+Or02tVX92fmqIKB4vsjbpG2Uug16opsrmQJD+FFR7cPj9GrRqnxw8qMOo1tI+JoMtJT1tNGXHZW1VR7QEJ1JqAYVXfgn5yRuppUYErtrs4dMJOWZWLnXlWckodqFUq1CoVHp/Eih0FHK+opl10BPBrqKvN6VUMdY9PIq1NJAathv1FdlTAhe2jKbIFjAKPT8Lh9ipeu8yc8pO5XLYQo2BZZi6vb8hGkiQiDaGy9fXh80v4TtYuO1hUSaRBCwS8hhC4729vOopPkpAAk06DT5IwRxnolBDZ5JDXumhsqN6yzFze+zGHYruTHu0sGHUadFoVapUGt88f8DLnVyhGZ1ahnWqPnw0HSxosgiIQCAQCwW+BZhtWa9eu5f3332fZsmXYbDYuvPBCnn32WW6++Wa0Wi2LFi1i3rx53HrrrXz77bctMeZzkjORl2BzeomL1AcWzo3kdI/vjqHpFNmcJ6Wy9QxKj2NLdhnxUToMWg2D0uOocvuAQI6HnAc0+IL4IO9BQ8a5M8+qeBG8PglUPoxaNWuzTmCO0NHWrOdwbhUJZj1unw+zUYsEuLwqPD4/l3dPCMolCXizVGjVoFGrKXe46/RaydLaiRZjWMXBzJxyNh8uZWlmHm3NhgYLXcihiG6vn36pMfx4pBS1CvRaNRe0iVSKGktSsGBJTRnxYnvAKNSowGTSk2gxKHkz9XE6no0EsyGwgNeoWbGjgLR4Ey6vj3bRgVpnJZUOYiJ0GLSBnM3aKo6r9xQqxzpQZCc+0oDFqOWSTm2wGLWs2VtEjEkfUqdLDsWs7aV7e9NRjpVWBaToI/W0iTKcMtRN9pw5PT50ahVqjZokiwGHx0ekXkuixcjOPKsyfptDTYROhTlCh9fnR6VSEWvSt3hYXbhQvfru4Zq9RRyvqMbl8bM7vwJJApVahVEbyNV0evwUVTj57qS4S7HdRV65g7xyKHd4TotYi0AgEAgE5yJNMqx27NjB+++/z5IlSygoKCApKYm77rqLadOmceGFFwb1vf/++zEajdx///0tMuBzDbnukFGnwajTsOVI6WmTP7cYtRi0ai5sH82EvsmNWhCf7ryJPikxJFqMHCtzoNeqGdUjkVmjuzHrw23syq/gaKmDvqkxgXCk7FIc7sCXcnkxJ4+pIePMzCnH5fWjIiAzbtCq0WpUqNVQ7nBjq3bTJspIpctHmygDOo0ajy9QjDY6QkfXJAvwq0x8dISWnskWyqpcyoK8Li+PzeklLT4Sq8MddntGWiyvrT9MpdODxxcIR2zIfZKNJLvTi9XhZmK/ZD7bXoDxpNhGu+gI9hfZ6RhvwunxUWCtZmeeNUiMocBaTee2ZkDC7fXj8vqYv2ofg9LjFJGTurxwLf1syAWUi+0uRVjj6j6BOmArdhTg9PhIjomgd/toTHotWYV2kmMilP17t49md34FafGROD0+imxOEi1GJYdqdM/EIPVDCIQfnrA7qaj2cNOg0PBknz/gUZIk2J5bQc92FmVbuHske85sTi9pbSK5rGsCPx4pxe2TMOk1pMVHKmGIvZKjKal04fOD1eEmQq+lbZSeBLOBmGaEvIYjnABHffewe5KZtVkn0KhVOL1+9Bo1TrcPs0GLSa9FrfJR4vZy3FrNlzsLaBdtxOnxUen0nsxVlJqt5CkQCAQCwflAkwyr/v37ExERwcSJE5k2bRqjR4+uVw2wV69eXHLJJU0e5LnMmr1FlDs8qFUBL5LL6+etH7KV/J2WDP9Zs7eItPhIuiWZGy0d3VQVtcaMr8jmRKVSKV6KzJxyDhdX4vVJFNmcWIxatuda0WvUeDWBMC6700Ox3dWocWakxbIj18rh4kp0GpXiEftf1gmOlTmIOBmKZTEGDBK5XpgcPpmRFsvOPCtbskupdHpxuLV0iIsku8RBgtlAhE5T53xmpMWyek8hZVVu5q/aF+QRkhfnJr0Wo85LlFHb4EKxO/Os7MgNzKHs3eufGkOC2UD3JDM2pxeTXkO5w02Rzaks6m+/ND0kz6vAWs2BokoOFFUSZdDw9Z4iruqVVOf5T8ezIZ9n4dpDuL1+yqrc/HiklE4JUXSIM9EhLiC9L9enSrQYlULb8vgTLUa6JZmV8VkdHtbsLaJbkoUCa3WQIQYBI66i2suF7SNDrnP6kI48u3q/EjaaGhcZFE4r54TV9M7I9xoCnsNiu4uSSheSFMj9+im7FL1WTawpYEC1iTKQV14NkoTXHwgV/PFIKdOHdGxRgyRcGHJ9eVHRJj3Du7Vle66VKIOGE3YXPdqZ8fkDuVXbc60YtRpsLi+c9IarVSrcPj92p4eyKndQDazG5qkJBAKBQHC+0CTD6q233mLKlClERUU1qP/IkSMZOXJkU051ziMn/3dPMrNi53FKKt1UVHuUhW99C+nG5uDIwghyzaUKh5v9hfYGJZnLtWssRu1pWQzJ6oAQ8DZAQExAFk/Qa9VsOFiCSa/B4/MTaVBh0mvw+gNGl5zT1JDctT4pMTx/Y/+gtmWZuZRUuvD7A4IB/VNjcLh9HCtzMKZXwLtRcyG4aGM2eo0anwTtoo1kl1ShAgornFzWpU3Y89YMHSypdCvXXdvbdmH7aIrMBqXYakPEADJzyik/mWMlG4gGrZpr+7VXcqDmrtzLsTIHFdUevssqolNCVFAumDx3yzJz2Z1fQZRBjd3ppVuSuU6vSU1Bh5Y0rGSFRL8UMEqclT6yS6pwe/3cOLADBdZqvss6gd3pwWzUkWgxKmMM5IxJQTXi5OdXFj3ZnlvOd1knFAEJ2bDXnhT8qJ0j1yXRTJsoA+UOD23NetqajWHuh0Sx3RXknZk9rodi7GXmlOP1SUQatFzYPppyh0dRBe2bGsP0IR0VERSdRk1OqYNiu4vXN2QrOXGnKxy3Zo5abeQ5Lal0klPqIDpCR5e2ZoZ1acOavUWkt4nkQJEdvVqFy+PHqfWhVqnwn8wti4vUE2MKCIwsXHuIE3YX5pMCNcKwEggEAsFviSYZVtOnT2/hYZx/1DSMJmeksmhjNi5vILzNpNecMvynseFX8rFqfr3fX2inW5KFrEJ7vaE6O/OsvPjdIUUt7nSIFcjju2lQh6D8pa6JZgornOzOtxFj0hEdEVCv02vUVLoCBpe5hmx2U76G78yz8vqGbNxePz4J9Bo123KtWIxa+qXGsCW7TKlrVdsbER8VUHS8rIuGN37Ipk2E7qRMdijyvAdEOtToteqgeyznSckYdRrluupa9Abvm8/REgcenx+H24dbG+wlntA3mdyywEI+oBZYEbZYrc3pZWB6PN/s8ZAUbcJez3kzc8pZf6CEkkoXxXZXiMHaUGp/KJA/BGw9WkaxzRkIKVOpKLa7sBi1FADRETqsDrdS90mme5KZ3DKHImte4XDz9Z4iOsRFUOX2EW1Cke2XBSQyc8oxG3UcLq4iLd4U8l6t2FFAWZUblSpQQ6tvaoxi7NQ8JxD0Xsr/duZZ2Z1fQVyknrIqN2v2FKI+Kd+fEhuhXPfkjFR25ll564dsKqo9WB0eqt1eHv5sFwA6TUBNsDkebTn8eHTPROVdPpXXMVBny4HT7cUvBZ4fOaQyq9BOu2jjSbEKD1UuHzEmHUadBnOETlE0lA1lg1bd6iqHAoFAIBC0Bk2q5vvuu+/W+2/x4sV88sknbN68GZfLdeoDnofUNIwg4JWINelIiY1g+pCOISFatclIi21y7oW8b/ckM/sLbRTbXUFjCTdWg1aNxycpXpSWpk9KTNhrDoSxBaSxAQxaDZVOL/lWJ/6T3iK1SqUYJd9lnSAzp7zOa6nNssxcHly6E40aoow6Lu4Yi0qlIsoQ+KaQU1rFsTIHh4urOFAUMEBlb8bscT2Y0DeZCX2TGdUjkYy0WHQaNd2TzGHPlZEWq0iaJ1qMDL4gPuR6c8scgbpZXp8iu36qey0bJWVVHjRqFVVuH2o1mPRaJVdJnuN7RnamQ5yJSqdX8frIAgq1x2nSqzlWVsXh4kre/CGbt37IDjm3xajlhN0J/GqkNIXa70NGWizdksw43F6q3D5cPgkVAVGLrEK7Mu/DuiTQKSESt9ev7C97X7IK7VgdHr7eU4RGreJYWUD9cP/JED5LxK8CEhlpsahV0C81RnmeahNl0KBVBwo8y+famWdl0cZssk5+pEgwG3C4vUoOW825n5KRQoXTQ0mlG4fHT6XLh9fnZ99xOweLfg0rPFhkJ6vQTqeESLomRuGT4EhJFdklVZywOSmyOet9X0+FHH4s1/WSx1fX7xw5J9Hn9+M/qYro8vp478ccNhwsITkmgrT4SJJjjJh0GiINGhItRkZ2b8vY3kl0TzKzcO0hcsur2Z5rZVB6XJCqpkAgEDSUb775BpVKpfzT6XR07tyZJ554Arc7fO7y2YjL5eKhhx4iOTmZiIgIBg0axJo1a5p0rLlz56JSqejdu3dQ+9atW/nzn/9Mr169iIyMpEOHDlx//fUcOHAg5Bj5+fmMHz8ei8VCz549WbFiRUifTz/9lLZt21JRUVHnWPx+PwkJCfzf//1fk67lt0CTPVYqVWABIklS0Laa7SqVCovFwuzZs3nwwQebOdRzi9rhXTanl1HdE4kx6RrkEWqsXHvtAqpyjlW3JAsOt7fehXuFw43T6yctPoIEs6FOKfGaNFUprqaYhxwa2DXRzO58GymxEXRNNLP3uA29Vo1RpyYjLU7xTq3YUXCyHpW6wQbnmr1F2Ks9VDg93DU0ndQ4E29vOkphRUCSO9akx+Pz4/MTlCtSO+xw7sq95JVXExepJ/pkgd/ayJ4YWUii2O4KmkvZS1NR7aF3+2i6J5mVOZRD2uoSSbA6PEhSIBdJr1ETadAyrEubsHPv9AQML69bwu4M9XrK4zxQpD+pwOfC4/s15LLm+W1OLxd3jGN/kV0xUpqyYK7tMZHndt3+ExTZXGjVKiINGpJOyqvX9ASt2FFAsd2lSKfLYX+xJh37C230Tw2E3cnv2usbsukQF4FapQrKNbtnZOegMdT04srePr8Eh4srKbI5mZKRosx9QFHRoXhwDhRVhngDbU4vWrUarRq8ftBrVVS6fDg8fhauO6y890sz87A63FRUBwpQ+/wBwQidWkVqnIkpGSkhwhuNYXTPRJZm5lHt8TF35d5TenflUMDjFdUBoRd14COL7PGT7930IR3ZcLBEyfOTBU/e+iH7pMHroX1MxFlT6kEgEJx77NixA4DnnnuOhIQEHA4Hn3zyCU8++SQul4v58+e38ggbxvTp01m6dCmzZs2iS5cuvP3224wbN461a9cydOjQBh8nLy+PefPmERkZGbLtmWeeYePGjUydOpU+ffpQWFjISy+9xIABA/jxxx+DDLHbbruN/Pz8oH2ysrLo2LEjAE6nk/vvv59//vOfREdH1zmen376iZKSEsaPH9/wyfiN0STDavv27dx2223Ex8fzpz/9ic6dOwNw8OBB/vvf/2K1WnnppZcoKirixRdfZPbs2ZjNZv74xz+26ODPZmrnNJxucQjZo+Nwe9mZZ+VgkZ3VewpJtBgZ1qVNnWFmO/OsfL2niCiDFofbrwgEnC4VwZpiHnK4U4G1GrvTg9vrp3uSmX6pMRwosis1rSBg2BTbXYqhBTRIiWx0z0R+OWal7UlPyJbsMsWDZ9CpOWF3kRwToXgqatY9qk30SfnvUwlnbDlSSnykPkSW/UChje+yiumXGviltTQzTzEu5T4BkQR7SFhiZk45KpWauEg9To+ProlRDAuT6yUbb0adBiTQqFWKVHntccq5Sk6PD6fHh14bEBWp+QzUvD9y6GJzPBE163dBwKg+dKKSSpeXtHgTI7olBM2vbFCXOzwkmA2KUdgtycL+QhvdkizEmHSKYbpoYzb9UmOwOtxhlQFrzlNtI/qekZ2Zv2of5Q4POo0am9OrfCAx6jS1wjWlkGPKoilFtgj02kD+2o48K36/FKQSmWgxcsLuwqTXACpFYt7nlxiUHkeXRHOTvVUQqD1mc3pZt7+YAyfnG+oOo5Wvv9juYsPBEgxaNZ0SohSlxe/2FbElu4xEi5EEs4G0+EiyCm3EmPSs3lPIgSI7lSfzJPVaDd2TzEIlUCBoBdR6E22u/XtI27nEzp07MRqNzJw5E41GAwSMlLS0ND766KNzwrD66aef+PDDD1mwYIGiiD1t2jR69+7Ngw8+yKZNmxp8rPvvv5/Bgwfj8/koKSkJ2va3v/2NDz74AL3+14+9N9xwAxdeeCFPP/007733HgDV1dV89913rFu3jssuu4y7776bTZs28c033/CHP/wBgGeffZbo6GjuuuuuesezatUq0tLS6NWrV4OvIRxVVVVhjcXzgSaFAv773/8mMTGRb7/9luuuu44LL7yQCy+8kEmTJvHtt9+SkJDAm2++ycSJE1mzZg2DBw9m4cKFpzxuZWUljz/+OGPGjCEuLg6VSsXbb7/d4HFZrVZmzJhBQkICkZGRjBw5kl9++aUpl9hsaoZ3nYkaVn1SYkiOiVAWxWv2FuGXAt4Lm9NbZ2hRZk45HeJM+PwS/VOj2V9oC7sQr01TQxVH90wk1qRjSkaK4lnrnmTG4fZjPimVPaJbW7omWrA7PSxce0hRZCt3uJW6RCt2FLBuf3FQzlJN5BCuLolmHhrTja6JZronmal0ean2+LFEaE/OWzSjurclvU0kvZKjQ+oeycihabIXo3Z4nYy8QM9Iiw3JM9mWW4FOo2J7bgWZOeUcOlHJ9wcCAgs786xKnk7tnCc5jGtiv2TiowwMSItlYHp8WGO5wuFme66VEV0TGHRBPMO7tg3br09KDA+P70nXk3lEXj8nc90qcLi9QZ6l5JgIzEYd20/mpTUF2ZB5e9NR3vsxh3+t3s/CtYewO710iDPRLzWGjLS4ekJkfzVk5GdvdM/EkGcwIy0Ws1FLapyJLolm5XiyWMb+QjsrdhRQYK0Ouk75WhMtRlweH3sLKvj3mv28vyUnKARwR66VYrsryOiXn7WDRXb6pgZCSK/pm4zD7SMmQodWoybGpFeemWFd2tClbRSXd29L18QozEYdxTYn5VUulm8vYMWOgmaFAi7LzD2pVigRa9JTYK1W3qGahlZt7hiazqQB7bmsawJ3DE3nyl5JpMVH8vWeIgqsTnblV1Bsd7G/0Eb3JDNWh5sCq1N5vqKMWsb0Cnj09hfWfR6BQHB6UGl1RHYfGvRPpdW19rAaxY4dO+jVq5diVAHo9XqSk5PrDVE7m1i6dCkajYYZM2YobUajkTvvvJPNmzeTm5vboOOsX7+epUuX8vzzz4fdPmTIkCCjCqBLly706tWLffv2KW1OpxNJkoiNDfy9U6lUxMTE4HAE8obz8/N5+umneeGFF+pV+AZYuXIl48ePZ+3atahUKj777LOQPh988AEqlYrNmzcD8MQTT6BSqdi7dy833XQTsbGxjfLanWs0aZW0fPly5s2bF3abSqXimmuu4ZFHHuGNN95ArVYzefJkHn744VMet6SkhKeeeooOHTrQt29f1q1b1+Ax+f1+xo8fz44dO3jggQdo06YNCxcuZMSIEWRmZtKlS5cGH6slqBlGVlP2/GCRPSSxvKWo6RWTi6R2TzIrMt1TMlLC7gNwVa9EpahqfSIK4WiM4Tg5IzXkum1Or+JlkMdTYK1md34FMSfD7romBhQoZcXDgAR7qNdApnZoZJfEQB5Iu+gIogxaerePJlKvIavQTqXTQ0V1wCNTl6Eo38/b3trC7nwbvdtbeOeOQfX2rc2YXol8vaeI/qnR7C6w4fb5cXokNhwMfIXqmxqD2aijvMwRNo9r1uhuzBrdTQmPk72TNc+VVWgnOkLH0VIHiRYjOaVVXNyxfuNXpVJh0KiwOT1EGmSDM3DMnXlWJUzMdHK+moL8bDrcPk7YnBTbnfRoF83R0oAqoxxWFg5ZOEKek9rzKxs28v5ySN/8VfvofbKmm+zJyymtUlT5wj2vCWYDlpMCJZLHT3aJgwl9dVzeo+3J8MlKQKJv6q9jkJ+1LUdK6ZZkYcWOAnLLHHSIMxFrCixqaqqA2pxeYkx6sgrt3DOyMwvXHkKn1WBzekg6KUjSnNpW8kcVt9eP0+PD7vRiNmoBiZxSBwcKbWE9SuGe28yccsb0SmRLdhkur48t2aXoNWoqqj1MyUhhe5418HVOBRe2jyar0K6okwrxCoFA0Bjcbjf79+/n1ltvDWovKChg7969DB8+vNnn8Hg8DTbQ4uLiTmlohGPbtm107doVi8US1D5w4EAgEPWVmlr/+s/n8/GXv/yFu+66K6Q+bH1IkkRRUVGQRyk2NpZOnToxb9485s2bx6ZNm9i+fTsvvvgiAA8++CBjx47lsssuq/fYhYWFbNu2jaeeeooRI0aQmprK+++/z3XXXRfU7/3336dTp04hZZamTp1Kly5dmDdvXkga0flEkwwrv9/P/v3769yelZWF3+9XfjYYDBiNpxZFaNeuHcePHycpKYmff/6Ziy++uMFjWrp0KZs2beKTTz5hypQpAFx//fV07dqVxx9/nA8++KDBx2oJZGPDYtSeDLmCy3u0ZeHaQ0pieUsbVjUXRrIC2aKN2Rw7WEJFtSfsoljeZ+7KvWSXVOLySqdciMtf/2Nq5BpZHR6lNlVjPXM1FQ1r7xfIbfGRYDYoC+T9hXaKbE5l0VzXMeWx1JT2VqtQakst2phNjEnP/7JOkGA2EB3hO+W4j5Y68Pr9HC111Nmn5r2XQ9H6pMQwa3Q3RvVIJDOnnGqPH51GzaETdkBie66VjvEmjpU56BAXEWLc1jZeZQ9E7TwfWd7fqNMo0uv1GUM1C/Xuyq8gr7yaipO1iuT5Num1RBm06LWaOo9zKmrmVB2vcGIxaKmo9tAhzqQYGHXNfX1S4RAqjOGXYHuulYiToZ41r1NWmMwtc1BW5aZ7kjnoPZT7rd5znAKrE51GxYFCmyLlHmvSKTXXZORnTQ49DOQ0Boy4mga8vI8cLhpj0pOZU073JDP7Cu2kxUcE5RQ2lZrPgFGnwepwc9OgDsxftQ9JgtV7T/DT0XJFiv5UyMW87178MwVWJ8WVbow6DUsz8/D7Jbx+CcPJ0Mea+WEiDFAgEDSGvXv34vF4SE9Pp6SkBI/Hw86dO3nooYfQaDT885//bPY5Nm7c2ODyP9nZ2UoOUmM4fvw47dq1C2mX2woKwkfa1OSVV14hJyeHb7/9tlHnfv/998nPz+epp54Kan/ttdeYMmUKH374IQCzZs3i0ksvZdOmTXz22WdBHq66WLVqFUajkVGjRqFSqbjlllt47rnnqKioUPKyiouLWb16dVhnSt++fc/4Wrw1aJJhdc0117Bw4UI6d+7MXXfdpRhNTqeT119/nVdeeYUbbrhB6b9582YlD6s+DAYDSUlJTRkSS5cuJTExkUmTJiltCQkJXH/99bz33nu4XC4MBkOTjt1YHA4Hq7fsxuHTcNTqokdKG+ItJvqkxCiLnobUlmoOskhErElHaZUbJInd+RV1ig8Eipt6aBN1ao9VzZpZslEU8EZ4T5l3FU4KuuaXf/ln2XBwe324vH4lDCnBbCCntOqkSln4sD35GDWFJ07YnXh8EoMviAd+9cTklFaR3iaSQpsTo05zSnGG6/ol8/WeIsb0qr/mVE0PRrhaVglmA31TYzhQaON/WcUkWgI5YB3iAsbVVb20YY8ZPLehX3xkj+DOPCvzV+1Dq1bVe9/leVq0MZttx8opd7jx+Pxk5pSRWxYQayiwViv5NXUZsg2la6IZu9ODQathSkaK4iWt65mRw9oSLUYu75Ee9pi18xe3HCklvU0kewsqiNBrggpMy16v4xXVOD0+lmbmBRlW8nwkx0Tw5g/ZVLm8fLOniC6JZrIK7aTGmThWVsXbm46y4WCJMidyjhcE1/6yO73kljmCDEM5XFQ2vrccKeWSC+LplhQIXazpgWuKcTI5I5UuiWZF9CP1ZLHlRIuRY2UOnB4vVS5VvSqPtT+eyL+7KqoDtdTKqtzkllfjcPvQqlXotGp6t48+LaUaBALBb4OdO3cC8Oijj/Loo48q7SNGjOCHH36gX79+9e5/9dVXc9NNN3HTTTfV2adv374NVudr6nq0uro67HpTXitXV1fXu39paSmPPfYYjz76KAkJCQ0+b1ZWFn/605+45JJLuO2224K2jRo1imPHjrFnzx6Sk5NJTU3F7/czc+ZM7rvvPtLS0nj55Zd54YUXkCSJe++9l7vvvjvoGKtWrWLkyJFERAREpqZNm8b8+fNZunQpd955JwAfffQRXq+XW265JWR8tY93vtIkw+qFF17g8OHDzJw5k/vvv1+xwo8fP47b7WbgwIG88MILQMDYioiI4G9/+1vLjToM27ZtY8CAASFu24EDB/Laa69x4MCBRrlTm8PatWt5YMrVQW0qlYo/nfTcGY1GvjEaebjGz/I/g8HA66+/Ttu2oQIKx48fZ8mSJUq/cPvK/7/oq33k2zx4VVoyLkikoNJHh7jQ+j0ygaT0CAzausPhZMJ5mGoquIULUZOpKQUtL8LCLeICBOTfDxdXYnd62XCwhDZReipdXo6WVnG8orrBi0+zUY/b61Ny0CAgV967fSCvqsBa3SDhjppep7quURYSqfb4+Cm7NCgEUzYCZHW7bbkVpLcxoVapMOo0FNmc9EuNCTFuaxsPsjepvtDFKRkpvL4hu85irTW9YBlpsbyz6SgmnRqfz4/HJylhoXLuXoxJ12wvxIS+yRTbXRTZnOSWOZRFf13XUTNXsCFGNKCE18VFGqh0BeZRNkwBHh7fk/UHTnCkxEF0RPhfgRlpsbz3Yw52J8REaE4a3moOFNnZX1iJ0+Nj33EbcZG1n9lfVRftTm+dIho1DVq/BJuPlHKgyManv+QB0Cs5OuS4jUH2NDo9DuW57hhv4n9ZRXh9Eg63l0HpcUH71Hwewn08qRnGO3flXjJzypAkCb8kBeWcCQQCQVOQFQFXrlyJXq+nqKiI+fPnk5mZWa9Sncy+fftCJMlrExsbyxVXXNHssbrdbsrKyoLaEhIS0Gg0REREhC015HQGPmbJhkldPPLII8TFxfGXv/ylweMpLCxk/PjxREdHKzletYmKimLQoF9TGBYtWkRhYSF///vf+fbbb3nggQd47733UKlU3HTTTXTr1k3x7nk8HtasWRMkHtK9e3cuvvhi3n//fcWwev/99xk8eHBYZ0p6eviPo+cbTTKs4uLi2LhxI5999hnffPMNOTk5AFx55ZVcddVVTJw4UTFwjEYjr7/+esuNuA6OHz8eNj60puu1LsPK5XIFvQQ2m61ZY5FfnppIkoTT6Qy7rTYvv/xy2PYjR45w3333NXo8u0/+1/zUYgamh8Yo5+bm8vFj03FLGuKjI3n8K/MpDbfSaj8b7F66JscxfeoE5cvO7vyKQLFXoHeyhePHjwftF85jF24RV9NwkOtXlVW5yC2vRq0CFbA73xa2AG5t5GPVDM2DX1XSZMOiIaqNsifI5fUHKffVRF5Yy4V1NxwsCfLOyfssXHsIjVpFoc1FcrQRo06jGHq1x1HbeKgrj6smGw6WYHd6OF4Rvm6THFa5ek8hvdtHM/GkN65DXMCQsjrcWIxaxfuRU1rVIPnuupAX7nLx2Q9+ymVU97Z0SzLXebzGeHhrGgaywl9ZlTsodE8ODS22B2TrXd6647zbmg1o1SpcXj9xkXrsTg+lVR68vkChaSSUsMnayGqK5pPzV9f1yYWofX6Jw8UOpYB4c3OU5Oe5e5KZrEIbo3smsnpPIVVOH37AK/lYvr2A1DiT8mzKz4NcJqJbkjnkw4U8x92TzEEfJGJMOr7bV8SDS3fSPzWarkkWEQ4oEAgaxc6dO0lLS2PcuHFK24ABA+jZsycLFy5kwYIFde7rdDrJy8uje/fu9Z4jnEFUF7KhFI5NmzaFhBTKoYPt2rUjPz8/ZJ/jx48DkJxc90eogwcP8tprr/H8888HhQw6nU48Hg9Hjx7FYrEQF/frh7GKigrGjh2L1Wplw4YN9R5fxmaz8fDDD/Pss88SGRnJkiVLmDJlChMnTgRgypQpvP/++8o1/vDDD9hstqB7AwGv1V//+lfy8vJwuVz8+OOPvPTSS2HPeSqD8nyh0YZVdXU1Dz/8MCNHjmTSpElBoXetSXNcr/Pnz+fJJ59ssbE0tyhyXfloDTHK6iPWHMmavUUhCz2bzcbOX7Y2+bjxbT9nj5TK9lwrTo8Pj0+iQ5wJq9VKSkqwYIZGo8FoNPKJwcDMk8YWWj0+tMSYIziwKEoxwu6//376pKRzsMjO7vxAsqnX56ek0kXR5uVERBj44rAF7dF0uibH1WkEtjEaubZHtNIm/6IMV/vrVKzYUUBuuaM+3QwgsLB9bf1h3F4fh4srw/bpnmTmaKmDjvEm2kVHKLkwLbUYLbI50aoDxZDr8qxtOVKKyxsI/TNoNZj0anblV6BRq2hrNpJVaGdyRqoi3FBbQr6h1PRKJlqMHK8I5EDllFZx06AOde4XTuykLmrfz9njeijntDm9QZLsXRLNZJdUMbFf8B8g2XBYt/8Eh05U4nB70apVHLdWk2Ax0D7GREH5r/l1fomwQiN9UmJ464dsduVXcKDIzohubcMaGn1SYujdPhqX149Bq8ak19ApIYo7hjbseawLeV/5I0BWYaAOmUoFSODzwwm7MygUsmbuV835CjfHcn9ZXfHyHm15cOlO7E4P/8sqpq0lotnS/AKBoHH4HBXkvXhzUFvKX95HYzq1t+dsYOfOnYrAg0yPHj246KKLWLZsWZBh5fV6efTRR3nllVeIj49nzpw5dOrUKUQlrzbhDKK6qC/HKlxIofyBuV+/fqxduxabzRYkYLFlyxZle13k5+crIXozZ84M2Z6ens5f//pXRSnQ6XQyYcIEDhw4wLfffkvPnj0bdG1PPfUU6enp3Hxz4HkpKCigf/9fc26Tk5PZvn278vPKlSvp2bNnyHzceOON/O1vf2PJkiVUV1ej0+mCUoF+izTasIqIiODVV19t8M07UzTH9Tp79uygUEWbzXZKxZb6aK4BVJdh1VyDzeFT0SFMPktzx7tmfxnbXVq8fgm1CiU8KtxxfT4fVVVVVFVVhWzLqfWzHKO74WAJJ+wuoiNO1trSuin59jUAcoGf3mnceBcuXMgf//jHsF6qq6++murq6hBvnfzv51w7hTYv1X41S36OJHdTO4Z0S8ZoNNKnTx+6d++uhESa9Fo06kBNoOLiYrRarWL0qdVqok16ruqVxPbccjYfKaVjfCAsrrny/PL+HeNNlDs8ISFfMnKuz4odBYqnMae0Gr8k4fdLGLS/emPkRXSx3UWBtbrRhYIzc8rJLa/mh0MlDOkUT7toIy6vn97to1ts8W0xapVQOotRy+SM1JCiwPK1yH1szuCwVdlwyCl14PVLqFDh8AQK+Hr9EhXVHuKjDBRXukCC5Ghj2JzEnXlW5UNDTqmj3tzDCX2Tg7yUK3YUKN7U5sxNZk45Lq+fIltARn9KRgrlDjc/Z5dR7fHj8vhxeX1K/5q5X3V5y+R3psLh5sGlO+kQF6EoHnaIi2B7rpt+qdHNUjUUCAS/PQoLCzlx4kTYUL6rrrqKuXPnsm/fPnr06AHAQw89xL59+8jOzsZutzNkyJAQFbpwtFSOVX0hhVOmTOHZZ5/ltddeU+pYuVwuFi1axKBBg5T1pcPh4NixY7Rp04Y2bQJ1KXv37h1WwvyRRx7Bbrfzwgsv0KlTJyCwnrrhhhvYvHkzn3/+eYOuH+DAgQO89NJLrF+/HpUqUMMzMTGRrKwspc++ffuCrn/VqlVcffXVIcdq06YNY8eO5b333sPpdDJmzBjlWn6rNCkUMCMjg927d5+64xlEVhSsTUNcrwaDoUWFLaZNm8aUKVNwuVxK+J/T6WRXTjFr9+ZTWlFFRWUVhWV2zDoJo9rPkI4W4iPUOJ3OOscSGxvLlVdeqRyv9vFrtoXjhMOPvaAiRPWvuYZVhRt8fgm/FPiC73D7WuS4soFZZHNidbjJK3MQG6nH43GfYs/6kec3XDjd+vXrsdsbJileAOwBXj3589y5c5kzZ47i3YmO0NLWbOSOoelceulADh48qOyr0+nQ6g1Iah1odag0ejJ1ev73tAmfSotGp0ej09OtfTy3XD+JadOmhR3DsmXLKCsrCzL+1h0qx+XXUGD3cmG7WKpLPOTkBBuIer0elUqlzIFsDFa5PBy3OmkXY+Syrm2VvJma4Yt2p7fR3oiMtFheXncYrVrF2qwT6HUakizGFs3LCSjy+fD6/EoOX817XNNgvf3SdOau3MuBokolpFMWNAGY2C+Z/2WdOCnOEDi2Sa9VJNQHXxBPucON2+sPW9srM6ecrolmjpXJcvJ1Gxo178HCtYfILqnC65eUbU1FNoZ351dgNupYs7eI+67sxoodBXz8cy4en0RZlSfIsDxViKm8/e7FP6NRqzhWVk1afCRWhwe1SsXvBnYIKth8PjB37lweeeQRevXqFfJ3b9OmTTz44IP88ssvWCwWrr/+eubNm0dUVFRQP5fLxWOPPcbixYspLy+nT58+/POf/2T06NFn8lIEgrMWOb8qXMrGlVdeydy5c1m5ciU9evSgoKCA119/nUOHDhETE0NMTAxDhgxpUNHalsqxqo9BgwYxdepUZs+ezYkTJ+jcuTPvvPMOR48e5c0331T6/fTTT4wcOZLHH3+cJ554AggYKnI4Xk1kD1XNbffddx9ffPEFEyZMoKysTCkILBNOQALg3nvv5YYbbgjyDk6ZMoVrr72WOXPmALBixQq+/PJLIOC527dvX51pKvKaF+Af//hH3RPzG6FJhtXzzz/PuHHj6N27N9OnT0erbVrR0JakX79+bNiwAb/fHyRgsWXLFkwmE127dj1jY9FqtSH1CwAuvBBuujoQivTejzmYE734JeiaGkOZCm6sR3Ia4JJLLuGbb7455fklScLtdvPz4UJ+PnKC7glG/rN6L/neCKKq3CFf2Dt16sTrr7/O89/sprDMDj4P0XoYmh6NWSeFNeBqGnITMi5g0W4XZVUBg8fnlyiyOdlxtHketny7l0UbsxmUHsfh4iqMOjU2p5cLLDp2NOO49RnRzTEGZUNQXtACSj5S7eN6PB48ntD8nNp+vGPboW+PumuwPfPMM2zdeuowzjlh2m6//XZmPfWckn+WHBNBXKSBGJOBXctfYcmH2ayxRNI21ozRaCTH6qHUKVHhkkiOt/DL54l0TIwNCb1MSUlh8ODBQefqkxLDTQNTWbxhP5LbjVfS4/XpG2Q4NNSDl5EWq9RsC5eTVVtZsdjuIq/codSakgUfZMMg2qTH6vAQY9JRYK0mM6cMu9MTJNdvdXjCeqxkI+rPo+p/p2uPL8akx+W1K17fpiLP2YS+yXRPMvP6hmw6xEUonrBOCZEcLXGQaDE0KWSvZu5bl0RzkNz8+eSpysvLY968eURGRoZs2759O5dffjk9evTgueeeIy8vj2effZaDBw/y1VdfBfWdPn06S5cuZdasWXTp0oW3336bcePGsXbt2vO6UKZA0FBkRcBwHqtLLrkEs9nMqlWruP/++/nf//7HxRdfHCTyVVxcfErhijPJu+++y6OPPhr0MeXLL788Za2oxiCH6q1YsYIVK1aEbA9nWK1atYr169dz4MCBoParr76auXPn8uKLLyJJEvPnz2fs2LHKPtHR0Vx66aVhxzFhwgRiY2Px+/1cc801zbyqc58mWUTTp09HrVbzhz/8gZkzZ9K+ffuQUDuVSqV8gWhpjh8/TkVFBZ06dUKnCyyKpkyZwtKlS/n0008Vy7mkpIRPPvmECRMmnDGp9VMhfxVPiY3g0IlKqp2BhV7ntpEsXHuo3no+DUWlUmEwGDhQ7sdviObnEi/qmGT0NhexkaGFWJOSkrjrrrvYHbWNdftPUO3x0S81hhG92zX4y/Mh17aTCm4SMSYdafGRlGlNlJeX1+thq2+bVRtHaaEdq8PN5d0T2HSkjPhIHT3i1OzsPRBbpQOV30OkRiJC4w/Z3+sNLxtfV6ilz+cLa+w0FPm4teXjoWUMtnA057harfZk7bEyyqo8gYLCZVVE6rUUZ++lZP/Pde6bB/xUx7arr7467C/51DgTZWte5uiPXwNwQKUi4vH6RVKMRiMnHH4ktZYOF3Th87deCHvOzZs3s3fvXi42GjHGGzEWlvG//x0gt8LNkXI3fdMSSDAYKat0kt62LXa7nbgINe1jAjLyEKq8aDFqFal3CChLdk2MUu6vLJUezohriLhIbeTzXtwxttkGSk0jMiAwocF+0gA06QOe1K6JlkaLZNQ0cmvL1NfcXrPtXOb+++9n8ODB+Hw+SkpKgrbNmTOH2NhY1q1bp3xI69ixI7///e9ZvXo1V155JRD4Kv3hhx+yYMECJSxo2rRp9O7dmwcffJBNmzad2YsSCM5CHnjgAR544IGw23Q6XZCoWElJSVC4WWFhIZs2beKVV1457eNsKEajkQULFtQruDFixIgGF8pdt25dg9pOxbhx4+qMyvn73//O3//+95D2lStXcuWVV9bpRFGr1Wi1WiZMmBB2vfLEE08oHrnfAk1WBYyPj6dbt24tPR5eeuklrFarooayYsUK8vICeRN/+ctfiI6OZvbs2bzzzjtBiYVTpkxh8ODB3H777ezdu5c2bdqwcOFCfD5fiwpTNBf5q/iIbm3JKXVQ7fGDx0+RzUV6m6gWTfiWF4o5pVXoNCo6JUQqX9vDccfQdIpsTsqq3Djcvkbl0iSYDXRLMisqaVuPluH0+Lj4gjb0SWlaLYiahX235VYE1foxmRex/sAJXF6Jv4zqHCJwsGhjNmV2J5E6iev7JwUZcPWFhb788sthDb2aP+84WkxpRSWSz0OyWYPa78XpdAbVm6ipsHbPyM5npWElf2yoqPYiSRJ7Cipoazag06gxqv2n2Ltu6hrvmr1FOJ01vJiNUMoEcFaU1LltyZIlShX5xqBSq+nUpRsPj98bYgzZnF7yfl7D+s1fER0ViVavZytaPn8pgraxUeTbvJhMEZRsNHNsfXKIYRgVFaUsrmvjcrnweDwYjUblj1XN8y/LzGXh2kNB9d4aQ00jcUeulYpqDxeeLKi9YkcBRp0Gs1HbaLGU8PXUGr79XGL9+vUsXbqUbdu2hcge22w21qxZw7333hsUnTBt2jTuvfdePv74Y+Xey9LHM2bMUPoZjUbuvPNO5syZQ25ubrNyegWC3xrdunXj6aefJjc3F6PRyG233YZKpWpQvVRB4xkxYgTDhg2rc/vy5cspLi6uM2Xht0aTDKumWMkN5dlnn1Xk2wE+/fRTPv30UyDg1qyrloFGo2HVqlU88MAD/Oc//6G6upqLL76Yt99++7QYgE1FXvBYjFo8Pj8+v4RBp8Zs1GI2als0jEZeqN321hZySqvp3d5yyvyJ3u2jlcK8DanrJCPnyny5s4DSSjdev4TX5yczp/Ff7muOZ3TPRF7fkE10hDZEjj23zKEomNWm5sIyLq5h59doNKcsYFez+Gt9suM1FdYyc8rJzs4OMdSW/XSErYdP4PO40Epe2kZq0OElOUrDh5sP43a7seilen+hDRgwgDZt2tTpAayurq7zi5jR+GuO0+78CpKiI6io9jCmVyK7vU3PYwtnWO3Ms2LUafC4mm4IqrV1h8c11cCU/H6MuvByuhlpsbxrP07B7h8pCNvjV5aFaWvTpg3FxcVh+7/55pv86U9/An5VyqxplJVUS3hVWpbodDzTPp420VFBfd566y0l6bgmR44cYf369RRV+cit8FCdGo89r5LKQgcbcnV01JShlbTEoCb3eAUvHC/lqj6pXD+w4ymu8Nc5CSduIXuqasran8v4fD7+8pe/cNddd4XN+di1axder5eLLrooqF2v19OvXz+2bdumtG3bto2uXbuGhIfL+Q3bt28XhpVA0AjGjBnD2LFj6dWrFykpKYwaNYri4uKQOqaCluHBBx8M275lyxZ27tzJP/7xD/r378/w4aHlfH6LtH5yVC2OHj16yj5vv/02b7/9dkh7bGwsb7zxBm+88UbLD6yFkI2duSv3olIFwolUKhXtoo0kx0S02FfemiE7bq8fnUZFTqmDZZm52JzeoJpONc85oW8yb/2QzeFiFzmlVVzeo2GhgHLtJotRR2GFCxVwwu4Km9jfGGxOL/1SY7A63EFhknUpmNUWKGhpZI+jw+2tN+Sp9vji40P7aNtegOmkkRap15BVaFc8FP0zc5Uclsvq8Vh8+OGH9Y5XkiS8Xm9YL1xsbCzt2/8qnFAzj2n/LTMoyC9Ai4feSZEcK7ayaf9xHA4nTpcTg9qPRSfRIVoXcuz27duHnbe0+EhijCpK6x1x3bSJiapz2+nwCPZJieHiVDPrWvi4EDze+pQyAbbWksvUarUsWrQobN8ff/yR22+/vc7z/hImkvIt4OaTipU5OTlB9VFktm/fzsMPP6wYdxtqhWvuLXLgVWmxRJoY2TuVPpf+vs4xnAu88sor5OTk8O2334bdLosiyXUSa9KuXTs2bNgQ1LeufkBQrZqatHR9RYHgfEGtVte5DhScOV5++WXee+89+vXrJ+5FDZq86rXZbCxcuJC1a9dy4sQJXn31VQYOHEhZWRlvv/0211xzjXDLnoK2ZiPH/dVYjDrsLZz0XTMkZ0pGipK8vmZvEd2SLGw5Ukq3JEtYj1RWoR2NWkWRzdmofIlfRRskjhRXoVOrgorjNgV5TuoqVFrhcAeFTK3YUcCBInudxXubi1yweHd+BTmlDiXUry7jqiEKaxAIXeyWZFG8b5MzUhVRgMZKm9dEpVKh0+nQ6XSYzaH1luoa6x/vuDVEMGLuyr1k5pTh8UkMviC+UYWCZU/H2+++T1q05pT5deHa6hOgSU9PZ+DAgbhcLorK7YFQO5cTn9eN3+PBVY+n7HSFWtZ33OaUTjgd4/V6vVRWVtaZi3r8+HFWrVrVoGOtiIri978/dw2r0tJSHnvsMR599NGg8N6ayHUR66qdWLNuYlNrLLZ0fUWBQCBoSYRxG54mGVZ5eXkMHz6c3NxcunTpQlZWFpWVgSKocXFxvPrqq+Tk5PDCC+ETzX/r7MyzAtAhzoTH50enUbdoPR8IDjm0Ob2M6ZXIluwy9NpAUdZqj4/vsorolBAVtHBfsaMASfJT5ZLo0jaqUfkS8uI8OSaCl9cdpsLhZkt2abMMg9oLftmgCiTka/lmTxHRETqWZuZhc3optruA0BCplkL2zOWUOth6tIy2ZgMrdhTUeX2NUbST+9W+xtbIVwlnFEbqNeSVO0lvY2q0d7UpYg6N4cknn1QWoeHmXFbKDGe41VdQ8rrrrkNnSSC7yIra76Gq2kmMAaK0EntyS3A4qlH5vSSY1CGGYVpaWp3HbVYpAq2+znequSUO6jKsGnPc+gy/c4FHHnmEuLi4kLyqmshiTXXVTqwp5tTUGostXV9RIBAIBKefJhlWDzzwAHa7ne3bt9O2bdsgyUsI6OzL+veCADUXe3I4mdPjoFdyNFaHm+5JZhZtzG5yUdjayAtZWRJ6f6Edl9fPsTIHOo2auEg9DrePcoc7ZOGeFB2o1ZNgNuBwe7m8R9uQ49dnMGSkxWI2arE5Peg16hY1DGRPHECMSceYXolkFdox6jTsL7RTZHPS+2SS/ulCzp+yGHWUVLpPGnOhyOIbMabAwv1U3isgyKAqtrtwehxhVedagy3ZZahVUGRzndU5NOGMOFkp02AwKHmaO/OsZBbXXQwXYOTIkRzVdyTF4WF/oY1LkyyKHHtzCjnfd9993H777WFFUp77ahe2ymr8XjfdEoxoJS/5pTYqKh3YKquIs0TW+U7Fx8dz0UUX4XQ6sVU6qHRU46h24nG7kLxu/L7wSpkQCDGsS/WpMYaVRqdv0d9lZ5KDBw/y2muv8fzzzweF6DmdTjweD0ePHsVisShhfHXVTqwpkNOuXTvy8/PD9oO6ayy2dH1FgUAgEJx+mmRYrV69mnvvvZeePXtSWhqaMXHBBReQm5vb7MGdT9QMzZONq9E9A0aB0+Nj4brDuLx+duRaef7G/i123prnWpqZh8cn4XB7cHl9dE000zXRHLSwlFXDfjxSyrEyR52Lo9rqX7UXmRe2j8ZW7cHtC19AtbnXIxt7K3YUkBpnonuSmTV7i0iLj2zRXLVwyPlT81ftw+X1K3LdtVmxo4ATdhcV1R5uGtThlMetbTTmlEK1x0dWYcMKFtekOYv+uki0GDlW5sDcgvezNWmogl3Nd6imDHpzvHAWiyVsrTsAe3wP1uwtwqjTkBYfyf5CG4keP/YTdmKAlDhTncbgDTfcwA033BDUFiiEbKdropnZY7vjcrl4c91+fjxYyLHiCronGCizVXFRavjxAPTt25dnnnmmQaUSbJLxnFUGzM/Px+/3M3PmTGbOnBmyPT09nb/+9a88+eSTaLVafv75Z66//nplu9vtZvv27UFt/fr1Y+3atdhstqB7vmXLFmW7QCAQCM4PmrRCqq6urjP2HKhTI/+3TM1Qr9q5NQeKKimpdKFWBfKaWpLai795q/Zhd3oAHV0TzUzomxyUR9UnJYYVOwood3ignvoKtdXBwi1S7S4vfr/EFzsKmpVnVdf1yHMHEskxEdwzsjMrdhSwYkc+72w6ysR+ycwafXoUIfukxDAlI4U1e4vonlR37lKVy0NZlcTBIvspF5nynHaIiyCr0M7h4kp0mqapHJ0O2es7hqbj9PjwS7RYzbXWpC6Fu9qc7jDG2nRJNGNzeqlwuMkqtOGXJI6WVqFSBfIyGxs2LL/jGWmxqNVqIiIiuOzCjuwu8dLOEM2mggramqM5qq77Oe7Zsyc9e/Zs0PlqGvXnGr179+azzz4LaX/kkUew2+288MILdOrUiejoaK644gree+89Hn30USV/cfHixVRWVjJ16lRl3ylTpvDss8/y2muvKXWsXC4XixYtYtCgQSK8TyAQCM4jmrRq69mzJ+vXr69z+/Lly+nfv+W8LucDfVJiuP3S9LBhc10To+iUEEl0hI5B6aGKXC1FVqEdr19CQkW120ex3aXUW1q49pCS+wXQ1qxXPEGLNmYHbQt3PRlpscSYdMpiSvbi+PwSW7PLWJbZ8h5Mee7sTg/vbDrKki055JY5OFBUSWGFk+XbTyWS3TyyCu31epQm9E1GpVITadCyZm/RKY8nz2lWoZ3vsk7g9vppazY0Kayx9v1oCWRPnVqFIiN/LlPXO9nayEZxVqGdGJOerUfLcXl8xJoCxb2L7S5mfbiNuSv3hryX4eiTEqMYkXJ/+V5WVHuINuqodPlaLOT0bJ3XhtCmTRsmTpwY8q9NmzaYzWYmTpyoyK/PnTuXsrIyhg8fziuvvMIjjzzCn//8Z6688krGjBmjHHPQoEFMnTqV2bNn8+CDD/Laa68xatQojh49yv/93/+11qUKBL9JFi9eTPfu3dHpdMTExACBOk0jRow45b7r1q1DpVKd1pJDZ4Lz5ToawhNPPBG2NMnppEmG1axZs/jwww955plnqKioAMDv93Po0CFuvfVWNm/ezL333tuiAz2f2JlnVYyVPikxTOibTFuzkcEXxBNtqjuRviWIidChVUGixUCC2UBGWixWhztooTyhbzIZaXH0bh9NVqFd8XzUR+3F1IS+yQxKj8OgVRMbqW+QYdFY+qTE8PD4npRVeSivcrNy13FO2J0BR5sK4iJ1LX5OmZ15Vn48Usrh4qo6c6z6pMTw+2HppMZGNHrRGh2hRa9VkxpnatL4TufiNjXO1OI11wS/IhvFo3smYnW4FdXQAmu1EqK7K7+CA0X2Ot/Lmr9jINiDWZNEiwGdVs1NA1NbzKv8W2HAgAF8++23REREcO+99/Laa69x5513snTp0pC+7777LrNmzWLx4sXMnDkTj8fDl19+yWWXXdYKIxcIfptkZWUxffp0OnXqxOuvv85rr73W2kM65ygoKOCJJ55g+/btrT2Us5YmhQLecsst5OTk8Mgjj/Dwww8DgYJtkiShVquZN28eEydObMlxnlfUDtPKzCnHL8H2XCsXdzx9i1W5qG5SdASFNicHiuys2FEQNnfkrR+y2ZVfQUpsBCO6tW3UInrZyRpM/VNjAMgpddQbLtdc0uJNFFY48fj9lFa6uSAhkrhIA10T66571FwC4ZJukKgzxwqaJpvePcnM7vwKKqpdjZK7PxPIwisxJt1ZM6amcjry0FoCOfRwZ55VEWbZnmvF7vRwpLgKS4Q2bH5kTWr/jqkd9igLqxRWOPH4/GzJLmuWeqfM2TqnzaWuL7tDhw5l48aNp9zfaDSyYMECFixY0MIjEwh+RaUzEjf67pA2QYB169bh9/t54YUXgsoBrV69uhVHdea57LLLqK6urlcRty4KCgp48skn6dixo8gPrYMmZ6E//PDD3HrrrSxbtoxDhw7h9/vp1KkTkyZN4oILLmjJMZ531F7kWIxa9hfZMWrVTRIqaCg1RRd8fonDxVXYnR5yyxwh+TKHiyspq3Jj0msaXWh3zd4iyh0evt5TRKLFSFq86bR54nbmWYk16QNGPVBY4aRjm0i6JkadVmXAYrsLSYK4SP0pzyOHW9ZX86omNqcXvVaDrdpDid2Fx+dvkUVvS9DQvKSziboW+6cjD60lycwpx+70UmRzkhZv4kBRoL5cu+gIuiaaSY4JL9MNofepdp5YZk45MSY9Lq8dlUqFy+tvkXk42+dUIDifUesMmAdc3drDOGs5ceIEgBICKNMUA+NcRq1Wn3VlMaqqqoiMjGztYbQITcuMP0mHDh249957+e9//8vLL7/M/fffL4yqBlA758Hm9BIfqcfrr1ssoiXPnWgxIkkSBq0ag1YTNl+mU0IUWrWKkkpXo/OjRvdMJNako39qNGVVLsqq3C2qDFiTFTsK2JVfgUatwieBXht4pE+3MmCC2UDntlEMviD+lOexGLVsz7Xil6QG5SVlpMUSa9Kh1ahQq1WUV7lZseP05os1lHMxf2bFjgLW7S8OmcPTkYfWkshhui6vH4CuiWYi9FpFlbG+EN1T3Se5JEJafKC0Qod6lAYbO+azeU4FAsHZQX5+PnfeeSfJyckYDAbS09P54x//iNvtVvocOXKEqVOnEhcXh8lkYvDgwaxcuTLoOHK+0Mcff8zcuXNJSUnBaDRy+eWXc+jQIaVfx44defzxxwFISEhApVLxxBNPAOFzrPLy8pg4cSKRkZG0bduWe++9t87C7lu2bGHMmDFER0djMpkYPnx4iCdbzvU5dOgQ06dPJyYmhujoaG6//XYcDkfIMd977z0GDhyIyWQiNjaWyy67LMSz9tVXXzFs2DAiIyMxm82MHz+ePXv21D/xhM+xGjFiBL1792bv3r2MHDkSk8lE+/btg/JA161bx8UXXwzA7bffjkqlQqVSBRUJbsxc7N27l5tuuonY2FiGDh3Ks88+i0qlIicnJ2TMs2fPRq/XU14e+Ju3YcMGpk6dSocOHTAYDKSmpnLvvffWWXC9JiUlJWRlZYWd95ag2avdyspKysvLkcIoyHXocGqJ6d8qteXXC6yBh+F0ellkAkaBmVhTIAcpp7QqJATxjqEBEQWNWsWavUWNyr+YnBHI11i0MZuCChcgYXPWXT+nqezMs7I7vwKtWkW0SUeqUYdeq643RKqlqKm0dqoxLs3MQ5Ik7DXCLeujT0oMfVNjMOo0rDtwArdP4scjzSu03JKcm+Feob+fzrTaX1NIjTNh1GmAQKhwlEFLhE6jlBeoL3evvvskhyAfKKokLlJP39SWmYtzYU4FAkHrUlBQwMCBA7FarcyYMYPu3buTn5/P0qVLcTgc6PV6ioqKGDJkCA6Hg5kzZxIfH88777zDNddcw9KlS7nuuuuCjvn000+jVqu5//77qaio4P/+7/+4+eablbIGzz//PO+++y6fffYZL7/8MlFRUfTp0yfs+Kqrq7n88ss5duwYM2fOJDk5mcWLF/Pdd9+F9P3uu+8YO3YsGRkZPP7446jVahYtWsSoUaPYsGEDAwcODOp//fXXk56ezvz58/nll1944403aNu2Lc8884zS58knn+SJJ55gyJAhPPXUU+j1erZs2cJ3333HlVdeCQREOG677TauuuoqnnnmGRwOBy+//DJDhw5l27ZtdOzYsdH3pby8nDFjxjBp0iSuv/56li5dykMPPcSFF17I2LFj6dGjB0899RSPPfYYM2bMYNiwYQAMGTKkSXMxdepUunTpwrx585AkiauvvpoHH3yQjz/+mAceeCCo78cff8yVV15JbGxgDfXJJ5/gcDj44x//SHx8PD/99BMvvvgieXl5fPLJJ/Ve50svvcSTTz7J2rVrGyRa0liaZFg5nU6efPJJ3nzzzbB1rGR8Pl+TB3a+YzFq2XKklNE9E8/4YkQ2CnbkWtmVX0F0hC7I8JEXZGN6JbIlu4xqj4+5K/cyoW9yo8ZZ02A8HYZOZk45afEBNcXuSWayCu2M7pl4RpLwa+bBzF25FyDs/AQK/joprnSRFG1s8PzJ8+X0+NiVX4GuhQstN4dzLdyroUbw2UZmTjk5pQ6OlTlItBgwaNVUubyKURVj0tf7weJU9+l0v58CgUAQjtmzZ1NYWMiWLVu46KKLlPannnpK+Uj/9NNPU1RUxIYNGxg6dCgAv//97+nTpw9/+9vfuPbaa1Grfw26cjqdbN++XQnri42N5a9//Su7d++md+/eTJw4ke3bt/PZZ58xZcoU2rRpU+f4XnvtNQ4cOMDHH3+slE74/e9/T9++fYP6SZLE3XffzciRI/nqq68U9bk//OEP9OrVi0ceeSTEy9S/f3/efPNN5efS0lLefPNNxbA6dOgQTz31FNdddx1Lly4NukZ5biorK5k5cyZ33XVXkADHbbfdRrdu3Zg3b16ThDkKCgp49913ufXWWwG48847SUtL480332Ts2LEkJiYyduxYHnvsMS655BJuueWWZs1F3759+eCDD4LaBg8ezEcffRRkWG3dupUjR44oHkaAZ555hoiIX8PhZ8yYQefOnZkzZw7Hjh1rVcdOkwyre+65h3feeYeJEycybNgwxYIUNByb00u3JMtp8eScCnmRtXpPIVq1CoNWHbSwkhdkMSY9V/ZKYt3+YkWBrDELabnv6ZLllscsh1X6JViwej9vbzrK9CEdz4iBtWJHAat2HVd+iYST039t/WE0ahVlVe4wRwhPTcPtrR+yKbI5T1s4ZWPJSItlxY4CHG4vyzJzFeGTs9XIOle9KBlpsby96Sguj49iu5MYk55+qTFEm/TEmPRYHe56DaJT5cPVfMbONpEUgUBwfuL3+1m+fDkTJkwIMqpk5L+lq1atYuDAgYpRBRAVFcWMGTOYPXs2e/fupXfv3sq222+/PShXSvamHDlyJKhfQ1i1ahXt2rVjypQpSpvJZGLGjBk8+OCDStv27ds5ePAgjzzySIiT4fLLL2fx4sX4/f4g4+juu4PFRYYNG8Znn32mFBBfvnw5fr+fxx57LGi/mnOzZs0arFYrv/vd7ygpKVG2azQaBg0axNq1axt1vTJRUVFBxpJer2fgwIEcOXLklPu2xFxAoMj9rFmzOHz4MJ06dQLgo48+wmAwcO211yr9ahpVVVVVVFdXM2TIECRJYtu2bfUaVk888USQkdbSNGml9umnn3LXXXfx6quvtvR4fjO0tghATW/PPSMD6jiLNmaTkRYbMrbmfNU+nd6N2gvmj7bmUuX04vL4Gx2+2Bw8Pj8urz+s7HqflBgGpcez9WgZQKPD+eSwQKvD0ypGeDjkMLL9hXZe35BNv5Pqj2JR3rL0SYmhY7yJ3fk2NOpf63BYjFq2Hi2jxO5kV34FF3eM446hoflUDTUozzUPpEAgOHcpLi7GZrOd0tjJyclh0KBBIe09evRQttc8Ru2FtPzBX87JaQw5OTl07tw5pP5Rt27dgn4+ePAgEPAU1UVFRUWQ86G+cVosFg4fPoxara63ILt83lGjRoXdbrFY6ty3PlJSUkKuOTY2lp07d55y36bMRXp6qDDa1KlT+dvf/sZHH33EnDlzkCSJTz75hLFjxwZd17Fjx3jsscf44osvQu6xXAaqtWiSYaVSqRgwYEBLj+U3RWt/Ra+pSBgIV6vGpNcGGVQHi+zYnN5GhwDWPs/pNiDlL+79U6MptjsB1WmVd6/JhL7J/HiklHKHp84+dwxNx+nxKSIhjZ3L1jbCw2ExavnxSCmSJJFTWsVNg0Q+ZUsiP9OxJj292wdEYHQaNUU2J1mFdopsTqpcPuyuQKhoc4yis/H5EggEjcfnqKDgjT8GtSXf9TIaUzQAHf++MtxuLcLRp8eftmM3BI1GE7Y9XP5/S+H3B4SFFixYUKf0eFRUcNmXlhinfN7FixeTlJQUsl2rbVp0S3PG1pS5qOl1kklOTmbYsGF8/PHHzJkzhx9//JFjx44F5aD5fD5Gjx5NWVkZDz30EN27dycyMpL8/HymT5+ujKW1aNLsX3vttXz77bf84Q9/aOnx/CY4G5L/+6TEcLAo4HHoEBdBWnykouYlf8FevacQl9fPp7/kMfiC+CYZWGfCgJTHW+7w0Lt9DCCd9kLLMn1SYuiUEMXWo2UcLq4M65GSZe7Pp8WrzeklLlJPRbWH3u2jz1lPx9nwLoZDfqYTzIFC3geKJHJKHXRNjOJAkR2XJ5C/qlJBSmxEs56r1v7IIxAIWg5/ta21h1AvCQkJWCwWdu/eXW+/tLQ09u/fH9KelZWlbD9dpKWlsXv3biRJCvLg1B6PHKpmsVi44oorWuTcnTp1wu/3s3fv3joNFPm8bdu2bbHzNpTaHi2ZlpyLG264gXvuuYf9+/fz0UcfYTKZmDBhgrJ9165dHDhwgHfeeYdp06Yp7WvWrGnWeVuKJsmtP/rooxw5coQZM2aQmZlJcXExZWVlIf8E4akZetMa7MyzsmhjNksz83B7/WzPraB7klmRZ5YlkxMtRvLKHRw8Ucn6A8WtNt5TIY93dM9EuiZGnRFVwJokmA0YdRpFYCIcTZUplwu57i+0n1XzL8t1+/wSlU4PizZmszPP2trDajSt/S7WhfxMT+ibfLJelYq4SB1qlQq3109qXCSRBg0XpcUSoQv/lbE1kH+3nIvPgkAgOP2o1WomTpzIihUr+Pnnn0O2y96RcePG8dNPP7F582ZlW1VVFa+99hodO3asN1SuuYwbN46CggKWLl2qtDkcjhBBiIyMDDp16sSzzz5LZWVlyHGKi4sbfe6JEyeiVqt56qmnQjwv8txcddVVWCwW5s2bh8cTGi3TlPM2FLnWlNVqDWpvybmYPHkyGo2GJUuW8Mknn3D11VcH1biSPWs1PWmSJPHCCy806Phnpdx6ly5dANi2bVuQuklthCpgeFo79EbOj6l0efFLEv1So4Pyd2omtW/PteLzS7i8/rPW29KaX9zlBeSF7aNJMBtafI7kQq6nEio40/RJicHt9eP0+PhmTxES4cU7znZa+12si9rPdM1yDAeL7KzZW8Q1fduRVWjHL8HCtYcaVHz6dCPytQQCwamYN28eq1evZvjw4cyYMYMePXpw/PhxPvnkE3744QdiYmL4+9//zpIlSxg7diwzZ84kLi6Od955h+zsbJYtWxYi7NCS/P73v+ell15i2rRpZGZm0q5dOxYvXozJZArqp1areeONNxg7diy9evXi9ttvp3379uTn57N27VosFgsrVqxo1Lk7d+7Mww8/zD/+8Q+GDRvGpEmTMBgMbN26leTkZObPn4/FYuHll1/m1ltvZcCAAdx4440kJCRw7NgxVq5cyaWXXspLL73UklOi0KlTJ2JiYnjllVcwm81ERkYyaNAg0tPTW2wu2rZty8iRI3nuueew2+3ccMMNQdu7d+9Op06duP/++8nPz8disbBs2bIG59OdlXLrjz32WJ3uQMGpae3Qm4y0WLYcKaVXcjRmo5bkmLpDidLiTRwoshMXqVMKrIoF06+s2FHAgSI7XRPNPDw+9Atac0PNaiofnm3znmgxcqCoErNRe9YZfg2ltd/FhlB7jH1SYhRhFtmj2dT8vZbmbDVUBQLB2UP79u3ZsmULjz76KO+//z42m4327dszduxYxXhJTExk06ZNPPTQQ7z44os4nU769OnDihUrGD/+9OZzmUwm/ve///GXv/yFF198EZPJxM0338zYsWMZM2ZMUN8RI0awefNm/vGPf/DSSy9RWVlJUlISgwYNanK6zFNPPUV6ejovvvgiDz/8MCaTiT59+igy6AA33XQTycnJPP300yxYsACXy0X79u0ZNmwYt99+e7Ouvz50Oh3vvPMOs2fP5u6778br9bJo0SLS09NbdC5uuOEGvv32W8xmM+PGjQsZw4oVK5g5cybz58/HaDRy3XXX8ec//zlEEr81UEmnM7PvHMVmsxEdHU1FRUWT1VXOdhqy4J+7ci/fZZ3A7vTg8weMrAl9k7n90lAll98qsz7cxq78Ci5sH83zN/YP2b5oYzZWhweH+1ePYHPEQM4makrBT8lIOWMqjI3lbM2jainOt+v7Lfz+bQpiXs5/misu4XNUkPfizUFtKX95XxGvOJ20tniFQHC6aejv4BYpjFNRUUFUVFSdiiKCs4+a4X6yzHq4RVl0hA6H20usSRdS7+q3zs48K0U2J9EROoCw8yh/wXe4vRwoqgSks8Kz0BL0SYkhwWyg3OEmq9De2sOpk3M5PC2c0bQsM5c1e4vonmSmyu2j2O46LWGoAoFAIBAIGkeTg1R//vlnxowZg8lkIj4+nu+//x4IJIVde+21rFu3rqXGKDiN1Je8P6FvMhP6JnPDRamkt4lkSkbKObcwPZ3ItcDanlRuCzePsmhF9yQzbq+PWJP+vFoAF9td5JVXh63hdbYgC0Gci/Me7v1cs7eIcoeHr/cUcaCokl35FUoBb4FAIBAIBK1HkwyrTZs2MXToUA4ePMgtt9wSpFzSpk0bKioqRPHgc4T6Fp2yURBt0hNj0rNmb5FQ+6pBRlos3ZLMdE8y8+ORUr7LKsJiDO8Etjm9DEyPp2/q2Z/T0xgSzAZSYk0kmA2tPZQ6aaoi49lAuPdzdM9EYk06+qdG4/b6iI7Q4vb6qXC4hSKfQCAQCAStSJMMqzlz5tCjRw/27t3LvHnzQraPHDmSLVu2NHtwgtPPqRadO/OsFFirySmtUhLkBQHkucsqtGOr9lJW5a7T+LQYtewvtNVpeJ2rdE8yE6FTn7GCzL81wr2fkzNSeeXWi4gy6iircnO0xIHZqCWr0H5WSscLBAKBQPBboUmG1datW7n99tsxGAxh1QHbt29PYWFhswcnaH0yc8ox6bUkWozklFaxI9cqvojXYnTPRJJjjMRF6us0Pm1OL92SLEGy9g3lbK4NZHN6FW/msszcs3ac5yPFdhe55dW4vD6lFp3D7aXAWi3ugUAgEAgErUCTDCudThdSuKwm+fn5REVFNXlQgrMHORQpwWxAr9VQ7nCLL+K16JJo5speSUwf0pFuSeGLEzcnz+dsLWILgeuyOtz4JXh9Q/ZZV8j4fCbBbCA1NgKDVkN6G5MiIGLSa8U9EAgEAoGgFWiSYTV48OCgitQ1qaqqYtGiRQwfPrxZAxOcHdQUXyirclFW5T7vwtmag1xHaPPhUtbsLTotktdns/hCn5QY7hnZGbUKOsSZztl6VuciE/om06OdhfaxETjcPmJMeortrvMy5FQgEAgEgnOBJhlWTz75JD///DPjx4/nq6++AmDHjh288cYbZGRkUFxczKOPPtqiAxW0LhsOllBgdeL2+psUzna+kplTToxJz7EyR705aCt2FLBuf7FSZLkxnO3iC7JxdUmneO4Z2fmsHef5Rp+UGJweH34pEJJpNmpJMBuaHHIqEAgErY3VamXGjBkkJCQQGRnJyJEj+eWXXxq07/Tp01GpVCH/unfvHtTviSeeCNtP/rdx48Z6z7Nq1SqeeOKJpl5ik9i3bx9jxowhKiqKuLg4br31VoqLi0+5X2lpKQsWLOCyyy4jISGBmJgYBg8ezEcffXTKfefOnYtKpaJ3794NGuPGjRsZMGAAZrOZESNGkJWVFdJn5syZXHXVVfUe57777qNnz54NOufZSJM+aw4aNIhVq1bxxz/+kWnTpgGBiQDo1KkTq1atok+fPi03SkGrU2RzotOocHn9wiNRA3kuLu4Yi83pPcXcnJ+1uOVaSxbjryFowrg6M4zumcjrG7LplhhFckwEFqOWNXuLGN0zsbWHJhAIBI3C7/czfvx4duzYwQMPPECbNm1YuHAhI0aMIDMzky5dupzyGAaDgTfeeCOoLTo6uEDypEmT6Ny5c8i+c+bMobKykosvvrjec6xatYr//ve/Z8y4ysvL47LLLiM6Opp58+ZRWVnJs88+y65du/jpp5/Q6/V17rt582Yefvhhxo0bxyOPPIJWq2XZsmXceOON7N27lyeffLLOc86bN4/IyMgGjbGiooJrr72WwYMHM2PGDN5++20mT57Mzp07lRq3e/bs4fXXXyczM7PeY61cuZIJEyY06LxnI02OFxk1ahT79+9n+/btHDx4EL/fT6dOncjIyAgraCE4t5mSkaIs2A4W2Vm49hCjeyYyOSO1tYfWqsiFlk/FhL7JSqHX841/rd7P7nwbMSYdV/dJPicL8Z6rTM5IpUuiWXm2ZA/qmr1FdEk0i/sgEPyGUGkNRF/6u5C2c4WlS5eyadMmPvnkE6ZMmQLA9ddfT9euXXn88cf54IMPTnkMrVbLLbfcUm+fPn36hHz8z83NJS8vj7vuuqteQ6U1mDdvHlVVVWRmZtKhQwcABg4cyOjRo3n77beZMWNGnfv26tWLgwcPkpaWprTdc889XHHFFTzzzDM8+OCDYY2n+++/n8GDB+Pz+SgpKTnlGDdv3kx1dTVLly7FaDQyZswY0tPTOXToEN26dQNg1qxZ/P73v6/XG3XkyBH279/PK6+8cspznoqqqqoGG4YtSZMLBMv069ePqVOncsMNN3DRRRcJo+o8ZGeelaxCO9UeH29vOsq8VVlsz7WyNDOvtYd2znC2h/M1h6OlDpxeHydsThzuU3ntBC3NwSI7q/cU8tYP2ViMWqwOtyiNIBD8BlHrjcQMvTnon1pvbO1hNZilS5eSmJjIpEmTlLaEhASuv/56Pv/8c1yuhhWi9/l82Gy2Rp17yZIlSJLEzTffXG+/6dOn89///hcgKHxQpqqqivvuu4/U1FQMBgPdunXj2WefRZKaHrGybNkyrr76asWoArjiiiv4//buO66p6/8f+OsSkL1Btoi7TgQR96hVqai1KmrV4qpacbZOtA6cKM7q11VbsErdWmcV3Fate9S6BwiIomxkk/fvD365H2JAIYwQeD8fDx9tzr25eSVkvXPOPadOnTrYvXv3R6/r5OQkV1TJcvfq1QsZGRl4/vy5wnXOnz+PvXv3YvXq1YXOmJaWBh0dHejo5D7fzMzMAACpqakAgD///BO3bt0qsIdM5ujRozA2NkabNm1w5swZCIKAAwcOKOz3xx9/QBAEXL58GUDu38XAwADPnj1Dt27dYGho+Mm/ZWkpdmHFKr4b4fF4/CYFtyMS8DA6GfHvM5GSkQ0rI/V5wy5t5XlK9NL2tbMt9Ktoor6tEWxNdMtV8ViYv4u6/+1C77/Bi3fvceHJOzx8nYzO9a2QkMqTzDDG1MutW7fg4uICDQ35r6bNmzdHamoqHj9+/MljpKamwsjICMbGxjAzM8PYsWORkpLyyesFBwfDwcEB7dq1++h+o0ePRufOnQEA27ZtE/8BABGhZ8+eWLVqFTw8PLBy5UrUrVsXU6dOxY8//vjJDPmJiopCTEwMmjVrprCtefPmuHXrllLHlS2JZGFhIdeek5OD8ePH47vvvkOjRo0KfbymTZsiMTERK1asQHh4OObOnQtjY2PUrVsXGRkZmDx5Mvz8/GBq+vEfXo8dO4bOnTtDU1MTHTp0gIODA4KDgxX2Cw4ORs2aNdGyZUuxLTs7G127dkXVqlWxfPly9OnTp9D5SxJ/8rJPcnU0xauENETGpyIiMxUSCVBFooG2tS0+feVKIu+U6OWpsCgLkzrXxeefWZXLoY6F+buo+9+unrUhrryIEwup3N5lqTj9OmOMqYPo6Oh8CxsbGxsAwKtXrz76Zd/GxgbTpk2Di4sLpFIpjh8/jvXr1+POnTs4e/YsNDXz/8r733//4e7du5g2bdonR121bNkSderUQWhoqMKQw0OHDuH06dNYuHAhZs2aBQAYO3YsvLy8sGbNGowbNw41a9b86PE/FB0dLd63/O5vXFwcMjIyoK1d+CGfcXFx2LJlC9q2batw3I0bNyI8PBwnT54sUs7q1avD398f06dPx5QpU6Crq4tff/0Venp6WLx4MfT09PD9999/9Bipqak4e/YsNmzYACC3Z23w4MFYuXIlEhMTxXPl3r59i5CQEPExlsnIyICXlxeWLFlSpOwljXus2Cc1tjfBLM/6WNXfGd0a2cDORA/N/v9kDSxXeZ4SvSyU16GOhfm7qPvfzlivCro2sIatiS6A3IWDK+pEKYyxiistLS3fAkE2vCwtLe2j11+yZAn8/f3Rr18/DBgwAEFBQVi0aBEuXrxY4BJBAMQekeIOHTt27BgkEgkmTJgg1z558mQQkTiLdlHI7nNxHpe8pFIpBg0ahISEBKxdu1ZuW2xsLObMmYPZs2fD0tKyyFmnTJmCqKgoXL58GVFRUfjmm2/w6tUrLFmyBKtXr0Z2djbGjx+PatWqoXnz5gqzL54+fRoZGRn48ssvxTZvb29kZGTI/f127dqF7OzsfM+lGzNmTJFzlzTusWKF1tjeBKsHNBVngVPXL6KlobCTWLCyVZi/i7r/7WQ9ygAQHpuK5PQsNLQzRo8mtipOxhhj8jIzMxEXFyfXZmlpCYlEAl1d3XzPo0pPTwcA6OrqFvn2fvjhB8yePRsnT57EgAEDFLYTEf744w80bNiw2LNZh4eHw9bWFoaGhnLtn332mbi9ICkpKXJDFiUSCSwtLcX7XFKPy/jx43H8+HH8/vvvaNKkidy2n376CWZmZhg/fnyhj/chKysrWFn9b1ba6dOno1OnTujUqRN++uknnDp1Crt27cKZM2fg6emJsLAwmJiYAMg9v6pZs2Zy169Xrx7c3NwQHByMESNGAMgthFu0aKEws6Ompibs7e2Vzl5SuMeKFVl57Z1gqrU69BHaB5zBkN+uqO35Suqosb0JbE104Wiuj5dxqXA01y9357qpi//++w9eXl6oUaMG9PT0YGFhgXbt2uHw4cMK+xZ2XRmpVIply5bByckJOjo6aNy4MXbs2FEWd4excufSpUuwsbGR+xcREQEgd2ibbOhbXrI2W9ui/1ikq6sLc3NzhWJO5uLFiwgPD1fZRAcyy5cvl3tMZFO+y4bqFfS4mJmZFXoYoJ+fH9avXw9/f398++23ctuePHmCzZs3Y8KECXj16hXCwsIQFhaG9PR0ZGVlISwsrMDHsCD//PMP9u7dixUrVgDInSBk2rRpaNmyJWbOnAljY2McOXJE3P/YsWPo1q2bwnG8vb1x7tw5REZG4tmzZ/jnn3/y7a3S1tZWOD9PFbjHijGmtLy9l8f/e4OE1EzcS89W2/OV1JWs18rKSBvhse/hVp17k5URHh6O5ORkDBkyBLa2tkhNTcW+ffvQs2dPbNq0SZzWuCjrysyaNQv+/v4YOXIk3NzccPDgQQwcOBCCIOT7CzpjyspJS8ab4OlybVaDlkKia1jANcpekyZNEBoaKtdmbW0NIHeW6QsXLkAqlcp9Qb5y5Qr09PRQp06dIt9ecnIy3r17V+DQtuDgYAiCgIEDBxb6mAWdh+Xo6IiTJ08iOTlZrtdKtlDuh7Pz5eXt7Y02bdqIl2W9UHZ2drC0tMT169cVrnP16lU4OzsXKrNs3a1JkyZh+vTpCtujoqIglUoxYcIEhaGMQO7sghMnTiz0TIFEhAkTJmDixInieWWvXr2SK45tbW0RFRUFALh37x5evnwJT09PhWMNGDAAP/74I3bs2IG0tDRoaWmhf//+hcqhCoUqrDQ0NJSaRj0nJ6fI12HlV96FYGWL4fKX58ot78QPHg2scOD2K1Q31+NhomWssb0JDt95hcj4NBjravH5j0rq1q2bwi+m48aNg6urK1auXCkWVoVdVyYqKgorVqzA2LFjsW7dOgDAd999h/bt22Pq1Knw8vISF89krNhIiqzYlwpt5YmpqSm++OKLfLf17dsXe/fuxf79+8V1rN69e4c9e/agR48ecj0zz549AwDxS7usZ+XDYXgLFiwAEcHDw0Ph9rKysrBnzx60adNGbirzT5GtjZSQkCAOYwNy3z82b96MdevWwdfXV2xftWoVBEGQO3foQzVq1ECNGjXy3danTx9s3boVERERcHDIXTv01KlTePz4MX744Qe5+/Ps2TMYGxvLTUqxa9cuTJgwAYMGDcLKlSvzvY2GDRvmO635Tz/9hOTkZKxZs6ZIE28EBQUhIiJCboIJKysrPHz4EF26dEFWVhaePn0qFtXHjh2DlZVVvrMfWlhY4Msvv8T27duRnp4ODw8PhdkMy5NCFVZz5sxRKKwOHDiA//77D127dhUX/3r48CFCQkLQsGFD9OrVq8TDMtW6ER6PR6+T8c/zWJjpV8GrhDQurCo5V0dTHL7zCqmZ2ahnbYihrapzwa0ib5MzkJ6VA70qEi5sS5BEIoGDgwOuXbsmtn1qXRlZYXXw4EFkZWXBx8dH3E8QBIwZMwYDBw7E5cuX5X6lZqwy69u3L1q0aIFhw4bh/v37sLCwwPr165GTk6Ow/lGnTp0AAGFhYQBypw9v2rQpvvnmG9SrVw8AcOLECRw7dgweHh746quvFG7vxIkTiI2NLfIwQFdXVwDAhAkT0LVrV0gkEgwYMAA9evRAx44dMWvWLISFhaFJkyYICQnBwYMHMWnSpCLPCCgzc+ZM7NmzBx07dsTEiRORkpKCgIAANGrUCMOGDRP3i4qKwmeffYYhQ4YgKCgIQG6vlre3N8zNzdGpUyeFqctbtWqFGjVqwMLCIt/v7bIeqqJ8p09OTsbMmTOxePFiuUK3b9++mD9/PqRSKS5evIj09HTxh6yjR4/iyy+/LLATx9vbWyy2FyxYUOgsqlCowmrevHlylzdv3oyYmBjcu3dPLKpkHjx4gM8//1ypsbCsfHN1NMWV57HQ1tRAYlqWquOwcqCxvYnYaxV6/w3qWhvxMECm9t6/f4+0tDQkJibi0KFD+Ouvv8ShJ59aV+bYsWPi5Vu3bkFfX188eT3vfrLtXFgxlksikeDYsWOYOnUqfv75Z6SlpcHNzQ1BQUEK3zU/ZGJigu7duyM0NBRbt25FTk4OatWqhcWLF2PKlCn5nnsTHBwMLS0teHl5FSln7969MX78eOzcuRPbt28HEWHAgAHQ0NDAoUOHMGfOHOzatQuBgYGoXr06AgICMHny5CLdRl4ODg44d+4cfvzxR8yYMQNVqlSBp6cnVqxY8cnzq+7fv4/MzEy8ffsWw4cPV9geGBhYYE+ZshYsWAB7e3sMHTpUrt3Pzw9v376Fn58frK2tsXfvXlhaWiIxMRGXLl3CuHHjCjxmjx49YGpqCqlUip49e5Zo3pImkBLLQdeuXRvDhg3DzJkz892+aNEiBAUF4cmTJ8UOqApJSUkwNjZGYmIijIyMVB2nXNl3IwJ7b0TCykgHw9vwBBZMfoiobO2kHk1s+blRxhYdvY/TD2NgrKuFHk1sMay1k6ojKaU8vP9+//332LRpE4DcofC9e/fG5s2bYWpqiuvXr8PNzQ2///67wgng06ZNQ0BAANLT06GtrY3u3bvjwYMH4rAlmdTUVOjr62PGjBkFrrmSkZEhNxNYUlISHBwc+HOpAqs+42ixrp+TmojItfK9L/bjgyHRMy7WcQsjzF/x3BjGCmP37t0YNGgQ3r17J65V9aHs7GzY2tqiR48e+PXXX8s4Ya7CfjYpNXlFZGQktLS0CtyupaWFyMhIZQ7NyrmHr5NRRVMDloba/MWZAZCfrjzw4gu1XmxXneWdXp2HAhbPpEmT0LdvX7x69Qq7d+9GTk4OMjMzARR+XRltbe1ircuzZMkSheFPjDFW0ZiYmODnn38usKgCgD///BNv376Ft7d3GSZTjlKFVcOGDbF+/XoMHDgQdnZ2ctsiIyOxfv36j66OzdTX2+QMRManwVSvyqd3ZpWOkY4mrjyPRef6VnIzBnKRVfrUfT2u8qRevXrieRre3t7o0qULevTogStXrhRpXZnirMvj6+uLH3/8Ubws67FijLGKpEuXLgVuu3LlCu7evYsFCxagadOmaN++fRkmU45ShdWqVavQtWtX1KlTB19//bW4SNeTJ0/w559/goiwffv2Eg3KGCv/ktKzYaJXBaH33+Dh62ToVdHk3ium9vr27YvRo0fj8ePHRVpXxsbGBmfOnAERyZ2UXZh1ebS1tQu9Pg1jjFVEGzZswPbt2+Hs7CxOyFHeKVVYtWnTBleuXMHs2bNx4MABcTiDrq4uunbtCj8/P+6xqqAsDbVhb6oHS0P+wGeKXB1NEfLfa2RkS6GjJUETB10elsbUnuwzLjExEXXr1i30ujLOzs7YsmULHjx4gPr164vtV65cEbczxhjLX1BQkNoUVDJKL1Esm/M+OTkZ0dHRiI6ORnJyMvbv389FVQXWo4ktOtS1lDufg1VudyMTEHjxBe5GJgAAUjKyEZOcO/xpWGue4ISpj5iYGIW2rKws/P7779DV1RWLoz59+uDIkSOIiIgQ95OtK5N3hrGvvvoKWlpaWL9+vdhGRNi4cSPs7OzQqlWrUrw3jDHGyppSPVZ5aWhoQEdHBwYGBvlOZ8kqFj6Pg30o7yLBAJCUlo2495mIT81UcTLGimb06NFISkpCu3btYGdnh9evXyM4OBgPHz7EihUrYGBgAKDw68rY29tj0qRJCAgIQFZWFtzc3PDnn3/iwoULCA4O5sWBGWOsglG6Erp+/To8PDygp6cHc3NznDt3DkDuKtlfffUVzp49W1IZGWPlmKujKUz0tODqaAojHU3Ev88AQIh7z4UVUy/9+/eHhoYGNmzYgDFjxmDlypWwt7fHwYMH5SaSkK0rU7NmTcyYMQPLli1Dt27dEBoaqnBelL+/PxYvXowTJ05g7NixCAsLw/bt2zFw4MCyvnuMMcZKmVI9VpcuXcLnn38OOzs7DB48GFu2bBG3WVhYIDExEZs2bUKHDh1KKidjrJzK24t5IzwepvpV8DYlE1oSAYEXX/CsgExtDBgwAAMGDCjUvg0aNMCJEyc+uZ+GhgZ8fX3h6+tb3HiMMcbKOaV6rGbOnInPPvsM9+/fx+LFixW2d+zYUTw5lzFWebg6msLWRBeWBlXw9E0Kdl59icN3Xqk6FmOMMcZYqVOqsLp27RqGDRsGbW1tuSlkZWRj0xljlUtjexP4dvsMulU0oaUpwbsUHg7IGGOMscpBqaGAWlpakEqlBW6PiooST/JljFUedyMTcPjOK1gZaSMrRwq9KhLUszZUdSzGGKvwBIkWDJp6KrQxxsqOUoVVixYtsHfvXkyaNElh2/v37xEYGKgWqyMzxkrWjfB4PH6TAgCoaqiNKpoSPHydrOJUjDFW8Wlo68G8yxhVx2CsUlNqKKCfnx+uX78OT09P/PXXXwCAO3fuYMuWLXB1dcXbt28xe/bsEg2qzj5c54exikb2HDfS0UQdq9ze6rDY93j0Ogmh999g342ITxyBMcYYY0y9KVVYubu749ixY3j69Cm8vb0BAJMnT8aoUaOQk5ODY8eOoXHjxkoFysjIwPTp02FrawtdXV24u7sjNDS0UNc9efIkOnbsCAsLC5iYmKB58+bYtm2bUjmKK28x9eE6P4xVNLLneFJ6NmZ51oeulgRm+tpITMtCelYO9t6IVHVExhhjjLFSpfQCwZ9//jkePXqE27dv48mTJ5BKpahZsyZcXV3zndCisIYOHSoOM6xduzaCgoLQrVs3nDlzBm3atCnweocOHUKvXr3QsmVLzJs3D4IgYPfu3fD29sa7d+/www8/KJ1JGXmLKVdHU/G/jFVEHz7HTfW0cPNlAqoaakNTogErIx0VJ2SMMcYYK10CEZGqQ8hcvXoV7u7uCAgIwJQpUwAA6enpaNiwIapWrYpLly4VeN0uXbrgv//+w/Pnz8UFGrOzs1GvXj3o6+vjzp07hc6RlJQEY2NjJCYmwsjISKn7Iuup4jV8WGX0zebLeJWQDiNdTfR2sefXASu0knj/rYj4can4qs84quoISgvz9/z0ToypscK+Bys1FFBDQwM2NjY4f/58vtuDg4MhkUiKfNy9e/dCIpFg1KhRYpuOjg5GjBiBy5cvIyKi4PM0kpKSYGpqKrfqvaamJiwsLKCrq1vkLMXV2N4Ew1o78ZdJVilZGelAUyLATL8KXiWk4fCdV3yOIWOMMcYqNKUKKyC3J+mLL77AmjVrSizMrVu3UKdOHYVKsHnz5gCA27dvF3jdDh064L///sPs2bPx9OlTPHv2DAsWLMD169cxbdq0EsvIGPu04W2cMLiFIwBg/80onH/8ls8xZIyxUiRNT8HrP2bI/ZOmp6g6FmOVitLnWK1evRpXr17FDz/8gOvXr+OXX36Bjk7xzqOIjo6GjY2NQrus7dWrVwVed/bs2Xjx4gUWLVqEhQsXAgD09PSwb98+fPXVVx+93YyMDGRkZIiXk5KSlInPGPv/GtuboLG9CfbfjERaZjaiE3NgpKP02w1jjLFPIGkOMiLuKbQxxsqO0j1WWlpa+L//+z8EBQVh//79aN26NV6+fFmsMGlpaXJD+WRkBVtaWlqB19XW1kadOnXQt29f7NixA9u3b0ezZs0wePBg/PPPPx+93SVLlsDY2Fj85+DgUKz7wdOrM5arpqUBdKtowsZYF0np2aqOwxhjjDFWapQurGS8vb1x8eJFJCQkwNXVFadOnVL6WLq6unI9RzLp6eni9oKMGzcOhw8fxs6dOzFgwAAMGjQIJ0+ehI2NDSZOnPjR2/X19UViYqL472PnchUGT6/OWK7hbZzQ28UO1sY6CPnvNa9nxRhjjLEKq9iFFQA4Ozvjxo0bcHNzg4eHB3799VeljmNjY4Po6GiFdlmbra1tvtfLzMzEr7/+Ck9PT2ho/O8uaWlp4csvv8T169eRmZlZ4O1qa2vDyMhI7l9xGOlo4tHrJB76xCo12cyYPZrYIjNbilcJ6byeFWOMMcYqrBIprADAxMQER48excyZM3Hu3DmljuHs7IzHjx8rnON05coVcXt+YmNjkZ2djZwcxbHEWVlZkEql+W4rLUnp2ahrbcRDn1illrfnVjZLIK9nxRhjjLGKSqnC6sWLF+jVq5dCuyAI8PPzw507d3D69OkiH7dv377IycnB5s2bxbaMjAwEBgbC3d1dPPfp5cuXePjwobhP1apVYWJiggMHDsj1TKWkpODw4cOoV69emU657upoChM9LV4QmFVqsteBkY4mLA218Xm9qhjexknVsRhjjDHGSoVSY9UcHR0/ur1hw4ZKhXF3d4eXlxd8fX0RExODWrVqYevWrQgLC5MbXujt7Y1z585BtraxRCLBlClT8NNPP6FFixbw9vZGTk4Ofv31V0RGRmL79u1K5VGWbEY0xioz2esg8OIL6FXRhImeFr8uGGOMMVZhFaqwmj9/PgRBwKxZs6ChoYH58+d/8jqCIGD27NlFDvT7779j9uzZ2LZtG+Lj49G4cWMcOXIE7dq1++j1Zs2aBScnJ6xZswZ+fn7IyMhA48aNsXfvXvTp06fIORhjJcPV0RQ3wuNLvQdXdk6Xq6MpF3CMMcYYK3MCybp9PkJDQwOCICAtLQ1VqlSRmyCiwAMLQpme11SSkpKSYGxsjMTExGJPZMEYKxuBF18gITULJnpaGNaahxyqK37/zR8/LhVf9RlHi3X9nNRERK4dJNdmPz4YEj3jYh23MML8PUv9NhhTpcK+Bxeqx0oqlX70MpPHv5wzVvbKqmeMMcYYYyw/PB94Kcg7GxoXVqyyK6sfGvjcRsYYY4ypUolNt87+h2cFZOx/eMFsxhhjjFUGheqxcnJygiAIRTqwIAh49uyZUqHUHf9yztj/GOlo4srzWHSub6XqKIwxxhhjpaZQhVX79u2LXFgxxhhQvhfM5vMhGWOMMVZSClVYBQUFlXIMxlhFVZ57rPh8SMZYRSFINKFXt7VCG2Os7PArjjFWIgrq/SnPPVY8kyBjrCiKOyV6adLQ1odlL19Vx2CsUivW5BVZWVn4999/8ffff+P8+fMK/yqrfTci8P2269h3I0LVURgrMwVNUlGeJ3NpbG+CYa2duLeKAQCuXbuGcePGoUGDBtDX10e1atXQr18/PH78WGHfBw8ewMPDAwYGBjAzM8O3336Lt2/fKuwnlUqxbNkyODk5QUdHB40bN8aOHTvK4u4wxhgrY0r1WEmlUvj6+mL9+vVITU0tcD91XSC4uELvv0F8ahZC779BH1cHVcdhrEwU1PvDk7kwdbF06VJcvHgRXl5eaNy4MV6/fo1169bBxcUF//zzDxo2bAgAiIyMRLt27WBsbIzFixcjJSUFy5cvx7///ourV6+iSpUq4jFnzZoFf39/jBw5Em5ubjh48CAGDhwIQRAwYMAAVd1VxhhjpUCpwmrx4sUICAjA6NGj0aZNG3z77bdYunQpTExMsH79egiCgGXLlpV0VrXRub4VQu+/KZfnlDBWWriAYuruxx9/xB9//CFXGPXv3x+NGjWCv78/tm/fDiD3M/D9+/e4ceMGqlWrBgBo3rw5OnfujKCgIIwaNQoAEBUVhRUrVmDs2LFYt24dAOC7775D+/btMXXqVHh5eUEikZTxvWSMMVZalBoKGBQUhH79+mHDhg3w8PAAALi6umLkyJG4cuUKBEHA6dOnSzSoOunj6oCN3zbj3irGGFMjrVq1kiuqAKB27dpo0KABHjx4ILbt27cP3bt3F4sqAPjiiy9Qp04d7N69W2w7ePAgsrKy4OPjI7YJgoAxY8YgMjISly9fLsV7wxhjrKwpVVhFRkbi888/BwBoa2sDANLT0wEAVapUweDBg7Ft27YSisgYY4ypBhHhzZs3sLCwAJDbCxUTE4NmzZop7Nu8eXPcunVLvHzr1i3o6+vjs88+U9hPtp0xxljFodRQQHNzc6SkpAAADAwMYGRkhOfPn8vtEx8fn99VGWOMMbURHByMqKgozJ8/HwAQHR0NALCxsVHY18bGBnFxccjIyIC2tjaio6NhZWWlsA6k7LqvXr0q8HYzMjKQkZEhXk5KSir2fWEVmzTjPWL/+lmuzfzLCdDQ1ldRIsYqH6UKq6ZNm+LatWvi5Y4dO2L16tVo2rQppFIpfv75ZzRp0qTEQjLGGGNl7eHDhxg7dixatmyJIUOGAADS0tIA/G+0Rl46OjriPtra2uJ/P7ZfQZYsWQI/P79i3wdWeVBONlIfXZRrM+viU8DejLHSoNRQwFGjRsn9mrZo0SIkJCSgXbt2aN++PZKSkrBixYoSDcoYY4yVldevX8PT0xPGxsbYu3evOMmErq4uAMj1JsnIhsTL9tHV1S3Ufvnx9fVFYmKi+C8igpfvYIyx8k6pHquePXuiZ8+e4uX69evj2bNnOHv2LCQSCVq1agUzM7MSC8kYY4yVlcTERHz55ZdISEjAhQsXYGtrK26TDeOTDQnMKzo6GmZmZmIvlY2NDc6cOQMikhsOKLtu3uN+SFtbO9/eLsYYY+VXsRYIzsvY2BhfffUVunfvzkUVY4wxtZSeno4ePXrg8ePHOHLkCOrXry+33c7ODpaWlrh+/brCda9evQpnZ2fxsrOzM1JTU+VmFASAK1euiNsZY4xVHMUqrLKyshAWFoZbt27h5s2bCv8YY4wxdZGTk4P+/fvj8uXL2LNnD1q2bJnvfn369MGRI0fkhuedOnUKjx8/hpeXl9j21VdfQUtLC+vXrxfbiAgbN26EnZ0dWrVqVXp3hjHGWJlTaihgQkICpkyZguDgYGRmZipslw17yMnJKXZAxhhjrCxMnjwZhw4dQo8ePRAXFycuCCwzePBgAMDMmTOxZ88edOzYERMnTkRKSgoCAgLQqFEjDBs2TNzf3t4ekyZNQkBAALKysuDm5oY///wTFy5cQHBwMC8OzBhjFYxShdXQoUNx+PBhDBgwAO7u7jA2Ni7pXIwxxliZun37NgDg8OHDOHz4sMJ2WWHl4OCAc+fO4ccff8SMGTNQpUoVeHp6YsWKFQrnRfn7+8PU1BSbNm1CUFAQateuje3bt2PgwIGlfn8YY4yVLaUKq5CQEEyYMAGrVq0q6TyMMcaYSpw9e7bQ+zZo0AAnTpz45H4aGhrw9fWFr69vMZIxxhhTB0qdY2Vubo5atWqVdBbGGGOMMcYYU0tKr2O1c+dOSKXSks7DGGOMMcYYY2pHqaGAs2fPRkZGBpo1a4Zvv/0W9vb2+Z6E27t372IHZIwxxhhjjLHyTqnCKioqCqdPn8bt27fFk30/xLMCMsYYY4wxxioLpQqr4cOH4+bNm/D19eVZARljjDHGGGOVnlKF1d9//43p06fDz8+vpPMwxhhjjDHGmNpRqrCytraGmZlZSWdhjDHGGGNKEDQk0HZoqNDGGCs7ShVWkydPxoYNGzBixAgYGBiUdCa1dzcyATfC4+HqaIrG9iaqjsMYY4yxCk5DxwDWA/1VHYOxSk2pwio9PR1aWlqoVasW+vXrBwcHB4VZAQVBwA8//FAiIdXNjfB4JKRm4UZ4PBdWjDHGGGOMVQJKFVZTpkwR/3/dunX57lOZCytXR1Oxx4oxxhhjjDFW8SlVWL148aKkc1Qoje1NuKeKMcYYY4yxSqTIhVVaWhrWrFmDjh07okePHqWRiTHGGGOMMcbUikZRr6Crq4tNmzbhzZs3pZGHMcYYY4wxxtSOUkMBXV1dce/evZLOwhhjjDHGlCDNSEX8ua1ybabth0BDW09FiRirfJQqrFavXo1u3bqhYcOGGDp0KDQ1lToMY4wxxhgrAZSThZRbR+XaTNoMVFEaxionpSqioUOHQkNDA6NHj8aECRNgZ2cHXV1duX0EQcCdO3dKJCRjjDHGGGOMlWdKFVZmZmYwNzdH3bp1SzoPY4wxxhhjjKkdpQqrs2fPlnAMxhhjjDHGGFNfRZ4VkDHGGGOMMcaYPKVnncjJycH27dtx9OhRhIeHAwAcHR3RvXt3DBo0CBKJpMRCMsYYY4yx8qn6jKOf3klJYf6epXZsxkqaUj1WiYmJaN26NYYPH46QkBBkZWUhKysLoaGhGDZsGNq0aYOkpKSSzsoYY4wxxhhj5ZJShdWsWbNw48YNrF27Fm/fvsXNmzdx8+ZNxMTEYN26dbh+/TpmzZpV0lkZY4wxxhhjrFxSqrA6cOAAfHx84OPjAy0tLbFdS0sLY8aMwZgxY7Bv374SC8kYY4wxxhhj5ZlShVVsbOxHp1qvV68e4uLilA7FGGOMMcYYY+pEqcKqVq1aOHToUIHbDx06hJo1ayodijHGGGOMMcbUiVKFlY+PD0JCQtCtWzeEhIQgLCwMYWFhOHHiBDw9PREaGopx48aVdFbGGGOMMcYYK5eUmm7dx8cHMTEx8Pf3x4kTJ+S2aWlpYc6cORgzZkyJBGSMMcYYY4yx8k7pBYLnzZuHyMhIBAcHY/HixVi8eDGCg4MRGRmJuXPnlmRGxhhjrEykpKRg7ty58PDwgJmZGQRBQFBQUL77PnjwAB4eHjAwMICZmRm+/fZbvH37VmE/qVSKZcuWwcnJCTo6OmjcuDF27NhRyveEMcZYWVN6gWAAsLCwwIABA0oqC2OMMaZS7969w/z581GtWjU0adIEZ8+ezXe/yMhItGvXDsbGxli8eDFSUlKwfPly/Pvvv7h69SqqVKki7jtr1iz4+/tj5MiRcHNzw8GDBzFw4EAIgsCfoazkCBrQMq+m0MYYKzvFKqySk5MRHh6O+Ph4EJHC9nbt2hXn8IwxxliZsrGxQXR0NKytrXH9+nW4ubnlu9/ixYvx/v173LhxA9Wq5X6Zbd68OTp37oygoCCMGjUKABAVFYUVK1Zg7NixWLduHQDgu+++Q/v27TF16lR4eXlBIpGUzZ1jFZpE1xC2361XdQzGKjWlCqvY2FiMGzcO+/btQ05ODgCAiCAIgtz/y7Yxxhhj6kBbWxvW1taf3G/fvn3o3r27WFQBwBdffIE6depg9+7dYmF18OBBZGVlwcfHR9xPEASMGTMGAwcOxOXLl9GmTZuSvyOMMcbKnFKF1ciRI3H48GFMmDABbdu2hampaUnnYowxxsqlqKgoxMTEoFmzZgrbmjdvjmPHjomXb926BX19fXz22WcK+8m2c2HFGGMVg1KFVUhICH744QcsW7aspPMwxhhj5Vp0dDSA3GGDH7KxsUFcXBwyMjKgra2N6OhoWFlZiSM68u4HAK9evcr3NjIyMpCRkSFeTkpKKqn4FV71GUdVHYExVkkpdVajnp4eqlevXsJRcmVkZGD69OmwtbWFrq4u3N3dERoaWujr79q1Cy1btoS+vj5MTEzQqlUrnD59ulSyMsYYq3zS0tIA5A4b/JCOjo7cPmlpaYXa70NLliyBsbGx+M/BwaFEsjPGGCs9ShVWgwcPxoEDB0o6CwBg6NChWLlyJQYNGoQ1a9ZAIpGgW7du+Pvvvz953Xnz5uGbb76Bg4MDVq5ciYULF6Jx48aIiooqlayMMcYqH11dXQCQ61GSSU9Pl9tHV1e3UPt9yNfXF4mJieK/iIiIEsnOGGOs9Cg1FLBv3744d+4cPDw8MGrUKDg4OOQ7q5GLi0uRjnv16lXs3LkTAQEBmDJlCgDA29sbDRs2xLRp03Dp0qUCr/vPP/9g/vz5WLFiBX744Yei3SHGGGOskGTD+GRDAvOKjo6GmZmZ2EtlY2ODM2fOyE3wlPe6tra2+d6GtrZ2vj1djBVEmpmOpKv75NqMmveBRhUdFSVirPJRqrDKe6JtfsP0lJ0VcO/evZBIJOJsSkDucIkRI0Zg5syZiIiIKHA4xOrVq2FtbY2JEyeCiPD+/XsYGBgU6fYZY4yxT7Gzs4OlpSWuX7+usO3q1atwdnYWLzs7O2PLli148OAB6tevL7ZfuXJF3M5YSaDsDCRelF942tClO8CFFWNlRqnCKjAwsKRzAMidHalOnTowMjKSa5fNnnT79u0CC6tTp06hVatW+Pnnn7Fw4ULExsbC2toas2bNwrhx40olL2OMscqpT58+2Lp1q9wPfqdOncLjx4/lRk189dVX+OGHH7B+/XpxHSsiwsaNG2FnZ4dWrVqpJD9jjLGSp1RhNWTIkJLOASB3aERBsywBBc+eFB8fj3fv3uHixYs4ffo05s6di2rVqiEwMBDjx4+HlpYWRo8eXeDt8uxLjDHGZNatW4eEhATxM+fw4cOIjIwEAIwfPx7GxsaYOXMm9uzZg44dO2LixIlISUlBQEAAGjVqhGHDhonHsre3x6RJkxAQEICsrCy4ubnhzz//xIULFxAcHMyLAzPGWAWiVGGVV3R0NGJiYlCrVi3o6+sX61jKzp6UkpICIHfh4p07d6J///4Acs8Fa9SoERYuXPjRwmrJkiXw8/MrVnbGGGMVw/LlyxEeHi5e3r9/P/bv3w8gd/Im2Sx9586dw48//ogZM2agSpUq8PT0xIoVKxQ+x/z9/WFqaopNmzYhKCgItWvXxvbt2zFw4MAyvV+MMcZKl1KzAgK5q8nXq1cP9vb2cHFxEceLv3v3Dk2bNlVq1kBlZ0+StWtpaaFv375iu4aGBvr374/IyEi8fPmywNvl2ZcYY4zJhIWFgYjy/Zd3qZEGDRrgxIkTeP/+PeLj47F9+3ZYWVkpHE9DQwO+vr4ICwtDRkYG7t27h0GDBpXhPWKMMVYWlCqsDh8+jN69e8PCwgJz584FEYnbLCwsYGdnh6CgoCIf18bGpsBZloCCZ08yMzODjo4OzM3NFYZVVK1aFUDucMGCaGtrw8jISO4fY4wxxhhjjBWWUoXV/Pnz0a5dO/z9998YO3aswvaWLVvi1q1bRT6us7MzHj9+rHCO06dmT9LQ0ICzszPevn2LzMxMuW2yMfKWlpZFzsMYy9/dyAQEXnyBu5EJqo7CGGOMMVYuKFVY3bt3D/369Stwu5WVFWJiYop83L59+yInJwebN28W2zIyMhAYGAh3d3dx5qWXL1/i4cOHctft378/cnJysHXrVrEtPT0dwcHBqF+/foG9XYyxorsRHo+E1CzcCC+4J5gxxhhjrDJRavIKPT09vH//vsDtz58/h7m5eZGP6+7uDi8vL/j6+ooTYmzduhVhYWH49ddfxf28vb1x7tw5uSGIo0ePxpYtWzB27Fg8fvwY1apVw7Zt2xAeHo7Dhw8XOQtjrGCujqa4ER4PV0dTVUdhjDHGGCsXlCqsOnbsiK1bt2LSpEkK216/fo1ffvkF3bt3VyrQ77//jtmzZ2Pbtm2Ij49H48aNceTIEbRr1+6j19PV1cXp06cxbdo0/Pbbb3j//j2cnZ1x9OhRdO3aVaksjLH8NbY3QWN7E1XHYIwxxhgrN5QqrBYtWoQWLVrAzc0NXl5eEAQBJ06cwOnTp7Fp0yYQEebOnatUIB0dHQQEBCAgIKDAfc6ePZtve9WqVZWaNIMxxhhjjDHGikOpc6zq1q2Lv//+G+bm5pg9ezaICAEBAVi8eDEaNWqECxcuyE1JyxhjjDHGGGMVmdILBDdo0AAnT55EfHw8nj59CqlUiho1aoiz7xERBEEosaCMMcYYY4wxVl4pvUCwjKmpKdzc3ODu7g5LS0tkZmZi8+bNqFu3bknkY4wxxhhjjLFyr0g9VpmZmTh06BCePXsGU1NTdO/eXZzGPDU1FevWrcPq1avx+vVr1KxZs1QCM8YYY4wxRRq6RqqOwFilVujC6tWrV+jQoQOePXsmTnOuq6uLQ4cOoUqVKhg4cCCioqLQvHlzrF27Fr179y610Iwxxhhj7H8kesZwmPCHqmMwVqkVurCaNWsWXrx4gWnTpqFt27Z48eIF5s+fj1GjRuHdu3do0KABtm/fjvbt25dmXsYYY4wxxhgrdwpdWIWGhmLYsGFYsmSJ2GZtbQ0vLy94enri4MGD0NAo9ilbjDHGGGOMAQCqzzhaqscP8/cs1eOzyqXQldCbN2/QokULuTbZ5eHDh3NRxRhjjDHGGKu0Cl0N5eTkQEdHR65NdtnY2LhkUzHGGGOMMcaYGinSrIBhYWG4efOmeDkxMREA8OTJE5iYmCjs7+LiUrx0jDHGGGOMlZLSHGrIwwwrnyIVVrNnz8bs2bMV2n18fOQuyxYHzsnJKV46xhhjjDH2SdKsDLz/N1SuTb9RZ2hoaasoEWOVT6ELq8DAwNLMwRhjjDHGlERZ6YgL3SjXplevLcCFFWNlptCF1ZAhQ0ozB2OMMcYYY4ypLZ7KjzHGGGOMMcaKiQsrxhhjjDHGGCumIk1ewRhjjDFWHKW94CtjjKkK91gxxhhjjDHGWDFxYcUYY4wxxhhjxcSFFWOMMcYYY4wVE59jxRhjjDHGWAkrzfMJw/w9S+3YTHncY8UYY4yVooyMDEyfPh22trbQ1dWFu7s7QkNDVR2LMcZYCePCijHGGCtFQ4cOxcqVKzFo0CCsWbMGEokE3bp1w99//63qaIwxxkoQDwVkjDHGSsnVq1exc+dOBAQEYMqUKQAAb29vNGzYENOmTcOlS5dUnJAxxlhJ4R4rxhhjrJTs3bsXEokEo0aNEtt0dHQwYsQIXL58GRERESpMxxhjrCRxjxVjjDFWSm7duoU6derAyMhIrr158+YAgNu3b8PBwUEV0T6KF/FljLGi48IqH0QEAEhKSlJxEsYYq1xk77uy92F1Fx0dDRsbG4V2WdurV6/yvV5GRgYyMjLEy4mJiQDK7nNJmpFaJrfDSo40U/FvJs1MhSDRUkEaVtqq/bCnVI9/z69rqR5f3RT2s4kLq3wkJycDQLn8FZExxiqD5ORkGBsbqzpGsaWlpUFbW1uhXUdHR9yenyVLlsDPz0+hnT+XWFG82jRS1RGYmjJereoE5dOnPpu4sMqHra0tIiIiYGhoCEEQFLYnJSXBwcEBERERCsM71IE65+fsqsHZVaMyZiciJCcnw9bWthTTlR1dXV25nieZ9PR0cXt+fH198eOPP4qXpVIp4uLiYG5unu/nUnmmzs9jdcaPu2rw464apf24F/aziQurfGhoaMDe3v6T+xkZGan1i0ad83N21eDsqlHZsleEnioZGxsbREVFKbRHR0cDQIEf0tra2go9XSYmJiWeryyp8/NYnfHjrhr8uKtGaT7uhfls4lkBGWOMsVLi7OyMx48fK5wbdeXKFXE7Y4yxioELK8YYY6yU9O3bFzk5Odi8ebPYlpGRgcDAQLi7u/M5U4wxVoHwUEAlaGtrY+7cufmekKwO1Dk/Z1cNzq4anF39ubu7w8vLC76+voiJiUGtWrWwdetWhIWF4ddff1V1vDLBzwXV4MddNfhxV43y8rgLVFHmtGWMMcbKofT0dMyePRvbt29HfHw8GjdujAULFqBrV57OmDHGKhIurBhjjDHGGGOsmPgcK8YYY4wxxhgrJi6sGGOMMcYYY6yYuLBijDHGGGOMsWLiwooxxliR8em5jDHGyoJUKlV1hELjwoqpHH9BY5VNYmKiqiMobdeuXQAAQRBUnISVJ/w+XjbS09PlLvPjziqyJ0+eICcnBxoa6lOuqE/SUnTr1i28fPlS7suOurxZpaamqjqC0p4/f47U1FSFDwp1cOfOHTx58gSRkZFim7o8ZwDg4MGD8PHxwfPnzwGo169BO3bsgKGhIS5evKjqKEW2f/9+dOnSBatWrUJYWJiq4xTJzp07UbNmTXzzzTf4+++/VR2HqVBoaChmzJiBDRs24NKlSwC40C5t9+7dg5eXFwYMGIDvv/8eV69eBcCPe2nbtWsXvv/+eyxdulTufU+dPu/V0bZt21CnTh106dIF9evXx/z589XmB8lKXVg9ePAAbdq0QadOndCkSRM0b94c+/btQ3Z2NgRBKNcvnEePHsHV1RXfffedqqMU2d27d+Hp6YkePXrAyckJHTp0wMWLF8v14y1z9+5ddO7cGd27d4erqyuaNGmCn3/+WXzOqIPQ0FB8/fXX2LZtG44cOQIAavFr0K1bt+Du7o7hw4fD09MTRkZGqo5UaK9evYKnpye8vb1RpUoV6OnpQU9PT9WxCkX2uA8ZMgSGhobQ0dFBRkaGqmMxFUhMTET//v3Ro0cPHD16FJMnT0bXrl3x888/Iy4uDgB/4SxJssdy27ZtaNmyJaKiopCVlYUdO3agc+fOWL58uYoTVlxv3ryBh4cHRowYgWvXrmHp0qX44osvMG/ePCQkJJT774jq7JdffsGYMWPw+eef47vvvoOLiwvmzZsHHx8fPHv2DEA5/zGYKqk3b95Q06ZNqVWrVvTbb7/Rb7/9Ri1atCATExOaO3cuERFJpVLVhsyHVCqlvXv3Up06dUgQBBIEgc6ePavqWIWSnZ1NP//8M1laWlL79u1pzpw55OPjQw4ODlSvXr1yfT8yMzNp0aJFZGJiQu3bt6e1a9fSjh07qEOHDmRkZET79+9XdcRPkj2fb9y4Qebm5qSrq0vu7u50+/ZtIiLKyclRZbwCpaam0rBhw0gQBGrfvj0dPHiQ3rx5o+pYRTJ37lz67LPPKDg4mF6+fKnqOIWSmJhI3t7eJAgCdejQgQ4ePEhHjx4lHR0dWr58ORHlvqZZ5bF7924yNTWlzZs308uXL+nBgwfk7e1N2traNHnyZFXHq7DatWtHHh4eFBYWRkREL168oEGDBpEgCLRjxw7KyMhQccKKZ+vWrWRmZkbBwcH06tUrio2NpaFDh5KhoSH5+PioOl6FlZKSQq1ataIvvviCoqOjxfalS5eSkZERDRgwQIXpCqfSFlY7d+4kTU1N2rt3r9gWGRlJ/fv3J0EQ6OTJkypMV7Bnz55Rw4YNydzcnBYuXEj169enFi1aUFZWlqqjfdLx48epRo0aNHz4cHr48KHYfvHiRRIEgaZPn15u78fRo0fJxcWFJk2aRI8fPxa/UD558oQEQaBly5aVy0I8P3v37qUuXbrQxo0bSRAEmjlzpnh/ytt9yM7OpkWLFpEgCDRy5Eh6+/Ztgc+R8pZd5uXLl2RlZUUTJkxQaM+rPOV///491a5dm2rUqEEbNmyg8PBwIiJ6/vw5mZqaUu/evcttIc5KT8+ePal+/foK7b169SITExPauXMnEXHBXZJu3rxJBgYGtHLlSrn28PBw6tSpE9WqVYv+/vtvFaWruNq3b08tWrSQa3v//j0NHTqUBEGgo0ePElH5et+uCOLi4sjCwoIWLlxIRPLvJd9//z3p6OjQr7/+SkTl98fg8j/+p5SEh4dDX18fX3/9NQAgKysLdnZ2mDZtGtzc3DBp0iTExMSoOKUiTU1N9OzZE6dOncKsWbMwduxYXLlyBVu3blV1tE+6f/8+tLW14e/vj7p16wIAMjMz0apVK7i7u+PmzZvQ1NQsl93rxsbGGDRoEGbOnInatWtDIpEAyB33bmlpCUdHx3I/NECWzcHBAVeuXMHo0aPRqVMnBAYG4syZMypOlz+JRIKuXbuiVatWuHDhAiwsLKCpqYlDhw5h6NChmD59OgIDA5GZmVluh2KGhYUhOTkZ48aNA5A7rKdBgwbw8PDA119/jR07dgAoP+dKSKVS6OnpYevWrTh06BBGjBiBatWqAQCcnJxQq1YtxMXFISsrq1w/31nJysjIQGZmJkxMTMS2zMxMAMCsWbPg5OQEX19fZGdni++PrPisra2RmZkJfX19ABCH4VarVg3Lly9HVFQUgoKC8O7dO1XGrDCkUikyMjKgo6MDTU1NsT07Oxt6enoYP348XFxcMGHCBBBRuXnfVkdHjx6Fi4uL3LlrSUlJEAQB0dHRyMjIgEQiQU5ODgBg3LhxcHZ2xrx585Cenl5+T2FQaVlXBmQV7Ye/KqxatYoMDQ3pzJkzRERyv9jv2rWLtLW1afHixflet6wUlD09PV38/0ePHlGXLl3I3t6e3r17V6b5PiZv9rz5Hz16JLedKPex79ChA7Vp04bS0tLKNmg+CnrcP3ThwgVq2LAhGRkZ0bx58+jff/+l+Ph4uWOowqfy7927l2rVqkVERLdu3SJBEGjIkCEUFxf30euVhYKyy3rXJk+eTF26dCFBEKhWrVpkaGhIgiBQ79696d69e3LHKGsFZb9+/TppamrSgQMH6LfffiMNDQ3q27cvDRkyhKpWrUqCIFBgYKAKEv9PYZ7zUqmUcnJyaOzYsWRsbCw+1/kX24olLi6OHj9+LL4f5OXl5UV16tQR38fzWrVqFeno6NCiRYuIqPz+mqxukpKSqEmTJtSxY0exLe9rburUqWRoaEinTp1SRTy19uDBA5o4cSKNHz+eZs2aRY8fPxa39erVi+rWrUv//vsvEck/nzdv3kyCINCqVasUtrHCefHiBTk6OpIgCPT111/LbevQoQM1b96cIiMjFa63Zs0aMjQ0JH9/fyIqn58/Fbawkp0Ts2XLFrl22R8hNDSUtLW1ad68eWKb7MXx+vVr6tevH1laWqpk7HJB2Quya9cu0tXVpWnTppVysk8ranZZ4dW0aVPq37+/2KYKhckue45Mnz6dBEGgjh070pAhQ2jEiBFkYmKi0vG/n8ove1yvXr1KhoaG9OrVKyIiGjFiBGlra9Mff/xBRLnDHcrap16v4eHh1LdvXxIEgT7//HM6fvw4hYeHU1RUFC1YsIA0NDTIy8urzHMTffpxv379OllYWNDgwYOpSZMmNHv2bEpOTiYiort371LXrl3J3NycHjx4UJaxiajor1ciotmzZ5MgCHTo0KFSTMZUYebMmVS3bl2ysbGhKlWq0IwZM+SKqKNHj4rn9cjIfpSMiIigNm3aUJMmTejt27dlnr0imzp1KllbW1NISAgRyQ+Pevr0KVlYWNCUKVOIqHx+0SxvMjIyaMqUKaSrq0vNmjWj2rVrkyAIVKNGDdqzZw8R5f4AKQgC/fbbb+LnvuxxDwsLo06dOpGTkxOf36akxMREMjExoQYNGpC9vT39/vvv4rZt27aRRCKRO1VH9ti/fPmSmjRpQh06dBB/3CtvKmRhdf78eWrQoAEJgkBdunSh+/fvE5HiG46Liws1bdpU/EUi7/bg4GDS1NSkDRs25HtdVWfP2xYTE0PDhw8nHR0d8Vd7Vby5FiV7XhEREaSvr09LliwhItWMzy9sdtnlAwcO0K5du+jdu3dim6+vL2loaFBAQAARle2vWEV57Hfv3k116tQRJ4BISkoiPT096tixIw0bNoy+/fZbsegqT9mDg4Np6NChdPHiRYVtgwYNImNjY/HLfnl7vbZu3Zo0NDTIwsKCLl26JLctJCSEzMzMaOLEiURUds+bor5eZbkuXLhAgiDQ7t27P7o/Ux93796l9u3bk729Pc2cOZMWL15Mw4cPJ0EQaMSIEeJ5jREREeTm5katW7eW+1Ijew7MmzePDA0NxQKAlYw3b96QmZkZDRw4UPx8lL0ek5OTadCgQeTg4KDKiGojOTmZZs6cSTVq1KClS5fSo0ePKCcnh06dOkW2trbUtm1bSk1NpezsbGrSpAm1bdtWnDQkLz8/PzIxMRHPtWKFJ5VKKSIigjp06ECLFi2iunXrkpubG6WkpBBR7rnrbm5u5O7uLvcjjew5P27cOLKxsaHnz5+rJP+nVLjC6vLly1SvXj2qXr06eXl5kSAItHTpUrkT3mVvTAcPHiRBEGjhwoXiEDTZtkePHpG9vT2NGjWqzL7oFCZ7QU6dOkV2dnYKXaplpTjZz58/T4Ig0IkTJ8ogqaKiZP/Yl8gnT55QrVq1qEmTJnLDNUtbYfPLsl+4cIH09PQoIiJC3PbNN9+QRCIhLS0tmjt3rvgGVx6yy3InJiZSTEyM3PVl+/3zzz8kCIJcD3R5yC57Pzl+/Lg4i6esZ0r2S2dMTAx5eHiQg4NDmT1vivN6vXfvHpmamtL48eOJiAsrdRcfH09Dhw6lWrVq0f79++V6rL/66iuytLSkCxcuEFHu6+2XX34hDQ0N+r//+z/x+Z2ZmUlEuZ+bgiCIs6TyEKmSM3/+fLK0tBRP3M/7A+T06dOpatWq9OzZM1XFUxsvXrwgJycnGj16NCUkJMhtGz16NFlaWtL169eJKLfnRBAEWrlypfi6kL1v37p1izQ0NOjAgQNExO+DRRUTE0M6Ojr04MED8vf3JwMDA3HCivT0dNq6dStJJBJasmSJ+NjLPh/37NlDWlpa+Q5JLg8qXGF1//590tbWFrtz27ZtS7Vr16aLFy/mu3+3bt3I1taWDh8+TETyb1YNGjQgb29vIiqbF01Rs+fNlZKSIg7RkY21PnfuHB08eFBuv/KUXWb9+vWkqakpDo/Kzs6mZ8+eiW9u5Tk7kfyXh5YtW1KLFi3KtLD6MH+7du0+mn/nzp1Ut25dSkhIoDNnzlCbNm1IIpGQkZER1apVS/wSVV6f83mzyR77t2/fkomJSZkOhy1qdtn0yKNHjyYikiti+vbtS/Xr16fExMTSD07Fe87HxMSQo6MjderUiZKSkko7KitlcXFx5ObmJn5hJ/pfoXTmzBm5zxSi3Nlze/fuTba2tnTmzBm594nLly+TtrY2bdy4sezuQCWRnp5ODRs2pFq1ain8Uu/j40NVq1Ytt0OjyhOpVEqbN2+Wa5M933fv3k2amprij18JCQnUu3dvsra2pj///FPuOlevXiVBEGjr1q1lE7wCycnJoaioKKpbty6dP3+eXr9+TS1atCAnJyexWHr9+jWNGDGCDAwMaNu2beJ1pVIpfffdd2RtbU0RERHlsqCtUIWVrCjK+6u2rDdkwoQJ4peWvF+Ew8PDycDAgFq0aEE3b94U2//55x8yMjIiPz+/cpU9vyeR7P48fPiQXFxcqFGjRuTn50cODg5kbm5e6mv+FCc7EVGPHj2oVatWRJQ71GT79u3UtGlTcnFxodjY2HKb/cNfY0+cOEFaWlo0adKkUkwsryj5Zffh1KlTVKVKFerevTtJJBJq3bo1nT9/nnbv3i1+8S+LceMl+divX7+eBEGgX375pRQT/48y7zURERFkZGSk0Dv733//Uc2aNWnw4MFl8iFREo977969qUGDBpSSklIuP9hY4cj+ng8ePMh3ApOQkBDS1NSkXbt2yV3v33//JTs7O3J1dRWfy2/evKFp06aRra1tvkOnWPFdvnyZ7OzsqFGjRnThwgV6+fIl/fXXX+Tk5EQ//PADvxYLSfaj1oenHQQEBJBEIpFbDiYiIoKsrKyoQYMGdPz4cSIiioqKonHjxpGjoyO9fv267IJXIHFxcaSnpyf+mLdp0yYyMzOjESNGEBHRu3fv6PXr1+Tu7k7Gxsb0008/UUhICG3ZsoWqV69ertcSU9vCaufOnTR69Gjy9/en8+fPi+1531hkHxRDhgwhExMThV8cZC+qoKAgqlatGjk5OdHPP/9MW7ZsoR49epCDgwPdvXu3XGbPT3h4uLjGgiAI9NVXX8kN9ypv2aVSKSUnJ5ONjQ0NGDCATp48ST179iRBEMjDwyPfGWHKS/a8Xr16RYcPH6b27dtT/fr1xXP2SlpJ5b948SI1btyYPvvsM1q3bh1FRESIr4XWrVvTyJEjS7ywKq3H/vXr13TgwAFq3LgxtW/fvlRmxizJ95qdO3eSjY0NmZmZ0ciRI2nx4sX05ZdfkqmpaakMhS2Nx10qldLChQtJEATx10X+QlexyP6ehw4dIkEQxC+aef/OZ8+epRo1apAgCNS6dWvq1KkTaWtr09SpUykjI4OfE6Xk9OnTVKNGDdLS0qKaNWuSkZERubi4qGTym4pC9h44ceJEsra2FnuwZO/bJ06cIBcXFxIEgZydnally5akpaVFfn5+lJ2dzc91JTx//pzq1Kkjft5kZGTQ119/TRYWFtS/f39ycXGhGzdu0PPnz2n06NEkCAKZmJiQjo4OffPNN2U2ukMZaldYvX79mrp27Ur6+vrk4uJCpqampK2tTXPnzhW7wT9c7DQyMpIMDAyod+/eYqGRk5Oj8CHRunVrMjY2JnNzc2rcuHGJL7pXktk/dOHCBfLw8CANDQ1q2rRpoYexqTr706dPSU9Pj1xcXMjAwIDq1q1b4tPGllb2s2fP0siRI6lv375kaGhITZo0oWvXrpVo9pLML/uVLjMzk86fP0///vuvWEDJrlfS092X5mP//fff0zfffEMGBgbk4uJCt2/fLrfZ877XXLx4kbp27UomJiZUtWpVatq0qVzRU96y52fVqlUkCILcrE2s4pkxYwaZmppSfHx8vuc9Pn36lObNm0f9+/cnDw8POnLkiKqiVipPnz6l4OBgmjNnjtwwKVY8rq6u1KdPHyJS7M16+/Yt+fv708iRI6l///4KkxCxoomNjSVtbW2579lTp06lKlWqkEQioVmzZsmNtnrw4AGdOXNGnKCtPFO7wmrr1q1kZmZGwcHB9OrVK4qNjaWhQ4eSoaFhvl2Dsg+ARYsWkYaGBm3evFnuS07e/09LS6M3b96Uypfj0sie18mTJ6lKlSq0bt06tcp++vRpEgSBqlatqnbZDx8+TLVq1aIOHTrQb7/9VirZSyt/Wf3CVlqP/d69e8nAwIDc3d1Lbfhfab7XZGRkUHx8PN25c0ctssvICq3o6GgKCgoqlexM9WR/565du1LLli0LvT9j6iomJoZ0dXXFWX2Jcp/X+a3nxorv2bNnVKdOHQoJCaFLly5R27ZtSSKRUO3atcnIyEg8T1MVs0QXl9oVVu3bt6cWLVrItb1//56GDBlCgiCIU19++EafmZlJNWvWJHd3d3ERuGfPnsmdZ1DaHw6lmZ2odJ+AJZ097y8RmzZtErve1S37s2fP1Op58/TpU4XnTWkqzcf+zp07avWcryjvNTzspeL42PMwOzubTExMaPbs2WJbbGwsnT59mlJTU4mInwus4pD9yHv27Fkiyv3xaNu2beTm5lamn5mVRWRkJGlra5OzszNpampSy5YtKSQkhC5evEgNGjQgOzs7tS1q1aawysnJofT0dOratSu1bt1abJcNT7hx4wa5urpSjRo1FN7sP5xeffr06RQYGEguLi40YcKEUl8QlbPnn720ZxQrzexlMR15aeaXfTFSx+yl/djz61U12VnZkUqlckXVgQMH6OrVq3L73Lx5U5wRMC0tjS5duiSubSVb35ExdSd7H1y6dCmZmJjQ48eP6cyZM/T111+TlpYWNWvWTG69SlYysrOz6dtvv6VatWrR2rVr6eXLl+Jn0OzZs8nb25sSExPV8nEvl4XVgwcPaOLEiTR+/HiaNWuW+MspEVGvXr2obt264gQBeT8cNm/eTIIg0KpVq4hIsQcnKyuL3NzcSCKRkCAIZGNjI87ywtk5u6qyq3t+zs7ZmfrI+/e+d+8ederUiQRBoMWLF8t9iVmzZg1JJBLau3cvLVy4kMzNzcna2pr++OMPVcRmrFT17t2batasSSNHjiRDQ0OqXbs2L3RdyiIjI+nevXsKy9MUZj3F8qxcFVYZGRk0ZcoU0tXVpWbNmlHt2rVJEASqUaOGuN7K3r17SRAE+u2338QvC7IPirCwMOrUqRM5OTkpnJR/8+ZNmjVrFhkYGJChoSGtXr2as3N2lWZX9/ycnbMz9ZG3oEpOTqZRo0aRIAjUvHlz8Vw8ov8V4WPGjCF9fX2qUaMGaWpq0qxZs1SSm7HSlpaWRs7OziQIAhkZGYk/OjGmjHJTWCUnJ9PMmTOpRo0atHTpUnr06BHl5OTQyZMnydbWltq2bUupqamUnZ1NTZo0oXbt2uW7Vsa8efPIxMREPIeAKPdLw7hx40gQBBoyZIi4EC1n5+yqyq7u+Tk7Z2fqIe8adkS5MzoaGhqSnZ0dLVu2jJ48eZLvuVatW7cmQRBo8ODBfI4Jq/CmTZtG06dPV+g9Yayoyk1h9eLFC3JycqLRo0dTQkKC3LbRo0eTpaUlXb9+nYiItm3bRoIg0MqVK8Vx/7JfXm/dukUaGhp04MABIvpfl+LVq1fp/v37nJ2zl4vs6p6fs3N2pl6OHz9O9erVIx0dHfLx8aGrV6/mu7yCrGfrypUr4nOJsYqOZ7ZkJaXcFFZSqZQ2b94s1yabKW737t2kqakpLoCXkJBAvXv3Jmtra4XFLK9evUqCINDWrVvLJjhxdiLOrgx1zs/ZOTtTDzk5OfTTTz+RIAjUo0cP+uuvv8S1zBhjjJWsclNYEf3vV9MPT6YOCAggiUQirv5ORBQREUFWVlbUoEED8cTqqKgoGjduHDk6OtLr16/LLjhxds6uHHXOz9k5O1MPZ86coa1bt1JkZKSqozDGWIVWrgqrD8m6ZidOnEjW1tbiL7OyLxQnTpwgFxcXEgSBnJ2dqWXLlqSlpUV+fn6UnZ2t0mkaOTtnV4Y65+fsnJ2VTx+eZ8V/c8YYKx0CERHKuWbNmqF69erYu3cvcnJyIJFIxG3v3r3Dr7/+imfPniEpKQkTJ05Ey5YtVZhWHmdXDXXODqh3fs6uGuqcnTHGGKsQVF3ZfUpMTAzp6upSQECA2JaTk6MWKzJzdtVQ5+xE6p2fs6uGOmdnjDHGKgoNVRd2n3Lv3j2kp6fDzc0NAPD69Wv88ccf6Nq1K96+favidB/H2VVDnbMD6p2fs6uGOmdnjDHGKopyW1jR/x+heO3aNRgbG8PW1hZnz56Fj48Phg8fDiKChoaGuF95wtlVQ52zA+qdn7OrhjpnZ4wxxioaTVUHKIggCACAK1euwNzcHAEBAdi5cyesra1x9OhRdO7cWcUJC8bZVUOdswPqnZ+zq4Y6Z2eMMcYqnLIbdVh0aWlp5OzsTIIgkJGREa1atUrVkQqNs6uGOmcnUu/8nF011Dk7Y4wxVpGU+1kBp0+fDkEQ4OfnB21tbVXHKRLOrhrqnB1Q7/ycXTXUOTtjjDFWUZT7wkoqlUJDo9yeCvZRnF011Dk7oN75ObtqqHN2xhhjrKIo94UVY4wxxhhjjJV3/BMnY4wxxhhjjBUTF1aMMcYYY4wxVkxcWDHGGGOMMcZYMXFhxRhjjDGmZoKCgiAIAsLCwpS6/tChQ1G9evUSzVSWinv/8xMWFgZBEBAUFFRixyyqbt26YeTIkSV2vAEDBqBfv34ldjz2cVxYMcYYY6zSWL9+PQRBgLu7u6qjMBX5448/sHr1alXHUHDx4kWEhIRg+vTpYltCQgIGDRoEU1NT1KhRA7/++qvC9a5fvw49PT28ePFCYdv06dOxb98+3Llzp1Szs1xcWDHGGGOs0ggODkb16tVx9epVPH36VNVxmAoUVFg5OjoiLS0N3377bdmHAhAQEIBOnTqhVq1aYtuUKVNw9uxZ+Pn5oXv37hg5ciQuXbokbiciTJgwAZMmTYKTk5PCMZs2bYpmzZphxYoVZXIfKjsurBhjjDFWKbx48QKXLl3CypUrYWlpieDgYFVHqnTev3+v6ggFEgQBOjo6kEgkZX7bMTExOHr0qMKwvSNHjmDJkiWYMGECfv75Z7Rr1w6HDx8WtwcHByM8PBwzZ84s8Nj9+vXD/v37kZKSUmr5WS4urBhjjDFWKQQHB8PU1BSenp7o27dvvoWV7Dyb5cuXY/PmzahZsya0tbXh5uaGa9euye07dOhQGBgYICoqCr169YKBgQEsLS0xZcoU5OTkiPudPXsWgiDg7Nmz+d5W3nN67t69i6FDh6JGjRrQ0dGBtbU1hg8fjtjYWKXv959//omGDRtCR0cHDRs2xIEDB/LdTyqVYvXq1WjQoAF0dHRgZWWF0aNHIz4+XmG/efPmwdbWFnp6eujYsSPu37+P6tWrY+jQoeJ+svOgzp07Bx8fH1StWhX29vYAgPDwcPj4+KBu3brQ1dWFubk5vLy88j1n6r///sPnn38OXV1d2NvbY+HChZBKpQr7HTx4EJ6enrC1tYW2tjZq1qyJBQsWyP0tOnTogKNHjyI8PByCIEAQBPFcs4LOsTp9+jTatm0LfX19mJiY4KuvvsKDBw/k9pk3bx4EQcDTp08xdOhQmJiYwNjYGMOGDUNqampBfxrR0aNHkZ2djS+++EKuPS0tDaampuJlMzMz8Xjv37/HjBkzsGTJEhgYGBR47M6dO+P9+/cIDQ39ZA5WPJqqDsAY+5+goCAMGzZMvKytrQ0zMzM0atQInp6eGDZsGAwNDYt83EuXLiEkJASTJk2CiYlJCSZmjDH1ERwcjN69e6NKlSr45ptvsGHDBly7dg1ubm4K+/7xxx9ITk7G6NGjIQgCli1bht69e+P58+fQ0tIS98vJyUHXrl3h7u6O5cuX4+TJk1ixYgVq1qyJMWPGFDljaGgonj9/jmHDhsHa2hr//fcfNm/ejP/++w///PMPBEEo0vFCQkLQp08f1K9fH0uWLEFsbCyGDRsmFjh5jR49WvwcmjBhAl68eIF169bh1q1buHjxoni/fX19sWzZMvTo0QNdu3bFnTt30LVrV6Snp+ebwcfHB5aWlpgzZ47YY3Xt2jVcunQJAwYMgL29PcLCwrBhwwZ06NAB9+/fh56eHgDg9evX6NixI7KzszFjxgzo6+tj8+bN0NXVVbidoKAgGBgY4Mcff4SBgQFOnz6NOXPmICkpCQEBAQCAWbNmITExEZGRkVi1ahUAfLQoOXnyJL788kvUqFED8+bNQ1paGtauXYvWrVvj5s2bChOA9OvXD05OTliyZAlu3ryJLVu2oGrVqli6dOlH/06XLl2Cubk5HB0d5drd3NywcuVK1KtXD8+fP8fx48fxyy+/AAAWL14MOzu7Tw5drF+/PnR1dXHx4kV8/fXXH92XFRMxxsqNwMBAAkDz58+nbdu20W+//UaLFy+mLl26kCAI5OjoSHfu3CnycQMCAggAvXjxouRDM8aYGrh+/ToBoNDQUCIikkqlZG9vTxMnTpTb78WLFwSAzM3NKS4uTmw/ePAgAaDDhw+LbUOGDBHfs/Nq2rQpubq6ipfPnDlDAOjMmTP53lZgYKDYlpqaqpB9x44dBIDOnz8vtsk+Lz71vu7s7Ew2NjaUkJAgtoWEhBAAcnR0FNsuXLhAACg4OFju+sePH5drf/36NWlqalKvXr3k9ps3bx4BoCFDhihkbNOmDWVnZ8vtn9/9vHz5MgGg33//XWybNGkSAaArV66IbTExMWRsbKxw//M75ujRo0lPT4/S09PFNk9PT7n7LpPf38PZ2ZmqVq1KsbGxYtudO3dIQ0ODvL29xba5c+cSABo+fLjcMb/++msyNzdXuK0PtWnTRu45I3P37l2yt7cnAASA+vTpQzk5OfT8+XPS1dWly5cvf/LYRER16tShL7/8slD7MuXxUEDGyqEvv/wSgwcPxrBhw+Dr64sTJ07g5MmTiImJQc+ePZGWlqbqiIwxplaCg4NhZWWFjh07Asg9n6Z///7YuXOn3FAxmf79+8sNwWrbti0A4Pnz5wr7fv/993KX27Ztm+9+hZG3JyY9PR3v3r1DixYtAAA3b94s0rGio6Nx+/ZtDBkyBMbGxmJ7586dUb9+fbl99+zZA2NjY3Tu3Bnv3r0T/7m6usLAwABnzpwBAJw6dQrZ2dnw8fGRu/748eMLzDFy5EiF85by3s+srCzExsaiVq1aMDExkbufx44dQ4sWLdC8eXOxzdLSEoMGDVK4nbzHTE5Oxrt379C2bVukpqbi4cOHBeYriOzxGzp0KMzMzMT2xo0bo3Pnzjh27JjCdfJ7LsTGxiIpKemjtxUbGyv3fJNp1KgRnjx5gmvXruHJkyfYu3cvNDQ0MHnyZPTp0wctWrTA/v370aRJEzg5OWH+/PkgIoXjmJqa4t27d4W960xJXFgxpiY+//xzzJ49G+Hh4di+fTuAwo3FnzdvHqZOnQoAcHJyEseU5x3Hvn37dri6ukJXVxdmZmYYMGAAIiIiyvT+McZYacnJycHOnTvRsWNHvHjxAk+fPsXTp0/h7u6ON2/e4NSpUwrXqVatmtxl2ZfeD8830tHRgaWlpcK+H+5XWHFxcZg4cSKsrKygq6sLS0tLcba3xMTEIh0rPDwcAFC7dm2FbXXr1pW7/OTJEyQmJqJq1aqwtLSU+5eSkoKYmBi5Y+aduQ7IPfcnv8IAQL6z1aWlpWHOnDlwcHCAtrY2LCwsYGlpiYSEBLn7GR4eXqj8QO65WF9//TWMjY1hZGQES0tLDB48GEDRHzvZbRd0W5999hnevXunMBlHYZ83+cmvIAJyn2PNmjUTH/PTp08jJCQE/v7+ePToEQYMGIBJkybht99+w/r16/Ndh4uIijyMlBUdn2PFmBr59ttvMXPmTISEhGDkyJGFGovfu3dvPH78GDt27MCqVatgYWEBAOIXgUWLFmH27Nno168fvvvuO7x9+xZr165Fu3btcOvWLT4nizGm9k6fPo3o6Gjs3LkTO3fuVNgeHByMLl26yLUVNDPch19+CzODXEFfaPPrKevXrx8uXbqEqVOnwtnZGQYGBpBKpfDw8Mh3woaSIpVKUbVq1QJnSvyweCyK/M6HGj9+PAIDAzFp0iS0bNkSxsbGEAQBAwYMUOp+JiQkoH379jAyMsL8+fNRs2ZN6Ojo4ObNm5g+fXqpPnZ5FfZ58yFzc/NCFV85OTmYOHEiZsyYATs7OyxYsACtWrUSz88ePXo0goOD5c7XBnILu/wKVFayuLBiTI3Y29vD2NgYz549A5B7QvDkyZPl9mnRogW++eYb/P3332jbti0aN24MFxcX7NixA7169ZI70TY8PBxz587FwoUL5aZq7d27N5o2bYr169d/dApXxhhTB8HBwahatSr+7//+T2Hb/v37ceDAAWzcuDHfAqAkyHotEhIS5NplPSIy8fHxOHXqFPz8/DBnzhyx/cmTJ0rdrmwihPyu/+jRI7nLNWvWxMmTJ9G6deuPPg6yYz59+lSuJyo2NrZIvXR79+7FkCFD5NZXSk9PV3iMHB0dC5X/7NmziI2Nxf79+9GuXTuxPb9FcwvbcyO7rx/eFgA8fPgQFhYW0NfXL9SxPqVevXrYt2/fJ/fbsGEDkpOTMWXKFADAq1evYGtrK263tbVFVFSU3HWys7MRERGBnj17lkhWVjAeCsiYmjEwMEBycjKA4o/F379/P6RSKfr16yc3pt7a2hq1a9cWx9Qzxpi6SktLw/79+9G9e3f07dtX4d+4ceOQnJyMQ4cOlVoGR0dHSCQSnD9/Xq59/fr1cpdlvR0f9m7kt5htYdjY2MDZ2Rlbt26VGwoXGhqK+/fvy+3br18/5OTkYMGCBQrHyc7OFgueTp06QVNTExs2bJDbZ926dUXKJpFIFO7n2rVrFXrxunXrhn/++QdXr14V296+favQs5bfY5eZmanwGAOAvr5+oYYG5n388hZ89+7dQ0hICLp16/bJYxRWy5YtER8f/9Fz8+Li4jB37lwEBARAR0cHAGBlZSV3/tiDBw9gbW0td7379+8jPT0drVq1KrG8LH/cY8WYmklJSUHVqlUB5L7J+vn5YefOneL4d5nCfGg8efIERFTg8IC8Uwozxpg6OnToEJKTkwv8tb5FixbiYsH9+/cvlQzGxsbw8vLC2rVrIQgCatasiSNHjii8bxsZGaFdu3ZYtmwZsrKyYGdnh5CQkHx7XQpryZIl8PT0RJs2bTB8+HDExcVh7dq1aNCggdyCse3bt8fo0aOxZMkS3L59G126dIGWlhaePHmCPXv2YM2aNejbty+srKwwceJErFixAj179oSHhwfu3LmDv/76CxYWFoXuDerevTu2bdsGY2Nj1K9fH5cvX8bJkydhbm4ut9+0adOwbds2eHh4YOLEieJ0646Ojrh79664X6tWrWBqaoohQ4ZgwoQJEAQB27Zty3cInqurK3bt2oUff/wRbm5uMDAwQI8ePfLNGRAQgC+//BItW7bEiBEjxOnWjY2NMW/evELd18Lw9PSEpqYmTp48iVGjRuW7z+zZs9GoUSN4eXmJbX369MH8+fMxZswYODo6YtOmTVi5cqXc9UJDQ6Gnp4fOnTuXWF6WPy6sGFMjkZGRSExMFE9gLe5YfKlUCkEQ8Ndff+U7Lvxja3swxpg6CA4Oho6OToFfKjU0NODp6Yng4OBiLcL7KWvXrkVWVhY2btwIbW1t9OvXDwEBAWjYsKHcfn/88QfGjx+P//u//wMRoUuXLvjrr7/khnsVhYeHB/bs2YOffvoJvr6+qFmzJgIDA3Hw4EGFBYs3btwIV1dXbNq0CTNnzoSmpiaqV6+OwYMHo3Xr1uJ+S5cuhZ6eHn755RecPHkSLVu2REhICNq0aSP2pHzKmjVrIJFIEBwcjPT0dLRu3RonT55E165d5fazsbHBmTNnMH78ePj7+8Pc3Bzff/89bG1tMWLECHE/c3NzHDlyBJMnT8ZPP/0EU1NTDB48GJ06dVI4po+PD27fvo3AwECsWrUKjo6OBRZWX3zxBY4fP465c+dizpw50NLSQvv27bF06dJ8J+VQlpWVFbp164bdu3fnW1j9+++/2LJlC65cuSLX3qhRIwQGBmLevHlITk6Gj4+PwvX37NmD3r17K7UOJisiFU3zzhjLh2zNj2vXruW7ffHixQSAtmzZQnFxcQSA/Pz85PZ5/PgxAaC5c+eKbcuXL893vZNly5YRAHr06FFJ3xXGGGOVSHx8PAGghQsXqjqK2jp//jxpaGjQ48ePS+yYt27dIkEQ6NatWyV2TFYwPseKMTVx+vRpLFiwAE5OThg0aFCRxuLLTq798KTg3r17QyKRwM/PT+E4RFSqv94yxhhTT/mtpSj77OnQoUPZhqlA2rZtiy5dumDZsmUldkx/f3/07dsXzs7OJXZMVjAeCshYOfTXX3/h4cOHyM7Oxps3b3D69GmEhobC0dERhw4dgo6ODnR0dAo9Ft/V1RUAMGvWLAwYMABaWlro0aMHatasiYULF8LX1xdhYWHo1asXDA0N8eLFCxw4cACjRo0SZx5ijDHGAGDXrl0ICgpCt27dYGBggL///hs7duxAly5d5IYMsqL766+/SvR4+S0vwEoPF1aMlUOyaXarVKkCMzMzNGrUCKtXr8awYcPkxkgXdiy+m5sbFixYgI0bN+L48eOQSqV48eIF9PX1MWPGDNSpUwerVq2Cn58fAMDBwQFdunThqVkZY4wpaNy4MTQ1NbFs2TIkJSWJE1osXLhQ1dEYUymBPhz/wxhjjDHGGGOsSPgcK8YYY4wxxhgrJi6sGGOMMcYYY6yYuLBijDHGGGOMsWLiwooxxhhjjDHGiokLK8YYY4wxxhgrJi6sGGOMMcYYY6yYuLBijDHGGGOMsWLiwooxxhhjjDHGiokLK8YYY4wxxhgrJi6sGGOMMcYYY6yYuLBijDHGGGOMsWLiwooxxhhjjDHGiokLK8YYY4wxxhgrpv8HyqYfVR9H778AAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -62175,7 +62392,14 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:07:21.951059Z",
+     "iopub.status.busy": "2026-02-11T21:07:21.950061Z",
+     "iopub.status.idle": "2026-02-11T21:07:21.954565Z",
+     "shell.execute_reply": "2026-02-11T21:07:21.954565Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def filter_stuck_values(pandas_series):\n",
@@ -62194,7 +62418,14 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:07:21.956579Z",
+     "iopub.status.busy": "2026-02-11T21:07:21.956579Z",
+     "iopub.status.idle": "2026-02-11T21:07:39.084657Z",
+     "shell.execute_reply": "2026-02-11T21:07:39.084657Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Instantiate a new instance of TrendAnalysis\n",
@@ -62209,7 +62440,14 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:07:39.089664Z",
+     "iopub.status.busy": "2026-02-11T21:07:39.088667Z",
+     "iopub.status.idle": "2026-02-11T21:07:39.489161Z",
+     "shell.execute_reply": "2026-02-11T21:07:39.488155Z"
+    }
+   },
    "outputs": [],
    "source": [
     "stuck_filter =  (\n",
@@ -62228,11 +62466,18 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:07:39.492773Z",
+     "iopub.status.busy": "2026-02-11T21:07:39.491741Z",
+     "iopub.status.idle": "2026-02-11T21:08:02.616739Z",
+     "shell.execute_reply": "2026-02-11T21:08:02.616739Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -62263,7 +62508,14 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:08:02.619824Z",
+     "iopub.status.busy": "2026-02-11T21:08:02.619824Z",
+     "iopub.status.idle": "2026-02-11T21:08:02.625093Z",
+     "shell.execute_reply": "2026-02-11T21:08:02.625093Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -62290,11 +62542,18 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:08:02.628276Z",
+     "iopub.status.busy": "2026-02-11T21:08:02.627285Z",
+     "iopub.status.idle": "2026-02-11T21:08:26.293436Z",
+     "shell.execute_reply": "2026-02-11T21:08:26.293436Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -62326,11 +62585,18 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:08:26.296789Z",
+     "iopub.status.busy": "2026-02-11T21:08:26.296789Z",
+     "iopub.status.idle": "2026-02-11T21:08:26.604345Z",
+     "shell.execute_reply": "2026-02-11T21:08:26.603840Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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jCxYs4Nlnn+XZZ59FrVYzfvx4/vGPf0iGYW1tLUBExTRxu9lsDvksPT096Odt27aFXFN2dnaIY5WWlhb2XOLxxDkBvPzyy8yePZvExERGjx5N+/btMRqNKBQKli5dSn5+fpDIwD333ENKSgrz58/nlVde4aWXXkKhUDB8+HCef/55zj//fMDvHACsWrWKVatWhZ0PQH19fdCcmpp7tNTW1ko9z6I5ljjfAwcONPrciPNtas4qlUqqDwxHpOsxm81ccMEFFBQUMHDgQKZPn05SUhJqtRqz2czLL78cdD9asm5ut5tRo0axZcsWevfuzTXXXENqaqq0VnPmzGlU4CNaonn2jx49itlsDnKsmvM9jIbG7vdnn33W6L7i/VapVKxevZonn3ySxYsX88ADDwBgMpm48cYbmTdvnvTS5XQxefJkvv76a/7xj3/w3nvv8dZbbwGQm5vLvHnzGD169Gmdj4yMTOsjO1YyMjKnBZVKxdVXX82OHTt4+umnWb16NZMmTZIMtP79+0tvzE/V+WfPns3s2bM5fvw469ev5z//+Q+fffYZu3btYteuXeh0Omk+ZWVlYY8jqgKGUzwMVF0Dv/JaoCJYJMrLy8NuF+cgnsvj8fDEE0+Qnp7OL7/8EmIAi2/1GzJ9+nSmT5+O2Wxm48aNfPHFF7z33ntcdtll7N27l9TUVOkcL7/8MrNmzWpyzuL4puYeLfHx8VRXV4cVkAh3LPH8V111FZ9//nlU5xCjm+Xl5XTs2DHoM6/XS1VVVcS+Tg3vrci7775LQUEBjz/+eEgkZdOmTbz88sth592cdfvyyy/ZsmULM2bMCFG8PHbsWKspygU+++GikI09+61JuLUWz/nll19G3QMvMTGRf/7zn/zzn//k4MGDfP/997z11lu89tprmM1mSVREjBY3jPyKmM3miM5jc5kwYQITJkzAarWyefNmvv76a9544w0uv/xytm7dSs+ePVvlPDIyMmcGWW5dRkbmtGIymQCkNKbY2Fh69erFrl27qK6uPi1zaNOmDZMnT+bTTz9l1KhRHDp0iJ07dwJ+Bw/88skN8Xg8rFu3DoABAwa02nzWr18fVpZbnIM4p8rKSsxmM0OGDAlxqurr65t0TBMSEhg/fjzvvPMOM2bMoLq6mh9++AHwp8IB0vU1hclkonPnzpSUlHDo0KGIc4+WAQMG4PP5WL9+fVTH6t69u6Qc6Xa7ozqHuI7hzvHjjz9GNKwb4+DBg4Bfya4h4VL6AucQLpIT7lrFc0yePDmqcwBSmmFzokWNPfsHDx6kuLiYnJycVnMymkNzn8+GdO7cmVtuuYXvv/+e2NhYvvzyS+mzxMREAIqKikL2O3jwYFDEuClUKlVUax4TE8OoUaN48cUXefjhh3G5XHzzzTdRn0dGRubsRHasZGRkWpVFixaxatWqsI5CWVkZ77zzDgAXX3yxtP2ee+7B5XJx8803h02xq6mpOaloltPpZMOGDSHb3W635MwZjUYAJk2aRFJSEosWLeLHH38MGv/SSy9RUFDApZdeGlJfdTIcOHAgpKfUl19+yffff0/nzp0lufU2bdpgNBrJy8sLSnFzu9385S9/obKyMuTYa9asCdtL6Pjx48Cv133++eczbNgwPv/8c957772w89yxY4e0H8BNN92Ez+fjgQceCLrfBQUFvPLKK9FevnQs8MviB/Zlqq6uDltDpVarueuuuzh27BizZs3CbreHjDl27FhQb6/p06cDMHfu3CBj2eVy8fDDDzdrviKilHlDZ2Tr1q3MmzcvZHxmZiajR4+moKCA1157Legz8Z5He47Dhw9LKW4NEdMajx49GsVV+Ln55psBePrpp6WaOvA7Z/feey8+n49bbrkl6uO1JldeeSWdOnXi9ddfZ8WKFWHHbNq0CZvNBvifwcOHD4eMqampwel0YjAYpG3du3cnLi6OL7/8Muj5ttvtUUVvA0lOTqaioiLs8/jDDz+Edd7F6KX4XZSRkTl3kVMBZWRkWpXNmzfz8ssvk56eztChQ6V+TwUFBSxfvhy73c6VV17J1KlTpX1uvvlm8vLymD9/Pp06deKyyy6jffv2VFdXU1BQwA8//MBNN93Em2++2aI52e12hg4dSufOncnNzSU7OxuHw8GqVavYs2cPV1xxBT169AD8EbT33nuPadOmMXz4cKZNm0b79u3Jy8tj5cqVpKenS7URrcXYsWP561//yjfffEPfvn2lPlZ6vZ733ntPSlVSKpXMmjWLZ599lvPOO48rr7wSl8vFmjVrqK6uZuTIkaxZsybo2FdddRWxsbEMHjyYDh06IAgC69at46effiI3N5dLL71UGvvxxx8zatQobrnlFl555RUGDRpEQkICxcXFbN++nZ07d7Jp0yapr9Bf//pXli5dypIlSxgwYACXXXYZZrNZajD71VdfRb0Gf/jDH/jkk0/46quv6N27N1deeSVut5vFixdzwQUXhI2KPfbYY+Tn5/Pmm2+ybNkyRo0aRbt27Th+/DgHDhxgw4YNzJ07V0qvGj58ODNnzuTtt9+mV69eTJkyBY1Gw7Jly4iPjycjIyOsiEhjTJ8+neeff57Zs2ezZs0aunTpwoEDB/j666+ZPHly2ObTr7/+OhdeeCGzZ89m5cqV0j3/4osvmDhxIsuWLQsaP3HiRDp37syLL77Ijh076N+/P0ePHuXrr79mwoQJYZ2nkSNHolQqeeihh9i5c6cUlXn00UcjXsuQIUO4//77+fvf/07v3r2ZOnUqMTExfPPNN+zcuZOhQ4dy3333NWt9WguNRsPnn3/OZZddxoQJExgyZAj9+vXDaDRSVFTETz/9xOHDhzl27BhGo5H8/HwmT57MBRdcQI8ePcjIyKCiooIvv/wSt9sd5JBqNBr+8pe/8NRTT9G/f3+uuuoqPB4Pq1atIiMjg4yMjKjnKfZ1Gzt2LBdffDE6nY6+ffsyceJEZs2aRUlJCRdddBEdOnRAq9WSl5fH6tWryc7O5tprrz0VSycjI3M6OaOahDIyMr85jh49Krz22mvCpEmThK5duwomk0nQaDRCenq6MG7cOGHhwoVhpcUFQRCWLVsmTJgwQUhNTRU0Go2QlpYmXHDBBcIjjzwi7NmzJ2gsYfoaiTSUkna5XMJzzz0njB07VsjKyhJ0Op2QkpIiDBo0SHjjjTcEp9MZcowtW7YIkyZNElJSUgSNRiNkZWUJt99+u1BSUtLk+aIlUOZ548aNwiWXXCKYTCYhNjZWGD16tLBly5aQfdxut/CPf/xD6NGjh6DX64W0tDThhhtuEI4cORJ2Hm+88YYwadIkIScnRzAYDEJiYqLQr18/4bnnngvbD6uurk6YO3euMGDAACEmJkbQ6/VChw4dhPHjxwtvvfWWUF9fHzS+trZWuPvuu4WMjAxBp9MJ3bp1E1544QXh0KFDzZJbFwR/P6k5c+YIOTk5glarFbKzs4WHH35YcDgcEe+3z+cT/v3vfwujRo0SEhMTBY1GI2RkZAgXXXSRMHfuXOHo0aNB471er/Diiy8K3bp1E7RardC2bVvhjjvuEMxmsxAbGyv07ds3aHwkWe1Adu3aJUycOFFITU0VjEajMGDAAOGdd94RCgoKIq7BgQMHhClTpgjx8fGC0WgUBg8eLHz99dcRz3f06FHhuuuuEzIyMgS9Xi/07NlTeO655wS32x1xbRYuXCj1H+NE2wORxp7ZRYsWCRdddJEQGxsr6HQ6oWfPnsLTTz8d1F9MpDF58aYk3xsiyq03Rnl5ufDAAw8IvXr1EgwGgxATEyN07txZmDJlirBw4UJJer+oqEh46KGHhCFDhghpaWmCVqsV2rVrJ4wdO1ZYsWJFyHF9Pp8wb948oWPHjtL3/b777hOsVmuz5Nbr6+uF22+/XWjXrp2gUqmC7v8nn3wiXHvttULnzp2FmJgYwWQyCb169RIefvhh4fjx41GtkYyMzNmNQhDC5IjIyMjIyMj8jjhw4ABdu3bl2muvZdGiRWd6OjIyMjIy5yByjZWMjIyMzO+GsrKykPo/m80mSeBfddVVZ2BWMjIyMjK/BeQaKxkZGRmZ3w0vvfQSixYtYsSIEbRt25aysjL+97//UVxczLhx45g2bdqZnqKMjIyMzDmK7FjJyMjIyPxuGD16NPn5+axcuZLq6mrUajVdu3Zl1qxZzJ49O2K/KhkZGRkZmaaQa6xkZGRkZGRkZGRkZGROErnGSkZGRkZGRkZGRkZG5iSRHSsZGRkZGRkZGRkZGZmTRHasZGRkZGRkZGRkZGRkThLZsZKRkZGRkZGRkZGRkTlJZMdKRkZGRkZGRkZGRkbmJJEdKxkZGRkZGRkZGRkZmZNEdqxkZGRkZGRkZGRkZGROEtmxkpGRkZGRkZGRkZGROUlkx0pGRkZGRkZGRkZGRuYkUZ/pCZyN+Hw+SktLMZlMKBSKMz0dGRkZmd8NgiBgsVjIyMhAqZTf/YnIf5dkZGRkzhzR/m2SHaswlJaWkpWVdaanISMjI/O7paioiMzMzDM9jbMG+e+SjIyMzJmnqb9NsmMVBpPJBPgXLy4u7ozNY2eJmW1FZvplJdC7XUKT4z/88Qi1Ng/xRjU3DO5wyufX2jT3emWaz7m6xuK8TTo1FqeHflkJbCsyn9PPu0x46urqyMrKkn4Py/g5W/4uyZy9VFZW0qlTp6Bthw4dIiUl5QzNSEbmt0O0f5tkxyoMYppFXFzcGf0Dtm9HFU6Fnn3VXob0aHoeQ3u2Z1l+KTVuOFLno09mwqmfZCuyZl0x+8vt1LjVDOnR/kxPh+3FZvIKa8jNTjzn1jISzX2mTjeR1nxIXBxDerRnwYYCnC43+6q95/zzLtM4crpbMGfL3yWZsxen0xmyzWQyyc+LjEwr0tTfJjmB/RSyJK+I2xf+zJK8ohbtn5udSIJRQ252YtT7FFXbsDg85BXWtOicZ56zx5jKK6zBbHOzLL+UBRsK2F5sPtNTOmla8kydTsQ1D/f8bi82s3bfcT79+Shr9x2Xtu8vr2dZfunpnKaMjIyMjIyMTAhyxOoUsmp3OTU2N4vziqlzeJod+eiTmdCs8XmFNSQYtZhtLnKzE8+piIvotHRNi2Vi34wzOg9xzXKzE3lvfQHbisx0TYsFOOvWsbn3uLnP1OkmNztRup6G5BXWsOdYHTVWN15fXYDzJZzeScrIyMjIyMjIhEF2rE4ho3umsWp3OXqNSnoLH41RuySviFW7yxndM40pudEXK+dmJ1JqtmPS+29r4Nv/M2lMR7qeQKcgr7AGo1ZNglFzRue6LL+UvMJqVu4q46HxPThUUU9VvZMdHi93jurS5P4tdWZbut+y/FL2l9dTaraH3W97sVmK5sRoVWwuqCYtTs/NQ3POSgerMccvNzsRlVKBUgFWp4f8IjMdko0YNCq6p8v1ODIyMr9v4uPjWbNmTcg2GRmZ04fsWJ1CpuRmMSU3K8hobgzRATlwvB6PV6DW7m6WY9UnM4G8whr2lVmYv+Ygo3umAZzxtK/FecWUmh0h1/Pe+gJ2lNSSX2Tm5qE5Ua3R6aDW7iHeoCCvsAaby4vHJ2DUqqNyRFrqzLZkv+3FZnaW1OL0+Bo97v7yeiwOF8U1DpQKOG5xnnAgz41opkifzATuHdONd9YVIAgCNTYX5XUOtGole8ssJ338UxnhPZeixzIyMucmWq2WESNGnOlpyMj8rpEdq9NAtOlXq3aXs7+8npIaG/FGDWlx+mafKzc7kc2Hq0gwaqlzeLjpopwWzLh10aqV1Ds9aNX+kj7RyPy5sJqqehdw9qSoTeybwf5yC4VVNmptLs5rF4/D7cWoVbG92NzoHLcXmyk12wG4pEebZp23sRS4SOQV1pCdHIPZ5oqYPilGMVfvPY7b60OpgPPa+d9gng3RzGgQo24VFiepJh23DcuRHKkKi5Mam7tVznMqI7xNRRZlZGRkZGRkzn1kx+oU05w31aN7pvHLUTNxejWgYFiX5kuk9slM4I6Rnc+a6A9A1zQTZbUOCqtsLMkrYt2BSnaU1FJjDTaIA9PWJvbNaLEBerLRgSNVNuodbpZuK+WuUZ1xuL0kGLVNGtwnk87YlGMpXlOcXi3V6zVM/Yx0XPA77T6fD4VSSYdkI1aXF5vL02wH8EwgRt12l9bi8vhon2xk7lXn0SczIWw0uCX3/2Sc4ug5N2vB5GibjIyMjIxMdMiqgKeI7cVmFmwoYFl+aUSVs4Z0STMxpFMyMXoN/bLiqXN4WnTu1XvK+eSnIlbvKW/R/q1NjFZFidmO2+tj1e5yDlXUU211oVYpyEgwcF67eLYXm5m/5uAJI9pyUqqGy/JLWbvveIuU4vIKa0AAs91NVb2TxXnFdE83Yba5Tji8kTmVintiNGXV7vKgqEpGggGjVt3oer23vgCzzUW9y4tBq+KLbf7oCTQtxiE+x6dLEXF7sZm5y3czd/lu6Zy52Yl0TYtFrVLgEwRqrC5JqRHgpouC68UaUxaMhOgUZyQYTonz0D3dFFILdrrXtqW0ZD1lZGRkZGR+j8gRq1OEP/XHQqJRS98sQ1TG9rL8Uo5WWzHp1Ri1akrN9ibTzwIRIz5L8orxCQIfbyliVI+0M/6WeXNBNTq1EovdjV6jQqNSoFQoyEkxMrFvO3KzE1mWX8pxiwO3V6BrmqkVnJOWybbnZieyclcZdrcHp8eH0+Njb5mFbulxLXZ0WwMxVXB0zzQpYhW4PU6vZsGGgrBRhUMV9Tg9PowaFWqVErVSgcURXfrc6RZACawJK6q2ccfIzgBkJBi45vwsSXxjf7mF1XuPs3bfcUZ0axN03eLzZHN5ov7+tCQVE6ITmlmSV8Q76wqIN6hZnFfM3jILE/tmnDXiMo0hRvL2l1tweXzE6dXNqvuUkZFpHh0eXN7qxzzy7IRWP6aMjEx4ZMfqlKIg1aSLus5pf7mFvWX1xOnVuL0Ceo0qaqNLjPgctzgx6VVUWd10SzGeFUZbWpyeo9U2tGoleo0KnVpFSqyGaqtbigLtLKkFFAzumMQjE3qe1PlEo7UxZ6Op+R63ODEBVqeb/Fo7dreXv47p1uh+onDI5sNV3DGyc0SVvpNJq+qSZpL2C0wPXJxXTLXVJakZBh47KUaLVqUkVq8mI16PSa9BqSAqWftam4v/7ipnbK+0Zs+1JYjpjTtLaqX0S79hX0/XtFgeGt+DvMIaPv+lGI9XYH+5BVAE1S6JIi7NcVrEVEwxihTt/RFbKqzaXR7R4VicV4zZ5qLUbCPOoMXp8ZGRYGixM3eqEZ3F7ukm9pZZSDBqOVJlA8F/LbJjJSNzdiIIPnz2YCEfpUFWTJWROZ3IjtUpoiXGvfhG2OXx0T7JKPWjigaxh1Wt3U2HlFjUKjs2l7fJ9LXTwc1DczhUUU95nZNdpbVc0r0N/95UiEIB89ceQqNSEm9Q08akk4z9k3FA+mQmcKDcwqurD6JTK5slGJBXWCOJIWQmGthzzIJGpaC8ztnkMQKFQ8IZ9KLzm2DUSvOM9joDmxUHStSbbW42H67C6fFRWe8iRqcOOvf2YjMuj49ObWJxe304PV5wEOJ8RWJvmYV4g6ZVVPeiIdDBWZZfSqnZToXFiVifJF5zp9RYyuscHLc4Q6JvJ1Mv1VyHTGypICpwhkN01GN0ajxeH0cqrewvqwM4K+uWRGdx6bZSkmI0/t8pyUaKa+wtEtSRkZE5PfjsFopfvT5oW+ZdH52h2cjI/D4581b3bxTRuH9nXQHtkwzStsaYmpspvSm2urzNOp/ogF3QIZF31hVgdfrT1s5k+logFocH5YnsvL1lFkx6NfVOv4BCUoyOWrtHilQt2FBAqdku1Q61xPBctbucCosDu9sHCFKEIJyzE+jY5GYnkl9kptqqItGo5ZLuqWwtqqV/VnyTDnKfzATJ0A7n0IpO2y9HzaTH6aRt0RjyoiNlc3mk8YHpgXvLLLRPMpJq0gU54++tL+BotY2kGC2dUmPZc6yOY7UO/rFyH4lGLaknnNlI547GcWhNxPtRa3Px9fZSvD6BHm3jpHQ/8K/ZJT1ypJ5jbq9P2leMVlkcHsw2V8hxm3JkmhtFCmypEOn5GNYlhfI6B06Pl4PH69GolKzdX0FpreOsVAn8tf+eElCQaNSQatLRNc3ExL4ZspiFjIyMjIxMBFrkWB07doy2bdu29lx+c6zaXY5KqeBotZ07RzVtqIlGGvidi5akMi3YUED7JCN2t5fz2sWfFWlGeYU1dE0zsa/cH/XwCRBn0BBn0KBRKdCpVXRINp5IZXRQa/eQmWgIMqaby+ieafywvwKdWkmFxSWl6InpTWJNjCiDvXbfcQwaFaN7ptE3KwGby8veMgu3Dcth3pS+LNhQEFWa36rd5ZLUfUNysxP55KciUk06KQIUrSEv3t+XVu3ji20ldEg2SsqAohR5OA5V1GNzedFrvKSadGwucFNrc7PhYBVKBSQYNdLxwxH4TLYmkRQgRUfzv7vKqbW5cXsFqq0u6ToDxy/LL8Wk1+LyeLE4PMxfc5A7RnaW6uScHh/L8kujTg1sqZrgsvxSfjxchUYVPjpa5/DX6x2qsOJ0+3B5BZQKBcU1dhKN2rPOUQl0Fpfll7KzpBa9RkW3dJP0O+Zsrw2TkZGRkZE5E7RIFTArK4sxY8awcOFCrFZra8/pN8PonmlkJRq4bVhOswy1BRsKiNOrm60wtySviJW7yjBqVbz6h/68dG3/Zhk+p0qlLDc7kQs7JdM/KwGNyi+cMLhjMkkxOkx6DWN6pVNjc1Njc1NQacPjFXB5fCFqb82hS5qJ7m39Smznd0jEbHORYNTy7S5/mtPivGLmLt/N6r3H2VNay9ajNRTV2Fm1u/yEs1NNQUU989ceYnuxmfwiMz8ersInCBHV0cR0zEgpnH0yE7htWA5ZiQa6p5siqto1xt4yCwhw8Hg9j3yxgz8t/JnFeUWs2VfBz4U15BVWM3/NQekedkqNJSnGn3q4v7weo1aNRq0EBARBaLS58KlEFKloON84vZotBVUIgg8UEKtX0yk1VhofqBjpV9pTMignicIqq9T4uE9mAr3bxWPSa6TziYqNYmpuuGe8pWqCeYU1HK2ycTyCc5ubnYjb68Pj86czqpQKXF4fFrubQxX1zVIOPd0UVdsw6TVBz3ScXs2+srqzIs1YRkZGRkbmbKJFfxmffPJJPv74Y2688Ub+/Oc/M2nSJG644QbGjBmDUikruIPfSalzeKToRnNqafaVWTDbXBEjI5FYtbucOoeH0tpfowHN2f9UqZSJ0Za5y3dztNoG+CXYXR4vTo+XlbvK6JBsBGBsrzSOVNlwerz84e1NTM3NbFHEJK+wBpNeS4cUUCoUkpqeAoE1+ytwewRKzXbMNjcoFCiAA+UW2iXo6ZOZgFatRKFQYHN5WJZfyo6SWgRB4Gi1nct6hf/aRNNXSryW5qSIwq+CAolGDRkJeuqdHmpsbuodHtxeAYNGicXuotLioEBrQ68p4KVr+3Pz0BwpomJxuKXmwDtKagF/s+BoRCxam3AiFX0yE6ToTmW9m9RYHQatmmFdUuiSZpLqpkQDv87hoVt6HFZXaHRQrHEUxwZGdMM94+JLiWqrE6dHoNbmYvboxsVKwO9kVFtdGLQqvD4fFRZniBJhn8wEBndMRqNScqzWjtcnSNdpsLvZWVJL73bxZ7SnWMN+YHmFNeQXmdlWVEON1U2vdnHSWLEPXYnZHiSmIiMjIyMj83unRV7Qww8/zM6dO8nLy+P2229n7dq1jB8/noyMDO6++25+/vnn1p7nOYe/l1IF/1i5j9sX/sx76/2pZIFv58ORm/1rdKW5b7C7p5v8KWGC0KJeUKeyD9P2YjP7yy0cqbTiEwT2llkYmJNMtdVNqdnOkSobb/7xfOZN6UvvdvEUVtkpqLSyanfLenGJvY/cXoGCSivvbzxCfpGZI1U21EolGpWCOoeH9Hg97ZMMqJRK4g0ajlb7jfdrzs+iQ0oM15zvd4TiDRoUCgX9shIi1q0F9pUS+ywF3msxIvj+xiNUWBz8fKQm6rf+q3aXs7+8nv/trWBQThKDOybTKTWGNnF6THo1Lq8/xczrE3C4vZTXOYLm1CsjHp1aSapJR6pJx+V9MrhhcDYvXdsf4Iz0U8pIMDA1N5Nu6X55/ZdW7eP9jUcorrHh8/mosblon2SgzuGhT2YCj0zoGVSHJ0Z1AUx6DTaXlxitigUbCjhQHiq2IYpa2FyekGd8cV4xpWY7RdV2rE4PH28pimo99pZZ0KmV1DncWBweth6tYd6KPUF9uMD/3dSplXRNM2HSa1ArFRg0fuc9OznmlPTPijYCvb3YzCNf7OBf6wt4b72/996y/BI2F1RRbXXj8QnsK6+XfneV1zmwubzUWF1nZZRNRkZGRkbmTHFSuRz9+/enf//+PP/886xevZqPP/6YBQsW8Morr9CtWzduuOEGbrjhBtq3b99a8z3HECisspEWp0epcBNv0OATkGpBwhlSfTITuGNk52bLMG8vNrO3zEK/rAQsDndQL6hoo2XiW/1TQV5hDcU1drRqJbV2D1efn0Wdw0NSjIbCKjtOj5e5y3cDUGFxkhKroc7hwe72b29MYKExqq0uqqwuNEoFR6ts6E700dJrVIzslkrsiXSxeoebrUW1kqz47NHdpIjF9mIzFRYntXY3u0pruaBD+PsS2POnsMpG17RY4NeIlBgRBPD4BHRqJXvLLFH1QhrdM41fjpqJ1an4dlc5l/VKZ0Q3f4Tjwx8Lcbi9eH0CWpWS9BMOi4j4HIj90QqrrJTX1UrRwrQ4PdnJMREjldHMr7kE93nzn3PptlLMVheCIJAap0et9Pc7a/g9CFzHmy7KYUleEesOVNI+ySDJg/94uAqdWhkkPy+KXejUqpAonajcl5Vk4LjFRZxeJaUVRmJ7sZmdJbVYXV4UJ6KeFoeHaqub1XuPA7/e+71lFopq7LjcXlQqBckxWhQKBRd2TKImiubTLSHaCLS/f54Nn4DkkB867n8BolCAVu3vfVZQaWXeij0Mykmi3unB5vKSX2SWInRnW62YjIyMjIzM6aZV8vYUCgXDhg1j/PjxDB48GEEQOHDgAE888QQdO3Zk2rRpHDt2rDVOdc4wsW8GI7q1YVK/DBKNGqbmZjK6ZxpHq23U2FxhI1fiG2ZoXt0N/Frfo1T4pbQD3+xHU8NxquqrRHKzEzmvXTw5KTHcNiyHKblZJ2pP/Glsbq8g1dCkmnRcOzCbtvF6fjpSw8pdZdLco52nWJNT7/SgUSrwCgIur++ECqGWK/u1o2u6P71pf7mFWL2G24blsLmgmtn/2Rpy/L1lFqxOD9VWF6t2l0es0TFq1RypsmFxuEMiUmJE8JLubUgwakk8Ibse2AspElNys3hgbDe6ppkY2yuNbUU1vP3DIZbll5CZaKBNnJ4YnYrMJCOjurcJcoD6ZCZw00U5TOybQcIJhTetWsWh41b2llk4VFHfaKRycV4xe47VsTivuNE1bz4KDlX4hUPeW1+ASqkABXROi2VU9zZc3DU17AsIcR1rbS5uX/jzCafKyNFqO93TTZhtLnRqJZX1LpweH3mFNZITdNzy67ZAhnVJwahVoVWryEkxolYpgwRBwj13/nRTDR6fDwXg8HhRKOCY2YbV6WFnSW3QeEEQcHoF4vQaDFo1XdNMbC2qlcROluQVcfvCn1mSV3RSq9qSOs30OD3JMVo6JBtZd6CSeqcHh9tHepyezm1iMWpVHLc4Kaq2YXV5mTwgk8xEIzU2l7S+89ccZNOhqiaj8jIyMjIyMr9VTvo16Zo1a/joo49YsmQJdXV1nHfeebzwwgtcf/31qNVqFixYwDPPPMMf//hHvvvuu9aY8zlBYD+eeKOWLmkm3ltfgMXhptbuIiclNuRNcsPi+ea8/Q0sLA/cX3yz35SBdarqqwLfYotpZ4Hn1KiU1Ds91NndaFQKcrOTpOjUBxuPSFGAwNqPaObpr31xEqtTkxSjJSnGr75md/vQqBSSkMHKklpJwGHV7nJKzf7eSIHHzyuskZQW/cZq+D5VosJfh2QjO0vqSDUFqwOK4+evOUi3NJPUpPdAuSUqSfMpuVl0STORV1hDYZWNOoeHaquFAe0TGNW9DXmFNZTXOSSDPjCKEKdXU3diHeP0anaW1GIyqEFAErcIx5K8IgqqrPh8Qqv2MBJroPKLzByttrG/3IJWpcSoVUmiE93TTUEOkPgcHSj3qzMeOF6P1enB7vKgUirpkhZLvFHLHSM7S0qJovz8r06QFbfXFxIhWnegkkMVVgwaJSa9huxkv3R94LkbPndi37KMeAN77RZUCiV1Dg/JMVp8AmQnx5xIq/PPpXObWIpr7Hh8ApmJeiwOd1C/uvlrDjbZbDgaGkb0orkXGQkG4vRq3llXgP1EzZpWoyQjwV8HaHV6qa63oVEpqLA46Z5uotrqdzxrT7wo8ovPWMlJMTYalZeRkZGRkfmt0iLHKj8/n48++ohFixZRWlpKeno6t956K9OnT+e8884LGnvvvfei1+u59957W2XC5xqBBll5nQO1UkmcQS3VlQQSKL3dXEcnUCAir9Af5RHTwS7p0Saq5rbL8kuxuTwhxfcnQ2Bj23+s3EdhlY1J/TKYPbqbJGBwpNKKRqOkyuo3BkXhjUn9Mvh2Vzlje6UFGbPRpEnuLbNgc3mJ1alpl+BX4dteXItKAUcqbewvq2PT4WoEwd/jamLfDBZtLqTO4SYnxS9lHuiUZCcbMWpVgD+lLpLqH0Cp2S71iAqXxiYqB4qGZ5/MhCYN6SV5RSzOK+a4xYlaqcDt9aFSgFKl4FCFlXqnh06psejUyqC0vsAmwt3S4yRHZWBOMr3bxZORYGDtvuN8+GMh+UXmEOd31e5ykmN0eH0CNw9t2kiPlsAXD/PXHMTq9FBZ7xeBOHi8nuIav7DFwJxkac7i92HlrjIKKq1YHG7UKhVeAQwnUkzFFxGBDZLFe2hxuE/U1ylD6uTK6xxolGB3eRnTM42u6XFB9y5Or2bz4aog51dM2/U/rwLHah1oVQoUCiVd02IlpUKnx0cbk442Jh2ZiUaKa/wRTZ1ahVGrItWkY/WeckpOiHNcfX4mJ0O470hjaXp9MhNYvaecF1fuw+XxISAQq1PTr30Cfx3TTerHlx6vR63yJzms2l2OyyPg8fnYXFBNdnIMR6ps9MtK4Gi1LeyLIxkZGRkZmd86LXKs+vfvj8FgYNKkSUyfPp3Ro0c3qgbYq1cvLrzwwhZP8lxGNHLi9GrpjX8kpbuGNU7NrbMSqbX767nqHJ6o3liL5z4VUavAxrY7S+rweH18u6uc2aO7SddbWGVl46EqkmL8kaDDFfUsySvmsl5pXHNBFnF6tVR/NbFvBjddlNNoQ1aReIOGaqtfCGRzQTVxejWlZg8JRhX/21uBUuE3pOMMGt5bX8C6A5V4fAJur0CfzARm/2crO0pqOa9dPH2z/OtTa3czqntkR1VMB+ybZQhZe7EGy6RXc92g9mGbFYfr7QS/RtPMNhdqlZLsZCPjz2vLzpJaDlVYKa/zR+cG5SSxt8wiRWREh1mvUWFzeaQ6JDGaE6dXU1hlCxK8CERsFpto1DB/zcFWq7MKNPRH90xj/tpDgEAbkxa3V0CjUqJVK/l6u9/ZP69dvKTumBanZ3dpHVq1ksxEA0kxWlwen/QiIfC5CIze9G4Xj9PjQ6dWhnyvpuZm8o7NTfskA13T40LunahA2NAhE++RGPFZnFdMtdXF/vJ6kmK0WBxunG4fiUaN1Mg50aihvM5BdnIMhVVWjlZbOVJpo22CgaxEw0mvb7haSbGmLVyfre3FZj7eUoTd7cMnCJj0avplJTCiW5ugY81fe4hKi4N1B9ykx+s4bnHQxqQjLU5Pt3QTF3RIpM7h4bJeaVJ0VEZGRkZG5vdEixyr9957j6lTpxIbGxvV+JEjRzJy5MiWnOqcJzD9K8GoZUyv9KgMp5YKSQQW5TdX/CK/yK/4FSh80Nj45ghiiKqA+8stpMXpgqJiFoeH5BgdWrUSnVqJzeUFYPn2Y5TWOnF5vGjVKkAIicREcgK7p5soqrbRLS2WGpsLp8dLvdOLUauk1u6mV0YcSoWCeqcHl0dg3YFKbA1kuw9V1FNtdXGoop6bh+bw+S/FON3eiM14xTU8VFFPp9TYkMif2IxYFLVo6Bguyy/lm51lIAjS2omM7plGidmOx+dDr1Fh0qupsDhJi/tVet3p8bG3zEK39Dj2llmk44tKhQlGv7Nt1KpxuG1YHB5eXX0Qh9uLy+NjUE5SyDWJzWJvX/hzq6SpiQRGMneW1PqjVRolbUx6yZmzu70cq3WgALYV1fKHge2pc3i4eWgO5XUOnB4fudmJPDKhp/Q8LssvxahVS89FYPRGXItwz6yYZrksv5T8InOIYEpjkVLxWj7/pZgD5fW4vT4SjBoE/GqFmYn+NFxx3UQHusLi5LjFSWW9C7XSH+lMidW2asQ4GEXYrXmFNcTq1FTVO4k3qKVzr9xVRpxezZTcLMmhdLh9+Fxe7C6/omaNzY1B43+pJkuvy8jIyMj83mmRYzVjxoxWnsZvm8D0L7FB6alQzhKNy5Yo6Im9msRIVzTj95fXh30DHokR3drQNc0kyZGLhqqoyNYpNZabh+Zw9yfbqKx3YdL7nam0OD2pJh37yy2SsddUSqAYYdhXVkeCUcueMgspsVoqLE4yEwwoFQp6t4unwuJkR0ktKqWCWJ2aGJ2aS7r71fY6pcZic3nplBpLn8wEOqXGssNVG/H68gprqLG5qba6sLlqI6jKCdLYcI6hIAgoFKEG8JTcLPaWWVi99zhmm4vCKitGjYrOaSYGd0ymwuLkUEU9dreXbUU17Cypwyf4yEw0MmNIBwCpPmnlrjK/OmOVFZ1aSY3VhU6jYnNBdVijfnuxGb1GhVLhbrIOLFrESNqPh6sor3Pi8/lweSDRqGHV7nISjFpqq/w1T2abm5RYrRRxyyusYWpuphQVEdMJE4xaHG4vhyqqACSnIDAtMPCaGr4YEJUDxe9BoAR6Yy86xDRBm8uLcMIptru8dG4TKz1ngS888gprsDg87C2z4PEKeLw+3F5/+p3F4Qn6brTW74iGfb0Cyc1O5JOfiujeNo44vZoR3dqwclcZPgHJkc7NTiS/yIzZ5sbp8ZIco6Xe6SXVpGPT4Wp+OVrDBxuPMKlfBvFGrawMKCMjIyPzu6RFjtW///3vRj9XKBTo9XoyMzMZMGAAOp2u0fG/dURjpiW1U82hofjFe+sLKK9zMCgnCeuJKFA4p0tUTFMrFWHTpBoijhdFH5ozN/ALadhcHmmuNw/NCTIk7xjRicV5xWjVSkk5D8Dl8eET/Cp1Y3qlN2q8iWstRj+6pZmwONykx+txeXxo1UpW7z1OvEFDG5NOShsc3DGZ+BPnHNYlBYfby7AuKQCknhhXXucI64CINWPVVicujy9IRAJ+jaLFaFVSs9vAprAT+2ZQYXFSXuege7op5JoqLE7q7G6qbW4UgNXtRadWSkZzjc2NxeGiuMZBvcON2yegUTmCUkLzCmuk6J/oWNY53Hh9AtVWl5TuJzotorNxtNqGTq2kS1rovFpKUbWNOrubOrsbnyCQFKPlSJWN7OQYzDYXU3MzeXX1QVweH16fvxauzuEJaaC9YEMBPgG2FZnpnm7C5vLi8fqYv/YQ76wrYGyvNGaP7hby/Qj3PRTX2ObyEKdXhzhg4dI1RSder/HXTJWaHcTqVByttiEIsK/MQoxWFSJ60T7JyL5yC4knUhk1Kv/3L9LcoiWcYEm4urPA70/3dBM7SmqptjrZdKiStDg9DreX7ukm6UWQWGMnRmQ7JBvZXFCN2eairM5FjNbfCqBfVgKbD1fJ4hUyMjLN5r///S9jx46Vflar1WRnZ3PDDTfw8MMPo9VGFls6m3A6nfztb39j4cKF1NTU0KdPH55++mlGjx7d5L5r166NmOW1adMmBg8e3OzzlJSUMHPmTNatW0dmZibPPfccEydODBrz+eefc/vtt3PgwAHi4+PDnt/n85GWlsZ9993H/fff3+S1/B5pccRKfKsuvqEVCdyuUCiIi4vjoYce+l3fgMB0uMZSxU6WwAL7vMIadpTUYnX634zH6NS0MenCNiLNK6whOzmGeIMmKmNIHG+2uUL6AUVCdHREIY2Gxp24bcGGAkrNdpweH8ctfgfF6fGxo6SWzEQDLo+PeqffuAYizjXQkBSV9ErNdiklrtRsx+LwoFMrmZqbyard5aTE6iSFNgiuqxGjHQ3FIcKdMzCCEjiuzuEhwajl213lxBs0lNU5qLA4uXlojrRv36wEzDZ32KhhqklHnEGDTxCwubz0aGuSejQB5BeZKayyEqtTUWsDvVqJSqkIkXwXnbqJfTNYll9K23gDbq/fSS6otPLq6oN0TTNJz5JfptxJG5PupF4IBN5zMYrr8vrreryCQKXVRZxBg0mvlup1spONfuU/t79n0rAuKUENtMV0v5W7yiRxkfPaxVNe5+BIlRWlQiHV9DWMcoaL4KSadOg0KqwON6+uPki/rASyk2N4b30BDrcXvUZFjc1NYFpq4PfupWv7S7V5apWSomobHq/AexsKGNUjTbrPouiFOGfx3OL3qaX1lYDUr6va6g66j6KT1fDljvh93lZkRhBgf3k9r/yhv+S0BjqjNTY3STF+YRary8txi5MqqwvBJ6BVKxnbK03qJfZbEa+YO3cujz76KL169WLnzp1Bn23cuJH777+fX375hbi4OK6++mqeeeaZkDT5kzGyZGR+T+Tn5wPw4osvkpqais1m47PPPmPOnDk4nU7mzZt3hmcYHTNmzGDx4sXMnj2bLl268P777zN+/HjWrFnD0KFDozrGrFmzuOCCC4K2de7cuUXnufHGGykpKeG5555jw4YNTJs2jb1799KhQwcAHA4H9957L08//XREpwpgy5YtVFZWMmHChChX4vdHixyrbdu2ceONN5KcnMz//d//STf6wIEDvP7665jNZl577TXKy8t59dVXeeihhzCZTPz5z39u1cmfa+QV1nC02kap2YFGpWxVw2N7sVlKoRINqPwiM5sL/GlRrhPRjUipQKKoQjQERuCinX+g0zF3+e4gKWwRMb0w0ajB7fU7VFq1X45djI6JTZa3FZkjNupt7NzL8ksprLIC0D7J34fn/Y1HSIrR0jXNFLGu5r31Bfx0pFo6ZmPn7pOZwOieaby/8Qi7SmullDTRARAEgQPlFhQKf6rVtiIzd43qTJc0U9hIlkigE9sw8ig6ZTaXl21FZjqnxVJhcXFeu/gQyfeGdV8mvZpEo5ZDFfWU1TlIMGg4Wu1XeFu1uxyTXoNK6aB9kvGkBAnyCmvYV2aRmhIDpMTqcLh92N3+KFP5CWczI8GA2eZ3DAwafw+lGpuLOocnpIF2n8wEereLZ3+539num+V3tlbvKZdUJQOvfUleEe9vPAL4X0Y0TBVMNGqwODySoEffrAS2FDjwCaBUuEmL01Ne55Ac1oYOuF/9U4HHdyKtUyGgUgZ/30WHRmzYLEaHAj9vKfvLLewtqydOrw66j6IqZEMHU/w5KUbDoeMuYnRqDpRbpDqwGptLqsHrmhZLhcXJj4erqLG5Mdv8TpVeq+LyPn61z0AH+lynuLiYZ555hpiYmJDPtm3bxiWXXEKPHj148cUXKS4u5oUXXuDAgQN88803QWNbw8iSkWkKpdZIypUPhmw7l9i+fTt6vZ5Zs2ahUvlfPM2YMYPs7Gw++eSTc8Kx2rJlC//5z394/vnnJUXs6dOn07t3b+6//342btwY1XGGDRvG1KlTT/o8drud1atXs3btWi6++GJuv/12Nm7cyH//+1/+9Kc/AfDCCy8QHx/Prbfe2uicVqxYQXZ2Nr169YrqGiJhtVrD/l79LdAix+qf//wnaWlpfPvtt0HbzzvvPK666irGjRvHv/71L959912uuOIKhg0bxvz585t0rOrr63n++efZvHkzW7ZsoaamhgULFkRd02U2m7n//vv54osvsNlsDBw4kH/84x8MGDCgJZfZqoiKcG6vj5RYbVQpd80hsI5LPG6qSUdKrE5KfevdLvxbiOYqArZUWAOQ1PdUSujRNk46X2B6Yde02BM1Vb8KPYi9m9Li9FKvnFW7y6MqmA8UCyivc1BtdVHv9JyI/Pjw+XzYXF5JBa3hdW4vNrO1yEyd3Y1SqUCrDpXrbkidwyOlpIl1KoEOQHq8nsIqGzaXg6p6p5TeKEbUwl1TU+suppiJktepJh3bimrp2TYu4j5iGmGp2c7RahtalRKFQsHYXmnEG7XE6dVSKqXD7W30mhtDfP5/OlJNZb2LaqtLUvPTa/zqfuV1DtxegfI6R1CEE36V4G+Y1hbuOsTnePbobswe3S1kLqt2l3Ok0orHJ7A4r1gSlRAdncEdk0mKsVBYZaNDst8oEdUWxciPGFUUrwugfZKB+WsO4hPguMWJRqUgPU4HCgX9Tzh7gYjXKDpti/OK2XsiEtuSOkkRl8ffp0uvUXHbsBzqHB4pLTBOr5ZShEWnUvyv1Gz3N1B2e3l/4xF/ZE4QUKuUpMXp2Vtm4c0/ns+CDQUn0hwFDBoVnhMvPeodbiltMFo10rOde++9l8GDB+P1eqmsrAz67OGHHyYxMZG1a9cSF+f/jnXo0IHbbruNlStXMmbMGKD1jCwZmaZQqDXEdD+3HfX8/Hx69eolOVUAWq2WjIwMjhw5cuYm1gwWL16MSqVi5syZ0ja9Xs8tt9zCww8/TFFREVlZ0YlAWSwWDAYDanWouR7teRwOB4IgkJjo/xukUChISEjAZrMB/jTBZ599lhUrVjSq8A2wfPlyJkyYwJo1axg1ahSff/45V111VdCYjz/+mOuvv56NGzdy4YUX8sQTTzBnzhx27drF008/zTfffEOHDh3YunVrVGtwrtEix2rp0qU888wzYT9TKBRcccUVPProo7z77rsolUqmTJnCI4880uRxKysrefLJJ2nfvj19+/Zl7dq1Uc/J5/MxYcIE8vPzue+++0hJSWH+/PmMGDGCvLw8unTpEvWxTgWBRlskZbKToWEUacGGAvaX16NRKWiXEINeo2J/eX0EQQX/m3sxknDqVMn89Rl+lT8lXdNMQeIDJr2GeAUh6VAHyi2sO1BJWpyOWrubflkJ7Cu34PYKEa8nkLzCGvaX11NcYyPeoMbp8aFQKPB6BbQqBT6lvzFtw6ax4pv3UrOdbmkm9gF6tYKdJbUU19ilSFQ4crMTWbvvOIVVtqB6qYYiAo98sYPyOif1Tk+QRHpTRBJfEKM5Pdua+HhLEbE6lWSsh9tfPGf3dBMVFifVVhdpcTo2F1TTu108uX0z6JJmCpva2BzE59/rE1Ar/bVMMToVlfUuNCoFdQ4PmYkGdGoVU3MzQ5ynaJx94ISyZS2DcpKCIqPd002SY+EX4gDVCSdZJNCZW5ZfisXh9vc6Q0G3dBNv/vH8kLUT16XbieMnGP11Ym1MOuqdHjISDEHpmg3nLKYSrtpdLn1HA9MMW8LU3EwW5xWTFqcPevGwvdjMI1/sYF+ZBbXKn7Id+PxO7Jshvdxwe31SOnd2shGXxx9VnP0f/x/C9klG2icZ2VxQhQD4fAIbD1dTWuskv8gsRQ3P5VTAH374gcWLF7N161buuuuuoM/q6upYtWoVd999t+RUgd9huvvuu/n0008lx6o1jSwZmd8yLpeLffv28cc//jFoe2lpKbt372b48OEnfQ63201tbWQRqkCSkpKadDTCsXXrVrp27Rr0uwFg4MCBgD/aHc13/qabbqK+vh6VSsWwYcN4/vnnOf/885t9nsTERDp16sQzzzzDM888w8aNG9m2bRuvvvoqAPfffz/jxo3j4osvbnQ+ZWVlbN26lSeffJIRI0aQlZXFRx99FOJYffTRR3Tq1CmkzdK0adPo0qULzzzzTEgZ0W+JFjlWPp+Pffv2Rfx87969+Hy/ChvodDr0en2Tx23bti3Hjh0jPT2dn3/+OSS3tDEWL17Mxo0b+eyzz6TQ6dVXX03Xrl15/PHH+fjjj6M+1qmgYY0RNC5ZHq2cuUhDQzRcLU2NzRVx/zqHB61aRY3NFZVR1zDdJ9q5ikp757WL55EJPQG/7Hhg09yGx8srrJEK/fVqBfvLLSTHaKJOXYzTq3F5vGQmGuiaZiJG61fAE507AKNWHRKFChTcuLBTMneO6swjX+ygzu6v+WlMerxPpr8PkNnmJt6oCdoeeP8Hd0xmZ0kt2ckxTfYdC1zzSKqM4vEXbCggJyWGgkprWCGMwMbB4trrNSoEwceO4lpSTX75+7zCGm66KCck/a65iHVIF3ZMYmtRLfEGNWV1TkmpMTlWRxuTXnJeWoKYaltrd/O/vcexubw4PT46pcb4pffT46RGyT0z4oPuf+DagT+yeui4FZ8g8OPhqqDUT3GMGJ0KjBIDpMfp+N/e4+h9KtLi9BwotzT6/RCl3t9bX0C11a+OeTLRbFEeXZSzD0z/K69z4vYKeE/URAXSJzOBh8b3kJzGwOhZXmENa/dVSLWOI7r5I4l7jtVRZ/cQq1eTHKOhuMZGtVUVsQ7xXMHr9XLXXXdx6623hjS9B9ixYwcejyfIyAH/m/V+/foFvYltLSNLRua3zu7du3G73eTk5FBZWYnb7Wb79u088MADqFQqnn766ZM+x4YNG6Ju/1NQUCDVIDWHY8eO0bZt25Dt4rbS0tJG99dqtUyZMoXx48eTkpLC7t27eeGFFxg2bBgbN26kf//+zT7P22+/zdSpU/nPf/4DwOzZs7nooovYuHEjX3zxBXv27GnyulasWIFer2fUqFEoFApuuOEGXnzxRWpra6W6rIqKClauXBk2mNK3b98zboufDlrkWF1xxRXMnz+fzp07c+utt0pOk8Ph4J133uHNN9/kmmuukcZv2rQppOAuHDqdjvT09JZMicWLF5OWlsbkyZOlbampqVx99dV8+OGHOJ3O06ZOaLfbqaysxGAwYDQa0ev1YdOXGku/O1n1QHEfsei8MbllMZ0p0agJqXuKRDQKa+EIVAAUCRdt21dmkZTFxBS35BgthVU2YnUqdGoVI7q1iWqudQ4PA3OSSTBquOmiHBZsKAgS3zhQbmHV7vIgBTRRFKGhMwygUSlQKxVNSo8HihpEWkOjVi2laIbrn9RwfOCai9Lt4RDXLD4rgb1llpAoZEPVxASjlsIqK1VWN26fXyBEjChCcFpkS9oFiHVIhVVWEo0a6p0euqWZUCpgXO90Kc3uZBBr2OIN/ho98f9d00xSxEpM5QuUaw+Hv/eZD4XCL1gipul1TzfxVX4pO4praZugJyvRGCT4Ij6/STE6amwWdpTUUl7nYGBOcsTvx5K8It5ZV4AgCKTH6+mb1fJU28C1yCusCVLfrLW5qLX7X67o1EpcHl/Ic9FYumng74g4vZp1ByrRqpWM7pnGzUNzgmokE4yac7rG6s0336SwsJDvvvsu7OfHjh0DiGjUrFu3LmhsS4wsp9OJ0/lrz7y6urroL0BG5hxk+/btADz22GM89thj0vYRI0awfv16+vXr1+j+l19+Oddddx3XXXddxDF9+/Zl1apVUc2npfao3W4Pa2+KtrLdbm90/yFDhjBkyBDp5yuuuIKpU6fSp08fHnroIakMpznnGTVqFEePHmXXrl1kZGSQlZWFz+dj1qxZ/PWvfyU7O5s33niDl19+GUEQuPvuu7n99tuDjrtixQpGjhyJwWAA/BH6efPmsXjxYm655RYAPvnkEzweDzfccEPIvBoe77dKixyrl19+mUOHDjFr1izuvfde6Q/EsWPHcLlcDBw4kJdffhnwO1sGg4F77rmn9WYdhq1btzJgwICQsO3AgQN5++232b9/f9g3j6eCtWvXMn78+KBtOp0Ond6AUqPDFGNEp9fjENSotXrapcTxdVI8BoMBg8HAM888E7ZPU3V1NT/88IM0TnTcGv5bo9GgUChOGDoWSs12JvbNIL/IzMpdZUzNzQyKtIgGfqoJMhIMUV1jOIW1/WV1DH9+DR2Sjfx1TLeo64TCRdtW7iqj2upi3oo9TM3NRK9RUV7nwOP1olZpQq6hMRo6OKLTIaa2ASea6tZJBf6BtSeBzBjSQXLCxBqbcNe5vdjM4rxiqWlvY2vYPsnAqt3lHLc4OVptZWdJrdT7KJwzJDa7bSyCJKYFzluxB6fHF5IyGegoifObmpvJ/hMplkqFgqJqGwfKLSFiF+Iz1RzjP7CeqM7hod7pYXBHY5O1RM2J3IoRF7GeDn5V2guMEi7LL2VtuYVqq4v8IrOkyhiIy+MjRqfCfUKFssRs51BFPT/G6TlQXo/D46PG5qZdgMpmYIpg17RYimtskgBLY47Gqt3lqJQK6p1eEo3aJh3saBD3KzXbKayyYnPp2FlSi0qpRKnwolAQ9rmItN4NvwsLNhRICoGBjmBr9986E1RVVfG3v/2Nxx57jNTU1LBjRIMlklETaNC01MiaN28ec+bMafb8ZWTOVURFwOXLl6PVaikvL2fevHnk5eU1qlQnsmfPHnr37t3omMTERC699NKTnqvL5aK6ujpoW2pqKiqVCoPBEPRSRMThcABIjklz6Ny5M1deeSWff/45Xq+3ReeJjY1l0KBB0s8LFiygrKyMBx98kO+++4777ruPDz/8EIVCwXXXXUe3bt2k6J7b7WbVqlVB4iHdu3fnggsu4KOPPpIcq48++ojBgweHDabk5Pw2am+bokWOVVJSEhs2bOCLL77gv//9L4WFhQCMGTOGyy67jEmTJkkOjl6v55133mm9GUfg2LFjYfNDA98KRnKsWvvNYLg/lIHnMAfXQHOkwdjHH3+cPpmpIcbJ3r17Q3JZw6FUKv1fKLUOVFq0ej3/UGlJveI+EjM6hKSwdYoTeP7tV6hyCJRbfbgVGoZ2z2DSBR2DHLdA562twcDV/dpgMBjYWVpHqdnOf3eVU+/0+N9sry/gpWv7R7NcQKhB17tdPKv3Hsfp8Ys/2N0+HG4fCUYtXdrEBs2/KeM7ULUNgmuRAh3DQEnqSIhpW6LDEsnByCuswenxUWt3RzxWYNpeglErjXV6fOw/kT7WmHEbyaFrLDLZcJ1Ep9rm8lDn8NC7XTzFNXZsLg81NnfYdEeLwxPSo6spAuuJXll9EP2JNLSm9l+WX8oP+4/zwcYj3DWqszSXxu55UbVNSm80atVB6yjW2/kbKPtl68NFkqbmZvLOugLiDWr2l9fj8wlYXV6OVlklaXqlAn46UiNF8AJTR8U01/3lFrqmmcKmeIpO3nGLA6vTw1Unmuuu3VcRdUpuU2snyq4P7piMVq1EpYA4gwYQTjjUwVHPpiLlDZ1HIKjp+W9BtOLRRx8lKSkppK4qENFgiWTUBBo0LTWyHnrooaAXknV1dXLKoMxvmu3bt5OdnR30YnrAgAH07NmT+fPn8/zzz0fc1+FwUFxcTPfu3Rs9RziHKBKioxSOjRs3hqQUiqmDbdu2paSkJGQfMdKdkRFdm5qGZGVl4XK5sFqtxMXFndR56urqeOSRR3jhhReIiYlh0aJFTJ06lUmTJgEwdepUPvroI+ka169fT11dXUjQYPr06fzlL3+huLgYp9PJjz/+yGuvvRb2nC1xKM9Fmu1Y2e12HnnkEUaOHMnkyZODUu/OJCcTem3tN4Oi0kpLMRrDy6M2FT4W8fl8WK1WwC8rbj2xvQ0+9BpVSMpVisrB1/9+PWjboq9hUZTzvfelhRzS5OATBDxef+3GoYp6LBYL06ZNi+icBf57S5EFNxp2xMVy5fk5dPB5uDDTiCE2nu7pJvaWWbA4XFRb3VLN0JK8Iqnov7GajobRnUjCD9GyLL+Ug8frcXkF2ieFv1ei3H24Zr8Nzx+nV0sNcbukmaSIS6nZ3mwhkYbpgoEpjw2N5kBFO/CncyYatRg0KhKNGmps7pBnpXu6iXUHKkmJbb6QxZK8IhbnFaNWKojRRf+rp7LejUalCHLyIjkAgeqYgY5yqEMgUFxjDytaAr860PPXHCQjwUCp2U6MTkVVvQsUoFaAWqnAJwhsOuR/UxL4nInS7aKEfzhEJ6/W7u/XFW/USrWRLb3/DRFrqgqrrPRuF0/beAOFVVZ2ldaiAKqtwY5/U5FQcd1LzXZJhEfcFljPda5GrA4cOMDbb7/NSy+9FJSi53A4cLvdHDlyRDJo4FcDJpBjx44FGTQtNX50Ot1pS1+X+W3gtdVS/Or1Qdsy7/roDM2m+Wzfvl2qPRTp0aMH559/PkuWLAlyrDweD4899hhvvvkmycnJPPzww3Tq1KnJBsLhHKJINFZjFS6lUEwd7NevH2vWrKGuri6otnLz5s3S5y3h8OHD6PV6qU/eyZznySefJCcnh+uv9z8vpaWlUu0W+H8vbdu2Tfp5+fLl9OzZM2Q9rr32Wu655x4WLVqE3W5Ho9EElQL9Hmm2Y2UwGHjrrbfo2bPnqZhPizmZ0GtrvxmM1gGKRKS5nuxxu7RNYu6Jxp+tedze7VMorlBKNS0xOjWdUmOxWCz897//bfbx/nni/5999hlTJ1zI9mLziWhTEkatGovDRWxCMh6FGrVWh0arJznBRHJ8LEsSTBEduWqDgQ1GI9VxnTG2yQ4yykXDO1Nro292qrRPuLdVFRYnLq8PnVpJqim84dMnM3Kz34ZOQWBELTCK1dAJisZoDWcYN4xQBUbpRHn3X2tydCHbRONerAWKN6hRKhTNrqFZtbucUrMDj89HlzaxUTWXntg3Q5LJD3TyIjkA4XqsBTZs7pZuChJNaXh/Atf5QLmFWrsbpQIu65XOrtJaamxuVD4FOSkxOD0+HG4v+8vruXNUl6CI4oINBdI6ij83vHeiExVYt5RXWEOMVsWqIjO6KKN6keiebmLV7nJidf5WCzFalaSumZUUQ2GVlQs7JgXt01BcJfCZC+eIB4qp7CypxRIQFT4XKSkpkeoOZs2aFfJ5Tk4Of/nLX5gzZw5qtZqff/6Zq6++Wvrc5XKxbdu2oG2nysiSkfktUVZWxvHjx8Om8l122WXMnTuXPXv20KNHDwAeeOAB9uzZQ0FBARaLhSFDhoSo0IWjtWqsGkspnDp1Ki+88AJvv/221GLB6XSyYMECBg0aJNmXNpuNo0ePkpKSQkpKirR/RUVFSBpyfn4+X331FePGjZMywqI9T0P279/Pa6+9xg8//ODvtQikpaWxd+9eacyePXuCrn/FihVcfvnlIcdKSUlh3LhxfPjhhzgcDsaOHRt0Lb9HWpQKmJubG9KB/kwjKgo2JJqQaGu/GbzpppvoedEYthwoo1uKjuwEDXa7ncWbD3G4rJpai5UeqTp2Hq2k6LgZr9tJih56pukxqYWICoparZZOnTpht9ux2+3YbLawzmQkerX/9YsaaDSdrGN1XnYbamJjeHd9ARqVElAwrEtKqziYgUaxSe83VM11Fqy1/lC+ePXmYjgU5XEf//vL2BLaYXP9WiMlOjv/d9lg7NZ6aaxGowmJstW6FTh8ajQ6Hf/7IYVdH/nr46ZNm8bYsWOlfQON/5UrV+L1ev01cBYPh4/Wo9HqWKW10znOwP+OW7E6tdJ8GtaFRStm0li6YLhatobOSaAsubju4r5iLVBZnbNFhnP3dBN7yiykxenQa1RSb6qmridcSmkkkYVIIjENe7xB+OsPXOeVu8ooqLSiUIBJ739ZoFEpcHsFOqXGsqOkFrVKSXayUYoQiucOPHakexeubslsc/PfXeVYHG6OOb1oD1e1KGolNgzvekIgZGLfDOavOYhKqeBIlY2MeD2X98mgayPR1IbzDueIi85ghcWJ0+NlV2ktJr36lLZsOJX07t2bL774ImT7o48+isVi4eWXX6ZTp07Ex8dz6aWX8uGHH/LYY49hMvnXceHChdTX1zNt2jRp35YaPzIyvyfE+qpwJRtjxoxh7ty5LF++nB49elBaWso777zDwYMHSUhIICEhgSFDhkTVtLa1aqwaY9CgQUybNo2HHnqI48eP07lzZz744AOOHDnCv/71L2ncli1bGDlyJI8//jhPPPGEtP2aa67BYDAwZMgQ2rRpw+7du3n77bcxGo08++yzzT5PQ+6++26uueaaoOjg1KlTufLKK3n44YcBWLZsGV9//TXgj9zt2bOHN954I+zxpk+fLqlxP/XUU81fsN8YLXKsXnrpJcaPH0/v3r2ZMWNG2MZlp5t+/fqxbt06fD5fkIDF5s2bMRqNdO3a9bTNRa1Wc1HPbC7qmS1t215sxtTBiEpTS/9k/9viuEQfA9RKHhrvfwMjGjTiG4SGjBkzhoMHDwZt8/l8OBwOfj5Uxk8HjtElRUd2vIbPfjzEoWNVmC1WerXR88vhcjxqY5CRJBpN8U4VAy+5HKPSi1pwU1xhprK2Hr3Cg8rnDnLkvN7QJrFGo5H/bTiO2+PDLgicf8I4bw3HKtAovqBDIusOVJK3v/ikjtu1XQrOBEOQ0Sgaim5XsKPqdrtxu90R6+7Kdv/67x49egQ5VoGG8+VDbqWoqChk/38G/FuhUPCUVkdsjBFBrUOt0bFcr6dk1p8ZMXl62AjNG2+8EaRAGRipK7P6OGJ207dDG/rmpIVE8RpGWPaVWSTJ+3DOSKJRwy9HzWQm6kNql6Ih3qjlwo7JfL//OIcqbKTH6cgIEH9oikhRu6aieeGiWBDeCQt0GOqdHixOD1qVgh8PV52QQU+SIkGdUmNRKiArydio0xtNKmrguLG90vhiWykqpQKNStmiWquGKZHL8kuxu71YnR5/02L8zmLD5ynw90LDeQf+3DCyWl7nwKTX4vJ4W/RsnC2kpKRINQaBvPTSSwBBn82dO5chQ4YwfPhwZs6cSXFxMf/4xz8YM2ZM0O+Blho/MjK/J0RFwHARqwsvvBCTycSKFSu49957+d///scFF1xAmzZtpDEVFRVNClecTv7973/z2GOPsXDhQmpqaujTpw9ff/11k72iwP975qOPPuLFF1+krq6O1NRUJk+ezOOPPx4iCtHc86xYsYIffviB/fv3B22//PLLmTt3Lq+++iqCIDBv3jzGjRsn7RMfH89FF10U9pgTJ04kMTERn8/HFVdcEc3y/KZpkUc0Y8YMlEolf/rTn5g1axbt2rULSV9TKBTSG4jW5tixY9TW1tKpUyc0Gn+qzdSpU1m8eDGff/655DlXVlby2WefMXHixDOeqx4orZ2RYMDh9vrfeCsVzF9zkKwkY4sMEqVSidFo5FCdAqUplSqVhiv65nDQk8TP6wpo39FAvULBwM7BRnKgAbnysIaRf55Lt3R/kf3tC3+mxuYm0agJ6Svkdgc7Wna7/YTSSwVKpYI4jYrEE7UibbQxPP/889K4wH2i+dloNJKbGTzfHSW1VNeGV9mLFoPBQO8GRmOfzAR6psdyszuy2ERTiLVx4QznaJxMQRBwOR1UOx1B2ysqKiJGaN58803pD1Jzue2223j77beBUKXEjf95jZ+3bSfGaOT//qOlXUo8247ZsPtUVGn1HImNITE+ltKfM+nWLiXIsWvTpg0dO3YMOV+cXs22IjMOtw+fz4fT42tWOmFjdVWNOTaR1i4cgQ5Dr4x4LA4PHp9Ajc1Njc1F36wEqRFwuL5r4eZ000U5Uc03cJ6jeqRJEb3A40abEirW7Y3umcbeMgvf7DwGApzfIQmH20uCURvWqQ3nPDW2juJ4Ub4+Tq9uUgDmt8KAAQP47rvveOCBB7j77rsxmUzccsstQapZIidjZMnInCwdHlx+So575NkJrXas++67j/vuuy/sZxqNJujlZmVlZVC6WVlZGRs3buTNN99stfmcLHq9nueff75RwY0RI0aEbZQbKRW5pecJZPz48Vgs4W2oBx98kAcffDBk+/LlyxkzZkzEIIpSqUStVjNx4sSwGVdPPPFEUETut06LVQGTk5Pp1q1ba8+H1157DbPZLBUOL1u2jOJif4TirrvuIj4+noceeogPPvggqLBw6tSpDB48mJtuuondu3eTkpLC/Pnz8Xq9Z4VkbcOeSKIi2M6SWhKM/iapDretxb18Gr5drnN46JeVEFTEL6btHCi3SBLbpRAUmViSV0SJ2Y7N5aVtvD4kpUej0aDRaEKaXc4Y0oHFecVo1Uqykoz+pqgOD2OuvfWk31wH7p9fZEan8CDc8jwawYPb7aRnqo6ebfQk6xUs33qE8uo6XA4HyQYFCo+TzDh1kOOWnp4eVHMknqO1auMaCkjkFdZgtbX82I3VB56MUErgy4ZApcQ4vZof1q9n/7YtTR5jdZhtkydPZsmSJUHbRPn5nf95joo9W1BpdFTFxTBzSWKTwiYGg4Fqp0CxO5buA0dwSY82QcfOzU7k+x0FZBuM1NbWcrDaxfbSeum7IDooDeXLG3NSxH0v6JDI3jILFRZnUI+3UrMdh9vLsvxSJvbNCFHDa0wEoimBCAitdWqoPNjUCxixbm9vmYWdJbW4PH5RGVF+PtL5m3JCG65ZYzVZvyXWrl0bdvvQoUPZsGFDk/s31/iRkZGJTLdu3Xj22WcpKipCr9dz4403olAoouqXKtN8RowYwbBhwyJ+vnTpUioqKpg+ffppnNXZS4scq0h/ZFqDF154QZJvB/j888/5/PPPAbjhhhsi9jJQqVSsWLGC++67j1deeQW73c4FF1zA+++/f0ocwOYSqfalwuKksMpKWpw+SBL8ZI/fMP1JrFXyCXC02oZRq8KkV9M1zUS3dJM0bv6agxi1atxeAb1Gxfw1B4MaoEZiSm4WU3KzpJSyF1buQ6VUkl9kDlsjE40RFs6IE4+1JK8b76wrQKWEeh8k9UojzqilZ5qZ2Gobbq+PwR2TG+0F1NBIjY2Npa6uLiRy1jCqtq+4klXbj1JZW4+l3kaPVC29041SGkK4+pqENm1J9jiCjhktNY2U0Z2MM9jQYQuM1thPwmELp2qZV+iXn3dazLjq/Cp69io4VhD9cbv0v5BRY8aF3M8+mQm8/tSbzDoRfQNQKlVodHq0Oj0+lRa1VsvbpliyUhMkZ63A7MbuU9EhpyPfLXwl5Jh9MhPYvXs3OuEwxjZGSiwevviugP4d09A7nRw4amabR4nP5ws7p0jPXbQRNPH5zy8yc7TaKvWgA5qMCAU2CM5OjgEI6o0m/k6I1Oy5oWx/U/Vi4piTaWouIyMjEw1jx45l3Lhx9OrVi8zMTEaNGkVFRUVIH1OZ1uH+++8Pu33z5s1s376dp556iv79+zN8+PDTPLOzkzNfHNWAI0eONDnm/fff5/333w/ZnpiYyLvvvsu7777b+hNrJQINlmX5pfxcWI3L7W9CmmrShbyNbykNjbe8whp8Avx0pJo4vRqNSiFJQQcaWaK0ebxBzeq9x8lJMYY1lBoaXqJEeI3Nxc6SOsw2F0qlgkMV9YQjGiMsXORHNAJFOez7F29HpVTw7a5y+mUlUF7nwO31nRDRaFwYoWHkQKFQYDKZpEL0SCzYUMBFHSx8ua2EeIUCt0nHP+/7Vb41cO0XbS7kf3sruPGFxcyb0lcaIwgC/9l0kHfX7ic9RkGaUUGiDjSChy/zCiirtoDHiVHlxdU2cmPrCRMmcPz48RAH0Gypp9ZixeNy4nU7cbtcIfs2dIACJcl97tDx0RIuwiYq4G3XClSG2ScajAZDRIeioYPp83lx2q047VZpW+0xOLq/4Z5gL49c8PzBBx/w97//vdF5fQ/M1elComwdOnRg2bJlYffZsGED3333XaORuu/2V+PwqTlU4aDGpUCr0/FtvsCdo3s06bgEOk95hTVcN6h9yD7vrS9gR0lt2JcfDb97kequAokmEicjIyNzsiiVyoh2oMzp44033uDDDz+kX79+8r0IoMWOVV1dHfPnz2fNmjUcP36ct956i4EDB1JdXc3777/PFVdc8bsPy0ZqyCoaKRUWJxa7B68gUGd3s+5AJd3TTafkbW9udiKf/1KMw+3F4fYSZ9DQPd0U5LSYbW4SjFruGNmZWYu24vX5KK9zhjWUwjk9hVU2DFoVDo8XrwA+r4BGFV6IIxojrClltT6ZCdw2LIdVu8slhzA7OYZdpbXU2t1UWBpXTGxO7U3DeQG0TzJQVOMgKUYTcezWolo0KgVbi2qDtisUChyCmgu6ZWG2uZgREBX0puwmr7CaY7UO2sYbaJMVeY3eeuutsNtFUYEEo4abLsrB6/WGROASE8MLFwA8+egDHDt2TBq7taCc+nobtRYrTqedeK1ArMoXNqon9tgIRFzrxXN8Ea+lKbq2Sw57v7YXm9lT1FJ3DdKT4iJ+dvR4TVTHEBuAm81maZvY6iEcP/zwQ4tyztcAH8XEYqsPnyO/cuVKXn311RBnbZNHSaUDOqYnotfrKbMJbC2x4hTU+Irj2NjejsFgoG/fviiVypDvZ6S6q0CiiYTJyMjIyPw2kJ3b8LTIsSouLmb48OEUFRXRpUsX9u7dS329PzKRlJTEW2+9RWFhIS+//HKrTvZcY1l+KfvLLZSa7SEyzLU2F9uKzBi0KtxeHxX1TgwaD4vziqUmqK2FWM9VWe9EEAQ8Pqizu3lnXQH9soLnJf5fp1ZiQRFWSrrheICVu8qI1alweX1olApEd+rg8XqW5BWFXFM0Tk2gMyo2cW1YyF/n8EipimIDWpvLS7xBE7HH1Mkizr3UbGd/ef2JhrPhGdsrjW93lTO2V2jtXCS1uu7pJoqqbVzcJVVqGttcGt4flUpFbGxsWKcnMFIlzeeimyOOEevzGkuzjMSVtz/CBZPK0eJhSIe4ZgmbRJLS9dewtTx1MSUhcoSypLI24mdNEak2bkleEYt/PBj2s2jwKdTM/s9WqV4q8B4cOnRIkshtDhe95P+/y+VCqVSGfD+L8jdw2dRbG232Lf532Oxh9I33yCmBMjIyMjK/O1rkWN13331YLBa2bdtGmzZtgiQvwS8V2ZI/7r9NgiM2osFy+8KfidGpsbm8ZCfHUFxjw+uDtLjwPaxOhrzCGvaX1/slpB0eDFoFLq+PbklGSbQi0JA6UG4hKUZLj7ZxpJp0UfXgeWh8D6nv0Y+Hq3B5fNjdPuxuL3OX7wFokcMYGEVpKBDQ0HGtc3jQqlXEG9S0OWF0wqkrqhcdoO7pkQ3z2aO7MapHGnmFNSFCIJGcy71lFo5bnNTa3Tw0vum0r3A0JxrX2Bo3PN7c5btZvfc48QZNs6TSRSaPGdbq9yI3O5G/zHuD7ilaOiZqWbh+P9W19egUHkZ1TojorIn/bqwVQ8d2bdie2haPy4ngcWG32xB80UXdIjlWq3aXU38SYiaCSsuOkloyEw0h38uTETNRq9WSympDamtrKSsri+o4xphYpv35ATklUEZGRkbmd0eLHKuVK1dy991307NnT6qqqkI+79ixY9iePb83GlPfGt0zjVW7yxndow1WlxeTXo3L42NYl9bvWB2nV+PyeOnRNp4ebeOpsblINGrpm5UgKQXCrxGiOoeHgTnJQY1AG15DOGEJUVVOgcDGw9XYXR7qHB4UCr8x2RLHqumUQYU0n1KznUSjhkRjcLTqVBXVi8pr4QRHGmu02lQ/pooTTlW8QXNa3voHSu9Hk8IVb9CgUytbZDi3NP0SIjvIDZXphLi2JMa1LKLWkHsefQrngOskaXhBENhbaiYnQc3/XZzdaJStoXKmyOieaezL6ULiyHEk6Qk5Rnl1HU6HA6/bXx/XEI1Oz3nt4oNUCkVORsxEpYkc4W3OcVUanZwGKCMjIyPzu6RFjpXdbic1NTXi55E08n9vNGZEiip6ImJNTEtVARujoaP0j5X72FZkpkOyX7xgX5mFzYerpJQ6UVijsMpKqdke1kCNVPMkqsq1iTNQWGWVxCtaKiPf2BqKjmutzcXMhT/jdHvJTDTSKTWW/eX1LMsvla7nVBTVN+Z0itE7cdyy/FJsLo/kHDTWjynVpGNU9zZUWJx+wYcGka7WJvC+NeWATuybQUaC4YwYztEKnhi1ahKMmqjnF5jmKPZgCkxDdXp81Nr9Eb0r+rWjXaKR3OxE0tOjO35DpuRmMeXt4BYQDUVt9pdbqLa6sDrcKH1u4jQCiTrwuBwkxWgZ2iUl7O+KUaNGoVKpKCirZndRJR6XA0u9DZvNhl7pJStOHeTIlVTWYrPZ8Hlc6IyRU1qb41iptTo5DVBGRkZG5ndJixyrnj178sMPP/CnP/0p7OdLly6lf/9QiW2ZyMTp1Ww+XNViB6QxGjoA24trcXl8fLGtlFf/0D+oMaxoZIvpgzU2V1gjqSl1sGX5pRyqqEej8kc2WrtuDH51CP7w9iaqLE48AoANi8NDUow2ZNypOn9D8gprgnqDievZlLJa4DPQJc3E/DUHsTg8EY3U1k5xDH1OQo/fMDp0OvoWNawBayyy1pQTHW7OoiPj8vgYmJMctN6imiFAvcPN/Yu3M7ZXWqtfb+DzIb4wWLvvONVWF3qNDl2sjtTkGAqrrFSrlSzOKw6ZK8CQIUMYMmQICzYU4NxXAQhUW13YXF7Oaxcfov43+z9b+elINUkxWuZeFVl9ctKkSXTr1q3JerjiSjNWX8vqAmVkZGRONQsXLmTu3LkcOnSImJgYzGYzI0aMAJpuJbR27VpGjhzJmjVrpH3ORX4r1xENTzzxBHPmzAnbiPlU0SLHavbs2dx444306dOHadOmAeDz+Th48CBz5sxh06ZNIQ1CZRqnsbSykyXQGF6woYA4vYaKeifJMf5UM7GBcKAxlJudSH6RmfI6h2TQRjpmuM/yCmtweXyUmh20Twrta3SyBBrIWrUShUKBVgF6jYquaSaUCqQaq9NNoCgFwNzlu6UGs2KD6HBrF/gM5BXWUFRjZ/3BShS0DXue1k5xDCfR39jxT1ffooY1YI1F1ppyoiPPWUFanF6K6oY73tiXfsDicPPtrnJmj27d3niBDmGgOAqAy+PDpNewdv9x3B4fKbE60uP17Curi/giJtAh9LdBcIeIuWwvNrOjpJZ6p5fObbSNrltmZiaZmZmNXsNvuUGwjIzMuc/evXuZMWMGY8eO5cEHHwzbc1GmcUpLS3n77beZNGkS/fr1O9PTOStpkWN1ww03UFhYyKOPPsojjzwC+Bu2CYKAUqnkmWeeYdKkSa05z988pzJiFYhocFVYnOwoqeVf6ws4Pzsx6E22aCABaNUqSQUuWsR6J49PQHWil1VrpbOJcys12zFq1SzLL8Xl8ZGTEkNSjJYOyUa2FtWekqhCOJbkFflr5XqmSVG5ho7s/vJ6QKBvVuNGf8NoyxtrD2HQqEKk2iONbwmNGcNN1deFU2o8FTScx8lcd7ioHCDV5Ynbw0XEGlN4PFnCOYQT+2bw3voCDlXUc7TahtnmRqdSoFD4e9AZteqIL2IiRRYDEdMclQq/83aynC5HW0ZGJjwKjZ6k0beHbJPxs3btWnw+Hy+//HJQO6CVK1eewVmdfi6++GLsdjtarbbpwQ0oLS1lzpw5dOjQQXasItDiPlaPPPIIf/zjH1myZAkHDx7E5/PRqVMnJk+eTMeOHVtzjr8L6hweEoxaVu0up0vaqellBcH1ND8X1mB1eiivC+63k1dYw74yC9uKzEEpddEi1rm0OfGGXKNStpqxFRi9SDBqsLk8ZCfHEG/QcMfIzsxfc5B4g6bZzmBLWbW7nKIaO++sKwh73wIjB005Ag2N60u6p/LtrnKMWmVYx7Q1UhwbM4YbS3VsSkWwNWk4j+ZcdziRlYZROaNWjcNtw6j9Vcgl3JrMHt2t1SNVjdEnM4FDFfUU19hxenzEaFUIgt/Bs7q82FyeqBqKR1qvwKj01NzGo1HRIDcIlpE5syg1OkwDLj/T0zhrOX78OAAJCQlB21viYJzLKJVK9Pqzy+G2Wq3ExMSc6Wm0CsqT2bl9+/bcfffdvP7667zxxhvce++9slPVQnKzEzHbXFKt0+k43/nZiSTFaKl3eliSVxT0mdnmomuaiTYmHd3TTSzYUCC93QekJqCB2wL3TzBqmJqbyajubcjNTmw1Y0s89sS+Gdx0UQ4T+2bQLd3E6J5pvLe+gAPH67G5PKc88icyumcaXp9A+yQDy/JLQ9akT2YCj0zoySMTekqKgJHWrSFd0+Pok5mASa85Zc+EuJ7NuT+B+zTnes4E4kuC+WsOSnMMnLN4LaN7pknX1JI1OdUkGjVc0CGJRyb0IN6oxahVk5Hgl3OPZv23F5uZu3w3c5fvlsb2yUzg5qE5jOmVTpe0yC0DoqVPZgI3XZQjR6tkZGSapKSkhFtuuYWMjAx0Oh05OTn8+c9/xuVySWMOHz7MtGnTSEpKwmg0MnjwYJYvXx50nLVr16JQKPj000+ZO3cumZmZ6PV6LrnkEg4e/LVfYIcOHXj88ccBSE1NRaFQSE3aR4wYEVJrVFxczKRJk4iJiaFNmzbcfffdOJ2hKq0AmzdvZuzYscTHx2M0Ghk+fDgbNmwIGvPEE0+gUCg4ePAgM2bMICEhgfj4eG666aawbTI+/PBDBg4ciNFoJDExkYsvvjgksvbNN98wbNgwYmJiMJlMTJgwgV27djW+8AFrFlhTNmLECHr37s3u3bsZOXIkRqORdu3a8fe//z1ovwsuuACAm266CYXCn0ER2CS4OWuxe/durrvuOhITExk6dCgvvPACCoWCwsLCkDk/9NBDaLVaamr8ttC6deuYNm0a7du3R6fTkZWVxd133x2V0FJlZSV79+49qfYkjdHiiJVIfX09NTU1YQvD2rdvf7KH/90QKFd+Ogy6PpkJvHRtf25f+DM1NneQHHqfzARJDr57uolVu8slhbtAtbSmIh3bi82tHjmKlOKUV1jDjpJaPF4f7RJiT4lYRiCB575tWA6L84r58XAVvTLipXmGoznpUk3VubUGkaIZjaUIBj4D+UVmamyuoCbYZwtiSmphlZXs5BhpzQPvQSRH4ExdS8N1nzGkQ0iqaWNS/pGOOX/NQY5bnJgC2iuI9+9otY2Vu8pa3DNNRkZGpjmUlpYycOBAzGYzM2fOpHv37pSUlLB48WJsNhtarZby8nKGDBmCzWZj1qxZJCcn88EHH3DFFVewePFirrrqqqBjPvvssyiVSu69915qa2v5+9//zvXXX8/mzZsBeOmll/j3v//NF198wRtvvEFsbCx9+vQJOz+73c4ll1zC0aNHmTVrFhkZGSxcuJDVq1eHjF29ejXjxo0jNzeXxx9/HKVSyYIFCxg1ahTr1q1j4MCBQeOvvvpqcnJymDdvHr/88gvvvvsubdq04bnnnpPGzJkzhyeeeIIhQ4bw5JNPotVq2bx5M6tXr2bMmDGAX4Tjxhtv5LLLLuO5557DZrPxxhtvMHToULZu3UqHDh2afV9qamoYO3YskydP5uqrr2bx4sU88MADnHfeeYwbN44ePXrw5JNP8re//Y2ZM2cybNgwwC+a1JK1mDZtGl26dOGZZ55BEAQuv/xy7r//fj799FPuu+++oLGffvopY8aMITHRbx9/9tln2Gw2/vznP5OcnMyWLVt49dVXKS4u5rPPPmv0Ol977TXmzJlzysQ7WmStORwO5syZw7/+9a+wfaxEvF5viyf2e+RUqdeFQzTOEo0ajlTZuLBjUtD2UrOdBKOWpdtK0amVJMW4uW7Qr45yNGk/orIgCKek7qKh0p7ohJzqaFVDOfVSs53jFidqpUJSAhTHNZTxbk66VJ/MBPpmJZwyGf5INLy+SOmA+8osbC0yk9yCdNHTgZjm17tdvCQRD2d3ylpDR0lsyyBG2RqqGQaKojR2zASjllq7m65ppiCHrLzO0eyeabJIhYyMzMnw0EMPUVZWxubNmzn//POl7U8++aT0kv7ZZ5+lvLycdevWMXToUABuu+02+vTpwz333MOVV16JUvlr0pXD4WDbtm1SWl9iYiJ/+ctf2LlzJ71792bSpEls27aNL774gqlTp5KSErln6Ntvv83+/fv59NNPJYG22267jb59+waNEwSB22+/nZEjR/LNN9+gUPj7av7pT3+iV69ePProoyFRpv79+/Ovf/1L+rmqqop//etfkmN18OBBnnzySa666ioWL14cdI3i2tTX1zNr1ixuvfVW3n77benzG2+8kW7duvHMM88EbY+W0tJS/v3vf/PHP/4RgFtuuYXs7Gz+9a9/MW7cONLS0hg3bhx/+9vfuPDCC7nhhhtOai369u3Lxx9/HLRt8ODBfPLJJ0GO1U8//cThw4elCCPAc889h8FgkH6eOXMmnTt35uGHH+bo0aNnNLDTIsfqjjvu4IMPPmDSpEkMGzZM8iBlzh1+raOqpV9WAvEnjOjA+hmzzYVOrcTjE+jdLr7ZdS7NqS9qCYH9oXIbCHCcSvIKa/AJsK3IzAUdEikF1EoFTo+P0T3Tggzf/eX1uDxeSRq7ualSDXtgnQ5D9r31BewoqSUpRhvkTAcSp1ez6XAVCAI6tfKMKDA2ZeCLDoSoxChyOl9gNJdITp94T/KLzLx0bX+W5ZeyYscxbC4v8QYN3dMj12WKx7puUPuQ+rKpuZmsO1DZrKioLFIhIyPTUnw+H0uXLmXixIlBTpWIaJCvWLGCgQMHSk4VQGxsLDNnzuShhx5i9+7d9O7dW/rspptuCqqVEqMphw8fDhoXDStWrKBt27ZMnTpV2mY0Gpk5cyb333+/tG3btm0cOHCARx99NCTIcMkll7Bw4UJ8Pl+Qc3T77cHiIsOGDeOLL76grq6OuLg4li5dis/n429/+1vQfoFrs2rVKsxmM3/4wx+orKyUPlepVAwaNIg1a9Y063pFYmNjg5wlrVbLwIEDOXz4cJP7tsZaAFxzzTXMnj2bQ4cO0alTJwA++eQTdDodV155pTQu0KmyWq3Y7XaGDBmCIAhs3bq1UcfqiSeeCHLSWpsWOVaff/45t956K2+99VZrz0fmNJGbncjmw1W0TzIGRVkCjdED5Rbe33gELdA9vfk1GKfagG2Y1gWcljfp4tr1y0qQUh21aiUxOnWY1EcBp8fLf3eVtUhNruE1ng5DtrzOgVrp/wUurmvD89Y5PCTH+KMgDZ3u00VT6xLN89fS6MupitqEm/P2YjPbisw43F7K6xxsLzazs6QWt9eH3e1Fp1YGpfJGc8zAbXUOT7OiomdzxE9GRubspqKigrq6uiadncLCQgYNGhSyvUePHtLngcdoaEiLL/zFmpzmUFhYSOfOnSVHRqRbt2DxogMHDgD+SFEkamtrg4IPjc0zLi6OQ4cOoVQq6dmzZ8RjiucdNWpU2M/j4uIi7tsYmZmZIdecmJjI9u3bm9y3JWuRkxMqfjVt2jTuuecePvnkEx5++GEEQeCzzz5j3LhxQdd19OhR/va3v/HVV1+F3OPa2vBKyqeLFjlWCoWCAQMGtPZcZE4xDY3BwJou0cgKNLjyCmvQqJSU1zlYnFfcIrXCU502JBp5cXp1k+lrrUXg2omy77E6NVq1Kmic2Oh15a4ynB6BL7aVcqTKRqpJx8S+GVGnXYlRv2gU4FqDqbmZrNpdjl6jiui4BEYjz2S/sGgN/EjPYUud1tPp7OYV1tA1zcTRahtTczPJK6zBpNdg0KrJTDTg9groNapGI5otkdWPxNkc8ZOR+T3jtdVS+u6fg7Zl3PoGKmP8GZrR6UOlUoXdfiobw/p8/jYVzz//fETp8djY2KCfW2Oe4nkXLlxIenp6yOdqdctqsk9mbi1Zi8Cok0hGRgbDhg3j008/5eGHH+bHH3/k6NGjQTVoXq+X0aNHU11dzQMPPED37t2JiYmhpKSEGTNmSHM5U7Ro9a+88kq+++47/vSnP7X2fGROIY0Zg+EMr9zsRD7/pZh6p4dqq6tFRuSpNkAD5eMTjNqg6NupJFCgQ0ypathkWRwTp1fzzroC9GolO0pqyUw0RL0eeYU1WBwezDZXk2Nbi8C6nkgGd8PrF7edTqI18BurGWtp9OV0Rm3Ec1zWy9/IO06vxuJwkxyjpX2SEYfbi16javSZaomsfkuQ669kZM4sPnvdmZ5Co6SmphIXF8fOnTsbHZednc2+fftCtu/du1f6/FSRnZ3Nzp07EQQhKILTcD5iqlpcXByXXnppq5y7U6dO+Hw+du/eHdFBEc/bpk2bVjtvtDSMaIm05lpcc8013HHHHezbt49PPvkEo9HIxIkTpc937NjB/v37+eCDD5g+fbq0fdWqVSd13taiRXLrjz32GIcPH2bmzJnk5eVRUVFBdXV1yH8yZxcNZaQDja2GKXUisTo16XF6kmK0LW7Ieqqlq8WojkmvZnTPNPIKa06L/HegETklNyti/VSXNBPDuqTQo20c57WLlwQEojl+fpGZHw9X4ROE0yLDH0g08tmRnpuzCVG8IZzT3VKJ8FMtLR4oCS+eKzBlr3c7/xvobUVmfAIUVlkpNdtDnnvxOHF69WmRkD8XngcZGZkzh1KpZNKkSSxbtoyff/455HMxOjJ+/Hi2bNnCpk2bpM+sVitvv/02HTp0aDRV7mQZP348paWlLF68WNpms9lCBCFyc3Pp1KkTL7zwAvX19SHHqaioaPa5J02ahFKp5MknnwyJvIhrc9lllxEXF8czzzyD2+1ulfNGi9hrymw2B21vzbWYMmUKKpWKRYsW8dlnn3H55ZcH9bgSI2uBkTRBEHj55ZejOv5ZKbfepUsXALZu3RqkbtIQWRXwzBOuQapIw7fuDd/A5xXWBDXfbYkReTrShkT1twSjRjI+T1eK1r4yCyt3ldG7XXzE9D4x6uRwe4PWsam3+3mFNdTY3CTFaFAqFGdlTcuZENdoLoH1g2fj/MIRLsIU+H3NzU5kZ0ktOrWSY7V2YnVqLA5PyHMfKEZzOpo5y/VXMjIyTfHMM8+wcuVKhg8fzsyZM+nRowfHjh3js88+Y/369SQkJPDggw+yaNEixo0bx6xZs0hKSuKDDz6goKCAJUuWhAg7tCa33XYbr732GtOnTycvL4+2bduycOFCjEZj0DilUsm7777LuHHj6NWrFzfddBPt2rWjpKSENWvWEBcXx7Jly5p17s6dO/PII4/w1FNPMWzYMCZPnoxOp+Onn34iIyODefPmERcXxxtvvMEf//hHBgwYwLXXXktqaipHjx5l+fLlXHTRRbz22mutuSQSnTp1IiEhgTfffBOTyURMTAyDBg0iJyen1daiTZs2jBw5khdffBGLxcI111wT9Hn37t3p1KkT9957LyUlJcTFxbFkyZKo6+nOSrn1v/3tbxHDgTJnF02lAIljcrMTQwyvOL0as81FolHD/DUHg3rpREtrpQY1p0bkdKZobT5chdPjI6+wmqJqW1gHVBwnNn+OpheYuF9gHdPZ6BQcKLew7kAl7ZOiT2883ZyLNUHhHBTxOpbkFbFqdzlatZL0eAMuj5fs5JiwEbnT7eici2stIyNzemnXrh2bN2/mscce46OPPqKuro527doxbtw4yXlJS0tj48aNPPDAA7z66qs4HA769OnDsmXLmDBhwimdn9Fo5H//+x933XUXr776Kkajkeuvv55x48YxduzYoLEjRoxg06ZNPPXUU7z22mvU19eTnp7OoEGDWlwu8+STT5KTk8Orr77KI488gtFopE+fPpIMOsB1111HRkYGzz77LM8//zxOp5N27doxbNgwbrrpppO6/sbQaDR88MEHPPTQQ9x+++14PB4WLFhATk5Oq67FNddcw3fffYfJZGL8+PEhc1i2bBmzZs1i3rx56PV6rrrqKu68884QSfwzgUI4lZV95yh1dXXEx8dTW1vbYnWVQM5k3UFT516woQCzzU2CURPiWImf/XdXGS6Pj3qnhwfGdmuWc9XY8ZtDNMc5E+u8vdjMsvxSdpbUkp0cQ7d0U9j5vbRqH9/uKmdsrzRmj+52xuYbDQ3n1dg8b1/4M0U1drw+gb9P7XNWXcdvFbGpd2W9E41KSf+seLqmx511z1FLae3fv78V5HX5fdDhweUt3tdrq6X41euDtmXe9dEpE6848uypdXBkZM4mov0d3Cqx1NraWjntrxHOZN1BU7UgcXo1+8rqwvawEeujxvZKo97pIVanYtXu8madv7VqrJo6jihQsK/MclrXuU9mAo9M6MlD43vQLT1y7dTeMgvxBk2QHPupqtMJrM9pCeEk7MM9v9uLzeg1KuL0asb2On21bb93Eo0aCiqtOD3+HlY1NvcprfeSkZGRkZGRiY4WO1Y///wzY8eOxWg0kpyczPfffw/4i8KuvPJK1q5d21pzPOc5HQIOLaXO4aFbelzYHjZ9MhPIzU4k3qjluoFZpMXpJVnnaGkt56Gp4zQmUHCqWZJXxPw1B4nTqyPOb3TPNBKNGkb3bH4vq+bSEkc+0Blr+LxGen7FGrwxvdKJN2rZV2Zh/pqDZ51zFcnRPFkHtLWJdj41Njc5KTEkGrUkGv3NgRdsKGBJXtFZdT0yMjIyMjK/N1rkWG3cuJGhQ4dy4MABbrjhhiDlkpSUFGpra+XmwScIl1Y1d/lu5i7ffVYYQE05faKRHm/UMqZXOtnJMWeN4ldDZ6BbuqnFIhsnw6rd5dTY3I1G87qkmRjUMZkuac1vtNxcWuLIN6z3CnRiIzm1cXo1WwqqyC8yS/V4Yh3Z2URDR1N8bpbll55VCnbhHOJwzpbopM8Y0oE7RnZmc0E1/9lylFdXH2TToaqz0rmVkZGRkZH5PdAi8YqHH36YHj168OOPP2KxWHj33XeDPh85ciQffPBBq0zwXKehwZpXWMP+8npAOCuK/ZsqNg9swCumsZ2uRrVNEbi2ZyIVSqyvsru9KBU0Go1all/K/vJ6Ss32Uz7PlggItETkoM7hwenxsaOkllSTLqjh9NlE4DO8YEMBpWY7FoeHwiorvdvFnzXPc7h7EE7gROwzBjB3+W6OVtuod3pJj9NxtNpGv6yEs+J3i4yMjIyMzO+NFjlWP/30E/PmzUOn04XVq2/Xrh1lZWUnPbnfAg2NpUClt7PNAA2HaKTPXb6b/eX1dE2LPWsMtjMt7fyrkwxjeqVHIepx9urEtNQZW7mrjHiDpsXHOB0ENpEWpcfNNhfZyTFkJBjOmjmHW7+mnvEKixOAlFgtF3dNJUarYm+ZJWzNpIyMjIyMjMyppUV/fTUaTUjjskBKSkqIjY1t8aR+SzQ0ls5W47MpKixODh63UG11ntZ+RY0p0p3ptWzoJDc214l9M1rsBJ6t6oF9MhN4aHwPluWXApy1faxERCdFjFCdjdG1hkR6xsVnAqBzGxNd02J5ZEJPFmwoiFgzKSMjIyMjI3NqaVGN1eDBg4M6UgditVpZsGABw4cPP6mJ/ZY524rmoyHVpEOvUaFRKU9rTcqZVFRsClER8JEJPaU0z0hzFYVAWqKcd7avQYXFyYodx3jkix1n9TMdWCt2qhQZTxfiM5Fq0jGiWyoT+2YAjat8ysjIyMjIyJxaWuRYzZkzh59//pkJEybwzTffAJCfn8+7775Lbm4uFRUVPPbYY6060d8SZ4uh3BwHr3u6iTYmHe2TjFKtyukwos9mRcWGhJtr4Bq39L6f7WtQXufA5vJSY3Wd8Wf694L4TEzsmyH1TVuwoYC9ZRY5YnUS7Nq1i2nTptGxY0eMRiMpKSlcfPHFLFu2LGTsnj17GDt2LLGxsSQlJfHHP/6RioqKkHE+n4+///3v5OTkoNfr6dOnD4sWLTodlyMjc85hNpuZOXMmqampxMTEMHLkSH755Zeo9/f5fLzxxhv069cPg8FAcnIyo0aNIj8/P2jcsWPHmDlzJjk5ORgMBjp16sQ999xDVVVVk+dYsWIFTzzxRHMv7aSI9vdNOO6++24GDBhAUlISRqORHj168MQTT4Qt5XE6nTzwwANkZGRgMBgYNGgQq1atiuo8GzZsYMCAAZhMJkaMGMHevXtDxsyaNYvLLrus0eP89a9/pWfPnlGd82ykRa81Bw0axIoVK/jzn//M9OnTAf9CAHTq1IkVK1bQp0+f1pvlb4wzXRskEq4wPhJ7yyw4PV7K6xx8lV9KcY2d/CIzL13b//RM9hwgXNpW4Bq39L6f6ZTHppiam8nivGLS4vRn/Jn+vRD4TGwvNjNvxR6cHh/tk4ykmsDm8pz1qZlnI4WFhVgsFm688UYyMjKw2WwsWbKEK664grfeeouZM2cCUFxczMUXX0x8fDzPPPMM9fX1vPDCC+zYsYMtW7ag1WqlYz7yyCM8++yz3HbbbVxwwQV8+eWXXHfddSgUCq699tozdakyMmcdPp+PCRMmkJ+fz3333UdKSgrz589nxIgR5OXl0aVLlyaPcfPNN/PRRx8xffp07rzzTqxWK1u3buX48ePSmPr6ei688EKsVit33HEHWVlZ5Ofn89prr7FmzRry8vJQKiPHHVasWMHrr79+2pyr5vy+CcdPP/3EsGHDuOmmm9Dr9WzdupVnn32W7777jh9++CHoWmfMmMHixYuZPXs2Xbp04f3332f8+PGsWbOGoUOHRjxHbW0tV155JYMHD2bmzJm8//77TJkyhe3bt6NSqQD/i6t33nmHvLy8Rue7fPlyJk6c2IwVOrtQCIJwUhX127Zt48CBA/h8Pjp16kRubi4KhaK15ndG+K13uBejJ3F6NXUOT9jancC6HoB5K/awt8yCy+vD4/WhVSnpkBLDsruGndK5ioIDCUaN9Gb+XOJsrY+S+e0wd/luVuw4hkKhYFzvdAD2l9eTaNTQNyvhnHv2zrbfv16vl9zcXBwOh/QG9o477uD9999n7969tG/fHoDvvvuO0aNHBzlgJSUl5OTkMHPmTF577TUABEFg+PDhFBQUcOTIEcnoaIqzbV1kTg0dHlze4n19Lgd1W5YEbYsbOAWlVn+y0wrLkWcntOrxPv30U6655ho+++wzpk6dCkBFRQVdu3Zl3LhxfPzxx1Ht//nnn3PVVVdFHPfxxx9z/fXX8/XXXzNhwq/X8Pjjj/Pkk0/yyy+/0L9/5JfGd955J6+//jonaT5HTbS/b5rDP/7xD+699142bdrE4MGDAdiyZQuDBg3i+eef59577wXA4XDQu3dv2rRpw8aNGyMe79tvv2XKlClUVVWh1+s5cuQIOTk57N27l27dugEwevRoevTowSuvvBLxOIcPH6ZTp06sWbOGESNGNPu6ArFarcTExJzUMQKJ9ndwixsEi/Tr149p06ZxzTXXcP7555/zTtXvATGKUufwRKwzCYy0iI1gwf/AKFGgVavolHrqBUrO9jS4pjjXa3mi4VysGTwXibTOojJg4onUwAqLk+IaG4cq6s+KlONzHZVKRVZWFmazWdq2ZMkSLr/8csnIAbj00kvp2rUrn376qbTtyy+/xO12c8cdd0jbFAoFf/7znykuLmbTpk2n5Rpkfh8otXoShl4f9N+pcqpOBYsXLyYtLY3JkydL21JTU7n66qv58ssvcTqdje7/4osvMnDgQK666ip8Ph9WqzXsuLq6OgDS0oJbpLRt2xYAg8EQ8RwzZszg9ddfB/zfZfE/EavVyl//+leysrLQ6XR069aNF1544aScsGh/3zSHDh06AAT9Xlu8eDEqlSrIUdPr9dxyyy1s2rSJoqKiiMez2+3o9Xr0ev/zlpSUBIDNZgNg6dKlbN26lTlz5jQ6r+XLlxMfH8/QoUNZs2YNCoWCL774ImTcxx9/jEKhkH6Hzpgxg9jYWA4dOsT48eMxmUxcf/31TS/EKeCkHSuZc49onJXAMWLz3bG90ojRq0mK1TKsSwo3Dz31EaSz3TGRnYqzp2bwt06kBsKHKupRKBQkxfzanDkz0Uin1Nhz+qXEmcRqtVJZWcmhQ4f45z//yTfffPP/7d13VBTn1wfw71CkSEekKqJYYkUQEbuxS4xGRY0aa9RIbLGjsWBXYkn0Z4sGjBJrNNYk2KMYe4uxKyBVlK509r5/+O6EdUFh2WV34X7O8ST7TNm7s8Ps3HkaOnbsCOBtLVRCQgKaNWsmt13z5s1x8+ZN8fXNmzdRuXJlfPTRR3LrSZczxt66efMm3N3d5ZrhNW/eHBkZGXj06FGR26alpeHKlSvw9PTE7NmzYW5uDhMTE9SsWVMu+Wjbti10dHQwadIkXLp0CdHR0Th+/DiWLFmC3r17o169ekW+z9ixY9G5c2cAwI4dO8R/wNva6E8//RRr1qxBt27dsHr1atStWxfTp0/HlClTFDomJbnevE9eXh5evXqF2NhYhIaG4ttvv4Wpqal4LQLeHv86derI1cZI17l161aR+2/atClSU1OxatUqREZGYv78+TA3N0fdunWRnZ2NqVOnIiAgAJaW7/89On78ODp37gw9PT20b98e1apVQ0hIiNx6ISEhqFWrFry9vWU+Y9euXVG1alV899136Nu3b3EOjdLx0FEVUHH67BQ2THxQWDgevniN1My3o5FparJTlq5HJuNhfDouP0uEXwfXCnlMCvYd07Smj5oWT0m8G3tREwjr6+rAQE8HOXkScaRAbWwCqEmmTp2KzZs3AwB0dHTQp08fsSlfXFwcgP+ebhdkb2+PpKQkZGdnw8DAAHFxcbC1tZVrySHdNjY2tsgYsrOzZZ7QS5+yM1ZexcXFoW3btnLlBf9eGjVqVOi2T58+BRFh9+7d0NPTw8qVK2Fubo7vv/8eAwcOhJmZGbp16wYAqF+/PrZs2YJp06bJ3JgPGzYMW7dufW+M3t7eqFOnDk6cOIEhQ4bILDt8+DBOnz6NxYsXY86cOQCAr7/+Gr6+vvj+++8xfvx41KpVq/gHBCW73rzPtWvXZD5r3bp1cfjwYbFmSfpeRb0P8P7rVY0aNbB8+XLMnDkT06ZNg5GREbZt2wZjY2MsXboUxsbG+Oqrr94bY0ZGBs6ePYuNGzcCeFsjOGTIEKxevRqpqakwNzcH8LZ5aGhoqHiMpbKzs+Hr64tly5a9931UjWusWLF5OFvCQE9HnBCWvT0mKRk5sDCuVCFrbO5Ep+DI7VjEpmRi1+VIfLn9Gv64G6cxx6I4tWmaWOt4JzoFG848wcP4dDH2wmpvpTXKjRzNYWtmiIycPHGkQE6qFDd58mScOHEC27dvR/fu3ZGfn4+cnBwAb5u8ACj0RkbaDEa6TmZmZrHWK8yyZctgbm4u/qtW7UMTkDOm3Urz9yId4S4xMRGHDh3CuHHjMGjQIJw6dQrW1tZYvHixzPqOjo5o3rw51q5di4MHD2LKlCkICQnBrFmzFI7/+PHj0NXVxcSJE2XKp06dCiISR9EuiZJcb96nfv36OHHiBH777TfMmDEDlStXlhsVsDTHHwCmTZuGmJgY/P3334iJicHnn3+O2NhYLFu2DGvXrkVeXh4mTJiA6tWro3nz5ggLC5PZ/vTp08jOzkb37t3FsqFDhyI7O1tmiqc9e/YgLy9PLrEFgHHjxn3wWKga11ixDyr45Ny/x0caMaKhpmjsZAG/Dq7iYCBBYeEyNQXaXGNSHNcjk/HoxWsAhPtx6cjJy8e/sWno30wzbgKLMxJjSUbHLCvXI5NhYVwJKRk5741dWrMcFBaOh/HpuPQsEXdjUtHPwwl9PTTjO9BG9erVE5sDDR06FF26dEHPnj1x+fJlsf9FYf09srKyAPzXR8PIyKhY6xXG399fpvlQWloaJ1dM6+Xk5CApKUmmzMbGBrq6uqX6e5Euc3FxgZeXl1huYmKCnj17YufOncjLy4Oenh7CwsLwySef4NKlS2ITu969e8PMzAwBAQEYOXKkQsN9R0ZGwsHBAaampjLl0qbAkZGRRW77+vVrmURHV1cXNjY2JbrevI+ZmRk6deoEAOjVqxd++eUX9OrVCzdu3ECTJk3E/ZT2fWxtbWX6rs2cORMdO3ZEx44d8e233+LUqVPYs2cPzpw5Ax8fH0RERMDCwgLA2/5VzZo1k9m+Xr168PT0REhICEaNGgXgbTPAFi1awNXVVea99fT04OTk9MEYVY1rrMqYJj4d/5B3bzz5abgsaTOtE/deyNQwAOW//5GHsyXq2Jqgjq0pOtazQSU9XTRw0Jx5lIpzvmriACnSfo3FbV4qrTl9kZaNB/HpCL4YoXXXGU3Wr18/XL16FY8ePRKbxUib6BQUFxcHKysr8amvvb094uPj5TquS7d1cHAo8j0NDAxgZmYm848xbXfx4kXY29vL/JMOimBvb1/k3xXw/r8X6bJ3B6QAgKpVqyI3N1cczGLz5s2wtbWV67f06aefgojeO/qdqnz33Xcyx8TT0xMASnS9KQnpACG7d+8Wy0pz/Atz6dIl7N+/H6tWrQIA7Nq1CzNmzIC3t7fYD+7o0aPi+sePH0ePHj3k9jN06FCcO3cO0dHRePr0KS5dulRobZWBgcF7h8kvK1xjVcY08en4h7zbh+anC+F4kZbFT8ULKKqGQVPmLFOVd/vi/Xo9CifuvYCZofZcWjRxnrCSxiStOZ1z8B8kv3nbZE3brjOaTNoEJjU1FXXr1oWNjQ2uXbsmt96VK1fg5uYmvnZzc8PWrVtx//59mSfgly9fFpczpiz5mel4ETJTpsx28AroGpkWsUXZa9KkidyEs3Z2b6eJcHNzw/nz5yGRSGRukC9fvgxjY2PUqVOnyP06ODjAzs4OMTExcstiY2NhaGgo1iS9ePEC+fn5cuvl5uYCeDsIwvsUNfq1s7MzTp48ifT0dJlaK+k0Dc7OzkXuc+jQoTLzRElrhxwdHYt9vSmJ7OxsSCQSpKamimVubm44c+YM0tLSZB7kKHK9IiJMnDgRkyZNEvuVxcbGyiRnDg4O4vd19+5dPH/+XGb4e6mBAwdiypQp2LVrFzIzM6Gvr48BAwaU6POWpWKldjo6OtDV1S3xPyZPE5+Of0jBp/7XI5PxT0wqYlMyceLeC3WHpjGKqmGoaDV8aVl5sDCuhBP3XmhtbYk21ipLtahpje6N7DG8ZQ2tu85ogoKTiErl5ubi559/hpGRkZgc9e3bF0ePHpUZfvjUqVN49OgRfH19xbJevXpBX18fGzZsEMuICJs2bYKjoyNatmypwk/DKhySIDfxucw/kETdUcmwtLREp06dZP5J+/D069cPL168wIEDB8T1X716hX379qFnz54yNTNPnz7F06dPZfY9YMAAREVFySRur169wqFDh/Dxxx+LyVqdOnXw4sULnD17Vmb7Xbt2AcB757ACIM6NVHCocgDo0aMH8vPzxYFupNasWfN2nsECfYfeVbNmTZlj0qpVK3FZca83ubm5ePDggUytU0pKipgwFiQdpKNgrV2/fv2Qn5+PLVu2iGXZ2dkICgqCl5dXiZoiBwcHIyoqSmaACVtbWzHJzM3NxZMnT8Sk+vjx44XWIgJAlSpV0L17d+zcuRMhISHo1q0bqlSpUuxYylqxHivPmzdPLkM/ePAg/v33X3Tt2lWc/OvBgwcIDQ1Fw4YN0bt3b6UHWx5o4tPxdxXVL+hOdApiUzLhZGmEnDwJOteXr3KvqLThey0LHs6WuPwsURzMQxuPiTbWKgNv4zaupAcLY32uSVbQ2LFjkZaWhrZt28LR0RHx8fEICQnBgwcPsGrVKpiYvJ27b/bs2di3bx86dOiASZMm4fXr1wgMDESjRo0wYsQIcX9OTk6YPHkyAgMDkZubC09PT/z22284f/48QkJC+AEkYwX069cPLVq0wIgRI3Dv3j1UqVIFGzZsQH5+vtz8R9LpDyIiIsQyf39/7N27F3379sWUKVNgbm6OTZs2ITc3F0uXLhXXGz9+PIKCgtCzZ09MmDABzs7OOHfuHHbt2oXOnTvL9NEqjIeHBwBg4sSJ6Nq1K3R1dTFw4ED07NkTHTp0wJw5cxAREYEmTZogNDQUhw4dwuTJk0s8IqBUca83MTEx+OijjzBs2DAEBwcDAM6ePYuJEyeiX79+qF27NnJycnD+/HkcOHAAzZo1k2lS5+XlBV9fX/j7+yMhIQGurq7Yvn07IiIisG3btmLHm56ejtmzZ2Pp0qUyNXf9+vXDwoULIZFIEBYWhqysLLHp37Fjx9C9e/ciawOHDh0qThq9aNGiYseiDsVKrBYsWCDzesuWLUhISMDdu3fFpErq/v37+Pjjj0vcFpNpjqJuLK9HJiM9Kw9G+rqY2qWuVt10srJTzcoYALS2tkRbm296OFviyO1YZOTk4U50Cv99KmDAgAHYtm0bNm7ciMTERJiamsLDwwMrVqzAp59+Kq5XrVo1nDt3DlOmTMGsWbNQqVIl+Pj4YNWqVXL9HZYvXw5LS0ts3rwZwcHBqF27Nnbu3IlBgwaV9cdjTKPp6uri+PHjmD59On744QdkZmbC09MTwcHBcveahbG1tcWFCxcwbdo0rFmzBrm5ufD29sbOnTvFARqAt0ONX79+Hd9++y127tyJ+Ph4ODg4YNq0aR+cwBZ42z9pwoQJ2L17N3bu3AkiwsCBA6Gjo4PDhw9j3rx52LNnD4KCglCjRg0EBgZi6tSpCh+Xklxv3tWoUSN06NABhw4dQlxcHIgItWrVwrx58zB9+nRUqlRJZv2ff/4Zc+fOxY4dO5CcnIzGjRvj6NGjhQ6DX5RFixbByckJw4cPlykPCAjAy5cvERAQADs7O+zfvx82NjZITU3FxYsXMX78+CL32bNnT1haWkIikchcizWRQApMB127dm2MGDECs2fPLnT5kiVLEBwcjMePH5c6QHVIS0uDubk5UlNTK2SH4XdrrKSvUzNy8Me/L1DdygjetapgRCvVTxDMtEtQWDhSMnJhYazP54calIfjX9Gvv0Xh41Ix1Jh1TOFt8zNSEb1usEyZ04QQ6BqblzasQkUsl+8Pw1hJ7d27F4MHD8arV6/EuarelZeXBwcHB/Ts2bNEtWfKVNxrsEI9zKOjo6GvX/RcRvr6+oiOjlZk10wDvNus7cjtWDx68Ro5eflwq2bxwSGgWcVSMBHnWhP10tbaNsYYYxWThYUFfvjhhyKTKgD47bff8PLlSwwdOrQMI1OMQolVw4YNsWHDBgwaNAiOjo4yy6Kjo7Fhw4YiZ8dm2opga2aIunam5XZOJmUq7/NXFXQ9MhkP49Nx+Vki/Dq8nVfi0YvXOHI7ttx/dk3Dff0YY4xpky5duhS57PLly7hz5w4WLVqEpk2bol27dmUYmWIUSqzWrFmDrl27ok6dOvjss8/ESboeP36M3377DUSEnTt3KjVQpj49mzjgyO1YAICZoR6O3I7Fkdux6NnEgW/iilCcARDKS/L17oAVL9OzEZ2cAUvjomu1mfKVl/OJMcYYA4CNGzdi586dcHNzEwfk0HQKJVatW7fG5cuXMXfuXBw8eFCc48PIyAhdu3ZFQEAA11j9v/JwsyMdZj0lIxf7r0cjIT0b5kb6cLAw0trPpGzvfs/FaZKlLaPPfegcls6hJF3ndlRKmcfItOd8YowxxoojODhYaxIqKYVn8WzYsCEOHjwIiUSCly9fAgBsbGw0YtZjTVJebnakiYKtmSGy8/JhoKfD/TgKePd7Lk6TLG3pD1Occ1hafj0yGckZbyeofZ70Bl/tuIbO9W15+O8yoC3nE2OMMVZeKZxYSeno6MDQ0BAmJiacVBWivNzsSBOF8lADpwqKfM/a0h+muJ9NmoAlvXmbWMWlZkFfVxcn7r3gxKoMaMv5xBhjjJVXCmdC165dQ7du3WBsbAxra2ucO3cOwNtZrnv16iU3o3VF1djJAiNauZSbG57y9nmUpTwfl+J+Ng9nS1gY66OWjQmcLI1gb26I1Mxc1LMzfe92jDHGGGPlgUKJ1cWLF9G6dWs8fvwYQ4YMgUQiEZdVqVIFqamp2Lx5s9KCZIxprjvRKQgKCwcAjGjlgpGtXdC+blWYGuojN1+CiMQMNUfIGGOMMaZ6CiVWs2fPxkcffYR79+5h6dKlcss7dOiAy5cvlzo4pnzSm+A70SnqDqVc4OMp2wdL2lTUzFAPkYkZeJOdhxdpWeoOkTHGGGNM5RRKrK5evYoRI0bAwMAAgiDILXd0dER8fHypg2PKV/AmmJUeH8//mgBK+2I9jE/Hj+fDYWtmCAvjSujn4aTuEBljjDHGVE6hwSv09fVlmv+9KyYmBiYmJgoHVR5o6iAP5WEwDU06tuXheJZWwUETHr9Ix62oFJgb6cHSWB9zfD5S+3fEGGMVgaCrD5OmPnJljLGyo1Bi1aJFC+zfvx+TJ0+WW/bmzRsEBQVpxezIqqSpw6yXh5HD3j226ky0lHk8NSlhVFRaVh7cqlkgJSMHnevb8mTSZaQ8nDuMsdLRMTCGdZdx6g6DsQpNoaaAAQEBuHbtGnx8fPD7778DAG7fvo2tW7fCw8MDL1++xNy5c5UaqLYp2DyKKde7x7a8NMcrD5/Dw9kSde1M0bm+LU7ce4HQf1/gwI0Y/HQhXN2hlWvl4dxhjDHGtJ1CiZWXlxeOHz+OJ0+eYOjQoQCAqVOnYsyYMcjPz8fx48fRuHFjhQLKzs7GzJkz4eDgACMjI3h5eeHEiRPF2vbkyZPo0KEDqlSpAgsLCzRv3hw7duxQKI7SKs/Db6vbu8e2vCSx6vgcyh58Q/rdpGXlwcK4EtKycqGvK/AAFipWXv4GGGOMMW2m8ATBH3/8MR4+fIhbt27h8ePHkEgkqFWrFjw8PAod0KK4hg8fLjYzrF27NoKDg9GjRw+cOXMGrVu3LnK7w4cPo3fv3vD29saCBQsgCAL27t2LoUOH4tWrV/jmm28Ujqmkfr0ehRP3XqBzfVueGLUMlIfmjYB6PoeqmqyaGeohJSMHnjUs8TwpEzWsjREUFs5N1VSkvPwNMMYYY9pMICJSdxBSV65cgZeXFwIDAzFt2jQAQFZWFho2bIiqVavi4sWLRW7bpUsX/Pvvv3j27BkMDAwAAHl5eahXrx4qV66M27dvFzuOtLQ0mJubIzU1FWZmZiX+HJ9v+RuxKVlwsDDErjHeJd6efRj3KVEOZR9H6f7OPkxAdHImsvPyYaCnC+NKuvi4ni0sjPUxopVL6QNn5VZpr7/lFR+XiqHGrGPqDqHYIpb7fHglxsqJ4l6DFaqx0tHRga2tLfbs2YO2bdvKLQ8JCcHQoUORn59fov3u378furq6GDNmjFhmaGiIUaNGYfbs2YiKikK1aoXXAKWlpcHS0lJMqgBAT08PVapUKVEMymBrZoiE9GzYmhmW+XtXFJo6OIi2UXZNh/R7iUjMAAhIy8iFsQEhIycPGTl56PhRVaW9F2OMqZM2JUGMsbKhUB8r4G1NUqdOnfD9998rLZibN2+iTp06cplg8+bNAQC3bt0qctv27dvj33//xdy5c/HkyRM8ffoUixYtwrVr1zBjxgylxVgcI1u7YEgLZ4xszU/mVYX7lGgm6ffSsqYVjCrp4iMHM0gIqG5lDAcLI06CGWNMRSRZrxH/yyyZf5Ks1+oOi7EKReE+VmvXrsWVK1fwzTff4Nq1a/jxxx9haFi6Gpq4uDjY29vLlUvLYmNji9x27ty5CA8Px5IlS7B48WIAgLGxMX799Vf06tXrve+bnZ2N7Oxs8XVaWpoi4Yu4v4Pq8THWTNLvJSgsHFXNjPAwPg3m1Srh4Yt03I5KwZ3oFP7eGGNMBUiSj+you3JljLGyo3CNlb6+Pv73v/8hODgYBw4cQKtWrfD8+fNSBZOZmSnTlE9KmrBlZmYWua2BgQHq1KmDfv36YdeuXdi5cyeaNWuGIUOG4NKlS+9932XLlsHc3Fz8V1Rzw5JQ9mhrjGkTac1VPTtTPE/KgKGeDpIzcng4cMYYY4yVWwonVlJDhw5FWFgYUlJS4OHhgVOnTim8LyMjI5maI6msrCxxeVHGjx+PI0eOYPfu3Rg4cCAGDx6MkydPwt7eHpMmTXrv+/r7+yM1NVX8FxUVpfBnkOJ5ZVhJvC8R18YkXTrsurlxJVS3MkZWngSWxpW46SZjjDHGyq1SJ1YA4ObmhuvXr8PT0xPdunXDtm3bFNqPvb094uLi5MqlZQ4ODoVul5OTg23btsHHxwc6Ov99JH19fXTv3h3Xrl1DTk5Oke9rYGAAMzMzmX+lxX2AWHFIk6Yjt2OLTMS1OUn3cLaEjgDYmRniQXw6Hr9IV3dIjDHGGGMqoZTECgAsLCxw7NgxzJ49G+fOnVNoH25ubnj06JFcH6fLly+LywuTmJiIvLy8QkchzM3NhUQiKfEIhaXFEwSz4pAmTQCKTMS1OUlv7GQBvw6uSM3Mha6OgBP3XqglDm2s9WOMMcaYdlEosQoPD0fv3r3lygVBQEBAAG7fvo3Tp0+XeL/9+vVDfn4+tmzZIpZlZ2cjKCgIXl5eYt+n58+f48GDB+I6VatWhYWFBQ4ePChTM/X69WscOXIE9erVe28zQsbUxcxQDw/j01DPzrTIRFwTkvTSJCaNnSwwuo0LqlkaoXN9W+UHVwzaXOvHGGOMMe2g0KiAzs7O713esGFDhYLx8vKCr68v/P39kZCQAFdXV2zfvh0REREyzQuHDh2Kc+fOQTq3sa6uLqZNm4Zvv/0WLVq0EOfQ2rZtG6Kjo7Fz506F4mFM1dKy8lDXzgxpWXnqDuW9SjNv2J3oFKRl5cGvg6vakkMPZ0txImTGGGOMMVUoVmK1cOFCCIKAOXPmQEdHBwsXLvzgNoIgYO7cuSUO6Oeff8bcuXOxY8cOJCcno3Hjxjh69GihExEXNGfOHLi4uOD7779HQEAAsrOz0bhxY+zfvx99+/YtcRyMlQVtueEvTZxHbsfi0YvXiE3JVFtixcPzM8YYY0zVBJJW+7yHjo4OBEFAZmYmKlWqJDNARJE7FoQy79ekLGlpaTA3N0dqaqpSBrJgrLy4E50iJljFTVSWHLuHRy/SUcfWFHN86qs2QKb1+PpbOD4umqfGrGPqDkFGfkYqotcNlilzmhACXWNzlbxfxHIfleyXMU1U3GtwsWqsJBLJe18zWYrcfDJWFE06nxRpEtiziYPG1spp0rFljDHGmHZT2qiA7D/cUb7iUsXoc5p0PikyQmFZDb6hyLHXpGPLGGOMMe3GiZUKaPPw2EwxxZmPSlGadD4pkiSV1VDniiRJmnRsmfpdvXoV48ePR4MGDVC5cmVUr14d/fv3x6NHj+TWvX//Prp16wYTExNYWVnhiy++wMuXL+XWk0gkWLlyJVxcXGBoaIjGjRtj165dZfFxGGOMlbFiNQV0cXGBIAgl2rEgCHj69KlCQWk77ihf8RRnPipFafv5VJoRBUtCkQE2tP3YMuVasWIFwsLC4Ovri8aNGyM+Ph7r16+Hu7s7Ll26JI54Gx0djbZt28Lc3BxLly7F69ev8d133+Gff/7BlStXUKlSJXGfc+bMwfLlyzF69Gh4enri0KFDGDRoEARBwMCBA9X1URljjKlAsRKrdu3alTixqsi430bFI72p7/hRVf7O31FWIx9yksRKa8qUKfjll19kEqMBAwagUaNGWL58uTh1x9KlS/HmzRtcv34d1atXBwA0b94cnTt3RnBwMMaMGQMAiImJwapVq/D1119j/fr1AIAvv/wS7dq1w/Tp0+Hr6wtdXd0y/pSMMcZUpViJVXBwsIrDKF/K6gk90xxlcVOvrQk7JzxMW7Rs2VKurHbt2mjQoAHu378vlv3666/45JNPxKQKADp16oQ6depg7969YmJ16NAh5Obmws/PT1xPEASMGzcOgwYNwt9//43WrVur8BOxikTQ1YNx3VZyZYyxssN/cSqgLXMTMe3CCTtjZY+I8OLFCzRo0ADA21qohIQENGvWTG7d5s2b4/jx4+LrmzdvonLlyvjoo4/k1pMu58SKKYuOQWXY9PZXdxiMVWilSqxyc3Px4MEDpKamFjoE+4cm9S2v+Al9xaXKWiVtTdi1taaNMQAICQlBTEwMFi5cCACIi4sDANjb28uta29vj6SkJGRnZ8PAwABxcXGwtbWVa0ov3TY2NrbI983OzkZ2drb4Oi0trdSfhTHGmGoplFhJJBL4+/tjw4YNyMjIKHI9bZ0gmGkPTbtpV2WtkrYm7Edux+LRi3TEpmRqZfys4nrw4AG+/vpreHt7Y9iwYQCAzMxMAICBgYHc+oaGhuI6BgYG4n/ft15Rli1bhoCAgFJ/BsYYY2VHoeHWly5disDAQAwZMgQ///wziAjLly/Hpk2b0LhxYzRp0gR//vmnsmNlTI6mzUPEw3cXhQe/YdolPj4ePj4+MDc3x/79+8VBJoyMjABApjZJKisrS2YdIyOjYq1XGH9/f6Smpor/oqKiSveBGGOMqZxCNVbBwcHo378/Nm7ciMTERACAh4cHPv74YwwbNgze3t44ffo0OnXqpNRgmXJpWm2PIjSteZy21iopQ1HnU88mDhr1HTH2IampqejevTtSUlJw/vx5ODg4iMukzfikTQILiouLg5WVlVhLZW9vjzNnzoCIZJoDSrctuN93GRgYFFrbxRhjTHMpVGMVHR2Njz/+GMB/zSGkT+AqVaqEIUOGYMeOHUoKUfuU1YSopaVptT2KUGTCWqYaRZ1P/B2VnLZcQ8qjrKws9OzZE48ePcLRo0dRv359meWOjo6wsbHBtWvX5La9cuUK3NzcxNdubm7IyMiQGVEQAC5fviwuZ4wxVn4olFhZW1vj9evXAAATExOYmZnh2bNnMuskJ2vvzXppaUvCws3WmDLx+aS4dxMpbbmGlDf5+fkYMGAA/v77b+zbtw/e3t6Frte3b18cPXpUpnneqVOn8OjRI/j6+oplvXr1gr6+PjZs2CCWERE2bdoER0fHQod3Z0xRkuw3ePnbMpl/kuw36g6LsQpFoaaATZs2xdWrV8XXHTp0wNq1a9G0aVNIJBL88MMPaNKkidKC1Daa1jytKBW52RpTPj6fFPfuoCfacg0pb6ZOnYrDhw+jZ8+eSEpKEicElhoyZAgAYPbs2di3bx86dOiASZMm4fXr1wgMDESjRo0wYsQIcX0nJydMnjwZgYGByM3NhaenJ3777TecP38eISEhPDkwUyrKz0PGwzCZMqsufkWszRhTBYUSqzFjxiA4OFgcUnbJkiVo27Yt2rZtCyKCpaUldu3apexYtQbfYLKSKA993VjpvJtI8TVEPW7dugUAOHLkCI4cOSK3XJpYVatWDefOncOUKVMwa9YsVKpUCT4+Pli1apVcv6jly5fD0tISmzdvRnBwMGrXro2dO3di0KBBKv88jDHGypZARKSMHaWmpuLs2bPQ1dVFy5YtYWVlpYzdqkVaWhrMzc2RmpoKMzMzdYfDyrmgsHCkZOTCwlgfI1q5qDucYtOWhFBb4mRv8fW3cHxcNE+NWcfUHYKM/IxURK8bLFPmNCEEusbmaoqo5CKW+6g7BMYKVdxrcKkmCC7I3NwcvXr1UtbuGKswtLXZ17v9gDQ1ebkemYyH8em4/CwRfh1cNS4+xhhjjJUPpUqscnNzERMTg+TkZBRW8eXu7l6a3TNWIWhrs6+CCaEqJ0YuLQ9nS1x+lggL40oaGR9jjDHGygeFEquUlBRMmzYNISEhyMnJkVsunbMjPz+/1AEyxjTTuwmhpta6NXaygF8HV42NjzHGGGPlg0KJ1fDhw3HkyBEMHDgQXl5eMDfXnva7jDHl0/RaN02PjzHGGGPaT6HEKjQ0FBMnTsSaNWuUHQ9jTEvxIBGah78TxhhjrOwoPEGwq6ursmNhjGkxntS25N6dGFjZ+DthjDHGyo5CidWYMWOwe/duSCQSZcdTLqj6ZokxTeThbAkLY33ux1QCqk58+DthjDHGyo5CTQHnzp2L7OxsNGvWDF988QWcnJwKnUG+T58+pQ5QG2nyCGmMqQr3Yyo5VQ+1z98JY4wxVnYUSqxiYmJw+vRp3Lp1S5yp/l0VeVRAbZ2XiDFWtjjxYYwxxsoPhRKrkSNH4saNG/D39+dRAQvBN0uMlS88CARjjDHGPkShxOrChQuYOXMmAgIClB0PY4xpHG7eyxhjjLEPUSixsrOzg5WVlbJjYYwxjcTNexljmk7Q0YVBtYZyZYyxsqNQYjV16lRs3LgRo0aNgomJibJjYowxlVC0SR8372WMaTodQxPYDVqu7jAYq9AUSqyysrKgr68PV1dX9O/fH9WqVZMbFVAQBHzzzTdKCZIxxpSBm/QxxhhjTFUUSqymTZsm/v/69esLXYcTK8ZKTlsHSdCWuLlJH2OMMcZURaHEKjw8XNlxMMagvTUq2hI3N+ljjDHGmKqUOLHKzMzE999/jw4dOqBnz56qiImxCktba1S0Ne7yRFtqDRljjLHyqsSJlZGRETZv3oz69eurIh7GKjRtrVHR1ri1QXETJm2pNWSMMcbKK4WaAnp4eODu3bvKjoUxpdOGp/jaECNTn+ImTFxryFjFJsnOQPK57TJllu2GQcfAWE0RMVbxKJRYrV27Fj169EDDhg0xfPhw6OkptBvGVE4bnuJrQ4xMfYqbMHGtIWMVG+Xn4vXNYzJlFq0HqSkaxiomhTKi4cOHQ0dHB2PHjsXEiRPh6OgIIyMjmXUEQcDt27eVEiRjitKGp/jaEGNxcM2banDCxBhjjGkHhRIrKysrWFtbo27dusqOhzGl0oab0g/FqGkJS1HxcM0bY4wxxioyhRKrs2fPKjkMxlhRNC1hKSqe8lLzxhhjjDGmCO4cxZiG07SEpah4tKF2kDFW8dSYdezDKzHGmBIonFjl5+dj586dOHbsGCIjIwEAzs7O+OSTTzB48GDo6uoqLUjGKjJNS1g0LR7GGGOMMU2go8hGqampaNWqFUaOHInQ0FDk5uYiNzcXJ06cwIgRI9C6dWukpaUpO1bGALzt4xMUFo470SnqDoUxxhhjjDEACiZWc+bMwfXr17Fu3Tq8fPkSN27cwI0bN5CQkID169fj2rVrmDNnjrJjZQyAbB8fbcCJIGOMMcZY+adQYnXw4EH4+fnBz88P+vr6Yrm+vj7GjRuHcePG4ddff1VakIwV5OFsCQtjfY3pc/Qh2pYIMsYYY4yxklOoj1ViYuJ7h1qvV68ekpKSFA6KsffRtj4+mjb4BGOMMcYYUz6FaqxcXV1x+PDhIpcfPnwYtWrVUjgoxsqTxk4WGNHKRauSQab5uImparx+/Rrz589Ht27dYGVlBUEQEBwcXOi69+/fR7du3WBiYgIrKyt88cUXePnypdx6EokEK1euhIuLCwwNDdG4cWPs2rVLxZ+EMcZYWVMosfLz80NoaCh69OiB0NBQREREICIiAn/++Sd8fHxw4sQJjB8/XtmxMsYY+3/cxFQ1Xr16hYULF+L+/fto0qRJketFR0ejbdu2ePLkCZYuXYpp06bh2LFj6Ny5M3JycmTWnTNnDmbOnInOnTtj3bp1qF69OgYNGoTdu3er+uMwxhgrQwo1BfTz80NCQgKWL1+OP//8U2aZvr4+5s2bh3HjxiklQMYYY/K4ialq2NvbIy4uDnZ2drh27Ro8PT0LXW/p0qV48+YNrl+/jurVqwMAmjdvjs6dOyM4OBhjxowBAMTExGDVqlX4+uuvsX79egDAl19+iXbt2mH69Onw9fXl6UkYY6ycUHgeqwULFmD8+PE4efKkzDxWnTp1QpUqVZQWIGOMMXna1tdQWxgYGMDOzu6D6/3666/45JNPxKQKADp16oQ6depg7969YmJ16NAh5Obmws/PT1xPEASMGzcOgwYNwt9//43WrVsr/4MwxhgrcwonVgBQpUoVDBw4UFmxMMZYhXQnOkWsfeJkSfPFxMQgISEBzZo1k1vWvHlzHD9+XHx98+ZNVK5cGR999JHcetLlnFgxpRB0oG9dXa6MMVZ2SpVYpaenIzIyEsnJySAiueVt27Ytze4Z4xtOViEU7C/F57nmi4uLA/C22eC77O3tkZSUhOzsbBgYGCAuLg62trYQBEFuPQCIjY0t9D2ys7ORnZ0tvk5LS1NW+Kyc0jUyhcOXG9QdBmMVmsLDrY8fPx6//vor8vPzAQBEJP5wSP9fuowxRfENJ6sIuL+UdsnMzATwttnguwwNDcV1DAwMxP++b73CLFu2DAEBAcoKmTHGWBlQKLEaPXo0jhw5gokTJ6JNmzawtOSbAaYafMPJKgLuL6VdjIyMAECmRkkqKytLZh0jI6Nirfcuf39/TJkyRXydlpaGatWqlS5wxhhjKqVQYhUaGopvvvkGK1euVHY8TIW0sVkd33AyxjSNtBmftElgQXFxcbCyshJrqezt7XHmzBmZVh0Ft3VwcCj0PQwMDAqt6WKMMaa5FOrVaGxsjBo1aig5lLeys7Mxc+ZMODg4wMjICF5eXjhx4kSxt9+zZw+8vb1RuXJlWFhYoGXLljh9+rRKYtU2PO8NY4yVnqOjI2xsbHDt2jW5ZVeuXIGbm5v42s3NDRkZGbh//77MepcvXxaXM8YYKx8USqyGDBmCgwcPKjsWAMDw4cOxevVqDB48GN9//z10dXXRo0cPXLhw4YPbLliwAJ9//jmqVauG1atXY/HixWjcuDFiYmJUEqu28XC2hIWxPjerY6VyJzoFQWHhuBOdou5QGFObvn374ujRo4iKihLLTp06hUePHsHX11cs69WrF/T19bFhw3+DChARNm3aBEdHR7Rs2bJM42aMMaY6CjUF7NevH86dO4du3bphzJgxqFatWqETHLq7u5dov1euXMHu3bsRGBiIadOmAQCGDh2Khg0bYsaMGbh48WKR2166dAkLFy7EqlWr8M0335TsA1UQ3KyOKQMPKMLepY3NjN9n/fr1SElJEUfsO3LkCKKjowEAEyZMgLm5OWbPno19+/ahQ4cOmDRpEl6/fo3AwEA0atQII0aMEPfl5OSEyZMnIzAwELm5ufD09MRvv/2G8+fPIyQkhCcHZkojyclC2pVfZcrMmveFTiVDNUXEWMUjUGHjpH+Ajs5/FV3vDiELKD4q4IwZM7B69WokJSXBzMxMLF+2bBlmz56N58+fF9l5d+DAgfjrr78QHR0NQRDw5s0bmJiYlOj9pdLS0mBubo7U1FSZOBhTFW26MdWmWFnZCAoLR0pGLiyM9TGilUup9qUJ198aNWqIE9+/Kzw8XGwK/++//2LKlCm4cOECKlWqBB8fH6xatQq2trYy20gkEqxYsQKbN29GXFwcateuDX9/fwwePLjYMWnCcdFWNWYdU3cIZSI/IxXR62TPKacJIdA1NldTRCUXsdxH3SEwVqjiXoMVqrEKCgpSOLD3uXnzJurUqSMXsHQixVu3bhWZWJ06dQotW7bEDz/8gMWLFyMxMRF2dnaYM2cOxo8fr5J4GVOWd2uBNDl54ZpP9q7yNnpnREREsdZr0KAB/vzzzw+up6OjA39/f/j7+5cyMsbKN1UkwZyssbKkUGI1bNgwZccB4O0oSUVNuAgUPZFicnIyXr16hbCwMJw+fRrz589H9erVERQUhAkTJkBfXx9jx44t8n15Ikambu/emHJzO6ZNONlmjDHGFBy8oqC4uDjcvn0bb968KXUwik6k+Pr1awBvJy7eunUrpk2bhv79++PYsWOoX78+Fi9e/N73XbZsGczNzcV/PFcIK2uNnSwwopWLeHPKA40wxhhjjGkXhROrQ4cOoV69enBycoK7u7s4dOyrV6/QtGlThUYNVHQiRWm5vr4++vXrJ5br6OhgwIABiI6OxvPnz4t8X39/f6Smpor/Co7ypK145Dbt9m6ipQlKek7xOcgYY4yxikShxOrIkSPo06cPqlSpgvnz56Pg+BdVqlSBo6MjgoODS7xfe3v7IidcBIqeSNHKygqGhoawtraWG2GpatWqAN42FyyKgYEBzMzMZP5pO56ziilbSc8pPgcZY4wxVpEolFgtXLgQbdu2xYULF/D111/LLff29sbNmzdLvF83Nzc8evRIro/ThyZS1NHRgZubG16+fImcnByZZdJ+WTY2NiWOR5txUzKmbCU9p/gcrHi4lpIxxlhFplBidffuXfTv37/I5ba2tkhISCjxfvv164f8/Hxs2bJFLMvOzkZQUBC8vLzEvk/Pnz/HgwcPZLYdMGAA8vPzsX37drEsKysLISEhqF+/fpG1XeWVJjYlY5qlpDfBJT2n+ByseLiWkjHGWEWm0KiAxsbG7x2s4tmzZ7C2ti7xfr28vODr6wt/f38kJCTA1dUV27dvR0REBLZt2yauN3ToUJw7d06mCeLYsWOxdetWfP3113j06BGqV6+OHTt2IDIyEkeOHClxLIyVdzzyIFO28jbsOmOMMVYSCtVYdejQAdu3b0deXp7csvj4ePz444/o0qWLQgH9/PPPmDx5Mnbs2IGJEyciNzcXR48eRdu2bd+7nZGREU6fPo1Bgwbhp59+wvTp06Gjo4Njx46he/fuCsXCWHnGTfWYsnEtJWOMsYpMoRqrJUuWoEWLFvD09ISvry8EQcCff/6J06dPY/PmzSAizJ8/X6GADA0NERgYiMDAwCLXOXv2bKHlVatWVWjQDMYqIp57iDHGGGNMeRRKrOrWrYsLFy5g0qRJmDt3LohITITat2+P//3vf6hRo4Yy42SMaZE70SlikzBO3hhjjKlLjVnHlL7PiOU+St8nKx8USqwAoEGDBjh58iSSk5Px5MkTSCQS1KxZUxx9j4ggCILSAmXsQ/hmXnNw/y3GmCJUcRPMGGNlReEJgqUsLS3h6ekJLy8v2NjYICcnB1u2bEHdunWVER9jxcYjkqmfdKRBM0M97r/FGGOMsQqlRDVWOTk5OHz4MJ4+fQpLS0t88skn4jDmGRkZWL9+PdauXYv4+HjUqlVLJQEzVhQekUz9pMktAIxo5aLmaBhjrGLRMTJTdwiMVWjFTqxiY2PRvn17PH36VBzm3MjICIcPH0alSpUwaNAgxMTEoHnz5li3bh369OmjsqAZKwwPxqB+nNwyxph66Bqbo9rEX9QdBmMVWrETqzlz5iA8PBwzZsxAmzZtEB4ejoULF2LMmDF49eoVGjRogJ07d6Jdu3aqjJcxpsE4uWWMMcZYRVXsxOrEiRMYMWIEli1bJpbZ2dnB19cXPj4+OHToEHR0St1lizHGGGOMMca0TrEzoRcvXqBFixYyZdLXI0eO5KSKMcYYY4wxVmEVOxvKz8+HoaGhTJn0tbm5uXKjYowxxhhjjDEtUqJRASMiInDjxg3xdWpqKgDg8ePHsLCwkFvf3d29dNExxhhjjDHGmBYoUWI1d+5czJ07V67cz89P5rV0cuD8/PzSRccYY4wxxj5IkpuNN/+ckCmr3KgzdPQN1BQRYxVPsROroKAgVcbBGNMid6JTxGHVeRRAxhhTP8rNQtKJTTJlxvXaAJxYMVZmip1YDRs2TJVxMMa0iHQi4OuRyZxYMcYYq1BqzDqmkv1GLPdRyX5Z2eGh/BhjJebhbAkLY32eCFhD3IlOQVBYOO5Ep6g7FMYYY6zCKlEfK8YYA3giYE3DNYiMMcaY+nGNFWNlhGsV1KMiHHeuQWSMMcbUj2usGCsjXKugHhXhuHMNImOMMaZ+nFgxVkY8nC3FkfRY2eHjzhhjTBuoYlAMHhCjbHFixVgZKU6tAg9jrnxcm8OYaqhqZDTGGNNW3MeKMQ1SsNkaYyVVEfqTMcYYY5qKa6wY0yDcbI2VRkXoT6aNsrOzMW/ePOzYsQPJyclo3LgxFi9ejM6dO5d4Xw3n/wkdA2MVRMkYY6y0OLFiTINwszVWGpyYa6bhw4dj//79mDx5MmrXro3g4GD06NEDZ86cQevWrdUdHmOsHON+W2WLEyvGGCsnODHXPFeuXMHu3bsRGBiIadOmAQCGDh2Khg0bYsaMGbh48aKaI2SMMaYsnFgxxhhjKrJ//37o6upizJgxYpmhoSFGjRqF2bNnIyoqCtWqVVNjhIwxphnKQ+0aJ1aMMaaheJRI7Xfz5k3UqVMHZmZmMuXNmzcHANy6dYsTK8YYUxFlJWuS7IxirceJVSGICACQlpam5kgYYxXZhXvPkZqRhwtv0lHDrGIM4iq97kqvw9ouLi4O9vb2cuXSstjY2EK3y87ORnZ2tvg6NTUVQPF/3FnFI8mRPzckORkQdPXVEA0rz1R1f6zJ1zdpbB/6beLEqhDp6ekAwE8RGWMa42t1B1DG0tPTYW5uru4wSi0zMxMGBgZy5YaGhuLywixbtgwBAQFy5TEbhys1Pla+xW4ere4QWDlkvlbdEajPh36bOLEqhIODA6KiomBqagpBEApdJy0tDdWqVUNUVJRcEw9Nx7GrB8euHhy7eigaOxEhPT0dDg4OKoyu7BgZGcnUPEllZWWJywvj7++PKVOmiK8lEgmSkpJgbW1d5O+SptLm81ib8XFXDz7u6qHq417c3yZOrAqho6MDJyenYq1rZmamtX84HLt6cOzqwbGrhyKxl4eaKil7e3vExMTIlcfFxQFAkT/SBgYGcjVdFhYWSo+vLGnzeazN+LirBx939VDlcS/Ob1PFaLTPGGOMqYGbmxsePXok1yfh8uXL4nLGGGPlAydWjDHGmIr069cP+fn52LJli1iWnZ2NoKAgeHl5cV9exhgrR7gpoIIMDAwwf/78QjslazqOXT04dvXg2NVDm2NXJi8vL/j6+sLf3x8JCQlwdXXF9u3bERERgW3btqk7vDLB54J68HFXDz7u6qEpx12g8jKmLWOMMaaBsrKyMHfuXOzcuRPJyclo3LgxFi1ahK5du6o7NMYYY0rEiRVjjDHGGGOMlRL3sWKMMcYYY4yxUuLEijHGGGOMMcZKiRMrxhhjjDHGGCslTqwYY4yVGHfPZYwxVhYkEom6Qyg2TqyY2vENGqtoUlNT1R2Cwvbs2QMAEARBzZEwTcLX8bKRlZUl85qPOyvPHj9+jPz8fOjoaE+6oj2RqtDNmzfx/PlzmZsdbblYZWRkqDsEhT179gwZGRlyPxTa4Pbt23j8+DGio6PFMm05ZwDg0KFD8PPzw7NnzwBo19OgXbt2wdTUFGFhYeoOpcQOHDiALl26YM2aNYiIiFB3OCWye/du1KpVC59//jkuXLig7nCYGp04cQKzZs3Cxo0bcfHiRQCcaKva3bt34evri4EDB+Krr77ClStXAPBxV7U9e/bgq6++wooVK2Sue9r0e6+NduzYgTp16qBLly6oX78+Fi5cqDUPJCt0YnX//n20bt0aHTt2RJMmTdC8eXP8+uuvyMvLgyAIGv2H8/DhQ3h4eODLL79UdygldufOHfj4+KBnz55wcXFB+/btERYWptHHW+rOnTvo3LkzPvnkE3h4eKBJkyb44YcfxHNGG5w4cQKfffYZduzYgaNHjwKAVjwNunnzJry8vDBy5Ej4+PjAzMxM3SEVW2xsLHx8fDB06FBUqlQJxsbGMDY2VndYxSI97sOGDYOpqSkMDQ2RnZ2t7rCYGqSmpmLAgAHo2bMnjh07hqlTp6Jr16744YcfkJSUBIBvOJVJeix37NgBb29vxMTEIDc3F7t27ULnzp3x3XffqTnC8uvFixfo1q0bRo0ahatXr2LFihXo1KkTFixYgJSUFI2/R9RmP/74I8aNG4ePP/4YX375Jdzd3bFgwQL4+fnh6dOnADT8YTBVUC9evKCmTZtSy5Yt6aeffqKffvqJWrRoQRYWFjR//nwiIpJIJOoNshASiYT2799PderUIUEQSBAEOnv2rLrDKpa8vDz64YcfyMbGhtq1a0fz5s0jPz8/qlatGtWrV0+jP0dOTg4tWbKELCwsqF27drRu3TratWsXtW/fnszMzOjAgQPqDvGDpOfz9evXydramoyMjMjLy4tu3bpFRET5+fnqDK9IGRkZNGLECBIEgdq1a0eHDh2iFy9eqDusEpk/fz599NFHFBISQs+fP1d3OMWSmppKQ4cOJUEQqH379nTo0CE6duwYGRoa0nfffUdEb/+mWcWxd+9esrS0pC1bttDz58/p/v37NHToUDIwMKCpU6eqO7xyq23bttStWzeKiIggIqLw8HAaPHgwCYJAu3btouzsbDVHWP5s376drKysKCQkhGJjYykxMZGGDx9Opqam5Ofnp+7wyq3Xr19Ty5YtqVOnThQXFyeWr1ixgszMzGjgwIFqjK54KmxitXv3btLT06P9+/eLZdHR0TRgwAASBIFOnjypxuiK9vTpU2rYsCFZW1vT4sWLqX79+tSiRQvKzc1Vd2gf9Mcff1DNmjVp5MiR9ODBA7E8LCyMBEGgmTNnauznOHbsGLm7u9PkyZPp0aNH4g3l48ePSRAEWrlypUYm4oXZv38/denShTZt2kSCINDs2bPFz6NpnyEvL4+WLFlCgiDQ6NGj6eXLl0WeI5oWu9Tz58/J1taWJk6cKFdekCbF/+bNG6pduzbVrFmTNm7cSJGRkURE9OzZM7K0tKQ+ffpobCLOVOfTTz+l+vXry5X37t2bLCwsaPfu3UTECbcy3bhxg0xMTGj16tUy5ZGRkdSxY0dydXWlCxcuqCm68qtdu3bUokULmbI3b97Q8OHDSRAEOnbsGBFp1nW7PEhKSqIqVarQ4sWLiUj2WvLVV1+RoaEhbdu2jYg092Gw5rf/UZHIyEhUrlwZn332GQAgNzcXjo6OmDFjBjw9PTF58mQkJCSoOUp5enp6+PTTT3Hq1CnMmTMHX3/9NS5fvozt27erO7QPunfvHgwMDLB8+XLUrVsXAJCTk4OWLVvCy8sLN27cgJ6enkZWr5ubm2Pw4MGYPXs2ateuDV1dXQBv273b2NjA2dlZ45sGSGOrVq0aLl++jLFjx6Jjx44ICgrCmTNn1Bxd4XR1ddG1a1e0bNkS58+fR5UqVaCnp4fDhw9j+PDhmDlzJoKCgpCTk6OxTTEjIiKQnp6O8ePHA3jbrKdBgwbo1q0bPvvsM+zatQuA5vSVkEgkMDY2xvbt23H48GGMGjUK1atXBwC4uLjA1dUVSUlJyM3N1ejznSlXdnY2cnJyYGFhIZbl5OQAAObMmQMXFxf4+/sjLy9PvD6y0rOzs0NOTg4qV64MAGIz3OrVq+O7775DTEwMgoOD8erVK3WGWW5IJBJkZ2fD0NAQenp6YnleXh6MjY0xYcIEuLu7Y+LEiSAijblua6Njx47B3d1dpu9aWloaBEFAXFwcsrOzoauri/z8fADA+PHj4ebmhgULFiArK0tzuzCoNa0rA9KM9t2nCmvWrCFTU1M6c+YMEZHME/s9e/aQgYEBLV26tNBty0pRsWdlZYn///DhQ+rSpQs5OTnRq1evyjS+9ykYe8H4Hz58KLOc6O2xb9++PbVu3ZoyMzPLNtBCFHXc33X+/Hlq2LAhmZmZ0YIFC+iff/6h5ORkmX2ow4fi379/P7m6uhIR0c2bN0kQBBo2bBglJSW9d7uyUFTs0tq1qVOnUpcuXUgQBHJ1dSVTU1MSBIH69OlDd+/eldlHWSsq9mvXrpGenh4dPHiQfvrpJ9LR0aF+/frRsGHDqGrVqiQIAgUFBakh4v8U55yXSCSUn59PX3/9NZmbm4vnOj+xLV+SkpLo0aNH4vWgIF9fX6pTp454HS9ozZo1ZGhoSEuWLCEizX2arG3S0tKoSZMm1KFDB7Gs4N/c9OnTydTUlE6dOqWO8LTa/fv3adKkSTRhwgSaM2cOPXr0SFzWu3dvqlu3Lv3zzz9EJHs+b9myhQRBoDVr1sgtY8UTHh5Ozs7OJAgCffbZZzLL2rdvT82bN6fo6Gi57b7//nsyNTWl5cuXE5Fm/v6U28RK2idm69atMuXSL+HEiRNkYGBACxYsEMukfxzx8fHUv39/srGxUUvb5aJiL8qePXvIyMiIZsyYoeLIPqyksUsTr6ZNm9KAAQPEMnUoTuzSc2TmzJkkCAJ16NCBhg0bRqNGjSILCwu1tv/9UPzS43rlyhUyNTWl2NhYIiIaNWoUGRgY0C+//EJEb5s7lLUP/b1GRkZSv379SBAE+vjjj+mPP/6gyMhIiomJoUWLFpGOjg75+vqWedxEHz7u165doypVqtCQIUOoSZMmNHfuXEpPTyciojt37lDXrl3J2tqa7t+/X5ZhE1HJ/16JiObOnUuCINDhw4dVGBlTh9mzZ1PdunXJ3t6eKlWqRLNmzZJJoo4dOyb265GSPpSMioqi1q1bU5MmTejly5dlHnt5Nn36dLKzs6PQ0FAikm0e9eTJE6pSpQpNmzaNiDTzRlPTZGdn07Rp08jIyIiaNWtGtWvXJkEQqGbNmrRv3z4ievsAUhAE+umnn8Tffelxj4iIoI4dO5KLiwv3b1NQamoqWVhYUIMGDcjJyYl+/vlncdmOHTtIV1dXpquO9Ng/f/6cmjRpQu3btxcf7mmacplY/fXXX9SgQQMSBIG6dOlC9+7dIyL5C467uzs1bdpUfCJRcHlISAjp6enRxo0bC91W3bEXLEtISKCRI0eSoaGh+NReHRfXksReUFRUFFWuXJmWLVtGROppn1/c2KWvDx48SHv27KFXr16JZf7+/qSjo0OBgYFEVLZPsUpy7Pfu3Ut16tQRB4BIS0sjY2Nj6tChA40YMYK++OILMenSpNhDQkJo+PDhFBYWJrds8ODBZG5uLt7sa9rfa6tWrUhHR4eqVKlCFy9elFkWGhpKVlZWNGnSJCIqu/OmpH+v0rjOnz9PgiDQ3r1737s+0x537tyhdu3akZOTE82ePZuWLl1KI0eOJEEQaNSoUWK/xqioKPL09KRWrVrJ3NRIz4EFCxaQqampmAAw5Xjx4gVZWVnRoEGDxN9H6d9jeno6DR48mKpVq6bOELVGeno6zZ49m2rWrEkrVqyghw8fUn5+Pp06dYocHByoTZs2lJGRQXl5edSkSRNq06aNOGhIQQEBAWRhYSH2tWLFJ5FIKCoqitq3b09LliyhunXrkqenJ71+/ZqI3vZd9/T0JC8vL5mHNNJzfvz48WRvb0/Pnj1TS/wfUu4Sq7///pvq1atHNWrUIF9fXxIEgVasWCHT4V16YTp06BAJgkCLFy8Wm6BJlz18+JCcnJxozJgxZXajU5zYi3Lq1ClydHSUq1ItK6WJ/a+//iJBEOjPP/8sg0jllST2991EPn78mFxdXalJkyYyzTVVrbjxS2M/f/48GRsbU1RUlLjs888/J11dXdLX16f58+eLFzhNiF0ad2pqKiUkJMhsL13v0qVLJAiCTA20JsQuvZ788ccf4iie0pop6ZPOhIQE6tatG1WrVq3MzpvS/L3evXuXLC0tacKECUTEiZW2S05OpuHDh5OrqysdOHBApsa6V69eZGNjQ+fPnyeit39vP/74I+no6ND//vc/8fzOyckhore/m4IgiKOkchMp5Vm4cCHZ2NiIHfcLPoCcOXMmVa1alZ4+faqu8LRGeHg4ubi40NixYyklJUVm2dixY8nGxoauXbtGRG9rTgRBoNWrV4t/F9Lr9s2bN0lHR4cOHjxIRHwdLKmEhAQyNDSk+/fv0/Lly8nExEQcsCIrK4u2b99Ourq6tGzZMvHYS38f9+3bR/r6+oU2SdYE5S6xunfvHhkYGIjVuW3atKHatWtTWFhYoev36NGDHBwc6MiRI0Qke7Fq0KABDR06lIjK5o+mpLEXjOv169diEx1pW+tz587RoUOHZNbTpNilNmzYQHp6emLzqLy8PHr69Kl4cdPk2Ilkbx68vb2pRYsWZZpYvRt/27Zt3xv/7t27qW7dupSSkkJnzpyh1q1bk66uLpmZmZGrq6t4E6Wp53zB2KTH/uXLl2RhYVGmzWFLGrt0eOSxY8cSEckkMf369aP69etTamqq6gOn0p3zCQkJ5OzsTB07dqS0tDRVh8pULCkpiTw9PcUbdqL/EqUzZ87I/KYQvR09t0+fPuTg4EBnzpyRuU78/fffZGBgQJs2bSq7D1BBZGVlUcOGDcnV1VXuSb2fnx9VrVpVY5tGaRKJREJbtmyRKZOe73v37iU9PT3x4VdKSgr16dOH7Ozs6LfffpPZ5sqVKyQIAm3fvr1sAi9H8vPzKSYmhurWrUt//fUXxcfHU4sWLcjFxUVMluLj42nUqFFkYmJCO3bsELeVSCT05Zdfkp2dHUVFRWlkQluuEitpUlTwqba0NmTixIniTUvBG+HIyEgyMTGhFi1a0I0bN8TyS5cukZmZGQUEBGhU7IWdRNLP8+DBA3J3d6dGjRpRQEAAVatWjaytrVU+509pYici6tmzJ7Vs2ZKI3jY12blzJzVt2pTc3d0pMTFRY2N/92nsn3/+Sfr6+jR58mQVRiyrJPFLP8OpU6eoUqVK9Mknn5Curi61atWK/vrrL9q7d694418W7caVeew3bNhAgiDQjz/+qMKI/6PItSYqKorMzMzkamf//fdfqlWrFg0ZMqRMfiSUcdz79OlDDRo0oNevX2vkDxsrHun3ef/+/UIHMAkNDSU9PT3as2ePzHb//PMPOTo6koeHh3guv3jxgmbMmEEODg6FNp1ipff333+To6MjNWrUiM6fP0/Pnz+n33//nVxcXOibb77hv8Vikj7UerfbQWBgIOnq6spMBxMVFUW2trbUoEED+uOPP4iIKCYmhsaPH0/Ozs4UHx9fdoGXI0lJSWRsbCw+zNu8eTNZWVnRqFGjiIjo1atXFB8fT15eXmRubk7ffvsthYaG0tatW6lGjRoaPZeY1iZWu3fvprFjx9Ly5cvpr7/+EssLXlikPxTDhg0jCwsLuScO0j+q4OBgql69Orm4uNAPP/xAW7dupZ49e1K1atXozp07Ghl7YSIjI8U5FgRBoF69esk099K02CUSCaWnp5O9vT0NHDiQTp48SZ9++ikJgkDdunUrdEQYTYm9oNjYWDpy5Ai1a9eO6tevL/bZUzZlxR8WFkaNGzemjz76iNavX09RUVHi30KrVq1o9OjRSk+sVHXs4+Pj6eDBg9S4cWNq166dSkbGVOa1Zvfu3WRvb09WVlY0evRoWrp0KXXv3p0sLS1V0hRWFcddIpHQ4sWLSRAE8eki39CVL9Lv8/DhwyQIgnijWfB7Pnv2LNWsWZMEQaBWrVpRx44dycDAgKZPn07Z2dl8TqjI6dOnqWbNmqSvr0+1atUiMzMzcnd3V8vgN+WF9Bo4adIksrOzE2uwpNftP//8k9zd3UkQBHJzcyNvb2/S19engIAAysvL43NdAc+ePaM6deqIvzfZ2dn02WefUZUqVWjAgAHk7u5O169fp2fPntHYsWNJEASysLAgQ0ND+vzzz8usdYcitC6xio+Pp65du1LlypXJ3d2dLC0tycDAgObPny9Wg7872Wl0dDSZmJhQnz59xEQjPz9f7keiVatWZG5uTtbW1tS4cWOlT7qnzNjfdf78eerWrRvp6OhQ06ZNi92MTd2xP3nyhIyNjcnd3Z1MTEyobt26Sh82VlWxnz17lkaPHk39+vUjU1NTatKkCV29elWpsSszfulTupycHPrrr7/on3/+ERMo6XbKHu5elcf+q6++os8//5xMTEzI3d2dbt26pbGxF7zWhIWFUdeuXcnCwoKqVq1KTZs2lUl6NC32wqxZs4YEQZAZtYmVP7NmzSJLS0tKTk4utN/jkydPaMGCBTRgwADq1q0bHT16VF2hVihPnjyhkJAQmjdvnkwzKVY6Hh4e1LdvXyKSr816+fIlLV++nEaPHk0DBgyQG4SIlUxiYiIZGBjI3GdPnz6dKlWqRLq6ujRnzhyZ1lb379+nM2fOiAO0aTKtS6y2b99OVlZWFBISQrGxsZSYmEjDhw8nU1PTQqsGpT8AS5YsIR0dHdqyZYvMTU7B/8/MzKQXL16o5OZYFbEXdPLkSapUqRKtX79eq2I/ffo0CYJAVatW1brYjxw5Qq6urtS+fXv66aefVBK7quIvqydsqjr2+/fvJxMTE/Ly8lJZ8z9VXmuys7MpOTmZbt++rRWxS0kTrbi4OAoODlZJ7Ez9pN9z165dydvbu9jrM6atEhISyMjISBzVl+jteV3YfG6s9J4+fUp16tSh0NBQunjxIrVp04Z0dXWpdu3aZGZmJvbTVMco0aWldYlVu3btqEWLFjJlb968oWHDhpEgCOLQl+9e6HNycqhWrVrk5eUlTgL39OlTmX4Gqv5xUGXsRKo9AZUde8EnEZs3bxar3rUt9qdPn2rVefPkyRO580aVVHnsb9++rVXnfHm51nCzl/LjfedhXl4eWVhY0Ny5c8WyxMREOn36NGVkZBARnwus/JA+5D179iwRvX14tGPHDvL09CzT38yKIjo6mgwMDMjNzY309PTI29ubQkNDKSwsjBo0aECOjo5am9RqTWKVn59PWVlZ1LVrV2rVqpVYLm2ecP36dfLw8KCaNWvKXezfHV595syZFBQURO7u7jRx4kSVT4jKsRceu6pHFFNl7GUxHLkq45feGGlj7Ko+9vz3qp7YWdmRSCQySdXBgwfpypUrMuvcuHFDHBEwMzOTLl68KM5tJZ3fkTFtJ70OrlixgiwsLOjRo0d05swZ+uyzz0hfX5+aNWsmM18lU468vDz64osvyNXVldatW0fPnz8Xf4Pmzp1LQ4cOpdTUVK087hqZWN2/f58mTZpEEyZMoDlz5ohPTomIevfuTXXr1hUHCCj447BlyxYSBIHWrFlDRPI1OLm5ueTp6Um6urokCALZ29uLo7xw7By7umLX9vg5do6daY+C3/fdu3epY8eOJAgCLV26VOYm5vvvvyddXV3av38/LV68mKytrcnOzo5++eUXdYTNmEr16dOHatWqRaNHjyZTU1OqXbs2T3StYtHR0XT37l256WmKM5+iJtOoxCo7O5umTZtGRkZG1KxZM6pduzYJgkA1a9YU51vZv38/CYJAP/30k3izIP2hiIiIoI4dO5KLi4tcp/wbN27QnDlzyMTEhExNTWnt2rUcO8eu1ti1PX6OnWNn2qNgQpWenk5jxowhQRCoefPmYl88ov+S8HHjxlHlypWpZs2apKenR3PmzFFL3IypWmZmJrm5uZEgCGRmZiY+dGJMERqTWKWnp9Ps2bOpZs2atGLFCnr48CHl5+fTyZMnycHBgdq0aUMZGRmUl5dHTZo0obZt2xY6V8aCBQvIwsJC7ENA9PamYfz48SQIAg0bNkyciJZj59jVFbu2x8+xc+xMOxScw47o7YiOpqam5OjoSCtXrqTHjx8X2teqVatWJAgCDRkyhPuYsHJvxowZNHPmTLnaE8ZKSmMSq/DwcHJxcaGxY8dSSkqKzLKxY8eSjY0NXbt2jYiIduzYQYIg0OrVq8V2/9Inrzdv3iQdHR06ePAgEf1XpXjlyhW6d+8ex86xa0Ts2h4/x86xM+3yxx9/UL169cjQ0JD8/PzoypUrhU6vIK3Zunz5snguMVbe8ciWTFk0JrGSSCS0ZcsWmTLpSHF79+4lPT09cQK8lJQU6tOnD9nZ2clNZnnlyhUSBIG2b99eNoETx07EsStCm+Pn2Dl2ph3y8/Pp22+/JUEQqGfPnvT777+Lc5kxxhhTLo1JrIj+e2r6bmfqwMBA0tXVFWd/JyKKiooiW1tbatCggdixOiYmhsaPH0/Ozs4UHx9fdoETx86xK0ab4+fYOXamHc6cOUPbt2+n6OhodYfCGGPlmkYlVu+SVs1OmjSJ7OzsxCez0huKP//8k9zd3UkQBHJzcyNvb2/S19engIAAysvLU+swjRw7x64IbY6fY+fYmWZ6t58Vf+eMMaYaAhERNFyzZs1Qo0YN7N+/H/n5+dDV1RWXvXr1Ctu2bcPTp0+RlpaGSZMmwdvbW43RyuLY1UObYwe0O36OXT20OXbGGGOsXFB3ZvchCQkJZGRkRIGBgWJZfn6+VszIzLGrhzbHTqTd8XPs6qHNsTPGGGPlhY66E7sPuXv3LrKysuDp6QkAiI+Pxy+//IKuXbvi5cuXao7u/Th29dDm2AHtjp9jVw9tjp0xxhgrLzQ2saL/b6F49epVmJubw8HBAWfPnoWfnx9GjhwJIoKOjo64nibh2NVDm2MHtDt+jl09tDl2xhhjrLzRU3cARREEAQBw+fJlWFtbIzAwELt374adnR2OHTuGzp07qznConHs6qHNsQPaHT/Hrh7aHDtjjDFW7pRdq8OSy8zMJDc3NxIEgczMzGjNmjXqDqnYOHb10ObYibQ7fo5dPbQ5dsYYY6w80fhRAWfOnAlBEBAQEAADAwN1h1MiHLt6aHPsgHbHz7GrhzbHzhhjjJUXGp9YSSQS6OhobFew9+LY1UObYwe0O36OXT20OXbGGGOsvND4xIoxxhhjjDHGNB0/4mSMMcYYY4yxUuLEijHGGGOMMcZKiRMrxhhjjDHGGCslTqwYY4wxxrRMcHAwBEFARESEQtsPHz4cNWrUUGpMZam0n78wEREREAQBwcHBSttnSfXo0QOjR49W2v4GDhyI/v37K21/7P04sWKMMcZYhbFhwwYIggAvLy91h8LU5JdffsHatWvVHYacsLAwhIaGYubMmWJZSkoKBg8eDEtLS9SsWRPbtm2T2+7atWswNjZGeHi43LKZM2fi119/xe3bt1UaO3uLEyvGGGOMVRghISGoUaMGrly5gidPnqg7HKYGRSVWzs7OyMzMxBdffFH2QQEIDAxEx44d4erqKpZNmzYNZ8+eRUBAAD755BOMHj0aFy9eFJcTESZOnIjJkyfDxcVFbp9NmzZFs2bNsGrVqjL5DBUdJ1aMMcYYqxDCw8Nx8eJFrF69GjY2NggJCVF3SBXOmzdv1B1CkQRBgKGhIXR1dcv8vRMSEnDs2DG5ZntHjx7FsmXLMHHiRPzwww9o27Ytjhw5Ii4PCQlBZGQkZs+eXeS++/fvjwMHDuD169cqi5+9xYkVY4wxxiqEkJAQWFpawsfHB/369Ss0sZL2s/nuu++wZcsW1KpVCwYGBvD09MTVq1dl1h0+fDhMTEwQExOD3r17w8TEBDY2Npg2bRry8/PF9c6ePQtBEHD27NlC36tgn547d+5g+PDhqFmzJgwNDWFnZ4eRI0ciMTFR4c/922+/oWHDhjA0NETDhg1x8ODBQteTSCRYu3YtGjRoAENDQ9ja2mLs2LFITk6WW2/BggVwcHCAsbExOnTogHv37qFGjRoYPny4uJ60H9S5c+fg5+eHqlWrwsnJCQAQGRkJPz8/1K1bF0ZGRrC2toavr2+hfab+/fdffPzxxzAyMoKTkxMWL14MiUQit96hQ4fg4+MDBwcHGBgYoFatWli0aJHMd9G+fXscO3YMkZGREAQBgiCIfc2K6mN1+vRptGnTBpUrV4aFhQV69eqF+/fvy6yzYMECCIKAJ0+eYPjw4bCwsIC5uTlGjBiBjIyMor4a0bFjx5CXl4dOnTrJlGdmZsLS0lJ8bWVlJe7vzZs3mDVrFpYtWwYTE5Mi9925c2e8efMGJ06c+GAcrHT01B0AY+w/wcHBGDFihPjawMAAVlZWaNSoEXx8fDBixAiYmpqWeL8XL15EaGgoJk+eDAsLCyVGzBhj2iMkJAR9+vRBpUqV8Pnnn2Pjxo24evUqPD095db95ZdfkJ6ejrFjx0IQBKxcuRJ9+vTBs2fPoK+vL66Xn5+Prl27wsvLC9999x1OnjyJVatWoVatWhg3blyJYzxx4gSePXuGESNGwM7ODv/++y+2bNmCf//9F5cuXYIgCCXaX2hoKPr27Yv69etj2bJlSExMxIgRI8QEp6CxY8eKv0MTJ05EeHg41q9fj5s3byIsLEz83P7+/li5ciV69uyJrl274vbt2+jatSuysrIKjcHPzw82NjaYN2+eWGN19epVXLx4EQMHDoSTkxMiIiKwceNGtG/fHvfu3YOxsTEAID4+Hh06dEBeXh5mzZqFypUrY8uWLTAyMpJ7n+DgYJiYmGDKlCkwMTHB6dOnMW/ePKSlpSEwMBAAMGfOHKSmpiI6Ohpr1qwBgPcmJSdPnkT37t1Rs2ZNLFiwAJmZmVi3bh1atWqFGzduyA0A0r9/f7i4uGDZsmW4ceMGtm7diqpVq2LFihXv/Z4uXrwIa2trODs7y5R7enpi9erVqFevHp49e4Y//vgDP/74IwBg6dKlcHR0/GDTxfr168PIyAhhYWH47LPP3rsuKyVijGmMoKAgAkALFy6kHTt20E8//URLly6lLl26kCAI5OzsTLdv3y7xfgMDAwkAhYeHKz9oxhjTAteuXSMAdOLECSIikkgk5OTkRJMmTZJZLzw8nACQtbU1JSUlieWHDh0iAHTkyBGxbNiwYeI1u6CmTZuSh4eH+PrMmTMEgM6cOVPoewUFBYllGRkZcrHv2rWLANBff/0llkl/Lz50XXdzcyN7e3tKSUkRy0JDQwkAOTs7i2Xnz58nABQSEiKz/R9//CFTHh8fT3p6etS7d2+Z9RYsWEAAaNiwYXIxtm7dmvLy8mTWL+xz/v333wSAfv75Z7Fs8uTJBIAuX74sliUkJJC5ubnc5y9sn2PHjiVjY2PKysoSy3x8fGQ+u1Rh34ebmxtVrVqVEhMTxbLbt2+Tjo4ODR06VCybP38+AaCRI0fK7POzzz4ja2trufd6V+vWrWXOGak7d+6Qk5MTASAA1LdvX8rPz6dnz56RkZER/f333x/cNxFRnTp1qHv37sValymOmwIypoG6d++OIUOGYMSIEfD398eff/6JkydPIiEhAZ9++ikyMzPVHSJjjGmVkJAQ2NraokOHDgDe9qcZMGAAdu/eLdNUTGrAgAEyTbDatGkDAHj27Jncul999ZXM6zZt2hS6XnEUrInJysrCq1ev0KJFCwDAjRs3SrSvuLg43Lp1C8OGDYO5ublY3rlzZ9SvX19m3X379sHc3BydO3fGq1evxH8eHh4wMTHBmTNnAACnTp1CXl4e/Pz8ZLafMGFCkXGMHj1art9Swc+Zm5uLxMREuLq6wsLCQuZzHj9+HC1atEDz5s3FMhsbGwwePFjufQruMz09Ha9evUKbNm2QkZGBBw8eFBlfUaTHb/jw4bCyshLLGzdujM6dO+P48eNy2xR2LiQmJiItLe2975WYmChzvkk1atQIjx8/xtWrV/H48WPs378fOjo6mDp1Kvr27YsWLVrgwIEDaNKkCVxcXLBw4UIQkdx+LC0t8erVq+J+dKYgTqwY0xIff/wx5s6di8jISOzcuRNA8driL1iwANOnTwcAuLi4iG3KC7Zj37lzJzw8PGBkZAQrKysMHDgQUVFRZfr5GGNMVfLz87F792506NAB4eHhePLkCZ48eQIvLy+8ePECp06dktumevXqMq+lN73v9jcyNDSEjY2N3LrvrldcSUlJmDRpEmxtbWFkZAQbGxtxtLfU1NQS7SsyMhIAULt2bblldevWlXn9+PFjpKamomrVqrCxsZH59/r1ayQkJMjss+DIdcDbvj+FJQYACh2tLjMzE/PmzUO1atVgYGCAKlWqwMbGBikpKTKfMzIysljxA2/7Yn322WcwNzeHmZkZbGxsMGTIEAAlP3bS9y7qvT766CO8evVKbjCO4p43hSksIQLenmPNmjUTj/np06cRGhqK5cuX4+HDhxg4cCAmT56Mn376CRs2bCh0Hi4iKnEzUlZy3MeKMS3yxRdfYPbs2QgNDcXo0aOL1Ra/T58+ePToEXbt2oU1a9agSpUqACDeCCxZsgRz585F//798eWXX+Lly5dYt24d2rZti5s3b3KfLMaY1jt9+jTi4uKwe/du7N69W255SEgIunTpIlNW1Mhw7978FmcEuaJuaAurKevfvz8uXryI6dOnw83NDSYmJpBIJOjWrVuhAzYoi0QiQdWqVYscKfHd5LEkCusPNWHCBAQFBWHy5Mnw9vaGubk5BEHAwIEDFfqcKSkpaNeuHczMzLBw4ULUqlULhoaGuHHjBmbOnKnSY1dQcc+bd1lbWxcr+crPz8ekSZMwa9YsODo6YtGiRWjZsqXYP3vs2LEICQmR6a8NvE3sCktQmXJxYsWYFnFycoK5uTmePn0K4G2H4KlTp8qs06JFC3z++ee4cOEC2rRpg8aNG8Pd3R27du1C7969ZTraRkZGYv78+Vi8eLHMUK19+vRB06ZNsWHDhvcO4coYY9ogJCQEVatWxf/+9z+5ZQcOHMDBgwexadOmQhMAZZDWWqSkpMiUS2tEpJKTk3Hq1CkEBARg3rx5Yvnjx48Vel/pQAiFbf/w4UOZ17Vq1cLJkyfRqlWr9x4H6T6fPHkiUxOVmJhYolq6/fv3Y9iwYTLzK2VlZckdI2dn52LFf/bsWSQmJuLAgQNo27atWF7YpLnFrbmRftZ33wsAHjx4gCpVqqBy5crF2teH1KtXD7/++usH19u4cSPS09Mxbdo0AEBsbCwcHBzE5Q4ODoiJiZHZJi8vD1FRUfj000+VEisrGjcFZEzLmJiYID09HUDp2+IfOHAAEokE/fv3l2lTb2dnh9q1a4tt6hljTFtlZmbiwIED+OSTT9CvXz+5f+PHj0d6ejoOHz6sshicnZ2hq6uLv/76S6Z8w4YNMq+ltR3v1m4UNpltcdjb28PNzQ3bt2+XaQp34sQJ3Lt3T2bd/v37Iz8/H4sWLZLbT15enpjwdOzYEXp6eti4caPMOuvXry9RbLq6unKfc926dXK1eD169MClS5dw5coVsezly5dyNWuFHbucnBy5YwwAlStXLlbTwILHr2DCd/fuXYSGhqJHjx4f3EdxeXt7Izk5+b1985KSkjB//nwEBgbC0NAQAGBrayvTf+z+/fuws7OT2e7evXvIyspCy5YtlRYvKxzXWDGmZV6/fo2qVasCeHuRDQgIwO7du8X271LF+dF4/PgxiKjI5gEFhxRmjDFtdPjwYaSnpxf5tL5FixbiZMEDBgxQSQzm5ubw9fXFunXrIAgCatWqhaNHj8pdt83MzNC2bVusXLkSubm5cHR0RGhoaKG1LsW1bNky+Pj4oHXr1hg5ciSSkpKwbt06NGjQQGbC2Hbt2mHs2LFYtmwZbt26hS5dukBfXx+PHz/Gvn378P3336Nfv36wtbXFpEmTsGrVKnz66afo1q0bbt++jd9//x1VqlQpdm3QJ598gh07dsDc3Bz169fH33//jZMnT8La2lpmvRkzZmDHjh3o1q0bJk2aJA637uzsjDt37ojrtWzZEpaWlhg2bBgmTpwIQRCwY8eOQpvgeXh4YM+ePZgyZQo8PT1hYmKCnj17FhpnYGAgunfvDm9vb4waNUocbt3c3BwLFiwo1mctDh8fH+jp6eHkyZMYM2ZMoevMnTsXjRo1gq+vr1jWt29fLFy4EOPGjYOzszM2b96M1atXy2x34sQJGBsbo3PnzkqLlxWOEyvGtEh0dDRSU1PFDqylbYsvkUggCAJ+//33QtuFv29uD8YY0wYhISEwNDQs8qZSR0cHPj4+CAkJKdUkvB+ybt065ObmYtOmTTAwMED//v0RGBiIhg0byqz3yy+/YMKECfjf//4HIkKXLl3w+++/yzT3Kolu3bph3759+Pbbb+Hv749atWohKCgIhw4dkpuweNOmTfDw8MDmzZsxe/Zs6OnpoUaNGhgyZAhatWolrrdixQoYGxvjxx9/xMmTJ+Ht7Y3Q0FC0bt1arEn5kO+//x66uroICQlBVlYWWrVqhZMnT6Jr164y69nb2+PMmTOYMGECli9fDmtra3z11VdwcHDAqFGjxPWsra1x9OhRTJ06Fd9++y0sLS0xZMgQdOzYUW6ffn5+uHXrFoKCgrBmzRo4OzsXmVh16tQJf/zxB+bPn4958+ZBX18f7dq1w4oVKwodlENRtra26NGjB/bu3VtoYvXPP/9g69atuHz5skx5o0aNEBQUhAULFiA9PR1+fn5y2+/btw99+vRRaB5MVkJqGuadMVYI6ZwfV69eLXT50qVLCQBt3bqVkpKSCAAFBATIrPPo0SMCQPPnzxfLvvvuu0LnO1m5ciUBoIcPHyr7ozDGGKtAkpOTCQAtXrxY3aForb/++ot0dHTo0aNHStvnzZs3SRAEunnzptL2yYrGfawY0xKnT5/GokWL4OLigsGDB5eoLb60c+27nYL79OkDXV1dBAQEyO2HiFT69JYxxph2KmwuRelvT/v27cs2mHKkTZs26NKlC1auXKm0fS5fvhz9+vWDm5ub0vbJisZNARnTQL///jsePHiAvLw8vHjxAqdPn8aJEyfg7OyMw4cPw9DQEIaGhsVui+/h4QEAmDNnDgYOHAh9fX307NkTtWrVwuLFi+Hv74+IiAj07t0bpqamCA8Px8GDBzFmzBhx5CHGGGMMAPbs2YPg4GD06NEDJiYmuHDhAnbt2oUuXbrINBlkJff7778rdX+FTS/AVIcTK8Y0kHSY3UqVKsHKygqNGjXC2rVrMWLECJk20sVti+/p6YlFixZh06ZN+OOPPyCRSBAeHo7KlStj1qxZqFOnDtasWYOAgAAAQLVq1dClSxcempUxxpicxo0bQ09PDytXrkRaWpo4oMXixYvVHRpjaiXQu+1/GGOMMcYYY4yVCPexYowxxhhjjLFS4sSKMcYYY4wxxkqJEyvGGGOMMcYYKyVOrBhjjDHGGGOslDixYowxxhhjjLFS4sSKMcYYY4wxxkqJEyvGGGOMMcYYKyVOrBhjjDHGGGOslDixYowxxhhjjLFS4sSKMcYYY4wxxkqJEyvGGGOMMcYYKyVOrBhjjDHGGGOslDixYowxxhhjjLFS+j+qM9U42gMFCwAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -62364,7 +62630,14 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:08:26.607365Z",
+     "iopub.status.busy": "2026-02-11T21:08:26.607365Z",
+     "iopub.status.idle": "2026-02-11T21:08:26.611357Z",
+     "shell.execute_reply": "2026-02-11T21:08:26.611357Z"
+    }
+   },
    "outputs": [],
    "source": [
     "from rdtools.soiling import CODSAnalysis\n",
@@ -62382,7 +62655,14 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:08:26.614776Z",
+     "iopub.status.busy": "2026-02-11T21:08:26.614776Z",
+     "iopub.status.idle": "2026-02-11T21:09:21.048064Z",
+     "shell.execute_reply": "2026-02-11T21:09:21.048064Z"
+    }
+   },
    "outputs": [],
    "source": [
     "results_df, degradation, soiling_loss = CODS.run_bootstrap(reps=16, bootstrap_seed=42)"
@@ -62391,7 +62671,14 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:09:21.051410Z",
+     "iopub.status.busy": "2026-02-11T21:09:21.050411Z",
+     "iopub.status.idle": "2026-02-11T21:09:22.604868Z",
+     "shell.execute_reply": "2026-02-11T21:09:22.604868Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -62426,53 +62713,53 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2010-02-25 00:00:00-07:00</th>\n",
-       "      <td>0.632635</td>\n",
-       "      <td>0.024614</td>\n",
+       "      <td>0.627275</td>\n",
+       "      <td>0.026595</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.999650</td>\n",
+       "      <td>1.007648</td>\n",
        "      <td>1.000000</td>\n",
-       "      <td>0.547342</td>\n",
-       "      <td>0.963029</td>\n",
+       "      <td>0.536025</td>\n",
+       "      <td>0.984150</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010-02-26 00:00:00-07:00</th>\n",
-       "      <td>0.657248</td>\n",
-       "      <td>0.024612</td>\n",
+       "      <td>0.653869</td>\n",
+       "      <td>0.026593</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.999475</td>\n",
-       "      <td>0.999993</td>\n",
-       "      <td>0.568532</td>\n",
-       "      <td>0.889424</td>\n",
+       "      <td>1.007448</td>\n",
+       "      <td>0.999986</td>\n",
+       "      <td>0.558632</td>\n",
+       "      <td>0.872095</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010-02-27 00:00:00-07:00</th>\n",
-       "      <td>0.681860</td>\n",
-       "      <td>0.024611</td>\n",
+       "      <td>0.680461</td>\n",
+       "      <td>0.026591</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.999299</td>\n",
-       "      <td>0.999986</td>\n",
-       "      <td>0.589713</td>\n",
-       "      <td>0.934689</td>\n",
+       "      <td>1.007246</td>\n",
+       "      <td>0.999971</td>\n",
+       "      <td>0.581226</td>\n",
+       "      <td>0.926182</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010-02-28 00:00:00-07:00</th>\n",
-       "      <td>0.706470</td>\n",
-       "      <td>0.024609</td>\n",
+       "      <td>0.707050</td>\n",
+       "      <td>0.026589</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.999122</td>\n",
-       "      <td>0.999978</td>\n",
-       "      <td>0.610885</td>\n",
-       "      <td>0.945476</td>\n",
+       "      <td>1.007042</td>\n",
+       "      <td>0.999957</td>\n",
+       "      <td>0.603807</td>\n",
+       "      <td>0.930474</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010-03-01 00:00:00-07:00</th>\n",
-       "      <td>0.731079</td>\n",
-       "      <td>0.024608</td>\n",
+       "      <td>0.733638</td>\n",
+       "      <td>0.026587</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.998944</td>\n",
-       "      <td>0.999971</td>\n",
-       "      <td>0.632047</td>\n",
-       "      <td>0.857710</td>\n",
+       "      <td>1.006836</td>\n",
+       "      <td>0.999943</td>\n",
+       "      <td>0.626375</td>\n",
+       "      <td>0.838916</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -62480,25 +62767,25 @@
       ],
       "text/plain": [
        "                           soiling_ratio  soiling_rates  cleaning_events  \\\n",
-       "2010-02-25 00:00:00-07:00       0.632635       0.024614             True   \n",
-       "2010-02-26 00:00:00-07:00       0.657248       0.024612            False   \n",
-       "2010-02-27 00:00:00-07:00       0.681860       0.024611            False   \n",
-       "2010-02-28 00:00:00-07:00       0.706470       0.024609            False   \n",
-       "2010-03-01 00:00:00-07:00       0.731079       0.024608            False   \n",
+       "2010-02-25 00:00:00-07:00       0.627275       0.026595             True   \n",
+       "2010-02-26 00:00:00-07:00       0.653869       0.026593            False   \n",
+       "2010-02-27 00:00:00-07:00       0.680461       0.026591            False   \n",
+       "2010-02-28 00:00:00-07:00       0.707050       0.026589            False   \n",
+       "2010-03-01 00:00:00-07:00       0.733638       0.026587            False   \n",
        "\n",
        "                           seasonal_component  degradation_trend  total_model  \\\n",
-       "2010-02-25 00:00:00-07:00            0.999650           1.000000     0.547342   \n",
-       "2010-02-26 00:00:00-07:00            0.999475           0.999993     0.568532   \n",
-       "2010-02-27 00:00:00-07:00            0.999299           0.999986     0.589713   \n",
-       "2010-02-28 00:00:00-07:00            0.999122           0.999978     0.610885   \n",
-       "2010-03-01 00:00:00-07:00            0.998944           0.999971     0.632047   \n",
+       "2010-02-25 00:00:00-07:00            1.007648           1.000000     0.536025   \n",
+       "2010-02-26 00:00:00-07:00            1.007448           0.999986     0.558632   \n",
+       "2010-02-27 00:00:00-07:00            1.007246           0.999971     0.581226   \n",
+       "2010-02-28 00:00:00-07:00            1.007042           0.999957     0.603807   \n",
+       "2010-03-01 00:00:00-07:00            1.006836           0.999943     0.626375   \n",
        "\n",
        "                           residuals  \n",
-       "2010-02-25 00:00:00-07:00   0.963029  \n",
-       "2010-02-26 00:00:00-07:00   0.889424  \n",
-       "2010-02-27 00:00:00-07:00   0.934689  \n",
-       "2010-02-28 00:00:00-07:00   0.945476  \n",
-       "2010-03-01 00:00:00-07:00   0.857710  "
+       "2010-02-25 00:00:00-07:00   0.984150  \n",
+       "2010-02-26 00:00:00-07:00   0.872095  \n",
+       "2010-02-27 00:00:00-07:00   0.926182  \n",
+       "2010-02-28 00:00:00-07:00   0.930474  \n",
+       "2010-03-01 00:00:00-07:00   0.838916  "
       ]
      },
      "execution_count": 33,
@@ -62522,14 +62809,21 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:09:22.606878Z",
+     "iopub.status.busy": "2026-02-11T21:09:22.606878Z",
+     "iopub.status.idle": "2026-02-11T21:09:22.610884Z",
+     "shell.execute_reply": "2026-02-11T21:09:22.610884Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Avg. Soiling loss 6.128 (4.569, 6.238) (%)\n",
-      "Degradation rate -0.181 (-0.371, -0.027) (%)\n"
+      "Avg. Soiling loss 5.308 (4.538, 6.241) (%)\n",
+      "Degradation rate -0.157 (-0.377, -0.018) (%)\n"
      ]
     }
    ],
@@ -62548,11 +62842,18 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:09:22.613401Z",
+     "iopub.status.busy": "2026-02-11T21:09:22.612418Z",
+     "iopub.status.idle": "2026-02-11T21:09:23.184578Z",
+     "shell.execute_reply": "2026-02-11T21:09:23.184578Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x800 with 3 Axes>"
       ]
diff --git a/docs/TrendAnalysis_example_NSRDB.ipynb b/docs/TrendAnalysis_example_NSRDB.ipynb
index 6c9f6b7d0..ea6915a60 100644
--- a/docs/TrendAnalysis_example_NSRDB.ipynb
+++ b/docs/TrendAnalysis_example_NSRDB.ipynb
@@ -22,7 +22,14 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:01.786485Z",
+     "iopub.status.busy": "2026-02-11T21:10:01.786485Z",
+     "iopub.status.idle": "2026-02-11T21:10:04.789899Z",
+     "shell.execute_reply": "2026-02-11T21:10:04.789899Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -36,7 +43,14 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:04.792911Z",
+     "iopub.status.busy": "2026-02-11T21:10:04.792911Z",
+     "iopub.status.idle": "2026-02-11T21:10:04.802893Z",
+     "shell.execute_reply": "2026-02-11T21:10:04.802893Z"
+    }
+   },
    "outputs": [],
    "source": [
     "#Update the style of plots\n",
@@ -54,7 +68,14 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:04.805921Z",
+     "iopub.status.busy": "2026-02-11T21:10:04.804910Z",
+     "iopub.status.idle": "2026-02-11T21:10:04.808103Z",
+     "shell.execute_reply": "2026-02-11T21:10:04.808103Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Set the random seed for numpy to ensure consistent results\n",
@@ -78,7 +99,14 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:04.811121Z",
+     "iopub.status.busy": "2026-02-11T21:10:04.810117Z",
+     "iopub.status.idle": "2026-02-11T21:10:04.860969Z",
+     "shell.execute_reply": "2026-02-11T21:10:04.860969Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Import the example data\n",
@@ -99,7 +127,14 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:04.865028Z",
+     "iopub.status.busy": "2026-02-11T21:10:04.864011Z",
+     "iopub.status.idle": "2026-02-11T21:10:05.001007Z",
+     "shell.execute_reply": "2026-02-11T21:10:05.001007Z"
+    }
+   },
    "outputs": [],
    "source": [
     "df = df.rename(columns = {\n",
@@ -113,7 +148,7 @@
     "meta = {\"latitude\": 39.7406,\n",
     "        \"longitude\": -105.1774,\n",
     "        \"timezone\": 'Etc/GMT+7',\n",
-    "        \"gamma_pdc\": -0.005,\n",
+    "        \"gamma_pdc\": -0.0034,  # Temperature coefficient for modern silicon PV modules (1/K)\n",
     "        \"azimuth\": 180,\n",
     "        \"tilt\": 40,\n",
     "        \"power_dc_rated\": 1000.0,\n",
@@ -139,7 +174,14 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:05.005012Z",
+     "iopub.status.busy": "2026-02-11T21:10:05.004019Z",
+     "iopub.status.idle": "2026-02-11T21:10:24.689484Z",
+     "shell.execute_reply": "2026-02-11T21:10:24.689484Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -174,7 +216,14 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:24.724572Z",
+     "iopub.status.busy": "2026-02-11T21:10:24.723543Z",
+     "iopub.status.idle": "2026-02-11T21:10:35.051184Z",
+     "shell.execute_reply": "2026-02-11T21:10:35.050661Z"
+    }
+   },
    "outputs": [],
    "source": [
     "solar_position = loc.get_solarposition(times=df.index)\n",
@@ -208,7 +257,14 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:35.054194Z",
+     "iopub.status.busy": "2026-02-11T21:10:35.053195Z",
+     "iopub.status.idle": "2026-02-11T21:10:49.431205Z",
+     "shell.execute_reply": "2026-02-11T21:10:49.431205Z"
+    }
+   },
    "outputs": [],
    "source": [
     "ta = rdtools.TrendAnalysis(df['power'], nsrdb_poa['poa_global'],\n",
@@ -234,7 +290,14 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:49.434219Z",
+     "iopub.status.busy": "2026-02-11T21:10:49.434219Z",
+     "iopub.status.idle": "2026-02-11T21:10:49.437685Z",
+     "shell.execute_reply": "2026-02-11T21:10:49.437685Z"
+    }
+   },
    "outputs": [],
    "source": [
     "ta.set_clearsky(pvlib_location=loc, pv_tilt=meta['tilt'], pv_azimuth=meta['azimuth'], albedo=0.25)\n",
@@ -251,7 +314,14 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:10:49.441207Z",
+     "iopub.status.busy": "2026-02-11T21:10:49.440699Z",
+     "iopub.status.idle": "2026-02-11T21:12:33.366050Z",
+     "shell.execute_reply": "2026-02-11T21:12:33.365498Z"
+    }
+   },
    "outputs": [],
    "source": [
     "ta.sensor_analysis(analyses=['yoy_degradation'])"
@@ -260,7 +330,14 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:12:33.370857Z",
+     "iopub.status.busy": "2026-02-11T21:12:33.370321Z",
+     "iopub.status.idle": "2026-02-11T21:12:33.374763Z",
+     "shell.execute_reply": "2026-02-11T21:12:33.374141Z"
+    }
+   },
    "outputs": [],
    "source": [
     "yoy_results = ta.results['sensor']['yoy_degradation']"
@@ -269,14 +346,21 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:12:33.378526Z",
+     "iopub.status.busy": "2026-02-11T21:12:33.378526Z",
+     "iopub.status.idle": "2026-02-11T21:12:33.382293Z",
+     "shell.execute_reply": "2026-02-11T21:12:33.382293Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.394\n",
-      "[-0.939  0.102]\n"
+      "-0.286\n",
+      "[-0.603  0.12 ]\n"
      ]
     }
    ],
@@ -289,11 +373,18 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-11T21:12:33.385992Z",
+     "iopub.status.busy": "2026-02-11T21:12:33.385466Z",
+     "iopub.status.idle": "2026-02-11T21:12:33.840480Z",
+     "shell.execute_reply": "2026-02-11T21:12:33.840480Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
diff --git a/docs/degradation_and_soiling_example.ipynb b/docs/degradation_and_soiling_example.ipynb
index 1d4b23f43..d9c43099e 100644
--- a/docs/degradation_and_soiling_example.ipynb
+++ b/docs/degradation_and_soiling_example.ipynb
@@ -28,7 +28,14 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:26:13.141622Z",
+     "iopub.status.busy": "2026-02-04T19:26:13.140622Z",
+     "iopub.status.idle": "2026-02-04T19:26:17.065980Z",
+     "shell.execute_reply": "2026-02-04T19:26:17.065980Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -42,7 +49,14 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:26:17.068991Z",
+     "iopub.status.busy": "2026-02-04T19:26:17.068991Z",
+     "iopub.status.idle": "2026-02-04T19:26:17.080496Z",
+     "shell.execute_reply": "2026-02-04T19:26:17.079990Z"
+    }
+   },
    "outputs": [],
    "source": [
     "#Update the style of plots\n",
@@ -60,7 +74,14 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:26:17.083512Z",
+     "iopub.status.busy": "2026-02-04T19:26:17.083512Z",
+     "iopub.status.idle": "2026-02-04T19:26:17.085952Z",
+     "shell.execute_reply": "2026-02-04T19:26:17.085952Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Set the random seed for numpy to ensure consistent results\n",
@@ -86,7 +107,14 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:26:17.087964Z",
+     "iopub.status.busy": "2026-02-04T19:26:17.087964Z",
+     "iopub.status.idle": "2026-02-04T19:27:47.520756Z",
+     "shell.execute_reply": "2026-02-04T19:27:47.520756Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -123,7 +151,7 @@
     "meta = {\"latitude\": 39.7406,\n",
     "        \"longitude\": -105.1774,\n",
     "        \"timezone\": 'Etc/GMT+7',\n",
-    "        \"gamma_pdc\": -0.005,\n",
+    "        \"gamma_pdc\": -0.0034,  # Temperature coefficient for modern silicon PV modules (1/K)\n",
     "        \"azimuth\": 180,\n",
     "        \"tilt\": 40,\n",
     "        \"power_dc_rated\": 1000.0,\n",
@@ -166,7 +194,14 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:27:47.574769Z",
+     "iopub.status.busy": "2026-02-04T19:27:47.573846Z",
+     "iopub.status.idle": "2026-02-04T19:28:55.133218Z",
+     "shell.execute_reply": "2026-02-04T19:28:55.132714Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -202,11 +237,18 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:28:55.141223Z",
+     "iopub.status.busy": "2026-02-04T19:28:55.141223Z",
+     "iopub.status.idle": "2026-02-04T19:30:37.831763Z",
+     "shell.execute_reply": "2026-02-04T19:30:37.830763Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -252,11 +294,18 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:30:37.835763Z",
+     "iopub.status.busy": "2026-02-04T19:30:37.835763Z",
+     "iopub.status.idle": "2026-02-04T19:31:13.058697Z",
+     "shell.execute_reply": "2026-02-04T19:31:13.058188Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -300,7 +349,14 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:31:13.063214Z",
+     "iopub.status.busy": "2026-02-04T19:31:13.062204Z",
+     "iopub.status.idle": "2026-02-04T19:31:13.552492Z",
+     "shell.execute_reply": "2026-02-04T19:31:13.551984Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Apply an artificial clipping signal to a subset of the data\n",
@@ -316,8 +372,44 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:31:13.558508Z",
+     "iopub.status.busy": "2026-02-04T19:31:13.557508Z",
+     "iopub.status.idle": "2026-02-04T19:31:14.936742Z",
+     "shell.execute_reply": "2026-02-04T19:31:14.936742Z"
+    }
+   },
    "outputs": [
+    {
+     "data": {
+      "text/html": [
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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),q=Math.round(z+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var Y=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var K,J,$,Q,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(O+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*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),K=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ht;\"x\"===et?($=e[et],K=dt?it._offset+it._length*$:K=T.l+T.w*$):($=1-e[et],K=dt?it._offset+it._length*$:K=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=K;var 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bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:\"rotate(\"+O+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){P.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(O,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+O+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),D&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,\"y\",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",W(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},33652:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(72196),o=r(3400),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void D();var C=p.getPointAtLength(0),O=p.getPointAtLength(.1);f=Math.atan2(C.y-O.y,C.x-O.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var P=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(P.y-I.y,P.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",L)}function D(){t.style(\"stroke-dasharray\",\"0px,100px\")}function z(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}m&&z(v,o,f,y),x&&z(d,c,h,g)}},79180:function(t,e,r){\"use strict\";var n=r(23816),i=r(42300);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(13916),supplyLayoutDefaults:r(45216),includeBasePlot:r(36632)(\"annotations\"),calcAutorange:r(90272),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(26828)}},45899:function(t,e,r){\"use strict\";var n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},52808:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(45899);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use strict\";t.exports=r(38700),r(15168),r(67020),r(89792),r(55668),r(65168),r(2084),r(26368),r(24747),r(65616),r(30632),r(73040),r(1104),r(51456),r(4592),r(45348)},97776:function(t,e,r){\"use strict\";var n=r(54976),i=r(3400),a=r(39032),o=a.EPOCHJD,s=a.ONEDAY,l={valType:\"enumerated\",values:i.sortObjectKeys(n.calendars),editType:\"calc\",dflt:\"gregorian\"},u=function(t,e,r,n){var a={};return a[r]=l,i.coerce(t,e,a,r,n)},c=\"##\",f={d:{0:\"dd\",\"-\":\"d\"},e:{0:\"d\",\"-\":\"d\"},a:{0:\"D\",\"-\":\"D\"},A:{0:\"DD\",\"-\":\"DD\"},j:{0:\"oo\",\"-\":\"o\"},W:{0:\"ww\",\"-\":\"w\"},m:{0:\"mm\",\"-\":\"m\"},b:{0:\"M\",\"-\":\"M\"},B:{0:\"MM\",\"-\":\"MM\"},y:{0:\"yy\",\"-\":\"yy\"},Y:{0:\"yyyy\",\"-\":\"yyyy\"},U:c,w:c,c:{0:\"D M d %X yyyy\",\"-\":\"D M d %X yyyy\"},x:{0:\"mm/dd/yyyy\",\"-\":\"mm/dd/yyyy\"}},h={};function p(t){var e=h[t];return e||(h[t]=n.instance(t))}function d(t){return i.extendFlat({},l,{description:t})}function v(t){return\"Sets the calendar system to use with `\"+t+\"` date data.\"}var g={xcalendar:d(v(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(v(\"y\"))}),m=i.extendFlat({},y,{zcalendar:d(v(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. 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e?e.ypx:J[0]._length/2;if(e.pointerX=bt+K[0]._offset,e.pointerY=_t+J[0]._offset,nt=\"xval\"in e?x.flat(b,e.xval):x.p2c(K,bt),it=\"yval\"in e?x.flat(b,e.yval):x.p2c(J,_t),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ft=S,x.isUnifiedHover(ft)&&(ft=ft.charAt(0)),\"splom\"===lt.type?ut=b[ct=0]:(ut=x.getSubplot(lt),ct=b.indexOf(ut)),dt={cd:st,trace:lt,xa:K[ct],ya:J[ct],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},_[ut]&&(dt.subplot=_[ut]._subplot),_._splomScenes&&_._splomScenes[lt.uid]&&(dt.scene=_._splomScenes[lt.uid]),\"array\"===ft){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ft=\"closest\"):(ft=\"\",\"xval\"in a&&(ht=a.xval,ft=\"x\"),\"yval\"in a&&(pt=a.yval,ft=ft?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ht=r,pt=n):(ht=nt[ct],pt=it[ct]);if(vt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ht,pt,ft,{finiteRange:!0,hoverLayer:_._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>vt&&(gt.splice(0,vt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var c=lt._module.hoverPoints(dt,ht,pt,\"closest\",{hoverLayer:_._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=rt}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=Et(p),(!mt.vLinePoint||mt.vLinePoint.spikeDistance>f.spikeDistance)&&(mt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=Et(g),(!mt.hLinePoint||mt.hLinePoint.spikeDistance>f.spikeDistance)&&(mt.hLinePoint=f))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Lt={fullLayout:_,container:_._hoverlayer,event:e},Ct=t._spikepoints,Ot={vLinePoint:mt.vLinePoint,hLinePoint:mt.hLinePoint};t._spikepoints=Ot;var Pt=function(){var t=gt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var It=S.charAt(0),Dt=(\"x\"===It||\"y\"===It)&&gt[0]&&O[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var zt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Dt);mt.hLinePoint=Et(zt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Dt);mt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=v.unhoverRaw(t,e);return!M||null===mt.hLinePoint&&null===mt.vLinePoint||U(Ct)&&j(t,mt,Lt),Ft}if(M&&U(Ct)&&j(t,mt,Lt),x.isXYhover(ft)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=C[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,_),q(\"y\",Bt,_));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=C[t.trace.type]?I(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Wt=[],Yt=H(t),Xt=G(t);for(at=0;at<gt.length;at++){var Zt=gt[at],Kt=x.makeEventData(Zt,Zt.trace,Zt.cd);if(!1!==Zt.hovertemplate){var Jt=!1;Zt.cd[Zt.index]&&Zt.cd[Zt.index].ht&&(Jt=Zt.cd[Zt.index].ht),Zt.hovertemplate=Jt||Zt.trace.hovertemplate||!1}if(Zt.xa&&Zt.ya){var $t=Zt.x0+Zt.xa._offset,Qt=Zt.x1+Zt.xa._offset,te=Zt.y0+Zt.ya._offset,ee=Zt.y1+Zt.ya._offset,re=Math.min($t,Qt),ne=Math.max($t,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);Kt.bbox={x0:re+Xt,x1:ne+Xt,y0:ie+Yt,y1:ae+Yt}}Zt.eventData=[Kt],Wt.push(Kt)}t._hoverdata=Wt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(_.plot_bgcolor||d.background,_.paper_bgcolor),le=z(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:_._hoverlayer,outerContainer:_._paper.node(),commonLabelOpts:_.hoverlabel,hoverdistance:_.hoverdistance}),ue=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var 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=F(t,e),v=t.anchor,k=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);u=t.crossPos+Math.min(M,S),c=t.crossPos+Math.max(M,S)}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 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],L=M[M.length-1],C=S[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var O=g[s];for(l=O.length-1;l>=0;l--){var P=O[l],I=P.datum;I.offset=P.dp,I.del=P.del}}}(ue,oe,_,le.commonLabelBoundingBox),B(ue,oe,_._invScaleX,_._invScaleY)),l&&l.tagName){var ce=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Wt);h(n.select(l),ce?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:K,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=z(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(m.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;c+=y,f+=y,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var D=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||b.HOVERFONT,k=e.fontSize||b.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,C=e.fontTextcase||i.font.textcase,O=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,D=t[0],z=D.xa,F=D.ya,B=a.charAt(0),N=B+\"Label\",j=D[N];if(void 0===j&&\"multicategory\"===z.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=W(r,v),q=V.top,H=V.width,G=V.height,Y=void 0!==j&&D.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(Y){var X,Z,K=!0;for(X=0;X<t.length;X++)if(K&&void 0===t[X].zLabel&&(K=!1),Z=t[X].hoverinfo||t[X].trace.hoverinfo){var J=Array.isArray(Z)?Z:Z.split(\"+\");if(-1===J.indexOf(\"all\")&&-1===J.indexOf(a)){Y=!1;break}}K&&(Y=!1)}var $=h.selectAll(\"g.axistext\").data(Y?[0]:[]);$.enter().append(\"g\").classed(\"axistext\",!0),$.exit().remove();var Q={minX:0,maxX:0,minY:0,maxY:0};if($.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v=g.font,m={weight:v.weight||A,style:v.style||M,variant:v.variant||S,textcase:v.textcase||C,lineposition:v.lineposition||O,shadow:v.shadow||P,family:v.family||y,size:v.size||k,color:v.color||h};e.style({fill:u,stroke:c}),s.text(j).call(p.font,m).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var x,b,_=W(r,s.node());if(\"x\"===a){var w=\"top\"===z.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===z.side?q-_.bottom-E-L:q-_.top+E+L),x=z._offset+(D.x0+D.x1)/2,b=F._offset+(\"top\"===z.side?0:F._length);var T=_.width/2+L,I=x;x<T?I=T:x>i.width-T&&(I=i.width-T),e.attr(\"d\",\"M\"+(x-I)+\",0L\"+(x-I+E)+\",\"+w+E+\"H\"+T+\"v\"+w+(2*L+_.height)+\"H\"+-T+\"V\"+w+E+\"H\"+(x-I-E)+\"Z\"),x=I,Q.minX=x-T,Q.maxX=x+T,\"top\"===z.side?(Q.minY=b-(2*L+_.height),Q.maxY=b-L):(Q.minY=b+L,Q.maxY=b+(2*L+_.height))}else{var R,B,N;\"right\"===F.side?(R=\"start\",B=1,N=\"\",x=z._offset+z._length):(R=\"end\",B=-1,N=\"-\",x=z._offset),b=F._offset+(D.y0+D.y1)/2,s.attr(\"text-anchor\",R),e.attr(\"d\",\"M0,0L\"+N+E+\",\"+E+\"V\"+(L+_.height/2)+\"h\"+N+(2*L+_.width)+\"V-\"+(L+_.height/2)+\"H\"+N+E+\"V-\"+E+\"Z\"),Q.minY=b-(L+_.height/2),Q.maxY=b+(L+_.height/2),\"right\"===F.side?(Q.minX=x+E,Q.maxX=x+E+(2*L+_.width)):(Q.minX=x-E-(2*L+_.width),Q.maxX=x-E);var 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et=i.hoverlabel,rt=et.font,nt={showlegend:!0,legend:{title:{text:j,font:rt},font:rt,bgcolor:et.bgcolor,bordercolor:et.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},it={font:rt};_(nt,it,r._fullData);var at=it.legend;at.entries=[];for(var ot=0;ot<tt.length;ot++){var st=tt[ot];if(\"none\"!==st.hoverinfo){var lt=R(st,!0,a,i,j),ut=lt[0],ct=lt[1];st.name=ct,st.text=\"\"!==ct?ct+\" : \"+ut:ut;var ft=st.cd[st.index];ft&&(ft.mc&&(st.mc=ft.mc),ft.mcc&&(st.mc=ft.mcc),ft.mlc&&(st.mlc=ft.mlc),ft.mlcc&&(st.mlc=ft.mlcc),ft.mlw&&(st.mlw=ft.mlw),ft.mrc&&(st.mrc=ft.mrc),ft.dir&&(st.dir=ft.dir)),st._distinct=!0,at.entries.push([st])}}at.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),at.layer=h,at._inHover=!0,at._groupTitleFont=et.grouptitlefont,w(r,at);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var 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 h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,\"hoverinfo\",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.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=P(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.indentation+i.itemwidth+2*v,y=2*(h+v),m=O(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 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P=S,I=E;S=k?i.constrain(S,0,d.width-h._width):P,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var D=h._effHeight;T&&(D=h._height),U.attr({width:h._width-_,height:D-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:D-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(z=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,z,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(t){if(t.target!==G.node()){var e=u.getTranslate(N);m=e.x,x=e.y}},moveFn:function(t,r){if(void 0!==m&&void 0!==x){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)}},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=P(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.indentation+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 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function O(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(t,\"png\"===e?\"Download plot as a png\":\"Download plot\")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||\"png\"};l.notifier(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  Changing format to svg.\"),\"long\"),r.format=\"svg\"),[\"filename\",\"width\",\"height\",\"scale\"].forEach((function(t){t in e&&(r[t]=e[t])})),n.call(\"downloadImage\",t,r).then((function(e){l.notifier(u(t,\"Snapshot succeeded\")+\" - \"+e,\"long\")})).catch((function(){l.notifier(u(t,\"Sorry, there was a problem downloading your snapshot!\"),\"long\")}))}},c.sendDataToCloud={name:\"sendDataToCloud\",title:function(t){return u(t,\"Edit in Chart Studio\")},icon:o.disk,click:function(t){i.sendDataToCloud(t)}},c.editInChartStudio={name:\"editInChartStudio\",title:function(t){return u(t,\"Edit in Chart Studio\")},icon:o.pencil,click:function(t){i.sendDataToCloud(t)}},c.zoom2d={name:\"zoom2d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"dragmode\",val:\"zoom\",icon:o.zoombox,click:f},c.pan2d={name:\"pan2d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var O=[],P=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(P=[\"toggleHover\"],I=[\"resetViews\"]):y?(O=[\"zoomInGeo\",\"zoomOutGeo\"],P=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(P=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(O=[\"zoomInMapbox\",\"zoomOutMapbox\"],P=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?P=[\"hoverClosestGl2d\"]:m?P=[\"hoverClosestPie\"]:A?(P=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):P=[\"toggleHover\"],v&&P.push(\"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)&&(P=[]),!v&&!b||M||(O=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==P.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(O.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)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).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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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(25376),i=r(22548),a=(0,r(31780).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\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);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)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).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}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200: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))}}},74636:function(t){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);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)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(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 m(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 x(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+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],O=l._rl[1],P=O-C;if(l.p2d=function(t){return t/l._width*P+C},l.d2p=function(t){return(t-C)/P*l._width},r.rangebreaks){var I=r.locateBreaks(C,O);if(I.length){var D,z,R=0;for(D=0;D<I.length;D++)R+=(z=I[D]).max-z.min;var F=l._width/(O-C-R),B=[-F*C];for(D=0;D<I.length;D++)z=I[D],B.push(B[B.length-1]-F*(z.max-z.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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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}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);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 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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)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).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\"}}},81004:function(t){\"use 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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():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).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)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,O=r(73696),P=r(39172).redrawReglTraces,I=r(83280),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(5840),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)){W(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 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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 O=lt(v,S[L]),P=lt(m,E[L]);h.push([O,P]),l=Math.min(O,l),u=Math.max(O,u),c=Math.min(P,c),f=Math.max(P,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 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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(),O=n.plotinfo,P=j(O),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 q,H,X,K,J,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);W(t,k,n),c&&(q=z([[F,B]],I.BENDPX));var bt=E.selectAll(\"path.select-outline-\"+O.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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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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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],O=n[l][1],P=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),O=v(y.xaxis,O),P=v(y.xaxis,P),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=(O+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-O+P-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-(d.x0shift||0)),f(\"x1\",v.x1-(d.x1shift||0)),f(\"y0\",v.y0-(d.y0shift||0)),f(\"y1\",v.y1-(d.y1shift||0));break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936: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}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var u=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(u(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return 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 s,l,u,c,f,h,p,d,v=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),m=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),b=t._fullLayout._size,_=o(m,r.x0shift),w=o(m,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(m?\"domain\"===g?l=function(t){return m._offset+m._length*t}:(s=e.shapePositionToRange(m),l=function(t){return m._offset+m.r2p(s(t,!0))}):l=function(t){return b.l+b.w*t},x?\"domain\"===y?c=function(t){return x._offset+x._length*(1-t)}:(u=e.shapePositionToRange(x),c=function(t){return x._offset+x.r2p(u(t,!0))}):c=function(t){return b.t+b.h*(1-t)},\"path\"===v)return m&&\"date\"===m.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(c=e.decodeDate(c)),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,l,c);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);f=A+r.x0+_,h=A+r.x1+w}else f=l(r.x0)+_,h=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=c(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=c(r.y0)+T,d=c(r.y1)+k;if(\"line\"===v)return\"M\"+f+\",\"+p+\"L\"+h+\",\"+d;if(\"rect\"===v)return\"M\"+f+\",\"+p+\"H\"+h+\"V\"+d+\"H\"+f+\"Z\";var S=(f+h)/2,E=(p+d)/2,L=Math.abs(S-f),C=Math.abs(E-p),O=\"A\"+L+\",\"+C,P=S+L+\",\"+E;return\"M\"+P+O+\" 0 1,1 \"+S+\",\"+(E-C)+O+\" 0 0,1 \"+P+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728: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){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}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:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),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\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var 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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a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function O(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+f.groupClassName).each(l)})).remove(),0!==a.length){var u=s.selectAll(\"g.\"+f.groupClassName).data(a,y);u.enter().append(\"g\").classed(f.groupClassName,!0),u.exit().each(l).remove();for(var c=0;c<a.length;c++){var h=a[c];m(t,h)}u.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(O,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},97544:function(t,e,r){\"use strict\";var n=r(60876);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(89861),supplyLayoutDefaults:r(8132),draw:r(79664)}},81668:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(7316),o=r(24040),s=r(3400),l=s.strTranslate,u=r(43616),c=r(76308),f=r(72736),h=r(13448),p=r(84284).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var 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n=r(25376),i=r(22548),a=r(92880).extendFlat,o=r(67824).overrideAll,s=r(66741),l=r(31780).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},73712:function(t){\"use 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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,O=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,I=d+v,D=g;I+O>l&&(I=l-O);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:O,height:P}),this._vbarYMin=D+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+O+.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 q=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(q),C&&this.vbar.on(\".drag\",null).call(q)}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 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==D&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(U,t,t._definedDelta),t.rangebreaks){var gt=\"y\"===t._id.charAt(0),yt=1;\"auto\"===t.tickmode&&(yt=t.tickfont?t.tickfont.size:12);var mt=NaN;for(a=N.length-1;a>-1;a--)if(N[a].drop)N.splice(a,1);else{N[a].value=Ft(N[a].value,t);var xt=t.c2p(N[a].value);(gt?mt>xt-yt:mt<xt+yt)?N.splice(v?a+1:a,1):mt=xt}}Rt(t)&&360===Math.abs(d[1]-d[0])&&N.pop(),t._tmax=(N[N.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var bt,_t=function(e){e.text=\"\",t._prevDateHead=o};function wt(t,e){var r=W.tickText(t,e.value,!1,e.simpleLabel),n=e.periodX;return void 0!==n&&(r.periodX=n,(n>z||n<I)&&(n>z&&(r.periodX=z),n<I&&(r.periodX=I),_t(r))),r}for(N=N.concat(j),a=0;a<N.length;a++){var 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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&&(bt(t.exponentformat)&&!_t(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function mt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontTextcase:n.textcase,fontLineposition:n.lineposition,fontShadow:n.shadow,fontColor:n.color}}W.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*gt(e,n,ut);else if(o>T)e/=T,t.dtick=\"M\"+gt(e,1,ct);else if(o>M){if(t.dtick=gt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ht),!r){var l=W.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=gt(e,E,ct):o>L?t.dtick=gt(e,L,ft):o>C?t.dtick=gt(e,C,ft):(n=a(10),t.dtick=gt(e,n,ut))}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\"+gt(e,n,ut)}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))):Rt(t)?(t.tick0=0,n=1,t.dtick=gt(e,n,vt)):(t.tick0=0,n=a(10),t.dtick=gt(e,n,ut));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: 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a=t._tickround,o=r&&t.hoverformat||W.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=Bt(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=wt(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||bt(p)&&_t(f)?(e.text=0===f?1:1===f?\"10\":\"10<sup>\"+(f>1?\"\":I)+h+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&h>2?e.text=\"1\"+p+(f>0?\"+\":I)+h:(e.text=wt(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,g):\"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+\" - 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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,O=L,P=Math.abs(E-L),I=L-P*h*1.0001,D=L+P*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>O&&(O=F);h/=(O-C)/(2*P),C=l.l2r(C),O=l.l2r(O),l.range=l._input.range=S<E?[C,O]:[O,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 r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},51184:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400),a=i.numberFormat,o=r(49760),s=r(89184),l=r(24040),u=i.strTranslate,c=r(72736),f=r(76308),h=r(43616),p=r(93024),d=r(54460),v=r(93972),g=r(86476),y=r(72760),m=y.selectingOrDrawing,x=y.freeMode,b=r(84284).FROM_TL,_=r(73696),w=r(39172).redrawReglTraces,T=r(7316),k=r(79811).getFromId,A=r(22676).prepSelect,M=r(22676).clearOutline,S=r(22676).selectOnClick,E=r(21160),L=r(33816),C=L.MINDRAG,O=L.MINZOOM,P=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){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 q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){P&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),P=!1)}function G(t){var 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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 X(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 P,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(P=e.xaxis,I=e.yaxis,tt=P._length,et=I._length,$=P._offset,Q=I._offset,(V={})[P._id]=P,(Z={})[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;Z[a._id]=a}K=X(V),J=X(Z),it=z(K,y),at=z(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,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,Ot={element:bt,gd:t,plotinfo:e};function Pt(){Ot.plotinfo.selection=!1,M(t)}function It(t,r){var i=Ot.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Ot),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:P,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>O||o>O?(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>O||o>O){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 s();else!at||o<Math.min(Math.max(.6*a,C),O)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-O-.5)+\"h-3v\"+(2*O+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-O-.5)+\"h3v\"+(2*O+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,O)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-O-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*O+1)+\"v3ZM\"+(e-O-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*O+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),q(t),Gt(),H(t)}Ot.prepFn=function(e,r,n){var a=Ot.dragmode,s=t._fullLayout.dragmode;s!==a&&(Ot.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)?Ot.minDrag=1:Ot.minDrag=void 0,m(s)?(Ot.xaxes=K,Ot.yaxes=J,A(e,r,n,Ot,s)):(Ot.clickFn=It,m(a)&&Pt(),ot||(\"zoom\"===s?(Ot.moveFn=Dt,Ot.doneFn=Rt,Ot.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&&(Ot.moveFn=Ut,Ot.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Ot.moveFn(e.dx,e.dy))}}},g.init(Ot);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(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),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(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,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<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[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)),Wt([o,s,f,h]),qt(),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:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var 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n=r(33428),i=r(83356),a=i.geoPath,o=i.geoDistance,s=r(87108),l=r(24040),u=r(3400),c=u.strTranslate,f=r(76308),h=r(43616),p=r(93024),d=r(7316),v=r(54460),g=r(19280).getAutoRange,y=r(86476),m=r(22676).prepSelect,x=r(22676).clearOutline,b=r(22676).selectOnClick,_=r(79248),w=r(79552),T=r(27144),k=r(59972),A=r(55712).NO;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var 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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}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);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 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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)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),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)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).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}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),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)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).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\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),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,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!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\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),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.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],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.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],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),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"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),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"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}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,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})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).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\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),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}},87152: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(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424: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])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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\"+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 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,O=s.radialAxis,P=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var 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I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,D=null,z=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==D?t[i.id+\".radialaxis.angle\"]=D:null!==z&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=z)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==D?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",D):null!==z&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",z)}function H(t,e){if(0!==r){var n=b+t,a=_+e;D=Math.atan2(d-a,n-p),i.vangles&&(D=U(D,i.vangles)),D=F(D);var o=l(p,d)+s(-D);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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v.coerceEnumerated(x,r)}(z,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],z),G=d.getInsideTextFont(z,i,q,H),W=d.getOutsideTextFont(z,i,q),Y=z.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&X.s0<=0&&(f=P.range[0]<P.range[1]?P._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=D(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=D(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=z.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"outside\"===z.constraintext,angle:lt}):O(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===z.constraintext||\"inside\"===z.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===z.type?\"bar\":z.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,P,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,z,e,g)},toMoveInsideBar:O}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},60100:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(43616),o=r(3400),s=r(24040),l=r(82744).resizeText,u=r(20832),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(60444);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var i=n._fullLayout.font,a=r.textfont;if(t.classed(\"bartext-inside\")){var o=_(e,r);a=m(r,e.i,i,o)}else t.classed(\"bartext-outside\")&&(a=x(r,e.i,i));return 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86040:function(t,e,r){\"use strict\";var n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).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\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),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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P=C.selectAll(\"text\").data(O);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}P.enter().append(\"text\"),P.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),P.exit().remove();var D,z=v.mode+v.align;if(v._hasDelta&&(D=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((y+g)/2-t/2*(g-y)).outerRadius((y+g)/2+t/2*(g-y)).startAngle(-E)}function O(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var P=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},I={},D=d.makeLabelFns(o,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*D},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(D+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*c)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var z=function(t){return l(b[0]+g*Math.cos(t),b[1]-g*Math.sin(t))};f=function(t){return z(P(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=P(t);return z(e)+\"rotate(\"+-u(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:I})}var F=[m].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(O).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(O).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(O).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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P=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?P.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var I=r.filter((function(){return c.gauge.threshold.value||0===c.gauge.threshold.value})),D=f.selectAll(\"g.threshold-bullet\").data(I);D.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),D.select(\"line\").attr(\"x1\",i.c2p(c.gauge.threshold.value)).attr(\"x2\",i.c2p(c.gauge.threshold.value)).attr(\"y1\",(1-c.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-c.gauge.threshold.thickness)/2)*A).call(m.stroke,c.gauge.threshold.line.color).style(\"stroke-width\",c.gauge.threshold.line.width),D.exit().remove();var z=f.selectAll(\"g.gauge-outline\").data([g]);z.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),z.select(\"rect\").call(L).call(T),z.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:O,transitionOpts:r,onComplete:g});var K=I.selectAll(\"text.title\").data(e);K.exit().remove(),K.enter().append(\"text\").classed(\"title\",!0),K.attr(\"text-anchor\",(function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},74212:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(27260),o=r(52948);t.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function u(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return t&&t.length===e[0].length}))&&e}u([\"x\",\"y\",\"z\"])?(u([\"i\",\"j\",\"k\"]),(!e.i||e.j&&e.k)&&(!e.j||e.k&&e.i)&&(!e.k||e.i&&e.j)?(n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],s),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"alphahull\",\"delaunayaxis\",\"opacity\"].forEach((function(t){l(t)})),l(\"contour.show\")&&(l(\"contour.color\"),l(\"contour.width\")),\"intensity\"in 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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o=r(\"x\"),s=r(\"open\"),l=r(\"high\"),u=r(\"low\"),c=r(\"close\");if(r(\"hoverlabel.split\"),n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\"],a),s&&l&&u&&c){var f=Math.min(s.length,l.length,u.length,c.length);return o&&(f=Math.min(f,i.minRowLength(o))),e._length=f,f}}},36664:function(t,e,r){\"use strict\";var n=r(33428),i=r(3400);t.exports=function(t,e,r,a){var o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var u=a.tickLen,c=e.selectAll(\"path\").data(i.identity);c.enter().append(\"path\"),c.exit().remove(),c.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-u,!0),r=s.c2p(t.pos+u,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},97384:function(t){\"use strict\";t.exports=function(t,e){var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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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\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").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\",O).on(\"drag\",P).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 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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 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).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)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*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 p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(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 g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,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;s*=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 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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},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,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(7316);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)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),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}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(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\",i.isArrayOrTypedArray(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\")}else\"none\"===p&&l(\"textposition\",\"none\");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}}},53644:function(t,e,r){\"use strict\";var n=r(10624).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}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);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)}},69656:function(t,e,r){\"use strict\";var n=r(3400);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(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);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\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).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,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,c=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,f=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,h=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u,textcase:c,lineposition:f,shadow:h}}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=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,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=O(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function O(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(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-=O(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=O(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])+O(i.px0,i.pxmid,!0,1)+O(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+O(i.px0,i.pxmid,!1,k)+O(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=O(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])+O(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,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(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 O(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 e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),O=(.5*S-v.r)/h.w,P=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-O,xr:M.x[1]+O,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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r.update(e),r}},41904:function(t,e,r){\"use strict\";var n=r(3400),i=r(35484);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},156:function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" \"),t.exports={attributes:r(35484),supplyDefaults:r(41904),calc:r(41484),plot:r(11072),moduleType:\"trace\",name:\"pointcloud\",basePlotModule:r(39952),categories:[\"gl\",\"gl2d\",\"showLegend\"],meta:{}}},41440:function(t,e,r){\"use strict\";var n=r(25376),i=r(45464),a=r(22548),o=r(55756),s=r(86968).u,l=r(21776).Ks,u=r(49084),c=r(31780).templatedArray,f=r(29736).descriptionOnlyNumbers,h=r(92880).extendFlat,p=r(67824).overrideAll;(t.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({autoShadowDflt:!0}),customdata:void 0,node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),align:{valType:\"enumerated\",values:[\"justify\",\"left\",\"right\",\"center\"],dflt:\"justify\"}},link:{arrowlen:{valType:\"number\",min:0,dflt:0},label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},hovercolor:{valType:\"color\",arrayOk:!0},customdata:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:a.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:c(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:h(u().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 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x=0;for(e=0;e<a.value.length;e++)a.source[e]>x&&(x=a.source[e]),a.target[e]>x&&(x=a.target[e]);var b,_=x+1;t.node._count=_;var w=t.node.groups,T={};for(e=0;e<w.length;e++){var k=w[e];for(b=0;b<k.length;b++){var A=k[b],M=_+e;T.hasOwnProperty(A)?i.warn(\"Node \"+A+\" is already part of a group.\"):T[A]=M}}var S={source:[],target:[]};for(e=0;e<a.value.length;e++){var E=a.value[e],L=a.source[e],C=a.target[e];if(E>0&&s(L,_)&&s(C,_)&&(!T.hasOwnProperty(L)||!T.hasOwnProperty(C)||T[L]!==T[C])){T.hasOwnProperty(C)&&(C=T[C]),T.hasOwnProperty(L)&&(L=T[L]),C=+C,p[L=+L]=p[C]=!0;var O=\"\";a.label&&a.label[e]&&(O=a.label[e]);var P=null;O&&d.hasOwnProperty(O)&&(P=d[O]),u.push({pointNumber:e,label:O,color:c?a.color[e]:a.color,hovercolor:f?a.hovercolor[e]:a.hovercolor,customdata:h?a.customdata[e]:a.customdata,concentrationscale:P,source:L,target:C,value:+E}),S.source.push(L),S.target.push(C)}}var I=_+w.length,D=o(r.color),z=o(r.customdata),R=[];for(e=0;e<I;e++)if(p[e]){var F=r.label[e];R.push({group:e>_-1,childrenNodes:[],pointNumber:e,label:F,color:D?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var B=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(i.isIndex(e[o],t)&&i.isIndex(r[o],t)){if(e[o]===r[o])return!0;a[e[o]].push(r[o])}return n(a).components.some((function(t){return t.length>1}))}(I,S.source,S.target)&&(B=!0),{circular:B,links:u,nodes:R,groups:w,groupLookup:T}}(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},11820:function(t){\"use 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n.coerce(v,g,i.node,t,e)}y(\"label\"),y(\"groups\"),y(\"x\"),y(\"y\"),y(\"pad\"),y(\"thickness\"),y(\"line.color\"),y(\"line.width\"),y(\"hoverinfo\",t.hoverinfo),l(v,g,y,d),y(\"hovertemplate\"),y(\"align\");var m=h.colorway;y(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return m[t%m.length]}(e),.8)}))),y(\"customdata\");var x=t.link||{},b=u.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"arrowlen\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333,k=_(\"color\",T?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 0.2)\");function A(t){var e=o(t);if(!e.isValid())return t;var r=e.getAlpha();return 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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\"),fontWeight:_(o,\"font.weight\"),fontStyle:_(o,\"font.style\"),fontVariant:_(o,\"font.variant\"),fontTextcase:_(o,\"font.textcase\"),fontLineposition:_(o,\"font.lineposition\"),fontShadow:_(o,\"font.shadow\"),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})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),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={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var O=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-O/2,A.nodes[w].y1=C[1]+O/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(w=0;w<n.length;w++){var s=t[n[w].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}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.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 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\"+(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 C(t,e){t.call(L),e.attr(\"d\",M())}function O(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function z(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(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 A=v.SYMBOL_SDF_SIZE,M=v.SYMBOL_SIZE,S=v.SYMBOL_STROKE,E={},L=u.symbolFuncs[0](.05*M);function C(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=u.symbolNumber(a),s=u.symbolFuncs[o%100],l=!!u.symbolNoDot[o%100],c=!!u.symbolNoFill[o%100],f=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var h=u.getMarkerAngle(t,e);return r=f&&!l?s(1.1*M,h)+L:s(M,h),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:c?S:-S}),E[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 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n,i,a=r.length,o=a/2;if(h.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>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=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=c.getFromId(t,e.xaxis,\"x\"),u=c.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,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);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.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));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}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).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=n.isArrayOrTypedArray(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)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);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)}},80088:function(t,e,r){\"use strict\";var n=r(67072);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}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);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=i.isArrayOrTypedArray(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=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);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,O=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var P=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(P,I)&&w<=Math.max(P,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,O){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}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).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 _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,O=L.t,P=O.index,I=C._length,D=O.x,z=O.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[P]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[P]=B}var N=O.xpx=new Array(I),j=O.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(D[g]),j[g]=b.c2p(z[g])}else O.xpx=O.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(6096),s=r(52904),l=r(5232),u=r(45464),c=r(49084),f=r(92880).extendFlat,h=r(67824).overrideAll,p=r(5232),d=o.line,v=o.marker;t.exports=h({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:f({},p.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:f({},v.opacity,{dflt:1})},mode:f({},s.mode,{dflt:\"markers\"}),text:f({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:f({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:f({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:v.opacity,size:v.size,sizeref:v.sizeref,sizemin:v.sizemin,sizemode:v.sizemode},c(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:f({},u.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},79732:function(t){\"use 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k=b[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:b},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(m=f.size,m/2),mo:v||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(f.opacity)}}(e);O.geojson=D.geojson,O.layout.visibility=\"visible\",E&&(O.filter=[\"!\",[\"has\",\"point_count\"]],I.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":b(a.cluster.color,a.cluster.step),\"circle-radius\":b(a.cluster.size,a.cluster.step),\"circle-opacity\":b(a.cluster.opacity,a.cluster.step)}},I.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":_(a),\"text-size\":12}}),i.extendFlat(O.paint,{\"circle-color\":D.mcc,\"circle-radius\":D.mrc,\"circle-opacity\":D.mo})}if(M&&E&&(O.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):m,u=\"auto\"!==s?y(s,!0):m,f=c.hasText(n)?y(n.text):m,h=[],g=0;g<t.length;g++){var b=t[g];if(!x(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(b,n,r),A={};p(A,n,b.i);var M=n._meta||{};_=i.texttemplateString(T,k,r._d3locale,A,b,M)}else _=f(g);_&&(_=_.replace(d,\"\").replace(v,\"\\n\")),h.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(g),angle:u(g),text:_}})}}return{type:\"FeatureCollection\",features:h}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in 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})),A)){var z=(a.marker||{}).size,R=h(a.textposition,z);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":_(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return I}},15752:function(t,e,r){\"use strict\";var n=r(3400),i=r(43028),a=r(74428),o=r(66828),s=r(124),l=r(70840),u=r(31512),c=r(79732).isSupportedFont;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 e._length=a,a}(0,e,h);if(d){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),i.hasMarkers(e)){a(t,e,r,f,h,{noLine:!0,noAngle:!0}),h(\"marker.allowoverlap\"),h(\"marker.angle\");var v=e.marker;\"circle\"!==v.symbol&&(n.isArrayOrTypedArray(v.size)&&(v.size=v.size[0]),n.isArrayOrTypedArray(v.color)&&(v.color=v.color[0]))}i.hasLines(e)&&(o(t,e,r,f,h,{noDash:!0}),h(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),m=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),b=p(\"cluster.opacity\");if(h(\"cluster.enabled\",!1!==g||!1!==y||!1!==m||!1!==x||!1!==b)||i.hasText(e)){var _=f.font.family;s(t,e,f,h,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:c(_)?_:\"Open Sans Regular\",weight:f.font.weight,style:f.font.style,size:f.font.size,color:f.font.color}})}h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},37920:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},11960:function(t,e,r){\"use strict\";var n=r(54460);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},63312:function(t,e,r){\"use strict\";var n=r(93024),i=r(3400),a=r(44928),o=i.fillText,s=r(39032).BADNUM,l=r(47552).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+u*u)-c,1-3/c)}),t),!1!==t.index){var b=o[t.index],_=b.lonlat,w=[i.modHalf(_[0],360)+m,_[1]],T=f.c2p(w),k=h.c2p(w),A=b.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[c.subplot]={_subplot:p};var S=c._module.formatLabels(b,c,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(c,b),t.extraText=u(c,b,o[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}},getExtraText:u}},11572:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).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},O=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=O(A[1]).length,F=O(A[3]).length,B=O(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(C(A[1])),V=P(C(A[3])),q=P(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 H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&D[H]*V<D[W]*V&&z[H]*q<z[Y]*q||(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}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),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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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(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(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(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:X(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||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var 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(47128);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\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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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(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).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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C=Math.max(l(e.header.line.width),l(e.cells.line.width)),O={key:e.uid+t._context.staticPlot,translateX:y.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-y.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:C,height:x,columnOrder:S,groupHeight:x,rowBlocks:A,headerRowBlocks:k,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=M[t];return M[t]=(r||0)+1,{key:t+\"__\"+M[t],label:t,specIndex:e,xIndex:S[e],xScale:h,x:void 0,calcdata:void 0,columnWidth:E[e]}}))};return O.columns.forEach((function(t){t.calcdata=O,t.x=h(t)})),O}},53056:function(t,e,r){\"use strict\";var n=r(92880).extendFlat;e.splitToPanels=function(t){var 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m(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function x(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function b(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(s.repeat,s.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 R(e,e.length-1)+(e.length?F(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-E(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 f(e,E(t))}));var o=a.selectAll(\".\"+n.cn.scrollbar).data(s.repeat,s.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=o.selectAll(\".\"+n.cn.scrollbarSlider).data(s.repeat,s.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return f(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(s.repeat,s.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 c=o.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(s.repeat,s.keyFun);c.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 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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,O=0|o[7],P=8191&O,I=O>>>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,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>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,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|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,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|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,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|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,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|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,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|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,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|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(P,U),i=(i=Math.imul(P,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|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(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|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,H)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,Y)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|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,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,K)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|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,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(z,K)|0,i=(i=i+Math.imul(z,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,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,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),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(P,rt)|0,i=(i=i+Math.imul(P,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(P,at)|0,i=(i=i+Math.imul(P,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(P,lt)|0,i=(i=i+Math.imul(P,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(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Ot=(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)+(Ot>>>26)|0,Ot&=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 Pt=(u+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var 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]=Ot,l[16]=Pt,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 f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=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]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return 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}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=ArrayBuffer,c=DataView;function f(t){return Array.isArray(t)||function(t){return u.isView(t)&&!(t instanceof c)}(t)}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(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.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],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\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],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 d=p.prototype;function v(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?f(a)&&f(a[0]):f(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(f(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,h=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var v=0;v<3;++v)p[d][v]!==this.bounds[d][v]&&(h=!0),this.bounds[d][v]=p[d][v];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,c=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d<3;++d)r[d].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),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!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\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],m=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||c)&&this._text.update(this.bounds,this.labels,y,this.ticks,m):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,m),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new v,new v,new v];function y(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 m=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var b=[0,0,0],_=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),c=u.cubeEdges,f=u.axis,p=n[12],d=n[13],v=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*v+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=c[A],this.lastCubeProps.axis[A]=f[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,c,f);e=this.gl;var S,E,L,C=m;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=f[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 O=[0,0,0];f[A]>0?O[A]=a[1][A]:O[A]=a[0][A];for(var P=0;P<2;++P){var I=(A+1+P)%3,D=(A+1+(1^P))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,O,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(P=0;P<2;++P)I=(A+1+P)%3,D=(A+1+(1^P))%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,O,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=h(b,M[A].primalMinor),R=h(_,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];z[P]*=F[P]*B,R[P]*=F[P]*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,q=h(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[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),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,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]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304: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(2762),i=r(8116),a=r(1879).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()}},6429: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 O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);o(u[I],u[O],u[P],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){O=(I=C<<A)+(C<<M)+(1-C<<S),P=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[O],l[P],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,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),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}},501: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(2762),i=r(8116),a=r(1879).n,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()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),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.n=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}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=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}\\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\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(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,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.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=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[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.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[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)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,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()}},6444: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}},5445: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 O=m?5:4;for(L=O;L===O;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var P=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(P[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),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]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),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}},6405:function(t,e,r){\"use strict\";var n=r(2931);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=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],O=v[x],P=n.length(O)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vectors.push(O),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var D=a.positions.length;a.cells.push([D-6,D-5,D-4],[D-3,D-2,D-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),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}},614:function(t,e,r){var n=r(3236),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\"}]}},737: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\"}},5171:function(t,e,r){var 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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\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);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 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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)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);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()}}},2510: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(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);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 O,P;l?(O=x*(o[C]-c),P=x*(o[C+1]-c)):(O=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),P=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],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===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=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*O+.5*P,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)}},6768:function(t,e,r){\"use strict\";var n=r(3236);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\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),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)}},5714: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(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),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 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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]}},840:function(t,e,r){var n=r(3236),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\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),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,O=t.vertexIntensity,P=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!P)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<O.length;++R){var F=O[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=O||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,q=0,H=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]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&O?a.push(X[0],X[1],X[2],this.opacity*A((O[Y]-D)/(z-D),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:O?[(O[Y]-D)/(z-D),0]:P?P[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,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),O=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}]),P=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer: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,O,P,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120: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(2762),i=r(9405),a=r(3603);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()}},1913: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(2762),i=r(9405),a=r(2478),o=r(3603);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,O=6*f[0].length,P=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*P,z=6*Math.max(0,I-P),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=O+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()}},4747: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(2762),i=r(9405),a=r(3603);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()}},3603:function(t,e,r){\"use strict\";var n=r(3236),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\"])}},2142: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(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);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\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);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],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[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,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).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()}},1850: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(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);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\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),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}}},4437: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(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),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\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({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=[],O=[],P=!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\",P=!0}}}function j(){for(var t=E.length,e=O.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,O.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),O.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||{},P=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),P=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),P=!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<O.length;++t)O[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=O.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=O[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),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!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]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,P=P||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,P=P||!!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||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,P=P||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=O.length,n=0;n<e;++n){var i=O[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(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);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\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);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]]}}},783: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}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),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)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return h.isView(t)&&!(t instanceof p)}(t)}function v(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 g(t,e,r,n){return v(n,n),v(n,n),v(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function x(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 y(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 x(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 b=x.prototype;b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},b.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 _=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=f.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function L(t){return t[0]=t[1]=t[2]=0,t}function C(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function O(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(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,p=e.axesBounds,d=function(t){for(var e=E,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],_[0]=2/o.drawingBufferWidth,_[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=_,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var y=M,m=0;m<16;++m)y[m]=0;for(m=0;m<4;++m)y[5*m]=1;y[5*v]=0,i[v]<0?y[12+v]=p[0][v]:y[12+v]=p[1][v],s(y,u,y),l.model=y;var x=(v+1)%3,b=(v+2)%3,P=L(w),I=L(T);P[x]=1,I[b]=1;var D=g(0,0,0,C(k,P)),z=g(0,0,0,C(A,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=P,P=I,I=R;var F=x;x=b,b=F}D[0]<0&&(P[x]=-1),z[1]>0&&(I[b]=-1);var B=0,N=0;for(m=0;m<4;++m)B+=Math.pow(u[4*x+m],2),N+=Math.pow(u[4*b+m],2);P[x]/=Math.sqrt(B),I[b]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=I,l.fragClipBounds[0]=O(S,d[0],v,-1e8),l.fragClipBounds[1]=O(S,d[1],v,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,_[0]=2/l.drawingBufferWidth,_[1]=2/l.drawingBufferHeight,u.screenSize=_,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=P,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 D(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1),r||(r={});var s=r.family;d(s)&&(s=s[e]),s||(s=\"normal\");var l=r.weight;d(l)&&(l=l[e]),l||(l=\"normal\");var f=r.style;d(f)&&(f=f[e]),f||(f=\"normal\");var h=r.variant;d(h)&&(h=h[e]),h||(h=\"normal\");var p=u(a,{family:s,weight:l,style:f,variant:h},i);return{mesh:(p=u(a,r,i))[0],lines:p[1],bounds:p[2],visible:o}}b.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},b.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},b.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},b.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},b.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]},b.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(d(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(d(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){d(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]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l={family:t.font||\"normal\",style:t.fontStyle||\"normal\",weight:t.fontWeight||\"normal\",variant:t.fontVariant||\"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,v=t.size,g=t.angle,y=t.lineColor,x=-1,b=0,_=0,w=0;if(s.length){w=s.length;t:for(n=0;n<w;++n){for(var T=s[n],k=0;k<3;++k)if(isNaN(T[k])||!isFinite(T[k]))continue t;var A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;b+=3*A.cells.length,_+=2*M.edges.length}}var E=b+_,L=o.mallocFloat(3*E),C=o.mallocFloat(4*E),O=o.mallocFloat(2*E),P=o.mallocUint32(E);if(E>0){var I=0,z=b,R=[0,0,0,1],F=[0,0,0,1],B=d(p)&&d(p[0]),N=d(y)&&d(y[0]);t:for(n=0;n<w;++n){for(x+=1,T=s[n],k=0;k<3;++k){if(isNaN(T[k])||!isFinite(T[k]))continue t;f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k])}A=(j=D(h,n,l,this.pixelRatio)).mesh,M=j.lines,S=j.bounds;var j,U=j.visible;if(U)if(d(p)){if(3===(V=B?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)R[k]=V[k];R[3]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];if(U)if(d(y)){var V;if(3===(V=N?n<y.length?y[n]:[0,0,0,0]:y).length){for(k=0;k<3;++k)F[k]=V[k];F[k]=1}else if(4===V.length){for(k=0;k<4;++k)F[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else F[0]=F[1]=F[2]=0,F[3]=1;else F=[1,1,1,0];var q=.5;U?d(v)?q=n<v.length?+v[n]:12:v?q=+v:this.useOrtho&&(q=12):q=0;var H=0;d(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var G=Math.cos(H),W=Math.sin(H);for(T=s[n],k=0;k<3;++k)f[k]=Math.max(f[k],T[k]),c[k]=Math.min(c[k],T[k]);var Y=i,X=a;Y=0,d(i)?Y=n<i.length?i[n]:0:i&&(Y=i),X=0,d(a)?X=n<a.length?a[n]:0:a&&(X=a);var Z=[Y*=Y>0?1-S[0][0]:Y<0?1+S[1][0]:1,X*=X>0?1-S[0][1]:X<0?1+S[1][1]:1],K=A.cells||[],J=A.positions||[];for(k=0;k<K.length;++k)for(var $=K[k],Q=0;Q<3;++Q){for(var 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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 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* 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\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),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],O=(l-M)/(S-M),P=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(O)||(O=.5),isFinite(P)||(P=.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(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,D,B,O),n.lerp(q,z,N,O),n.lerp(H,R,j,O),n.lerp(G,F,U,O);var W=n.create(),Y=n.create();n.lerp(W,V,H,P),n.lerp(Y,q,G,P);var X=n.create();return n.lerp(X,W,Y,I),X}(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 O=[C],P=[],I=d(C),D=C;P.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:O,velocities:P,divergences:z});for(var B=0;B<100*u&&O.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&&(O.push(N),D=N,P.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(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),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  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 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  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 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}},9499: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(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),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],O={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 P(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=O.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=O.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 O.showSurface=o,O.showContour=s,O}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=P(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=P(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,O=Math.sqrt(E*E+L*L+C*C);O<1e-8?(O=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,O=1):O=1/O:O=1/Math.sqrt(O),b.set(o,y,0,E*O),b.set(o,y,1,L*O),b.set(o,y,2,C*O)}s.free(x.data);var P=[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 q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),D=Math.min(D,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,K),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=[P,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 J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}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(H=0;H<2;++H){var ot=it.positions[at[H]],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(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,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(H>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,O=k*E,P=T*L,I=T*E,D=C*f.get(_,M)+O*f.get(_,S)+P*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+O*p.get(_,S)+P*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)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);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 e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Wt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Xt,Yt,Wt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Wt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?Pn(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?Pn(Cn(t[1],t.slice(2))):\"has\"===r?On(t[1]):\"!has\"===r?Pn(On(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function On(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Dn(t)}function Dn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(Dn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function zn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(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 Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(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 Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new Dt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Oi=function(){return Mi},Pi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},Di=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 hi,this.transition={})};Di.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},Di.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Di.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var zi=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};zi.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},zi.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new zi(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new zi(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},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);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(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},Fi.prototype.untransitioned=function(){for(var t=new Ni(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 Bi=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)};Bi.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 Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(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},Ni.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 ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new zi(this._values[t].property,null===e?void 0:w(e))},ji.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},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(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 Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.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 Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(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 Ui(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 Ui(this,{kind:\"constant\",value:s},e)}return new Ui(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}(Hi),Wi=function(t){this.specification=t};Wi.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 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Vi(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($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(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(Jn,n,t,e,r))return!1}if(x(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),_(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)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,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 Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(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:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.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},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=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}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",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.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}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.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))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=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};lo.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)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.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)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a 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instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.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 oo||h instanceof so||h instanceof lo)&&!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},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)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},uo.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)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.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 Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=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 ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"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=mo(o,c);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"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)}}},il.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)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(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&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>za.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),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(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>za.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[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];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),O=0;O<C.length;O+=3)this.indexArray.emplaceBack(k+C[O],k+C[O+2],k+C[O+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(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=Do(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];qo(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,O=A+h,P=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,O/I);z.z=P/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;To(r,e)&&(n=ul(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];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(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=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(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 cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;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.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new za,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"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=mo(l,h);if(this.layers[0]._featureFilter.filter(new Di(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),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=js(\"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)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.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)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){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\");this.lineClips=this.lineFeatureClips(t);for(var 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)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[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*po/(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<pl&&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),O=k?C:0,P=k?0:C;if(p&&this.addCurrentVertex(c,v,O,P,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,-O,-P,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}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*zl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Ol(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Ol(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(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 f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.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})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;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,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;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,bu(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=uu,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)*Ll,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,O=null,P=null,I=null,D=Ll,z=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,O={width:F[0],height:F[1],left:iu,top:-ru,advance:z?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),D=O.advance;var B=z?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)P=j.rect,O=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;O=V.metrics}C=(_-S.scale)*Ll}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:O,rect:P}),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:O,rect:P}),h+=O.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-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,X,d,v,a,G,i.length),t.top+=-X*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}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.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&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(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 Tu(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}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=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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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Ou(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Pu(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Du(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:D,tr:z,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new za,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new za,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=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=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Oa,this.symbolInstances=new La},hc.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=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.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 he&&!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 Di(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=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Oi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.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:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var O=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.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=di(k.toString()),F=z.fontStack||O,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var 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}))}},hc.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))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.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},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.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}},hc.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,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.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,O=b.isSDF,P=b.sectionIndex,I=d.vertexLength,D=C[1];sc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,O,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,O,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,O,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,O,S.x,S.y,E,L),lc(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&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[P])}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)},hc.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))},hc.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},hc.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)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);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)}},hc.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},hc.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))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.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)},hc.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},hc.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})},hc.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)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.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},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=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.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()||cn(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 hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.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 vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(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=dc.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 he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=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}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?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)},Ec.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)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=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()})};Lc.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))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Oc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(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?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(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)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pc=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]))};Pc.prototype.setNorthEast=function(t){return this._ne=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.setSouthWest=function(t){return this._sw=t instanceof Dc?new Dc(t.lng,t.lat):Dc.convert(t),this},Pc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Dc)e=t,r=t;else{if(!(t instanceof Pc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pc.convert(a))}var o=t;return this.extend(Dc.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 Dc(e.lng,e.lat),this._ne=new Dc(r.lng,r.lat)),this},Pc.prototype.getCenter=function(){return new Dc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pc.prototype.getSouthWest=function(){return this._sw},Pc.prototype.getNorthEast=function(){return this._ne},Pc.prototype.getNorthWest=function(){return new Dc(this.getWest(),this.getNorth())},Pc.prototype.getSouthEast=function(){return new Dc(this.getEast(),this.getSouth())},Pc.prototype.getWest=function(){return this._sw.lng},Pc.prototype.getSouth=function(){return this._sw.lat},Pc.prototype.getEast=function(){return this._ne.lng},Pc.prototype.getNorth=function(){return this._ne.lat},Pc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pc.prototype.contains=function(t){var e=Dc.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},Pc.convert=function(t){return!t||t instanceof Pc?t:new Pc(t)};var Ic=6371008.8,Dc=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\")};Dc.prototype.wrap=function(){return new Dc(h(this.lng,-180,180),this.lat)},Dc.prototype.toArray=function(){return[this.lng,this.lat]},Dc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Dc.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 Ic*Math.acos(Math.min(i,1))},Dc.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 Pc(new Dc(this.lng-r,this.lat-e),new Dc(this.lng+r,this.lat+e))},Dc.convert=function(t){if(t instanceof Dc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Dc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Dc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*Ic;function Rc(t){return zc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Dc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new Dc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Oc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Oc(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)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(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)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.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},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(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 Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.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))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=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 k('\"'+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)]};Wc.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])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.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)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.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)]},oi(\"DEMData\",Wc);var Yc=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}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=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},Zc={geometry:{configurable:!0}};Zc.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},Zc.geometry.set=function(t){this._geometry=t},Xc.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(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.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]||{},p(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]},Kc.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}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},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},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.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]={}),p(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,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(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 tf(t,e){return e-t}Jc.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]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(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(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Oo(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(tf);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=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.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),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new Di(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new Di(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(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},Jc.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},Jc.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},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),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\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.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 hc){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 hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Oi()||Pi();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 Aa},ef.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\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.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 Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.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):{}},ef.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=An(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.needGeometry){var d=mo(p,!0);if(!o.filter(new Di(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Di(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(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}},ef.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)},ef.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)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.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},ef.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 rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=zt,t.EvaluationParameters=Di,t.Event=Dt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=Dc,t.LngLatBounds=Pc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Pl,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=za,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,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=lc,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=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(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=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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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(H(t[l],l));this.trees[i+1]=new j(s,K,J,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,K,J,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),X(a),Y(i),X(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?W(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=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],O=f.points[C];O.zoom<=e||(O.zoom=e,r.push(O))}}}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?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},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 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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 u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},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 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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 t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,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.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},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),O=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,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var 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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var 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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:O,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 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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 Ot=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(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\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Ot.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()},Ot.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},Ot.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Ot.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Ot.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},Ot.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Ot.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)},Ot.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))},Ot.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)},Ot.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)},Ot.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)},Ot.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=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(oa.workerUrl)}Pt.maxOverzooming=10,Pt.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 qt={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 Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(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 Xt(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 Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.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:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.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(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),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:qt.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:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.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 Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.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.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.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.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.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),O=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),P=se(e.writingMode,S,O,d);if(P)return P}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=[],O=E.path.length-1;O>=1;O--)C.push(E.path[O]);for(var P=1;P<L.path.length;P++)C.push(L.path[P]);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 q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,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},O=null,P=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 q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,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 H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;O=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||O.circles.length>0&&!O.collisionDetected,S=S&&O.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var Z=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?(P=Z(a.verticalIconBox)).box.length>0:(P=Z(a.iconBox)).box.length>0,S=S&&P.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(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&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),O&&(T&&i.collisionIndex.insertCollisionCircles(O.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<O.circles.length;tt+=4)Q.circles.push(O.circles[tt+0]),Q.circles.push(O.circles[tt+1]),Q.circles.push(O.circles[tt+2]),Q.circles.push(O.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 O=this.collisionCircleArrays[o.bucketInstanceId];t.invert(O.invProjMatrix,l),O.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 O=C?L:ze;d(e.icon,a.numIconVertices,O),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=C?ze:L;d(e.icon,a.numVerticalIconVertices,P),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),Oe=Math.pow(2,9),Pe=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*Oe+e*Pe+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 qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=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(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(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()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}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(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(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 He)}));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._afterImageUpdated(e)},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._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),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 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 Pt(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(qe(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 required 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)&&qe(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 Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_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;}\"),Ke=_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);}\"),Je=_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 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 exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,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 vec2 v_uv;\\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,v_uv);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;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\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;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);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=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,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};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}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 Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(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]}}Ar.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 Sr=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}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Or=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=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}},Dr=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}},zr=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]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=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\")}},jr=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}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(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]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(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]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(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(Vr(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 Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=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:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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 Kr,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}},$r=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})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=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})},rn={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_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),u_image_height:new t.Uniform1f(e,r.u_image_height)}},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 nn(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,Dr(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,O=E.circleArray[C+0],P=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,O,P,I,D,0),k.emplace(A++,O,P,I,D,1),k.emplace(A++,O,P,I,D,2),k.emplace(A++,O,P,I,D,3)}(!Kr||Kr.length<2*h)&&(Kr=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(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=zr(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 an=t.identity(new Float32Array(16));function on(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 sn(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=on(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,O=0;O<C.length;O++){var P=C.get(O);if(P.hidden)he(P.numGlyphs,d);else{var I=v[O];if(I)for(var D=0;D<P.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(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),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var O=C.programConfigurations.get(n.id),P=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,D=y||0!==v.pitch,z=e.useProgram(ln(P,a,L),O),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=D||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||D?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:z,buffers:C,uniformValues:P?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(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 fn(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):Or(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(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 hn(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?Er(k,t,A,h,v,f,g):Sr(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 pn(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=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(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 gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(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 An(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,Rr(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,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={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);sn(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)&&un(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)&&un(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&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(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:Ir(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,O=S.indexBuffer,P=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,P,n.id,C,O,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,Br(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,Nr(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))for(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,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var O=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var P=w.gradients[n.id],I=P.texture;if(n.gradientVersion!==P.version){var D=256;if(n.stepInterpolant){var z=r.getSource().maxzoom,R=b.canonical.z===z?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;D=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:D,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(v,P.gradient,g.RGBA),P.version=n.gradientVersion,I=P.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,O,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),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);fn(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);fn(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))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(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=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}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),_=vn(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=Xr(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?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(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++)An(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)}}},Sn=function(t,e){this.context=new Ot(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.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()}},Sn.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,Xe.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,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.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)},Sn.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,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.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,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.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)},Sn.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)},Sn.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]},Sn.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},Sn.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])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.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&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.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),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.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)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.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},Sn.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},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.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},Sn.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 Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.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()},Sn.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)},Sn.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)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.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 En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.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 Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.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 Cn=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};Cn.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},Cn.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)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var On=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 Cn,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}};On.prototype.clone=function(){var t=new On(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)},On.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},On.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},On.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)},On.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},On.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=En.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 Ln([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}))},On.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},On.prototype.zoomScale=function(t){return Math.pow(2,t)},On.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},On.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)},On.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)},On.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())},On.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},On.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},On.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},On.prototype.coordinateLocation=function(t){return t.toLngLat()},On.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)},On.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])},On.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)))},On.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},On.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])},On.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]},On.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},On.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}},On.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={}}},On.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},On.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},On.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(On.prototype,Pn);var In=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})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.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},In.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(\"/\")},In.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},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var Dn={linearity:.3,easing:t.bezier(0,0,.3,1)},zn=t.extend({deceleration:2500,maxSpeed:1400},Dn),Rn=t.extend({deceleration:20,maxSpeed:1400},Dn),Fn=t.extend({deceleration:1e3,maxSpeed:360},Dn),Bn=t.extend({deceleration:1e3,maxSpeed:90},Dn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(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)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.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=Un(r.pan.mag(),o,t.extend({},zn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(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 Vn=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),qn=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),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.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\"}}},Yn.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)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.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},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.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=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.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 Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.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 Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({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 $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var 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.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=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}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(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}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.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]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}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._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(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}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),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:li(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=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.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,ci(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 ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.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 this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,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})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.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%vi==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()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.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())}},gi.prototype.renderFrame=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)>vi?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}}},gi.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},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.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})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.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))},xi.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)},xi.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)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.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\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(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:!0}],[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)}};Mi.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)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(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])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.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},Mi.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||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.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)}},Mi.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=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);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,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=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){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,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=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),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),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 O=E(0),P=function(t){return C(O)/C(O+_*t)},I=function(t){return w*((C(O)*(L(e=O+_*t)/C(e))-L(O))/S)/k;var e},D=(E(1)-O)/_;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},P=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/P(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(!1)}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),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.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._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),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},Ei.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},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.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\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.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)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.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},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.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 Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.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)}},Ci.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},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Oi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"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\"},Pi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,Di=t.window.ImageBitmap,zi=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:zi,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},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,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>zi)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new On(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 Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Oi,e.locale),this._clickTolerance=e.clickTolerance,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 Ii))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\",\"_onMapScroll\",\"_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),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(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 Ei({customAttribution:e.customAttribution})),this.addControl(new Li,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&&(r=e.getDefaultPosition?e.getDefaultPosition():\"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.hasControl=function(t){return this._controls.indexOf(t)>-1},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?zi:t)>zi)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 Vn(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 Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(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 Pi||Di&&r instanceof Di){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 Pi||Di&&r instanceof Di?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 Pi||Di&&r instanceof Di);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\"),this._canvas.setAttribute(\"role\",\"region\");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)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},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 Sn(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._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},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)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),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(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(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}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,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))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.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},ji.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 Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.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},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({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 Vi(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}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.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)}},Ui.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()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.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)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.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))},Ui.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))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={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 Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){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._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!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 a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.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\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),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()})),Hi(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=Vi(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,qi[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){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(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._pointerdownPos=null,this._isDragging=!1,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._pointerdownPos=t.point,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),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,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!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),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,Xi=0,Zi=!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&&Zi)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 Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({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\":Xi--,Zi=!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\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!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),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.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},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=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\")};ea.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},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.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)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.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())},ea.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 ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),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._focusFirstElement(),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){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),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.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){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=Vi(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=aa(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,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(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 aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,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. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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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 / 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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 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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{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),O=c.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,I=0;P<this.counts.length;P++){for(var D=this.counts[P],z=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<D;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],O[2*I]=z.width[B],F){var j=O[2*I-2],U=O[2*I],V=O[2*I-1]+.5*j+.5*U;if(this.kerning){var q=z.kerning[N+B];q&&(V+=.001*q)}O[2*I+1]=V}else O[2*I+1]=.5*O[2*I];I++}this.textWidth.push(O.length?.5*O[2*I-2]+O[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:O,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(O),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var 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},72200:function(t,e,r){var n=r(48088);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 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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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}},82368: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},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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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]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(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=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.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:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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\\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:\"\\nprecision highp float;\\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 * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.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);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.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}},g.prototype.destroy=function(){return 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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 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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}\\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\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\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,O=L.color,P=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(O.length||P.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=O[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=P[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(O.length||P.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=O[F]&&(E[4*F]=O[F]%f,E[4*F+1]=Math.floor(O[F]/f)),null!=P[F]&&(E[4*F+2]=P[F]%f,E[4*F+3]=Math.floor(P[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(50896);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}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);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 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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],O=E[2],P=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+O*y-S[2],b+P*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}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,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=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);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},15168:function(t,e,r){var n=r(50896),i=r(38700);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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@@ -93046,11 +93233,18 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:31:15.931724Z",
+     "iopub.status.busy": "2026-02-04T19:31:15.931724Z",
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+     "shell.execute_reply": "2026-02-04T19:31:16.271164Z"
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    "outputs": [
     {
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",
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BEhYhhJCEQAmLEEJIQghq6E5eXl7ASW67w3EcSkpKQgqKEEII6SiohDVt2rROCWvfvn04evQoRowYgWHDhgEATp48iWPHjmHUqFG4+OKLwx8tIYSQC1ZQCWvdunXt/v7www/x4YcfYuvWrbjyyivbvbZ161YsWLAAf/jDH8IWJCGEEBJSH9bvf/973HfffZ2SFQBcffXVuPfee/Hoo4/2OThCCCHEJ6SEdfr0aaSkpHT5ekpKCvVfEUIICauQElZBQQFef/11mM3mTq+1trZi7dq1yM/P73NwhBBCiE9IE3z98Y9/xPz58zF8+HAsXboUhYWFALw1r/Xr16O+vh6bNm0Ka6CEEEIubCHVsK6//np8+umnSEtLw1NPPYVly5Zh2bJlePrpp5Geno6PP/44pFnczWYzVq1ahdmzZyM5ORkcx3Ua8NEdg8GAO++8E2lpaVAqlZgxYwb279/f6zgIIYTEn5CnUJ45cyZmzpyJuro6lJeXAwAGDRqEzMzMkINpamrCE088gYEDB2Ls2LHYtm1b0Ot6PB7MnTsXBw8exG9/+1ukpqbipZdewvTp0/HDDz9gyJAhIcdFCCEk9vo8539mZmafklRbWVlZqK2tRWZmJvbt24eJEycGve7mzZuxa9cubNq0CfPnzwcALFiwAEOHDsWqVavwzjvvhCVGQgghsRHy1EwVFRW46667MGzYMCQnJ2P79u0AvLWk+++/HwcOHOj1Z0ql0pCT3+bNm5GRkYF58+b5l6WlpWHBggXYsmULHA5HSJ9LCCEkPoSUsI4dO4bx48dj48aNyMvLg9FoBM/zAIDU1FR8++23ePHFF8MaaE8OHDiAoqIiCATtN2nSpEmwWq04depUVOMhhBASXiElrIceegg6nQ6nTp3CW2+9BcZYu9fnzp2LHTt2hCXAYNXW1iIrK6vTct+ympqaLtd1OBwwmUzt/hFCCIkvISWs7du34+6770ZaWlrASXEHDhyI6urqPgfXGzabDVKptNNymUzmf70rTz/9NLRarf9fbm5uxOIkhBASmpASlsfjgUKh6PL1xsbGgMkjkuRyecB+Krvd7n+9KytXroTRaPT/q6ysjFichBBCQhNSwioqKsInn3wS8DWe57FhwwZMnjy5T4H1lm+EYUe+ZdnZ2V2uK5VKodFo2v0jhBASX0JKWCtXrsRnn32Gu+++G0eOHAEA1NfX48svv8TMmTNx/Phx/O53vwtroD0ZN24c9u/fD4/H02757t27oVAoMHTo0KjGQwghJLxCSlhz5szBunXrsHHjRlxxxRUAgEWLFmHmzJnYv38/3njjDUydOjWsgbZVW1uLEydOwOVy+ZfNnz8f9fX1eP/99/3LmpqasGnTJlx33XVRb6IkhBASXhzrOMSvFywWC7Zu3YrTp0/D4/GgoKAAs2bNglqtDjmgF198EQaDATU1NXj55Zcxb948jB8/HgBw3333QavVYunSpVi/fj3Onj2LwYMHAwDcbjcuu+wyHDlypN1MFxUVFdi7d6//IZPBMJlM0Gq1MBqN1DxICCER1Jvytk8JKxIGDx7sn+qpI1+CCpSwAKClpQW//e1v8eGHH8Jms2HixIn4y1/+ggkTJvQqBkpYhBASHRFPWPn5+cjIyMC6desC1ly2bNmCX/3qVygtLe3tR8cFSlgkmqxOHlanGwqJEApJn2dLIySh9Ka8DakPq6ysDPv378ekSZPw4YcfdnrdbDZ3WUsi5EJldfJoMjtgdfIdlrvh9jBYne4YRUZIYgh5LsHnnnsOU6dOxU9/+lM89thj4YyJhElXBSSJja4Sk0IihFDAQSERRvC76VggiS/khJWUlISPPvoIq1atwtNPP425c+fCaDSGMzbSSx0LJbpyjy9dJSaFRIRUlTSizYF0LJD+IOSE5fP73/8eH3/8MXbv3o2JEyfi6NGj4YirX6jUW7D7bDMq9ZaofF9VixWn61tR1WIFEJ0r9966kK/0o5GYuv7u+DsW+uJCPo4uZGE5c2bPno29e/di3rx5mDx5MubMmROOj01oTWY7dp/VA8wDo82FlF4WVKF0xLdYXag12tDq4JGTpIBCIoq7Tvy2V/q+2JrMdhytMcHBu3FRpga5ycoYR9l7TWY79BYXkpVipKpknV6P9cCK3h4LsY63O01mO0oaLdDIREhTy/zxxXPMJDzC9qvm5eXhu+++w/Lly/Hmm28GnBT3QlLSaEGLxYmqFhuGpHtwuNqA0QN03Z5IViePZrMTNicPg9UJsVCAVLUMiuTgfia5SIAj1QYYLU44nC5cNy4yk/j2pWBQSIT+dX2qDXacrmuF1eWGycbD5nTDxnsgFwv8iTdY3SWOnuJu+zoANJudAFhQFxv7y1tQrrdiULICM0e2f2qA1cljb5ke9QYbMrRyTMxLPrc8fgvXKr0N1QYrFBIRRudoIx5jk9mOaoO93W9udfKo0tuwr6wJJ+tbkaaS4fKhaajQW3G8xgSxkMPcMdlIVUm7jJmSWORFcx+H9Olff/01Lrrook7LZTIZ1q9fjwULFqCpqanPwSUyx7mmCrmYQ7PZCZXRjoI0d5c/qNXJ44P9lThYYYBQyKCVS5GfpkKqOrgZOprMdtSZ7Kgz2mCyuvH+gRpo5BKMHKAFwHVbSPuSpFwiDKpwDlRL6srByhacbjBjSLoKY3OTUKW3YmdJE6r1ViikIgxJV8LJe2B18qg2WNBiseNwVQvy09QYmKyAXCyCVRL8yaC3uFDRbMHOMzbkaKUYlKbyF4DNZifMDh4qqajTRUDHpCKTCLC7tBlGiwMjsnWYNjw9YM3Jp6nVgTqDDWabC0WDktq91+p043i1EUeqDRAAOFxlwOgcLdLVcpgcLhSkKbv8bF9BDjDIRULIJd5/erMLdheP7CR5tzU6m5NHjdGOymYzHG4GjVQImUiIDK0chRnqLvdpndGKvWf1EAoAmViIsbm6Hvd9X1Qb7ChpaIWA4yAXe3+fM/Wt2Fvegv1letSbHBALzTDYnFCIhShrNkMmFGDbqQbYXG7YeQ8OVuhhdbmRqpQCHFCQpoTe7ERpoxkCARfgd+FxuMqIRpMNQzM1GJoZ/C0swRTSgS6eAiXmcPDFAzB0d75H4rOazQ6YHW6opMKgL65DFdKnT5s2rdvX586dG1Iw/YlWIUW6xgXGPJCKRag32vFdSSMGJSsDFhRWpxulTRY0mx2oNdlRkKaETCSAPMg+h/3leuw72wKpkIPL44GcE+DzI7VobHVg5ABtu6aTjt/bZHbgQLkeTrcH4wcloTgvtYdvYzDavCdiTw5UtOBwpR7/PV6HhRMHotXmwrFqIw5XGyCAALtLRShMV0EtE0MqEqFSb4PZ7kZZkxV5qQqUNZmRrJQgSyuHTiHtVEh3LDjkYgF+KNPjSI0RZocTuTolxg9KQo5ODpPdBaONh9vtQZZOhjStHAVpKqSqZGg2O1HZbMGhqhbwbiAnWY46kx3ljVboLS6kamSYNrTrhDUgSY7D1UbUG214ddsZXDt2AMbmJgHw1io5AQeBAKhstsEDwOLkUZimgkwiBMe6LhgOlOnxY5URDgcPuczbrMd7GM42mGBzeZChlWL0AB2GZGjaHVdVLVbsKW3GrpImmKwuWJw8lFIRzA43pCIOKUoJLhuSjpE5WiQrJJ0uVBjHodXugtXBY8epBiQrxWFtqu34u9mdPM42WdDcasPZxlZcUpiGhlYHeN4DoYBBLuZg5z04XdcKkYADA9DkcMDicuNMgxlJcjHqjVbwHoaDTjcq9FbYh6QiSS5FVYsVLRYXTHYXpg87f+FRpbdi69EalDdbIRHVYvaoLEwpTG13bAWqZfsSXYvFgSSVJGDLSZPZjvf2V+F0rREutweDUtUYkq5EncGOk/UmCMBhUkEahmSoYOc9yNbK+rR/fReR9UY7xCJBr5NH2wuc0iYLbA4XWixO6FRSZOvkGKBTdDo+T9WZsLdcD7ONx9AMNQozQp/hKFhBbdEbb7wBALjtttvAcZz/7+5wHIfbbrutb9ElsGSlGBKRBoNTlOdONBO+O9OMD43VyEtX4OoRWRidc/5AV0iEGJejg8XmglwihFAgPFe7Cq5p1WR3g/cwZOiUmJCXilN1ZhitTvxY2YIKvQ2XFqYELBAVEiFcvAfljRY4GYNWJuoxYenNLjRbHABDt7UOAFBJhajUO+B08/j4xxoUFyRDKuKgk4tRZ7KD97hxtIrH6BwdJCIhPGCwuXiY7B7IRALozQ6IhRxaHW4opUKopCLkJqkwdpAOBWkqAFy72p5cIoJWIYaD98Bo5eF0mlGmt0ItFXkTuUgIDwAODNk6BcbkaDFzVBYAhlSVFHqLE7wHMNhdyNXJoZQK0WRx4r/H65ClkXV5FZ6fpsaQdDN2ljSh1mDD92f1GHIugSgkIswYlg6pSACV1IQWixN1RhtEAgHEQg5nG62oNVghEAoxKFnRLvEY7TzMNhdKmswQcBzsLg+EHGC0uWDjeZQ0CHCkuhUpSjEmDE7GtGEZSFZJUWu04cdKA8oazGh1uiEWATaHGx4AJpsHdqcbXx6rxb4yPYoGJWHasAwokkX+WoFMJMCwTDV+rDLA4uRxotYUUoHatpahkIhQpbfBYHWAcUCGWgab0429jXpsO1GLerMTJisPq4OHweZGUa4GTg/DRVk6qGUiHK4yoKbFBjPvQW6SHAqJEK0ON1wmO0xWB9wegDFAIhKh3mRDo8mBLI0cbsah3miDhXcjTX3+wsPu8oDjBKg32cHzHmzcU4GSBjOuGZONnGQFDlcZcbreBIlYgHG5SRia4f3tq/Q27C5twrEaA+QSERqG23HliMx251a1wY6zDWYcqWmFyebE6Xozdp0RA4zByvOQi8Swumrx3xMcsnVy5KWqMDHP02UfaM+8F5GM880D0X250fZ3AYDvzjTBaHehwWhHRbMFNSY7lFIRUhRiDEhWYoBWhiqDA2AeZGllGDFAh9MNZpyqMcFodcLlZijMUIUQd+8ElbCWLl0KjuNw0003QSKRYOnSpT2uc6EnLLlECL3Vm3wGJMnhcLqxp7QZLTYXbNUmZGkVKEhXt0lYIlw3LgdTClOxv8IAq9OFLK086FFdYwZo4eA9SFGIkaSUwuxwo9XmhNnuhou34u1drchJkWPasIx2idLq5GHj3dAoxahtsaHOZEel3tJt4VRrtKLWaIeTd2NoZvdXVWNyknG8thWHKg2oarGisFWJ68bloLLFisPlBpxsMEMqFsDicmNYlgY6uRjleiv0FgckQg4OtwetDgaDxYkqN4NMxKHW6ECT1QGH040JeSnt+p0UEiHGD0wGz3twtsmMGqMdrTYe1QYrxAIOLRBAyHngcgMNRgfKmy04WNmCnCQVZGIOY7J1OFhjRLJcjDS1DDq5GIdqTKg12PHBgUrcUjw44L5JUUkwcoAONQYrGowOWKxOHK4y+vtShmZqkKySoCRbi72lTagx2mGw2SHgRMjSSLGnzIAUlQTVLTbIxEJ/YhyTo0OdyQ6D1YmKFitcbgYwBq1cDBkvhIP3oKHV2xQJjoOTZyganASOAakqKZJVUih4DzI1UggEgETAQW/nwcChxeyEzcnwjaMBx2sNEAm9FzSDUhTI0ikwbVgG5GIB9BYeRpsLlXrLuRp/8E1OeosLTt5zrhlMiD2lTThSY4DV7oJYJIBUIoLB7IKd5+HiGVJVYtSbeTA4UGmwI0MlQaPFBQEHXFKQgt1legg4DgOTlVBKhThV3wqlVAyLww2tXASrg4dCKgLA4PEwlDVbMShZjhqDFU4nj+9LmsAxhhEDtMhOkuGyoWmwOF0422iF2cHjQKUBpU2tGD8wGQ6XB1UGGzRyEeRiEZKVEqSqZKg1WVFjsKHaYIeb9+B0bSs+OlSNMQOSMHNkJoZmaiAXCzA4VYnyZisYY+A9DA7eDYlQCJVECrmEQ7XBAQEHeDwMdicPoQDIS1OHlLCqW2woa7ZALhLgomwtUlQSVOotKG2yIEku7tSqU9JgxqEqI/QWB8AYTta3wuZwQyTg4PAwGC0utFqdaDKJUKW3w+LiIRcJYbA6oVGI8cWxeuQmyaC3OCEUCiETcbC5PN1EGB5BJayzZ88CACQSSbu/SXc4SIQCuD3e/x8xQIOprWnYcaoRYqEARqszYBNhqkqGywpTe92JmZOsgFziPVFbLE7IxULkpCghFXAoN1jRaHGgxeZEikqGgnRvkrE63ahpsUHIcUhWSWF18Wg0O/CfwzWYd3FulyeOTCyEWiaGTCw89zmBm068ccnxP+Ny4HF7cLrBjG9ON0ImFmJKYRqGpKtxtNqAihYrsrQK5KYoMTpHB6PVCaPNiSaLC26eodZkQwVnhpMBHrcHHICmVjv2lRugU0ja7T9fh3tBugoAw7YTDThSY0RVs8U/EMjt8RYgrXYeRqsLuwxWyIQGDM1U45LCdMxJluNQlREtVgcGp6qQa3PiaHUrXG4Pvjxej4UTBwaoqYpQkK6CRJiDAxV6NJmdOFptQJJS7L8yBzhvjdvlhkhohNnBI0Mjg9HGI0UphtHmhFQshMF6/ikE3sTFQSEWQi2XoNZoQ5JciMFpagzNVOPH8hacbTKjyexCc6sTBypbUGm0YnR2EooGJ2Fcrg4CASATCSEWCSAQCCAXCXCivhX7zzajzuSA281wvMYMD/NAJhah1e6CWCDAxMHJmJSfik8P1+KHMj2qDTZclKXF0HNX0sEcm3KxACdrjTjd0AqRwFubaWh1oMZgA8c42Hg3RAKGFKUcRQN1yE1R4kStEbUmO0obWyERaKCWiJCmkmF4thaD09TgACQpJbC5PBiRpYXJwQNgaLW6MCDJexzVtFhxpsEMg9WBJLkYU/KSsb+8BXqzA9+eaYJMLMSk/FRMHCyCTi7BmXoj9pfrcay2FQ1GN07XWaCUCpGlkYHn3aiX27DtZAOGZKjRZLJDIxMjUytDbYsNJhuP5kojKppsOFCpR4pSAg5AfpoGtxbnosnsRKvdDb3ZBqFQgLx0FRqNdlQ0W2Hn3RiUqoJMKMDZJgtMNhcA5m+qDpbR6kJlkxUtNgdMdh65KQqU1reiyeyEy8NQZ7SdS2Te89Ph8uBgpR5nG2ywupwQCgQQCYAkhQwqqRAqiRy8B7DanTA5XBALhTDYXOAA7wWUxQmb0438NAW0MgncDLA7eVidfEQHXgT1yYMGDer2b9KZQuJtvgKYf2TchMGpyE1RweHkcabRjO9KmrCvTI8rLsrAyGydP0GFMhzd6nRDIhJAKOAglwjRYnMhUyfD4GQlDlUZYLA4YbLzOFDuvUJNVUvO3RMkhlgkwLhcHVxuD07UGnCqrhXfnWnGlSMyAsaRrZPDznsgFwv9Q4zrWmxI18gg7xC7QiLC2FwdHC4e9bvOwuNhqDDYMIkBA5IUGJKhRpXe1qlvqsnsQKPJgQazHaMHauFxM5xttsDjYTDbeRyvMaC0zohPXTzmjM1u18bua88XCjgU56cgN8XbH2jnPTBaHXC43HC4PTDbeHxX2oyyJgt4twc2pxtpajEGp6rQZHGB592QS4SYNDgFRiuPOqMDO043AIzDVSPSO9W0FBIhlFIRtHIRaoxWVLTw2Fem91+Z+5pt8lOVkImE/j4QjgGNrQ6crG8F7/bgaK0RjDtfaOUky3HZkHSMGuBAfasdNqcbGVoZJg5OQdGgZJQ0WrD3bBPONlrQaHKgRm+DwezE0Ew1rroo09+30LYmysBBCAab04MqvRUn6kxw8B6o5SJo5RKIhAJUtdggFwvAPAyNZgdKGy2wOXmAMWRqvdsTTKFa3WLD/goDwDho5AKkKiWQCjnUmxxgYFDJxBg/SIc5o7MhEwshEnKoP1oHF8/QYHbg0kINBiTJkZusQG6ywn98uD08IBMjVS2FRCSE0eo61xLGkJ3k7YP0MIZ0rRzJSinMTh4/VhhhsrlwpsGM/HRvk3KmVoZkpQRquRQQCHCwsgVWOw8BB5gcbkgk3sEdYEC6RoohGRoMTFVidI4GdQY7vi1tQq3eBqfbjZIGM84wQCkRwuPhMKUgFdeO0+FUnQnVBhsUEiGydXJU6W1I01pQmKZEtk6O7acbcazaCKudh0wsQqPRDsZxSFdL27WIdCUvzXue21xu7Ctvxv7yFkjEHGoNNlidHuwubcb4XB2uGZONMblJyNTJkKKSoKzZCikTIkkhhVohRLZGgUytDDlJchisLlQarNCb7XAzbyxWJ4/qFhvMDjfUMhE0cimytHJoFGKIRUIEMxCrL2icZ4QoJCJABf/MAgqJEHqLExlqKZy8BCVNFtTorWCMwxfuOtgcPBQSMUYM0ITUJNB2uLhCIvK30zeZHShIV+MqMOwr0UNvdeKLI7XI0MgwPFuDK4ZnYECSDHqLC2NzdGhstaNab8W2Y7Vw8G5MDzA6Ti4RIV3tXaa3uHC00oBdpU3wALi8MA1XjcjoVJiPytHh+nE5OF1vwsAUpbdT+FysgZoVFRIh0jRSDEr1FlBWpxs5yQrord7RcS7ejWPnbpJ+/4dqKEQAOAEGJssxYoAOA5IU/sJ5cIoSQgHnH/7s/TxvJ/P4Qcn4vrQZNQYrCtPVGJyihlwsxLAMNSx2HmMH6iCXCGHnPfjmZANqDDZ8fqQaBqsdt12S127fKCQiJKskyE/XoLHViSqDDfWt3nvMJg4WAeCglYshFHj7LTRysf+ixmDnka6WoqTBghM1RpQ3WXDF8AxMHSZrs4/U3qHeLTZIhBysTjdSVTKkqmSQiQTQKQyobrGiSm9Fi41Hg9GBFpurXe3TZ0CSHFq5GEa7CwNTFLgoW4M6kxNiESAVCSGXCuH2eAAIcVG2FmcaTPAwhqZWJ5osdmQnKbyDUXo8VjmA8xbgzSYHUpVyFKarMW5gEgw2J8oaLWDgMG6gzp9Y5RIRWixOVOitkEsESFFKkJOk6DBQ43wTMOC9BcHu4qGRi2FzeiCXCDE4RQk3w7l9DAxIUsLFe2DlPdAqxNBbXMhJkvtHxOUmKTBtaDoGJSlwot4IN8+QqpHBYOVhdvAw2pxoaLWhyezEtWOzMW5gMlJGSDFteCZO1Rnw3xMNqGqxwWR1QiIUghN4+2MBb3+ZWCiAXCxCikoKuUSEIZnehAmwczU2Ocr1ZvxY3oxWpxuZOjkkQgGO1ZhQkKbEiAHaLvd3brISlw9Nx3cljThV1wo774TIBkiEAjTZnWi1O7H3bAtUMhGyk+TISVLgmtE50MokMNpdGD1Ah9xkBc40WpCiECM/TQ25RAibk4fd5b0ANDl46BRi2J1uNJpskIqE0Ci9F1xSidB/TkdSUAnL95DG3uA4Dl999VWv1+tP2g7/TlVJ/SeHzcljeKYGZU1mVOutaDDa8MWxOozI0kKnCK3TtetaGYNAwGFYpgY878G3pxvhdHMwO1wobTBDLRejMF2FDLUMSUopLslPw38sNTDaXDhU2YLc5M5DrtvWHuUSIawuNyx2HvWtVjSbnKgxWLH4krx2SUshEWHmqKxzAxx6vz0KiQhNZiBTJIST92BSQRo4AYcagw21RiuaW51w8DzSNTKUNltw48UDkXquH6jjfV++ZW4Pw4AkBZZPS+p0D5Zccr7GCwDXjMmGVCTA5v2VMFpcOFZjwvdnmnBFh852hUQIpUSENLUEVpd3wERFswVZGjmSVWL/6MoUlQTycwWv1enG0HPNtA0mO842uXG20Yx98s4XMAqJyH8ctd2mIRlqDEhSAGDYX9aC/eV6KGQi6BSBR3L61k3XSNFsFiNN44ZAYILL4+37ydUpIBQIkKKSIDc5HVlaGb44Vg8ODBKhEB6PB8nKnm+5SFFJMKUgDWkqCQ6UG8DAIBYJMaqbWoMiWYRrxmRj99lmiAUCyMTCc7+/A2Y7D73FiZwkefsLEIkbbo8ETrcHcgGD28Mgl4j8+7jZ7IBOIcHFg1Ngc3lr2rZzyd/7e0ghl7gxKFWBy4ak+W/1sLncOFCuh1jIUNpohd3lhlDIoabFdu6zvRcTQzPVyE1V4WSdCa5zzdZauQTyc83m2UkyyCxC/+AT3/a4Pd5ad45OAQfvBgeGUw2t4N0MR6uMEHIcTteZUGvUQioRdls2DMlQgYM3SR2o0MPicCNLJ4NcKkJtiw0OF8OJOhO+OFqHmSMzUZyfgoJ0lb81AgAyNHI43R7kJMnb9XNXtdiQpJRAJRO32+/RFlTC8ng8vb4ROM4esxUTvsIIYGgyO6CQCJGqksLq9HZcXzM6G4cqWlDSaEGj2Y5DVQYMTFZiTFjv9+WQqZFBKOCQrJAiS6dAeZMFDa02GGwuHChrgcnmwsgsLfLSvP1pkyzJ2H6iHnqLEydqDMjWydr1TSkk7e9junxoGmpMNpidPMwOB3acakSDyY55F+diYl5Kn+8HOd9U6t2f3kJUgWydHN+VNuLH8ha02niAE6Gh1YEcnQKn6kwYmqnpMpF3vIE5UIJs/34Rxg1MgocxfH2iDk43cKDSgNwUFYZkqNrF6atluRlQqbfCZHOhTG+GXKKBVi6Gd9BC57iKBuqQoZbB5fagQm9Fo8mOY9VGTB3W8YKh87ptl102NA0XZWvh61MMpN1nqAC5xA2nW4lagx3weGBy8ChIU/rf4x800miBRMhBFmSzta9JeECSHMkqGc42WTAoVdlj05H3YoeD2cGf65s930rhq112vFDw8jZzOnk3bE43aow2ZGtl/oTk+921cjEOVxugEAthd0oxJjep/eclt6+NjjekwGB14HCFAS02FwaneeNra0i62t80bXXy7Ubh+WrC7feNN5ZkpdjbbKyWoKnVCaebweLg0WJ2osnigMHqhMnqxI8VRhhtri5ng1FIRCjMUKHF5oTJxqPF5kCySopxOUlwuHh8faIBJY0WfHm8FmAM1xfldjoPfHF1PBcCXST5xN2Nw9u2bYtoEP1VxyspX/Ogb4DC6BwdCtJV+K6kGd+VNEEjE8HJh3dy0vZNhULIJToU56eg2ezAO7vL0eCyw2hzQi3zDgn3Xj2lwWR340h1C3aWNMHGe3DF8Iwuh3SPzU3CgCQ5vjvThA9/rEa13orjtSas31mGxlYnpg9PC6nW2PEG5baFrG8OuQy1DMX5KcjSyeHgPeDdHujkEqRp5D3sl973E6aopLh0SDrkEiG+PFqPRqMNnx2pht2VgcGpqjZxei9MnLwSZhuPMw2tEAoEyFDL/E2VnZPx+UE3yUoxNv1QCaPFiRN1rd02BXW5bb24B+f8vhUiWSFFi8UBzbnE2pYvhpJGC+xmO1qszm5vem7/HUIUpqsxQCf313p60rYW6ouzq4Kz7bnm68utMdphd7pRY7QjN1kJ38wXNqcbJpsTKokQDjeDTNz9vmqbbEZma/03/nYVg+//e9ovHY9Bq1MIuUSEGyfkQm91oaKpFYeqjBALBWDgcKrOhMOVehxJV+HasQMC3niskIgwMtt7nppsTmhlYgxM8daWHbz3wtlo5bHvbAtGDkjC2Nz2Nd0ua73dnC+9mUigr6gPKwraJg2r0w2z49wsGBJvH8SVF2UgXS3z33Ef3u/ufKB5aylSTMlPQVmzFUqJAKlqqf8ETFFJcPGgZJysM8LhYjhSZUBBmho5yV3fmZ+qkuG6cTkYmKLE+l1ncarOjHqjDV8dq4NGJsTMUdkhxN65hno+YXkHmeiU3g73dLUcCpkI8nM3W3dVs+gL377M1MgxJFON70ubUdVsxdZjdfifsQP8fTC+hCGXCFDSaIZYLES9yQaD1YWxud642l7EdNynuclKXDk8A9+caoTLw1DaYAnx3pwQti9ZhBSVpMv9DnCQCAT44kQD3G4PKjPVuGZMdo8FVW+TqH+dbmqSgdc5f65la2WoMdqRrW0/64hEJECSUookpRTd1UIDO99iEe7C2fd5eosTWpkIUwrTMaUwDXqLC3vPNuFkrRFNFgeazU44eYY5Y7IwNiep0+ekqs7fa9b2wmjcQO9tFz+U68F7PNhT2ogBSZ1rfr2Pu3MtLVL6vMdbW1thNBrh8XQegz9w4MC+fnzCC1Rdbjt6EPAeqMX5KVGKx3s11Gx2IlOrgE4h6TS9j68Zp6I5FbvONMPO86g32XC6oTXgHe9tjc1Nwq+ulmDLgSp8V9IMl9uNGoMtpFgD1VDPX8F6T5IBOhlsTg+CnfMvHLKT5Bhq08BkdeFARQtcHoZT9a0Yk9ux8OBwUaYWeosTapkYcvH5hyP0dJIPyVCjweRAq90FhuCa10Npmgm0Tk/73enxwO1xo9HsgLpFiKoWW7s+j1hqV8tJ9g5wsDrd/hq5/tzgjK6mtOr588NbOHfc/1anGxKhAE63x78sVSVDWbMFwzK1sFd5+wGPVBnAezzgGNrd1hGo5u5/TeLGrFHZkIiEKGlohcXpRrXBHoaEFb1JtkP+lpdffhnPPfccSktLu3yP203P3gnUrNV29GC0ta21aBViJAskXXaiTilMg1Qswv4KPX6s0ONYrQlTh6Rh5ABdt1fLuclK3FQ8CCqZGAabEwN03TfPdaXtnGYdH40RzZOko1SVzDvqjwH1rXYwDnAFaMpVSITITVHgJ+oBsLk87aay6rmmIML4Qbp2/SA9CaVpprt1AvdviFCQpsSZVBXMDheqDTYcqzFCLo78PHKh6PgcMDfzDvoAuJASfLiPu87lw/nRj22/56JzI2mHZyqxp8yAGoMFZxrM+M/hGky2pSI/VeVPzt39ngBQNCgJSql3H7S9iEoEIe35V155Bb/4xS8wa9YsLFu2DI888gh+9atfQSaTYd26dcjIyMD9998f7lgTUqCTPpptvp3jEZ27kuv6SrHtjcCDU5QobTTjaJUJDt5bU8o6d09Md1JVMlw7NrtXBW7nOM7fTxXLkUmBKCQi5KepcGlhKqr0NmSfG3bdsT/A+3dosQfqqO8+pt5f/Xe3TleFc6pKhqlD0tBq59Fo8k7lk5+qRIpKEhe1rI7D39tuX8d7I2N1Hvq07y7onEB9y1JUUlxW6E1Ig9PU2Li3AmWNFpxtskArl6DeZIdcJMTAVKV/bsjO39WmrzKk5tDYC+lX+vvf/45Zs2bhP//5D5qbm/HII49g7ty5uOKKK/DQQw9hwoQJaG5uDnesCalzx6q30zfWB0tPnai+fjaVVISCVBVO1phQY7KhodWOA2UtGKDruUmltwVu5xij1zYeihSVBBdl66CRSWB1eVDVYm0zq0XXTXSRGlUVytV/qDWGFJUUA7RyOF1uCACcqDWhxerCxLzkmCetjreTdDX6z/feWB5fbfd/oCbYrraleHAKBBwHs82BveV6aKRCZOkUUMnE55rtu6+9x2NtOBgh1QdLSkpw3XXXAQDEYu/Vs9PpBABotVr8/Oc/x0svvRSmEPsXX6dvxxkh4onvPiuVVAi5RIAMrRyzRmXioiwNhBzwY5UB+ytaohBH7J7Q2xNf0klWisG7PbA7eBgsTv9rTWYHmjuMDj2/buI/rl4h8Q7zv3xoOgABzjZbUKk3x8U2KSTBPV257fEVD08wDhR3V8suytZi5ogMZCUpkSQXweJ0n7tfLfI378ZSSAlLq9WC570/rEajgUKhQGVlpf91tVqNurq68ETYzwR7MkVKMCemQiI6Nw2OEjanB27GkJ2kxDWjs6GTS+Dg3ThVa4rpyR1rvqQDcBiUqkKmzvv4k46vBfqtY30MBKunYyVFJYFSKkK6VgLew1DS0IptJ+pRqbdEOdL2QrnQiYeLiEBxd7VsaKYaE/JSMDk/FQOSFCjOT0VxfmpQ0zglspC2bNSoUTh48KD/78mTJ+Pll1/GNddcA4/Hg1dffRVDhw4NW5CJqrsRWLGLqbft9gwysXfalRSVChV6C842WpGhlsWk7b/zqKrYPFG23f1tyXIkqyTtOsx9NzgHiilQM3EstqEnwRwrcrEQwzI1sDl47K/Q47MjtWi2uHDblEFxtS09iffm50CsTjeGZ2mQn6by36+WSPs8FCFt3aJFi/DKK6/A4XBAKpVi9erVuOqqq/zD2MViMd57772wBppo2s75BnR9Q1609fbEbDtDgEIiwvThGRiSGfjGyWiwOt3tpueJVcd5x6QTeLBFcGKxDcEkyZ6OFV/z9oAkBTgAB6oNcLndOFqpx6dKCYrzk8P60MdQBHsxEOsLyVD0dGHUH3EsTHMolZaW4qOPPoJQKMTMmTMTuoZlMpmg1WphNBqh0fT+Rl5fsnK7PRAKBXFzj0p/0PZCQCUTt6/pJNg+9j1ETy729WlGbxt8Hfx9GYHZcf7FvWf1+PRQNapbbMjQynBJQSrmBHFTcSSFYztJZPWmvA3bkZSfn48HHnggXB+X0E7Xm1HWbIZOLomLUVP9iULSfnqeRLwy9tFbXDDZXGixMoweoA24HZEbUdi7mnZPzdtWJ4+RA7SobrHA4XajssWGnWcaIBELcOVFmTH7jRKxqY90rc9HkcfjgdFoDDjZbXJycl8/PiEZrQ4IwIEDS9jCNJ7Fa5LqbXJJVorRYnVCIxN12RwYqebCYPehb5tsTh6Sbp535IuzIF0Dh5vB5WpGi5XH18fqIBULUTQwKSrTS3UUr8cKCU1Iv6TL5cIzzzyDtWvXorKyMuC0TMCFO9NFplYOu9uKTG1oMzyQxBJsod5RqkoG33Q8Xd3AHet79noa8ejjq8mMztFidI4WUqEAO041oNniwrFqIzLVfZ+zrusY43PQCgm/kH7d5cuXY/369Zg8eTKuv/56aLXacMeV8NRSOnEiLV4KKl+hbnN6Ok3B1JOebuD2zTwe6ya1njr2O27HzFGZ0FudONvYCjvv7nFG9L4IVAvt6diIl2OH9E5Iv9SmTZtw2223Yd26dWEOp3+wuzxwexjsrsA1z3iR6CdtPEytA5wv1OUSASTn5qkL5+cGnjU9OkJtUktVyTBmgBYamRjJCjFykiPX2tDV9GdtR5N23IZ4OXbaSvTzMRpC2isKhQKTJ08Odyz9Rtuni8azeDxpeyNeOtSDmZ8xkJ4KKN/ndvcoknjQ1XaMGKBFpk7hf8pupARKqgpJ1w979L0e62Mn0Eztff2d+3vSC2mmi5tvvhkff/xxuGPpN1JVMgzNUMekk7k3EmXGha7E29RNvY0n2NkV4u136jgDRlfbEcvzwDea1HfrQ6DXY3XsdDV1Vzh+53iYsSOSQroPy+l0YtmyZTAYDFi2bBlyc3MhFHbeyUVFRWEJMtr6eh8WIcFI1Kvhtvc2KSRC/8z+0XoeWaLz7T8n7wn7DBWJeExF/D4sh8MBj8eD//znP/jPf/7T6XXGGDiOu2BHCSbiQUOiL1GHXLdtTqvSW9FscSJF2f9mW4j0PXCRmKEiUY+pYIW0ZcuWLcMHH3yAm266CcXFxTRKsINE7xvqL+L9wiHe4+tK20LR7vLA4uDh4j3ISe7+sRaxEup+juU9cMHGnKjHUKhC2sLPP/8c9913H55//vlwx9MvxEOHLomPC4fuCpSO/Q3xXvAE2pbsJBlsvLvbm59jLdTjIJbncbAxx8MxHk0hDbrQaDQoLCwMdywAvM2NK1asQHZ2NuRyOYqLi7F169Ye13v88cfBcVynfzJZbDp842kwwIUqHgYrdNcJ3ja+rt4XD89pOh9L5xhTVTKMHqBFmloWtxdooR4HsTyPg3+mV+yP8WgK6Ze444478O9//xt33XVXwMEWfbF06VJs3rwZv/zlLzFkyBCsW7cO11xzDb7++mtcdtllPa7/8ssvQ6VS+f8Od3wktnrTBBIP7fm9eQR9oPfF0xV0V9sSD/u5O/EeXyDBxpyI29YXIW3piBEjsGXLFhQVFWHJkiVdjhKcN29erz53z5492LBhA/785z/jwQcfBAAsXrwYo0aNwkMPPYRdu3b1+Bnz589Hampqr773QpCIbd2BYo6nAjwYfS144ql5+UIrHONRIp7H4RTSFi9cuND//77E0lEoowQ3b94MoVCIO++8079MJpPh9ttvx8MPP4zKykrk5uZ2+xmMMZhMJqjVanBceGYc6A8SraAHAsccTwV4NFCS6L9CST6JeB6HU0hb/PXXX4c7DgDAgQMHMHTo0E5j8SdNmgQA+PHHH3tMWPn5+TCbzVAqlbj++uvx7LPPIiMjIyLxJpJELOgDxdzfCvBEumJOpFgTQSjJJxHP43Dq9VFnt9tx8OBBjBs3DlOnTg1rMLW1tcjKyuq03Lespqamy3WTkpJw7733YsqUKZBKpdixYwf+8Y9/YM+ePdi3b1+3N6Q5HA44HA7/3yaTqQ9bER86Fi6JWNAnYsy91bHQiuekcKFf3YdbKMknXs6JWB2nvf4mmUyGFStW4IUXXgh7wrLZbJBKOz9GwTfSz2azdblux4dH/vSnP8WkSZNw66234qWXXsLvfve7Ltd9+umnsXr16hCjjk9UuCSGjoVWNH633hY2vvcDrMsRaR2fPhyvSTeexEvyCUWsbskIaVj7qFGjUFZWFuZQALlc3q6m42O32/2v98Ytt9yCzMxMfPnll92+b+XKlTAajf5/lZWVvfqeeHQhDXeNp6HfvdVx6HQ0frfezjfX9plYXQ3z9r2n2exEVYsNZrur385nR4K7JSMSQkqHTz75JG655RbMmDEDV111VdiCycrKQnV1dafltbW1AIDs7Oxef2Zubi70en2375FKpQFrdokska/eeqs/1Saj8bv1tikqmPe3fRSKRCiA0+25IC6WLlTB3JIRCSGdGS+++CKSk5Mxa9Ys5OXlIS8vr1Pth+M4bNmypVefO27cOHz99dcwmUzt+px2797tf703GGMoKyvD+PHje7UeSSwXekd0b/U2KQbz/kCPWEn0iwcSnGheHIfUJHjo0CG4XC4MHDgQbrcbZ86cweHDhzv966358+fD7XZjzZo1/mUOhwOvv/46iouL/SMEKyoqcOLEiXbrNjY2dvq8l19+GY2NjZg9e3avYyGJI95nFknkJsuOetqWeP8t+pP+dFwFK6SjKhL9VwBQXFyMG2+8EStXrkRDQwMKCwuxfv16lJWV4bXXXvO/b/Hixfjmm2/Q9skogwYNwsKFCzF69GjIZDJ8++232LBhA8aNG4fly5dHJF5CgtGfmiwTaVviecRlOLTtN7RK+u92thV3W/fGG2/gsccew5tvvomWlhaMGTMGH3/8cY8jEm+99Vbs2rUL7733Hux2OwYNGoSHHnoIjzzyCBQKRZSiJ6SzYJosE6VwTaTm10RKrqFo22/Yn7ezrZAe4OjzzTff4JNPPkF5eTkAby1n7ty5mDZtWtgCjAV6gCMJp2CSUduHIqaq+tcAoFhJlIuAjkK97SDRttMn4g9wdDqduPnmm/Hhhx+CMQadTgcAMBgMePbZZ3HDDTfg3//+N8RicSgfT0i/EsyVfiLVXBJFoo6U7W3NMFG3MxQhDbpYvXo1PvjgA/zmN79BbW0t9Ho99Ho96urq8OCDD+L999/HE088Ee5YCUlIwdxbRYMVQtffBh9cSPdQ9lZITYJ5eXmYPn06Xn/99YCvL126FNu2bYvY4IxIoyZBQhJHpd4Cs8MNlVSI3GRlrMMhvdSb8jakGlZtbS2Ki4u7fL24uBh1dXWhfDQhpJ+JfA2I6/DfxNLfaoiRFFLCysnJwbZt27p8/ZtvvkFOTk6oMRFC+pFIT92TopIgTS1FikoSkc+PtGhObZToQkpYS5Yswbvvvou77roLJ0+ehNvthsfjwcmTJ3H33Xdj06ZNWLp0aZhDJZFAV3ck0iLdJ5Po/X/UZxW8kPqw3G43br/9drzxxhvgOA4CgTfveTweMMawZMkSvPbaa/7lieZC6sOi4dSEkFjqTXnbp/uwDh06hE8//bTdfVjXXHMNxowZE+pHxoULKWEl+j0chIQTnQ/RF/H7sHzGjBmT8MnpQnch3cMRr6iQjB/9fXaMRJeYbXaE9CPU6R4/qD8pvgV9CdHbmhTHcTh48GCvAyLkQkOzXMQPanGIb0H/MsnJyeC4nu9zqKurw8mTJ4N6LyGECklCghX0WdLdfVeAN1E988wzePXVVyEUCnHbbbf1NTYSIdRnQghJRH3uw6qvr8evfvUrFBQU4B//+AduuukmnDhxAmvXrg1HfCQC4rXPhO4JI9FCx1piCvny2lejWrNmDVwuFxYtWoRHH30U+fn54YyPREC89pl0NUKLaoQk3Gg0YGLq9S9VV1eHP/3pT/jnP/8Jl8uF2267DY8++ijy8vIiER+JgHjtM+kqkV6IhQsl6b7paf/F60Ub6V7QZ0Jtba0/UfE8j8WLF+ORRx6hREXCpqtEeiEWLomcpOMh2fa0/+L1oo10L+hfrKCgAA6HA+PGjcPDDz+MvLw8tLS0oKWlpct1ioqKwhIkCZ94KEx660IsXBI5ScdDsk3k/Ue6FvTUTG3nBexpyDpjDBzHwe2Or079YPXnqZn609yB8Zx84zm2SLuQt530XkSmZurqYY0ksfSnK894uJLvSjzHFmkXYo2YREfQR9WSJUsiGQeJkv5UmMRz8o3n2EJFNScSa3TUkYQVz8k3nmML1YVcayTxgSa/JYQEhSaGJbFGl0mEkKD0x1ojSSx09BE/6qMg/QUdy/0TNQkSv3idY5CQ3qJjuX+ihEX8qI+C9Bd0LPdPVFcm7ZpPEv1mYhJZidLURv1t/RPVsAg1n5CgdTxWEvExHYkYM/GihEUStvmECp7o63isJOLFTrzFTMdx8ChhXeCsTh7NZidsCXiyxFvBcyFQSERIVUn9zW2JeLETbzHTcRw8auS9wFmdbpgd3mQllyTWDAaxnP4oUfpyIi0R+4riLeb+OI1XpMTPr0ZiQiERQiUVAWAJd8LEsuChaYpIuARzHNMFkteFu+UEwLmTJZkOg96iq+LEl0hJgC6QvC7cLSekD+KtWSma4r2gDza+eEkCwcTbmwukaPw+sToGaNAFIaRX4n2QQLDxxcvgi2Di7TjYpa+f11exOgYoYRFCeonBaHMBCOph5REVaEh4sImoN0kgksKdOKORiGOV7OMuYTkcDqxYsQLZ2dmQy+UoLi7G1q1bg1q3uroaCxYsgE6ng0ajwU9+8hOUlpZGOGISKf31/pR4366e4+OglYsBcNEMK6BAV/rxkoiCFe54o7H9sdrHcZewli5diueeew633nor/va3v0EoFOKaa67Bt99+2+16ZrMZM2bMwDfffIOHH34Yq1evxoEDBzBt2jQ0NzdHKXoSToEKo3gv7IMRr01qvn3bbHZ0G1+8NKXFWyzh1B+O80iIq0uQPXv2YMOGDfjzn/+MBx98EACwePFijBo1Cg899BB27drV5bovvfQSTp8+jT179mDixIkAgDlz5mDUqFF49tln8dRTT0VlG0j4BOpojpeO8r5ou13xNIDBt28BrtskkKgDTuJpXwfiu4nf19QqEQl7dZzH+/aFQ1zVsDZv3gyhUIg777zTv0wmk+H222/Hd999h8rKym7XnThxoj9ZAcDw4cNx5ZVX4t13341o3IkmUa7eAjU79Icr6rbb1d3cfL7/bzLbo/J7+fatzcmjpNGM5nPfWam3olJvaRdTvBw7XdVWA8XZbHaisdWB0/VmHKwy4FS9KS62o23N1uzgYXa40dNFQ9v1fNsQq5p7NI+JuEpYBw4cwNChQ6HRaNotnzRpEgDgxx9/DLiex+PBoUOHMGHChE6vTZo0CSUlJWhtbQ17vIkqXpukgpFo/RM96W5uPt//6y2uqPxevn3bYnPB7nSjxmj3z4RidrjbxRQvx05XFzCB4/TWXIxWB1ptLjSbnXGxHW1rtiqpCCqpECkqSY/HecdtjNXFXDSPibg662tra5GVldVpuW9ZTU1NwPX0ej0cDkeP6w4bNizg+g6HAw6Hw/+30WgEAJhMpt5tQILgnTxsTjfkEiFMHkfPK5CIkgDg7YDJ3v63AQCb0w0xGKxme9R+LzXnhMXhgFoqBW+3gDm8zVS8mPfHFE/HTtv95xPoGBd7eMiYG6lSD1psDkjFAvB2Qcy3o22svgTF263ttqen9XzbEGhfRFpfyxNfOctYz6NO4yph2Ww2SKWdn8ckk8n8r3e1HoCQ1gWAp59+GqtXr+60PDc3t+egCSGE9Flrayu0Wm2374mrhCWXy9vVdHzsdrv/9a7WAxDSugCwcuVK/PrXv/b/7fF4oNfrkZKSAo7rPHTXZDIhNzcXlZWVnZov4x3FHn2JGjdAscdCosYNhBY7Ywytra3Izs7u8b1xlbCysrJQXV3daXltbS0AdLlBycnJkEql/vf1Zl3AWzPrWDvT6XQ9xqvRaBLugPKh2KMvUeMGKPZYSNS4gd7H3lPNyieuBl2MGzcOp06d6tR3tHv3bv/rgQgEAowePRr79u3r9Nru3buRn58PtVod9ngJIYRET1wlrPnz58PtdmPNmjX+ZQ6HA6+//jqKi4v9fUoVFRU4ceJEp3X37t3bLmmdPHkS//3vf3HjjTdGZwMIIYRETFw1CRYXF+PGG2/EypUr0dDQgMLCQqxfvx5lZWV47bXX/O9bvHgxvvnmm3ajSu655x7885//xNy5c/Hggw9CLBbjueeeQ0ZGBn7zm9+ENU6pVIpVq1YFHOQR7yj26EvUuAGKPRYSNW4g8rFzLJixhFFkt9vx2GOP4a233kJLSwvGjBmDP/zhD5g1a5b/PdOnT++UsACgqqoKv/rVr/DFF1/A4/Fg+vTpeP7551FYWBjtzSCEEBJmcZewCCGEkEDiqg+LEEII6QolLEIIIQmBEhYhhJCEQAmLEEJIUGI95IESFompWJ8AhESLb1LtRLRx40YACDhVXTRRwoL3sSYVFRXtDqhEKUitVmusQwhJaWkprFarf67HRHLw4EGcPn0aVVVV/mWJcrxs2bIF99xzD0pLSwF4581MBP/+97+hVquxc+fOWIfSa++//z5mzpyJ559/HmVlZbEOp1c2bNiAgoIC3HzzzT0+9T0aLuiEdfz4cVx22WW48sorMXbsWEyaNAnvvfceeJ4Hx3FxXQidPHkSF198MX7+85/HOpReOXToEObOnYvrrrsOeXl5mD59Onbu3BnX+9rn0KFDuPrqq3Httdfi4osvxtixY/HCCy/4j5d4t3XrVtxwww1488038fHHHwPwTmsWzw4cOIDi4mIsW7YMc+fOTai59WpqajB37lwsXrwYEokECoUCCoUi1mEFxbfflyxZArVaDZlMFnBy8ahjF6j6+no2fvx4dskll7C1a9eytWvXssmTJzOdTsdWrVrFGGPM4/HENsgAPB4P27x5Mxs6dCjjOI5xHMe2bdsW67B6xPM8e+GFF1haWhqbNm0a+/3vf8/uuecelpuby4YPHx7X2+B0OtmTTz7JdDodmzZtGvv73//O/v3vf7Pp06czjUbD3n///ViH2C3fcfzDDz+wlJQUJpfLWXFxMfvxxx8ZY4y53e5YhheQ1WplP/vZzxjHcWzatGlsy5YtrL6+PtZh9cqqVavYRRddxN5++21WUVER63CCYjQa2eLFixnHcWz69Olsy5Yt7JNPPmEymYz95S9/YYx5z+VYuWAT1oYNG5hIJGKbN2/2L6uqqmILFy5kHMexL7/8MobRda2kpISNGjWKpaSksD/+8Y9sxIgRbPLkyczlcsU6tG599tlnLD8/ny1btoydOHHCv3znzp2M4zi2YsWKuN2GTz75hBUVFbFf/vKX7NSpU/4T9vTp04zjOPa///u/cXlx09HmzZvZzJkz2SuvvMI4jmMPP/ywf1viKX6e59mTTz7JOI5jd9xxB2tsbOzy2IinuNuqqKhgGRkZ7P777++0vK14it9isbAhQ4aw/Px89vLLL7Py8nLGGGOlpaUsKSmJzZs3L+YXNxdswnrmmWeYVqv1/wBOp5Mx5r0KnTRpEhs1alRcXtGVl5ezhx9+2H91/I9//INxHMf+9a9/xTiy7j333HPsoosuYg0NDf5lDoeDMcbY5MmT2dVXX80Yi68T2Ofbb79lzz77bLvYGWPsgw8+YOnp6Wzjxo2MsfiMnbHzce3evZtptVrGGGNXXXUVy8rKYlu3bm33nnixb98+dumll7Lhw4f7l23ZsoUtWbKEPfTQQ2zt2rX+4ycebd++nSkUCnbq1CnGGGNvvPEGGzFiBBsxYgS7/vrr2TvvvBPjCNvzlYO7du1iR44c8ZeHPhMnTmTTp09ndrs9psdKv09Yvh+i405+/vnnmVqtZl9//TVjjLW70ty4cSOTSqXsqaeeCrhutHQVu91u9///yZMn2cyZM1lOTg5ramqKanxdaRt329hPnjzZ7nXGvPt9+vTp7LLLLmM2my26gQbQ1T7vaMeOHWzUqFFMo9Gwxx9/nB0+fJi1tLS0+4xo6yn2zZs3s8LCQsYYYwcOHGAcx7ElS5YwvV7f7XqR1lXcvprgb37zGzZz5kzGcRwrLCxkarWacRzH5s2bx44cOdLuM6Ktq9j37dvHRCIR++CDD9jatWuZQCBg8+fPZ0uWLGHp6emM4zj2+uuvxyDi84I51j0eD3O73ewXv/gF02q1/mM8VsdKv01Yvn6HjjUP347eunUrk0ql7PHHH/cv8/2AdXV1bMGCBSwtLS0mV3Fdxd6VjRs3Mrlczh566KEIR9a93sbtS2jjx49nCxcu9C+LhWBi9x0fK1asYBzHsRkzZrAlS5aw22+/nel0OnbTTTdFK9x2eordt0/37NnD1Go1q6mpYYwxdvvttzOpVOq/2rdYLNEJ+JyeztHy8nI2f/58xnEcu+KKK9hnn33GysvLWXV1NfvDH/7ABAIBu/HGG6Mas09P+3zfvn0sNTWVLVq0iI0dO5Y99thjrLW1lTHG2KFDh9isWbNYSkoKO378eDTDZoz1/jxljLHHHnuMcRzH/u///i+CkfWsXyas7du3s5EjRzKO49jMmTPZsWPHGGOdC8OioiI2fvx4dvjw4U6vv/3220wkErGXX3454Lqxjr3tsoaGBrZs2TImk8n8V5zRLvh7E3dblZWVTKlUsqeffpoxFpsO3WBj9/39wQcfsI0bN7Kmpib/spUrVzKBQMD+/Oc/M8aid8Xfm/3+7rvvsqFDh/qbuk0mE1MoFGzGjBnsZz/7Gbvtttv8ySxe4n777bfZ0qVL2c6dOzu9duuttzKtVusvROPtHL300kuZQCBgqampbNeuXe1e++KLL1hycjJ74IEHGGPxeby0jWvHjh2M4zj27rvvdvv+SOt3Ceu7775jw4cPZ4MHD2Y33ngj4ziOPfPMM+06bX2F4pYtWxjHceyPf/yjvznK99rJkydZTk4Ou/POO6N2MAUTe1e++uorNmDAAHbDDTdEIdL2+hL39u3bGcdx7PPPP49CpJ31JvbuTtLTp0+zwsJCNnbs2HZNtpEUbOy+uHfs2MEUCgWrrKz0v3bzzTczoVDIxGIxW7VqFTObzXERty9mo9HYqe/Q977vv/+ecRzXrpUkHmL3lSGfffaZfySvrybla7FpaGhgs2fPZrm5uXF3vARy5MgRlpSUxO677z7GGCWssDl27BiTSqVs06ZNjDHGLr/8cjZkyBC2c+fOgO+/5pprWHZ2Nvvoo48YY+2v8EeOHMkWL17MGIvOD9Tb2NvGZTab/dX2r776ijHG2DfffMO2bNnS7n3xErfPSy+9xEQikb+5hOd5VlJSwvbt2xfxuBnrW+yMtb8ynjJlCps8eXLUCqCOsU+dOrXb2Dds2MCGDRvGDAYD+/rrr9lll13GhEIh02g0rLCwkO3YsYMxFr/7vGPTfWNjI9PpdFFtCu9t7LfeeivjOI4tX76cMcbaJYf58+ezESNGMKPRGPnAWd+O9YaGBjZo0CB25ZVXMpPJFOlQu9SvEpYv2bS9IvNdwd9///3+A6NtIVNeXs5UKhWbPHky279/v3/5999/zzQaDVu9enVcxR6oMPFtz4kTJ1hRUREbPXo0W716NcvNzWUpKSkRHe3Yl7gZY+y6665jl1xyCWPM2zz41ltvsfHjx7OioiLW3Nwcsbj7GnvHWvfnn3/OxGIx++UvfxnBiM/rTey++L/66ismkUjYtddey4RCIbv00kvZ9u3b2bvvvusvVCPdZxvOff7SSy8xjuPYP//5zwhGfF4o5UtlZSXTaDSdWhGOHj3KCgoK2KJFi6JyMRyO/T5v3jw2cuRIZjabqYbVWxs2bGDLly9nf/rTn9j27dv9y9vuSN+OXrJkCdPpdOzDDz9s9xm+H3HdunVs4MCBLC8vj73wwgvsX//6F7vuuutYbm4uO3ToUFzGHkh5eTlbunSpvxniJz/5Sbvmn3iK2+PxsNbWVpaVlcVuuukm9uWXX7L/+Z//YRzHsdmzZ7OqqqqwxR3u2NuqqalhH330EZs2bRobMWKEvz80HmPfuXMnGzNmDLvooovYiy++yCorK/3nwKWXXsruuOOOsCasSO3zuro69sEHH7AxY8awadOmRWR0bDjLlw0bNrCsrCyWnJzM7rjjDvbUU0+xOXPmsKSkpIg0hUdiv3s8HvbHP/6RcRznH+0bi6SVcAmrrq6OzZo1iymVSlZUVMSSkpKYVCplq1at8g+57HgzZFVVFVOpVGzevHn+Atztdrfb4du2bWOXXnop02q1LCUlhY0ZM4Z9++23cRt7Rzt27GCzZ89mAoGAjR8/PugmrVjGfebMGaZQKFhRURFTqVRs2LBh/ubMeI9927Zt7I477mDz589narWajR07lu3duzcuY/c1QzmdTrZ9+3Z2+PBhf2LyrRfOWwoiuc/vuusudvPNNzOVSsWKior89yPGY+xty5edO3eyWbNmMZ1Ox9LT09n48ePbJZN4iz2Q559/nnEc126yhWhLuIS1fv16lpyczN5++21WU1PDmpub2dKlS5larWb33HNPp/f7fpgnn3ySCQQCtmbNmnYHUtv/t9lsrL6+PuwFT6Rib+vLL79kEomEvfjiiwkT93//+1/GcRxLT0+PSNyRjP2jjz5ihYWFbPr06Wzt2rUJE3s0roojtc83b97MVCoVKy4ujlgzYCTLF4fDwVpaWtjBgwcTInYfXwKrra1l69ati0jswUq4hDVt2jQ2efLkdsssFgtbsmQJ4ziOffLJJ4yxzlcJTqeTFRQUsOLiYv/d5yUlJe3adCM9GjCSsTMWuSHh4Y67bZ/aq6++2umu+kSJvaSkJKLHTDhjP3PmTKfjJRHi7rjPDx48GNFbH6h8CRx7vMyEkjAJy+12M7vdzmbNmsUuvfRS/3Jfc8cPP/zALr74Ypafn99p53Ycxr5ixQr2+uuvs6KiInb//fdH/IbJRI09knFHeqRRJGOP9NDvSMZutVoTMu5E3udUvoRPXCas48ePswceeIDdd9997JFHHvFnfcYYu/7669mwYcP8ndttrxbWrFnDOI5jzz//PGOsc43D5XKxiRMnMqFQyDiOY1lZWeyzzz6j2BM4boo9NrEnatwUe+xiD4e4SlgOh4M9+OCDTC6XswkTJrAhQ4YwjuNYfn6+/96BzZs3M47j2Nq1a/0/iG/nl5WVsSuvvJLl5eV16lTev38/e+SRR5hKpWJqtZr99a9/pdgTOG6KnY4Xij0xYg+nuElYra2t7OGHH2b5+fnsmWeeYSdPnmRut5t9+eWXLDs7m11++eXMarUynufZ2LFj2dSpU1lZWVmnz3n88ceZTqfzt9cy5v1h7r33Xv9kn76bVC/02BM1boo9NrEnatwUe+xiD7e4SVhnz55leXl5bPny5cxgMLR7bfny5SwtLc0/+8Gbb77JOI5jzz33nL+N1XfVcODAASYQCNgHH3zAGDvfjrtnzx7/vFkUe2LHTbHT8UKxJ0bs4RY3Ccvj8bA1a9a0W+YbPfbuu+8ykUjkn4/LYDCwefPmsczMzE43vO3Zs4dxHMfWr18fncBZ4saeqHEzRrEzRsdLb1DssYk93OImYTF2PuN37BD885//zIRCYbsn1VZWVrKMjAw2cuRIf+dgdXU1u/fee9mgQYNYXV1d9AJniRt7osbNGMVOx0vvUOyxiT2c4iphdeTrOHzggQdYZmam/6rC96N9/vnnrKioiHEcx8aNG8emTJnCxGIxW716NeN5Pqb3DiRq7IkaN8VOxwvFnhix9wXHGGOIcxMmTMDgwYOxefNmuN1uCIVC/2tNTU147bXXUFJSApPJhAceeABTpkyJYbTtJWrsiRo3QLHHQqLGDVDsCSXWGbMnDQ0NTC6X+x+Mx5j36sL3WO94lqixJ2rcjFHssZCocTNGsScaQawTZk+OHDkCu92OiRMnAgDq6urwzjvvYNasWWhsbIxxdN1L1NgTNW6AYo+FRI0boNgTTdwmLHaupXLv3r3QarXIzs7Gtm3bcM8992DZsmVgjEEgEPjfF08SNfZEjRug2GMhUeMGKPaEFb3KXGjmzZvHCgoK2B133MHUajUbMmQI++KLL2IdVlASNfZEjZsxij0WEjVuxij2RBPXCctms7Fx48YxjuOYRqPxz4OVCBI19kSNmzGKPRYSNW7GKPZEFPejBFesWAGO47B69WpIpdJYh9MriRp7osYNUOyxkKhxAxR7oon7hOXxeCAQxG1XW7cSNfZEjRug2GMhUeMGKPZEE/cJixBCCAHieJQgIYQQ0hYlLEIIIQmBEhYhhJCEQAmLEEJIQqCERQghJCFQwiKEEJIQKGERQghJCJSwCCGEJARKWIQQQhICJSxCCCEJgRIWIYSQhPD/4N7SBQxvJeQAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93083,7 +93277,14 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:31:16.277304Z",
+     "iopub.status.busy": "2026-02-04T19:31:16.276756Z",
+     "iopub.status.idle": "2026-02-04T19:31:16.331817Z",
+     "shell.execute_reply": "2026-02-04T19:31:16.331264Z"
+    }
+   },
    "outputs": [],
    "source": [
     "two_way_mask = rdtools.two_way_window_filter(daily)\n",
@@ -93103,6 +93304,12 @@
    "cell_type": "code",
    "execution_count": 14,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:31:16.336479Z",
+     "iopub.status.busy": "2026-02-04T19:31:16.336479Z",
+     "iopub.status.idle": "2026-02-04T19:31:17.465298Z",
+     "shell.execute_reply": "2026-02-04T19:31:17.465298Z"
+    },
     "tags": [
      "nbsphinx-thumbnail"
     ]
@@ -93110,7 +93317,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x300 with 2 Axes>"
       ]
@@ -93148,13 +93355,20 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:31:17.469307Z",
+     "iopub.status.busy": "2026-02-04T19:31:17.469307Z",
+     "iopub.status.idle": "2026-02-04T19:31:17.474261Z",
+     "shell.execute_reply": "2026-02-04T19:31:17.474261Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The P95 exceedance level is -0.73%/yr\n"
+      "The P95 exceedance level is -0.74%/yr\n"
      ]
     }
    ],
@@ -93165,14 +93379,21 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:31:17.477269Z",
+     "iopub.status.busy": "2026-02-04T19:31:17.477269Z",
+     "iopub.status.idle": "2026-02-04T19:31:17.481848Z",
+     "shell.execute_reply": "2026-02-04T19:31:17.481848Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "-0.501\n",
-      "[-0.611 -0.322]\n"
+      "-0.408\n",
+      "[-0.629 -0.299]\n"
      ]
     }
    ],
@@ -93195,13 +93416,20 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:31:17.485857Z",
+     "iopub.status.busy": "2026-02-04T19:31:17.484864Z",
+     "iopub.status.idle": "2026-02-04T19:32:02.443094Z",
+     "shell.execute_reply": "2026-02-04T19:32:02.442084Z"
+    }
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\soiling.py:27: UserWarning:\n",
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\public\\rdtools\\rdtools\\soiling.py:27: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93225,13 +93453,20 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:02.449095Z",
+     "iopub.status.busy": "2026-02-04T19:32:02.449095Z",
+     "iopub.status.idle": "2026-02-04T19:32:02.457295Z",
+     "shell.execute_reply": "2026-02-04T19:32:02.456285Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The P50 insolation-weighted soiling ratio is 0.953\n"
+      "The P50 insolation-weighted soiling ratio is 0.956\n"
      ]
     }
    ],
@@ -93242,13 +93477,20 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:02.462291Z",
+     "iopub.status.busy": "2026-02-04T19:32:02.461299Z",
+     "iopub.status.idle": "2026-02-04T19:32:02.467436Z",
+     "shell.execute_reply": "2026-02-04T19:32:02.467436Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The 68.2% confidence interval for the insolation-weighted soiling ratio is 0.949–0.956\n"
+      "The 68.2% confidence interval for the insolation-weighted soiling ratio is 0.954–0.958\n"
      ]
     }
    ],
@@ -93260,13 +93502,20 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:02.473443Z",
+     "iopub.status.busy": "2026-02-04T19:32:02.472441Z",
+     "iopub.status.idle": "2026-02-04T19:32:13.806873Z",
+     "shell.execute_reply": "2026-02-04T19:32:13.806873Z"
+    }
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:173: UserWarning:\n",
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\public\\rdtools\\rdtools\\plotting.py:173: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93274,7 +93523,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93292,13 +93541,20 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:13.810883Z",
+     "iopub.status.busy": "2026-02-04T19:32:13.809883Z",
+     "iopub.status.idle": "2026-02-04T19:32:14.037492Z",
+     "shell.execute_reply": "2026-02-04T19:32:14.037492Z"
+    }
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:233: UserWarning:\n",
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\public\\rdtools\\rdtools\\plotting.py:233: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93306,7 +93562,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93325,7 +93581,14 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:14.040511Z",
+     "iopub.status.busy": "2026-02-04T19:32:14.040511Z",
+     "iopub.status.idle": "2026-02-04T19:32:14.055614Z",
+     "shell.execute_reply": "2026-02-04T19:32:14.055614Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -93367,8 +93630,8 @@
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.756022</td>\n",
-       "      <td>0.756022</td>\n",
+       "      <td>0.768684</td>\n",
+       "      <td>0.768684</td>\n",
        "      <td>6</td>\n",
        "      <td>False</td>\n",
        "    </tr>\n",
@@ -93379,8 +93642,8 @@
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.793434</td>\n",
-       "      <td>0.793434</td>\n",
+       "      <td>0.788069</td>\n",
+       "      <td>0.788069</td>\n",
        "      <td>0</td>\n",
        "      <td>False</td>\n",
        "    </tr>\n",
@@ -93391,33 +93654,33 @@
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.819566</td>\n",
-       "      <td>0.819566</td>\n",
+       "      <td>0.822509</td>\n",
+       "      <td>0.822509</td>\n",
        "      <td>0</td>\n",
        "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>2010-03-06 00:00:00-07:00</td>\n",
-       "      <td>2010-03-07 00:00:00-07:00</td>\n",
+       "      <td>2010-03-06 00:00:00-07:00</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>1.053380</td>\n",
-       "      <td>1.053380</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.050388</td>\n",
+       "      <td>1.050388</td>\n",
+       "      <td>0</td>\n",
        "      <td>False</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2010-03-08 00:00:00-07:00</td>\n",
-       "      <td>2010-03-09 00:00:00-07:00</td>\n",
+       "      <td>2010-03-07 00:00:00-07:00</td>\n",
+       "      <td>2010-03-11 00:00:00-07:00</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>1.033119</td>\n",
-       "      <td>1.033119</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.040835</td>\n",
+       "      <td>1.040835</td>\n",
+       "      <td>4</td>\n",
        "      <td>False</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -93429,22 +93692,22 @@
        "0 2010-02-25 00:00:00-07:00 2010-03-03 00:00:00-07:00           0.0   \n",
        "1 2010-03-04 00:00:00-07:00 2010-03-04 00:00:00-07:00           0.0   \n",
        "2 2010-03-05 00:00:00-07:00 2010-03-05 00:00:00-07:00           0.0   \n",
-       "3 2010-03-06 00:00:00-07:00 2010-03-07 00:00:00-07:00           0.0   \n",
-       "4 2010-03-08 00:00:00-07:00 2010-03-09 00:00:00-07:00           0.0   \n",
+       "3 2010-03-06 00:00:00-07:00 2010-03-06 00:00:00-07:00           0.0   \n",
+       "4 2010-03-07 00:00:00-07:00 2010-03-11 00:00:00-07:00           0.0   \n",
        "\n",
        "   soiling_rate_low  soiling_rate_high  inferred_start_loss  \\\n",
-       "0               0.0                0.0             0.756022   \n",
-       "1               0.0                0.0             0.793434   \n",
-       "2               0.0                0.0             0.819566   \n",
-       "3               0.0                0.0             1.053380   \n",
-       "4               0.0                0.0             1.033119   \n",
+       "0               0.0                0.0             0.768684   \n",
+       "1               0.0                0.0             0.788069   \n",
+       "2               0.0                0.0             0.822509   \n",
+       "3               0.0                0.0             1.050388   \n",
+       "4               0.0                0.0             1.040835   \n",
        "\n",
        "   inferred_end_loss  length  valid  \n",
-       "0           0.756022       6  False  \n",
-       "1           0.793434       0  False  \n",
-       "2           0.819566       0  False  \n",
-       "3           1.053380       1  False  \n",
-       "4           1.033119       1  False  "
+       "0           0.768684       6  False  \n",
+       "1           0.788069       0  False  \n",
+       "2           0.822509       0  False  \n",
+       "3           1.050388       0  False  \n",
+       "4           1.040835       4  False  "
       ]
      },
      "execution_count": 22,
@@ -93461,13 +93724,20 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:14.059622Z",
+     "iopub.status.busy": "2026-02-04T19:32:14.059622Z",
+     "iopub.status.idle": "2026-02-04T19:32:14.189628Z",
+     "shell.execute_reply": "2026-02-04T19:32:14.189123Z"
+    }
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\rdtools\\rdtools\\plotting.py:273: UserWarning:\n",
+      "c:\\users\\mspringe\\onedrive - nrel\\msp\\pvfleets\\repos\\public\\rdtools\\rdtools\\plotting.py:273: UserWarning:\n",
       "\n",
       "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n",
       "\n"
@@ -93475,7 +93745,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 450x300 with 1 Axes>"
       ]
@@ -93500,7 +93770,14 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:14.193634Z",
+     "iopub.status.busy": "2026-02-04T19:32:14.192634Z",
+     "iopub.status.idle": "2026-02-04T19:32:14.431183Z",
+     "shell.execute_reply": "2026-02-04T19:32:14.431183Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -93534,98 +93811,98 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>1</td>\n",
-       "      <td>-0.001184</td>\n",
-       "      <td>-0.002336</td>\n",
-       "      <td>-0.000875</td>\n",
-       "      <td>8</td>\n",
+       "      <td>-0.001131</td>\n",
+       "      <td>-0.002018</td>\n",
+       "      <td>-0.000738</td>\n",
+       "      <td>7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>2</td>\n",
-       "      <td>-0.001488</td>\n",
-       "      <td>-0.002649</td>\n",
-       "      <td>-0.000902</td>\n",
-       "      <td>7</td>\n",
+       "      <td>-0.001852</td>\n",
+       "      <td>-0.002789</td>\n",
+       "      <td>-0.000716</td>\n",
+       "      <td>9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>3</td>\n",
-       "      <td>-0.001307</td>\n",
-       "      <td>-0.002049</td>\n",
-       "      <td>-0.000620</td>\n",
-       "      <td>8</td>\n",
+       "      <td>-0.001713</td>\n",
+       "      <td>-0.002023</td>\n",
+       "      <td>-0.000754</td>\n",
+       "      <td>9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>4</td>\n",
-       "      <td>-0.001114</td>\n",
-       "      <td>-0.001764</td>\n",
-       "      <td>-0.000443</td>\n",
-       "      <td>9</td>\n",
+       "      <td>-0.001259</td>\n",
+       "      <td>-0.002008</td>\n",
+       "      <td>-0.000396</td>\n",
+       "      <td>7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>5</td>\n",
-       "      <td>-0.000683</td>\n",
-       "      <td>-0.001163</td>\n",
-       "      <td>-0.000407</td>\n",
-       "      <td>6</td>\n",
+       "      <td>-0.000947</td>\n",
+       "      <td>-0.001488</td>\n",
+       "      <td>-0.000358</td>\n",
+       "      <td>10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>6</td>\n",
-       "      <td>-0.000806</td>\n",
-       "      <td>-0.001124</td>\n",
-       "      <td>-0.000525</td>\n",
-       "      <td>7</td>\n",
+       "      <td>-0.000572</td>\n",
+       "      <td>-0.001447</td>\n",
+       "      <td>-0.000301</td>\n",
+       "      <td>9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>7</td>\n",
-       "      <td>-0.000804</td>\n",
-       "      <td>-0.001550</td>\n",
-       "      <td>-0.000480</td>\n",
+       "      <td>-0.000605</td>\n",
+       "      <td>-0.001666</td>\n",
+       "      <td>-0.000412</td>\n",
        "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>8</td>\n",
-       "      <td>-0.000859</td>\n",
-       "      <td>-0.001907</td>\n",
-       "      <td>-0.000442</td>\n",
-       "      <td>11</td>\n",
+       "      <td>-0.001161</td>\n",
+       "      <td>-0.001778</td>\n",
+       "      <td>-0.000360</td>\n",
+       "      <td>10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>9</td>\n",
-       "      <td>-0.000730</td>\n",
-       "      <td>-0.001841</td>\n",
-       "      <td>-0.000441</td>\n",
-       "      <td>9</td>\n",
+       "      <td>-0.000268</td>\n",
+       "      <td>-0.001710</td>\n",
+       "      <td>-0.000136</td>\n",
+       "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>10</td>\n",
-       "      <td>-0.000779</td>\n",
-       "      <td>-0.001611</td>\n",
-       "      <td>-0.000480</td>\n",
+       "      <td>-0.000527</td>\n",
+       "      <td>-0.001227</td>\n",
+       "      <td>-0.000162</td>\n",
        "      <td>10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>11</td>\n",
-       "      <td>-0.001067</td>\n",
-       "      <td>-0.002377</td>\n",
-       "      <td>-0.000592</td>\n",
-       "      <td>9</td>\n",
+       "      <td>-0.000704</td>\n",
+       "      <td>-0.001939</td>\n",
+       "      <td>-0.000214</td>\n",
+       "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>12</td>\n",
-       "      <td>-0.001374</td>\n",
-       "      <td>-0.002965</td>\n",
-       "      <td>-0.000804</td>\n",
-       "      <td>8</td>\n",
+       "      <td>-0.001172</td>\n",
+       "      <td>-0.002174</td>\n",
+       "      <td>-0.000700</td>\n",
+       "      <td>7</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -93633,32 +93910,32 @@
       ],
       "text/plain": [
        "    month  soiling_rate_median  soiling_rate_low  soiling_rate_high  \\\n",
-       "0       1            -0.001184         -0.002336          -0.000875   \n",
-       "1       2            -0.001488         -0.002649          -0.000902   \n",
-       "2       3            -0.001307         -0.002049          -0.000620   \n",
-       "3       4            -0.001114         -0.001764          -0.000443   \n",
-       "4       5            -0.000683         -0.001163          -0.000407   \n",
-       "5       6            -0.000806         -0.001124          -0.000525   \n",
-       "6       7            -0.000804         -0.001550          -0.000480   \n",
-       "7       8            -0.000859         -0.001907          -0.000442   \n",
-       "8       9            -0.000730         -0.001841          -0.000441   \n",
-       "9      10            -0.000779         -0.001611          -0.000480   \n",
-       "10     11            -0.001067         -0.002377          -0.000592   \n",
-       "11     12            -0.001374         -0.002965          -0.000804   \n",
+       "0       1            -0.001131         -0.002018          -0.000738   \n",
+       "1       2            -0.001852         -0.002789          -0.000716   \n",
+       "2       3            -0.001713         -0.002023          -0.000754   \n",
+       "3       4            -0.001259         -0.002008          -0.000396   \n",
+       "4       5            -0.000947         -0.001488          -0.000358   \n",
+       "5       6            -0.000572         -0.001447          -0.000301   \n",
+       "6       7            -0.000605         -0.001666          -0.000412   \n",
+       "7       8            -0.001161         -0.001778          -0.000360   \n",
+       "8       9            -0.000268         -0.001710          -0.000136   \n",
+       "9      10            -0.000527         -0.001227          -0.000162   \n",
+       "10     11            -0.000704         -0.001939          -0.000214   \n",
+       "11     12            -0.001172         -0.002174          -0.000700   \n",
        "\n",
        "    interval_count  \n",
-       "0                8  \n",
-       "1                7  \n",
-       "2                8  \n",
-       "3                9  \n",
-       "4                6  \n",
-       "5                7  \n",
+       "0                7  \n",
+       "1                9  \n",
+       "2                9  \n",
+       "3                7  \n",
+       "4               10  \n",
+       "5                9  \n",
        "6                8  \n",
-       "7               11  \n",
-       "8                9  \n",
+       "7               10  \n",
+       "8                8  \n",
        "9               10  \n",
-       "10               9  \n",
-       "11               8  "
+       "10               8  \n",
+       "11               7  "
       ]
      },
      "execution_count": 24,
@@ -93676,7 +93953,14 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:14.434192Z",
+     "iopub.status.busy": "2026-02-04T19:32:14.434192Z",
+     "iopub.status.idle": "2026-02-04T19:32:14.584214Z",
+     "shell.execute_reply": "2026-02-04T19:32:14.584214Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -93709,51 +93993,51 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>2010</td>\n",
-       "      <td>0.962952</td>\n",
-       "      <td>0.954986</td>\n",
-       "      <td>0.969507</td>\n",
+       "      <td>0.959068</td>\n",
+       "      <td>0.953548</td>\n",
+       "      <td>0.963179</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>2011</td>\n",
-       "      <td>0.957442</td>\n",
-       "      <td>0.951042</td>\n",
-       "      <td>0.962425</td>\n",
+       "      <td>0.942129</td>\n",
+       "      <td>0.935976</td>\n",
+       "      <td>0.946725</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>2012</td>\n",
-       "      <td>0.950871</td>\n",
-       "      <td>0.943630</td>\n",
-       "      <td>0.956604</td>\n",
+       "      <td>0.949524</td>\n",
+       "      <td>0.945448</td>\n",
+       "      <td>0.952731</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>2013</td>\n",
-       "      <td>0.948067</td>\n",
-       "      <td>0.938270</td>\n",
-       "      <td>0.956403</td>\n",
+       "      <td>0.973487</td>\n",
+       "      <td>0.968495</td>\n",
+       "      <td>0.977497</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>2014</td>\n",
-       "      <td>0.934236</td>\n",
-       "      <td>0.915437</td>\n",
-       "      <td>0.947448</td>\n",
+       "      <td>0.927273</td>\n",
+       "      <td>0.924125</td>\n",
+       "      <td>0.930050</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>2015</td>\n",
-       "      <td>0.959483</td>\n",
-       "      <td>0.945367</td>\n",
-       "      <td>0.967091</td>\n",
+       "      <td>0.972655</td>\n",
+       "      <td>0.964523</td>\n",
+       "      <td>0.978161</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>2016</td>\n",
-       "      <td>0.966123</td>\n",
-       "      <td>0.961269</td>\n",
-       "      <td>0.970014</td>\n",
+       "      <td>0.970346</td>\n",
+       "      <td>0.967108</td>\n",
+       "      <td>0.973698</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -93761,13 +94045,13 @@
       ],
       "text/plain": [
        "   year  soiling_ratio_median  soiling_ratio_low  soiling_ratio_high\n",
-       "0  2010              0.962952           0.954986            0.969507\n",
-       "1  2011              0.957442           0.951042            0.962425\n",
-       "2  2012              0.950871           0.943630            0.956604\n",
-       "3  2013              0.948067           0.938270            0.956403\n",
-       "4  2014              0.934236           0.915437            0.947448\n",
-       "5  2015              0.959483           0.945367            0.967091\n",
-       "6  2016              0.966123           0.961269            0.970014"
+       "0  2010              0.959068           0.953548            0.963179\n",
+       "1  2011              0.942129           0.935976            0.946725\n",
+       "2  2012              0.949524           0.945448            0.952731\n",
+       "3  2013              0.973487           0.968495            0.977497\n",
+       "4  2014              0.927273           0.924125            0.930050\n",
+       "5  2015              0.972655           0.964523            0.978161\n",
+       "6  2016              0.970346           0.967108            0.973698"
       ]
      },
      "execution_count": 25,
@@ -93807,7 +94091,14 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:14.588233Z",
+     "iopub.status.busy": "2026-02-04T19:32:14.588233Z",
+     "iopub.status.idle": "2026-02-04T19:32:14.593665Z",
+     "shell.execute_reply": "2026-02-04T19:32:14.592648Z"
+    }
+   },
    "outputs": [],
    "source": [
     "from rdtools.soiling import CODSAnalysis\n",
@@ -93825,7 +94116,14 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:32:14.596664Z",
+     "iopub.status.busy": "2026-02-04T19:32:14.596664Z",
+     "iopub.status.idle": "2026-02-04T19:33:20.336974Z",
+     "shell.execute_reply": "2026-02-04T19:33:20.336974Z"
+    }
+   },
    "outputs": [],
    "source": [
     "results_df, degradation, soiling_loss = CODS.run_bootstrap(reps=16, bootstrap_seed=42)"
@@ -93834,7 +94132,14 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:33:20.340994Z",
+     "iopub.status.busy": "2026-02-04T19:33:20.340994Z",
+     "iopub.status.idle": "2026-02-04T19:33:22.719457Z",
+     "shell.execute_reply": "2026-02-04T19:33:22.719457Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -93869,53 +94174,53 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2010-02-25 00:00:00-07:00</th>\n",
-       "      <td>0.632635</td>\n",
-       "      <td>0.024614</td>\n",
+       "      <td>0.627275</td>\n",
+       "      <td>0.026595</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.999650</td>\n",
+       "      <td>1.007648</td>\n",
        "      <td>1.000000</td>\n",
-       "      <td>0.547342</td>\n",
-       "      <td>0.963029</td>\n",
+       "      <td>0.536025</td>\n",
+       "      <td>0.984150</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010-02-26 00:00:00-07:00</th>\n",
-       "      <td>0.657248</td>\n",
-       "      <td>0.024612</td>\n",
+       "      <td>0.653869</td>\n",
+       "      <td>0.026593</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.999475</td>\n",
-       "      <td>0.999993</td>\n",
-       "      <td>0.568532</td>\n",
-       "      <td>0.889424</td>\n",
+       "      <td>1.007448</td>\n",
+       "      <td>0.999986</td>\n",
+       "      <td>0.558632</td>\n",
+       "      <td>0.872095</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010-02-27 00:00:00-07:00</th>\n",
-       "      <td>0.681860</td>\n",
-       "      <td>0.024611</td>\n",
+       "      <td>0.680461</td>\n",
+       "      <td>0.026591</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.999299</td>\n",
-       "      <td>0.999986</td>\n",
-       "      <td>0.589713</td>\n",
-       "      <td>0.934689</td>\n",
+       "      <td>1.007246</td>\n",
+       "      <td>0.999971</td>\n",
+       "      <td>0.581226</td>\n",
+       "      <td>0.926182</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010-02-28 00:00:00-07:00</th>\n",
-       "      <td>0.706470</td>\n",
-       "      <td>0.024609</td>\n",
+       "      <td>0.707050</td>\n",
+       "      <td>0.026589</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.999122</td>\n",
-       "      <td>0.999978</td>\n",
-       "      <td>0.610885</td>\n",
-       "      <td>0.945476</td>\n",
+       "      <td>1.007042</td>\n",
+       "      <td>0.999957</td>\n",
+       "      <td>0.603807</td>\n",
+       "      <td>0.930474</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010-03-01 00:00:00-07:00</th>\n",
-       "      <td>0.731079</td>\n",
-       "      <td>0.024608</td>\n",
+       "      <td>0.733638</td>\n",
+       "      <td>0.026587</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.998944</td>\n",
-       "      <td>0.999971</td>\n",
-       "      <td>0.632047</td>\n",
-       "      <td>0.857710</td>\n",
+       "      <td>1.006836</td>\n",
+       "      <td>0.999943</td>\n",
+       "      <td>0.626375</td>\n",
+       "      <td>0.838916</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -93923,25 +94228,25 @@
       ],
       "text/plain": [
        "                           soiling_ratio  soiling_rates  cleaning_events  \\\n",
-       "2010-02-25 00:00:00-07:00       0.632635       0.024614             True   \n",
-       "2010-02-26 00:00:00-07:00       0.657248       0.024612            False   \n",
-       "2010-02-27 00:00:00-07:00       0.681860       0.024611            False   \n",
-       "2010-02-28 00:00:00-07:00       0.706470       0.024609            False   \n",
-       "2010-03-01 00:00:00-07:00       0.731079       0.024608            False   \n",
+       "2010-02-25 00:00:00-07:00       0.627275       0.026595             True   \n",
+       "2010-02-26 00:00:00-07:00       0.653869       0.026593            False   \n",
+       "2010-02-27 00:00:00-07:00       0.680461       0.026591            False   \n",
+       "2010-02-28 00:00:00-07:00       0.707050       0.026589            False   \n",
+       "2010-03-01 00:00:00-07:00       0.733638       0.026587            False   \n",
        "\n",
        "                           seasonal_component  degradation_trend  total_model  \\\n",
-       "2010-02-25 00:00:00-07:00            0.999650           1.000000     0.547342   \n",
-       "2010-02-26 00:00:00-07:00            0.999475           0.999993     0.568532   \n",
-       "2010-02-27 00:00:00-07:00            0.999299           0.999986     0.589713   \n",
-       "2010-02-28 00:00:00-07:00            0.999122           0.999978     0.610885   \n",
-       "2010-03-01 00:00:00-07:00            0.998944           0.999971     0.632047   \n",
+       "2010-02-25 00:00:00-07:00            1.007648           1.000000     0.536025   \n",
+       "2010-02-26 00:00:00-07:00            1.007448           0.999986     0.558632   \n",
+       "2010-02-27 00:00:00-07:00            1.007246           0.999971     0.581226   \n",
+       "2010-02-28 00:00:00-07:00            1.007042           0.999957     0.603807   \n",
+       "2010-03-01 00:00:00-07:00            1.006836           0.999943     0.626375   \n",
        "\n",
        "                           residuals  \n",
-       "2010-02-25 00:00:00-07:00   0.963029  \n",
-       "2010-02-26 00:00:00-07:00   0.889424  \n",
-       "2010-02-27 00:00:00-07:00   0.934689  \n",
-       "2010-02-28 00:00:00-07:00   0.945476  \n",
-       "2010-03-01 00:00:00-07:00   0.857710  "
+       "2010-02-25 00:00:00-07:00   0.984150  \n",
+       "2010-02-26 00:00:00-07:00   0.872095  \n",
+       "2010-02-27 00:00:00-07:00   0.926182  \n",
+       "2010-02-28 00:00:00-07:00   0.930474  \n",
+       "2010-03-01 00:00:00-07:00   0.838916  "
       ]
      },
      "execution_count": 28,
@@ -93965,14 +94270,21 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:33:22.724543Z",
+     "iopub.status.busy": "2026-02-04T19:33:22.723543Z",
+     "iopub.status.idle": "2026-02-04T19:33:22.729988Z",
+     "shell.execute_reply": "2026-02-04T19:33:22.729468Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Avg. Soiling loss 6.128 (4.569, 6.238) (%)\n",
-      "Degradation rate -0.181 (-0.371, -0.027) (%)\n"
+      "Avg. Soiling loss 5.308 (4.538, 6.241) (%)\n",
+      "Degradation rate -0.157 (-0.377, -0.018) (%)\n"
      ]
     }
    ],
@@ -93991,11 +94303,18 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-04T19:33:22.733003Z",
+     "iopub.status.busy": "2026-02-04T19:33:22.733003Z",
+     "iopub.status.idle": "2026-02-04T19:33:23.599906Z",
+     "shell.execute_reply": "2026-02-04T19:33:23.599906Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x800 with 3 Axes>"
       ]
@@ -94064,7 +94383,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/logos/logo_horizontal_highres_transparentbg.png b/docs/logos/logo_horizontal_highres_transparentbg.png
new file mode 100644
index 000000000..540be5fe4
Binary files /dev/null and b/docs/logos/logo_horizontal_highres_transparentbg.png differ
diff --git a/docs/nbval_sanitization_rules.cfg b/docs/nbval_sanitization_rules.cfg
index 7a8b786a0..1e58909e9 100644
--- a/docs/nbval_sanitization_rules.cfg
+++ b/docs/nbval_sanitization_rules.cfg
@@ -12,10 +12,16 @@
 regex: .*: UserWarning:
 replace: NBVAL-FILEPATH: UserWarning:
 
+# sanitize the specific traceback file/line entry shown in warning tracebacks
+# since stacklevel changes will alter which line is reported
 [regex2]
+regex: ^\s*File ".*", line \d+.*$
+replace:   CODE-LINE
+
+[regex3]
 regex: \d{1,2}/\d{1,2}/\d{2,4}
 replace: DATE-STAMP
 
-[regex3]
+[regex4]
 regex: \d{2}:\d{2}:\d{2}
 replace: TIME-STAMP
diff --git a/docs/notebook_requirements.txt b/docs/notebook_requirements.txt
index b47fa02ec..fc5b1b294 100644
--- a/docs/notebook_requirements.txt
+++ b/docs/notebook_requirements.txt
@@ -26,7 +26,7 @@ lxml==5.3.0
 MarkupSafe==2.1.5
 mistune==3.0.2
 nbclient==0.10.0
-nbconvert==7.16.4
+nbconvert==7.17.0
 nbformat==5.10.4
 nest-asyncio==1.6.0
 notebook==7.2.2
@@ -47,7 +47,7 @@ simplegeneric==0.8.1
 soupsieve==2.6
 terminado==0.18.1
 testpath==0.6.0
-tinycss2==1.3.0
+tinycss2==1.2.1
 tornado==6.5.1
 traitlets==5.14.3
 wcwidth==0.2.13
diff --git a/docs/sphinx/source/api.rst b/docs/sphinx/source/api.rst
index 8abb4a8ae..9ec44c4f0 100644
--- a/docs/sphinx/source/api.rst
+++ b/docs/sphinx/source/api.rst
@@ -133,8 +133,6 @@ Normalization
    normalize_with_expected_power
    normalize_with_pvwatts
    pvwatts_dc_power
-   delta_index
-   check_series_frequency
 
 
 Aggregation
diff --git a/docs/sphinx/source/changelog.rst b/docs/sphinx/source/changelog.rst
index 371f6e006..bbdbffbdd 100644
--- a/docs/sphinx/source/changelog.rst
+++ b/docs/sphinx/source/changelog.rst
@@ -1,5 +1,6 @@
 RdTools Change Log
 ==================
+.. include:: changelog/v3.1.0.rst
 .. include:: changelog/v3.0.1.rst
 .. include:: changelog/v3.0.0.rst
 .. include:: changelog/v2.1.8.rst
diff --git a/docs/sphinx/source/changelog/v3.1.0.rst b/docs/sphinx/source/changelog/v3.1.0.rst
new file mode 100644
index 000000000..d06d34a1f
--- /dev/null
+++ b/docs/sphinx/source/changelog/v3.1.0.rst
@@ -0,0 +1,91 @@
+****************************
+v3.1.0 (February XX, 2026)
+****************************
+
+Enhancements
+------------
+* Modified ``TrendAnalysis._filter()`` to allow ``clip_filter`` to use ``pv_energy``
+  when ``pv_power`` is not available. This enables clipping detection for energy-based
+  analyses with sub-hourly data.
+* Added frequency validation for ``clip_filter`` in ``TrendAnalysis._filter()`` that
+  raises a ``ValueError`` if the time series has a median time step greater than 60
+  minutes, as clipping detection requires higher resolution data.
+
+
+Documentation
+-------------
+* Updated temperature coefficient (``gamma_pdc``) in PVDAQ example notebooks from -0.005 to
+  -0.0034 1/K to reflect modern silicon PV module specifications. Updated notebooks include
+  ``degradation_and_soiling_example.ipynb``, ``TrendAnalysis_example.ipynb``, and
+  ``TrendAnalysis_example_NSRDB.ipynb``.
+* Added ``stacklevel`` parameter to all ``warnings.warn()`` calls so that warning
+  messages point to user code rather than rdtools internals. Affected modules:
+  ``analysis_chains``, ``filtering``, ``soiling``, ``plotting``, ``normalization``,
+  ``availability``, and ``clearsky_temperature``.
+
+
+Requirements
+------------
+* Updated pvlib requirement in setup.py from "pvlib >= 0.11.0, <0.12.0" to "pvlib >= 0.12.0" (removed upper version restriction).
+* Updated pvlib version in requirements.txt from 0.11.0 to 0.14.0
+* Removed pandas upper version restriction in setup.py. Now "pandas >= 1.4.4" to support pandas 3.0.
+* Removed numpy upper version restriction in setup.py. Now "numpy >= 1.22.4" to support numpy 2.x.
+* Updated pandas version in requirements.txt from 2.2.2 to 2.2.3 for python 3.13 compatibility.
+* Updated scipy version in requirements.txt from 1.13.1 to 1.14.1 for python 3.13 compatibility.
+* Updated h5py version in requirements.txt from 3.11.0 to 3.12.0 for python 3.13 compatibility.
+* Updated scikit-learn version in requirements.txt from 1.5.1 to 1.7.2 for python 3.13 and xgboost compatibility.
+* Updated plotly version in requirements.txt from 5.23.0 to 6.1.1 for python 3.13 compatibility.
+* Updated setuptools-scm version in requirements.txt from 8.1.0 to 9.2.2 for python 3.13 compatibility.
+* Updated six version in requirements.txt from 1.16.0 to 1.17.0 for python 3.13 compatibility.
+* Updated statsmodels version in requirements.txt from 0.14.2 to 0.14.6 for python 3.13 compatibility.
+* Updated threadpoolctl version in requirements.txt from 3.5.0 to 3.6.0 for python 3.13 compatibility.
+* Updated tomli version in requirements.txt from 2.0.1 to 2.0.2 for python 3.13 compatibility.
+* Updated typing_extensions version in requirements.txt from 4.12.2 to 4.15.0 for python 3.13 compatibility.
+* Updated urllib3 version in requirements.txt from 2.5.0 to 2.6.3 for python 3.13 compatibility and to fix security issues.
+* Updated xgboost version in requirements.txt from 2.1.1 to 3.1.3 for python 3.13 compatibility.
+* Updated fonttools version in requirements.txt from 4.53.1 to 4.58.4 for python 3.13 compatibility.
+* Updated idna version in requirements.txt from 3.7 to 3.8 for python 3.13 compatibility.
+* Updated joblib version in requirements.txt from 1.4.2 to 1.5.2 for python 3.13 compatibility.
+* Updated kiwisolver version in requirements.txt from 1.4.5 to 1.4.6 for python 3.13 compatibility.
+* Updated matplotlib version in requirements.txt from 3.9.2 to 3.9.4 for python 3.13 compatibility.
+* Updated packaging version in requirements.txt from 24.1 to 26.0 for python 3.13 compatibility.
+* Updated patsy version in requirements.txt from 0.5.6 to 1.0.0 for python 3.13 compatibility.
+* Updated Pillow version in requirements.txt from 10.4.0 to 12.1.1 for python 3.13 compatibility.
+* Updated pyparsing version in requirements.txt from 3.1.2 to 3.2.0 for python 3.13 compatibility.
+* Updated pytz version in requirements.txt from 2024.1 to 2025.2 for python 3.13 compatibility.
+* Added ``python_requires='>=3.10'`` to ``setup.py`` to enforce minimum Python version
+  at install time, matching the supported Python versions in classifiers.
+* Updated ``nbval`` test dependency from ``<=0.9.6`` to ``>=0.10.0`` to support pytest 7+
+  which requires ``pathlib.Path`` instead of the deprecated ``py.path.local``.
+
+Bug Fixes
+---------
+* Fixed pandas 3.0 compatibility in ``normalization.py`` by using ``.total_seconds()``
+  instead of ``.view('int64')`` with hardcoded nanosecond divisors. Pandas 3.0 changed
+  the default datetime resolution from nanoseconds (``datetime64[ns]``) to microseconds
+  (``datetime64[us]``). Affected functions: ``_delta_index``, ``_t_step_nanoseconds``,
+  ``_aggregate``, ``_interpolate_series``.
+* Fixed datetime resolution preservation in ``normalization.interpolate()`` to ensure
+  output maintains the same resolution as input (e.g., ``datetime64[us]``).
+* Fixed numpy 2.x compatibility in ``soiling.py`` by using ``.item()`` and explicit
+  indexing to extract scalar values from numpy arrays, as implicit array-to-scalar
+  conversion is deprecated.
+* Fixed xgboost 3.x compatibility in ``filtering.xgboost_clip_filter()`` by using
+  ``xgb.DMatrix`` with explicit feature names for model prediction.
+* Fixed pandas 4.0 deprecation warnings by changing lowercase ``'d'`` to uppercase
+  ``'D'`` in Timedelta strings and using ``axis=`` keyword argument for DataFrame
+  aggregation methods.
+
+
+Warnings
+--------
+* Removed obsolete ``fspath`` deprecation warning filter from ``setup.cfg`` as it is
+  no longer needed with ``nbval>=0.10.0``.
+
+
+Deprecations
+------------
+* Removed deprecated ``normalization.delta_index`` function (deprecated in v2.0.0).
+  The private ``_delta_index`` helper remains available for internal use.
+* Removed deprecated ``normalization.check_series_frequency`` function (deprecated in v2.0.0).
+  The private ``_check_series_frequency`` helper remains available for internal use.
\ No newline at end of file
diff --git a/docs/system_availability_example.ipynb b/docs/system_availability_example.ipynb
index 7a44ee095..0b1af9f77 100644
--- a/docs/system_availability_example.ipynb
+++ b/docs/system_availability_example.ipynb
@@ -16,7 +16,14 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:25.902548Z",
+     "iopub.status.busy": "2026-02-12T14:52:25.902336Z",
+     "iopub.status.idle": "2026-02-12T14:52:29.135509Z",
+     "shell.execute_reply": "2026-02-12T14:52:29.134914Z"
+    }
+   },
    "outputs": [],
    "source": [
     "import rdtools\n",
@@ -43,7 +50,14 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:29.138553Z",
+     "iopub.status.busy": "2026-02-12T14:52:29.138290Z",
+     "iopub.status.idle": "2026-02-12T14:52:29.144521Z",
+     "shell.execute_reply": "2026-02-12T14:52:29.143976Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def make_dataset():\n",
@@ -135,11 +149,18 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:29.147319Z",
+     "iopub.status.busy": "2026-02-12T14:52:29.147153Z",
+     "iopub.status.idle": "2026-02-12T14:52:29.621187Z",
+     "shell.execute_reply": "2026-02-12T14:52:29.620719Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x600 with 3 Axes>"
       ]
@@ -188,7 +209,14 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:29.662366Z",
+     "iopub.status.busy": "2026-02-12T14:52:29.662093Z",
+     "iopub.status.idle": "2026-02-12T14:52:29.726325Z",
+     "shell.execute_reply": "2026-02-12T14:52:29.725468Z"
+    }
+   },
    "outputs": [],
    "source": [
     "from rdtools.availability import AvailabilityAnalysis\n",
@@ -213,6 +241,12 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:29.729438Z",
+     "iopub.status.busy": "2026-02-12T14:52:29.729267Z",
+     "iopub.status.idle": "2026-02-12T14:52:30.070189Z",
+     "shell.execute_reply": "2026-02-12T14:52:30.069663Z"
+    },
     "tags": [
      "nbsphinx-thumbnail"
     ]
@@ -222,13 +256,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/ls/3vjh_45x2nd120557szqfcm8g4gf61/T/ipykernel_18955/689292658.py:3: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
+      "C:\\Users\\mspringe\\AppData\\Local\\Temp\\1\\ipykernel_58256\\689292658.py:3: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
       "  fig.axes[1].legend(loc='upper left')\n"
      ]
     },
     {
      "data": {
-      "image/png": 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A0A0ELAEAAAAAAAAAAEA3ELAEAAAAAAAAAAAA3UDAEgAAAAAAAAAAAHQDAUsAAAAAAAAAAADQDQQsAQAAAAAAAAAAQDcQsAQAAAAAAAAAAADdQMASAAAAAAAAAAAASC/+P8qwRSlsACKOAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1600x700 with 4 Axes>"
       ]
@@ -256,7 +290,14 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:30.072555Z",
+     "iopub.status.busy": "2026-02-12T14:52:30.072399Z",
+     "iopub.status.idle": "2026-02-12T14:52:30.080712Z",
+     "shell.execute_reply": "2026-02-12T14:52:30.080219Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -392,7 +433,14 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:30.083148Z",
+     "iopub.status.busy": "2026-02-12T14:52:30.082897Z",
+     "iopub.status.idle": "2026-02-12T14:52:30.089296Z",
+     "shell.execute_reply": "2026-02-12T14:52:30.088946Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -474,7 +522,14 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:30.091402Z",
+     "iopub.status.busy": "2026-02-12T14:52:30.091160Z",
+     "iopub.status.idle": "2026-02-12T14:52:30.098356Z",
+     "shell.execute_reply": "2026-02-12T14:52:30.097958Z"
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -566,7 +621,14 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:30.100410Z",
+     "iopub.status.busy": "2026-02-12T14:52:30.100263Z",
+     "iopub.status.idle": "2026-02-12T14:52:30.167860Z",
+     "shell.execute_reply": "2026-02-12T14:52:30.167359Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -604,11 +666,18 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-02-12T14:52:30.170304Z",
+     "iopub.status.busy": "2026-02-12T14:52:30.170154Z",
+     "iopub.status.idle": "2026-02-12T14:52:30.598547Z",
+     "shell.execute_reply": "2026-02-12T14:52:30.597853Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x800 with 4 Axes>"
       ]
@@ -618,7 +687,7 @@
     }
    ],
    "source": [
-    "aa2.plot();"
+    "fig = aa2.plot()"
    ]
   },
   {
@@ -631,7 +700,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "rdtools_313-nb",
    "language": "python",
    "name": "python3"
   },
@@ -645,7 +714,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.7"
+   "version": "3.13.11"
   }
  },
  "nbformat": 4,
diff --git a/rdtools/analysis_chains.py b/rdtools/analysis_chains.py
index 9492badf2..d2c580220 100644
--- a/rdtools/analysis_chains.py
+++ b/rdtools/analysis_chains.py
@@ -475,7 +475,8 @@ def _pvwatts_norm(self, poa_global, temperature_cell):
         if self.gamma_pdc is None:
             warnings.warn(
                 "Temperature coefficient not passed in to TrendAnalysis. "
-                "No temperature correction will be conducted."
+                "No temperature correction will be conducted.",
+                stacklevel=3,
             )
         pvwatts_kws = {
             "poa_global": poa_global,
@@ -571,15 +572,17 @@ def _call_clearsky_filter(filter_string):
             f = filtering.tcell_filter(cell_temp, **self.filter_params["tcell_filter"])
             filter_components["tcell_filter"] = f
         if "clip_filter" in self.filter_params:
-            if self.pv_power is None:
-                raise ValueError(
-                    "PV power (not energy) is required for the clipping filter. "
-                    "Either omit the clipping filter, provide PV power at "
-                    "instantiation, or explicitly assign TrendAnalysis.pv_power."
-                )
-            f = filtering.clip_filter(
-                self.pv_power, **self.filter_params["clip_filter"]
-            )
+            # Check that the time series frequency is 60 minutes or less
+            clip_data = self.pv_power if self.pv_power is not None else self.pv_energy
+            if clip_data is not None and len(clip_data) > 1:
+                median_freq = pd.Series(clip_data.index).diff().median()
+                if median_freq > pd.Timedelta(minutes=60):
+                    raise ValueError(
+                        f"clip_filter requires time series frequency of 60 minutes or less. "
+                        f"Median time step is {median_freq}."
+                    )
+
+            f = filtering.clip_filter(clip_data, **self.filter_params["clip_filter"])
             filter_components["clip_filter"] = f
         if "hour_angle_filter" in self.filter_params:
             if not hasattr(self, "pvlib_location"):
@@ -617,7 +620,8 @@ def _call_clearsky_filter(filter_string):
 
             if ad_hoc_filter.isnull().any():
                 warnings.warn(
-                    "ad_hoc_filter contains NaN values; setting to False (excluding)"
+                    "ad_hoc_filter contains NaN values; setting to False (excluding)",
+                    stacklevel=3,
                 )
                 ad_hoc_filter.loc[ad_hoc_filter.isnull()] = False
 
@@ -625,7 +629,8 @@ def _call_clearsky_filter(filter_string):
                 warnings.warn(
                     "ad_hoc_filter index does not match index of other filters; missing "
                     "values will be set to True (kept). Align the index with the index "
-                    "of the filter_components attribute to prevent this warning"
+                    "of the filter_components attribute to prevent this warning",
+                    stacklevel=3,
                 )
                 ad_hoc_filter = ad_hoc_filter.reindex(filter_components.index)
                 ad_hoc_filter.loc[ad_hoc_filter.isnull()] = True
@@ -707,7 +712,8 @@ def _aggregated_filter(self, aggregated, case):
 
             if ad_hoc_filter_aggregated.isnull().any():
                 warnings.warn(
-                    "aggregated ad_hoc_filter contains NaN values; setting to False (excluding)"
+                    "aggregated ad_hoc_filter contains NaN values; setting to False (excluding)",
+                    stacklevel=3,
                 )
                 ad_hoc_filter_aggregated.loc[ad_hoc_filter_aggregated.isnull()] = False
 
@@ -718,7 +724,8 @@ def _aggregated_filter(self, aggregated, case):
                     "Aggregated ad_hoc_filter index does not match index of other "
                     "filters; missing values will be set to True (kept). "
                     "Align the index with the index of the "
-                    "filter_components_aggregated attribute to prevent this warning"
+                    "filter_components_aggregated attribute to prevent this warning",
+                    stacklevel=3,
                 )
                 ad_hoc_filter_aggregated = ad_hoc_filter_aggregated.reindex(
                     filter_components_aggregated.index
@@ -961,7 +968,8 @@ def _clearsky_preprocess(self):
                 """Clear-sky analysis is performed but `power_expected` was passed in by user.
                    In this case, the power normalization is not tied to the modeled clear-sky
                    irradiance and the clear-sky workflow may provide similar results to
-                   the sensor workflow."""
+                   the sensor workflow.""",
+                stacklevel=2,
             )
         self._filter(cs_normalized, "clearsky")
         cs_aggregated, cs_aggregated_insolation = self._aggregate(
diff --git a/rdtools/availability.py b/rdtools/availability.py
index 06d57780c..e666eedfa 100644
--- a/rdtools/availability.py
+++ b/rdtools/availability.py
@@ -543,7 +543,7 @@ def _combine_losses(self, rollup_period="ME"):
                 'levels. This is unexpected and could indicate a problem with '
                 'the input time series data.'
             )
-            warnings.warn(msg, UserWarning)
+            warnings.warn(msg, UserWarning, stacklevel=3)
 
         self.loss_total = self.loss_system + self.loss_subsystem
 
diff --git a/rdtools/clearsky_temperature.py b/rdtools/clearsky_temperature.py
index ebe617f2a..d87cae035 100644
--- a/rdtools/clearsky_temperature.py
+++ b/rdtools/clearsky_temperature.py
@@ -56,7 +56,8 @@ def get_clearsky_tamb(times, latitude, longitude, window_size=40,
             # workaround from https://github.com/pandas-dev/pandas/issues/55794
             freq_actual = pd.infer_freq(times[:10])
             warnings.warn("Input 'times' has no frequency attribute. "
-                          "Inferring frequency from first 10 timestamps.")
+                          "Inferring frequency from first 10 timestamps.",
+                          stacklevel=2)
     else:
         freq_actual = times.freq
 
@@ -121,7 +122,8 @@ def solar_noon_offset(utc_offset):
             df['solar_noon_offset'].values)
     if df['Clear Sky Temperature (C)'].isna().any():
         warnings.warn("Clear Sky Temperature includes NaNs, "
-                      "possibly invalid Lat/Lon coordinates.", UserWarning)
+                      "possibly invalid Lat/Lon coordinates.", UserWarning,
+                      stacklevel=2)
     return df['Clear Sky Temperature (C)']
 
 
diff --git a/rdtools/degradation.py b/rdtools/degradation.py
index 1698b3688..28318a2b1 100644
--- a/rdtools/degradation.py
+++ b/rdtools/degradation.py
@@ -261,7 +261,7 @@ def degradation_year_on_year(energy_normalized, recenter=True,
     # Auto center
     if recenter:
         start = energy_normalized.index[0]
-        oneyear = start + pd.Timedelta('364d')
+        oneyear = start + pd.Timedelta('364D')
         renorm = utilities.robust_median(energy_normalized[start:oneyear])
     else:
         renorm = 1.0
@@ -280,7 +280,7 @@ def degradation_year_on_year(energy_normalized, recenter=True,
                        tolerance=pd.Timedelta('8D')
                        )
 
-    df['time_diff_years'] = (df.dt - df.dt_right) / pd.Timedelta('365d')
+    df['time_diff_years'] = (df.dt - df.dt_right) / pd.Timedelta('365D')
     df['yoy'] = 100.0 * (df.energy - df.energy_right) / (df.time_diff_years)
     df.index = df.dt
 
diff --git a/rdtools/filtering.py b/rdtools/filtering.py
index 7c3759d40..3b2569b29 100644
--- a/rdtools/filtering.py
+++ b/rdtools/filtering.py
@@ -391,7 +391,8 @@ def _format_clipping_time_series(power_ac, mounting_type):
         warnings.warn(
             "Function expects timestamps in local time. "
             "For best results pass a time-zone-localized "
-            "time series localized to the correct local time zone."
+            "time series localized to the correct local time zone.",
+            stacklevel=3,
         )
     # Check the other input variables to ensure that they are the
     # correct format
@@ -448,7 +449,8 @@ def _check_data_sampling_frequency(power_ac):
             "Variable sampling frequency across time series. "
             "Less than 95% of the time series is sampled at the "
             "same interval. This function was not tested "
-            "on variable frequency data--use at your own risk!"
+            "on variable frequency data--use at your own risk!",
+            stacklevel=3,
         )
     return
 
@@ -846,30 +848,31 @@ def xgboost_clip_filter(power_ac, mounting_type="fixed"):
         power_ac_df["mounting_config"] == "fixed", "mounting_config_bool"
     ] = 0
     # Subset the dataframe to only include model inputs
-    power_ac_df = power_ac_df[
-        [
-            "first_order_derivative_backward",
-            "first_order_derivative_forward",
-            "first_order_derivative_backward_rolling_avg",
-            "first_order_derivative_forward_rolling_avg",
-            "sampling_frequency",
-            "mounting_config_bool",
-            "scaled_value",
-            "rolling_average",
-            "daily_max",
-            "percent_daily_max",
-            "deriv_max",
-            "deriv_backward_rolling_stdev",
-            "deriv_backward_rolling_mean",
-            "deriv_backward_rolling_median",
-            "deriv_backward_rolling_min",
-            "deriv_backward_rolling_max",
-        ]
-    ].dropna()
+    feature_cols = [
+        "first_order_derivative_backward",
+        "first_order_derivative_forward",
+        "first_order_derivative_backward_rolling_avg",
+        "first_order_derivative_forward_rolling_avg",
+        "sampling_frequency",
+        "mounting_config_bool",
+        "scaled_value",
+        "rolling_average",
+        "daily_max",
+        "percent_daily_max",
+        "deriv_max",
+        "deriv_backward_rolling_stdev",
+        "deriv_backward_rolling_mean",
+        "deriv_backward_rolling_median",
+        "deriv_backward_rolling_min",
+        "deriv_backward_rolling_max",
+    ]
+    power_ac_df = power_ac_df[feature_cols].dropna()
     # Run the power_ac_df dataframe through the XGBoost ML model,
-    # and return boolean outputs
+    # and return boolean outputs. Use DMatrix with explicit feature names
+    # for xgboost 3.x compatibility.
+    dmatrix = xgb.DMatrix(power_ac_df, feature_names=feature_cols)
     xgb_predictions = pd.Series(
-        xgboost_clipping_model.predict(power_ac_df).astype(bool)
+        (xgboost_clipping_model.get_booster().predict(dmatrix) > 0.5).astype(bool)
     )
     # Add datetime as an index
     xgb_predictions.index = power_ac_df.index
diff --git a/rdtools/normalization.py b/rdtools/normalization.py
index 23784a04f..194f24ffb 100644
--- a/rdtools/normalization.py
+++ b/rdtools/normalization.py
@@ -4,7 +4,6 @@
 import numpy as np
 from scipy.optimize import minimize
 import warnings
-from rdtools._deprecation import deprecated
 
 
 class ConvergenceError(Exception):
@@ -175,44 +174,6 @@ def normalize_with_pvwatts(energy, pvwatts_kws):
     return energy_normalized, insolation
 
 
-def _delta_index(series):
-    '''
-    Takes a pandas series with a DatetimeIndex as input and
-    returns (time step sizes, average time step size) in hours
-
-    Parameters
-    ----------
-    series : pandas.Series
-        A pandas timeseries
-
-    Returns
-    -------
-    deltas : pandas.Series
-        A timeseries representing the timestep sizes of ``series``
-    mean : float
-        The average timestep
-    '''
-
-    if series.index.freq is None:
-        # If there is no frequency information, explicitly calculate interval
-        # sizes. Length of each interval calculated by using 'int64' to convert
-        # to nanoseconds.
-        hours = pd.Series(series.index.view('int64') / (10.0**9 * 3600.0))
-        hours.index = series.index
-        deltas = hours.diff()
-    else:
-        # If there is frequency information, pandas shift can be used to gain
-        # a meaningful interval for the first element of the timeseries
-        # Length of each interval calculated by using 'int64' to convert to
-        # nanoseconds.
-        deltas = (series.index - series.index.shift(-1)).view('int64') / \
-                 (10.0**9 * 3600.0)
-    return deltas, np.mean(deltas[~np.isnan(deltas)])
-
-
-delta_index = deprecated('2.0.0', removal='3.0.0')(_delta_index)
-
-
 def irradiance_rescale(irrad, irrad_sim, max_iterations=100,
                        method='iterative', convergence_threshold=1e-6):
     '''
@@ -335,7 +296,36 @@ def _check_series_frequency(series, series_description):
     return freq
 
 
-check_series_frequency = deprecated('2.0.0', removal='3.0.0')(_check_series_frequency)
+def _delta_index(series):
+    '''
+    Takes a pandas series with a DatetimeIndex as input and
+    returns (time step sizes, average time step size) in hours.
+
+    Parameters
+    ----------
+    series : pandas.Series
+        A pandas timeseries
+
+    Returns
+    -------
+    deltas : pandas.Series
+        A timeseries representing the timestep sizes of ``series``
+    mean : float
+        The average timestep
+    '''
+    # Use total_seconds() for resolution-agnostic calculation (pandas 3.0+)
+    if series.index.freq is None:
+        # If there is no frequency information, explicitly calculate interval sizes
+        deltas = pd.Series(series.index).diff().dt.total_seconds() / 3600.0
+        deltas.index = series.index
+    else:
+        # If there is frequency information, pandas shift can be used to gain
+        # a meaningful interval for the first element of the timeseries
+        deltas = pd.Series(
+            (series.index - series.index.shift(-1)).total_seconds() / 3600.0,
+            index=series.index
+        )
+    return deltas, deltas.mean()
 
 
 def _t_step_nanoseconds(time_series):
@@ -343,9 +333,9 @@ def _t_step_nanoseconds(time_series):
     return a series of right labeled differences in the index of time_series
     in nanoseconds
     '''
-    t_steps = np.diff(time_series.index.view('int64')).astype('float')
-    t_steps = np.insert(t_steps, 0, np.nan)
-    t_steps = pd.Series(index=time_series.index, data=t_steps)
+    # Use total_seconds() for resolution-agnostic calculation (pandas 3.0+)
+    t_steps = pd.Series(time_series.index).diff().dt.total_seconds() * 1e9
+    t_steps.index = time_series.index
     return t_steps
 
 
@@ -485,17 +475,21 @@ def _aggregate(time_series, target_frequency, max_timedelta, series_type):
     union_index = time_series.index.union(output_dummy.index)
     time_series = time_series.dropna()
 
+    # Return NaN series if no valid data remains after dropna
+    if len(time_series) == 0:
+        return pd.Series(np.nan, index=output_dummy.index)
+
     values = time_series.values
 
     # Identify gaps (including from nans) bigger than max_time_delta
-    timestamps = time_series.index.view('int64')
-    timestamps = pd.Series(timestamps, index=time_series.index)
-    t_diffs = timestamps.diff()
+    # Use total_seconds() for resolution-agnostic calculation (pandas 3.0+)
+    t_diffs = pd.Series(time_series.index).diff().dt.total_seconds() * 1e9
+    t_diffs.index = time_series.index
     # Keep track of the gap size but with refilled NaNs and new
     # timestamps from target freq
     t_diffs = t_diffs.reindex(union_index, method='bfill')
 
-    max_interval_nanoseconds = max_timedelta.total_seconds() * 10.0**9
+    max_interval_nanoseconds = max_timedelta.total_seconds() * 1e9
 
     gap_mask = t_diffs > max_interval_nanoseconds
     if time_series.index[0] != union_index[0]:
@@ -503,8 +497,8 @@ def _aggregate(time_series, target_frequency, max_timedelta, series_type):
         gap_mask[:time_series.index[0]] = True
 
     time_series = time_series.reindex(union_index)
-    t_diffs = np.diff(time_series.index.view('int64'))
-    t_diffs_hours = t_diffs / 10**9 / 3600.0
+    # Use total_seconds() for resolution-agnostic calculation
+    t_diffs_hours = pd.Series(time_series.index).diff().dt.total_seconds().values[1:] / 3600.0
     if series_type == 'instantaneous':
         # interpolate with trapz sum
         time_series = time_series.interpolate(method='time')
@@ -574,39 +568,41 @@ def _interpolate_series(time_series, target_index, max_timedelta=None,
     df = pd.DataFrame(time_series)
     df = df.dropna()
 
-    # convert to integer index and calculate the size of gaps in input
-    timestamps = df.index.view("int64").copy()
+    # convert to numeric index (seconds since epoch) for interpolation
+    # Use total_seconds() for resolution-agnostic calculation (pandas 3.0+)
+    epoch = pd.Timestamp('1970-01-01', tz=df.index.tz)
+    timestamps = (df.index - epoch).total_seconds().values
     df["timestamp"] = timestamps
-    df["gapsize_ns"] = df["timestamp"].diff()
+    df["gapsize_s"] = df["timestamp"].diff()
     df.index = timestamps
 
-    valid_indput_index = df.index.copy()
+    valid_input_index = df.index.copy()
 
     if max_timedelta is None:
-        max_interval_nanoseconds = 2 * df['gapsize_ns'].median()
+        max_interval_seconds = 2 * df['gapsize_s'].median()
     else:
-        max_interval_nanoseconds = max_timedelta.total_seconds() * 10.0**9
+        max_interval_seconds = max_timedelta.total_seconds()
 
-    fraction_excluded = (df['gapsize_ns'] > max_interval_nanoseconds).mean()
+    fraction_excluded = (df['gapsize_s'] > max_interval_seconds).mean()
     if fraction_excluded > warning_threshold:
         warnings.warn("Fraction of excluded data "
                       f"({100*fraction_excluded:0.02f}%) "
                       "exceeded threshold",
-                      UserWarning)
+                      UserWarning, stacklevel=3)
 
-    # put data on index that includes both original and target indicies
-    target_timestamps = pd.Index(target_index.view('int64'))
+    # put data on index that includes both original and target indices
+    target_timestamps = pd.Index((target_index - epoch).total_seconds())
     union_index = df.index.append(target_timestamps)
     union_index = union_index.drop_duplicates(keep='first')
     df = df.reindex(union_index)
     df = df.sort_index()
 
     # calculate the gap size in the original data (timestamps)
-    df['gapsize_ns'] = df['gapsize_ns'].bfill()
-    df.loc[valid_indput_index, 'gapsize_ns'] = 0
+    df['gapsize_s'] = df['gapsize_s'].bfill()
+    df.loc[valid_input_index, 'gapsize_s'] = 0
 
     # perform the interpolation when the max gap size criterion is satisfied
-    df_valid = df[df['gapsize_ns'] <= max_interval_nanoseconds].copy()
+    df_valid = df[df['gapsize_s'] <= max_interval_seconds].copy()
     df_valid['interpolated_data'] = \
         df_valid['data'].interpolate(method='index')
 
@@ -615,8 +611,8 @@ def _interpolate_series(time_series, target_index, max_timedelta=None,
     out = pd.Series(df['interpolated_data'])
     out = out.loc[target_timestamps]
     out.name = original_name
-    out.index = pd.to_datetime(out.index, utc=True).tz_convert(target_index.tz)
-    out = out.reindex(target_index)
+    # Convert seconds back to datetime, matching target_index
+    out.index = target_index
 
     return out
 
@@ -665,6 +661,11 @@ def interpolate(time_series, target, max_timedelta=None, warning_threshold=0.1):
         target_index = pd.date_range(time_series.index.min(),
                                      time_series.index.max(),
                                      freq=target)
+        # Preserve the input series' datetime resolution (e.g., 'us' vs 'ns')
+        if hasattr(time_series.index, 'unit'):
+            input_unit = time_series.index.unit
+            if hasattr(target_index, 'unit') and target_index.unit != input_unit:
+                target_index = target_index.as_unit(input_unit)
 
     if (time_series.index.tz is None) ^ (target_index.tz is None):
         raise ValueError('Either time_series or target is time-zone aware but '
diff --git a/rdtools/plotting.py b/rdtools/plotting.py
index 93a07bac4..d2081ac37 100644
--- a/rdtools/plotting.py
+++ b/rdtools/plotting.py
@@ -173,7 +173,7 @@ def soiling_monte_carlo_plot(soiling_info, normalized_yield, point_alpha=0.5,
     warnings.warn(
         'The soiling module is currently experimental. The API, results, '
         'and default behaviors may change in future releases (including MINOR '
-        'and PATCH releases) as the code matures.'
+        'and PATCH releases) as the code matures.', stacklevel=2
     )
 
     fig, ax = plt.subplots()
@@ -233,7 +233,7 @@ def soiling_interval_plot(soiling_info, normalized_yield, point_alpha=0.5,
     warnings.warn(
         'The soiling module is currently experimental. The API, results, '
         'and default behaviors may change in future releases (including MINOR '
-        'and PATCH releases) as the code matures.'
+        'and PATCH releases) as the code matures.', stacklevel=2
     )
 
     sratio = soiling_info['soiling_ratio_perfect_clean']
@@ -273,7 +273,7 @@ def soiling_rate_histogram(soiling_info, bins=None):
     warnings.warn(
         'The soiling module is currently experimental. The API, results, '
         'and default behaviors may change in future releases (including MINOR '
-        'and PATCH releases) as the code matures.'
+        'and PATCH releases) as the code matures.', stacklevel=2
     )
 
     soiling_summary = soiling_info['soiling_interval_summary']
diff --git a/rdtools/soiling.py b/rdtools/soiling.py
index 92a3bfb82..ef7b2b052 100644
--- a/rdtools/soiling.py
+++ b/rdtools/soiling.py
@@ -27,7 +27,7 @@
 warnings.warn(
     'The soiling module is currently experimental. The API, results, '
     'and default behaviors may change in future releases (including MINOR '
-    'and PATCH releases) as the code matures.'
+    'and PATCH releases) as the code matures.', stacklevel=2
 )
 
 
@@ -123,7 +123,8 @@ def _calc_daily_df(self, day_scale=13, clean_threshold='infer',
             warnings.warn('An even value of day_scale was passed. An odd value is '
                           'recommended, otherwise, consecutive days may be erroneously '
                           'flagged as cleaning events. '
-                          'See https://github.com/NREL/rdtools/issues/189')
+                          'See https://github.com/NREL/rdtools/issues/189',
+                          stacklevel=2)
 
         df = self.pm.to_frame()
         df.columns = ['pi']
@@ -382,7 +383,8 @@ def _calc_monte(self, monte, method='half_norm_clean'):
                               'validity criteria such as increasing "max_relative_slope_error" '
                               'and/or "max_negative_step" and/or decreasing "min_interval_length".'
                               ' Alternatively, consider using method="perfect_clean". For more'
-                              ' info see https://github.com/NREL/rdtools/issues/272'
+                              ' info see https://github.com/NREL/rdtools/issues/272',
+                              stacklevel=2
                               )
         monte_losses = []
         random_profiles = []
@@ -906,7 +908,8 @@ def annual_soiling_ratios(stochastic_soiling_profiles,
             'The indexes of stochastic_soiling_profiles are not entirely '
             'contained within the index of insolation_daily. Every day in '
             'stochastic_soiling_profiles should be represented in '
-            'insolation_daily. This may cause erroneous results.')
+            'insolation_daily. This may cause erroneous results.',
+            stacklevel=2)
 
     insolation_daily = insolation_daily.reindex(all_profiles.index)
 
@@ -1510,8 +1513,8 @@ def iterative_signal_decomposition(
                   '{:.3e}'.format(adf_res[1]))
 
         # Check size of soiling signal vs residuals
-        SR_amp = float(np.diff(df_out.soiling_ratio.quantile([.1, .9])))
-        residuals_amp = float(np.diff(df_out.residuals.quantile([.1, .9])))
+        SR_amp = float(np.diff(df_out.soiling_ratio.quantile([.1, .9]))[0])
+        residuals_amp = float(np.diff(df_out.residuals.quantile([.1, .9]))[0])
         soiling_signal_strength = SR_amp / residuals_amp
         if soiling_signal_strength < soiling_significance:
             if verbose:
@@ -1889,11 +1892,11 @@ def run_bootstrap(self,
         # Save best estimate and bootstrapped estimates of SR and soiling rates
         df_out.soiling_ratio = df_out.soiling_ratio.clip(lower=0, upper=1)
         df_out.loc[df_out.soiling_ratio.diff() == 0, 'soiling_rates'] = 0
-        df_out['bt_soiling_ratio'] = (concat_SR * weights).sum(1)
-        df_out['bt_soiling_rates'] = (concat_r_s * weights).sum(1)
+        df_out['bt_soiling_ratio'] = (concat_SR * weights).sum(axis=1)
+        df_out['bt_soiling_rates'] = (concat_r_s * weights).sum(axis=1)
 
         # Set probability of cleaning events
-        df_out.cleaning_events = (concat_ce * weights).sum(1)
+        df_out.cleaning_events = (concat_ce * weights).sum(axis=1)
 
         # Find degradation rates
         self.degradation = [np.dot(bt_deg, weights),
@@ -1908,7 +1911,7 @@ def run_bootstrap(self,
                              np.quantile(bt_SL, ci_high_edge)]
 
         # Save "confidence intervals" for seasonal component
-        df_out.seasonal_component = (seasonal_samples * weights).sum(1)
+        df_out.seasonal_component = (seasonal_samples * weights).sum(axis=1)
         df_out['seasonal_low'] = seasonal_samples.quantile(ci_low_edge, 1)
         df_out['seasonal_high'] = seasonal_samples.quantile(ci_high_edge, 1)
 
@@ -2216,7 +2219,7 @@ def _set_control_input(self, f, rolling_median_local, index,
             # The median zs of the week after the cleaning event
             z_med = rolling_median_local[HW+3]
             # Set control input this future median
-            u[0] = z_med - np.dot(f.H, np.dot(f.F, f.x))
+            u[0] = z_med - np.dot(f.H, np.dot(f.F, f.x)).item()
             # If the change is bigger than the measurement noise:
             if np.abs(u[0]) > np.sqrt(f.R)/2:
                 index_dummy = [n+3 for n in range(window_size-HW-1)
@@ -2534,7 +2537,7 @@ def _make_seasonal_samples(list_of_SCs, sample_nr=10, min_multiplier=0.5,
                 year=signal.index.year
             ).pivot(index='doy', columns='year', values='values')
         # We will use the median signal through all the years...
-        median_signal = year_matrix.median(1)
+        median_signal = year_matrix.median(axis=1)
         for j in range(sample_nr):
             # Generate random multiplier and phase shift
             multiplier = np.random.uniform(min_multiplier, max_multiplier)
@@ -2578,7 +2581,7 @@ def _force_periodicity(in_signal, signal_index, out_index):
         year_matrix[year] = \
             signal.loc[str(year)].reindex(dates_in_year).values[:365]
     # We will use the median signal through all the years...
-    median_signal = year_matrix.median(1)
+    median_signal = year_matrix.median(axis=1)
     # The output is the median signal broadcasted to the whole time series
     output = pd.Series(
         index=out_index,
diff --git a/rdtools/test/analysis_chains_test.py b/rdtools/test/analysis_chains_test.py
index 78376bbec..85433c78c 100644
--- a/rdtools/test/analysis_chains_test.py
+++ b/rdtools/test/analysis_chains_test.py
@@ -768,6 +768,8 @@ def soiling_parameters(basic_parameters, soiling_normalized_daily, cs_input):
 def soiling_analysis_sensor(soiling_parameters):
     soiling_analysis = TrendAnalysis(**soiling_parameters)
     np.random.seed(1977)
+    # Disable clip_filter for daily data (doesn't apply to aggregated data)
+    del soiling_analysis.filter_params["clip_filter"]
     soiling_analysis.sensor_analysis(analyses=["srr_soiling"], srr_kwargs={"reps": 10})
     return soiling_analysis
 
@@ -778,6 +780,8 @@ def soiling_analysis_clearsky(soiling_parameters, cs_input):
     soiling_analysis.set_clearsky(**cs_input)
     np.random.seed(1977)
     soiling_analysis.filter_params["clearsky_filter"] = {"model": "csi"}
+    # Disable clip_filter for daily data (doesn't apply to aggregated data)
+    del soiling_analysis.filter_params["clip_filter"]
     with pytest.warns(UserWarning, match="20% or more of the daily data"):
         soiling_analysis.clearsky_analysis(
             analyses=["srr_soiling"], srr_kwargs={"reps": 10}
@@ -791,15 +795,15 @@ def test_srr_soiling(soiling_analysis_sensor):
     ci = srr_results["sratio_confidence_interval"]
     renorm_factor = srr_results["calc_info"]["renormalizing_factor"]
     print(f"soiling ci:{ci}")
-    assert 0.965 == pytest.approx(
+    assert 0.967 == pytest.approx(
         sratio, abs=1e-3
     ), "Soiling ratio different from expected value in TrendAnalysis.srr_soiling"
-    assert [0.96, 0.97] == pytest.approx(
+    assert [0.966, 0.968] == pytest.approx(
         ci, abs=1e-2
     ), "Soiling confidence interval different from expected value in TrendAnalysis.srr_soiling"
     assert pytest.approx(
         renorm_factor, abs=1e-3
-    ) == 0.977, "Renormalization factor different from expected value in TrendAnalysis.srr_soiling"
+    ) == 0.982, "Renormalization factor different from expected value in TrendAnalysis.srr_soiling"
 
 
 def test_plot_degradation(sensor_analysis):
@@ -865,6 +869,27 @@ def test_errors(sensor_parameters, clearsky_analysis):
         clearsky_analysis._clearsky_preprocess()
 
 
+def test_clip_filter_frequency_error(basic_parameters):
+    # Test that clip_filter raises an error when data frequency > 60 minutes
+    times = pd.date_range("2019-01-01", "2022-01-01", freq="2h", tz="UTC")
+    pv = pd.Series(1.0, index=times)
+    poa_global = pd.Series(1000.0, index=times)
+    temperature_ambient = pd.Series(25.0, index=times)
+
+    rd_analysis = TrendAnalysis(
+        pv,
+        poa_global=poa_global,
+        temperature_ambient=temperature_ambient,
+        pv_input="energy",
+        **basic_parameters,
+    )
+    rd_analysis.filter_params = {"clip_filter": {}}
+    with pytest.raises(
+        ValueError, match="clip_filter requires time series frequency of 60 minutes"
+    ):
+        rd_analysis.sensor_analysis(analyses=["yoy_degradation"])
+
+
 @pytest.mark.parametrize(
     "method_name",
     [
diff --git a/rdtools/test/degradation_test.py b/rdtools/test/degradation_test.py
index 4e92a1f19..066262672 100644
--- a/rdtools/test/degradation_test.py
+++ b/rdtools/test/degradation_test.py
@@ -34,7 +34,7 @@ def get_corr_energy(cls, rd, input_freq):
             freq = input_freq
 
         x = pd.date_range(start=start, end=end, freq=freq)
-        day_deltas = (x - x[0]) / pd.Timedelta('1d')
+        day_deltas = (x - x[0]) / pd.Timedelta('1D')
         noise = (np.random.rand(len(day_deltas)) - 0.5) / 1e3
 
         y = 1 + daily_rd * day_deltas + noise
diff --git a/rdtools/test/normalization_pvwatts_test.py b/rdtools/test/normalization_pvwatts_test.py
index 893d29a38..4018d98ae 100644
--- a/rdtools/test/normalization_pvwatts_test.py
+++ b/rdtools/test/normalization_pvwatts_test.py
@@ -41,7 +41,7 @@ def setUp(self):
                                      periods=12,
                                      freq='MS')
         power_meas = 19.75  # power in dummy conditions
-        hours = (energy_index - energy_index.shift(-1)).view('int64') / (10.0**9 * 3600.0)
+        hours = (energy_index - energy_index.shift(-1)).total_seconds() / 3600.0
         dummy_energy = hours * power_meas
         self.energy = pd.Series(dummy_energy, index=energy_index)
 
diff --git a/requirements.txt b/requirements.txt
index 5ce3b27fc..f1a4f7f92 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,34 +2,34 @@ cached-property==1.5.2
 certifi==2024.7.4
 chardet==5.2.0
 cycler==0.12.1
-fonttools==4.53.1
-h5py==3.11.0
-idna==3.7
-joblib==1.4.2
-kiwisolver==1.4.5
-matplotlib==3.9.2
+fonttools==4.58.4
+h5py==3.12.0
+idna==3.8
+joblib==1.5.2
+kiwisolver==1.4.6
+matplotlib==3.9.4
 numpy==2.1.1
-packaging==24.1
-pandas==2.2.2
-patsy==0.5.6
-Pillow==10.4.0
-plotly==5.23.0
-pvlib==0.11.0
-pyparsing==3.1.2
+packaging==26.0
+pandas==2.2.3
+patsy==1.0.0
+Pillow==12.1.1
+plotly==6.1.1
+pvlib==0.14.0
+pyparsing==3.2.0
 python-dateutil==2.9.0
-pytz==2024.1
+pytz==2025.2
 arch==7.0.0
 filterpy==1.4.5
 requests==2.32.4
 retrying==1.3.4
-scikit-learn==1.5.1
-scipy==1.13.1
-setuptools-scm==8.1.0
-six==1.16.0
-statsmodels==0.14.2
-threadpoolctl==3.5.0
-tomli==2.0.1
-typing_extensions==4.12.2
-urllib3==2.5.0
-xgboost==2.1.1
+scikit-learn==1.7.2
+scipy==1.14.1
+setuptools-scm==9.2.2
+six==1.17.0
+statsmodels==0.14.6
+threadpoolctl==3.6.0
+tomli==2.0.2
+typing_extensions==4.15.0
+urllib3==2.6.3
+xgboost==3.1.3
 
diff --git a/setup.py b/setup.py
index 441b16c03..a4c97a2f6 100755
--- a/setup.py
+++ b/setup.py
@@ -32,13 +32,11 @@
 ]
 
 TESTS_REQUIRE = [
-    "pytest >= 3.6.3",
+    "pytest >= 3.10.1",
     "pytest-cov",
     "coverage",
     "flake8",
-    # nbval greater than 0.9.6 has a bug with semicolon
-    # https://github.com/computationalmodelling/nbval/issues/194
-    "nbval<=0.9.6",
+    "nbval>=0.10.0",
     "pytest-mock",
 ]
 
@@ -51,8 +49,8 @@
     "h5py >= 3.7.0",
     "plotly>=4.0.0",
     "xgboost >= 1.6.0",
-    "pvlib >= 0.11.0, <0.12.0",
-    "scikit-learn >= 1.1.3, <1.6.0",
+    "pvlib >= 0.12.0",
+    "scikit-learn >= 1.1.3, != 1.6.0",
     "arch >= 5.0",
     "filterpy >= 1.4.2",
 ]
@@ -80,10 +78,10 @@
     "Intended Audience :: Science/Research",
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
     "Topic :: Scientific/Engineering",
 ]
 
@@ -131,4 +129,5 @@
       url=URL,
       project_urls=PROJECT_URLS,
       classifiers=CLASSIFIERS,
+      python_requires='>=3.10',
       **setuptools_kwargs)