diff --git a/.binder/environment.yml b/.binder/environment.yml
index 20bf8fa..876fb69 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -10,4 +10,6 @@ dependencies:
   - scikit-learn
   - tensorflow
   - plotly
+  - pot
+  - networkx
   - gudhi
diff --git a/Tuto-GUDHI-Barycenters-of-persistence-diagrams.ipynb b/Tuto-GUDHI-Barycenters-of-persistence-diagrams.ipynb
index 816bc05..d83166c 100644
--- a/Tuto-GUDHI-Barycenters-of-persistence-diagrams.ipynb
+++ b/Tuto-GUDHI-Barycenters-of-persistence-diagrams.ipynb
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -901,12 +901,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -955,7 +952,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"625\">"
+       "<div id='cf2e7e85-c895-400e-be6f-826ed993f951'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -970,7 +967,7 @@
        "Text(0.5, 1.0, 'Set of 3 persistence diagrams')"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -995,7 +992,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1006,7 +1003,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -1032,7 +1029,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1044,7 +1041,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {
     "scrolled": true
    },
@@ -1778,12 +1775,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -1832,7 +1826,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"640\">"
+       "<div id='673a5e91-cd47-4a16-bc4b-25883fff4830'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1884,7 +1878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -2616,12 +2610,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -2670,7 +2661,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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width=\"1363\">"
+       "<div id='2c464273-aa77-4c43-aaeb-47b5753ac048'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -2714,7 +2705,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,
diff --git a/Tuto-GUDHI-ConfRegions-PersDiag-datapoints.ipynb b/Tuto-GUDHI-ConfRegions-PersDiag-datapoints.ipynb
index 0342d59..b47bb0e 100644
--- a/Tuto-GUDHI-ConfRegions-PersDiag-datapoints.ipynb
+++ b/Tuto-GUDHI-ConfRegions-PersDiag-datapoints.ipynb
@@ -81,20 +81,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "U1 = np.random.uniform(0,2 *  pi,size= 1000)\n",
     "V1 = np.array([[0.35 * cos(u) +0.02*np.random.uniform(-1,1) ,\n",
@@ -146,8 +133,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.05845049152657789\n"
+      "0.053896359713091466\n"
      ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -228,7 +227,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -257,7 +256,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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CpxW1c6fXlfjOrupq7s3L441Nm7hj8mR+/OMfd8lWVDQKDZGu5uuvnbO5Cwu9rsR3GsJhXlyxgt/k53PRZZcx5/nnu3QrKhqFhkhXUVfnHBH14YfOEVLSxL937GBcIECPI47gzy+9xIknnqiRRRQKDZGuIDfXOedi1z73LevydlZXc3duLu9s3codkydz/vnnAygwWqDQEOnMduxwWlFLlnhdie80hMNkrVjB/fn5XDp6NHNuuIE+ffp4XZbvKTREOqPaWqcVNX++WlFRfLF9O+MDAXp/61u88PLLHH/88RpZxEihIdLZBIPOORclJV5X4js7qqqYnJvLB9u3c9c99zBy5EhAraj2UGiIdBbbtjmtqGXLvK7Ed+rDYZ5ftowHCwr4+ZVXMuf66znooIO8LispKTREkl1NjXP3vAULnLvpSROfbdvG+Oxs+g4ezIuvvKJW1Dek0BBJZoGAc1RUKOR1Jb6zrbKSicEgi3buZOK99zJixAhArahvSqEhkoy2bnVaUcuXe12J79SHwzy7dCkPLV7MFWPGMPfaa+ndu7fXZXUaCg2RZFJdDW+/DQsXQjjsdTW+88nWrYzLzubQ44/npddeY/DgwRpZxJlCQyRZ/PvfMGsWlJZ6XYnvbNm9m7uCQT4pLmbSffdxzjnnAGpFdQSFRgIs2RTinbwtbC2pYmC/3lx46lEMOTrV67IkWWze7LSiVq70uhLfqQuHeWbJEh4pLOQXv/oVc665Rq2oDqbQ6GBLNoXIWrSaPr16cHjfFEora8latJrMEScoOKR11dXw5pvw0UdqRUXx0ZYtjM/OZuC3v83L06czaNAgjSwSQKHRwd7J20KfXj04uNcBAHv+fSdvi0JDorMWvvoKZs+GsjKvq/GdTRUV3BkM8kVpKZPvv5+zzz4bUCsqURQaHWxrSRWH901pMq1PSg+2llR5VJH42qZN8NprsHq115X4Tm1DA08tXcrUwkLGXHsts6++ml69enldVpej0OhgA/v1prSyds8IA6Cipp6B/dR3lQiVlU4r6uOP1YqKYsGmTUzIyeGY73xHrSiPKTQ62IWnHkXWIuevxj4pPaioqaeiup5fnDHY28LEH6yFL76AOXOgvNzranxnY0UFtweDBMrLmfy733HmmWcCakV5SaHRwYYcnUrmiBOaHD31izMGa3+GwMaN8OqrUFTkdSW+U9PQwJOFhTyxdCm/uv56Jo8ZQ0pKStsLSodTaCTAkKNTFRKyV2UlzJvntKL0F/M+3t+4kZsDAY4/5RT+MXMmRx99tEYWPqLQEEkUa+Hzz51WVEWF19X4zrrycm7LyaGgqorJDz3EGWecgbVWgeEzCQsNY8woIASkW2unRnl9pPvwPGvtpJaWaWs9Ir60fr3Tilq3zutKfKe6vp7HCgt5evlyrs3M5DdXXUXPnj0VFj6VkNAwxqQDWGsXGGPSjDHp1tpgs9fPs9ZOMsZMapy/+TLRpkWuR8R3du+GuXPhs8/UiorinQ0buCUQ4KThw3lt1iyOOuoohYXPJWqkcQUw331cBIwE9nzYux/8jc/TrLVBY8yUKMsMaG09Ir5hLXz6KbzxhhMc0kRRWRm35uSwrLaWe6ZM4fvf/75aUUkiUaGRChRHPB8QbSZjzERgbCvLxLQeEU+tXeucoLd+vdeV+E5VfT1TFi/m2RUruOHGG/ndlVdywAEHKCySiK92hFtrpxpjZhpjAvu7DmNMJpAJMGjQoLjVJtKm8nKnFfX552pFNWOt5a3167k1J4eh3/8+rz/8MAMHDlRYJKFEhUYI6O8+TgV2Rb4Ysc8jiNN2ymxlmRbX464jC8gCyMjI0E+kdDxrncNn581zDqeVJlaXlnJLTg6r6+v5zWOPcdppp6kVlcQSFRrTgQz3cRqwAMAYk2qtDdF030QqkO3Os88yLUwT8UZRkXNU1MaNXlfiO5X19TxSUMDzK1eSOW4cD11+OT169FBYJLmEhIa7YzvDPaw2FHHE00JgOM7I4HL3cFqstbMAoi3TwnpEEqu83Dnf4osv1IpqxlrLG+vWcVtODsPOPJMZU6Zw+OGHe12WxInpzKmfkZFhA4H93j0isq9weG8rqkpXKm5uZSjEzTk5bAAm/eY3ZGRkaGSRhIYOHZpjrc2I9pqvdoSL+Nrq1c5RUZs2eV2J7+yuq+OhggKyVq3ixgkTeHTUKLWiOimFhkhbysqcGyJ9+aXXlfiOtZbZa9dye04Op/3gB8x87DEOO+wwr8uSDqTQEGlJOOzcavXNN51br0oTy0MhJgQCbOnenYeefpr09HSNLLoAhYZINCtXOq2oLVu8rsR3Kurq+N+CAv66ejU33XILl156qVpRXcg3Dg1jzGBr7bo41CLivVDIaUX9+99eV+I71lpmFBVxZzDIGSNGMOuJJxgwQBdl6GraHRrGmL7NJk0C/ic+5Yh4pKEBFi6Et9+Gmhqvq/GdJcXFTAgE2NmrF1OefZZTTjlFI4suKubQMMb8GpgGWJyztQ3OiXgWhYYks+XL4fXXYetWryvxnbLaWn6Xn8/fi4qYcNttXPKzn9G9e3cFRhfWnpHG8dbabs0nGmMejWM9IolTUgKzZoHO5dmHtZZXV69mYm4u//2jHzH7qafo379/2wtKp9ee0JjfwvRH4lGISMLU1zutqHfeUSsqisXFxYzPzqb0oIN4/Lnn+O53v6uRhezRntCwLez0/jXwePxKEulAy5Y5R0Vt3+51Jb5TWlvL/Xl5vLpuHTfffjsXX3IJ3bp1U2BIEy2GhrsPY1TkJGC4MaYY50q04NzPYhgKDfG74mKYOROCulxZc9ZaXl69msm5uYz48Y+Z/cwz9OvXz+uyxKdaG2kcj3MV2dZ+ywwwMa4VicRTfT3Mnw/vvgu1tV5X4zv5u3YxLjubyr59eWraNIYMGaKRhbSqtdCYbq3NbWsFxph97mkh4gtLljhHRe3Y4XUlvhOqqeE3eXnM2LCBW+68k4suukitKIlJi6HRVmAYY0611ubFEiwiCbVrF8yYAXl5XlfiO2Fr+dvKldyTl8ePLrqIOX/6E4cccojXZUkSac95GjdYa1+ImFRqjDkXOK7ZdBFv1NfDBx/Ae+9BXZ3X1fhOcOdOxmVnU9+/P3984QVOPvlkjSyk3dpz9FRq5BNr7VpgrTHmhviWJLIfFi+G6dPh66+9rsR3iquruS8vjzmbNnHrXXdx4YUXYoxRYMh+aTU03COohgP9gHRjzPeazZIGBACNNMQbO3c6YVFQ4HUlvhO2lr+uWMF9+fn85JJLmPP88/Tt2/wqQCLt02poWGv/AvzFGPNnIBeY0WyWIu3TEE/U1cH77zvtKLWi9hH4+mvGZWfDYYfxpxdf5KSTTtLIQuIi1vbUJGCktXZ2RxYjEpP8fGd0sUsH7jW3q7qae3JzeXPLFm6bOJGf/OQnakVJXMUUGtbaUmCfwDDG/BwosdYuindhIvvYscMJi8JCryvxnYZwmL+sWMH9+fn89Oc/Z86vf83BBx/sdVnSCe3PpdEHRzzNwRmFKDSk49TWOkdEffihc4SUNPHVjh2My86m58CB/PmllzjxxBM1spAO055DbocBC3EuhQ7O2eCHAGM7oC4RR26uc85FcbHXlfjO11VV3J2by7vbtnHH5Mmcf/75AAoM6VDtGWmMBYZba9caY37euH/DPVdDJL62b3fO5l661OtKfKchHObPy5fzu4ICLr38cubecAMHHXSQ12VJF9GuS6O752aAcwhuI/1ZI/FTU+NcJ2rBArWiovh82zbGBQIcdMwxvPDyyxx//PEaWUhCtWufhjHmMmvtHNyT+twzwdPRPg2Jh5wc50q0JSVeV+I72ysrmZSby/wdO7jrnnsYOXIkoFaUJF57QiMIzDTGLLDWLjTGfGiMmcK+526ItM/WrU4ravlyryvxnfpwmOeWLeN/CwoYddVVzL3+eg488ECvy5IuLObQcFtTGRHPf2SMGaaT+2S/1dTA2287d9FraPC6Gt/5dOtWxgcCpA4ezIuvvKJWlPhCe9tTfYGRQMg9N0M/wbJ/srOd+3OHQl5X4jtbKyuZGAzy0c6dTLz3XkaMGAGoFSX+0J5Dbs8FpuG0qf6Nsx9jbcR+DpG2bdnitKJWrPC6Et+pC4d5dulSHi4s5PJf/pK5115L7969vS5LpIn2jDTSrbUnwN7DbK21pcYY0yGVSedSXQ1vvQWLFkE47HU1vvPxli2MCwQ47IQTeOnVVxk8eLBGFuJL7QmNNS1M10+2tO6rr2D2bCgt9boS39myezd3BoN8VlLCxHvv5ZxzzgHUihL/ak9onGaMybHWrscNCveSIqcBbbanjDGjgBDOiGVqlNcz3YfHW2sntbRMW+sRH9m8GV57DVat8roS36kLh3l6yRIeLSzkql/9itnXXKNWlCSF9oTGI0COMcYCoYiuVJtnhBtj0gGstQuMMWnGmHRrbTDi9ZHAAmttkTFmpvu8uPkyjfO3tB7xiaoqpxX10UdqRUWxaPNmxgcCHHXSSbw8fTqDBg3SyEKSRnsOuS0FTnD/0j8OCFprF8a4+BXAfPdxEc4RWJEf9mnuV5b7ehpwXpRlBrSxHvGStfDllzBnDpSVeV2N72yqqOCOYJCvysqYdP/9nH322YBaUZJc2n2VW2vtrP14n1TckYNrQLN1ZkU8TQem49wxsPkyra5HPLRxo9OKWtPSrq+uq7ahgT8sWcJjS5Zw9XXXMWvMGHr16uV1WSL7pc3QcPdbTMH5ME/D2Z+wAHjYWpsfz2LcFtR8a21wfw/KcveNZAIMGjQojtVJVJWVMG8efPKJWlFRfLhpExMCAQb/53/yyowZHHPMMRpZSFKL5R7h04BZOK2jEM5f+8cDHxljHrLWPhHD+4SA/u7jVKClW66NjNi53dIyra7HHbVkAWRkZOi3s6NYC1984bSiysu9rsZ3NlRUcFtODsGKCiY/+CBnnXUW1loFhiS9FkPDPRdjtLW2Wwuz3GiMmWGMGRHDnfums/cSJGk4IxWMManW2pD7ODPiCKmRLS3TwjRJpA0bnFZUUZHXlfhOTUMDjy9ezB+WLeOaG27gnl/+kpSUFIWFdBotBQLAKGvtj1pb2Fp7OTC6rTdpPMLJDYNQxBFPCyOmTzHGrDHGlLS0TCvrkUTYvRv+8Q94+GEFRhTvbdjAf775Jv865BBenTWLa6+7jpSUFK/LEomr1tpTsZ6JFdN8zXZ2N04b7v67gKb36GhtmX2mSQezFj77DObOdYJDmlhXXs6tOTkUVlcz6aGHOOOMMzSykE6rtdBoab/D/s4nyWjdOqcVtW6d15X4TnV9PVMLC3lm+XKuzczkt1ddRc+ePRUY0qm1Fhqx/uTrN6Qz2r3bGVl89pkz0pAm3l6/nltycjg5I4PXZs1i4MCBXpckkhCthcYV7mGvrV27OhXnxL3H41mUeMha+PRTeOMNtaKiKCor45acHFbU1XHPo49y+umna2QhXUproTEcZz9DW6FxXFwrEu8UFTmtqA0bvK7Ed6rq63l08WL+tGIF1994Iw9eeSUHHHCAAkO6nNZCY6q1dnJbKzDGPBrHesQL5eVOK+rzz9WKasZay5vr13NrTg7fPf10Xn/4YY488kivyxLxTGuhMS3GdcQ6n/hNOOycyT1vnnNmtzSxurSUm3NyWNPQwG8fe4zTTjtNIwvp8loMDfee4G2KdT7xmTVrnFbUxo1eV+I7lfX1PFxQwJ9XriTzppt4+Ior6NGjhwJDhP24YKG035JNId7J28LWkioG9uvNhacexZCjU70ppqzMufTHl1+qFdWMtZa569ZxW04O6WeeyYwpUzj88MO9LkvEVxQaHWzJphBZi1bTp1cPDu+bQmllLVmLVpM54oTEBkc4DP/8J7z5pnO/iy7irV6D+L+Dvs327gcSxgBhjmyo5rrdy/lp9d4d/itCIW4OBNhgDA8++SQZGRkaWYhEodDoYO/kbaFPrx4c3OsAgD3/vpO3JXGhsWqV04ravDkx7+cTb/UaxFN9v0uV6U54zxVzurO1e2+eOngoAD8sX8Pv8/N5YfVqbhw/nimjR6sVJdIKhUYH21pSxeF9m15/qE9KD7aWJOCv/dJS597cX33V8e/lQ68e+B/UYVf6k18AABIXSURBVCICw2UMtWHDoxt2Mu6TeXz/Bz9g1hNPcOihh3pTqEgSUWh0sIH9elNaWbtnhAFQUVPPwH4deD/ocBgWLXJuuVpd3XHv43Ml3VOoN/tek7Pq640s/+B5etSW8dTTTzNs2DCNLERipNCIk5rcPKpmzqR+w0Z6DDqG3qNHkzLsVC489SiyFq0GnBFGRU09FdX1/OKMwR1TyMqVTitqy5aOWX8S6ddQQ2m3vWHdUFPJ5k9fZVfBAq665gZuuu6XHJiiE/RE2qO1S6NLjGpy8yh/7HEaikvoduSRNBSXUP7Y49Tk5jHk6FQyR5zAIQf2ZEdZDYcc2LNjdoKHQvDCC/DEEwoM1y8qV9EdsDbMzsJ/UvB8JgMPqOSteXO5dew1HJhyQJvrEJGmNNKIg6qZMzF9+9Ktb18ATN++hN3pKcNOZcjRqR2307uhARYuhLffhpqajnmPJPXT6g1kl5TxzCfv0aOhiqeefJzTMtJJ6aG/lUT2l0IjDuo3bKRbs0tLmD59qN/QwSfOLV/utKK2bevY90lCZbW1PJCfzytr1zJu/M1ceuml9OqpH3eRb0q/RXHQY9AxNBSXYNyRBoCtqKDHoGM65g1LSmDmTMjJ6Zj1JzFrLf9YvZpJubn84Ec/YtZTT9G/f/+2FxSRmCg04qD36NGUP/Y4YZwRhq2owJaV0XtsZnzfqL4eFiyAd99VKyqKgl27GB8IUNanD088/zxDhw7VTm6ROFNoxEHKsFPhrjubHj01NtOZHi9Ll8Lrr8P27fFbZycRqqnh/vx8Xlu3jptvv52LL7mEbt26KTBEOoBCI05Shp0a35BoVFwMM2ZAbm78153kwtby8qpVTM7N5dwLLmDOH/9IaqpH1/QS6SIUGn5VXw8ffgjvvQe1tV5X4zt5O3cyLhCg+pBDeDoriyFDhmhkIZIACg0/KiyE6dNhxw6vK/GdkpoafpOXx8wNG7j5jju4+OKLMcYoMEQSRKHhJ7t2OWGRn+91Jb4TtpaXVq7knrw8zv/pT5n73HP0jThaTUQSQ6HhB3V18MEH8P77zmNpIufrrxkXCNDQvz/PvvACJ598skYWIh5RaHitoMAZXezc6XUlvlNcXc29eXnM3bSJ2+66iwsuvFCtKBGPKTS8snOnExYFBV5X4jtha3lxxQruy8vjgp/9jDnPP69WlIhPKDQSra7OaUN98IFaUVH8e8cOxgcCmMMP57m//pWTTjpJIwsRH1FoJFJennPOxa5dXlfiOzurq7k7N5e3t2zh9kmT+MlPfgKgwBDxGYVGIuzY4ZzNvWSJ15X4TkM4zF9WrOC3+flc/POfM+fXv+bggw/2uiwRaYFCoyPV1jrXiZo/3zlZT5r4cvt2xgUCpAwcyLSXXuLEE0/UyELE5xQaHSUYdK5EW1zsdSW+s6Oqism5uby/fTt3TJrE+eefD6gVJZIMEhYaxphRQAhIt9ZObWGedGttsLVlYlmPp7Zvd+5xsWyZ15X4Tn04zJ+XL+fBggJ+dvnlzL3hBg466CCvyxKRdkhIaBhj0gGstQuMMWnNw8GdZyQwBRje0jKN87a2Hs/U1MA77zh30VMrah//2raNcdnZHDxoEC+8/DLHH3+8RhYiSShRI40rgPnu4yJgJNDkw94NguI2lhnQ1no8EQjArFnOzZGkie2VlUzMzWXB119z5+TJnHfeeYBaUSLJKlGhkQpEBsKA/Vxmf9bTcbZudY6KWr7c0zL8qD4c5k9Ll/L7wkJGXXUVc6+7jgMPPNDrskTkG+p0O8KNMZlAJsCgQYM65k2qq/e2ohoaOuY9ktgnW7cyPhCg33HH8ddXXiEtLU0jC5FOIlGhEQIab9ScCsRydltLy7S6HmttFpAFkJGREf9PquxspxUVCsV91clua2UldwWDfLxrF3fdcw8jRowA1IoS6UwSFRrTgQz3cRqwAMAYk2qtbenTN+oyLUzreFu2OEdFrVyZsLdMFnXhMH9cupSHFy/mijFjmHPttfTu3dvrskSkAyQkNKy1QWNMhnuEVCjiiKeF7D1aahSQYYwZZa2d1dIyLayn41RXw1tvwaJFEA53+Nslm39u2cK47GwOP/FE/vbaaxx77LFelyQiHShh+zTctlHzacMjHs8CZsWwzD7TOsyXX8Ls2VBWlrC3TBabd+/mzmCQf5WUMPG++zjnnHO8LklEEqDT7QiPi02bnFbU6tVeV+I7tQ0NPL10KVMKC7nqV79izv/7f/Tq1cvrskQkQRQakaqqYN48+PhjtaKiWLh5M+MDAb510kn8/fXXO+7oNBHxLYUGgLXwxRcwZw6Ul3tdje9srKjgjmCQ7PJyJt5/P2effbbXJYmIRxQaGzc6rag1a7yuxHdqGhp4srCQJ5YuZcx11zHr6qtJSUnxuiwR8VDXDY3Kyr2tKJ1HsI8PNm7k5pwcjhs6lFdmzODoo4/2uiQR8YGuFxrWwuefw9y5akVFsb68nNtycsirrGTSgw9y1lln6eQ8Edmja4XG+vVOK2rtWq8r8Z3q+noeX7KEp5Yt45rrr+e+MWPo2bOnAkNEmugaobF7N7zxBnz6qVpRUby7YQM3BwKcmJ7OqzNnctRRR3ldkoj4VOcPjU8/dVpRu3d7XYnvrC0r49acHJbU1DDp4Yc544wzNLIQkVZ17tDYvh1eecXrKnynqr6eqYsX88cVK7j217/mgV/+kgMOOECBISJt6tyhUVvrdQW+89b69dyak8N3MjJ4ffZsjjzySK9LEpEk0rlDQ/ZYU1bGLYEAK+vruefRRzn99NM1shCRdlNodHKV9fU8ungxz61YwfU33sjvr7qKHj16KDBEZL8oNDopay3z1q/ntpwcvnv66Ux/5BGOOOIIr8sSkSSn0OiEVpWWcnMgwFpr+e1jj3HaaadpZCEicaHQ6ER219Xx8OLFTFu5ksybbuKRK65QK0pE4kqh0QlYa5mzdi23B4MMP+ssZk6dymGHHeZ1WSLSCSk0ktzyUIibAwE2devGg08+SUZGhkYWItJhFBpJqqKujv8tKODFVav4nwkTmDpqlFpRItLhFBpJxlrLzKIi7ggGOf2cc5j9xBMMGDDA67JEpItQaCSRpSUlTAgE2N6zJ4888wzDhg3TyEJEEkqhkQTKa2v5XX4+fysq4qZbbuGyyy6je/fuCgwRSTiFho9Za3ltzRom5uZy5rnnMusPf1ArSkQ8pdDwqcLiYsYHAhT37s3UZ5/llFNO0chCRDyn0PCZ0tpaHsjL4x/r1jHu1lu59NJL6datmwJDRHxBoeET1lpeWb2aSbm5nPOjHzH7mWfo16+f12WJiDSh0PCB/F27GB8IUNGnD08+/zxDhw7VyEJEfEmh0YGW9OjHs32+w/ID+tFgunFoQxXX7l7BT6s3ABCqqeG3+flMX7+e8bfdxiWXXKJWlIj4mkIjTirWb2D32nU01NTQPSWFt4acywv/eU6Tebb06MOTfU8hbMOULF7E3bm5nHvBBcx59lkOOeQQbwoXEWkHhUYcVKzfQOniwj3P6+rq+PFX81h1QCoff/usJvPu3LaO697/B4P7p/B0VhZDhgzRyEJEkoZCIw4iAyPS+M/+tic06qvK2fjPv1O64l/c+D/juX7MaIwxCgwRSSoKjQ5kAGvDfJ03n83//Bunnz2CBx5/kwH9D8EY43V5IiLtlrDQMMaMAkJAurV2aiyvxzrNr/Jra1ny19s5pHcPXpj2PEOGnEzP7t28LktEZL8lJDSMMekA1toFxpg0Y0y6tTbY2uuNr7U1LXI9flESbmBqWRkf1Ncx9s6buOLnl3BgTw3qRCT5JerP3itwRgcARcDIGF6PdZpvNFjLK7srGPH1DkgfxhsffMA1V16mwBCRTiNRn2apQHHE8+ZX3Yv2eqzTmjDGZAKZAIMOPnj/K26nYG0N95WW0rN/P/787B/59ne+Az17Juz9RUQSodP9CWytzQKyADKOOKLDD036uqqKO0PFLKqv57abJ3Dh5ZdjDjywo99WRMQTiQqNENDffZwK7Irx9VinJVxDOMy05ct5oKCAi6+8kjeuvpqD+/eHbtrRLSKdV6JCYzqQ4T5OAxYAGGNSrbWhll5vx7SE+mL7dsZlZ9PrW98i629/44QTTvCiDBGRhEtIaFhrg8aYDGPMSCAUccTTQmB4S6/HOi1RdlRVMSkY5IMdO7hj0iTOP//8RL69iIjnErZPw93X0Hza8DZej2laR6sPh3l+2TIeXLyYSy+/nLk33MBBBx2U6DJERDzX6XaEx9tn27YxLjubvscey4svv0xaWprXJYmIeEah0YJtlZVMDAZZtHMnd0yezHnnned1SSIinlNoNFMfDvPs0qU8VFjIz6+8krk33EDv3r29LktExBcUGhE+3rKF8YEA/Y8/nr++8grHHXec1yWJiPiKQgPYsns3dwWDfFJczJ133825557rdUkiIr7UpUOjLhzmmSVLeKSwkCvGjGHOtdeqFSUi0oouGxqLNm9mfCDAkSeeyN9ee41jjz3W65JERHyvy4XGpooK7gwG+aK0lLvuu49zzjnH65JERJJGlwmN2oYGnlq6lKmFhfzimmuYfc019OrVy+uyRESSSpcIjfmbNjEhEOCYIUN4efp0jjnmGK9LEhFJSp06NGobGhj18cfkVFQw8YEH+O///m+s7fCrpYuIdFqdOjSWlpQwYswY7r76alJSUhQYIiLfkOnMH6TGmK+B9Ql+20OBnQl+T7/StmhK22MvbYu9/LgtjrXWHhbthU4dGl4wxgSstRltz9n5aVs0pe2xl7bFXsm2LXSbORERiZlCQ0REYqbQiL+E3yTKx7QtmtL22EvbYq+k2hbapyEiIjHTSEPiwhgzyhgz0hgzsZV50hNZk4jfxPJ74s7X6uteUmh8A239AMT6A5LsGsPAWrsACEULB2PMSOAvia7NCzH8XGS6X1MSXZsXYtgeI92vTr09Yvk9cecbCXwvkbW1h0JjP7X1AxDrD0gncQUQch8XASObz+Buh+JEFuWFGH4uRgILrLVZQJr7vNOK8ffkPPf19K7+e5IMFBr7r60fgE7xAxKjVJoGwgCvCvGBtv7f0yKmFbnPO7NWt4e1NmitneQ+TbPWBhNZXIK1+XtijEl3A9S3OvVlRDpYWz8A+iDtmlr9f3dHGI3SgemJKMpDMf0euK2rsQmpyN/6e11AWzTSkHgIsfeHPRXY5WEtScFtw8zv5H9Zx8xaOxUYa4xJ9bqWDtTq70kyjDJAofFNtPVB2ZU+SKezt82SBiwA6OQfAC2J9f99pPtB2dm1+UEZsR+jCMhMYG2J1tbvSZp70MAo97Ev9+8oNPZfWz8AUV/vjBr/WnZ36oYi/npe2DiP+4uQ4f7bmbUZoMaYzMbA6Ow7wml7e4ykaagUJbS6BGrr98RaO8taOwtne/j2Dy6d3PcNGGMycXdmNvaqjTE51trhLb0unV9rPxfuB8ZMnD5/f2B0MrQkvok2tkcqcDnO9jjPWqv9Gj6n0BARkZipPSUiIjFTaIiISMwUGiIiEjOFhoiIxExnhIu0gzEmDefM5YlAkKZndH8PmBZ5NJQxZhrA/hwV5B6nfwWwRkffiV/o6CmR/WCMycEJiKyIaWnAGmB4xDH5jRfsa/PMb/f8jaxm0ybiHIp6XjzrF9lfak+JxIm1tgjn5LW7I6YF23GpkOFRpukyI+IrCg2R+ErDPavZGJPa7DIZUbnzTSMJLlYnon0aInHinvkM8Ij7b3+cUUcqcJ57NvgUIADMx9lfMT1i3nS3HRWK0qZqvNzIeWgfh3hIoSGy/xovC5KKsxM8DWf/QwicdpU7gpjkPl8Q8XwS7ojEWhs0xuA+jnYRwwygqLH9ZYyxgEJDPKHQENl/ORFHSs1yr6O00BjziHvhuWiKcQIgROz7K4rdwNjDGJPaGE4iiaR9GiJx4n6IT8O5IGFr2vth3/zKrwoL8YxCQyS+iuGb3UvEGOPbeymIKDRE4msssGA/WkeR9wtvfq/s5kdV+fZeC9L5aZ+GSDtEnBGeDoyOGFEMwPnQD1prJ7nzpuPs8M5wj6wKuMtmuEdJZUXsNA8aYwIRR2BFLt94VFUWe88BmWKMmdJ8X4dIR9MZ4SIiEjO1p0REJGYKDRERiZlCQ0REYqbQEBGRmCk0REQkZgoNERGJmUJDRERiptAQEZGYKTRERCRm/x+2K7B0ZDdW7wAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -387,7 +386,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -427,7 +426,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.8.3"
   },
   "toc": {
    "base_numbering": 1,
diff --git a/Tuto-GUDHI-DTM-filtrations.ipynb b/Tuto-GUDHI-DTM-filtrations.ipynb
index 5f64d65..8e561d2 100644
--- a/Tuto-GUDHI-DTM-filtrations.ipynb
+++ b/Tuto-GUDHI-DTM-filtrations.ipynb
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -404,12 +404,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Tr6HY0VN9SyvX1a3nzR27mDXSPPAMUw0Z+cJbC+GZ66F1b0fRnqJS/u247/PkUWf2eLd9Be4eNTT3L/4YIcekW2Hc5KwcumrpqoTC1GY4hwM/1ZAFnTPyg8W3dxICAH3bW/jBh7/q0e6KgSmDyll3+vjcv9wiQm7HBkCd72eud8qzQDKG5MgM55pG89UII6YaMnJOTWMTF+2o9+yVDG7ZEnfbYqAd8lvl4yHkaN3rlGdhVDC4tCQp9VpkhnNeXkMjo5ggMHJKTWMTN7y3gQmlRzKkZXOX9RtLj/Tdtgi4d3QeqH0SsaO+e+VpZtrwgVxXtz6paXPmhhpOTDVk5JTpazbSqsqdw77FnqLSTuv2FJVy57BveW7XV4RfBEEIgGMT6E55mqmuKOfKQeWe8Vxi6V9cRNXSVQxcsoKqpatMVRQSbERg5JTIBK2IQfgHH/6KwS1b2Fh6JA1fvIVlxRORoLs8Trq1iyGckj5OeZaYNXIoE/odEndOQhGwq11pdtdb+IrwYF5DRk6pWLLCd13jGeOz2JIMk0OvIS9qGpuYvmZjhyAuKy4CkU5xjCIEwg5jJIWf15AJAiMr+E1oGv3ntzxDRJQVF1F32rgctDS8DFyyIik7Qq5mXRupY+6jRs6ITGiKBIKLqBxqGpuYcVwlsaHWSoAZx2VHf24cwC/oXSzN+9u4rm49N69en+EWGdnCBIGRceLF2a+uKGfO6KFUlpYgOGEf5gTFCFxgTBs+MGGk1AiKk4Ft+MsrzaBcAJix2Mg4fi6JkXK/+DpGdokNZVHEgTScfuxR7ZRq0wgmNiIwMo6fyiFZVYSRPaoryqk95Xg2nTGee0cPTWqEEJ1q0wgmJgiMjOOlckgmYqaRW6orypk9cojjUZQAm4gWbEwQGBkn8kKJtgPMHjnEVAkBoLqinLrTxtFX4o8MbHQXbNKVoewc4D9xXI4fUNW7YtbfA5zhLvYFjlTV/u66NuBtd916Vb0gHW0y8guzAwSbu0cN4V/q1nvmg4ik2jSCS8qCQESKgfuBM3GS0S8TkUWq+m6kjqp+L6r+vwAnRO1ir6oW0Mwhwyg8IkI8NjWoha8uDNIxIpgArFXVdQAisgC4EHjXp/6lODmNDcMIEDaqK1zSYSMYDGyIWq53y7ogIkcDw4CXoop7i0itiLwuIl/zO4iIXOPWq926dWsamm0YRqaoaWyy4HUBIh0jAi8rkt9M9UuAJ1Q12j15qKo2iMhw4CUReVtVP+iyQ9W5wFxwQkyk2mjDMDKDV2pMC16X36RjRFAPDIlargQafOpeAvw2ukBVG9zvdcDLdLYfGIYRMOLNJDfyk3QIgmXACBEZJiIH4bzsF8VWEpGRQBnwWlRZmYiUur+PAL6Av23BMIwAkGgmuZF/pCwIVHU/cB3wPFAHLFTVVSJyu4hEu4JeCizQzuFORwO1IrISWALcFe1tZBhG8LCZ5MHDwlAbCfELIW0YXsTaCMCZSW6TCHOPXxhqCzpnxOUbf1vDq9t3dyyb4c9IRGzwOus85D8mCAxfbl69vpMQiBAdQtpII3mWxSwVbM5BsDBBYPjySIO/77cZ/tLMWws75zXescFZhsAKAz9uXr2eRxuaaMOJSXPFoHJmjRya62aFGgs6Z3hS09gUN22hGf7SzOLbOye3B2d58e25aU+GuHn1eua7QgCcfAfzG5os21mOMUFgeJLI59uCjKWZHfXdKw8oj/qMMuc3NNns4xxigsDoRCQ0QH0c1c+p/Q82/W+66eeTo9mvPKDEy3h2w3sbTBjkCBMERgfRSeb9OLi4iN+dMCKLrQoJk26Fkj6dy0r6OOUFRHGcda2qTF+zMWttMQ5ggsDowCs0QDR9ioSfHldYPdS8Ydxk+Md7od8QQJzvf7y34AzFVwyKP5Js3p8oS7KRCcxryOggnidQZbZ9wQvIlTJpxk0u+HOMeAfNj+ORVrV0lc07yDI2IjA68PMEqiwtofaU47MrBJ653nGhRA+4Ur61MDvHNzLKrJFD4+ZBjkxaNHtB9jBBYHQyEMfGFM9JkvmQuFKGmRnHVRLPAdmilWYXEwQhJ9ZArBxIMJGzJPMhcaUMM9UV5cwZPZTKOPNR6ltabVSQJUwQhBwvA7GSA3VQNPFcKd9aCPeMhdv6O9+mLgos1RXl1J5yfFxhYCqi7GCCIOTkZex4P1fKEWeZ7aAAmTZ8IH2KvBIdmoooW5ggCDl5GTvez5VyzQtmOyhAqivKmT1yiO96UxFlnrQIAhE5R0RWi8haEbnFY/1UEdkqIivcz9VR66aIyBr3MyUd7TGSx6s3lhMDcSzjJsP33oHbtjvf4yab7aCAqa4oj6siuqFuvQmDDJKyIBCRYuB+4FxgDHCpiIzxqPq4qo53Pw+425YDPwImAhOAH4lIWaptMuIT8RIauGQFM9dtYnJFGZWlJQg5NBAnQ0jCMISVacMHdvFai9BK4vhXRs9Jx4hgArBWVdep6qfAAuDCJLc9G3hRVZtUtRl4ETgnDW0yfLh59Xquq1tPfUsrijPsXtjYzLThA9l0xvjcGYiTISRhGMJKdUV53Ii3Fvo8c6RDEAwGNkQt17tlsVSLyFsi8oSIRBSCyW6LiFwjIrUiUrt169Y0NDt81DQ28UhD1/DSGTHIZcK7JyRhGMJMPPWQhT7PHOkQBF6judh3zTPAMao6DvgTML8b2zqFqnNVtUpVqwYMGNDjxoaZmes2+fa40trbysTM4Ihg+f01zvLX5x6wHRgFw7ThAymRrq+FEiz0eSZJhyCoB6JN/pVAQ3QFVd2mqi3u4q+Ak5Ld1kgf8V72ae1tpXtmsIWcCA3VFeXMGTWEsl4H4pSWFRcxZ/TQ/FVZFgDpCDq3DBghIsOAjcAlwGXRFURkoKpGdA8XAHXu7+eBO6MMxGcB09LQJsODwaUlniGmhTT3ttLt3RNPsNiIoOCwfMfZJ2VBoKr7ReQ6nJd6MfCQqq4SkduBWlVdBFwvIhcA+4EmYKq7bZOI3IEjTABuV1XzEcsANY1N7PYI8SvAlYPS/OD1q3R77x7lPcHcRg0jo4hqPDt9flJVVaW1tbW5bkZgiMQTig0lUdarmBkjBqe/9xWbiD1Cn3I4d1b3e/H3jPURLEMcO4GRPsIY/jtEiMhyVa2KLbeZxSFg+vv1nglnDi4uyswQPOLd0ydm33ubeqbbN7fR7GC2mNBigqDAqWlsormt3XNdRv2yx02Ggw7uWt4To7G5jWYHC/8dWixDWYHz/fc8VCouGffLTqduPwTZu3KO2WJCiwmCAqamsYk9cWxAGffLTrfR2Mgsyf5fz94Iy+eBtoEUw0lT4fyfZ6OFRoYw1VABM33NxrjrM+6i56XbR5xw0kb+kYwt5tkbofZBRwiA8137oFNuBBYTBAVMs4e7aIToCTsZY9xk+OxldJ5ArrDyN2aAzEeSscUsn+e9rV+5EQhMNRRSZozwDOmUfta8QJeoITYZLH9JZItRn86FX7kRCGxEUMCUFXv/vX0lC2qhCGaALCzEZyTpV24EAhMEBcyM4yqJ9QsqAe4eNTR7jbAcAoXFSVO7V24EAhMEBUx1RTlzRg/tlHQm68G7Cn0yWCbCbecz5/8cqq46MAKQYmfZvIYCjYWYMDJPoYYt8AqlUdLHJrtlgZrGJmau28TGllYGl5YwbfhAC1SXBH4hJkwQFDLRL+A+boDXvc2F9TLOJRYDKSd4xc7qUyT5m2I1j7BYQ2EjNm7M3ibnYzFk0ocZwnPCzHWbusTOykiWvRBhgqBQ8YobE43FkEkdM4TnBL8YWV65NozkMEFQqCTTK7Wea2oUuiE8l8QxwvvFyBIctZHRfUwQFCrJ9Eqt55oaFhU1Mzx7o5Ob2icc9rThA32TnU9/3zo3PSEtgkBEzhGR1SKyVkRu8Vh/o4i8KyJvichiETk6al2biKxwP4vS0R4Dnzg/UVjPNT2Mm+wYhm/b7nybEEiNtxZC7UP4zkbHcYv2c3Fpbmu3UUEPSFkQiEgxcD9wLjAGuFRExsRU+xtQparjgCeAn0at26uq493PBam2x3CJ7a32KXcTxVjPtSAplPkMi2+nixCIEKXKrIwTQt2Mxt0nHbGGJgBrVXUdgIgsAC4E3o1UUNUlUfVfB65Iw3GNRFgM/3AQO58hokqB4P3/8exWUarMacMH8t269Z7VMppwqUBJh2poMBDtTF3vlvlxFfDHqOXeIlIrIq+LyNf8NhKRa9x6tVu3bk2txYVOofQOjeQopMxivnYr6aTKrK4o942gm/GESwVIOgSBn92ma0WRK4Aq4O6o4qHuBIfLgDkicqzXtqo6V1WrVLVqwIABqba5cLG8s+GjkOYz+OWwqPrnLqObGSMG06eo8+unT5FkPuFSAZIOQVAPDIlargQaYiuJyFeAHwIXqGpLpFxVG9zvdcDLwAlpaFN4KaTeoZEchTSfwcsT6+tzPWMZVVeUM3vkkE6xtGx2cc9Ih41gGTBCRIYBG4FLcHr3HYjICcD/AOeo6pao8jJgj6q2iMgRwBfobEg2uksh9Q6N5Jh0q3fMo6B6hXXDtlVdUW4v/jSQ8ohAVfcD1wHPA3XAQlVdJSK3i0jEC+hu4BDgdzFuoqOBWhFZCSwB7lLVdzF6TiH1Do3ksPkMRopY0LlCwyJiGobhgwWdK2BqGpuoWrqKgUtWULXreN447U7rHRqhotMzsHSVTSrrJpazOODEhuStb2nlkqKTmH3pn013aoQCr2fgptWOR7s9A8lhI4KAYyF5jbBjz0DqmCAIOH6zKG12pREW/MJPW1jq5DFBEHD8ZlHa7EojLHjPL7aXW3ewaxVwpg0faLMrjVDT5lPejuUnSBYTBAGnuqKcyRVlHb2iYmByRZkZycJOiOJNWSTS1DFBEHBqGptY2Njc0StqAxY2NltPKMyELN5UvNGv2cqSwwRBwJn+fr15TBidCVm8qeqKcsqKvV9lZitLDhMEAaamsYnmtnbPdeYxEWJCGG9qxnGVZitLARMEASZer9/Pk8IIASGMN2W2stQwQRBg4uk//TwpjBDgFdM/yNFIk8BsZalhgiDAxNN/xvOkMAqcEEYjtdnFqWGxhgLMtOEDueG9DbTGRJAtIb4nhRECQpav2mYXp4aNCAJMdUU5c0YN6ZS7tay4iDmjh5pu1AgVfjYxs5UlR1pGBCJyDvCfONf9AVW9K2Z9KfAIcBKwDfimqn7krpuGk9C+DbheVZ9PR5vCgmVoMgx/m5jZypIj5RGBiBQD9wPnAmOAS0VkTEy1q4BmVf0McA8wy912DE5qy+OBc4D/cvdnGIaRNH7zCPzKjc6k4ypNANaq6jpV/RRYAFwYU+dCYL77+wlgkoiIW75AVVtU9UNgrbs/wzCM5BHpXrnRiXQIgsHAhqjlerfMs46b43gHcHiS2wIgIteISK2I1G7dujUNzTaMHBGiOEDZYvt+byWQX7nRmXQIAi+RG5sI2a9OMts6hapzVbVKVasGDBjQzSYaRp4QsjhA2aJ/L2+Nsl+50Zl0CIJ6YEjUciXQ4FdHRHoB/YCmJLc1jMIhZHGAsoZ69h/9y41OpEMQLANGiMgwETkIx/i7KKbOImCK+/ti4CVVVbf8EhEpFZFhwAjgzTS0KTRY0u6AEcI4QNlgu0/MLb9yozMpu4+q6n4RuQ54Hsd99CFVXSUitwO1qroIeBD4tYisxRkJXOJuu0pEFgLvAvuB76qqKfWSJPRJu99a6PSkd9Q7cXQm3Zr/k6j6VbpqIY9yo8f0Ly7yDMDY37yGkkI0gEOnqqoqra2tzXUzck7V0lWeMycrS0uoPeX4HLQoi0R07dFqlpI++RNKwU9IebUbAdQJBREEYZaHjH71bZo9DMNlvYqpO/UfctCi/ERElqtqVWy5hZgIMKFOXB9P157rF2nsyz5iEIYDbVt8uzsycIWAXz0jKcxrKDVs3BRgQp24Pp917YkMwuMmw/fecYPCqX89I2lC/SykARMEAcYrcb0Akw4/NDcNyib5HHM/WSGVz8IsYHg9C5aYJnlMEASYSDKO6NtfCUkcdq+Y+wiMOCsnzelEskIqn4VZwKiuKGf2yCFUlpYgOHay2SOHhMNpIg2YIAg4i7ft7DIDLxRx2MdNhs9eBrFicOVvcj85K1SShhwAABsoSURBVNnEMCFMIJNJqivKqT3leDadMZ7aU443IdANTBAEnFAbjNe8QF7q2JNNDBPCBDJGfmJeQwGnj8AeDw/gPmGItZXPOvZkE8OELIGMkZ/YiCDg7POZBuIlHPKangRiMx17+rGAeKHEBEHAiTeBPjAG454GYjMde3qxgHihxQRBwIkXWzEwBuOeBmIzHXt6sYB4ocVsBAHnikHlzG/w7vnnvcG4IwyDR+wdSE7X3xMdexBjFGWDfLa5GBnFRgQBZ9bIoRzsE1grr2dVdlJD+JAJXb+pP/wxm0toMUFQAFx8VH/P8rTMMM6U8dBLDRFNpnT9pv7wx2wuocVUQwXA4m07u1WeNMkET+sp8dQNmYzCaeoPfzoFxDO1WZgwQVAA+NkCvEJUd4tMRvj0jcs/xAnIlinCmg8gWbuIzWsIJSmphkSkXEReFJE17neZR53xIvKaiKwSkbdE5JtR6+aJyIcissL9jE+lPWElni0gJRfSTPaec6WGCKP6w+wiRgJStRHcAixW1RHAYnc5lj3Alap6PHAOMEdEopXa31fV8e5nRYrtCSXxIixOX7Ox5zvOpPEwV66fYXQ5NbuIkYBUVUMXAqe7v+cDLwM3R1dQ1fejfjeIyBZgALA9xWMbLtUV5Xy3br3nOq+sTUkz6VbvLGDp6j3nSg0RNvWH2UWMBKQ6IjhKVTcBuN9HxqssIhOAg4APoop/4qqM7hGR0jjbXiMitSJSu3Xr1hSbbSRFGHvPhUgBu4XWNDZRtXQVA5esoGrpquDMps8zEo4IRORPQIXHqh9250AiMhD4NTBFVSOREaYBjTjCYS7OaMJzvKqqc906VFVVBS2STsYp80ne3TfV4HNh6z0XIpke2eWImsYmblq9gb3tzuugvqWVm1Y7jgAWgrp7JBwRqOpXVHWsx+dpYLP7go+86Ld47UNEDgP+AExX1dej9r1JHVqAh4EJ6TipMDLjuErPP7MVsV5S2CnQkd3MdZs6hECEUOTiyACpqoYWAVPc31OAp2MriMhBwJPAI6r6u5h1ESEiwNeADPoNFjbVFeX069U18lCr2oNhETU5kCf5tu0H3HMDfk1CnYsjzaQqCO4CzhSRNcCZ7jIiUiUiD7h1JgOnAVM93EQfE5G3gbeBI4AZKbYn1Gz3MQynPJ8gyOSz62SuBFQ+X5NuYAnr04eoBk/dXlVVpbW1tbluRt5RtXSV50tfgPtGDw2n3vSesbmZuJaI2Fnb4Ojts6GySeWa5FHAvlgbATgJ6y1XsT8islxVq2LLLdZQATFt+EC8bMMKTH8/pK6C+eo6mUvf/p5ekzwbSVjC+vRhgqCAqK4o75LIPkJzW3s4jcb56jqZSwHV02uShxPTLGF9ejBBUGBUxtGPBsponC79eb6GlMilgOrpNcnX0ZWRMiYICox44SYCYzROpwoiX10ncymgenpN8mR0ZZPI0o8ZiwuQ0a++7RlaIjBG43w18KabPDK8JkUuDdwuZiBODT9jsYWhLkBmjBjMdXXru9gLFEc9lPcPTFhUEEGbtZ0H+QriTSLL+/s6jzFBUIDEC0IXiMk2Yc0ZEARyLLxsEllmMBtBgeJnNA7EZJt8NfAaOccmkWUGEwQFyrThA+lT1HlWQZ8iiWtMzhvy1cBr5JxA39d5jKmGCpSIvnTmuk1sbGllcGkJ04YPDI4eNWj6cyMrBP6+zlPMa8hIjqB5uBiG0QXzGjJ6TqzbYMSvH0wYGEYBYILASEy80AImCIwMcvPq9Tza0EQbUAxcMaicWSOH5rpZBYcJAiMxYfHrN/KKm1evZ37DgVnDbdCxbMIgvZjXkJGYPAktYISLXzd4h47wKzd6jgkCIzHm1586liWt23TNwB2/3Og5KQkCESkXkRdFZI37XeZTry0qO9miqPJhIvKGu/3jblpLI98wv/7UyLM4/kHg5tXeM+ONzJCS+6iI/BRoUtW7ROQWoExVb/aot0tVD/EoXwj8XlUXiMgvgZWq+t+Jjmvuo6lT09hkvtjZIixB9NJETWOTb4gUgL4C604f77ve8CdTGcouBOa7v+fjJKBPtkECfBl4oifbGz0nEsGxvqUVxQlPfV3deuuFZQoztneLRNn07h5lhuJ0k6ogOEpVNwG430f61OstIrUi8rqIRF72hwPbVXW/u1wPDPY7kIhc4+6jduvWrSk2O9x4RXBU4JGGJovtngnM2N4tmtv8rQBlxUU2cs0ACQWBiPxJRN7x+FzYjeMMdYcjlwFzRORY8E2v64mqzlXVKlWtGjBgQDcObcTiF6lRgelrNma3MWEg3cb2AjY81zQ2cdHmF1n2+mQaXjmdZa9P5qLNL3asn3GcCc9MkHAegap+xW+diGwWkYGquklEBgJbfPbR4H6vE5GXgROAGqC/iPRyRwWVQEMPzsHoJoNLS3yzlTXvb6Omscl6XekknXH8gzjLO8nwJDWNTfz5lYf42ft307e9BYAhLZv52ft3A/DCoLPtvswQqaqGFgFT3N9TgKdjK4hImYiUur+PAL4AvKuOlXoJcHG87Y30M234QM/hWIRA5TYOCuMmO4bh27Y73z19aedhAvm4dMNjaua6Tdy0bm6HEIjQt72FH374K35qo4GMkaoguAs4U0TWAGe6y4hIlYg84NYZDdSKyEqcF/9dqvquu+5m4EYRWYtjM3gwxfYYSVBdUc6Vg/x7VpbkI48JmuG5G4JrY0srg1s8lQoMbtlio4EMklKICVXdBkzyKK8FrnZ/LwX+wWf7dcCEVNpg9IxZI4eyaPN2T8OcJfnIY4KWvS0JwRVxZVZgY+mRDGnZ3KW65Ov5FQg2szjEzDiu0pJ8BI2gzfJO4DEV7coMcOewb7GnqLRT1f29kjy/AjaiZxoTBCGmuqKc2SOHUFlaguCkt5w9cki4huDZeHmk8xhBm+WdQHDFujI/edSZ/Ntx32dD6VG0I+w+ZDC9Lkji/Gz2dkpYYhojvMR64IDzkkrnizUbx8h34ngNDVyywtNnXIBNZ3Rj9rDN3k4KS0xjGLFkI8+C5XKIm3bUz5W523aqoBnR8wxTDRnhJRsvD3tBxSVtyeht9nZKmCAwwks2Xh72gopL2uxUQTOi5xmmGjLiUtBRSifd6q2/T+fLIxvHCDjVFeWp31PpnL0dQkwQGL5EXPsiXh31La3ctNoxyBWEMMjGy8NeUECWOhRxbBFGfMxryPClaukqT0NeMXDv6KGFIQyMjFPT2MQN722gNepdUyLCnFEhc1XOAzKVj8AoYPxCTbSB5S8wkqKmsYl/qVvfSQgAtKpapNs8wgSB4Us8Fz4F5jc0mTAwfImoFv2yCzTvb8tqewx/TBAYvni59sUS+GQ2FpYgY3glQDLyExMEhi8R177iOHWUAIettrAEGaOmsck350WEsmJ7/eQL9k8YcamuKOfe0UPj5i8IbNjqoMX2DwgRlVA8SrBsY/mECQIjIYnyFwQ2bLXN+s0IiVRCZb2KmWNeZ3lFSvMIRKQceBw4BvgImKyqzTF1zgDuiSoaBVyiqk+JyDzgS8AOd91UVV2RSpuMzDBr5FDAsQlEP+J9ioRhfQ5i8JIVtOG4ll4xqLyjfl4TtNj+3SHJ9JCZIN4I8X4TAHlJqhPKbgEWq+pdInKLu3xzdAVVXQKMhw7BsRZ4IarK91X1iRTbQWtrK/X19ezbty/VXRUkvXv3prKykpKSnvfeZ40cyoR+h3SaGDSsz0G8un13R502HG+iSP28plBn/eY4r7FfILnK0hITAnlKShPKRGQ1cHpU8vqXVXVknPrXAF9S1cvd5XnAs90VBF4Tyj788EMOPfRQDj/8cETie7qEDVVl27Zt7Ny5k2HDhqV135GRgBdlvYqZMWJwfj/8Oew5Z4wshmT2mjEMdJqRDs7IMXS5LvKQTE0oO0pVNwG430cmqH8J8NuYsp+IyFsick8kyb0XInKNiNSKSO3WrVu7rN+3b58JAR9EhMMPPzwjo6V4nuDN+9u44b0N+e1emq6k8vlEd20fPXShjc4upnQOQRL6hEcBI6FqSET+BFR4rPphdw7kjhj+AXg+qnga0AgcBMzFUSt5umyo6ly3DlVVVZ7DGBMC/mTq2hQTXxi0qjJz3SZ7CWST7tg+eqhGqmls4vq69V3++73tzv9de8rx9p8HiIQjAlX9iqqO9fg8DWx2X/CRF/2WOLuaDDypqh3KQ1XdpA4twMNYIvvAcUUcb6II9S2tVC1dld8jg0KiOyGZe+BCGxkJ+HUAAutOHGJSVQ0tAqa4v6cAT8epeykxaqEoISLA14CCySl32223MXv2bN/1Tz31FO+++24WW5QZZo0cypQkhcFNq/NcTVQodCevcQ9caBO5hwbWnTjEpOo1dBewUESuAtYD3wAQkSrgWlW92l0+BhgCvBKz/WMiMgAnRekK4NoU25M0uY6z/9RTT3H++eczZsyYrB0zU0S8iW6oW0+8vmBEbWAqgyyQbEjmJNVI0c9LPPeSHmUXM3JOwYShrqurY/To0UltHxtnH9Lj1fCTn/yERx55hCFDhjBgwABOOukk+vXrx9y5c/n000/5zGc+w69//WtWrFjB+eefT79+/ejXrx81NTW89NJLXer17du3x23xojvXqCfUNDYx/f16mtv8wow5VJaWFGaimyASayMAR40UNYLwel68sPDk+Y+FoY7Ca2gb6a32lOXLl7NgwQL+9re/8fvf/55ly5YB8PWvf51ly5axcuVKRo8ezYMPPsgpp5zCBRdcwN13382KFSs49thjPesFjeqKcupOG0fjGeOp9FEPCHTxMjF1UQ6Jo0aqaWyiaukqvlu3PqEQ6FMkJgQCTCgzlPkZs1Ixcr366qtcdNFFHb34Cy64AIB33nmH6dOns337dnbt2sXZZ5/tuX2y9YLCtOEDu/QiBbqoFfa2K9fXOaGs7SWSIzzUSMmOAgRsZFcAhFIQ+M18TNXI5eWiOXXqVJ566ik++9nPMm/ePF5++WXPbZOtFxQiL4VoO4xfNMo2KKwUmAVAMiGkK0tLqD3l+Cy1yMgkoVQNecXZT9XIddppp/Hkk0+yd+9edu7cyTPPPAPAzp07GThwIK2trTz22GMd9Q899FB27tzZsexXL8hUV5RTe8rxbDpjPLWnHO+rLoLUVXNGekk0OjajcGERSkEQibOfzpmPJ554It/85jcZP3481dXVnHrqqQDccccdTJw4kTPPPJNRo0Z11L/kkku4++67OeGEE/jggw986xUSiRLdmP95bojYAgYuWdEx3yPe6NhmChceofQaCiv5cI38ZqSCqRqyRbQraP/iIna1a6ecwn2KhMkVZSxsbLZ4QQWGeQ0ZeUEk0U26VXNGcsTGB2pua++SWH5vu7J4206LFxQiQmksNnKLlyE5Ga+TXE8CLASSzSO8saWV6opyu74hwQSBkRO6+5KJdWeMjnRpLyt/kp3kF4uFiQgXJgiMQOA3CXD6+/U2SvCgpwIATE0XRkwQGIHAz6Ooua2942VX39LKDSGenBZRndW3tHpO3vOjBDikVzHb97eZMA0pJgiMQBBvQlo0rcB1deu5rm59qF5qsaqzZISAzQo2IpjXUI6YN28eDQ0NHcunn346EZfY8847j+3bt+eqaXlJojkIES7a/CJvvj6Zja+czpOvXMTilx9k0JIVVCxZweAlK7h59fostDb7JGsEjlBZWtIx0c9TCPQwa5kRTMI7Ishxrtp58+YxduxYBg0a1GXdc8891619tbW1UVxc3P1GBChfbzIhKy7a/CI/e/9u+ra3ADCkZTOz378bBZ486kzagPkNTcxvcILcFeMk1pk1cmgWzyQzdGcyXokksAH0MGuZEVzCOSKI3Og7NgB64EZPsdfz85//nLFjxzJ27FjmzJnDRx99xNixYzvWz549m9tuu40nnniC2tpaLr/8csaPH8/evZ0zRB1zzDF88sknADz66KNMmDCB8ePH8+1vf5u2Nmcq1iGHHMKtt97KxIkTee2117jlllsYM2YM48aN46abbsrZNcgksSErynp1Fn4/+PBXHUIgQt/2Fn7w4a889xcRDPkySojM8I2MXiqiZvomIlkvn7JexcwZlWA+QA+ylhnBJqURgYh8A7gNGA1MUNVan3rnAP+J0wl7QFXvcsuHAQuAcuB/gX9S1U9TaVNSxLvRe9jjWb58OQ8//DBvvPEGqsrEiRP50pe+5Fn34osv5r777mP27NlUVXWZ5NdBXV0djz/+OH/9618pKSnhO9/5Do899hhXXnklu3fvZuzYsdx+++00NTVx1VVX8d577yEiyamVMnANss2MEYO54b0NHROiBrd4Z0r1K4/waEOT56igprGJf3+/nt0xnjdlvYpBle1t7d3WscfO6kWE7fvbuszwjcy8TtZNNl6018ru2gF6kLXMCDapqobeAb4O/I9fBREpBu4HzgTqgWUiskhV3wVmAfeo6gIR+SVwFfDfKbYpMRm40f/yl79w0UUXcfDBBwNOHoJXX321x/sDWLx4McuXL+fkk08GYO/evRx55JEAFBcXU11dDcBhhx1G7969ufrqq/nqV7/K+eefn3jnBfCwx6qLNvU+ksH7Nnept7H0yLj78Qp3UdPYxPXvrafNQ+3evP/AFvUtrVxXt543d+wCHKHShjPU7i2wVw8YZIFOL+to1854bp7JZHbr6SQ9T5LMWmYUDikJAlWtA+/wy1FMANaq6jq37gLgQhGpA74MXObWm48zusi8IMjAje4Vs2n79u20tx94wPft29ftfU6ZMoWZM2d2Wde7d+8Ou0CvXr148803Wbx4MQsWLOC+++7jpZdeir/zAnnYO01MO3wG+xddT6/9B0Y6e4pKuXPYt+Luw8u6MnPdJk8h4IVCh90hQjuwx90+0qvvXVTULYNuNMnYANI2E3jSrd5Zyybdmvq+jbwkGzaCwUD0G6feLTsc2K6q+2PKM8+kW50bO5oUb/TTTjuNp556ij179rB7926efPJJzj33XLZs2cK2bdtoaWnh2Wef7agfG4bas5mTJvHEE0+wZYuj2mhqauLjjz/uUm/Xrl3s2LGD8847jzlz5rBixYrEDc7ANcg54ybT64LO2baenvhjnj7qzLibXTGo68sz3ZFQ97Zrp5FEd8nqTN84WcuMwiThiEBE/gRUeKz6oao+ncQxvIYLGqfcrx3XANcADB2aopdH5IZOo8fMiSeeyNSpU5kwYQIAV199NSeffHKHQXfYsGGdwktPnTqVa6+9lj59+vDaa6957nPMmDHMmDGDs846i/b2dkpKSrj//vs5+uijO9XbuXMnF154Ifv27UNVueeeexI3OAPXIC+IybZ1qfuJnmwVIZ7XULLzFrJBTmb6emQtMwqXtIShFpGXgZu8jMUi8nngNlU9212e5q66C9gKVKjq/th68bAw1D3DrlHyxLMR9JSy4iL2qfqqhyIzfJv3t1GMY7votqHXMOLgF4Y6G/MIlgEjXA+hjcAlwGWqqiKyBLgYx3NoCpDMCMMwMk7kxevlNXRwcVGXsiIcu4AffYqEGcc59hcvryGb4WvkklTdRy8CfgEMAP4gIitU9WwRGYTjJnqe29u/DngeZzT+kKqucndxM7BARGYAfwMeTKU9hpFO4hlfvUJiv7ljV1yvoci+7GVv5BsFlaFs1KhRiTyYQouq8t5775lqyDBCTMFnKOvduzfbtm3zdOMMO6rKtm3b6N27d66bYhhGHlIwsYYqKyupr69n69atuW5KXtK7d28qK4M1R8AwjOxQMIKgpKSEYcOG5boZhmEYgaNgVEOGYRhGzzBBYBiGEXJMEBiGYYScQLqPishWoGvQndQ4AvgkzfvMJkFvP9g55AtBP4egtx8ydw5Hq+qA2MJACoJMICK1Xv61QSHo7Qc7h3wh6OcQ9PZD9s/BVEOGYRghxwSBYRhGyDFBcIC5uW5AigS9/WDnkC8E/RyC3n7I8jmYjcAwDCPk2IjAMAwj5JggMAzDCDmhFAQi8g0RWSUi7SLi66IlIh+JyNsiskJEumRfyyXdOIdzRGS1iKwVkVuy2cZEiEi5iLwoImvc7zKfem3uf7BCRBZlu51eJLquIlIqIo+7698QkWOy30p/kmj/VBHZGnXdr85FO/0QkYdEZIuIvOOzXkTkXvf83hKRE7PdxkQkcQ6ni8iOqP8gcwnFVTV0H2A0MBJ4GaiKU+8j4Ihct7en54CTCOgDYDhwELASGJPrtke176fALe7vW4BZPvV25bqt3b2uwHeAX7q/LwEez3W7u9n+qcB9uW5rnHM4DTgReMdn/XnAH3Fyo38OeCPXbe7BOZwOPJuNtoRyRKCqdaq6OtftSIUkz2ECsFZV16nqpzgpQS/MfOuS5kJgvvt7PvC1HLalOyRzXaPP7QlgkuRP1qR8vy8Soqp/BpriVLkQeEQdXgf6i8jA7LQuOZI4h6wRSkHQDRR4QUSWi8g1uW5MDxgMbIharnfL8oWjVHUTgPt9pE+93iJSKyKvi0g+CItkrmtHHVXdD+wADs9K6xKT7H1R7apVnhCRIdlpWtrI93s/WT4vIitF5I8icnymDlIw+QhiEZE/ARUeq36oqk8nuZsvqGqDiBwJvCgi77lSPCuk4Ry8eqBZ9ReOdw7d2M1Q938YDrwkIm+r6gfpaWGPSOa65vzaxyGZtj0D/FZVW0TkWpzRzZcz3rL0kc/XP1n+Fyc20C4ROQ94ChiRiQMVrCBQ1a+kYR8N7vcWEXkSZ0idNUGQhnOoB6J7cpVAQ4r77BbxzkFENovIQFXd5A7bt/jsI/I/rBORl4ETcHTcuSKZ6xqpUy8ivYB+5IkagCTar6rbohZ/BczKQrvSSc7v/VRR1b9H/X5ORP5LRI5Q1bQHozPVkA8icrCIHBr5DZwFeFr385hlwAgRGSYiB+EYLfPC68ZlETDF/T0F6DLKEZEyESl1fx8BfAF4N2st9CaZ6xp9bhcDL6lrAcwDErY/Rp9+AVCXxfalg0XAla730OeAHRE1ZFAQkYqIXUlEJuC8r7fF36qH5NpynosPcBFOj6EF2Aw875YPAp5zfw/H8aZYCazCUcfkvO3dOQd3+TzgfZwedL6dw+HAYmCN+13ullcBD7i/TwHedv+Ht4Grct1uv+sK3A5c4P7uDfwOWAu8CQzPdZu72f6Z7n2/ElgCjMp1m2Pa/1tgE9DqPgdXAdcC17rrBbjfPb+3ieMdmMfncF3Uf/A6cEqm2mIhJgzDMEKOqYYMwzBCjgkCwzCMkGOCwDAMI+SYIDAMwwg5JggMwzBCjgkCwzCMkGOCwDAMI+T8f2jLuWLq/OltAAAAAElFTkSuQmCC\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -436,7 +436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -445,13 +445,13 @@
        "Text(0.5, 1.0, 'Persistence diagram of the Rips complex')"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -485,7 +485,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -494,13 +494,13 @@
        "Text(0.5, 1.0, 'Values of the DTM on X with parameter m=0.1')"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -535,7 +535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -551,13 +551,13 @@
        "Text(0.5, 1.0, 'Persistence diagram of the DTM-filtration with parameter p =1')"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -596,7 +596,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -610,7 +610,16 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -622,7 +631,16 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -634,7 +652,16 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -675,12 +702,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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VlTmuhRtuuIHm5mYaGxtZv349X/3qVzn11FMBqKqq4le/+hXf+MY3KCsrY9OmTTz44IN527F582aOPvpogsEgp59+Oj/4wQ9oamrilFNO4UMf+hAHH3wwjY2NeL3eGbvuc+H888/noosuorq6mng8zu23375b+4Nk1/n555+noqKCa665hrPOOmvaIFiK97///XzrW9/in//5n6mpqaGlpWXGa5PN1772NW666SZKS0u57bbbZl3/8ssv5/TTT+fkk0+mqKiIY445hk2bNs35eOnccsstLF++nGOOOYbi4mI+8IEPODGf69at45577uGKK66gpKSE9evXT4vNdrvd/PrXv2ZwcJANGzZME97rrruOf/zjH5SUlPDhD3+YM844w1mmaRqPPvoou3btYsmSJdTX1/O///u/QPIlf9VVV3H22WdTXFzMoYceyuOPP573PNavX8/k5KQjuu973/uIRqPO51zM97pnc8kll/DRj36Uww47jEMPPZQPf/jD0wZ5U8x2j9x1113ceuutVFRUsHXr1gyL/qSTTmL16tVUV1fP2oNLXdMtW7bQ1NREZWUlF198MRMTE3m3eeKJJ1i9ejXBYJDLL7+cBx98EK/XO8+rsfdRZukOFwre7CNOOOEEPvWpT3HxxRfv1eOcddZZrFixghtuuGGvHqdAgXc4hYI371Q2b95MS0sLQgieeOIJHnnkkZzZZAtBSolt20SjUUKhENFolHg8jmma2La9V7KaChQ40JmttGOBA5z+/n7OOOMMRkZGqK+v57/+679497vfvVv7TImtZVlIKRFCIITAMAyklBkDHKqqomma809VVVRV3e3BnwIFDlQK7oUCcyZbbBVFcQqrWJaFqqrT1k//197eTnV1NT6fryDGBd7u5L2RC5ZugVmRUmJZluMyUBRlmsDmIiXKKVKj1qltLcvCNM2MbQpiXODtTkF0C+QlJbapUL25im0+FEXJcD9kC2mq15US4+x1NU1D13VHiDVNK4hxgQOOgugWmIYQwnEjwHSLNZv5CN9M7qzZxDjbtSGlnNEyLghygf2RgugWcBBCOG4EmF1sUxiGQSKRwOfz7TFxzrXdbGKcvc3k5CQVFRUFMS6wX1EQ3Xc4qUEu0zSdhIC5ClMsFqO9vZ3R0VFcLheGYaBpGn6/n0Ag4PzzeDzOPvdkGNlsYrx9+3bWrFkzbZuUdZzuqiiIcYF9RUF036GkQr2Ghobw+Xy43e45C08kEqGtrY1wOMzSpUs56KCDnOgF27aJRCJEIhHGxsbo6ekhHo+jqqpjjVqWhd/vx+v17hWhy/YD5zpv27anpaOmuylS1nFBjAvsaQqi+w4jJTqWZSGEoLe3l9ra2jmlS05OTtLS0oJhGDQ1NbF69WoURckoEqNpGsXFxRQXF2dsa9s2b7zxBrquMz4+niHG2Zbx3hJjyG/Fp4txdqxxLp9xIaKiwEIpiO47hHwxtqqqztrlHx8fp7W1FSEEy5Yto7y8fN7H1zQNt9tNeXk5ZWVlzvepjLZIJMLExAS9vb0HjBgXwtsKLISC6L7NySW26WFfqqrmrKolpWR0dJTW1lZ0Xae5uZmSkpLdaksun66maRQVFTn1jlPYtk0sFiMSiRAKhejr63Nm5cgW49kG8Ha3zfnEOOULNwwDRVFoaWmhubm5IMYFZqQgum9T5prQkG3pSikZGhqira0Nn8/HypUrneptu8t8BtI0TXMKyqcjhHAs48nJSfr7+3OKsd/v36u1H3KJ8cTERCHxo8CsFET3bcZ8ExoURUEIgZSS/v5+2tvbKS4u5rDDDsuYcWIm9lSc7lxQVXVGMY5Go4TDYfr7+4lGo2zevBmfzzfNMt6dJI+ZmGviR/Y5qapaSPx4h1AQ3bcJ801oSKEoCkNDQ7S0tFBeXs673/3uvVaDdG+KSLYYSyl58cUXWbNmjeOmiEQiDA4OEovFAPYrMS4kfrxzKIjuAc5CExps26a7u5vOzk5KSko46qijcLvde7WtezpOdy6oquqIajpCCGKxmGMZp+ZZg6QYZ7sq3moxzt4mlyAXxPjAoCC6ByDpgzijo6P09/ezcuXKOT1wlmXR2dlJX18fNTU1NDY24na797rgpthfauymi3FVVZXzvRCCeDzuWMbDw8OOGHu93gzLOF2M9/R5zSbGQgg6OztRVZWamhpn3ULix/5PQXQPILJjbOHN6IPZHirDMOjo6GBwcJD6+nqOOeYYNE2jq6srZ/TC3mBfP/gLOV4qVM3v92eIsZQyw00xPDxMLBZDCOFYxqZpMjk5id/v32tzc2WLsa7rzrEKiR8HBgXRPQDIFtvUw5LKuJpJNOPxOG1tbYyNjbFkyRKOPfbYaSFj2QM780EIQXd3NxMTE44FGAwGcblc09bdl+6FvWF55hPjeDzuRFJ0dXURjUYRQuS0jPekGAshMn7L+cQap/4vJH7sewqiux+TL6EhO1sql+hGo1Ha2toIhUIsXbqUFStW5HyQ5pIckYuUT7i7u5tFixZRVVVFLBZzws0sy8LlcmWITipK4u2EoihOGnVXVxerVq0C3hTjlGU8Ojo6TYz9fj/BYHDBYpwtujO1sZD4sf9QEN39kNkSGtJJ1TtIMTk5SVtbG7FYjKamJlatWjVr5a/5uBcsy6Krq4ve3l5qamo4+uijHWs5O1PNMAxHdAYGBhgZGXFC0wKBALrfj+rzU10UxJPDMj6QyBatlBj7fL6MmW+llCQSCee6dHd3E4lEEELg8XimWca6nv8RnYtbaSbmk/iRIpFI4HK5nBdFQYznT0F09yMWMkNDyqc7MTFBa2srlmU5qbpzeRDyZaRlkz4AV1tby9FHH+0IQr7tUwN0ZWVl9BkWj0o3MRSOqyqjNRLlFyMxLDtKmd3HJ0WERR53hugEAoG95hvd02SLbj4URcHr9eL1eqmoqMjYPl2Me3p6iEaj2LadV4znaunOl5nEeGBgIGdoXcEynjsF0d0PWOgMDVJKJiYmmJiYoKWlhWXLllFaWjqvY88muqZp0tHRwcDAQMYAXK62ZD9gMVvwfxMRuhMWT4ViWIZkVAie6BpFQeGIgA+/rjJo2PzNV8WVi4sJh8OO6IQjUWLCptjtoagoiM/vxxsIULIfivFcRTcfM4lxeo+ht7eXSCSCbduYpolpmsRiMUeQZ7KMd5dUryh98C7VRpg98aMgxkkKovsWIoRwHqaSkpI5jyZLKRkeHqa1tRWPx4PX6+XII49cUBvyDW4ZhkF7eztDQ0M5B+By7SeduG1zya5+Xo8msCTYUuKTYCoQkwIBbI7EWRP0UelS2RUznYI4ZlEJW8MxHhsNY0mo01UOUQWPDUYJW5M0SoOPiBjlXk/G4N3ejKedjd0V3XwoioLH48Hj8WS4b6SUbN26lZKSEmzbpq+vzxFjt3t6j2FPibEQYtoLb3cSP9JD294pERUF0X0LSE9oCIVCDA0NZVTeykeqe9fW1kZRURGHHnoogUCA5557bsFtybZ0E4kE7e3tjIyMzElsYfrDNmiYfG5nP1tjBh4leZPFJCQATYIgOc10yBLsihks9epUuzWiQnDfwAQvhuNsjxqUulSODPhoMQw2xk08qk5Y02iXLqzSCr60qAglHiMRizI6OkokEkFKmRHCFQ6H94kY7y3RzUdKnMrKyjISP1K+2HA4TDQapb+/n0gkknNgMxAI5IwymQnbtufcy9idxI9clvHbRYwLoruPyDdDg8vlmtWnKoSgr6+Pjo4OysrK9miqbkp000PLlk4VJl+IUFlC8MXWAXbEDARJsc1YTnJuanXq72HTosmjc0TAy2d39NOeMCnSFNyqQlxI2uIGAU1h2BQUayp+VUGV8IfxKK9EDUp0lS/WVnJiYyPwZjxtqv5CR0dHRqbZ3kr73deiC7mjFxRFcXoMsw1sLkSM5yO6+ZhL4kcikcj4fmhoiJqamrdF4kdBdPcyuRIa0m+U7OiDdGzbpqenh66uLqqqqvZKqq5hGIyNjfHSSy/R1NSUN7RsNmwp+ct4hD+MTvJ6xMCvqSTs3C8TOfUv+UFS59H5y3gEXVUIaApxKYnYkgpdI2wLPKqGROJVAQWGTRsbCFk2USG4sXOIBo9Os9ftxNN6PB66urpYvXo18Gbab64aDHuiVOT+IrozkT6wmU66GA8ODhKJRDBN0xHj9OuzJ0Q3H/nE2DRN+vv7Wbx48ayJHymjJruI/v5EQXT3EjMlNKSjado00U2FZfX09FBTU8O6devm3Q2cjWg0SmtrKxMTE7jdbtatW7dbovHYaJjHxiJYUmIjMYREJelKANCAXK8WXVX4/UgYt6bQ7HFjA0WqimnbhGwbj6oR1FQa3DqDlo2OginBBXim2ttv2FzeOsDRQR+X1ZZT7pouCrPVYAiHw3lLRQaDwVmLqB8IopuPfGJsmqYjxkNDQ7S3txMKhdi6datzTVL/9mYauWVZjnWbTXqsMcAf/vAHXn75ZW6++ea91p7dpSC6e5i5JDSkky666am6dXV1HHvssXvcqgiHw7S2thKLxVi2bBlNTU3s2LFjwYIxbFiMmBaPj0ZQFNAVKFYVQrbEpUBCJm+yEhVGRNK1kDqjlMAKBWwJQ6ZJvdtFe9ykWNc4ttjHRyqC+FSV/+wdZSwcxxRJG9kEBtMs6QpNoSNh8qP+Mb7eUMlcmUmMU8Vwcs1okS46Ho/ngBbdfLhcLkpLSzMiYl588UVWr17tJH6kxNg0TXRdzwhrS4nx7l6XlOjmIvvZmpiY2O1i+3ubgujuIeaT0JBOqku0fft2hoeH5zx4NV9S85uZppkRxxuPxxecJbZxdJL7+scwbcFL4RhFmopPVQloGhKbUl1nxLIwhUQoKi4EPgBVwRASG+g1bTwKHOxz02/ZLNdUji328y+LSzjI50ZVFL7bNUx7wqREU7EVQVRIrKy29Bs2a4rc7IwZiD2Q9Zavbm/69ELpc72lLK7Ozk7HOt4TgjMTu5scsdBjpiJmssMTTdN0rs3IyAidnZ3ODNHZPuP5XJv5uDQmJibmHTa5rymI7m6ykISGFKlU3XA4TGNj44IHr1LtyHUTp5ImbNumubl5WhdyvhlpKQYNi/v6xvCZCfojUdyKzoQpUBEYisoSTeU7VR5KguX8JWoxaNpsGhnnZQOEkKSGSSxASNgWNTinspizFpdQ69bxacnrEBeCP41FiAmBR1MZtZOCOuXeRUz93Wfa7IwZ2BL+Ho7zbt/eyXDLN73Q2NgY3d3duFwu5+9EIrHbgjMbb0WIXL62u1wuSkpKplmalmU5boqFiPFMlm42ExMTNE4Nqu6vFER3gaTEtrW1lZqaGtxu95wfgFQXPxqNsmzZMsbHx6mtrV1wW1L1F9KtgfHxcVpaWgBobm7O+/afa0ZaOkII3ujuYWJ8HL/XgycQpNQSTNgCXVVxS8FhPg01FqVvaJClsRjbVS8teClBMolOAvCTDCOTgAH02TaLXJojuIaQ/LhvjGHLQsik68INREi6KLyqQkJKLAmmhF7DYrXfw93943y0zM/ieV7H3UFVVdxut1NmMUU+wUnviu8Lv+hbia7recU4ZRmPjo7S1dXlvKjSB+9isVjB0n0nkz1Dw+joKIsWLZqT5RIKhWhpaZmWqrtr167dalMqAkLTNGcySU3TOOigg2YdxZ2P6CYsm0daO3ljaIS6ogBlJaW4XDoVtkV7PIYlJT6XStRW6FNdVDTU0aQnH5ZbXu+iJGYQkoJkzpIkKkFTJB4UTBTGYgn+NBLijMVJa/yegXH+PB4FmfQN95oClwI+wFYgLmRSfBWFMl3lhNIAXlXBlJI/jEc5n33X9c7X1c8nOKmueKqAerpfNHuQak8Pou4v6LpOcXHxtHvUtm3nRTU2NsbIyAiWZTE0NDQtHTp7cDMUChVE9+1CvhkadF3PG/KVYmxsjNbWVgCWLVs2p0SI+aAoCiMjI3R1deF2uznkkEOmdX/zMZcqY0IIurq7+WbXMK2aj7JAKS26m3q3zubJGFHbJiEkblVhxBKs9LmxpeT7PaNUuDSOCnpRAFuFsK3iU8EUClIBGwUT8ABdcZN7uwbY0dHJiZrgMTVIpabSkTpPpgblXBrHFnnZFjMp0lRW+Nz0GRZedSoMj+QgXRAvSvkAACAASURBVFRCb8KkwqXh2Qfd8Pm4DPJ1xVMRA+FwOGcsbbog7+uKbfvqeJqmZYixrutO4aDUiyrdn66qKi6Xi9/85jcMDg4yOTk5p0HGDRs28Lvf/Y5Fixbx2muvTVsupeTyyy/nsccew+/3c++99zqZn/fddx833XQTANdccw0XXnjhnM+vILozkC+hIf3h0nV9WlZNatuRkRFaW1txu91zsjoX0r7h4WFnFtpVq1bNe+bemWrcCiHo6emhs7OT/3SV83+KDwR0RU1qDZtdqsIRRT7GDIthw6ZYU6l06fQaFnEh8WkqHlXh18OTHBHw8ljcmBoAU/ArEo+qMGFLFrlUPIqCW1U5IlDEGDAR9OAdmMASFrqUaEgMCQFgwpS8Gori13UO8br419pyvtc7Sp9h4VcVJmxBg67xY3yUdY3g11QurS1jiWfvWYx7KnohV8QAZMbS9vf3OxlnW7ZsmZYKvbfqL6TSd/c1tm07GWq5/Om2bTM6OkptbS1/+ctfuO222/jKV77CihUreOCBB/Lu96KLLuKyyy7jggsuyLn88ccfZ+fOnezcuZNNmzbx+c9/nk2bNjE6OsoNN9zAiy++iKIorFmzhtNPP33OxlRBdHMwW0JDOtlxtlJKBgcHaWtrIxAIsHr16mnhSPmOOdeHNv0YwWCQsrIyDj744D02VXqqMHlXV1fSdXLwav5vZ1/GOr2WoFxTWOx20ZewqHZrDFuCIk0waQs8qsJSrwtdUVBI+l8/U+blztEYuqrR7HOREBJNAQWFCUuwOuBmkdvFhC3oE3B2dRkPDE6AZaIClZpKxBa4kFSoEpcR52/DMYoGeznSo9Op+4i4XKBoPDEeR0FFtwWGlPxn7xjfXlq110b793bIWK5Y2hdeeIGVK1fmLIaTXZlsT1Rs25uJETMx20CapmlUVVXx2c9+lp///Oc88sgjuN3uWXugxx9/PO3t7XmXP/LII1xwwQUoisIxxxzD+Pg4fX19PPXUU3zwgx90Mv4++MEP8sQTT3DOOefM6XwKoptGKuzLtu0ZExrSSYmuEMKZwry0tJTDDz8cn883p+OmV/KfrX2p2gslJSXOMV577bVZb7C5kC62ixcvZt26dei6zvWvdeRc3yUVvKqCLWHQtDFkMq03oCrUunX0qfMxpaRE1finEh/LEzEe0D30GRYH+9x8qa6cXwyF+ONYhK5EcsDMkoCUTNqCRS6dGrfOGzGTUl1lR8xgqcdNpc9N2BYMhuM87fPzggLv9Sg0mgl+FYlhi2QK8ouTUfyKgq7AG6VeVpQW7RVx3NdxuqneSb5iONllIlM1e3dnNov9VXTTsW3b8YHvblt7enpoaGhwPtfX19PT05P3+7lSEF3mn9CQjqqqDA4OsmvXLiorK1mzZg0ej2dex08Jd76uW7qg56q9sJAIhHSklHR2dmaIberG3RaJ02fmFvQjij20xgza4wZxCT5VISHBi0K9x0V33EJTQUo4uSqAFZ3kFwlJl23iV1WQ8PhomG7DwqPAjmiCbbEEQVXBpyrUe9wYU+Jyy9IqTOC3I5PsiCWIC8FrkQSaAg0eF7oCz5s2jZ4imt2S/lA0+XuiEJagSPhSSx9fFDuoUsnoku+JMK63QnTz3S8zlYnMN5tFdl2KXEWC3irRnetx97TPOdf+8rnj5vPbv6NFd6EJDZB8+3Z3d9PR0UFxcfFupeqmRDd7eyEEvb29dHZ2UlFRkVfQFyq6qSl3IpEIhmHkPIcR02aJV6ctbpB+hCDwnpIi4lLyYijKQV4XmqpgS4mQ8LGKYhIymQ68wu+mxq1zU3eM500oQTCpJN0QO2IG7y3y0qaqNPncxIVgzLRJyGSab1BT6TMsekyL08qCuBT45TB0JywUKVnk0mhLmAQUBVUFTUnG/lbqKhNW8m+PApUuDam42FZWyck1pRnCkyuMKyXGc/1N97XoLiQbbabZLOLxuFPLONcMyMFg8C3JuoO5W7opMdxTbayvr6erq8v53N3dTW1tLfX19Tz11FMZ359wwglz3u87UnRTMbZdXV2UlJQQCATmfAObpklnZyf9/f3U1tZy0EEHOcVBFkq2XzjbpzpboZvZJqfMJiW2XV1d1NTUEAgEWL58+bT1Irbg+fEwu6IGOslY2hRSgd+MhLiguowyl45PVfCoCglbEpWCRW6Npd5km4dMi9t7RvnNRAKDZHxukZr0z0pNJSwEUkKRrmJLiVtVMaXEkhLXVNiXjsLvx8I8F4rhAqrdGt2GypglKNJVBi0bVVH4Um2Qh0fDBDUNnWRsb61bIy4VKl0ag6Y9bXQ8RXqtgcHBQcLhMJZlOfVp0yMHsi2vvZ2Sm82ePF66GOebATkcDjM2NkYkEmHz5s2OZZy6JgspEjRX5mrpxuNx/H7/Hjvu6aefzh133MHZZ5/Npk2bKCkpoaamhlNOOYWvf/3rjI2NAfDHP/6Rb3/723Pe7ztKdLNnaAiHw3g8njkNQKXqzA4PD9PQ0ODMoJBerWqhpEQzfbLH7G7+TMxUqSydbLE95phj0HWdgYGBaesaQvKprR1sjcRJ5Oi1SUWhUtd4ZCiECrTGDfyKiktV+KeKoCO4Qkp+PhjitWgCm2QixLBpYwmJVOC9QS8CSEhBzBBUunTqPTqbJ+NM2DYTtqDCpbHC7+Yn/eM0uHVURWHcskFCqa4SERJVUVjicXGQ38NX/R62h2PcvWuCF/DSY9h4FIVWIbCmqqGdWOKfJhK5IgfS69NmT6OTbgXOJ4B/T7AvRD5VsS01A3JxcTHj4+M0NTVliPHAwMAerdiWry2zMT4+Pq8IoXPOOYennnqK4eFh6uvrueGGG5yZLz73uc9x2mmn8dhjj7F8+XL8fj/33HMPAOXl5Xzzm99k7dq1AFx77bXTymjOxDtCdLMTGtJjbHOFe6UTi8Voa2tjfHw8Z6puriph80VRFLq6uhgbG3Mme5xP2M9s7gXbtunq6qK7uztDbGfiN0PjbI3E8ah5SjRKsJG8Eo7TqAhKLJOYorJWV1htxXh1eJRVZSVEURg0TUK2oFpX6bdEsiyjENR7XJy3qJhyTeMf4ThPTkTxqAoBTeX6xiJ6ExYBTeH9pUEsKVFQpgrjWMRsgabA8cV+dDUZITFs2WiKQpGmcmTAw18RdLl1+gyLCSFBSEw7wbfaBxmpq+ATVbM/oPnq06b7R8PhMCMjIyQSCWcOsb1tBb4VdRdSFudsRYIikYhTsS0WizlFgtLFeKaKbQtlvtloM4WTQfK3/4//+I+cyzZs2MCGDRvm1b4Ub2vRzZfQkGIm0Y1EIrS2thIOh2lqamLlypV5M45mE+58WJblzD9WXV09b7FNkU9008W2trZ2RrHN9te1RgxMCUaemrhRKWkJRVFtm8V+N41FAToSBq8YFkrYwBiL0tzeSZ2wGdACRBQXlSpIJKNqMm1XSsl/9Y5xSlmQD5cHOaU8SNQW+DTViXxIYQpJsabw8MgkFhLDFrhUlX7TIqhpJKTk+BIfRdqbL8RX0XFNDe6ljPVxmZyx4t97hjm+2MfiBcbuZvtHUz2SmpoaxwrMJTzZ1ckWKjz72p0Bs3fz51IkKLtiW3ZYW/Y1mc/g2IFQYQzehqI7l4SGFLquT5tIL1WNyzAMmpqaqKysnFPI2HzInuyxvr6esrKyBQe1Z/t05yO2kDtkrSWWYEYvsZRIRWFpUYCAz41h2Qybkgq3ixXlRQybFn+e8FKua+yIJggLSUAIdCGISwWXApGEwXOGxc5wjHDC4MzqMor03A+1S03OJqEo4EbBr2t4VIUGj85qv5c6j4tV/ky/t0qyHkP2eQhg1JL8ZSLKOYv2zEOaPhCbEpBFixY5y9OFJ1dBnHQxnksNhrciUWGmCJuZmCmpIZVhln1NUi+oVJTOXAbxxsfH9/sUYHgbie58EhpS6Lru+KJSBWKklE5dhLkwlzTgFPkme0xVAVsoqqpimia2bdPZ2UlPTw91dXVzciOktk+3nAwheW4ikntlKdEVBZ+msLasiElb0p+wsIXAQnJYIPmQvB5NkBCStoRJmUvHLQS2ADeSgKZTpquMWzZSSMYtwe97h5js7mClBnogSHXQT1lRUcakimOWwKcqDJh20tVgCUK25OTyTMsqLgS/G41gAFFb5iyebgEvR2Kcw54T3ZkEKZ/wpBfESa/BkCvtN/23fKss3fmGQ87ETNckJcajo6PE43E2b948rSpZqnxmigOh2A28DUR3IQkNKTRNY3Jyks2bN6PrOsuXL59390TTtFndC4lEgra2NkZHR2lsbGT58uV71C+cSjmer9imyHZPfK9jgOj0g4CSjJ8N6hoqcGTQz8mVRfx5NMykYdCdMNEUBUMIJqxkYZuEkJjSRgVq3TrhmI2qqcRsCShoioJbVzi8vJTtpsWgpmIaBq6wxUmhPtyxNzOsPFqQjgQEVQVVSRYyfzmcrGXbb9q8FomjodCWMNgVSVCHYMCt0WbkvrYdcYt+w6LavWceg4W4CvIVxElP+02f6TeVaaYoiuM621cDeLlmAt4bpBfCiUajmKbJoYceOq1iW0dHh1Mk6Le//S0DAwMsWrSIkZGRjPjkfDzxxBNcfvnl2LbNxRdfzNVXX52x/IorruDJJ58EkmVYBwcHGR8fB5LP7GGHHQbAkiVL+O1vfzv385vzmvsZu5PQkJrobufOndi2zZFHHrngFNqZBDMej9Pa2sr4+DhLly7lkEMOyZtKvJA421TYW0dHB4FAYN5imyJbdJ8ej6CTFLWU2CqKQrECLk3FrSicWBbgE9WleFWV86rL6ApH+fVwiM2TcRQlGT87aFqEhUAj2aU3bUHpVHWwmEim57oUhTVBHyOWza6YyUcrguheN2OWzWtaCZ+pLnMyrPqHRvnfgRgjtgCZjPe1bJOnW9r4o+3C7XKBqvJiJM5xAS9hBQ4L+Gg3wmR7BktUhSq3zsAeEt09HcOaK+03PdMsFdL20ksvZSQ3pA/e7WlL+K1IjkiP0Z2pYlsoFOJnP/sZr7/+Op/4xCcYGRnh2WefzRvNYNs2l156KX/605+or69n7dq1nH766axatcpZ59/+7d+cv3/4wx/y0ksvOZ99Ph9btmxZ0DkdcKK7OwkNUkons6u4uJgVK1bQ1dW1WzULclXpisVitLa2EgqFZhyES99Htm95JizLorOzk97eXurr61m1ahVjY2ML9gmnn4MQAsM0ktECioKcandAgS8uWcSpFUF0RWGR24U6tSxs2dwzMI4GvKfEx6BpoyJ5PZZAyGTFL5VkHdyTVJvqqiI2TcaI2YIal84rkQSRKdF/KRznqKCXMl2jJ2FhS4k2lWE14gmAGqdcSVrIEaGiuzV2oSANAy06iWlaxFQPrydilFo2myfCaCTr7yZIVipzA+8v8REnGRu8J9hXIVypTLNUSm9TU9O0eNrsSTfTXRS7EzXwVotuPlwuFyeccAIbN27kX/7lX/jQhz40635feOEFli9fzrJlywA4++yzeeSRRzJEN50HHniAG264Yf4nkIMDTnRt28Y0zXmJbXpmV3l5uZNGm0gkFhx5kItUxEMkEmHZsmWsWrVqzm6OlLX8t4kI/9kzQn/CJCIEflXlk4tLubim3PHZpsQ2NYdaz8gILydsEuEYqwNetHk+VIqiODG8HR0dVLrL6Z6qqZCyfz9YXkRM2Pysf5x1xX4Wu5Oj9aOmxXWt/WwORfGqKkcXeWn2uXlxMoYiYZlHJy5h0rKwJAQVKNd1ji8OoCmweTJGQFOp97joSZhsjRrUeVx4FYVqt5ZxLr2GxVKPTp8pECRLSa4O+gj4PZR7LcqmBuFC4SjdUYNtFkwKgSQ5UFikSGKoLNcVwpbNSWVFNO2hymNzsXRNIQnZgjJdxZKwM55MOmnwuPCoyrx+t3SRz46nTV8nV9RA+kBVyjp2uVyztv+tEN29NVVPrvoJmzZtyrluR0cHbW1tnHTSSc538Xico446Cl3Xufrqq/nYxz42p+PCASi6qfnu50JqFL+npydnZtfuhHtlH+fll18mHo+zbNmyWSMestE0DcOyuGJHD78ZDmV0hd0K/FvnEHd1DpKwBRUulbLiOvSwwulDEzw3EeWPI5PYgPJqOxW6zj0rG1gd9OY7XAapeNOXXnqJxYsXs3btWg7uGsEdNxhImKgKBDWNjrjBpEiWY9zaN0ZcCD5cWcJ/do/QZ5j4VBW3An+bjBFQVbyqSkBViQNuVcGlqugS1KmJJSdtm9V+D89ISaPX5QhOS9ygK2FyqN/DP1VkDrAscun4NI11XjemlIyZNgf7PawJenljaAKFZGhYmctFZbHGqJFA0XVUKZkUEgksUhXKFEkoHOGlyVGMdpNDvG7Kit4UoD05BfumyRhPj0cZNE2emoghgCJNxaPAqCWI2AIBeBX4fG05n6uZW3nAuVjW6SFcixe/OY9GepHw7NksZiqgvtDohd1hvlP1zFV051M/4cEHH+TMM8/MEP/Ozk5qa2tpbW3lpJNO4rDDDqO5uXlOxz7gRHcupFJ1+/r6qK2tzRv/uruFYlLhZfF4nFWrVjkzQcwXTdP4VVTw+8TkNN+jJcEQgpiigKIybgHhOCWayouhqJPlBck/BkyLM19t57EjltHkyx96JKWkr6+P9vZ2hBCsWrXKGXxY6feyLZpgud+LIQWtMQNVgSZdxaMma+T+cTTMhytL2BaNU+92gYAR2yIhJB2GyRkVRQRUlUHLYtIWLHVrGLagO6qgJEwWuTWOLw3wQjhOS9yg0qVTpKvUunUuWFTKmqCXXsPiqYkQLgUOD/j4p/IAr0Ti9BvJF2W9x8U/lQcp1jXOqyrhhXAcFXhvsZ/fD09QicRWFIZsgSIhDli2JKjrdEjYjM4fdYVjvG6+4tOJRCJOdlV2XO1sE03mEt3fjUxyfecwcSFIyKRrw68qDEyFsaWKrQMYEn7cP85BPjfvL529FOjuuDPmkgadXkDd7XYTDAaJRqPEYjE8Hs8+s3jnI7qhUGjONW3z1VXIxYMPPjgtSSK17rJlyzjhhBN46aWX3pmimz6FeXr3Ox8L9W1NTEzQ0tKCEILm5mZisRhlZWUL3p+qqmw2c7x9p2JhUZRpsaaTtkDCNJEGSEjJb4Ym+NKSqmnLUn7ttrY2ysvLWbNmDbt27XKu02PDIZ4ZD6MgeSUcwwZKdY1+w+TvoRhrin2ELcG4ZXN/3wgRWzBiWPgVSZmq4kHyycoiTiwNoqLwQjiGQLJlMoEQgrhUqRCCs6rKCGoqX6gp4zvdIwwZFhI4b1EJxxT72B5N8P91jTBmWvSZFioKRxV5+XJdOREhkRIO8bvxTgnPwX4PB/vfDGdaG3DzpynbN6goxKREIenX3ZF4s3czJiRPhxIcUxLk3KZq5/v0GNLU/F3Z1mDqf13Xc4ruv/eOIkgOFhoyaWlHxJu/WPrwqyQZ6fHCZIyTSvz8eTzKzliCRq+bU8sC01wPeyOSIF8adCqSYnBw0CktmvIpp1vGuSqT7S6WZWVU1JuJ+Vi6a9euZefOnbS1tVFXV8eDDz7Iz3/+82nrbd++nbGxMY499ljnu7GxMfx+Px6Ph+HhYf76179y5ZVXzu2EOABFN5ewxeNx2traGBsb22tTmMOb0+4oisKyZcucHzgVq7tblgeC5IxfOBEDKEpOUYU3fa2pLnX2MktmynR6Ld7S0lKOPPJI52ZOWfxDhsWjIyFqvC4aFDcxEWHUsFkV8BIXggnL5rVwnLAtOCzg5TfDk4Qsm4GEiSUFXhSWu1Wa7GTM8PvLAhwW8PDwyCSqkqDO42IiHqMlbvLEaIQzq4pZ7Na5tWkRw6aNS0nW55VS8ovhEEJKhi2Bd6oATnvc5Ie9Y3xv2eJZ/Z+HB7x8TDX4meoFUimzEsOefkWjwK+HQ5y7+M0HNl8MaXodhvRQLsuySCQSmKbpCFBcJIUeJffLMeP3AVwKLHbpfLtrhIdHJ0kIiQp8v1vjpBI/F1WXUjflgxZC7JO50xRFcWr2ulwuZ1A4Ow06vTKZz+fLEOPdSYOej0/XNM05xxHrus4dd9zBKaecgm3bbNiwgdWrV3Pttddy1FFHcfrppwPJAbSzzz47o/3btm3jkksucZ6bq6++Ou8AXM5jz3nN/ZBoNEprayuTk5M0NTWxYsWKBf24sw2CjI6O0tLSgq7rOafdScXqzvYQjJkWt3YOsT2aYKXfw1eWLKLUpSGl5KNGiBfUElDUpODOEZ+SnAss43wApqpzpWaZaG1tpaSkZFotXngzeiEqBCpkpODaSEZMi+U+Dz0JE68CDR4PqgJhwySaSFACVHndeICgsLm9c5Aj2jo4WBgEfD46FT9uNISqAxKfqtCWeDNaQ1cU+g2LpyYiSKDWpTNpiylLUKIrKpaUeFWVIdPmvoFxdsSSc5+dU1VM/ZQQmUIybifF2w8crto0N1Rya88I3QlrahYLmVMAuw0bUyRTi2fC5XJRVlY2LZRr27Ztzsy1rUPD9McSvAs3zyleZNoEmblekjD1opxKdf6vkUlUku6HsJCEDYv7h0I8OBzi0ICXQ3xuPm7Z1Pj2rX81/TnJVyZSCDEtDToejzuDfXN116SYb1nH+XDaaadx2mmnZXx34403Zny+/vrrp233nve8h1dffXXex0txwImuoihMTk7S2trqDFytXr16wW/SXNOXQ+YcZx6PhxUrVuSd7HG25IZXwzGu3NXLjpiBAhRrGq2xBNsicW72WQwNDFCL5LplNdzQPkgi7QbK95BqQImucVFNGT/uGSYs3lxfBfoN0xHboqIijjjiCAbQeDFu0qSYjsUEyWsqRHKWBr+qMmbalOrJIuOTtqAzZiCU5H5RFF6LxBgxbRQkmqLh1VRKPG4GEiY7bRUVN6+6vZxSHuTzZV6WD4zzeiiOHo9jWMmYyiPiCl0ySjAYJOT2snE8ymK3jktR6DdMSjWVnUJgSVCm/O4+VaE9bvDzQZNaj4tB0+KmzmG+07QIFXhoOMSwaSOBd/t0yqTCU6EYLkUBktO1L3FrdBl2RtfeT3I6obneQaaQ/KR/nM3hGDVunctry9E0jdLSUv5iqnx3XILLj1tRaFZhayJ1NIlLCgwlJZaZYhxQFb7bM4oAIkJgpv3wFkn//suROG9EEzyvSO4u2ve1bWdjIWnQ6VZxKpIixXx8urDnaunuTQ440ZVS0t7eTn19/YIHrtJJRTCkRDeVONHW1obP55vTHGczpQIPGxYbtnUTtm3sqcIrIdumFNg1GWUgEODYo4/mxRf/zqQt0BUySilmC27qbP2qSrPPzWX1lfxtIsJzoaizvg2IoUEGEy7e9a534ff7ua9vlNu7h9GVZKHxa5sWc3plMsg81U3yaSr/2lDJT3tH6U1YqMDxpQGGTQsNhb6ECVaCsAAXKgYKLpJFcTrjFqOGhaIkkw5UFH4/OsnpFUWcs7SG/p5RXg3HiUTCHFtVwdklbsxoMvX1lcko/baG1NVkN9btJuBy85nFpdw3OEFXwiKgwtZoAkNITE0lHDM4xOcmIiXbYwY9CZMxS1DrcSGkZFM4QVBq7IoZLPW60RSFjrhJWEgO9bvYETNJyOTLywaKdRVTzu2BuK5ziD+NRRAS/kGcjeMRzlJhvWHzra4RJsWbfY0+oMatISUMmDaGkt1VTq6rSVCFIC4UjKkZknMiQVdhWEi2mYK6ObR3f2AhadDBYJBIJEIsFsPtds8ovvF4fI+mKO9NDjjRVRSFd73rXXtsao5U0Ru3251hGR522GFzLog8Uyrwq5E4Eome5tczhUSoCi63i8a6WnRd5x9S5f7+MRa7dYSQdEwNLGWT+q7cpXHHwXVoikJoKkMrqcjJNbZ7i1i9uplh06YzEuf27mFU3hTtG9sGOLE0SJGuZURxLPG6uWFZNaYQ3NwxSLVbR1g2IyMjtBmCJr+HkAUJIdCFZJFbx5LQ4FYZs1QW6yq+qUpfkyI5BfrBPjdX1lfQGzfYunWQDy45JJlYUZoUfU/cpG1ogsUaGAmDgVgcfzRC1VAXXwH+6gryN9uNoUBIVbCkxK+qtCdMlnhcuBWFPsNKWueAqihoEsalikCyI2YggQqXRkIIrqqv4rlQlF+PhJAoLNY1qlwafw3F+EDZzC/YuC14bDSMPnWlY0ISFZL70Hi0Z9wR3PTfKmwJgrqGR0nO25bJlBtIAbdLx7IFUkiM1NbO75pczwJskZydo90SmELiUvd/6y4fs6VBDw0NMTg4SHt7u5MGnR3WpqrqAVNhDA5A0d3TaJrGwMAAg4ODlJSUcMQRR8x5Qsn0feSzdIs0FUMIwrbMGCCLonBikZ8lnmRQegv6VPaViqYp1LtddBmm49tLhYaVaApVLp0R0+aMV9vxqiq9ieScDurUEyqAbXGTQ/62HVUBr5psQ6rsYcraHTFtR3RtIdgcitKTMFns1llb7Ge118VTvYP4ElG8JWU06ApC06hWbToTJj5VocHrxpZwZX05X28bYMKy0aVMTsGuKtRMpdgaUuJVFUqRTiZbiiUenaOKfPwjHEdze1jk83FGRTHlrqTr55mOQZbE4vTHbUqExYhUkMIGFCo1SZ0Zp0ZXaTFspLTpSJhMGBZrFMEbQhITkiJNISwkzT4PfwvHUBSF40oCFE8lVAyZFsOzxGwLKflS60BGBILCmy6dbiu3IRASksjUS1SFnNXbbKDPTNaoKNM1olbSTZLt85BIJkXy69uHIjwy2sqPGkqpLJqbj3Sh7OupelJp0KnBu1Qb0ifcTM3x9sgjj/D3v/+dcDjMr371Kw499FCam5tntIxnq7tw77338tWvfpW6umRf4rLLLuPiiy8G4L777uOmm24C4JprruHCCy+c17kdkKKbb3K4+SCEoK+vj8HBwZyTPc6HXEkW2yJx2sIxtOEBKi2TkKI7N61O8sFrjyX4xGvtfHnJIsqnRthTN7eNpFzXiNgCW8o0C9eFRTKzzL/fXAAAIABJREFUyRCCMmmTdASASHtCJcnQMUUC0p6KExUU6RqGkPg0xak5oCgKj08avBEdw6dqRC2L5zq6OHJyhGMX1THoqaBU1/lUiZ8HB8dpiSYo1lT8moZfU/nU4jJW+N18s76CW3pHGTcFxbrKh8uDNPvc7Igm+NN4FFsIRnGzzLSocr156ymKwomlAd4V8GBIKJ+KB4apAH+vB7fbzWsiDLjATp7pUR6NzwdgdKCfReEIzwg321Q3Pk2nTlfoEgrvL/Hxq5EwCaGw3OfmYK8bDVjud7Nz1CCoqQggZkuavTOXVPxJ/zh/nsgsBSRJuigizByhkHol+xSw5ZtTH6XqUqTC/2ySiSPpMbzpKChOjyaGwhs2nP3/s/fmYZZV5b3/Z+3pzDVPXVVdPTM3MtjQ6FURBBSVxBFxQB+9/IzG+8uNAxiJxiQa8RKjwYkk4uwViETBxKAiyiQBGxsEGuiurq55rjrzOXtc6/fHPufUqbGrGhz63t/7PDxFV52zz9r77P1d73rX9/1+h9Kcq6boky4v1CWp1HJK27ON35cpZX2sZrh5xhlncPvtt/Pd736XAwcOcOutt/Le976Xl7zkJSseZz26CwCXX345X/jCFxb9bn5+nr/+679m3759CCE4++yzueyyy9bND4bjFHSfTVRbgoeGhmhra6Onp4empqZjBlxYnuneODzNP43N4ckAT+jsSCRIOR6GCK3Ay4GkKBX9tkegFG99cpgrgVMTUZ4u2mgCErrGl0/cxGeGZ3k4X8JUipgeNibM2l7I/1SQiEaJuT7eKk0eioUlbUEqpB/QYOi8srWBH87luKQlRRHBfttjZ1OcTCaDWyzwTCLFW87ew0uXANGf9rTy+dFZHKUoBpJGQ8eraBg/LxXjH7d3MeX6RHWNbVGToh/w7ekstlREdYGr4D/mC1zSlGDM9Wk0dHZGw2y/1Vz5drygKc4dcwWen4ryeNEhqRu8tjXF69oaFi2th6cydJccooGHdGyGPA9/bJizhYFjWMQdiynpc3lHE6c2JJj3Ah7Ml9GAVzQneP4KXXxpz+cDR6Z5puySqWzSLY2N9DTWlxc0FsC2PhwFEagSCPEqr7FEWMvPVjja1ZhUgtuJoGkRnkxFua49TqFQWERpq7cWOhZO7R8C6K4WVVWy3bt389GPfvSor9+o7kJ9/PjHP+aiiy6qSb9edNFF3HnnnVxxxRXrH++6X/kHFMeyzFlq9rhnzx4sy2JwcPBZtwIbhoHruriuy8OHj/CFeR8pNIqVTZMnSw5AraZaheegok3rK8X3iPH1nlaGHZdG3eDMVJRm0+Bbp/YBMOf5XPGbIwyUbHzCjKctFm4Q+YCBQrK8iWLROAGpoBBIvjOVQQO+ODrLdU0mjm1zeDTPkUgCN9aIE8BP0wXe2rXQ9KGU4obROQYqG1eOVMzMFzhSdsm1N3BxU5wOy6CjTrXr4bxNv+3SaRqUPcU8On7B5u5MsbLUFlzYFOfKjsZl36tSikIg6YtYvKWjkUnX483tjeyIWivWMWO6RtQyaTWj+H6MMdvlzF1beUvU5MHZDOmyTZdro470c6cXoBkWr4rFOKkxQZO1vOHAk4pXPDnCvB9e1fWurVYrIdTHFksnQJD1A6ICZpbwhwNCZ2MFNGsghMa7upoYKDncNr+y1rEE7s7ZDGxq4ezNiyltq3FqqzY61Xbh1dwsfh8twBt1jXiudRduu+027r33Xk444QQ++9nPsnnz5hXfOzY2tu5xwnEKuhuJev2Frq6uZWaPz4X+QrXLa2xsjIG2bopCrvjQSRayF6jUaZVCq2ywXPX0CFFNY1vU4oYTF/als9ksjx3qp+xFaTYMLF1j2g0YczyaDR1LE5Tk2hNRyL8NSw5+oIjrYQV43Pa4fiyHaRg8aiZwJOgyoMfSeSBb4uyGOKdUhMlzgWTEcdEJ6UsNhk45CIXFf5opcnFTHFtKxittut2WEdqjV+x3oppgTMEjBZtT4xHiho5Uip9livy3hjg76tqWZz2fvx2a4YjjERWCq7qauahlbTW4vQ1xBqazjLs+nu8TFXBaPEKDofOK7oXuvAeyJfZliqhA4nguM0WHMzIZSqUSUsoan/QuaTLny1Vpe6tFde8rKcJJpbgCeJwQs/jSrrCV9FtTGf52ZG7xZwho0jUCQs2JAdvjC+NpOkzjqGO5M13gzGS0Vjtfi1Nb7brLZrOMjY2t6GaRTCZ/Z1q69bGR7HojrhHr0V149atfzRVXXEEkEuHGG2/k7W9/O3ffffeGNBtWi+MSdNdzklWt2bGxsTX1F0zTxHGcYxqH67ocOXKEyclJovEE/X27uGF0btUspzrqKk0JQiAWCnxCFkI+kMx5AZ8anOJjnSkOHurnkUDwVLIVuxhuclW5vuOuz4XNSZoNnS+OzS6qAQogWUlM8pKK4274b02ED5wnJY7QeEKPESgIAkVEgKEJ5n2JZrs8kivWQDeqCQwEZSqbghUKnC4EGvBowebOdAFFaA7ZZGiYAnZFTQYrrbcBoZxileGgCYFWZWBUQinFR47M8KtCGSlD0YJPj86yNWaxaw09iU2Wwds7G+kve0jfZSAt+dZ0FkMILmlOsDVqUQokP8sU2WQZlQ1Fi4OuzyVbN9NqGjVyf6FQYHy6QO0ka7fc0e+9qAi1FEoKzFUg8uUtC9SpGS+g3dTxAkm6skkXKJitAP6cH3IZhIIx5+gSoLfO5hmwfb60s4vIGsyG1TzNqjSuQqFQo086TtjG3d/fXwPieDz+WwXijeou7Ny5c12vXY/uQn3N+KqrruKaa66pvfcXv/jFoveef/756/rcahyXoLtWVMVuJicn6enpOar+wrFkulU79rm5ObZs2cLpp5/Oh/oneGhklvwqRo6wsFFSDa3uZzULFkLgScXdMxmuyE1yV0MH/5l3KBdd5r2wa2pz1MKWikIQcH+mUCsr6FQAVYXA+b9P3cJVz4ySr2SeVezQlESi4QkNAUQ0Qa6iwmWrkBalBVAIAu7NFDkjFWd3MkZE07hyUzP/VJlY5n2fTsuk5Ps0uTZfzubIaTopy+D0ZJxcIOk0NXKBxskxi1Kg6BA+TjzKpOvTZuqUZNj83BtZuBXTvuSRQhklFaYu8KViwg14OFdeE3QB2kyDNtPgoXmPO6RJR8lFothfsPlIXxsNdQyOec/nyZLLuOtRCiRvbG/g+akYeSPCh9IZHnMBBGoZbq1A56r8v05Y4+0wdbLVe0EuBt52Q+OyOgW17VETTbGoKUaxsMFW/7v13KmOVPy6UOY701ne2bVx+5qVaFxzc3PMzMzQ3NxMsVhkZGRk0crgt+F+/NtSGFuP7sLExASbNm0C4I477qgxKC655BI+8pGPkE6nAfjJT37Cpz71qfWeEvB/EOjWi91s3ryZvXv3rmsW3gjo1tvubN26tWbHftfEDHd5ITtgvctQAUQERCp0Lk+FgGeo8BgRw2DH6WfwgccHadR1mnQdRyrygWTK88n7AY26RpMZiq3MOQoHQVTTkErx37tbSRk6hUBiVoBYoIggOKcxwSMFBxFIGnQNTy6Mu/ozAGKaRt6T3JcpsjsZ0uhe1JRkS9Ti6aLN4/kybjZNJJcj19AS6u+6HhRLPJTPs1MExCImL0zFmTMiNKbieFMOJ/e28PnxNAO2S0rX+J/dLYvYDIGS+ErhC3AqtU4JHC6tf0Vyd65MDEWLGd4Dk67PQ7kyr21L0WkZPFawOVCyyQaSiBDYUvJvc3lcpfiTQ5OUV1hGLtRqBfU/Fv6u0FR4rcueR1xoWJrAZqHGGxWCVy4pk7yqNcVXJrNM+wtT8molDQF0mjpTrl+bDOo35ETls8pScajsrnCEYwspJZZl0drauigLVEqtarte32W21M9sPREEwYYy3fWC7np0F2644QbuuOMODMOgpaWFr3/96wC0tLTw0Y9+lD179gDwsY99bN1+irXP39Cr/0CifhatLvFnZ2ePSexmox5nW7cut9351Hh2VbCtH0lVzs8SoQV5uZJVKqC6fvQRWAIu62jCUbLGAxVCsCVqMeX5/FFbA/dlFkhKQgiSwB+1pTi3OcW2mMXpyRhP5EsUA1mnNiCI6BpX9bRxarbED2ayTLr+qtlToBRzK/CPe0wdmZ8nPjpKX18f7s6t3DGbJRUEZMouDUkNLZA0RE3OiOp0eTaNxRz56THsYpGxA0/ytkSCSEOCpmSSxBIX32bToM3UGXWDGqDowCF7/aC7FLRyfsB92RK+VMQE/KZok6tMOpsjJhNuwDZd40vj6RUBN1HRuBCE5YNlTQ4inKTsanlACBzAkJIoipIKnYxP0xVv1l1yuRyJRAJd1zGEIKELuk2daT9AquVZbm0cuuBLO7p461MjlEICGSZhBlwF9mqWfEriuevQWq2+KoRYte13JT+zoxlu1kd9p+jRYqPNEUfTXfjUpz61agb7zne+k3e+853r/qylcVyCLoRtf4ODgzWzx2rWudFYK9N1HIeBgQHS6fSKYAvwRL5Mf6XOVv+QGITLdk8pfEUd7IUbIyO1Jb9a+EMlddoStfizze1ENcHOeMhzTWgaZSnZHDH5883txHSN709nMYUiqPRcXNQY56Xt4Y03NzfHx58Zq4xkYczdps6nh2eYdn2mXb+u3LGocAlAJlAkAsl5jWFnnpSSsbExBoeHSXZ2cdLzz6ElYlKWiqgISxQGcKDksj1q8tKmFGckF++GP/TQQ5x00kkUCgUKhQLDw8O1nfT6rOitrSn+cSKD0sKJqsfU0TV9EUnflpJnSi7FQNIbNemr05O4qCHKr2YFjxVsZj2fjC/pMD0eKYRaDC1mmIWW6lgDjlQUVqHeldVCLd5T8Lb2Bm6dzSNRNY2EUkUVbHvE4NyGGPflQt3jDsCTAWOuT2/M4p6ixznZMUqlYs3fLCrjoMLuuNEKNa064crKz5gmuOXEbj4xPEep2slGyPlVhCpl1dNJaIJ2Q+fpksNJ8WcPvhuljK2m2VvtNFuL0lYVkt9oeWEjXNnfZxyXoFt1OlgNCDcSK4FuvVTk0dTL3nRgeMXfB4BQite2N/JfuRLDtler6Y65PgpVo0yFoWolhzd3NhGv1B6v39HNZ0dmOFC0OTkR5YN9IeC+p7uVrBfwi0wBQwjeYEr2JCzS6TSPHurnayrG/so2TrVlVQHNhsaEG7ZTaAIMFWrMrnYOmyIGTxRsfjo6RSI9w4taG5ndcTL7vAAxk2WLZXBpWyNnJiN8biSPI6Hb1IhrgmdKZX6aKVAKJLsTEc5KxRgWBs+ky9yfdZjxoNNq4oSuDjwJKRXwPOXxnyNzPOoFKCUwJQh0pp2ADt3jUKmMi4YpNB7MFZnzfJKGzq8KNhc3Jzi5AjAnRC22CMm8oTHqSJK6hi40DCUpBAFGpbRTUJJxxyNp6OyOR0i7K0/AkoVM0ge+N5fn9lN6uPLgBLNeUMusDQFv6mjkpJjFfblyuNstBEccH1vBD/IuPxLQYyXY09bKOzsb2aQC/mQ+y0enS4xJH6WoyXpqwA5T56REhD/rbWXY8fhVwV40tuq0UQX/uAhbhT94ZApfhQyOr5ywiSbj2De9pJTPSZPFaoab9ZS2mZkZyuVyLTOGhQl5NUrb8QS64ihcuI0wZX5nUW0HfC6K9UopHnzwQV7wghcsA9uurq41P6McBJz00MHqkViaKQrg41s7+HW+zJ3zBRQqbCQALEQoTMPCRY4CvTGL20/fSnJJVhEoxQ9msgzaLicnoryiJRWqg1XEuffv34/ruphmhGtIMuj6i1SqqhzhhK5RCiSWJnCkqvv85eMHSADPxyarRynoeoUjDDFdZ84LKAQBZl25BEKQrxpB6pUjRzXBzqhFuZBn0oyQD1RtItCBNkMnrgvmPJ+iXFgi14eGRFeQJGRdOGjohF1eHREdW4abUntTMbRActfkLHs627htLh9S9YSAikZvk6GBgJIv2ZOKcm4qzg3j88tkMlcLE/jk1g7+rrp5WsnAJfDq5gQHyy6DTji5JnSNeX95vV8QOkl8/5RetkUtJl2fCx4fWvS9AbzSlFwZ5PF9n7uMJN+UEYJqS/kqsZQrvCtqcsepmxfJdm4kBgcHicfji0oIv+0YGhpCKUU0Gq0B8lJlMsMw0HWd1772tezfv/8PSWVs1YEcl5kuPHcSblVZw6eeempdmW19lNdgKgBYQnCg5DJUdpBK4lPNZxfaQCH8dvZa8LLGBG/e3ktMExwsORQDyfaYRYOu8e6nR/lltki5omnwUEcTf729i2KhQH9/f+g8vGMH1+Ykh5a0qsLCEpWK+I5dAdy1Q1EE7iOKDIC6+q5GmN3phGBbrVdXd9jriU1xLZRVHLBddKFjB6pW665OPLZSNAmtpiuwUkg0pIASWij8AuhI8gqyJYmhwZzr88ucjSEAdJ6czuJWxmdW/nMJv7tmXRBogjHH53/l5le9HgbLWQOmAEdJzmuIcXemhFdJXiwheCBfpknXOSFqMur6GAgiItwoXXx1w5LEt6ezfLSvPRQXWgH0zVQDZ23fFbr+zue4+cgs5eoR6utWdVdu6bn02x53zhd4VevK8qRHi9+XKWVDQ8MibjGEtd6qkPxjjz3GJz7xCUZGRrj00kvZvXs3r3zlK1dtAYaj6y78wz/8A1/5ylcwDIP29na++tWvsmXLFiAsm+zevRuAvr4+7rjjjg2f13EJus8V4Nq2zcDAAKVSiZ07d25YBD1pGCQ0sUgApRqmCDuKZCZNn+twQERZaVFRXfoPB3BpwiCqCf5uaJp7MgV0BDFN46ruFn6ZLWHLsJHClorvTqW5IDdF3HPZuXMnU1NT/NwTPJIvL/sMAbSbOhlfUgoUTYbGrL8W5C56kldt9KgX4hEszpUX/U6AkKEgeq3qvmSnSxEKyiwdwUrhUqHXEQIxhIOJVPhyAWAqiZCSUuV7MNBwCbNvDSgqyFcEauaCtTdSfRbquVUBIlvBx4dmaTM1TotbPFawMbVwEzQbSHKBRFXAXhch2K/ESFCEtWQINZBXutYjtsdtMzn+qC3FS1obubLsc9NEGr+mw7D0iCzjFivgi+Pzzwp0/1BMKQ3DqNkK9fT0cPHFF/OiF72Im266iccff3zNMsh6dBfOPPNM9u3bRzwe58tf/jJXX301t9xyCxC6Yjz66KPP6rx+t1fxOYxnA7y2bXPgwAH2799PS0sLiUSCzs7ODR/T0gRXr+BDBqArhSYDHpYaj0eSxOtu2PpPqWZsYwH8w2yJB7JFfpEu0KzrNBo6ZSn55NA0tgy73MKeBIVQisbOLvbs2UNzczO6rjPi+JRXSpWAvB/gKoUPawBuPfHo6Neimj1X31V/q1dBRgB2EG77t5o6KSSWxqId+nCZDb5Sq+oRrDTSaqYNVVaBQFZwSNd00MLaryU0dpgCA4VAYsgqs3n91TMFNOgau6JGOIkQPjxznuSw7fEZMvRaBu2mgUbYHOERfreugpShc2rMIl5pJKlGVAgubU7wV0MzXPD48IojmvECbpxMc/3oHHMVuuAuPFYmYFWuuhAs/h4V/Y7Hjx7ex+OPP87AwADT09OUSqV1tdv+PjLd9W6kVaVZu7u7ueSSS3jhC1+46mvrdRcsy6rpLtTHS1/60pqs6969exkdHX12J7IkjstM91ijXC5z5MgRstks27Ztq/k9VR1xj+WmevumFh7J2/xkLoMQIUc2QOJXRL51Jdhm6NhSkQ8qNU7BsrodwPcLHh3ZUghmlQlgzvOZrgmtqMqSWtARMTmta6G+pmkauyxtxYdWsZKO65JXVFPSdUYVdDTAYjHoRjVBp6kTKEnaDzUhdsZM3tCaYnJwgKmWFh7Kl8n7kmZDY2vERIqwseFE1+fRksO8L2ubV9UpwqCuoaSyU29UBiNU6LZQFYrXCZsuXCCpa6QsE+U56AjipiCzSOtg9WV6/TV8SUOUQCoO235tYtAqG15HKiyRRkNj3g9wlkxsuUDyrRO72RIx+dpUln+dzRHRBO/vaeXhgs292RIrKUN2mzptloFUirvTRX44l2felwRio/5o4TndEOvgtu2ttfbfevfjevbAUgeHP+Q24Gw2u4wlsVqsV3ehGjfddBOveMUrav+2bZvnP//5GIbBhz/8Yf74j/94XZ9bH8ct6G5E3rFcLjMwMEAul2P79u01sK3GUveIjY7j+i2tbJ0cZr8RZb8WJVBVqUUoBZIpL6DNMilLiSnCXC7ty2V1wmrFVCPM+nSoAa6OqlRRw2X0NVs6Fm2KPO0GfC23UTJ8HdKI9V1LkzAr7YuYnJiI1cZ5RsJiWyTM9DotE0OEnOCl8fCgxzlbFyaLgyWXGyfnyfiSmKaxpSEKmkazrtFhGTQYYdfcz9JFBOCjODke4Q1tKSZcyYjr0mbo3DGbY3/RBWSl5KAwUcRMHUOErg0tukYmqFgAUZ/nHn2ZroB/T5dqHWdQmQyUQgSKLgJimqAUSDpNg3nfrR4ZCCeIhK4hhOCdXU2LOsVumsyQXGXpPu4FmITWTLOuT+Eo38/RYsDxmNBMdra3096+sEqr8mqr7IGqg0PVfr1YLGLbNrFY7HdWZlhvpruRbrSNaCd8+9vfZt++fdxzzz213w0PD9Pd3c3AwAAXXHABu3fvXrf1ejWOW9BdTywF21NOOWXFC1wF3Y3afVQbM+bm5thrKJ5uakYrOGgyJIL5qtodJHGkZE9DgvObEvxXrsQzJZuD5cV99AL4wUwo2KIBDQJAoSHCcVful7JUfKh/HD8I+PZUmn0F5xhoJovZChrQaxmMr9EsERNwdirO7mQUvSLFqBTkfY8dhQzJuTJWKoWXTBJJJikHcMR28VTYFquAeaHjSYUQ8FC2yIeHZpEqpMqlvQBNwHmpKNOeZMz1uKy1mc0Rk1MTUUYcl07T5OS4RcaXnJk0ebERZ9r1+f5cgYtbEmgVRseY7fJWu8jJJ2/n7kwRiWJvMso3pnPcMV+olSZWr+aKRT+qV8xfAsZUWCifV3FOMQVPlXxMFCkttF13Vcivvawluajrrj5aDI0RxyOla4s0KKox5AXgre7BBwsrgOpkslYB6bvTWT66ZXFZbCVebdV+vQrEExMTDAwMAOtXJ3s2sRHQXW9jxHp0FwDuuusuPvnJT3LPPfcswoXqa7dv387555/P/v37/+8B3TWpXOUyhw8fJp/Ps2PHjlXBthob1V9wXZfBwUFmZmZq7cCPPvYbniq55CsdZtVqWvj/AkMTfGBzGz+az3Ow7Na0EuofpQgw5YWAGyhFmlBgxmdx+75GuOv9Z4cn1z3mWtSoRuH10Kk0cqCIaBraSrs9lfAU9EQM3tndiisV+/NF5mZm2ZqeoadnE/GWJorFIlNTUxzoP8x90sA1TQwzwpAw2JGIUlAmo1NpfAW3zeYpB5JW0yBAMe75tBs6W6IRTkloTLgeZRlSsc5KRumLGNw4Ps/HhsokdY1O0+CqriY2RcxanRUWfuYR3D6fp1yhp92Xt7l6cxt7UlG+PpXDQDLnhSJDOalW9yVbFMvB2ADGhMF4poQSoCHYpglOTVi0xyxOTyV4RcUGKFCKJ4oOjlKcFo8w5vrcnyuRC0I2iSXCGvBGo1ruiFbGtpQpUR+PFJZvtq54pmK5/XrVyLUqClSvTmYYxiIgfi4E1NcD5BtRGFuP7sL+/ft597vfzZ133rmIIpdOp4nH40QiEWZnZ3nggQe4+uqrN3ZCHMegu1JULdkLhcKGXILXC7qe5zE4OMj09DRbtmxZ1HJ8nzKY9pb3d52csHhPdxvnNMZRCn46X6DV0NGEQYthMGy7vLKtgTM1n/eP5RASlKhuhNSJ1FBpuGBlR4GjRgVshRDEBZzXmOCBipnlq1obOHlmhO+I6JoPfE/E4HUdTaAU/uwULUNDnNLVxZZz94RCPZ5Xu/mfLjm0ZIu0CziQK+KVXcbm52lzbH46NkWvrqOhIxUUg9A2KJDhRp9VOXepQgUzCDWAPzUyy3/lbSJCMOdJDAJumsryya3tbItaDJRdUoZGzpdstwwmSqFWcXfEIFDwq3yZQXuWZkOnL6IT0yz6ooqfZgprAu4a8xBQzZZF+L1R0YmQcLjgECmUedv0BN1Rg3gywUcKgkOeDGvLeih3mQvqbOGPAXCrWbsiFDoK2RWrH2jI9shVxOzXG1LK2r1er6vQ2dlZe43nebUSxeTkJIVCodZtVg/E8Xj8Oc2KN9IYsR7dhQ996EMUCgXe8IY3AAvUsKeeeop3v/vdNU/BD3/4w+sSPl82hg2/4w8wjhVsq3E00PU8j6GhIaampujr6+P0c87lE0PT3L9/gEZD43/0tvEVR1/U2WUASV1w++7tNcHtIdutdIKF/7Y0jRbToKdc4B/ni7iauWzc1cyzvq9+I2GogEah02Lp/FFXC6YQXNrWQF/Uwqsoi1ma4Jczg/zNtk6uempk1QaBtBfww7EpJjNZCkaUvT07eG1XC4Zh1IwtIWRK3Jctsr/g0Bcx8SNR2gyLuKGhfJfWxgaaBBh5m5SSZHyJ63lIobEj8BjOZjEiEToiETZX1Mf6yy5zXoAlBDFNIFW4Kmg2dXKB5L2bmvnhXJ4hx+PsRJSXxXT+Pp1hKFPG0kLNgqwniccsTCHIB4q89Hmq6NTs65eGAGLAzpjJM2Vv1c691cl3Agedb4gUDyidpoLigBOEJQpFrQmEioaCWPNYC1FdnUhChoQgVE07tyHGX/S2cttsjn+Zyq76flvBhOtvCHTh6FmnaZo1Klc1qt1mVV7t9PQ05XJ5kWbDsQriVCOXy617Iw2Orrtw1113rfi+F7zgBTz++OPHNMb6OG5BVwixCGx37NixYbCtxmqg6/s+Q0NDTE5Osnnz5lpm+4FD4/w8XcDSBNOuzwcOjS/LEH1CUA1QmJW1aIuh01mpmyZ1Qdp2iLkOt7gRGpJJeks24yzOcFdiOVRjaXmiPpoIaNN1DCtGo6kY9SfwAAAgAElEQVRTChSvbGtge2yhPrXUfeGkeJSoHpoirhR5KSnkSkzGGtA1wT3ZMgPONK/paCLj+iSRnJ2K8ZNMEYUgpgsmPB83kDhKcW4sxizh8rk3GeeSeIyfzOeJqtDAc5epE/geUyWH07NpOv0yB0ZDK+6MFYeKd1hJSmypcKRi3PVwA0kyYnJFx0Jd76HZDAelIJABUgmeKXlsjph0WToBMOn5tJs6c2vwlS0R6mAUVbh5V5SSQdvDIywFico1dKVaFZAhBMan3CVqx5VLv/Adqpq2siYW+93VhwH8/aYGvjGVYdowmfV8AgVnJSL84/ZOEnrY5r1adl6t/f6m6HDic6DJcLSoF1BfunFXZVAsFcSpZsRSynUxGLLZLH19fb/tU3nO4rgF3enpaQ4ePPiswLYaS0HX932Gh4cZHx9fUSby3kyRiBaKb+tCkPWCFTdkYprGzVMZruxq5i8HJrl1KkNAuEG2SXmcFrW4eOdm/mkyS0IXdGiKjliUCc9nd9zkJ5nVa2+CkEmweNOkqucAeXTyAQjbhTJsjVqrepBVoyQlpyYs7ssu/dwqYU1wv2ax3dCIaRolqZhwPT47PMPmqInjBzyQL9NhGmyOmDToGkdsl2ngvyWjuEoRCMFFTQkKgSKlafxRawNnJiP8OF0KN5OiMWb8gIcSCc5ORDGV5FQR0GuXaHZtpj3FGDpKQIum8QJL475Mgb6ohVU3iTxWdmkRioaoxbTnY1bofA/mbYZsD18pdscjmJWNt3roNYAWXZAyDWypaDN1/m5rO70Rk1HHIx9ITCHI+AF/MzTDhOuDkjhsMHME9iSjHLRD6yNfKXQtrNcvgKaq27SDBgR5u8yMCp2WN1kGtpS4hOwICN2EV5urdQFJTcNeRdjndxW6rpNKpUilFjdrVDfucrkcnuexf/9+lFLEYrFFJYpoNFp75jOZDKeffvrv4zSOKY5b0G1vb6e5ufk5qQ0ZhoHjOARBwPDwMGNjY/T29q4qgJ7UNYqBxFeSclBt710clgh3rQ+VHP5lbJbvTmWoOm1llKArluBzZ2znmZKDJJSGVEphaYI2XXDvGoBblYfcnYxyQXOS2ybm6PfCtaqsqwVXMycIu8Ea11hOSuDfprNsi0V4ouCQWSIJWY0ZP6BHhn10cU1wsOyxKx6hyzIINBiuCMZ0WQaNhs5piSizfsDr2huYcjx+NCppM3XOTlo0GDqFIGDUCRiw3ZodfTkIeKrkckYySkQ3eNjXuKy7l0/0Cn40X+CudJ5uDfrwkU6Z0VyWB0YHaIlYtQfT8AMCIWqebTo2hx2fdkKReE9Jniza7ElG+GXeXsQFPiEell4+tbWDrVGTlK7VSkJbK0adk67PW58ZpySrBDWN3VGDrRGTH2XL66q7S2Cg7PLPuzrQNYMmXePd/ZM1Hdxq6aE+6W0zBHO5PEGgk8/n0TUNpenkdY1yuUw0GuWtnY38R7pQ83arhgAaNA1L0zi3IbaOEYbxbJ23NxKWZdHS0kIsFiOfz7N79+5Fmr25XI7x8XFs20bXdb72ta8xOzvL1q1b18ViOFoLsOM4XHnllTzyyCO0trZyyy23sHXrViCUe7zpppvQdZ0bbriBSy655JjO8bgFXU3TnrNivKZpzM3NMTExsS63iWu2tHN1/wT5YHX/LF/BqOPxGsvgxtG5OnnzcMyHbZcR2+WkeIRLWlLcOZejrMByPQ47/pobOylN8NWTN3OiJjl48CCPBBb9GIu4tpKwSaHawbZap1o1HEJqW6+hE1cSB0lplYbFgyWHE+NRmnUdQeiFBuFS0hKCXbEIk65PleW2NxljxvX5WbZEEY0Z12fUDYhrgp9nS7gSnio5RIWgM2KS9UNh8YgQJHStYmHksyse4bLWFCUZqobFtIp4j5S8oK0B5bk1ychtmSz3uoLHp2YwdB3NMNipG9gi3JxzFAw6AYVA0mboZIOAlK4RKBi2vdrEttpE9euCHfKna5tnioNOwLdP3sz/EvCf83m+P1cIdXvl6rX4qUDyuqcnOTdu8u1T+nhHRwMfG5pdtnIygKiucd2uTahcjtsn82BZaEqR9X1erEkOHTpUA6NPxpJ8QZg87YVZsy7AFILNUZP397RwQmz9pYX6TbTfVdTTxVbT7PV9n9e85jV8/vOf5/777+fWW2+lqalpVT2E9bQA33TTTTQ3N9Pf38/NN9/MNddcwy233MKBAwe4+eabefLJJxkfH+dlL3sZBw8ePCZu/3ELus9FBEHA6OgoQ0NDmKbJ3r1716S4SKX47lSGu9MFNAEtpkZK18n5knl/sT13qOqlyIwM4xNjKfveU/D50Vn+flcP/6O3lZc2J7j/N4/zJddYE3Bf1pjgk71NTA3287TrsmvXLk7Muvx8bK7SIQWoiuhMBWgNAWenlmc2xUDyy2wxVKxS4GUz7CsUiZgxXLn6Q1ZWsCVq4KgwKxx1PHojJnkvBK6XtyQpBpJiIElVmhx+li6S0jUcQn+3Yc/nx+kSJ8Qi6EDWN9hfdDhThN1bfZEww4SQZmVVHvqIJnhZU4KfZYpk/QBThP+O6BroUaLRKG1tbXR0lIgcHsDt6aVsl4m5Dl9P20wHkkYlcYRBHo3huqJ52ZfohHXWRkPnH8fTfH5H14rOw8mKsadSqrINFn7DliaYcn0QGm9ob+QTW9r56NAs966giVEfD5U8du87zI64RU/EYNjxF91PEvjM1nZ2J6JMF3N8MCn4gTDJ+QEXtyR5Z1dzzQ+tKgjzhUKBX2WLPF12SQUBL4zqNEUFSadIuSwWLdHXit9HN9p6OLqGYXDhhRdy4403cv311y/qNFsp1mO9fvvtt/Pxj38cgNe//vW8733vQynF7bffzpve9CYikQjbtm1j586dPPzww5x33nkbPrfjFnSfTZZbb8fe1dXF6aefztDQ0FG/5H8am+Prk2l0QgqTUNBtWTQaOrlCUBNGiWuCDunhSY2tm3vpmStQKLmL6oYa8KO5PH+5NaDJ1NmdjPFFDHKrpEQC+NzWVnbOTzP41Di7du2q2aaco/J8dSJcNmuVaxO2Iy+89097Fys1zXs+r39iiHnPDx8qleL9EZP7ZCPjtodWaaNdaZmsgMeLDnsbE3hSccQOl8MnxSxe09ZAStdqgFkNQ1SOJcCRklk3CPnLle9xdyIK2HRbBifFLDRgyg2QKLotk546D7WeiMnl7Y3YMuxis1YARQhr56e1pIAUSilGY1m+NpXFBjKLdHOX1E01Qa8hGHY8JjyfTtPgs2Nz3Jcr027q/EVvK+elYuyKWjxTDjm3plC8r7uZI7bHtYPTNQeJVlPn77d3crhk8/8OTDEXrL7isAk79M5JxWpGntWQwL9MZrigOXTmPdHS+dKWrhWPUy8I09tbOUOlatzafD7PxMRELSuub/1diVv7+9JdWO9n5nK5dVHG1tMCXP+aqlfc3NwcY2Nj7N27d9F7N2q9Xo3jFnSPJarOB8PDw3R2dtbs2G3bXhdP95apDE6lv98idMWd9XwSukafqdHmuwwrjYhUEIlyTmOCl3e18u85h2JEMlx5kDTCeq8mRGVDQ2eiZPOfIbV9WVjAl1MQH+ynfcnG4b/PZrlpPM0mU2fUkaR0HYWi4CuMauajFHfMZDk1sXD8L47OMmG7iMrS0REa/+YKNlk6I45XU8haLUqBrIlie0rxosY4L2tYbEiY9QN+lS+TCyTJSovsk8rgR9O58BiVTap202DWC4hqgt6IiSUEOV9yYsykJ2rRXXHurY+IJoho6wcCIQRvbG9gf9Hmx+ni0r/WADcA0hJitotEcuCxx/iEkeIhFVqfD9tw5cFxfnDKZr55Yjf/NpdjwvaITY1xSjzC9SNzuErRUSm5zLg+d6YLvKWjkf86cztDJYdXHRjFZuXwgPFVHH8fKzr4Sh3Tcl8IQTwex4rFKDc006WF9e565996bm0sFiORSJBKpdA07XdeXtiIP1qpVCIWO3qNej0twKu95rmwXq/GcQu6GzlhKSXj4+MMDQ3R0dFRA9tqrKc5QinFrB9QCqobJyF4Nhsa7brGZqfENreItXUHw0pje9TiNR2NRDWN63Zs4s8OjjJaWTJGKrXObVGr9nD+8RNDK36uDnxOzXNK6zY2nbYgPamU4ktjs/zT2DwJXWNH1CTm2OiRGBOut2hpqqBW01VKMTs7y2MTUwRYRIxQNQslyVT8uWD1hoDqVc8EYWtzRNPwZcDE2Dj7DqYXOJeJJL/wAE0joWlMegE6MIJGn6mTME0Olm0eKdhsjZh0mjrnpOJ0WyYKxbTnc3e2yCt1nV5r47dpva1PNSxNo0HXVhSWqY8AGEdjWzTCi0/YzjVPjCCUQlS2Fm3P5+bHn+ZVDRHOTyZx4hGuIcJPx+YqZQFFg65jacvt5bfEI9z/vC3sfWxo1RbkI65PAlg6NSjg+tE5TnR9zolsHASnXZ//OTDFhOsjgVe1JPlgT8sy5996bm2hUCCdTlMoFHjkkUeWieI8F24SK8V6W4CrYLieSWE9LcDV1/T29uL7PtlslpaWlnW3D68njlvQhaOL3kgpmZiYYHBwkPb2dvbs2bMiAVvXdYIVDBjrY8L1MasPsQgbvDTgJKfIXYHOE3oMz4zwDmFwbV1fu1KKTwxO8mTJqdG5PAUXNCW4buem2q741Ep8UaX4UluEi3ctN9v87Mgs/zw+V1Evk8y6PkkE2aKNIQQeIGUoWB7VNC5rayCdTnPo0CFmrBiHtAiOVDiBJCrCc3lRY5zfFB0SmmC2buOt3oUgrgmaTYN5z2e07OLbJWS5zLmb29i+a0ttCXt4eob+gkOTDMhZFpFIhEOaRRJJs6kz5Pm0GDoa8OLGGFtMg+kKY+L+bInHiza6EIy7GV7aFOd1rak1J9pCIHk4XybjB+yKWmxeZetq2guOyiwQhBOjAP6r5GIIQaCBJrTa37d0t9FqKgqFAt+eyjAXKFqKBVqEwRgagyWbnqiJVLB3ST290TR46vk7OG3f4VX5vXbdda+edQB8eyqLAF4U0/ly71FOBHCl4ssT89yVKYWbm0B7RbXs3+cLnJWMcmFTYvH5L+HWNjU1MTs7y7Zt22pZ8dTUFIcPH17WcVb1N3u2m9y+79fkFdcT6/m89bQAX3bZZXzjG9/gvPPO43vf+x4XXHABQgguu+wy3vzmN/P+97+f8fFxDh06xDnnnLPh84LjHHRXC6VUDWxbW1tXBdtqrGszQUGjoZHUwszFDQIEih9Jk6Sp40tFDrhhdJb/nMtx08mb6YtaTLs+P0sXFmVXlhC8u6e1xpuVcomVS1UfQQhefuLKYhpfnZgnqANGH5ivsA2qFj4S2BWL8KcdSbT+pzkCnHzyyXy4fxpXubU+f1vB2SLgQz2t3DiV4Rslh1ZNkK205dY/+AktrBd364K+9BSbWlp45SnbabcMPM+riaY4zS7J+TwdpkFUBuTLJbSCQ9GX9M/OYWs6um6QNHSaZEBeahgirKM+WXKI6Rq9lkGToXNvtsSFTQmaV2ESzHsBfzM8Q3/ZwVHh5TszanBRIDi17nV5P2BilaU7LFgaQWhHBCGYX9XVxD9PZsKauYBO0+CitkZSukZLSwuanCY6m8ZKJJguOXgKpgNJU7HIq2QZ7fA8h+tAqdoG+8Tzd/CWA8M8XFo+pgA4L2kx4IQNIZMVtbmqjtxd5YCPHJni77Z1LntvfXx1Ms0P5wuk9NDYNFCQrNTCfSUZKLvLQHfZWCoC5tUa51pZcb1UZD0QbzQrXm+mu5Ha73pagN/1rnfxtre9jZ07d9LS0sLNN98MwKmnnsob3/hGTjnlFAzD4Itf/OIx17n/jwJdpRSTk5McOXKElpYWzj777A0rh60W3RGDHlPn1/kyLhBCblgnsOs0FwQw5nj8yTOj/Mfp2xiw3ZqUoKhkyI5SlCvk9DHH41DVaLCmlBM++pvW+E5DuhI1psLSckI13kuRttFZtu3aRXNzM7aUTDgepqaFLbWVZfOLhMQScFYyzr/qWSKawHHDsyyrMPMrK5j2JYKAU3XBu8/aTVssrBPXrziGbJd7s0XmvYAniy4tpkaTHqEQMwicgCE9rNH26nCuBROzs1iuw0ki4CkrgZQmnRGTJk2rtcd6a1DefpwuMOx4pHSdIJC4SjLgetwdaJzh+nRYBnOez9emMjxdXhl0GzQoyaoFUOjZJgScHI/w6pYkfRGD+3JlPKkYcT3edXCcN7Y38LrWFGfETX6O4NGSi6sW+LUzRpQrTtuF6Xs1UJqZmaFUKtVA6dMNSf7ME/xmhdbDRwsuf9LdzPdm8yvm7bfNFXhLZxOnrtFZdl+uTFwLJ7SoJigEinKgiAiFjqAvenRd3rXYC2t1nNUD8Uaz4vVu3j3XLcDRaJR//dd/XfG91157Lddee+26P2u1OK5Bt1peUEoxNTXFwMAAzc3NzynYQkiYvuOZAfYVJHYdd7Va96x/IAQQ1zXGHI9CIElqGsmKGWSFmRVyWeMRvjgyw5fH5pCyYgSz5N6bW2Md/Pr2Rr43kw1dWlXIKS0seTIFinSqiUu3n1a7sSNCVJoS5MKXLwQdWvhw9cUs2gydJlOnUdMYsN2Ks3HIRQ1tcgSHpeDPB6b41qlbUEoxYrtMlmwSuuChgk2raRDTNQ7ZOYYLYSaf0nVO1AJOSyV5wvY5NRWjIWqhkLywIU6PqXN6scj4eJpxx8Ep5skpQbehkRstISodTEtlBOf80N031CsGJTSqtpc/zRTQFPwsU6K+3aM+dEJnh5QKqWCegpSh8b5NzeyKhSukS1tSbLJM/vuhCdzKSuJTI3MESnFZKsr9WsBtUq/V+g0RbmAesj3OSi5Q2apRD0ofMz1e72mhur2o3kVQJhzPvLe6Q/Go460Jug2GxpwfEEHQY5n02y6+kuR8eHFjnIuOkuVWx7rRrE7X9VWz4mKxSD6fX6bDkEqlajXj34aW7h9KHNegWw+2jY2NnHXWWUSjKzMAjhZV5aD62mm9Xu5XzVZWkgivl+IThPxOSUhEj+sa2+MRzkjGeLpkY0uJITRe3JTg8PQsXxyZRyHCG3oFKpELlH2f2Ao330e3ddJuGtydKdBm6nywr51L9w/gCag60yZ1nZamxkUAJYTgczu7ec/BUTQUgYA3dDRxaqaMlJJdiRiXdzXxzYk0466HXWmuKFTOsDoPJDR4rGBjV7rHfpUrYsiQmzvmBrywweChvI0hNLosjWk3IOsHZNHYbuhsjWqcGLdoMTR+nLZ5rOgS1wTv6mriQ7uSfH82z4jrca5l8vKEgSiXyOfzjI+P12QEU6kUyWSSHcLiQSHIVyyNHKnotTSmHcGhksuo6/N42SaKqJUQ6q92StfYZJn0l13Sgc8lzQn+YnPbsnLGv83mcaSqUdQ8pbh5Js/LYs2MSbFIlMhR4ASS9x2e5DPbOjivYXF9sh6UenpA23cYuSzhU3xjeBJXGJX6rqj7hJAdfGJsbZGYP93UwtVHpkhX9DR6LYOiVBhC8EjB5uF8mb0Na9dOnyvKWH1WvHQCqhdQP3LkCPl8Htd1aWhoWFaWqY+NaOn+ocRxDbr9/f04jsOZZ555zGBbjSqDwbIsfN9ncHCQqakptmzZwq5du5j41aFlFKpqq21UhDoIgQo3rhTwie1d6EKQ0AWf3rmJG8fmGHVctuuCF2UneCxnYeqR0Al3jaXzhb8+zC/POXH5eIXgfZvbeN/mNqSUjIyM8DI3x73RRjyhYQjosAzOb0ouet8zRZtrDk/USh4f6mvnyk0t/OY3U7USwds3tfJIpsikXd3mWb4znA0UMaH4xOA0SinObYxDIGk1JP22x4jjkfZ8dASaCPmqw46HC3hSIoRgZyzCrbM5Enq4Gsj5ATdNZvnLvjbe0bUke0klF3UjeZ7HbDbHWL5AopjmzLLL/USYEwbdhkYfcIhQXWzeCzBUKEDeqgvmglA7t6rUZQeSRysdZgB3pYsM2R7fOalnEVXNWr4YQUfx5yPz/KruUar/NnN+wJ8enuL2U3rZHFl9KR9jOVsBBC2xKON26B7hVI+uwp+vMXzE1ARzdSpd837AZ8bmOVC08dSCgehZiShnJCJ8ZSpLStcwhcCRko8Pz/KDU3qJrrH7vxH61rHESgLq+/bt44QTTqhtzM7MzCzKipPJJOl0mpGRkf8fdH+XsWvXrkWSgs8mqvoLo6OjTExMLFIVgxUTUSBste0wTV7f0Uhs+DCd207m5ERkkZpXd8Tk5UmTb83MMKoUaksfFzQ08OUnhsImhjUYGGO+5B1PDPH107Ys+1t1w/DIkSPItg72WvDCrZ08ki/TEzH5f3paidc1KQRKcdXTo6FEohZqzX52ZJaXtaRqVvS+7zMwMEB/uryq9WHtmgnBPZkCnlR0mhpbI1bo1RazaDQ0ErrGlBdwetxCIpj2fGxfMONLLm1rpM3QcKWizQqzqAZDZ8L1yfpBjUoHMOX6PJgvU6p0qu1JxXCExv3KpBRvRMUaOSti8L5khLlCkaFcgUw2R95xODwxSVqL4KJTYEGTuNPQcJWiFISbY9VJSCesXw87PkO2x466TPKK9kZ+OF+gFKha99nr2xr46+HlbbuwoIMsCFW91gLd1frVnrSDmnmpWbnmFxs+l3e3c3LcqlG6RkZGcFyXL2gNTGkGSgjGg9CVekc8wuMlh61RE12IGgsnommUpGTOC+hZg4L2+2iOUErV3ClWy4rvvPNOvv/97zM7O0t/fz/Pe97z+OAHP0hLS8tRjz8/P8/ll1/O4OAgW7du5dZbb13WYPHoo4/ynve8h1wuh67rXHvttVx++eUAvOMd7+Cee+6pAf7Xv/51zjjjjHWd23ENutWSwLONIAgol8vs37+fvr6+ZapiAAlDI+8uZhlsjZp8/oQeGg2dLVGLHw0f4mDJ5oFMgQAYtT00JTnByXOvK2iMxzANk8/NFPnLRJL3b27jMyOziFr318osip/nSlzxmyN89/RtwALXtr+/n6amJn6+aRvfnMohRQOR4Rm+dcpmzkotXzLOej7ZIKgtj8P6rOJgyaFNCMbGxpifn6evr48drTEOzhVWGVE1Qm0HVynuzZbpaDUoSUWXZfCK5iQXNyf59nSWAduj4Pucl4qhp8uc0xDlwuYE5Yp2RZXvW5YSXQhSuhaKnEhFMZD8LFMkqWm0GTqDle43VylyQYBXmbCeKrtsi1qUIzGmkzrSjHASszwZb8bJlTCUQioQSEwJeV/iIWjVBfOVW0gRUuI0EZZRlrb/7oxZfOfEHr4xlcFRij9uSfL9ucKa1jjVRUzjkg69eS/gmbKDJQRjZWfVY1QnCYDtUYsv7ewkf/gQW+IL4j7VyPgB80+P0aokR9wgLB9JRa5QRGgaT877+IHAVhoIgacUUU3QZq4NqL+PNmBYmVVUnxVfffXVdHV14TgOb3zjG3nsscfWveK97rrruPDCC/nwhz/Mddddx3XXXcenP/3pRa+Jx+N885vfZNeuXYyPj3P22WdzySWX1GrI119/Pa9//es3fF7HNeg+26jvUNN1nZNOOmnRErY+LmpO8p2pDNXnUENwYjzC6cmQg5nzA/6ZBEG6yJznM+YucAruxaTb1NlRuSGkBz+ez3Pt1k4ua2/klsk0P5zLM1tymF5lrL8s2Lxo30G+v72Ngf5+otEoZ5xxBr/xJF99YrhWa/UCyVueHOapvSctO0aToSMQ+DI0Z3QqG0IPTk6zZ2qKrs5Ozj33XAzD4NKZHA9mS2Qqrrwr5uJKUpQhsDQZYTtuu6XTYRr02y7Nhs57NzVzxHa5eTpLgMBWggHHo6vo8LxklDe1N3DzTA6QaALe1tGILgT/eybHowWbYiCJa1rof4agwzQYdjyUUjxTcjErWJYPJC26Rl4qWgydQqCYloJLmuNM+wGHyw56oIhpGhFDAylJS2gAkkiGFPiIUGJRCs6JG3StYNaZ9wM2V3QhuqxwLF2GxqQf1ICzHip0LbQaekGdqtew4/FXQzOUglAv9jF77cacarbsVaiEq3WkxbRQalQYJlEpKPkBQoNUNErRD9hkCHYph392tHAyEPACU5CemaEhlXrWTILfR2QyGXp6eujt7aW3dx3E5Urcfvvt/OIXvwDg7W9/O+eff/4y0D3hhBNq/9/d3U1HRwczMzPPeuPu/0rQVUoxPj7O4OBgrUNtaGjljrBqfKCvg335MhNuqNXfZGi8f/MCRebxok1eaGzW4cliFXBFbdNm0gvYJUMAkajaEi+l6xQr6VBEh2jAqi2iw67PC56e4DObN/PqzZsAeGBmZhnZvyQVY7ZHzxI6UETT+NvtnVx9aAK3AqOtBPw859DXtgmrqYW/GprBV4qXtyR5XXsTP5jNkvMDfBXWrqUQlGWoPxsIge9LEIITYxE2aYqMVDyYK2NWMqkXNsZ4KGfz66JLg6GRQTD//5H35vFyX3X9//N81tln7r4kN0mT3CRN2jS0aWnLVihWBIRWpVZkU8SCypcviCUC8q0ULCAqfhV/qEVbRTYLAn5BactWWqAppUvarDfL3fe5c2f/bOf8/vjMTOZuyb1pEFtfj8fNcpeZuZ/5nPc5531eS8VjneNySSLC3mSUrVGLnB8w4fh8c67IJ8eyjLs+60wDTYOBqsvGssGFsQhVqYjpGnkvoCwl6w2DAJj3JYfLDptjNjOez6zrMS4Fz9M0dsctCn6AE3igQvaI1DUSQhGYOobQ2KQU876kKiUWipLj8tCBJ7EDn0gkQjKZ5AnN5h8LfoO7fG+uhKcUWy0Ny/eZFAJXweaIGbajBNzcneHVbcmGCAbgzokcrlS0GRo/LJ/J/vw0FDR2KEqpZYuurWn8ZleGOyZzWLUvW0JQlYo2y+S3N3dx69A0XdIhomtoUnJcSr6XK7GzxiTQdb3RM62zCf6ri+5arCTz+Ty7du06+zcuwuTkJD094Rjq6elhamql5U6I/fv34+IiYzIAACAASURBVLrughDK973vfXzwgx/k2muv5SMf+ciqGVPP6KK7VtVLM493sWjibFLgjKnzhYs28v1cCVcpnpuK0dvUo5NBgJKS+fl5hKjnCiyklY05HildRxPw6vbw0OAbs3l+mC+zJWpRlB4ZA445clHhrd+EAgfB7w3n+MBYnq/u3kS3ZSw5jdfqT7wMfrE9zdcmshzJl0hpgu5kkpxU/MitcNdkHqnpWELwVMnhXX3tKBTlQGLrGsfKLgeLFRxUWLhqgyOhKarjY9wNzEi4VFNosShWxOb7rsOjbug2ljZ0ECHXt9Qkjc0YOnN+wJezBTK6zsmqx6QbkPcl0VqhGah4tJrh73ptJs7hisOQ6zJf68leEDF5oujweC0cNC3AVHD3bIFOy2CdHWbYeUriBZKEqfOxTR3Yemjo/YXpPKOu37BynHJ9Zrq6uL4t2SD/f340z7AvG6vEiarL86M6p3yFKSBVW2lPuD6mJnhrd4Zfal/KIZ31A2wNHi5Ul9D86qjfWfVdRoepc1kiwnrLYLYmVlgO17cn6Y9anHI8LBEKl12pyBg6hUAy5HgIIZioSYENwM20cnFX6Ly1nBdDqVTCdV3S6XSjpbFah7JzwVq8JfL5/IoHaS996UuZmFga3vrhD394Ta9nfHyc17/+9dx1112N13X77bfT3d2N67r89m//Nh/96Ef5wAc+sKrHe0YX3dVCKcX09DTHjx8nk8ksy+Ndjf9CytB5xaJBVGcOuCMjtIgElUiCjB8wU5P11ktLRMB1rQlSusFLWxNsjdl4UvFIvoIuwglE0zSkF7AtHuFAqX6a3mR/1YRsIHnBoyfYFjVJAIXa5wUhob9nGb+CSqXCsWPHSJQVLdE43TVhgxd4nPDheBCgi5DNmtZ17skWeHlbiofyZeb9gFIQ4CpFm6kT0QQVX1IOfC4LfHb2raMkNL6fL9OWsDFch3K5wtR8kZIn8TXBhG4QBAFKD9iy6FDpaNnFQGCK0CfCFOG1S+sa415Af9RkS838pqs20ZysekRq1NafFB10IagGARYwFyjaFcx4Ab01FscVySiPlxyuScV4XiZGe1OSxj9Nzi9wKxOi5iTXRHOamSijZBAeTipFPpDoUvJrsswBx+OHZpzduiBimqDrfHOuxGs60iQW9XOjCO4tVM8YxXTvxX0ESvDZ6XnygeSSmM317eGKeaWVbh274ja74uH9fbzicvPABNW6UZOAcS9oTNQCONokGFlOdfboo49ywQUX4DjOAocywzCWOJSdjxXxajm6cGae7kpZZwBdXV2Mj4/T09PD+Pj4im3FfD7PK17xCj70oQ8tcBmrr5Jt2+Y3fuM3+PjHP76q1wvP8KJ7tplWKcXs7CwDAwMkk0n27NmzohuRYRiUy+VVP3eziU53dzcveu5zSRw+yv5IhHnN4Fu5IkPV0Hgmqgl+tSvDLRtPSzbHHY83HRpmuOpSlYoNtk9GydB02quGWyxR12OtjOYBk0FxTUuCD/avW7CddV2XEydOMDc3x9atW3l3Ms17T0ww5YbmLD2WyQN1ypQKBQRZP2DGC3hOMsonRqY5XHLwlCJQUJYhhckiIKYZvGhjD1ITRIMwOLKgNNpjceYNm53tJttQPDBfwvd8hopFYq7L5LHDPKwksViMZDJJoNk4UiIJbSE9pfAUFGu8WF/B8YrDsarD1SrGlqjFy1oSHCw7lAJJvjYhIDR0oWgTgA+jno9fUpxyfK5IRtkStXhBJk7rosOj56djfGE6j26ErA4BXJpYeK/U3dD82qGcqQm6MilelmilfXKGU0RJCvA9H98NJc8PPvIIPRGbeDzOV6XN54ruwvTfZXDn1k7W2eEObF9f+5Kvr2Ul+L7BafJ+QETXEChmanLi03sneOwskexSSuLxOOl0egltry7wGB0dpVQqNVgHzcV4rUKltRbd1SYBN6PusbBv3z7uuusuXv3qVy/5Htd1ueGGG3jDG97QSAauo16wlVJ85Stf4aKLLlr1cz+ji+6ZkM1mGagdOO3evfus5hm6rq/K3rFZkLG4RZExdX4tEyqP/kBK7s0WGKp6bIvZvKRlIV923/FxxhyPaI26Nex4jBIaB8Q1jSrijGGHyyGH4N/nSnQMT/OW3jbaDY3BwUHGx8fZtGkT27dvb0xUn+jv5clSFU0ILo5HuHJ/uFZ2OT0gDQGPFivkPElcE+QDcAkpbp4QGLqBoWncOZFFR2AL+LlMgg22zsO1Ih7XQ2ev56Vi3Jcr06UbPCcT42HRiiUEGSW5Svj0luah4HFIgqeZWEJne0QHXeCjsT1qYekanlTsL1TYYJt0WwbdlsF/ZIt0Wgalqsc6S2Oo6hMIhYNGSy1hwpOK7+SK/FJbirSxsGAFSvHCdIw5P+ChfIW4rvE7PZnGahFCP4uXZWJMOB6BAIMwQv2KZBQlHbp0QRyNolSkIjZF32SrZXD1+s3829Qcfz5RoITDYu/exZPqVckoV6dP3yvlQHJfroQjFVemovTZJrLGc14NRhwPSxMESlEMZEPgY9SeOSA8AzgTVmIvmKZJS0vLgqInpWwETtapbK7rYlnWgkIci8VWnDjWwgs+16K7b98+brzxRj796U+zYcOGhvT3xz/+MZ/61Ke44447+OIXv8j999/P7Owsd955J3CaGvbrv/7rTE9Po5Riz549fOpTn1r1c4uzNK1X39H+GUAphesu1InlcjkGBgYwDIOtW7cuoNScCblcjrGxsRVz7Os0rePHj5NKpdi8efMSesrx48eJx+N0dy9vLt2Mq358jKqUIT0pCChJSQSBjyBq6CilyNYoVfXT61VMCdQHsQW8ThXYlGnhugv66ImdmUrzyocPc3DRfjdj6GyKmBwsO6E1ZGP1HUIAEcIVnxAQE4KNEYt3r2/l8ZJDrxW2EGZ8H19KTE3DnZpk2I5xwIOuWn6ZIxVv720hqmkcLjtkKxWeyJUYqrrYrkNU+qw3wm1+JBIhb1jc1NtGqUYp+0a2yEDF5VDFxa9prYUKKHsBSdvC1jRiuqDF0Pjwpk4yTQO64AfcNjzDQCU8WnxhOs7/6m1pxPAAHKu4fGxklnk/IOdLbC0MHf3F1iSv60yRzWbJ5XIY6zbw12NZxmpBlWOOz8gZ0oZ16oVPkVaS5+HwpphOWypU2hGN8frjU0y4oSWoIeBvt/bgHnxi1Q5XbzwyxsGyQ7HWXmhe4eqELZzXtCf40KaVjXP2799/zo5adTiO01gVF4tFyuXyAqFD/cM0TbLZLNlslq1bt571cV/wghfwyCOP/HdkV6w4Kz6jV7rNs30+n2dgYAAIqR5rMcGAM/d065aIZ1s1r8Yiso6NEZMnC1U05SPQiOsGV8dN7i+ERtWuCrm7G2yTlKHzjr42Ntgmbzo0woh7tvKrcBH8g0jCvM8HHjsJwHNiNn+xrZdNUXvJSuldrRHeNlkhaGr2zfkBhWLQYDo0F9y67aADxIUgaehUZMCk6/GTQnWBKCMqNCZlQEoL37OTriRlGtiaoMXQGXE8TlU99iajXJaMMmoZPFSVpG0bTybIS0XF1DADjynHwZnP80fjk5zQDDoMneNKJ2no7IjaTHk+o27AcyydH3kBSipsI5wvEppOumlw+krxV2NZniq79Jihb8J3cyV2xSyuq+1MyoHkT4ZnUCqcJKJagCYE/3dzF8naoVvdu7fL1Hh+IsIfDc9QWcVyRREGeP755i4uitlIKfEq5YYC6/N5lyFlhzQwIagAtw1OccuihZJSKkwkrj1ec2vpTzZ18PojY+RrE7gtQokytX8nDZ03d699pbhW2LaNbduNtBNYXv7r+z5ChNL4qampM5rirMVL978TntFFF6BUKnHs2DF832fr1q3nzKFbrujm83mOHTuGpmlceOGFS+KiAeY8nzsn5phyffo9Savr8N2JOfoiJi9Ix5e9WXK5HK8tz/AnxPAMA4ngmpY472+P8dcnxviusJhyPS5NRtkQsZj3A740neevt63jwb39PDZf5vUHB5dG+yhq4ZTLT7KPlh2ueewkF8VsLo5HkCh+pSPDFZk4WyydPbaGZ1oMVj1m/ICweLPs4zVzUstS4vngS0VVkxwtV+iPWCS1UAI8H0h2xyIMuh45JQhQOFLRimDc8cn5AflAUg4kMV3j32YLGALaTZNRx+XJssu4IdCFxmXxFJNWnCMVh5gQjPo+RVcyH7i4TgVNQUnoPOwJSkDVDygqxbaoxaaI2Xg/sl7ArUPTPJiv4EuJK82GYutE9XSffMrzcWR4eAjhYeqMFzAXSGwU9+TK/MdkkScqimz21LL+HCvh6mSEWze0c+dUnt88OgbAdS1xPrSxm56eHiLDM8jJeVyoCTtgrOJQqVT4yU9+QiKRQIvF+MsSHPckES1sFe1b30a0Numts01u29jBu09OYgkwNI2iLylKyQszcd7a08IFkTMrD39aWE7+q5RiaGiISqVCqVRqWEUuFytUX93+tFgUPy0844vu0NAQGzZsWJX070xoLrr1Qu55Htu2bVvilJTzwxNsTyneeGiYCSdMvv2q56MUxOen0YXgF9tSvG9TZ+OmKBaLHDt2DCklL75wO9fG4hwrO8T0UDpbLBa5wQy4/oJePjY0RVdte542dCZqrmURTeNfpnLsTsVwfJ+HS01dWNH444x4suzwZI0f+oXpfCiL1SCtQVm6DXOUsz1WPcSxrMAKJBFdsN40CYTOpqjFmBNmnPVHTHZHdKqex2O+Im3BU47HYNXDVQoDRQT40kyeSxMRxh2PHtvElYrDFY+EJtgRi9Bh6PykVCVRS6OwNMHxiqQE6OhkNZ1WXcP3JDYQkT5SUyjXJ+1XsWWVScPnpGFz12yZQccjrWnMqTB2KamF5u9Hyw77Tk6xKWLyipY4EoUnFbqAiarH4arHtQeGzn5TrQALuKWvjTd0pvnI8Cyfn84jCZkF38qV6bPmePu6Vi6LR/h75hs/p4C80PhgvAfDjHCNZvDITJUjvkJXCgMoVKrcUSnyuq5MY7u+NxlhU8TiVNXFDUKxy554hBenY2w4gzT5Z4E6iyedTjcYAnCaylZnT3z/+9/nb/7mb6hWq9x2221ccsklXHXVVQvsJVfCaiTAEE4KF198MQAbNmxopAyfPHmSm266iWw2y6WXXso///M/n9GvezGe8UV3165d50UKrOs6ruvy5JNPUiqV2Lp164KtEMCk6/GHxycYcVwEghdl4ky7PkkjjO6eqtW+Ti1Miv332Tyv626hW0gGBgYolUps27ZtwRu8pylVoN6e6LTCPC5PKkxNUPADEoZOQtcYrHqMuR4dhkah7JBAUURbECLZnPSwGihgQsKEVKCCBW2E5VAfpkHTc/rARtvkylQMBWyKx7i23WoYtP/bVI7vTc6SrJZpi0WpOC6tuk4hAF9J7i9U6DAMjldcMoaOr6DT1PFlaKFuibCnqVToJyCA4YpDudan9IGChHkpiWph1piDhqlpZGyDTNzieRHBxyYLPOzkyCqBEoI+EQoIygqm/YCUrjHoeMQ1jceKFe7NFkIZ83k43Ujrgts3dvJzrWHr4njF5Z+n5xu9ekdBEEh+VKjwduBIdem62VUwhUbEl3wh74ASRPVwAnKkoiIUI1IwMzPT2K5HIhHeG4vzjZjFg45k2As4WfX4q7E5vpYt8skt3QvaQc1Yy6Hd+UL9NTdjMZVtx44d3HDDDdx0003s2LGD/fv3E4/Hufbaa8/6+KuRAANEo1Eee+yxJZ9/z3vewzvf+U5uuukm3vrWt/LpT3+at73tbav+/Z7xRfd8oE6pKpfLbNu2jY6OjmVvtA+enGS46hDTdRwZhj0GCtBDr9lmaEKgK8WBEycYz8+xZcsWSok0D5SrxLIFrkzHiddu9HpPsF5019kmb+xu5Z8msggEtiZ4x/o2Hi1WGCk75MtlhOeQSiR5QdLiB/Mh1a1VKH63NcLO7k7+dHCG78wv9a1aEUotMFA/E5ptwKOEBU8jjAfSCE/DC0HAhOvTYxl89tQYd09miVo2lZYOikGYXBA3NAxNcsIBUylajdCARSpFXAu9Ikoy9CQecnxGHI9e20AX0IfO4bKq2WiGE4Fz2oCLjKERSEmga2yP2by2u4X5QPLErEt7zMJ1fQqBZAzYCowqScxxOarVp5TzV2gyGryvr51Xt6cW3Ff35kqo5k1K7Vr21jjWzb37ZgGMTmh840qJp0ImhVIKDUVVCS5qa6G/KyxOzckOTOY54oR0t4qUZAScCnzum8zyyu7WZXuj/13j1yHcOXZ1dfGa17xmCaXrTFiNBHglKKX49re/3Yj5eeMb38itt976P6voPp1Z2Pd9Tp48ydTUFBdccAHxeHxFkrRSisOlKoVAMlxL9RWEJtPFQKKLsPDoKKRSlDyPSOCzvauF/p3bOVCq8pGTEwQqpB99fTbPy9tSfHEqRzlQPD8T4/UdqcZB3M+3JdmbipLzA5K6zp8PTXFsvkC1WqVg2OjxNOg6ni95R187b+5t40tHTvBns1WKs8PsjEe4oS3BN2aLZ6Ge1XrA53gdmxmeT1U9Tkzk0ITgP7IF1hsa26tFJoSJjMaYlYJ+TXCs4jHvSQqBQqHwVWi2nasd9lSlZKNlsM7S6dA1TjoeRRl+7fmJCDvjNg/kq5yoeox7IfPDV6dtNlEw50l8FBFf8lSpymuPjCKVoirDSaN5ijygwEAjqy3eIqoFl2gthdgEfqU1wdt7M3REluepGiKcMKQ6HYmkA+9aH+6wLktE+Nps4fRkUoNeu0ZObZ6Ma4KSDK9jf8TkV9pPnz0IIYhEIvx9tsI/VmuevKKWeqzAUDA2M8NPxk6hlFrAJkgmk/+ti+65GpivVgJcrVbZu3cvhmGwb98+rr/+emZnZ8lkMo3Xdy5R7M/4onsuCIKAoaEhxsbGFlg4njp1asWfESI0E5nzAwxACYGrFBfGIvgoDpWqdBgaVd9jwnGJ6xp/uK2PbR3hTXHX+BwRLUxtADhScjhYmmZzxKLd1PjOXAkLwY4m9kObaRARgt958gQ/Lru06xqXtLUxFwS0GDqXp2J0WgZTrs9HTk3y2ayDJiCqazxVqvIk8PL2VEhLk5KBikPK0PlRvtK0Mj+/W8cKgFKUfMmMH/A4kXA1Vw1/r2NNq7diTQosgClPMumdtun+9HSBTbZBi2lwRTpO1vW5L1fi3aemcanF2AsoNRUkExrthhAaBQXT7tkZJcvzQcSCv0IsV4gXHl4Kwv7suoi1YsEFeEVrkn+YnMepxT0p4BUt8Yaa8Ia2JI8Vq3w1WySQii7LwJOSGV/hS9Uo0rNewKaIycXxCO/vO32IVsd35st8LVtY4tEhAaHrvGL7hgb/t1wOzeJnZ2c5deoUrus27D7rhfinKQGG1RvsnMnA/HxIgIeGhujt7eXEiRO85CUv4eKLL16WFbXWa/E/quhKKRkZGWF4eJje3t4lFo51T9mVKCjPTcc5XnEbhUUDTlZdWk2dbYbGVKXMFCYJQ8fWNT4yNMOmqM3FiWjoX9AkM63WQg7rA6Td1PlJsUKzN9jM7CxvOTLKQQx8NMYkFAtlLktGSRk613ekufHJQcZdn6qUVBUkFQhDEBGQDQICpcJWRy1+/LVenhdpPuOZNoZkaJH44/lKzethZebDmtDE511NK7Tek23eQk95AVNeQKvhMVR1Gaj6VJuoUgFL44k8zvcUshwWFuJuAVmlcBd1ZwIlqLoOWddj0pf01EI2m9FjGeyJ23w3V8YgXPneX6jwk2KVSxMRNCG4bVMnv7++DUcqvj1X5M9GZxvtnJSuYWsCT0re3J3hhhUSkw+VHdQyb4QGvL23peHz2xwmWUc+n2dwcJBkMrkgeFLX9UZyR90Y53xRt87HSvd8SIDrEeubN2/mmmuu4dFHH+WXf/mXyeVyjdd4LlHsz/iiu5pZpjkduKOjo2FfuBjN6RHLYVfMRgiwCW/YAMGU42E6FeKmTsGMovmhkUhC1yj4AV+amufiRJQ9yQhfm87TZYeUeEsTmJpo9HMrgaLXDl9TsVjk6NGjTCmNQSNKrCaHFYRx6xOOz3WtSf7fbJ5x1yOiaWhoVGRAEYgTxm1ZQjDphiY708USGd/h0i09vLKzk6dKDh86NcmMF/BLXRnemjL55vAkxbY2/nY0u6LT2VkuNPUU43NBc9FVtWtclYoJT+KswXnq9COs/nU0P/dK0IDtUYM/3tDBnkTIHS0Hkhc9drIxcdQPMG3Az81x3XQBX4Tb+l+L67ytp4VkMtmY7A+UHJK61uDWVqXkkUKFSxOnD5Iyhs7+QoVPjM81BBX1xBFbCzm8tqatOBY6zNDsZ/EB60Uxi19sXUqDbIZSCsuy6OjoWMAMaJYAj4yMNCTAi9sTprl2dsRqi+6ZzG7OhNVIgOfm5ojFYti2zczMDA8++CC33HILQghe/OIXc/fdd3PTTTet+PNnwjO+6J4JzUY3LS0t7N2794zUjrMV3T3JKGlDpxTI8GZUARYC3Y6SjEcQhTKKWkpvE36QK3F/rkRVKR4rOuyM2nxocxdfmSkwUHZC0rom+LW2OBOnKhw8eJBt27bRHokhDpzCFKEAoeSHuvkr0zFe3Z7mrolsqDJSCl/JxqAq+AG2Jrjtgi5GZmY5MJfj6kyK3+7fSotlMlFLK3ZqpuFfnp7nnhnB1ZpipxDsiEfosQwUikk3wCKcGJ6q2xCq8ADr9FZ+qXjiXNBc9GTtw1WKNj0MV1wNDFTtoG/1ryUhaEiM/doOZnvM4nd6WknoGrvjkSWG5nWYQvDyqOArlXC77yuICsGV6SifL2g4miQgnI/+qSTRhia51h1ASkksFicaRCgBltBAhQdkLcuYij9erOLJ0A/YkgEu9VRpRdrQuCq5vKcIwBXJaFicVcilVkBCE7xz3dJWxGKstNU/kwS4uT3h+z62bTdWxWcSO9RxNkOfOnK53KooYouxGgnwoUOHuPnmmxtBCfv27WuoVT/60Y9y00038f73v5/nPOc5vPnNb17T8z/ji+5Kb17d6CYej686Q+1sTmPrbJNeQ6PguViAbtvYpkGHaTDphhHgWc/HFCHNy9I0Xt6W4q9GZkgZOp2WSVVKCr5kayzC+zdFeaJYpeS6VCfHOXFwlMAw+U5bH4OjeXYnXC6KR3i8UAEUcV1jezzCLRs7MYTg6nScT43OUgok1ZqCrRXI2CbXx3R6jx/iko4Ofu+5Fy9YOTxarOApRVTXmHF9lFLkleKYF/DUyCSGblBVBqZhEtcF3ZbFx7YslDaXy2V+ePQY3/V1hqJJ1kctXppJ8pejsxytuHg14xyN1ciXQyxeaQrCAqbVkjXO9jimUsQ0QUGtTJkzgI22TkUq4prgNzvTvCgVJVOTXoua+qv+oWkak67P17IF8r7k8mSEF6RijVXuJ0ZnecqFjYagKHR0YEvUYtaXYc9ahOwCRPj7PWzEecdF/RwqVXn7iSlmVYCjFIH00RWs0xS75qeZVs4CC8V2M4ytl0oRI5zfDCF4aSaULS828AGYdn2+kS3iKkW3Ea6mDU3DFCHDpP8soZawNgPz5doTSqmGBLhQKCzbnjhXh7J8Pr8qqfBitLW18a1vfWvJ5/fu3csdd9wBwNVXX82BAweW/fnNmzezf//+NT9vHc/4orsY8/PzHD16FMuyuOiii4jHzx4xXceZim61WmVwYIBfdyp8PtrCqK8oeZL1muR5HTE22hYB8MThw4xmwkDD13VnyNTSgevBfxFNI09Azg/oswzaZif5t7FZjkVSGKkensyXMGqKrIPlKrvjETZGLIYdj4Su8Zs9rY2wxJ3xCH/R38s7j47hBwE9psbGwKVY8TgZ6Fx/8W7WJeILZKEAsdpr8WS4CtMAhWBreyvDVZcgCJh2fVTFwZWSazSXH7rzTEdiZCIR2nKzlAp5Lu3v59pFpPIXt54ecN+bK/LZqRwznk/Ok8wFAR2mTsowGK66FHxJ0gyNbQ5XfHwVhkT6hNlzbaaGQpA2DF4StdmfL1OUqtH/7dAFCRTlwOfqiMHNWzZwqBr6yLoq4NGCw+XJCFenYpi6RnyZQT1UdRlyfXwl6LHCwySlVJgXpxRfmS1yx3QegF7L5OFChRnHZ9QP+FauxIjjsQHFBlPnqIR8EHoH21qYYln33pW1gm5qglkv4B0npqhKRVLXMCSYGrx/fRsvjBq45dISC0UjmkQojXkZHhimDJ1PbulmT2L5xcTxisONh0ZDzwxClkSPbSBq7m2/1Z2haxn7z8V4ugbmdfbE4gh63/cbhXixQ5nrumSz2UbY5ko4V7ObnzWeNUW3We21ffv2NXsvwPJF1/M8Tpw4wezsLFu2bOFXd3XCZI7bByeRSjHm+nxqZJYPbunhutYkJh6725IUA0lS12kzDSwBxZrAoRgEYarCzDQ/HDzFWEsHJ1LtbIiYzHo+ZQRxpYjr4crrh/kyexJRXtqSwFWKz0zM0R+zGsGXL8gkePv6Nu4czzLvuDwuw7iWpzzFA4fH2Ry1+OT2dbQ1ecdemYqxNWJxqFzFlwpdCLbHLCRg6zr7Luji+/NlKlLy4nQcWyned3KCSqGI58+zFZ836yH1plwuk0qllj1IeV4mjgZ8J1eiKBW7YjYzfkDeDzC10Du3Vdd5slxlT9wmGyiyrs+467MrZpEyDKpKsSlicl0mQbXWDtGFIKokicI8v2BJLtvV37Ds7G+yY3zVUlfEBfjiVI6/HZ9DJzT7vqWvnZ9r6nHeMTbLF2eLIZVNQc53WGcZ/N1kjlZDJyVC9sCIhLisJ0KHP2trggssg5OOT1Brz2ywdfYmIkzVDMTr/r0xPVyZX5SIkI5YEI8t2DYfzJe4/fhkKJYhnBSu8gr85wmHB2ybl7al6G9JLyiO7z81Q7nmSwyhqCKt6+zra6fL1BcY8J8JwRkM058ODMMgk8ksOAiTUlIqlZifn2d2dpbBwUE8z1uxeYOBNQAAIABJREFUPXGulLGfNZ7xRdf3fZ544gmq1Sr9/f1Pa+ZrLrpBEDRsETdu3Mi2bdsarYy7xueoSBrpCVlf8fXpPC/MxPkL4sycnATC3u7Ht/Zyy8ZOPj40zaTrofk+Ly/N4okkl19+OV+aK2HNFtDq21nCFahSGk4gcaRqrEhtLTy+G3G8RtF1XZfc5BRZRyKExrymkDLcjqdRHCs7/PHJSf7vtnWMV12+N1fEVZL3rG/lUMXjm3MFRqo+tiaYcgNe1Z7kkkSUS2rF61jZ4dcPDlHwA+K6ztZUjAkFzroWukRAoVBgcHCQYrGIEIJkMkkymSSVSpFIJHhBS/hRx7wf8M8Tc1jCYmvUZj4IeLRYxQfWWwZRDdKmhlMj8K+3TXZEba5Ix0gYGl+amqcwn8dyy7ysr5fn9y5/8nw2fHlqnltPTQOKtKHTYuj86fAsV6XjJGr93W/lyrQaOqOuR6XWryhUPXRgU8TEFBp61aMiA/JKYGg6JnCwFBr+rLNN3r+hnf+cK1EKFJckbF7TnmLGDwM1dUIRTVDrkS9mN9TxzUIVF0HS0sPC5Afcp8XZoRn4VZ/vD8/yplOnaJN+w594vBrU2BThPSuUIusHPGeFlfFKCILgnA7DzgWaphGJRIhGo/T39wPLtyeKxSLvec970DSNe+65B6UUu3btWtEruxmrkQB/5zvf4Z3vfGfj/4cPH+bzn/88119//dNKAa7jGV90DcNg3bp1tLa2Pm3uoGEYeJ7H8PAwQ0NDrFu3btlk4KwfgArNYIJa/3DO8/hWtsgIOu2aQGhhz++jg1PcffEmPtaT4idHj9Fimezcc1HDqazPDvXwWc8nkAodhUIw4/o4hG/QQMVl3g/YnYg2Uh3qXOPHxyb4rNFCReiNPiqElKppPyCta9yfK/E3w9M8nC9Tra1s75kr8YcbOvjljhRPlKpMuD7dlsHu+OlBOZGb591HRimjE9F1XOCY49FlGhQUtLQuPEgJgoBisUg+n2d0dJRCoYBSikQiQSqVahTkXtukzTSI6hq2rrE1alEKJHFdsSVqszseYXciwrjrk9I1dsQi6EB7fo5rJgfJ9K5nU+9mWsxzu32fKlX5xOhMw6x82guoBpIWUyfnBwuSHgwhGgW3DgkMVn02SocNQcCgYaPrOrqm0a1pFHyJH0je1J7k8pjF3qiJVmMXCAF9tsnrO9N8ZiqPUmEL4ob2BE+WHHbF7CX92YU04fC+s4CemA3YTLo+0y2d/HxHsuFlu10UmEDgB2GGnUSQUQGfG5vlJW0putaw0l1twu75wOJ2xkrtia985Su89rWvRdM0PvWpT5HJZFaV3rAaCfCLX/zihvy3bjF53XXXNb5+rinAdTzji66maUs8Es4FSqlGLtT69eu54oorVpzht0RNfuT5yCYi/g8KFdqtPKppiFiaYM7zefzxx/E8j+fuWGo5eWUqxh2axo8LFQSCGIJ2S+eEE6YzKBEm3VZl6MD18rYUbfksP3riFJ3d3dyR6KJQccM+ZNPjCsLBPOtLTAGfHJtFQ3BtJo6uCbJewNdm8tyyoSNc2Tb9bLVa5ejAce6p+BSsBIYvma8bXUtFQpNsjS4l/eu6viTqRUrZWKVMTExw7NgxXCk4aMXpjlgYkSgXxyw2RW2qNb+FK1Ix4rrGltpz5HI5jh49SiaT4fl79z7tldcj+QqFWu+4jrxUCF82otJNTfCy1gSfnZxvsEIEYIswcLNUrXDENPFNk/6IxZu7W/iHybnGtr0USO4tVMlELIp+wM6ISXetmAZBwM0dSa6OWwy5AV/JFvn3bImvZ0voQvD/be3mwtjp6/vK1iRfmilQDmQt2UOwrqkfqwlwlVxwkPWJjk7eeGSMJyshR1cHDriKp8bmuH00yz5R4vL06QDKlUzF/6sVaauli7W2tlKpVPj93//9VRuew9olwHfffTe/8Au/cNYQhLXgGV90IZwN15IguhgzMzMMDAxgmiZdXV2Nrc1KeNv6dn58aCSMh6nBV/D12QIxwJEKUylyjsdzVJV12/oWzNLNOFZx8VG8MB1HAdO5eY7VAhldGaYG+4QDa5cpuGR4gEImzeWXX86EhPEDp4hoGr4KB2QdqvahA12mQTkI7fwmPZ9e28QQLHj9AFNVl38ZGGS8WGI+kWYsIhivuA3/1TqKgWT9Kg5hIJwU6/Z969atA+CyIGBLdp7H5goEpSLbq0UygUc0GiWVSlEJkpipFFLKhm3nrl271nQoeiaEeW9qCS+40zI4VnG5tEa/el1XBkdK/no0S1UqTEJzHh1BbyLGkBMyP8Ydj6/O5nGl4mTNDD2taxwoOfy4WA2N6IXgr/t72B2zGwd1lySijM0VOVwJ2TAhX1ty6+A0n9ve27h+W6MWf9/fw52T82TLZTaogCd1jXwt9l0peGF6YVGI6hpfuHAds17AH5yc4IGCU/s9BWiCO8wML2tLUSwWGRwcXGAqXt+R/CySgNcS1XMuE8JaU4A///nP8653vWvB5841BbiOZ0XRPVc0Mx12796N4ziMj4+f9ecuS8bYEDEZqLhh36z2eV/BVk0x43vM+QFXJyN8eOc2Esv06n44X+KzEznGXY+cH9Bjm2gISkIQyHBF5YjQSCcALCkJigUuuSQ0Ua8EkjtHp5htkpAuhg70WnrIMRUaRVeS9yUJPaAYSF6SCYuYUoojo2P80UiWGcOmYibIlTy2xywSuobTlH5gAZ4Kt+TJFXqQZ4Ou61ze0crlHaftOJVSCziehw8fxnEckskkbW1tlMtldF3HtpcasK8VF8RsLMESo/GhqsdfDM/wgU2d9MdC8/C39LRS8X3+ZTxHHrA0jV/tSPHV2SKGEBhCUJSS/YWQhgfhdT9c2xm0GTpCCKpScuupKb5y0UY8qcgpRULXGfTCvr2uaRiELIYJ1294cARBgFKKrZbOn2xsZ2JiAt/3Gc20cs9ciUnPpyIVtw3NcIFt8njJYcoL2BwxuW1TBwNllwcLp903JOEOKOsFtLa2LrBErZuK15kT9YSHcrlMS0tLY1W8FhvDtWK1RfdMi6zzmQJ84MABfv7nf77xuaeTAlzHs6LornWlW/fLDYJgAdMhCIJV5aTFdI0bOzPcPjjVWFEKwj5q3Knwwc4E27fvXPHU92jZ4ZMjs2QMjXZDZ6DicKRUZUcsQh7BBZZOHkHZ8fClwkZygW3zwo2dxGIxZj2fNx0c4kDJWVpsm4RYilpKQI3032YaXJyIYAnBS1viXJWKNbLkDsUyTFhRylIhZfi7HKt49EUMZv3QEyEmBJJQvty+DC/06UAIQSwWa2Rr9fX1sX79elzXpVAoMD8/z8jICNVqFdu2Gz3iVCq1Zi+AHTGLvhoNryJP98G9mq/uraem+Mv+HtoMnZGRES4fHeHK9RuJZFrYFLX47lyJL80UiOsaAoGmCWY8yfaoSV4qPKUQQpH3T9simiKkio04Hn82PEPODyhLxZzn4yiFGwTYQmAIuCIVIxKJIKVsUNicIOBb0/M8NpVnczzC9RGDREucD49myRgaroK7ZwphrLqAR4sBbzgyRquhLzshL04ohuVNxQ8cOEB3dzdBEDA3N8fQ0BCu6xKJRBpF+Hz6Max2ZV0f78s95/mQAAN88Ytf5IYbbljQzno6KcB1PCuK7mpRrVYbvrb9/f1LjM9XE8Nex1t6W7kvW+ChQuizpWrVLhuJ09HRsWzBnXA8Zv2AxwtlBCr0MNXhopjNScdj3PPZbAre1B7lu7kSX676KNOkNxbnOclog870yZEZRh132cGEEI2Vt0Kx2S0xqZl0GTrvaE9yWUca27Ypl8s88cQTAMxu2MIXpgqMey4RAXFdIGRYhEwENqGvgVfrWL9jXWvDuOd8oVAocPToUaLRKJdeemljNVWPP28eHI7jkM/nGyuySqWCZVkLmBOxWGzFIrA1avO/1rVxy/HxBddQEfZio7rk8ekss8PDfNtOYrZt4JXxJC+N29w9k+drMwU8KSl4CkvX8KUirodmRv21nu6TxQpZL+Q7xzSBAq5Ox/jESFhw47rGsUoVV0r6ozYDZYcKih0Rm9suCH9XTdPQNA2lFB87Mc4DcwUilsWTvsHMVIFuM2RY20Iw4/kEhPOtKUIK3JwfrKjLu7FjdZRKpVSjqDZ/rh7HXj8HaY5kr9O7zsWPYS22jssluZwNq5EA1/G5z32O22+/fcHnnk4KcB3/I4ruYq7trl27lh2Qaym6Qgh+rzXG/pr0F8JidzAI5bIvWvT9nxmf4+/GZ2u2fKG6LK7rJA2NiK5zXYvN+zZ1sf+xx/nmiSypzi7+ancfSSPMvOppyr4aqnroZ3ALqC92O02dX1zXxw3pKPl8nnw+z1NPjTVYBR0dHZQzbdw5U6THMhiouLgKAr8mXQWOVFz6bINXtyUpS8W1LQmuSJ2/QwXXdTl+/DilUont27evaiDZtr3EC6C+Is7n80xPTzfaEfUivNiU5WWtCf7g+MLHlcCYFzDr+TxQyfNdK4NUAr3s8sTQNN+YLfDjYhWd0GWupBTJWs7bL7WnuD9fZs4LKEvJuBvQZ5uMOR7zUrEzavOHGzp4y9Exsl6AUpJcIEnoGu2mzgWtCbK+z9t62mhvYmXkymUeOnKM+z2LvGkh0RCOx3cVvLYrDSIszMai4la/B7oMjVkvWOCBnNLgVWfxXKhjuZVnM6NgsR9DvRAPDQ0t6RPXD/nOVFSXMzBfDvPz8+fExV+NBBjg1KlTDA8P86IXLRzJTycFuI5nRdFdaUWzmGvb399/xpnXMIxVBUuWSiWOHj3KMR8MIg3XJ0W4IvxMtsSubo/2WtzOsbLD343PEq0lSow6DhMuDFVcMqbOrkSEl9tw/49+xD+KBCciraiS5AvHxvnjTV1cvSi+/bJklEfzpRXLrg5ssQ3abZMRx+f/jOWICsG1moHhumzbto1MJsPofJ6H5wqUyx6WDOgRBpPoONDoVStgyPHJ+ZL/c8HKibFrRd3xbXR0lM2bN7Njx46ntT21LIu2trYFTJZ6ESgUCpw6dYpSqYSmaWFfMpHAX+bi1ZVjD1oJPKloqa3oK1Jy71yJXjuU40Z1jRnP56pUjF/tTHNJPMJV6Rj/PlvgQLHCpojFtpgFRJn3AtpNg0OlKuOOR1TTsA2dYiCZ8yU/mi8jgKShNVRiFT/gPQdP8mDZBz1KGWhBw67Zix4qO3w/V6LLNJjw/FAyXUuPcJUiqLmeHa16DQVfXQJ9W18bvXo4PurX/Exx6Ks9rDJN84x94snJSY4fP04QBMRisQXtifrOZi0OY+didrMaCTDApk2blvXJ/fa3v73m51yMZ0XRXQwpJaOjow0/zOW4tsvhbL1hx3EYGBigWCzS399PXyLJ7Y8MgGKBV+k95YD7HzlOr21wRSpKUjcaZiYjjoskFE50mQbFQLI5N4vt6cxs3s6hwSk0FFEtHFwfGpzi65l447VJKXl9R4oDhRL/MRcmRtSHiybCA7iKVAw6PtNewBPFKgYKLQi4T9d579addCUi/PnUPEfKHoXAomwZbInbtEjJkVKVE55EolAqpKyB4DNT8/xSOspFLcvbB64FdbZIZ2cnV1xxxU/tdHylIlDvEdv14M1ma2EhKAN5Xzbk1gBurZiNOR62Fq5Oo5rG1ekYe2pCkl3xCBfGbPadmOTbuSI5P2BHzGba8/lBocJ9uSIlKVGocMXKaVtLgJwv+ceJOd7TFuUjh0/xQxElE7HwpGLeCyhKiQxCGa8uwtDMFsPgd3tbEQg22QafnZrnB/NlTjqhiMNREBWKAEGvpfNnW3q4MLpQ7ly/LnA6owxomL08nfd7pfDJ+qFpvU9cV565roumaY220krPncvlnpFqNHiWFN36G6OUYnJykhMnTtDe3n5Gru1aUE+YmJ6eZvPmzezcubPxnNek49yXWxqLU1WKoarHuOuzzjKY9nwMTVCVYTEzBOB6aCjszg52b13P42OzeArSWngqntA0pj2fYhAQqxXd0JQFopqOLkJxhkFYcDVRj20Ji2WuZgdpALrQyUm45eQkHqH/wuWJCG0Rk0eLVY5XXdKGzvp4FFV1Gah6C1j5AfAXA8O8JchjWdaCg6yzuUbVUd8hGIbBnj17/ktJ93Xout6Qn76ZST4xkVuUChFW4KrnktYEM0G4fZ8LFF2GxlwgqQSS0UCyKWrxvNRCGttdkznuny9RCRTFwGPcDTf2GUMnomnoBFQl7I6ZHC5LikG9ORXiG9PziOkpvqnHqEiF5ktiusCofY8UgqgIecRdlknOl3RZJjtqvN59Gzs5WKryzuMTjDheeJ/VWl++gmNVj4sXOZI1H9gppRoF2HVDH476iri5ID8d1FsOzRTAep/44MGDuK7LwMDAgj7xYt/eZ6oEGJ4lRRdCV7Fjx46RTCa59NJLz8uAllIyPDzMyMgIfX19XHnllUtuuls2dfHA4yeW0I8gLFQ2ENN1OgzFUNXFrwkqlJKMExq6TKvQleyCiAUKKr5CGIqKlLQaOkJKZNNNf8fILA8WKvRZBuNeEPqqErpbHa+4GEo11GkKsSAWvFLbduYDyYP5Mr22Sbup8XMtSa5Ox9kYMTlcqvJrh5durYrxJFft2oXruo0ecd1/oX6QVS/GzQdZ9eSBXC7XaG38LCGlZGhoiC0Tk2yx2jjuLZaVQEXoXJ2MEA98Jh2PERWAp9CEgUSgC/jwhtYl6rF/nZonpmnEbY1KICkGAQJBoraaTxg6s17AD4tVUKcjehQQKIUnBEfiaVr9gEHHZyYIqSSWCIMt80HIRIkKjRMVh7ihE1lkO7neNjFqkvKQxxsa2RsizI5bjPqBXTOmp6cZGBigr6+vYe4PpylspxV2568QRyIRDMNg48aNjfFb9+0tFAoMDw9TKpX49Kc/zdjYGKlUigceeIBLLrlkVWcB//qv/8qtt97KoUOH2L9/P3v37l32+/7zP/+Td7zjHQRBwG/91m+xb98+4OmnANfxrCi609PTDA8Pc/HFFz9tAr0QgiAImJqa4uTJk3R2dq5oeg6wLWZzeTLG/fnykq8pwtXFrOeR8yVRBWnlMyIMAjQkEBPw77MFDpUd3FrMd06B5/p0WiZv6ExjN1kNAjxWqmLVPGA36hrzXoCtaUilcKUKtfwrrDzrFDcary0g60FfxGJ3TZd/RSpGWsB800SiAztqCjHLsmhvb18g+KgX4nrvrlwuY5omQghKpRLr169n7969PxXzlLWgPjl3dnbyssv30lqs8rajY+TlwlnTFPC9fOgJEdc1NF1HCIhIxbwMt/jvPzLCu+U8rTW/g2QyWbPOCRkESUMnUApV4+naQjBf8wXO6Bpzvqy1F0IfBl2E8vFWywAhOOn4jQMxSRjv80jJ4XDtXhl1AzYIjZ5Fcui4rvH6zjR/NTrLjBegC0G7GcY7vSB95vHhui5Hjx7F9/0llqjNLYnlWhNAoxif6/u8uKe7nG/vzp07+dM//VOmp6f53Oc+x3vf+17uu+++sxbAiy66iC9/+cvcfPPNK35PEAT87u/+Lvfeey/r16/n8ssv51WvehU7d+582inAdTwrim5nZ+d5s3hTSrF//37S6TSXXXbZqtQmH9rSw3WPHafaGLenybKBUhS8gLJSRBHokQiqKdiyrMBGMeP6zAcSav9HaLy+K8WNneklN3CfbXK47BDldJLwtTZ05ab5tJFmSq6tB5cwtAWrJSEEN3Sk+epsgXItQj2j6/xW78rXeHEhzuVyHD58mGg0yrp16ygUCjz00EOYprmEUfBfEfFdrVY5cuQIAJdccknDHOWqdJzP7FjHjYdGmt6/8H2poxAoJApL0Dh8iwgY0Sx+0L2F32uPc/d4lv0jc5iuT06F7SGERsrQePe6Fj4+MU85kAQKWg2dkpQ1j2CFhqgxIsKDvIfzFQwRClGUCDm1cV3jibKLpQn2JiOUZehkFijFmOdzgR4WHKkUHx2a4Uf5Mu2WQcrQeXVrgsvTcfYkIugrTca1dJXBwUE2b95MV9fSQ9P6fdjcg19ciOv/rhdipRS6rp/1wK6O1RzcxeNxotEor3zlK7nxxhvP+L3NuPDCC8/6Pfv372fr1q1s3rwZgJtuuomvfvWrXHjhhU87BbiOZ0XRPR+o80Qdx2H37t1r8nPYGLV4bXcLX5vOUwoCVO1gzQIsAuJCw9J1ilIx5QWNA5S6MbevYMYPCFRoD9gqFLnA48HBEfZkJxoHEYlEAk3T+J3eVp4oVZn1wn5bm+/wipjJrr17ODE8y71zRXSlyAaqQf3SWXjYJwhFHrvjNoNVj6/N5Ilqgm7T4KTjcW1rAksTPFyokDF0/ndfOxsiZ99KVavVhnR3uZ2H53mNFXEztau5R3w+C7GUksHBQSYnJ+nv71/2fS0r6I/Z+FJxuLKU/1xvPtQ9DGxNhLsUTbC/UOHrEYvveNCWSJDyAzpcn42WTq9QvEzziIwN8vvVKvdpce4hQtkPkEpiCA0f0WC9qJp5kqz5QkggQrgqrihFp6Uz5QWhK1qtfz/phVahdTxRqvJQoUyHqTdkxd/LV7h5XduK17RcLjcmyL1r9LZYqRDX/z7Tgd1K7YnVvPc/rZ7u6OgofX19jf+vX7+ehx566LykANfxrCi6T2eAVioVBgYGqFQqbNu2jeHh4XPq07x9fTujjsdwxWGiUsVDoBBIzWBLIoptaPxgvoQnw4Fbr7yKsBiK2oBzAd8wiSqwUil6O+Lk83mGhoYoFosNytMHIxY/KecxdJ1f2LWFTCIsbhfGbB6YL5PWNdJSMeh66CL0cdCpPXf41FQCyf58BQ+YnCtxz1yRhK7Ra5soBS/KxLl714ZVXd86PW9qaoqtW7eu6DVhmuaK1K58Ps+JEyeWcGzrYoe1blnrLInu7m6uuOKKFX9+fU3QUKf0rYSEoVMKQr8DWxNENEGrofNgvkyXaTDi+Aw7Lk4tVufmjR3sTYWS7T87OsqJsoPwfcpK1A49JUmhKKKhIxrUw/pECSH7YNwLWGfqPCcR4cfFKkfLLhUpqUrFpYkovWbovTzoeDxVdGpRdeF7FtEE015AwNLBXu9tT0xMsGPHjvNWxJrZD4uf70ztiWaGztne63w+v+zrPZMEeDVZZsuxl1ZiNZ1r3XlWFN1zQV0wkc1m2bJlCx0dHQghGB8fx/P+//bePD6q+t7/f54zayYThoRAQhIghGzsO5TeirZuX8Gq2PrQ1kpx+aq9xWKxPKTqbdUqWuvai/0J/VlpvVpvay21Vmu9elFRE5ZqFQlJIAtZyT77dpbvH5NzmGwwWSfCPB8PFMgwc87MnPd5f96f1/v1Dp/+CXqRZjLyWO5kXi07yq9kmaSkJBokBZ+i8pHbx6JkC4vtSSxLSeKPrU7MgohflumUZBQ1ojwIdFsNdkkRYf3SFFsPo2dnWOKTLjdH6+tJb2tnji2JcChIxeHPSUmZQLnZRpViINkg0CZFMu7ZSWZ+MSuTMl+I7Q3tdMlKpPW1e76WQCRjMwoCXbKKU1KYYRWwG0Xe7fJySZqdOckDb0qqqkpLSwtVVVVkZ2efMrgNRH/SrmiNbXV1ta6x7Z0R9/dafr+f8vJyRFGMSSWRZTHxw5xJ/LjqRP/nSORm9X8zHfyj00NTSO5WEwj8e1YaL7U66QrL1AVD3YFbIcUosLOpkyKbhXc7PVR7/FhkiQkWC16gLSxTkGTBLcv4wzJJgFtVUVSQu69lkW7VgqqSbjLx9w4vkqrSEAxjNxpINxlpCUu83OqizBfiI7eXsKzSIskYgFSTgbawzAK7tYf8DSKZYnl5OZMmTRrSZzYUTlWe0JpkkpKSdMUEDJwRDzQ14lQtwLGQk5NDXV2d/mdt2m96evqwpwBrnBFBdzB3HM2HtrGxsY85OQyuKy36ObUmjKysaYh+JyfkSLYjKTIhFQ54gsxOMjM32Uq22cQHTi8WIbJF8p4rQHK3DaRbUbGJIv/msHHF5Ij4+3ggxFP1bbzf6UGQJaZbk5iZlc5dM6Yw0WhAkiTeaGrjd61u/JIU6ekXRKwItKoy91Y182RBNm/ZzLzT5eu2jBSwieDt3njzdXsQSEBbSGKCzYIoRBzFBsLtdlNeXk5ycjJLly4dUSOU/gKxJEl6RqwZp2uZvxaE29raaG9v77fN+1ScN9HOOQ43f+32L+h92xWAJxo6sIoCRhUEg0i22cAzTZ18zWHjlTY3QVVFVSJdZplmEwfdfi75VxUeSSKMgek2GwZBIKXbnvEHOZNoDIXZ3tCJW5ZRELp10d02koCISkBRafK4yTeKuEQjAmAVBHKtZqr8Qe6rbUVSVb18ZACO+EPkY2ZJipUf5vQck3Ps2DHcbjdz5szpMc8sHoiiqG9uTps2jaysrB614YE27E6cODEq5YXly5dTWVlJdXU12dnZvPTSS7z44osjMgVY44wIurGgqiqNjY3U1NQwderUARsmBhN0o58zKyuLVatW0SEphJtcKKqKR1F0uZYCfO4PcXN5A7kWIwvtVn48YwotYZl3XfXUhyKvaRYELk2LTG9oDIbJMhvZdrSBzz0+goIJg9FMGyIpIZm3OjxcNcWB0Whkt1eiXFJRMRAUTpYt/DK0e4Nc/XEFK4UwViEJY/fOelhV8YTkHptGAA0hiYlGAwZRYGY/wws1HaXf74+5dXckMBqNfXaytUDc1NRERUWF7kTW3NysjxLSauGnY7E9iQ9dfrrCEoKK/tmZiLyfoW7zIKMgEJQVkg0GkkSBt7t83J49iZ/XtaKgkmkycsQToCUYJg0Fq8GIR1ZpCITJsBjxKyoXTEzmgrQUGoNh/tLm5kQo4t6mqAodsooZEEWQVAEDAg5bEjajgCsQQlUU3MEA7wcCeLvrwtGoRDZjr5k8gWszT75X0TKw3slGPAiHw1RWVhIMBnusSLTj6q9OHAgEePzxx6mrqxu0peKf//xnbrvtNlpbW1m7di2LFi2BqNq4AAAgAElEQVTizTffpLGxkZtuuonXX38do9HI9u3bufjii5FlmRtuuIG5c+cCw58CrCGcxp0rduuuOBMKhfqtu6iqqtf2UlNTycvLO2VGVldXh6qqTJ8+/ZSv197eTkVFRb/PedeHB3lFsPWr3QWYajLgMBpYMymFr01M5ifVLbhkGUVVccoqKQaBiUYDrrBEfshHo2iiFoO+0y2rKouSrXwt1c5VUxzcX9PCX9rdutF2dIOV9nuHQcQhgldWcSsqcnfHmShoHVFC1H8hz2riifypzEvuKRmqq6ujsbGRvLw8pkyZEvcL1+fzUV5ejslkoqCgAIvFonedaRt22iih3hMsegfioKLw0PFW3uvy0RQKn9RURz3GKETkYAYBZtusTLeaaAlJ/Cgnnf9saI9MWpYVJEXGLBrwEXFmU7o1uXNtVs6ZaOP72WlYRJFPPH6erGvDrShU+8O6Xtfe3dyiABMMIrIKxckWbKLIfrefgKzo2bga9V9NOGNC4DupSWydmYmiKLpyo6ioaNDBajTQbgC5ublkZmbG9D365JNP2LRpE5dddhlbt24dszFCQ2TAEzqjM13NL9disbBo0aKYZigZjUYCgcCAP9dUDgaDgYULF/brKL+GIMLkLF5s6ep3FHh7OGLjV+YNkGc1dztUmajyhwgoCqoq4O52EdsvWrt3ttXuyb2RC7E5FGa2zcIPjzZR4vKf3GGPep3o34dUlQ45YrAu0W1mLfQeVa51y6lcIoRJd3fhEyIdZ9pI+9Fu3Y0VWZaprq6mvb2dwsLCHtlvdNdZ9OO1GnF9fT0ejwegz0y3n86YwvOWLv671Um7JNMelnu8R2p3C66qRmrhfjnS0Lvf48MbDrNACiCaTFSLFo4HI++0QRS63b/gkkl2bs5KQ1FVToQkrEJko+t4MIxJiMzck4noptWQxFSziVyrifpgmGp/RDKGqmI1CCiyqq9o9Gtc6PZZEGBqwMu+ffsIBAKkpKQwefJk3G43giCMqifuqdB0wIqisGTJkphuAMFgkEceeYQ9e/bw7LPPsmDBgjE40tHjjAm60TuMPp9PF3gPdjLwQOUFzRbS5/OdtqtKBO6bOYVPPX4O+YJ9Aq8BOCHJ5CuRXv4Kfwi3JCMI4FfArypkmQyYDQa83X33cFLdANAqKXzuC9AYkiKeC9BnwoN+TkQCRKek9HsTOEnkirWJAqvTHfh8XhoaGnA6nRgMBqZMmUJycrLupxqPLLf3xt3y5ctjKh0MFIi1mW7RgVixpqDKJrKNBlp7FXdlIEUUsHQ3PvgUle9lOvhbbSPhQIiMiQ7MJhOhoER1MDL1V1LU7m4wIyfCEh85ffxnQxutYbm7OzHy2cpENlQnG0VUQSA/ycxUiwmPpNAcknBJClNMBtxRjRz9feQmYGWyhYX+NlImTWLWrFm6C1tnZye1tbWEQiGSkpJ6aKZHwiD+VGgt+gPpgPvj448/ZtOmTVx55ZW899574z27jYkzprwQDocJBAIcO3YMp9M5oCbzdHR2dtLc3KwLqaN9F2bNmnXaJbWqqpSUlJCRkYFss/Nwu58PXX6CaiRDNRAJakJ3xioi4O1eRoqqgipEOtUmGUWMooCkqLi7rRajbwUmtH5+gZASsQlUVHTZkcMo4pUjjQ1mIaIF1TbL+kPkpJZ3/ZSJ/Dgnlerqar1112az6a2/LpdL97DVJF1DMRMfLF6vl/LyciwWCwUFBaOSrSmKQpvTxb117ZQFwhxXBb3VRSCiz51sFLlqsoO1k1JI8rhorq7i+KQM/ioZyex2Cdvr9OGVFYKqitBdpphgFJlhMdMQCuOSFTKMBiaYDNQGwlgEgUlmAyZBwCUpLLZbaQ5JtIYl6oNhvXGjp0NEXwTg+iT4qr+TecXFAzpxqapKIBDoUYYZCYP4/ggGgxw5cgSDwUBRUVFMgTMYDPLwww+zd+9eduzYMSTf2jgz4Jt2xgTd6upqqqurycvLi7lG1B+aDeDcuXOpr6+nrq5On2JwqoxK22VVFAW/309HR4e+nFWA9y0TeFc2MNliJiAIHPQEo5oV1G5/3Ei9MKiqJAkwy2ahORgipAp4ZKVHcwNEmi+sBqHbtDqiNJhsMvJk/lQWJlv4SU0LtYEwR/1BOiUFEXr4MEST1L0EnmuzsG2CQEt9PdOnTycrK2vA91IzE9d+RV+02q+RyJ60G19nZ+eYeTcEFYV3Or388GgTEicbWVQim1x5aphsReIGMcCsvDwmpqayu9PHGx1uAI75Q6QaRTokhU5JRlZVJhsNLE6x8Z7Ti9g9hmmaxUyXJCMKYOhulEgxiPwyfypbq5rZ74mUuqIvRIGBL8wkFHanm5g1c+aQZGDRBvHRN9dYDeKjUVWV5uZmampqyM/P7+G9eyoOHjzI7bffzlVXXcWPfvSjQQ2eHEec+UHX6XRiNpuHrTfUJiooikJ6ejp5eXmn/NCjgy2c1BVGI8syDV1OflrfQWtIoklW6dQMGaMcrgROBj+H0cBqhw2nJHPYF4wMQez12hYBvjLBRlUgTKHNzIqUJJZNsDHRYCDHYqRDkvllfTu729zYDQKZZiOfeYN9MuZbstJQgUw5RN6JetLTUpk5c+aQvuyBQKDHRRsIBLBarX2yp1jQXOOqq6uZNm0a2dnZY17SWPtpDeXds/D0icDAIjWI32LlzlQrJp8HyeNGURRsyXZSUuxs80KtpOIwRhoX2qWIlGx+spX3nV7ccmTOQ6bJQBi4I3sSx0MSh70BZlrNTDEb+XVTJy2hMCL0UZj0JfKAb0608UjRtNM8dnBEG8S73e7TGsRD5HtQVlamr0piyW4DgQAPPfQQH330ETt27NBVA19QzvygK0lSTAbkp8LpdHLkyBF8Ph+rVq06ZXDorSXsL9j2eX5J5v12F/9f7QnK1MiCtfvZuv12IaX7eWTg21MmsmnaJF440cXP69oikqUoci0mVjlsHA9EpGX/8vixiAIOo4ELU+18J2MiFf4g15U1EFIUwioRLSmQIoAiQIoo8rNpk0hvrkNRFAoKCkZs6q72PvXOiIPBoB6IozPiaDweD+Xl5SQlJZGfnx+3jZ9Sl5dbK5rwd79/IiozDQJ5KTb+5Q0y3WLCKAqsmzSBdZPsdHm8vNnSwSFPgLdCKj418nkuMgukWcwEDEbMYqQ7MaRGZs1dmGpnTaqdxxvaMXeXlI4HwvgUFZ+ioKgqAfWko4cBEISIradI941fEMi3GHltwczIINJRJrp5xeVy6c0rdrsdWZZxuVwUFhbGnN3u37+fzZs3c/XVV7N58+YvanYbzZkfdGMdKtkfPp+PyspKwuEwBQUFHD58mFWrVg34eM1zNNZgCz3lVvWTp3Jne9+F/gyzkS5JJqyohFCxqzIXCBLTbVZ+FwCXGjEplyN9nlyYascgQInLR1CJyMlEAbLNRpKNBrZOm8xf2pz8qc2FpKoEZJUgkV30VINIWAVBUbhNdXFp/swh1cCHglZPjA7E2saO3W7H4/EQDAYpPkVNciz5uNPNM8fqOSKD0WQi3WKmMSRhEQTmJ1uQgZawzI9yJvF2l5dPvQE6wjJH/aFIZ5hRxKIoXGBU+DwUplkVUQQDX04ycNUUB/PSJvJYs5Mqf2TQ6GFvkM6wjCx0a4RV0PQ0lm51wiKbmfODLv4kmwiaLaycYOPe3CmY4+ji5vF4+PzzzxFFEavVis8Xcd7rLdWLVr74/X62bdvG/v372bFjR0ymNF8QEkG3P8LhMMeOHaOzs5OCggLdL+DDDz/ky1/+cp/Hx1JK6O/faDaRGRkZTJ8+HYPBwKaKBv7W6UUloi5YmGyhVVJo7taHJgmRAOpTVEwCiCoYUQiokCqo5JkMYDQSFA24ZYW2sITNYMAogE9WmGiM9Op/5g0w3WLiaCDcbYgeqUkagLCqMN8s8tsFs0ga4UGTg0W7KR0/fpzk5GS9NdTWbZuoZcRjmfFqzS/Hjx8nLy+PSZMns88doCUk8YdWJxMNAlaDARko8wXItZg4EZIxoHLIF0Im8j6b6J4ULYqoQsQPwSZEvC++bJD5asjNf6pJ1AtGJER9vI7DIOBVIlmtFci2GPGrIIXDTJMCPJ6fNaDHxViiqqqeUPT2cNAUIlpG7PF4UBSFF154AaPRyP/+7/+yfv16tm7deiZkt9Gc+UFXUZSYPRM0o4+GhgZyc3P7bBb1DrpDCbYQKVdUVlZis9mYNWtWnyV0qcvLZ94g0ywmLki189c2F/fWtmASBCyiSHtYIqieXFKKQIbZQJekMN0oIMgKxXKAN1QzYUFA7rYIDBMxvS6wWagPhMmyGCmyWVAUhX+5/UjhMIIg8tVJE9iaOwVrnDW3Wjux3W5n1qxZev1PVVX8fn+PjDgcDmOz2XqUJkZDRuTxeDhy5AgpKSnMmjWrT0DYVtvKEV+ANJORj91+OiSZVKOBlrAU8U/gZDlAu4iSu93JUFUMQmSskibh04xuAAQi0z+SVYWpAoRFA8lmIxlGAx6vB9Vgwm638euinBE/78Hi9XopKyvD4XCQl5cXk37b6/Vy9913c/jwYWbOnElNTQ12u5033nhjDI54zEgEXTi5m1pVVUVmZia5ubn9fkm0oDvUYKtpekOhEAUFBTG3yXplhTWf1uCSZUTAKas9LlztwzAJ8OUJNsKKyue+ICZBIKwquGQVTRSWpKqkixHp2TFZYHaSCX8gQJES5q7iGUwcwiTVkUZbaXg8npjbibX5WloQdrvdhMNhkpOT9SCckpIy5EAsy7I+5eJUGu/mUJgHalupC4SpCoTIMBlxiPCxv//voABYxUgdNtJ11vMz7f2tchgEBATSjSJzjXDY68ciSZhFAbfBxFdtJm7MnDjm2b+GlricOHFiUGWgjz76iC1btnDdddfxgx/8QL/+tFLdGcSZH3S15ehAdHZ2UlFRoWcup+qE+fDDD1m5cmXUTLLYgq0kSdTU1Oij3idNGtjDdCD+0eHm53VtiEBdMKy3j0ZfynZRINtiYprFxIcuH/NsFprDEidCkYWpSYAJRgN+WWGeCRoCIS73dzDRaGShw07qRIfegRWPzrLoZfuMGTOYOnXqsC643oHY5XLpE2ejM+LTLV9bWlo4duwYOTk55OTknPaYfLLC6+1udp3oJMtk5GNPgK5+pH0ASUJkooM2LaK/JhWRk6uayMRhgfOSzaztaqQtdTKvqxb8isrKJCPrrBDsXrJr2f9YlWE8Hg9lZWWkpaUxM0Zpms/n4/777+fTTz9l586dFBYWjtrxjRPO3qDr8XioqKhAEAQKCwtPuzOvqioHDx7EarUyceJEHA7HaQcvRgeRnJwcsrOzhyVdO+Dy8b7TxwG3nyO+IAFFIaSeHEBpEUXSTAamW8z8y+NnhtWMVRQo8wUQiMzCklWQVYUpcpivJJu5e04egiDoHVhalgjoF6vD4RjQLnGkcLlclJeXM2HCBPLy8katw0hVVbxeb49zlWW5T0ZsNBp1K0ij0aj7N8RKlyTzg8om/LJMZSBMUI6YHBk4GViTBECI6KmDSkRLfTzUd/9BJHLBZZoMXDwxma/6OkgOBZg9e/YpW9ijyzBa7VTbmIyW6g3Xc0FRFL31evbs2TGvTLTs9vrrr+f73/9+3FvIx4izL+gGg0Hdwq53b/5A/14rJUiSpH+BnU4nfr9fF/07HI4eX2DNkyAtLY3c3NwRDSIuSebB2lb+6fbRHJJINxtxGAwcDYTI7h7FclW6gz0uLydCEg3BMBMMIjagIRAkW1C5Miuda7LSIz37/RBtDqNtdGi+tdqvkZjkEA6H9TbqoqKiuFgKKorSJyMOBALIskxmZiaZmZlMmDBh0EGhLhDm/2/u4L0uH7Ki4FcU3HJk3t1Eo4hHUZlhNmEQBdZOSuG7GRP56r+qaQp1j7QhcoWaBbh4YjI/SBE5UVMzKDOY3miBOPqz1dq3TyXVGwiXy0VZWRlTpkxhxowZMd2YvV4v9913H4cPH2bnzp3k5+cP+jy+wJz5QRcigVaWZWpqamhubo6pOy3Wum20xMnpdBIIBJAkCbPZTG5uLunp6aOStYUUlfpgiH90ePjI7ceAwAUTk5mbbCHTYiLDbERWI+bjSGFeO1pLs8/Hv03P4d+mxqaR7I1209F++Xw+jEZjj4s11rHrqqrS0NBAXV0dM2fOJCMjY1zU7rRykzbXTVsBuN2RJgdN5qRlirEEYqck83RDOwfcfhpDEplmIxZBINVoYGGKldk2C6sdyYiCQLU/xK0VDXhkpbuUIHJHpoPJjbUYjUYKCwtHvETQW6rndrt7aKajM2LtM4qucc+ZMycmDbeqquzdu5c777yTm266ie9973tnS3YbzZkfdFVVpbq6mpqaGrKzs5k+fXrMbbsQ+yZZKBSiqqoKl8vF9OnTUVW1Rx1Ru1gdDseY1UyjA9tI1Ej7Q5ttFh2IzWaznvn31/KrTSdITR16h9tIEwqFqKysJBQKUVRU1K9LnKIoPcowmswpumZ6qs9W7TbCqQ2EsIgiM60mxH4+j8ZgmPecPmRVYZbXCS3NQ/YMGSq9PRi05hWLxYLZbKazs5OsrKyYa7cej4ef/vSnVFRUsHPnTmbNmjUGZzEuOfODLsCxY8fIyMg4ZcY5lE4yOLlb29TUNGDGpigKXq8Xp9OpZxKCIPSpmY5kQOzs7KSysjIuga0/7wWr1UpycjJutxtVVZk9e/aIdrgNlegb01C8gHsHYq0e3jsjHmw93O12c+TIESZOnBiz5Gq0kSSJ8vJyfQ5ZIBA4rRmOqqq8//77bN26lZtvvplbb711TEYAjWPOjqAbDof1zLU/htJJNlBzQ6xoNVMtEHu93h5LdYfDMSQnJ7/fT2VlJYqi6C5g8UZRFGpqamhoaCAlJQVZlvUGh9HW1Z4KLbBNmDChX83tUIm2htQyYqBPRtxf8NH8gDs6OmLelBoLOjo6qKio0DeEo7+XvTPiQCDAp59+yr/+9S/a2tro6uri+eefZ+bMmXE8g3HD2R10h9vckJyczKxZs0asxqYt1bVArG3UaUt1h8Mx4GtpNeu2tjby8/PHdCl6Krq6uqioqNBlRNH6S7/fr5+rVobpT0Uw0kiSRFVVFU6nk+Li4jEJbNFm6Vogjp5a4XA49BJHVlYW06ZNGxc1bkmSqKysJBCIqCViMSVSVZW//vWvbN++XZ9HV1tbyy9+8Qsuuuii0T7k8c7ZGXSHGmy1sezhcJjCwsIx2WnXNji04KRliFogTklJoa2tTa9Zn85qcqwIBoO6b0UskjzoK+dyuVz65pV2vsOph6uqSmtrK8eOHYubO1k0WiDu7OykoaGhz2d7qsnGY0FbWxuVlZWD2g9wu93cc889HD9+nJ07dzJjxgz9Z7GMUD8LODuCruY0NtRg27u5IZ597dGC/9bWVtra2hBFkbS0NFJTU4dcQxwpNK+EpqYm8vLy9BH2w3m+kdAQ+/1+jhw5gslkGhUFwFCI9pXV9gP6m+PWW6pns9lG9fMNh8P6hJXi4uKY5GOqqrJnzx7uuusuNm7cyI033jgm38G6ujrWr19Pc3Mzoihy8803s2nTplF/3WFwdgTdcDiMJEmD3iSL3mTRxkCPhzt1MBjk6NGjBAIBPYvUApPT6dSXrikpKXrWNNIbdf3R0dFBZWUl6enpA7ZSjwSD0RArikJtbS0tLS2DHr8+mmg3gVh8ZaNHzGv1/2jf2pH8fLXuu8FsKrpcLu655x4aGhrYsWPHaYe3jiRNTU00NTWxZMkS3G43S5cuZffu3cyZM2fMjmGQnB1Bd8uWLdjtdpYtW8bSpUtJSUk57ZcpurlhvMiaopUSs2bNOmUWqXmXaoE4WlOrBeKRGqMTCASorKxElmWKiopiGvQ50vSnIdYaY7TJzGNx4zkd0SuBwsLCId8ENN/a6PM1GAx9MuJYzzcUCnHkyBEEQaCoqCimlYCqqrzzzjvcfffdbNq0ieuvvz7uScnll1/Oxo0bufDCC+N6HKfg7Ai65eXllJSUUFpayj//+U9CoRDz5s1j6dKlLF++nLlz5+qZRkdHB7W1tRgMBgoKCuISQHqjjYvXpG+DVUpohEKhPo0c0Z1Ip9qo6w/tJtDc3KzfBMYD2mTZYDDI1KlTdQmbpiHu3UE4VoHY5XJx5MiRPpuKI4W2ERttIG4ymXrIuXoH4ugpHNqsv1hwOp3cddddtLS08MwzzzBt2shOpRgKNTU1rF69mkOHDg1q6OwYc3YE3d4EAgE++eQTSkpK2L9/P59//jkmkwmj0YjNZuORRx6hqKgo7ndtOOkRYTabyc/Pj3mkTSxo0xuiFQShUKiHgmAgQ5j29nYqKyvJyMiIuf1ztIkuBw20EhhIQzzUG08syLKsD0adPXv2mLY6R4/U0W48WiBOSkqipaUFi8US82BIVVV56623+MlPfsLmzZtZv379uPjsPR4P5557LnfffTdXXnllvA/nVJydQbc3f/zjH/nZz37G2rVrMZvNHDhwgNraWnJycli+fDlLly5l2bJlpKamjllWFA6H9Q63goKCMRm6CCc36qIDcXTXldVqpaGhQTcKGg8rATipudX8W2MtBw00rWKkNMTazUlTlsS7vAGRG09tbS1NTU0kJSUhy3JME5y7urr48Y9/TEdHB8888wzZ2dlxOoOehMNhLr30Ui6++GI2b94c78M5HYmgC9DQ0MCkSZN6ZJGaoL+0tJTS0lIOHDiA2+1m9uzZehBeuHDhiGaeMDatu4NFURRcLhc1NTV0dXVhMpn0bGmkN3IGiyRJHDt2DJfLNWKa24E0xL2leqcK7FqJQ1MAjPT3ZKj4/X7Kysqw2Wzk5+fr59DftF+LxUJXVxd1dXWIosj27dvZsmUL3/nOd8ZFdguRz+q73/0uaWlpPPnkk/E+nFhIBN3BEA6H+eyzz/RA/Omnn2I0GlmyZAlLlixh2bJlFBQUDLlWp+3+j6fNO4joNY8ePUpmZqbuXaHtqGuBKXrZeqpsaaTQOgKrqqpOOxJ+pF5vIA1xtKeGKIo0NTVRW1s7qBrpaKOqKvX19TQ0NFBUVHRadz2IBOKSkhIeffRRjh49SnJyMjNmzGDz5s3jZqNq7969nHPOOcyfP1+/EWzbto01a9bE+cgGJBF0h4Oqqrjdbg4cOEBpaSn79u3j6NGjTJkyRc+Gly1bdloHLb/fT0VFBaqqjpvWXUD3k9U2FU+XrWkbdVogjq6XahniSNRLfT4f5eXlmM1mCgoK4qa57a0h1uw+rVYr2dnZpKamDtjuO5b4fD7Kysp0o/5YkgJVVXnjjTe47777uPPOO/n2t7+NIAg0NjYiiiJTp04dgyM/I0kE3ZFGMy7XsuF9+/bR1tZGQUGBLllbsmQJNpsNt9tNdXU1gUBgXLXuRrcUD0fb2rte6nQ6e4zQ0QJxrCsDreTT2toakxfyWBE9oqagoABRFEfdhzgWVFXV1SWDGZ3T0dHBnXfeid/v5+mnn04E2JElEXTHAlmWKSsro7S0lP3793Pw4EHa2tqQJInrrruOyy67jDlz5oyLcoLWJjt16lSmTZs24lnaQMv06A6z/rJDzXBlPKkl4KRNpdYQ0t9xjaQPcaxoo3M0jXIs75eqqvztb3/jZz/7GXfddRfXXHPNmNbpb7jhBl577TWmTJnCoUOHxux1x5hE0B1rVFXlsssuIycnhzVr1lBRUUFpaam+865ph5ctWzbs8T6DQVuym0ymQY+mGS6KovSQNbndbj07tNlsdHR0oKoqxcXF40YtoW3gaZurg7WpHMiHeLgaYq0Dr7W1leLi4pj1qu3t7WzZsgVJknj66afJyMgY1OuOBO+99x52u53169cngm4/JILuMOjq6uojAdMaIKLLEtooeK02vGTJEhwOx4hmH9FWggUFBeNmya5J5pqbm/uVNTkcjjFtbIimtbWVo0ePjrhpznA1xG63m7KyslNm3b1RVZVXX32Vbdu2cffdd3P11VfHVS1TU1PDpZdemgi6/dDnh+FwmPr6egKBwEgc2BmJ1WolJycnZs2noigcPXpUD8IHDx7E5/Mxd+5cPRDPmzdvSFlp9O7/SAzNHEm0IZW9DbxDoVAPGZcWlKKtL0fTkzcYDFJeXg5AUVHRqK8GYtUQGwwGqqqq6OzsHFTzRVtbG3fccQeCILB9+/ZxobRIBN2B6fPD6upqUlJShjRe/GxAVVXa29txu93DMnMOhUJ88skneiA+dOgQVquVxYsX64H4dDU8r9dLeXm5brYyHhy3oOeSvbi4+LTBIzooacFYkqQ+9ojDbbeNnuqcn58f13bn3hrizs5OvF4vycnJZGZm4nA4TqshVlWV3bt38/DDD/Mf//EfXHXVVePmmj2bg+6gd3QCgQC5ubnj5sMbbwiCwKRJk2htbR3W85jNZlasWMGKFSuAyAXU1dXF/v37KS0tZffu3VRVVZGdnc2SJUv0jrr09HTdfF1VVYqKimLezR5temtuCwsLY/oeCYJAUlISSUlJeg0yeqOuublZP9/enryxZvVer5cjR46QnJzM8uXL477ZKQgCNpsNi8WC2+3GaDSycuVKILJCOHHihD45JFpDnJycjNFopKWlhTvuuAOTycQ777wzbvwyEgwh6AKJgHsaRuP9EQSB1NRULrroIt2VX3OyKikp4YMPPuCJJ56gtrYWWZa56qqruPTSSzGZTLrNZTzx+Xy6xeHSpUuHnXVr0xjsdjtZWVlAz42648eP4/F4dGtELRD3NoKJlqcNRm41FnR2dlJeXk52djYFBQX6cfc+Z01D3NDQwNNPP83evXtxuVysW7eOW265ZcxayxPExqDLC2VlZcyePXv0jugMIR7v03XXXUdSUhLf/va3KS8vZ//+/XzyyScIgsCiRYv0Ro6ioqIxG4AYHdSKiorGPABEy7g060tto85oNNLc3ExmZua4kqdJksTRo0fx+XzMnj07ZiXHiRMnuOOOO7BarVx33X+j+FUAABCBSURBVHUcO3aM/fv3s3Xr1nF1zX7rW99iz549tLW1kZGRwX333ceNN94Y78MaaUaupjseg+69996L3W7nRz/6Ub8/3717N4WFhWNqeByP98ntdvfxJFBVFY/Hw8GDB3X9cEVFBZMmTWLp0qUsXbqUFStWkJmZOeLZsKa5jW4rHg9osjmPx0NSUhLhcJikpKQeMq6xHp6poRnnaGb6sU6q/tOf/sSjjz7K/fffzxVXXBH3lU2CEazpDoW2kERdIMQ0q5l089jVyurq6nA6nezatYvzzz+fwsLCuNfqRpP+TGC0yRLnnXce5513HnByfMy+ffsoKSnh2Wefpbm5mfz8fF0/vHjxYux2+5Au3mAwSEVFBbIss3DhwnGjuYWTExNmzJjBokWLEARB36hzOp20t7dTXV2NJEk9OupSUlJGdXUQDoeprKwkFAqxaNGimI1zmpub2bx5MykpKezZs2fMux3//ve/s2nTJmRZ5qabbmLr1q1j+vpfREY9033lRAebj9RhEgTCqsoTxdNYlzH8USoPPvggv/vd75g2bRqTJ09m6dKlOBwOdu7cSSgUIj8/n+3bt1NVVcXXv/517HY7KSkpvPrqq7zzzjs9Hvf888+PuA/CeFwRnApZlqmoqKCkpIR9+/bx8ccfEwqFmD9/vh6I58yZc8oMUDNbqa+vj/vuf28CgQDl5eWIohjTxARto05TD7jdblRVHfTMtljQ9MC5ubkxrzgUReEPf/gDTzzxBA888ACXXXbZmGe3sixTWFjIW2+9pduj/v73vx/PI3TGkviUF9pCEss++pyAcvJprKLAgVVzh5XxHjx4kA0bNlBaWookSSxZsoRbb72V66+/Xr/T33PPPWRkZHDbbbexYcMGzjvvPFavXk1eXh7t7e39Pm4k+aIF3f4IBAJ8/PHHPUzg7XZ7D5MfrWxQVVVFW1ub3o46VjXj0xF9IygoKBjWsFFZlvF4PHog1jbqopsaBtPmGwqFKC8v17vwYt1cbG5uZtOmTaSlpfHEE0/EbR7cRx99xL333subb74JwEMPPQTAj3/847gczzgjPuWFukAIkyAQiIrdJkGgLhAaVtB9//33WbdunZ6dXnbZZQAcOnSIe+65h66uLjweDxdffLH+b9xut74zfarHJTiJ1Wpl1apVrFq1CjipQd6/fz8lJSW89NJLVFdXI4oiRqORe++9l/z8/HFTu/V4PBw5coQJEyawYsWKYd8IDAYDDoejh8JBm2HmdDppaWnRN+qiGzn6a644ceIEVVVVg7KFVBSFl156iV/+8pds27aNtWvXxrV229DQ0GN8T05ODqWlpXE7ni8Koxp0p1nNhHtl0mFVZZp1+CJ97ctWXl5Oe3s7oihy7bXX8tRTT1FcXMy7777Lvn37gIh1IaBnBBs2bGD37t0sXLiQXbt2sWfPnmEfz9mAIAikp6dzySWXcMkll1BWVsY111zDtddeS3Z2Nnv27OHRRx/F4/EwZ84cPSNesGDBmJp7K4pCdXU17e3tg/IlGAomk4m0tLQe2abW5ut0OqmvrycYDJKUlKRnwk1NTZhMJpYtWxbzhl1TUxObNm1i8uTJvPvuu+Oijbu/VXJiA+/0jGrQTTcbeaJ4Gj/sVdMd7mba6tWr2bBhA1u3biUrK4sPP/yQW265hUAgwDnnnENqaiq333472dnZtLW16TPRtC+E2+1m6tSphMNhXnjhhREZR9LR0UFjYyOBQOALX1aIlfz8fN555x29VHPttdcCkWWzZgL/3HPP8dlnn2EymVi8eLFeHx6tjFjTtmZmZrJs2bK4ZN0Wi4XJkyfrNW1tNNLx48epra3FYrEQDAZ18yNtQkV/mbiiKLz44ots376dhx56iDVr1oybwJaTk0NdXZ3+5/r6el0/nGBgxkQyNhrqBW0jbcaMGeTk5DBnzhySk5N55JFHmDFjBvPnz6e9vZ277rqL9vZ2vve972GxWHj55Zf5xz/+0eNxbrebXbt2Det4/H4/giDoM9eOHz9+1gTf06GqKi6Xq4cJvDbxOLo+PGXKlCEHFG33X7vpjSfFRCAQoKysDIvFoitoFEXRO+qcTidutxuIKFBEUcTpdJKZmckdd9zB1KlTeeyxx8Zdk4MkSRQWFvL222+TnZ3N8uXLefHFF5k7d268D208cGbrdAfis88+Q1VVPYOw2+3MmDFjVF+zvLw8EXRjQJsRV1paqm/Utbe3U1hYqJvAL168uE8HWX/Po7UWD2b3fyzQzrG+vp7CwsLTbnjJsozb7eazzz7jgQceoKysjKlTp3LhhRdy2WWX6ZK/8cTrr7/O7bffjizL3HDDDdx9993xPqTxwtkZdONBIugOHVmWOXz4sJ4Nf/zxx6iqyoIFC/RsuLi4WNdau91ujh07pnsDjxdDH4isfA4fPozdbic/Pz/mTbz6+np+8IMfMG3aNB599FFUVeXAgQMYjcZxGXQTDEgi6I4E5eXlSJLU5++zs7P1pV8i6I4cWi304MGD7Nu3j9LSUt0K0m6309jYyG9+8xuKiorGVXZbV1dHY2MjxcXFMZcEFEXhd7/7HTt27OAXv/gFF1544bg5pwRDIhF0x4pE0B1dqqur+da3vsW0adOYNWsW//znP2lsbGTmzJk9TOAnTJgw5kHL6/VSVlaGw+EYlFa5rq6O2267jby8PB555JFRVVucjj/+8Y/ce++9lJWVsW/fPpYtWxa3Y/mCE9824AQJRoq0tDR27tzJggUL9L/TTOBLSkp44403eOCBBwgEAn1M4Eer/BA9sHIwTmWKorBr1y5+/etf89hjj3H++efHPbudN28er7zyCrfccktcj+NMJhF0R4jOzk6OHz+OJElUVlbS1dU1Kpnu2d7r7nA4egRcAFEUKSwspLCwkPXr1wMRraxmAr9jxw7dBH7JkiV6IJ45c+awJWXa6JxJkyaxfPnymJ/v+PHjbNy4kcLCQj744IOYp0CMNonV2eiTCLojRGpqag/BellZ2Yi/hizLfP/73+/R665NGE7QE4vFwsqVK3Xjb80EXqsNv/LKK1RXV5Odna0H4aVLl8Y8ESW6AWP27Nn9mg0N9O+effZZnnvuOR577DG+9rWvxT27TTC2nBVBd9euXVx00UW6cPu8887j0UcfZdmyZaxZs4YXX3xx3Gkg+2Pfvn3k5+eTl5cHwDXXXMNf/vKXRNCNAc0E/uKLL9bbvrWyQElJCe+//z6PP/44TqeT4uJivYmjP5c0l8tFWVkZGRkZg2rAqKmpYePGjcyZM4e9e/fGLbu94IILaG5u7vP3Dz74IJdffnkcjujsYmyCrrcNumph4gxIHrrhyFDZtWsX8+bN67db5vXXXx/Uc8myHDczl0Sv+8giiiK5ubnk5uZyzTXXAJEmi88//5ySkhJeeOEFtmzZgiiKLF68mAULFvDhhx/y5S9/mauvvjrmceyyLPPss8+ya9cunnzySc4999y4Zrf/8z//E7fXTjAWQfezP8JfbgODCeQwXL4d5n9z2E/7+OOP85vf/AaAm266iSuuuKLHoDvNA2DevHkcOHCAa6+9lqSkJD766KMez5Obm8uBAwdIT0/nv/7rv/jlL39JKBRi5cqV/OpXv8JgMGC329m8eTNvvvkmjz32GK+99hqvvvoqRqORiy66iEcffXTY5xMLiV730cdkMrFo0SIWLVrErbfeqpvA//a3v+Xhhx8mLy+PHTt28Morr+jddMuXLycjI6Pfz6K6uprbbruN+fPn88EHH8QcqBOcuYxu0PW2RQKu5I/8AvjLRsg7b1gZ78GDB3nuuecoLS1FVVVWrlzJueee2+9jv/nNb7J9+3a9nDAQZWVl/Pd//zcffPABJpOJf//3f+eFF15g/fr1eL1e5s2bx/33309HRwc33ngjR44cQRAEurq6hnwegyXR6z72aCbwfr+f9957j7y8PFRVpampSTeB37lzJy0tLboJ/LJly1i4cCG///3vef7553nqqac455xzvhA3yD//+c/cdttttLa2snbtWhYtWqRbNyYYGUY36HbVRjJcLeBC5M9dtcMKunv37mXdunV61nDllVfy/vvvD+tQ3377bQ4ePMjy5cuBSEeRZrlnMBj4xje+AcCECROwWq3cdNNNrF27lksvvXRYrzsYli9fTmVlpb4B9NJLL/Hiiy+O6mvecMMNvPbaa0yZMuVMHpd9WrZs2aL/XhAEsrKyuOKKK7jiiiuASAmhvLxcn9R86623smLFCj744IMRN8gfTdatW8e6devifRhnNKMbdCfOiJQUopHDkb8fBv0ts7u6ulAURf9zIBAY9HN+97vf1Y2Yo7FarXod12g0sm/fPt5++21eeukltm/fzjvvvDPIMxgaRqOR7du3c/HFF+u97qNtLrJhwwY2btyoS7ES9I/BYGDOnDnMmTOH66+/Pu4TmLds2cJf//pXzGYzs2bN4rnnnvtCbBafDYyu711yeqSGa0wCy4TI/y/fPuzNtNWrV7N79258Ph9er5c///nPXHLJJbS0tNDe3k4wGOS1117TH5+SkqK7OA3E+eefz8svv0xLSwsQsWqsra3t8zhtcsCaNWt48skn+eSTT4Z1LoNlzZo1VFRUcOzYsTExF1m9enXcJhN8kYl3KeHCCy/k0KFDfPrppxQWFvabTCSID6O/kTb/m5Ea7giqF5YsWcKGDRtYsWIFENlIW758OT/5yU9YuXIlM2fOpLi4WH/8hg0buPXWW/vdSNOYM2cODzzwABdddBGKomAymXj66af7uJK53W4uv/xyAoEAqqryxBNPDPt8EiQYaS666CL991/60pd4+eWX43g0CaJJeC+MEmfS+1RTU9NDGZLgi8XXv/51rr76ar7zne/E+1DOJhLeCwkSnGnE0uTw4IMPYjQa9akeCeJPIugmGHfU1dWxfv16mpubEUWRm2++mU2bNsX7sMYdp2ty+O1vf8trr73G22+/Hfcac4KTDGkj7TQlibOeM+n9+da3vsWqVat0y8pnn3121F/TaDTy2GOPUVZWRklJCU8//TSHDx8e9dc9k/j73//Oz3/+c1599dUvlGTtbGDQNd3q6mpSUlJiNgY529DGlLvdbmbOnBnvwzkjuPzyy9m4cSMXXnhhvA/lC0N+fj7BYFAfGvqlL32JZ555Js5HdVYxcibm4XCY+vr6QetgzyasVis5OTkxj9dOMDA1NTWsXr2aQ4cOxdXcO0GCQTJyG2kmkymRwSUYEzweD9/4xjd48sknEwE3wRnD6DZHJEgwRMLhMN/4xje49tprufLKK+N9OAkSjBiDLi8kSDDaaC3ZaWlpPPnkk2PymoFAgNWrVxMMBpEkiW9+85vcd999Y/LaCc5IRq6mmyDBaLN3717OOecc5s+frxuEb9u2jTVr1ozaa6qqitfrxW63Ew6H+cpXvsJTTz3Fl770pVF7zQRnNEMOugkSnHUIgmAD9gLfU1U14RKfYERJ1HQTJOhGEASDIAifAC3AW4mAm2A0SATdBAm6UVVVVlV1EZADrBAEYV68jynBmUci6CZI0AtVVbuAPcD/ifOhJDgDSQTdBAkAQRAmC4Iwsfv3ScAFwJH4HlWCM5GE4U2CBBGmAr8VBMFAJBn5g6qqr53m3yRIMGgS6oUECRIkGEP+HzGjKPphdz3QAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -707,7 +734,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -716,13 +743,13 @@
        "Text(0.5, 1.0, 'Persistence diagram of the alpha-complex')"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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BDcCV7j49UfHURwUVdKHLDvPa054KKpIUkYiks48++oj8/Hzat2/P22+/Td++O50akyKRPYIngTNrWX4W0Cv8uRp4MIGx1Es22axhzQ7z1rCGbLKTFJGIpKPly5fzv//7v1xwwQVcf/31vPPOOymTBCCBicDdJwLf1NJkEPCUByYDHczsO4mKpz4GM5jVrGYVq9jGNlaxitWsZjCDkx2aiKSBqqoq7r//fvr27cvee++dEmWgWJJ51VAXYGHE9KJw3tLohmZ2NUGvge7duzdJcAB55DGKUTtcNTSc4bpqSETqlKploFiSmQhipUSP1dDdHwEeAcjNzY3ZJlHywn8iIvFYvnw5I0aM4PXXX+euu+7i4osvTrkeQLRkXjW0COgWMd0VWJKkWEREGqS6DNSnTx/22WcfysvLueSSS1I+CUByewTjgAIzex44Bljt7juVhUREUt2HH35Ifn4+HTp04N1336VPnz7JDmmXJPLy0b8AJwMdzWwR8DtgNwB3fwiYQHDp6HyCy0d/mqhYREQSYfny5dx00038+9//5q677uKiiy5Kix5AtIQlAne/pI7lDuQnavsiIolSWVnJQw89xK233sqVV15JeXk57dq1S3ZY9aZ7DYmI7IIPPviA/Px89tlnH9577z169+6d7JAaTIlARCQOX331FTfddBNvvvlmWpeBYtG9hkREalFZWcmf/vQn+vbtS6dOnSgvL0+LS0J3hXoEIiI1aI5loFiUCEREokSWgUaPHs1PfvKTZtUDiKbSkIhIKLIMtN9++1FeXt6sxgJqoh6BiAjw/vvvk5+fT8eOHZt1GSgWJQIRyWhfffUVN954I2+//TZ33XVXsy8DxaLSkIhkpMrKSsaOHUvfvn3Zf//9KSsry4gyUCzqEYhIxoksA02cOJGcnJxkh5RUSgQikjEiy0CjR4/mwgsvzMgeQDSVhkSk2YssAx1wwAGUl5dn5FhATdQjEJFmbdKkSRQUFNCpUyeVgWqgRCAizdKyZcu48cYbeeedd7j77ru54IIL1AOogUpDItKsVFZWcu+993L44YfTuXNnysvLNRZQB/UIRKTZmDRpEvn5+ey///5MmjSJww47LNkhpQUlAhFJe8uWLeOGG27gvffeY/To0SoD7SKVhkQkbVVWVjJmzBgOP/xwunTpQllZmcpA9aAegYikpYkTJ1JQUKAyUCNQIhCRtLJ06VJuvPFG3nvvPe6++27OP/989QAaSKUhEUkL1WWgfv360bVrV8rKyjQW0EjUIxCRlDdx4kTy8/P5zne+w/vvv8+hhx6a7JCaFSUCEUlZS5cu5YYbbmDixIkqAyWQSkMiknK2bt3KPffcw+GHH063bt0oLy9XGSiBEtojMLMzgXuBlsCj7v6HqOXdgWKgQ9hmhLtPSGRMIpLa3nvvPfLz8+ncuTMffPCBykBNIGGJwMxaAvcDZwCLgKlmNs7dyyKa3Qy84O4PmllvYALQM1ExiUjqWrJkCTfccAOTJk3innvu4cc//rF6AE0kkaWhPGC+uy9w9y3A88CgqDYOtA8fZwFLEhiPiKSgrVu3cvfdd9OvXz969OhBeXm5xgKaWCJLQ12AhRHTi4BjotrcArxhZoVAW+D0WCsys6uBqwG6d+/e6IGKSHK8++67FBQU0KVLF5WBkiiRPYJY6dyjpi8BnnT3rsDZwNNmtlNM7v6Iu+e6e26nTp0SEKqINKUlS5Zw6aWXMnjwYEaNGsVrr72mJJBEiUwEi4BuEdNd2bn0cxXwAoC7fwS0ATomMCYRSaKtW7cyevRo+vXrR3Z2NmVlZRoLSAGJLA1NBXqZWTawGLgYuDSqzZfAacCTZpZDkAhWJDAmEUmSd999l/z8fLp27cqHH37IIYcckuyQJJSwRODulWZWALxOcGno4+5eamajgGnuPg4YDvzZzIYRlI2udPfo8pGIpLElS5Zw/fXX88EHH3DPPffwox/9SD2AFJPQzxGEnwmYEDVvZMTjMuC4RMYgIsmxdetWxo4dy+23384vfvEL/vznP9O2bdtkhyUx6BYTItLo3nnnHQoKCujWrZvKQGlAiUBEGs3ixYu5/vrr+fDDDxkzZgznnXeeykBpQPcaEpEG27p1K3fddRdHHHEEBx10EOXl5RoLSCPqEYhIg0SWgT766CN69eqV7JBkFykRiEi9VJeBPvroI+655x6VgdKYSkMiskuiy0BlZWUqA6U59QhEJG5vv/02BQUF9OjRQ2WgZkSJQETqtHjxYoYPH87kyZMZM2YMgwYNUg+gGVFpSERqtGXLFu68806OOOIIevXqRVlZmcYCmiH1CEQkprfeeouCggKys7NVBmrmlAhEZAeLFi1i+PDhTJkyhXvvvZdzzz1XPYBmTqUhEQGCMtAdd9zBkUceyaGHHkpZWZnGAjKEegQiskMZaPLkyRx88MHJDkmakBKBSAarLgOVlJQwZswYlYEylEpDIhkougxUWlqqMlAGU49AJMO8+eabFBYWcuCBB6oMJIASgUjGWLRoEddddx1Tp07l3nvv5ZxzzlEPQACVhkSavS1btvDHP/6RI488kpycHMrKyjQWIDtQj0CkGXvzzTcpKCjg4IMPZsqUKRx00EHJDklSkBKBSDO0cOFChg8fzrRp07aXgURqotKQSDNSXQY66qij6N27N6WlpUoCUqe4ewRmdizQM/I57v5UAmISkXr497//TWFhIb169VIZSHZJXInAzJ4GDgI+AarC2Q4oEYjUQwklFFNMBRVkk81gBpNHXr3WtXDhQq677jo+/vhjlYGkXuItDeUCx7n7te5eGP4MqetJZnammc0zs/lmNqKGNj8xszIzKzWz53YleJF0VEIJIxnJSlbShS6sZCUjGUkJJbu0ni1btvCHP/yBo446ir59+6oMJPUWb2loDnAAsDTeFZtZS+B+4AxgETDVzMa5e1lEm17ArwiSzLdmtl/ckYukqWKKySKLDnQA2P67mOKdegU19RzeeOMNCgsLOfTQQykpKeHAAw9s8v2Q5qPWRGBm4wlKQO2AMjMrATZXL3f3c2t5eh4w390XhOt6HhgElEW0+Tlwv7t/G65veX12QiSdVFBBF7rsMK897amgYod51T2HLLK29xxu+PIGWl7Xki9mfMG9997LD3/4w6YMXZqpunoEdzVg3V2AhRHTi4BjotocAmBmHwAtgVvc/bUGbFMk5WWTzUpWbu8JAKxhDdlk79AusudQtbmKirsrmDl6JkcUHsGcp+ewxx57NHXo0kzVmgjc/T0AM/uju98UuczM/gi8V8vTY31s0WNsvxdwMtAVmGRmfd19VdS2rgauBujevXttIYukvMEMZiQjgaAnsIY1fMmXVFHF2Zy9vQRU3XNY9MYiPij8gKxDsziv5DzWHriWPVASkMYT72DxGTHmnVXHcxYB3SKmuwJLYrT5p7tvdfcKYB5BYtiBuz/i7rnuntupU6c4QxZJTXnkcREXUUopL/My05jGGtbQkpY7DB7zJbx2wWtMumYSA0YP4MxxZ8KB7NRzEGmoWhOBmV1jZrOBQ81sVsRPBTC7jnVPBXqZWbaZtQYuBsZFtXkZOCXcVkeCUtGC+uyISLoooYRHeIRNbKINbVjJSpaxjC1soQUtaLe5HUtuX8JbR7/F7v1253ul36PbD7uxilWsZjWDGZzsXZBmpq4ewXPAOQQn8HMifr7r7pfV9kR3rwQKgNeBcuAFdy81s1FmVj3I/DrwtZmVAe8AN7j71/XeG5E0cAd3UEEFjrMXe7GVrWxgAzOZycLXF/Li4S+yevJqBk4dyHMjn2P/NvuzmMV0pCOjGFXvzxuI1MTco8v2tTQOLu9sUz3t7l8mIqja5Obm+rRp05p6syKNpgc9aElLdmd3AJaxjE1fbmLrsK3s+cmeHDf2ONr/oD0d6cj93J/kaKW5MLOP3T031rK4xgjM7Bwz+w9QQTBA/DnwaqNFKJKhtm3eBv8PNh29CTvCOL/0fNr/oL1KQNKk4h0s/j0wAPjU3bOB04APEhaVSDPWn/5sYAPfvvYtFYdXsGXKFrKmZtFtZDe+avOVSkDS5OL9ZPFWd//azFqYWQt3fye8fFREdtEVX1zB28PeZu3MtWSNzaLDDzrQkY6MZaxO/pIU8SaCVWa2FzAJeNbMlgOViQtLpPnZvHkzd911F3fffTcXDr0QnoOFbRY2+KZzIg0VbyIYBGwEhgKXAVnAqEQFJdLcvPbaaxQWFtKnTx+mTZtGdrY+CyCpI65E4O7rzawH0Mvdi81sT4JbQohILT7//HOGDRvG7NmzGTt2LGeffXayQxLZSbxXDf0ceBF4OJzVheDDYCISw6ZNm/j9739Pbm4u3/3ud5kzZ46SgKSseEtD+QR3E50C4O7/0S2jRWJ79dVXGTJkCH379mXatGn07Nkz2SGJ1CreRLDZ3beYBfeRM7NW7HwDOZGMVl0GmjNnDmPHjuWss+q6HZdIaoj3cwTvmdmvgT3M7Azgb8D4xIUlkj6iy0CzZ89WEpC0Em+PYARwFcGN5n4BTAAeTVRQIuni1VdfpbCwkMMPP1xlIElb8V41tM3MXgZedvcVCY5JJOV9/vnnDB06lNLSUv70pz+pByBpra7bUJuZ3WJmK4G5wDwzW2FmI5smPJHUsmnTJm677TZyc3Pp37+/ykDSLNQ1RjAUOA7o7+77uvs+BF83eZyZDUt4dCIpZMKECfTt25cZM2bw8ccf85vf/IY2bdrU/USRFFdXaeh/gDPcfWX1DHdfYGaXA28A9yQyOJFUEFkGuu+++zjzzDOTHZJIo6qrR7BbZBKoFo4T7JaYkERSQ3QZaM6cOUoC0izV1SPYUs9lImntX//6F0VFRfTr14+PP/6YHj16JDskkYSpKxEcYWZrYsw3Ir6pTKS5qKioYOjQoZSVlakMJBmj1tKQu7d09/Yxftq5u0pD0mxs2rSJUaNGkZubyzHHHKMykGSUeD9QJtJs/etf/2LIkCEceeSRTJ8+XWUgyThKBJKxKioqKCoqYu7cuTzwwAN8//vfT3ZIIkkR772GRJqNjRs3cuutt9K/f38GDhzI7NmzlQQko6lHIBnllVdeoaioiKOOOorp06fTvXv3ZIckknRKBJIRFixYwNChQ5k3bx4PPvgg3/ve95IdkkjKSGhpyMzONLN5ZjbfzEbU0u4CM3Mzy01kPJJ5qstAeXl5DBw4kFmzZikJiERJWI/AzFoC9wNnAIuAqWY2zt3Lotq1A4YQfvuZSGN55ZVXGDJkCEcffbTKQCK1SGRpKA+Y7+4LAMzseWAQUBbV7jbgDuD6BMYiGWTBggUUFRXx6aef8tBDD6kHIFKHRJaGugALI6YXhfO2M7OjgG7u/kptKzKzq81smplNW7FCX4cgsW3cuJFbbrmFvLw8jjvuOJWBROKUyERgMeZt/55jM2tBcPfS4XWtyN0fcfdcd8/t1KlTI4YozcX48ePp06cPpaWlTJ8+nREjRrD77rsnOyyRtJDI0tAioFvEdFdgScR0O6Av8K6ZARwAjDOzc919WgLjkmYksgz08MMPc8YZZyQ7JJG0k8gewVSgl5llm1lr4GJgXPVCd1/t7h3dvae79wQmA0oCEpdYZSAlAZH6SViPwN0rzawAeB1oCTzu7qVmNgqY5u7jal+DSGzjx4+nqKiI7373u8yYMYNu3brV/SQRqVFCP1Dm7hOACVHzYn7fsbufnMhYJP199tlnFBUVMX/+fJWBRBqR7jUkKW/jxo387ne/45hjjuGEE05QGUikkekWE5Ky3H17Gah///4qA4kkiBKBpKTPPvuMIUOG8Nlnn/HnP/+Z008/PdkhiTRbKg1JStmwYQMjR47kmGOO4aSTTmLWrFlKAiIJph6BpAR3Z9y4cQwdOpS8vDw++eQTunbtmuywRDKCEoEk3fz58ykqKmLBggUqA4kkgUpDkjTVZaABAwZw0kknMXPmTCUBkSRQj0CanMpAIqlFiUCa1Pz58xkyZAgVFRU8+uijnHbaackOSSTjqTQkTWLDhg389re/ZcCAAZxyyinMnDlTSUAkRahHIAnl7vzzn/9k6NChDBgwQGUgkRSkRCAJ85///IchQ4bwxRdf8Nhjj6kHIJKiVBpKASUlkJ8PZ/MP9vsAABDoSURBVJ8d/C4pSXZEDbNhwwZuvvlmBg4cyKmnnsonn3yiJCCSwpQIkuyJJ+Dcc4PfEyfCyy9DUVFqJoNzzoGWLcEs+NltN+jRAy64IIjX3fnHP/5B7969mT9/Pp988gk33HADrVu3TnboIlILlYaSqKQEfvUrWLUqOKmawbffwsaNcMcd8OKLyY7wv845B16J+mbpykpYtAg2b4b58//DHnsUsnr1lzz++OOceuqpyQlURHaZegRJVFwMa9dC69bQqlXwbrtVq+AEO3VqsqPbUXQSqLZt23rWrPkNs2cPpEWLM5g5c6aSgEiaUSKIQwklnMqptKMde7AHB3IgT/BEg9dbURH0AiK1aBEkgtTjUT/bgJeA3mzcWMH++88kK2s4u+22WzKDFJF6UGmoDiWUcBVXMY957MZutKIVS1jCUIYC8FN+Wu91Z2fDrFnwzTfBdGQS6N+/oZE3nhJKgMiAPgWKgIXAE8Cp7LlnsD8ikn7UI6hDMcV8yZe0Dv+1ohWtaU0VVYxmdIPWPXgwdOsGe+wRTG/ZAtu2BSfUG29shOAbSTHF4aP1wG+A44DTgRnAKQB07Bjsj4ikHyWCOlRQwWY20yqi89SCFjjOV3zVoHXn5cG998Ipp8Dee0OnTsElpE88ESxLFQt8AUEZqA/wOTATGA78tww0dmxqxSwi8VNpqA7ZZLM7u1NJJbuFJ75tbMMw9mf/Bq8/Ly+1rg6K9umnn1JaWAqtfg2VTwInR7Wo4uabWykJiKQx9QjqMJjBdKc7W8J/lVSyhS20pCXDGZ7s8BJm/fr1/PrXv+bYY4/lx9//Mf03dIBuPQgGigl/V/HTm5dx221JDFREGkyJoA555PEYj3E8x9OCFlRSSWc6M4YxDRooTlXuzksvvUTv3r354osvmDVrFmOuG8N9u93H+V/eSHfPprv35Hz/CVN8Oo/fpvsGiaQ7c/e6W6WQ3NxcnzZtWrLDaJY+/fRTCgsLWbx4Mffddx8nn3xyskMSkUZiZh+7e26sZQntEZjZmWY2z8zmm9mIGMuvM7MyM5tlZm+ZWY9ExiOxRZaBvv/97zNjxgwlAZEMkrBEYGYtgfuBs4DewCVm1juq2Qwg1937AS8CdyQqHtlZdRkoJydnexnouuuu04fCRDJMIq8aygPmu/sCADN7HhgElFU3cPd3ItpPBi5PYDwSYd68eRQWFrJkyRKefvppTjrppGSHJCJJksjSUBeCj55WWxTOq8lVwKuxFpjZ1WY2zcymrVixohFDzDzr16/nV7/6FccddxxnnXUWM2bMUBIQyXCJTAQWY17MkWkzuxzIBe6MtdzdH3H3XHfP7dSpUyOGmDncnRdffJGcnBwWLlzI7NmzGTZsmMpAIpLQ0tAioFvEdFdgSXQjMzud4L4FJ7n75gTGk7Hmzp1LYWEhy5YtUxlIRHaSyB7BVKCXmWWbWWvgYmBcZAMzOwp4GDjX3ZcnMJaMtG7dOkaMGMHxxx/PD37wA6ZPn64kICI7SVgicPdKoAB4HSgHXnD3UjMbZWbnhs3uBPYC/mZmn5jZuBpWJ7vA3fnb3/5G7969Wbx4MbNnz2bo0KEqA4lITAm915C7TwAmRM0bGfH49ERuPxNFloGeeeYZTjzxxGSHJCIpTreYaCaqy0AnnHDC9jKQkoCIxEOJIM1Vl4FycnJYvHgxs2bNUhlIRHaJbkOdxubOnUtBQQHLly/n2WefVQ9AROpFPYI0tG7dOm666SZOOOEEzjnnHJWBRKRBlAjSiLvzwgsvkJOTw9KlS5k9ezZFRUW0aqWOnYjUn84gaaK8vJzCwkKWL1/Oc889xwknnJDskESkmVCPIMVVl4FOPPHE7WUgJQERaUxKBClKZSARaSo6q6Sg8vJyCgoKWLFihcpAIpJw6hHEoYQS8snnWI6lL305lmPJJ58SShp1O2vXruXGG2/kxBNPZNCgQSoDiUiTUI+gDiWUMJKRVFLJfOazlrVsYQvTmc5LvMTt3L79S+xLKKGYYiqoIJtsBjOYPPJ2Wl90m/7enxdeeIHhw4dz2mmnMXv2bA444IBk7K6IZCB9eX0d8slnJSt5m7dZycrt81vSkla0IossxjMegJGMJIss2tOeNaxhNasZxajtyaA6qUS2WVy2mM2Fm9mycgv3338/xx9/fJPtm4hkjtq+vF49gjpUUMF61u+QBACqqKIFLVjLWoopBiCLLDrQAWD772KKtyeCYoq3t9mydgtzR81l3pPz6D+yPx9d85EGgkUkKTRGUIdssmscC9jKVjazmVd4hRnMoD3td1jenvZUULF9uoIK2nk75j8/n7/l/I1NKzZx/pzzaVfYTklARJJGZ586DGYwD/BAjcu3sY0vw38f8REWfkOnR3wr59EczUM8RFZZFuMLxlP1TRWn/fU0DjjuAFaximyyE74fIiI1USKoQ/Rgb108xtcyz1g7gzNGncG2J7fRdWRX+l7Tlw6tOrCKVaxmNcMZ3ljhiojsMpWGEsmB54EcWLtiLRfMuYDiwmL2a7Ufi1lMRzruMJgsIpIM6hEkSilQCHwD/BU4Dr7iK/LCfyIiqUI9gsa2FrgeOBn4MTANOA5a0UpjASKSkpQIalJSAvn5cPbZsA1ilP535MBfgBzga2AOUMD2PlcXujCYwYmLV0SknlQaiqWkBEaOhKws5nVZH5zkjf/+jlYK5AOrgReAY3dcfAiH8DRPqyQkIilJiSCW4mJ4/31Yv57sVrDfLbC8c4x2a4BbgaeA3wG/ZIdXtAUteJRHt9+CQkQkFak0FMsTT8D69TiwuTUMHw3tvyEoEUHQM3iOoAz0DUGPIKIMBMGYgJKAiKQD9Qhi2bhx+8MWDhf8HVpsg3E/gkn7Epz0VwN/Y6cyEMB+7Md4xqsUJCJpIaE9AjM708zmmdl8MxsRY/nuZvbXcPkUM+uZyHh2RfXYcOvNsN8KGPQsrP8tcApwIcHVQDGSwM3cvP0yURGRdJCwHoGZtQTuB84AFgFTzWycu5dFNLsK+NbdDzazi4E/AhclKqb6aLkNXtoIIzbCsTNh+n+A/XZudyAH8hmfNXl8IiINlcjSUB4w390XAJjZ88AgIDIRDAJuCR+/CNxnZuYpcm/s6itA1zi8BOStgd1iJIFYt5UQEUkXiSwNdQEWRkwvCufFbOPulQSV932jV2RmV5vZNDObtmLFigSF+19rgOuAU4GfAFOBgTHadaazkoCIpL1EJoJYV9xHnzXjaYO7P+Luue6e26lTp0YJLhZ359lnn+Uwgow0B7gWaBnVrgUtcJzFLE5YLCIiTSWRiWAR0C1iuiuwpKY2ZtYKyCK4ILPJzZ49m5NPPpnRo0fzEvA4UJ1yHKgCpuYGg8FVVCUjRBGRhEhkIpgK9DKzbDNrDVwMjItqMw6233fhAuDtph4fWL16NcOGDeO0007joosuYurUqQwMQ2hB0GVpQTCYMnCqcxu3NWV4IiIJl7BEENb8C4DXgXLgBXcvNbNRZnZu2OwxYF8zm09Qlt/pEtMExsczzzxDTk4Oa9asobS0lGuvvZaWLVtWN9j5R0SkGUroB8rcfQIwIWreyIjHmwiuym9Ss2fPJj8/n3Xr1vHSSy8xcGCsoWARkcyQUbeYiCwDXXLJJUEZSElARDJcRiSCyDLQ2rVrKS0t5ZprrvlvGUhEJIM1+3sNzZo1i4KCAtavX8/f//53BgwYkOyQRERSSrPtEaxevZqhQ4dy+umnc8kll1BSUqIkICISQ7NLBO7O008/TU5ODuvWrVMZSESkDs2qNDRr1izy8/PZsGGDykAiInFqFj2C1atXU1RUxOmnn85ll12mMpCIyC5I60Tg7jz11FPk5OSwYcMGysrK+OUvf6kykIjILkjb0tDMmTMpKChg48aN/OMf/+CYY45JdkgiImkp7XoEVVVVFBUVccYZZ3D55ZczZcoUJQERkQZIux5BaWkp/fv3p6ysjI4dOyY7HBGRtGcp8mVgcTOzFcAXTbjJjsDKJtxeU9K+pZ/mul+gfUu0Hu4e8wtd0i4RNDUzm+buucmOIxG0b+mnue4XaN+SKe3GCEREpHEpEYiIZDglgro9kuwAEkj7ln6a636B9i1pNEYgIpLh1CMQEclwSgQiIhlOiSBkZmea2Twzm29mI2Is393M/houn2JmPZs+yvqJY9+uM7MyM5tlZm+ZWY9kxLmr6tqviHYXmJmbWcpevhctnn0zs5+Ef7dSM3uuqWOsrziOx+5m9o6ZzQiPybOTEeeuMrPHzWy5mc2pYbmZ2dhwv2eZ2dFNHWON3D3jf4CWwGfAgUBrYCbQO6rNtcBD4eOLgb8mO+5G3LdTgD3Dx9ekw77Fs19hu3bARGAykJvsuBvxb9YLmAHsHU7vl+y4G3HfHgGuCR/3Bj5Pdtxx7tuJwNHAnBqWnw28ChgwAJiS7Jirf9QjCOQB8919gbtvAZ4HBkW1GQQUh49fBE4zM2vCGOurzn1z93fcfUM4ORno2sQx1kc8fzOA24A7gE1NGVwDxbNvPwfud/dvAdx9eRPHWF/x7JsD7cPHWcCSJoyv3tx9IvBNLU0GAU95YDLQwcy+0zTR1U6JINAFWBgxvSicF7ONu1cCq4F9myS6holn3yJdRfCuJdXVuV9mdhTQzd1facrAGkE8f7NDgEPM7AMzm2xmZzZZdA0Tz77dAlxuZouACUBh04SWcLv6f7HJpN1N5xIk1jv76Otq42mTiuKO28wuB3KBkxIaUeOodb/MrAVwD3BlUwXUiOL5m7UiKA+dTNCDm2Rmfd19VYJja6h49u0S4El3H21mA4Gnw33blvjwEiplzyHqEQQWAd0ipruyc3d0exsza0XQZa2tG5gq4tk3zOx04DfAue6+uYlia4i69qsd0Bd418w+J6jJjkuTAeN4j8d/uvtWd68A5hEkhlQXz75dBbwA4O4fAW0IbtqW7uL6v5gMSgSBqUAvM8s2s9YEg8HjotqMAwaHjy8A3vZwBCjF1blvYQnlYYIkkC615lr3y91Xu3tHd+/p7j0Jxj7OdfdpyQl3l8RzPL5MMMiPmXUkKBUtaNIo6yeeffsSOA3AzHIIEsGKJo0yMcYB/xNePTQAWO3uS5MdFKg0BAQ1fzMrAF4nuKrhcXcvNbNRwDR3Hwc8RtBFnU/QE7g4eRHHL859uxPYC/hbOP79pbufm7Sg4xDnfqWlOPftdeB7ZlYGVAE3uPvXyYs6PnHu23Dgz2Y2jKB0cmU6vOkys78QlOo6huMbvwN2A3D3hwjGO84G5gMbgJ8mJ9Kd6RYTIiIZTqUhEZEMp0QgIpLhlAhERDKcEoGISIZTIhARyXBKBCJ1MLMqM/vEzGaa2XQzOzac39nMXqzhOT3N7NKI6SvN7L6millkVygRiNRto7sf6e5HAL8Cbgdw9yXufkF04/CT5z2BS6OXiaQifaBMZNe0B76F4F0/8Iq79zWzK4EfEHwKti2wJ5BjZp8Q3LX2W6Czmb0GHAT8w91vbPLoRWJQIhCp2x7hCb0N8B3g1BraDQT6ufs3ZnYycL27/xCC0hBwJHAUsBmYZ2Z/cveFNaxLpMmoNCRSt+rS0GHAmcBTNXwXxb/dvbYbEb4V3gNpE1AGpMU3wUnzp0QgsgvCu2F2BDrFWLy+jqdH3tW1CvXIJUUoEYjsAjM7jOBmaXXd4G0twa2wRVKe3pGI1K16jACCLxcZ7O5VdXxT6Syg0sxmAk8SDjCLpCLdfVREJMOpNCQikuGUCEREMpwSgYhIhlMiEBHJcEoEIiIZTolARCTDKRGIiGS4/w9jKTC6e9sRWAAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -761,12 +788,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -778,7 +805,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -829,14 +856,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Alpha Weighted Rips Complex is of dimension 3 - 58490 simplices - 1400 vertices. Filtration maximal value is inf.\n"
+      "Alpha Weighted Rips Complex is of dimension 3 - 57875 simplices - 1400 vertices. Filtration maximal value is inf.\n"
      ]
     },
     {
@@ -845,13 +872,13 @@
        "Text(0.5, 1.0, 'Persistence diagram of the Alpha-DTM-filtration with parameter p =1')"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -888,14 +915,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Alpha Weighted Rips Complex is of dimension 3 - 58490 simplices - 1400 vertices. Filtration maximal value is inf.\n"
+      "Alpha Weighted Rips Complex is of dimension 3 - 57875 simplices - 1400 vertices. Filtration maximal value is inf.\n"
      ]
     },
     {
@@ -904,13 +931,13 @@
        "Text(0.5, 1.0, 'Persistence diagram of the Alpha-DTM-filtration with parameter p=1')"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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XuHoJCm5g0uxgyQpAVZMDln8OeKemZGWMMaZ1CVcvwVNwI7CvEJHKL1m7E+97o1TVrlsZY4ypUVgSlqrOpR5fUKaq1zZfNMYYY2KRDc1kjDEmJljCMsYYExMsYRljjIkJlrCMMcbEhJgerb3SypUr+eCDD+jXrx/HHnssb7/9Nn369OGXv/xl0+zA54OMDMjJgeRkSEuD1NSm2bYxxpg6aREtrK+++oopU6bQrl07Pv74YyZPnkzv3r3ZunVr4zfu88HUqZCbCz17ur9Tp7rpxhhjwqZFJKzK0To6duxISUkJfr8fVaVJRvHIyICuXSEpCeLi3N+uXd10Y4yJIWVlZcyePTvSYTRY2IZmag4HHXSQ/vznP2fnzp1s3ryZTp060a1bNzZs2EDHjh3p169f43cyZw507PjD6QUFMGJE47dvjDFhsHXrVubOnUuHDh3YsmWLDc0Ubn369OHJJ59s3p2kp7syYFLS/mm7d0P37vDYY827b2OMaaStW7dy6623snTpUmbNmsUvfvEL4uJis7gWm1GHU1oa5OW5JOX3u795eW66McZEqbKyMmbMmMFxxx1H7969yc7O5tJLL8UN7RqbYrqFFRapqTBtWtVeglOmWC9BY0zU+vTTT0lPT6dHjx588cUXHHPMMZEOqUlYwqqL1FRLUMaYqPftt99y66238vnnnzNjxgx+/vOfx3SLqjorCRpjTIwrKyvjoYce4vjjj6dPnz5kZ2fzi1/8okUlK7AWljHGxLRPPvmEcePG0bNnzxZV/gvGEpYxxsSgb7/9lt/85jd88cUXzJgxg5/97GctrkVVnZUEjTEmhpSVlfHggw9y/PHHk5ycTFZWVou7VhWKtbCMMSZG/O9//2PcuHH06tWLefPmcfTRR0c6pLCyhGWMMVFuy5Yt/OY3v2HevHmtpvwXjJUEjTEmSpWVlfHAAw8waNAgjjjiiFZV/gsmLC0sEekNPA8cCviBWar6cLVlrgRu9+7uBW5S1WXhiM8YY6JNZfmvd+/erbL8F0y4SoLlwBRVXSwinYFFIvKRqmYFLJMDnK6qu0RkBDALGBam+IwxJioElv9mzpzJJZdc0mpbVNWFpSSoqltVdbF3ew+QDfSstsw8Vd3l3V0A9ApHbMZEAx8+0klnJCNJJx0f9n1rrU1g+e/II48kOzu71V6rCiXs17BEpC9wAvBlDYuNBuaEWH+MiGSKSOb27dubPkBjwsyHj6lMJZdcetKTXHKZylRLWq3I//3f/zFo0CA+/vhj5s+fz5/+9Cc6dOgQ6bCiTlh7CYpIJ+A1YJKq5odY5kxcwjo12HxVnYUrF5KSkhK7X+ZljCeDDLrSlSTcV9hU/s0gg1RsDMuWbMuWLUyZMoUFCxYwY8YMK//VImwtLBFpg0tWL6jq6yGWOR54GrhYVXeEKzZjIimHHLrQpcq0LnQhh5wIRWSaW2lpKffffz+DBg2iX79+ZGVlWfmvDsLVS1CAZ4BsVX0oxDKHA68DV6vq6nDEZUw0SCaZXHL3tawA8sknmeQIRmWay3//+1/GjRtH3759mT9/PkcddVSkQ4oZ4SoJngJcDawQkaXetDuBwwFU9QlgKtANeNx7l1Eei1/hbEx9pZHGVKYCrmWVTz555DGFKRGOzDSlzZs3M2XKFL788ktmzpzJxRdfbC2qehLV2L0MlJKSopmZmZEOw5hG8+EjgwxyyCGZZNJIs+tXLURpaSkzZ85k+vTp3HTTTdxxxx0R71AhIotisUFgQzMZEwVSvR/TslSW/5KTk6381wQsYRljTBOrLP/5fD5mzpzJRRddZOW/JmBjCRpjTBMpLS1l+vTpDB48mGOOOYZVq1bZtaomZC0sY4xpAh9//DHjx4/niCOOYMGCBfTr1y/SIbU4lrCMMaYRNm/ezC233MLChQt5+OGHufDCC61F1UysJGiMMQ1QWlrKfffdx+DBg+nfvz9ZWVl2raqZWQvLGGPq6eOPP2bcuHEceeSRfPnllxx55JGRDqlVsIRljDF1tGnTJqZMmWLlvwixkqAxxtSisvx3wgknWPkvgqyFZYwxNfjoo48YP348/fr1s/JfhFnCMsaYIDZt2sQtt9zCokWL9pX/TGRZSdAYYwKUlpZy7733MnjwYAYOHMiqVassWUUJa2EZY4znww8/ZPz48Rx99NH4fD4r/0UZS1jGmFZv48aN3HLLLSxevNjKf1HMSoLGmFarpKSEv/71r5x44okcd9xxVv6LctbCMsa0SpXlv2OOOQafz8cRRxwR6ZBMLSxhGWNalcry35IlS3j44Yf56U9/GumQTB1ZSdAY0ypUL/+tXLnSklWMCUsLS0R6A88DhwJ+YJaqPlxtGQEeBkYChcC1qro4HPEZY1q2Dz74gPHjx3Psscda+S+GhaskWA5MUdXFItIZWCQiH6lqVsAyI4CjvN9hwN+9v8YY0yAbN25k8uTJLF261Mp/LUBYSoKqurWytaSqe4BsoGe1xS4GnldnAZAkIoeFIz5jTMtSUlLCX/7yF0488UQGDRrEqlWrLFm1AGHvdCEifYETgC+rzeoJbAq4v9mbtrXa+mOAMQCHH354c4VpjIlRleW//v37s3DhQpKTkyMdkmkiYU1YItIJeA2YpKr51WcHWUV/MEF1FjALICUl5QfzjTGtU2D575FHHuGCCy6IdEimiYWtl6CItMElqxdU9fUgi2wGegfc7wV8G47YjDGxK1j5z5JVyxSuXoICPANkq+pDIRZ7CxgnIv/CdbbIU9WtIZY1xhjef/99JkyYYOW/ViJcJcFTgKuBFSKy1Jt2J3A4gKo+AbyH69K+FtetfVSYYjPGxJhvvvmGyZMns2zZMiv/tSJhSViqOpfg16gCl1EgPRzxGGNiU0lJCQ888AAPPfQQkyZN4sUXX6Rdu3aRDsuEiQ3NZIyJCe+//z7jx49n4MCBZGZmWvmvFbKEZYyJahs2bGDy5MmsWLGCRx55hJEjR0Y6JBMhNpagMSYqFRcX86c//YmUlBSGDBnCypUrLVm1ctbCMsZEnTlz5jBhwgR+9KMfkZmZSd++fSMdkokClrCMMVGjsvy3cuVKHnnkEUaMGBHpkEwUsZKgMSbiqpf/VqxYYcnK/IC1sIwxETVnzhzGjx/PcccdZ+U/UyNLWMaYiNiwYQOTJk1i1apV/O1vf7MWlamVlQSNMWFVXFzMPffcQ0pKCkOHDrXyn6kza2EZY8LmvffeY8KECRx//PEsWrSIPn36RDokE0MsYRljml1g+e/RRx/l/PPPj3RIJgZZSdAY02yql/9Wrlxpyco0mLWwjDHN4t1332XixIlW/jNNxhKWMaZJ5eTkMGnSJLKysqz8Z5qUlQSNMU2iuLiYadOmkZKSwrBhw6z8Z5qctbCMMY327rvvMmHCBAYPHszixYut/GeahSUsY0yD5eTkMHHiRL766isef/xxzjvvvEiHZFowKwkaY+qtqKiIP/7xjwwdOpThw4ezYsUKS1am2YUlYYnIbBHZJiIrQ8zvKiJvi8gyEVklIqPCEZcxpv7eeecdBg4cyIoVK1i8eDF33HEHbdu2jXRYphUIV0nwOeBR4PkQ89OBLFW9UEQOAr4WkRdUtTRM8RljarF+/XomTpzI6tWreeKJJzj33HMjHZJpZcLSwlLVz4CdNS0CdBYRATp5y5aHIzZjTM2Kioq4++67SU1N5ZRTTmH58uWWrExEREuni0eBt4Bvgc7AZarqD7agiIwBxgAcfvjhYQvQmNbo7bffZuLEiQwZMoTFixfbc85EVLQkrPOApcBPgCOBj0Tkc1XNr76gqs4CZgGkpKRoWKM0ppUILP89+eSTnHPOOZEOyZio6SU4CnhdnbVADnBshGMyptUJVv6zZGWiRbS0sDYCZwGfi8ghwDHA+siGZEzrElj+W7JkCb179450SMZUEZaEJSIvAWcA3UVkM3AX0AZAVZ8A7gGeE5EVgAC3q2puOGIzprVbt24dEydOZO3atVb+M1EtLAlLVS+vZf63gHU7MiaMioqKuPfee3nssce49dZbef3110lMTIx0WMaEFC0lQWNMmKjqvvLf0KFDrfxnYoYlLGNakXXr1jFhwgTWrVvHU089xdlnnx3pkIyps2jpJWiMaUaFhYVMnTqVYcOGcfrpp7N8+XJLVibmWAvLmBZMVXnrrbeYNGkSqampLF26lF69ekU6LGMaxBKWMS3U2rVrmThxIuvXr7fyn2kRGpSwRORkoG/g+qoaamBbY0wYFRYWcu+99/L4449z22238Z///Md6/5kWod4JS0T+gRs+aSlQ4U1WQo/Ebkyr4MNHBhnkkEMyyaSRRiqpDVo3ZVUamY+nkpMDycmQlgaptWzKyn+mpRPV+g3HJyLZwACt74rNICUlRTMzMyMdhjH48DGVqXSlK13oQj755JHHNKbVmrSqr5uzI5+lOXkMfn0aydtTyc+HvDyYNi100lq7di0TJkwgJyeHRx99lLPOOqsZHqVpKURkkaqmRDqO+mpIL8GVwKFNHYgxsSyDDLrSlSSSiCOOJJLoSlcyyKj3uluzk2hf2pWt52YQFwdJSdC1K2QE2VRhYSF/+MMfOOmkkzjzzDNZtmyZJSvTYtW5JCgib+N9bxWQJSI+oKRyvqpe1PThGRMbcsihJz2rTOtCF3LIqfe6e/KhY8cu7Om2f90uXSAnYFOqyptvvsnkyZMZNmyYlf9Mq1Cfa1gPNFsUxsS4ZJLJJZckkgDYxjZWsIIyykgnvcbrWdXX7dwF8uPy6bIjed8y+fnuWhbsL/9t2LCBp59+2lpUptWoc0lQVT9V1U+BkZW3A6c1X4jGRL800sgjj93s5nu+Zz7z2cteBjOYXHKZylR8+Gpd14+fw/rvpigxj8M+TMPvh9273TWsyy6rWv5bunSpJSvTqjTkGlawoZxHNDYQY5qSDx+Xcil9vJ9LuTRkwmgKqaQyjWlUUMF/+S/55NOe9nW6nlW5bne6s4UtHNOtO/e3n8Yxeals2QLduilnnfUG11wzgDVr1rB06VJuvfVW66puWp36XMO6CbgZOEJElgfM6gzMa+rAjGkoHz4mMpEccuhABwDmMpfNbOYRHqlTV/NgXdSBWrut72UvnehEV7pSRhmZZJJCCt3pvu96Vqju71W2NRBGPQZr1qxhwoQJfPLJN8yePZuf/OQnTXSUjIk99WlhvQhcCLzl/a38HaKqVzZDbMY0SAYZbGc7HelIW++nAx3IJbdOvfYqu5nnkktPepJLLhOZyAQmVJlWvcxX2dvvQA6klFISvZ/VrCaffJJJDrrtYOXCwsJCfv/73zN8+HDOOussli5dasnKtHp1bmGpah6QB1wOICIHA+2ATiLSSVU3Nk+IxtRPDjmUUEInOu2blkgiBRTU2GvvWZ7lQR5kHetIJJETOIEk72cRiyimmD3eT2c6cxiHkUHGvpZRDjkUUMBGNlJAAQkkcCAHUkgheeQxhSlVurAD+/5WbkdVeeONN5g8eTLDhw9n2bJl9OzZM2TMxrQmDRnp4kLgIaAHsA3oA2QDA5s2NGNCq2lUiWSSWc3qfa0cgFJKaUtbkkkOur1neZZbuXXfdadyylnAAvLJp4QSNrKRCipQlC50YTe72cAGFrEIcB0niilmPvNJJJEOdKCEEraxjcM4bN8HiO/m7pDd39esWcP48ePZuHEjzz77LGeeeWYzHkFjYk9DOl38CTgJWK2qycBZwBdNGpUxNaitrJZGGgdxEAUUUOL9FFJId7rvuxZV3YM8SHva04lOJJJIPPEIwnKWs4ENlFGGHz/f8z3b2c5OdlJCCXvZywd8wGhGM5/5lFNOKaUAtKc9iSTSlrZVkmk++VX2vbNgJ9//7nuGDx/OOeecw7JlyyxZGRNEQwa/LVPVHSISJyJxqvo/EbmvphVEZDbwU2Cbqv4oxDJnADOBNkCuqp7egNial8/nhhvIyYEO7mI+hYV1H+zNNInaymqppPIwDzOd6SxkIQD96U83unE3d7ux+kghk0yWsIR88vmar+lIRxJIoAtd2MEOyiijggqKKd637woq2MEOBCHOL8SXKRU7NrO5QykdKpS4bh0oo4wiiuhIRw7hEPawZ9/6aaQxlakAdNbOZP8nm8WTF3PaKV+3x5IAAB4ASURBVKfx1rK3rPxnTA0a0sLaLSKdgM+BF0TkYaC8lnWeA84PNVNEkoDHgYtUdSDwywbE1bx8Ppg6FXJzITER5s51v23auGlTp7plTLPLIYcudKkyrfqoEqmk8iqv8g3f8G/+TVvaEk88PenJ13zNrdyKDx8b2UgeeQAUUcR2thNHHN3ohh8/APEBP4IAIH5ILFbal8ajKO2LhfhyGOKroKP3E088fvwcwiFV4prGNBJWJ/DmiDfJ/kM2Dz73IB+8+IElK2Nq0ZCEdTFQCEwC3gfW4XoLhqSqnwE7a1jkCuD1yo4bqrqtAXE1r4wMN6BbUhKsWQMdO7pW1tq1NQ/2ZppcsLJaZS+8YKqP1bee9RRTzFKWsoc9JJBAEkmUU44fP7vYVSVZdaQj7WnvWlXEuQHK/EqcX+mS56dCy6mIU1Tg1xklFFOMIBR5P1OYsi+WgoIC3vzdm3xw8gf89pzf8v3S77n5zJub7VgZ05LUO2GpagHQGzhDVTOAp8Er2jfc0cABIvKJiCwSkWtCLSgiY0QkU0Qyt2/f3sjd1kNOjhvQDWDPHtfKSkx0t+GHg72ZZlN9ZIjd7CaPvJDXpwJbZNvYxla2Igh+/Ci6rwt8F7rQlrYUUkhXunIURwHs63gRTzzq90OFa2F1zId2eyuoUD8lCUpyDhy1Lp5yyimiiA504H7uZxSjUFVef/11BgwYQE5ODsuXL2fKlCm0adMmbMfNmFjXkF6CNwBjgANx34vVE3gC1/miMXEM8bbRHpgvIgtUdXX1BVV1FjAL3NeLNGKf9ZOc7Ep/SUnQuTMUF4Oquw1VB3szzaqyrBbYS3AKU+o0Vt9qVhNHHMUUoyjFFNOGNuSSSxxxVFCx77NbW9iyL6n58YMf2hVCn40uYRW3h/wukFgCh3wPV7wI2w4WDi05EGnblld5lVRSWb16NePHj2fz5s1kZGRwxhlnhPeAGdNCNKQkmA6cAq4mo6prgIMbGcdm4H1VLVDVXOAzYFAjt9m00tLcgG67d8NRR0FBgetw0a/f/sHe0oK/wzdNL5VUHuMx3uM9HuMxUn1AejqMHOn+BlxPDGyRbWf7vtJfIolUUEERRRRQQBFFKEpb2u4rF8YTT5w/DvwuSanAqGdgxmQ470MYkAWnfwYzJ8Fpc4WXroqj845SetGLgQUDufPOOzn55JM577zzWLp0qSUrYxqhIb0ES1S1VMS7+CySgKvqN8abwKPethKBYcCMRm6zaaWmum/Qq+wleOqpbnphIfTqBVOmWC/BCFnlexam3kVu1zLiex5A/9xSuk2duu8bDwNbZEUU0YY2JJFEKaUouq8bern3U0IJ6v2IH+L8SpwfEsqg817IHgi/eAP++AdoXwwl7dy8Hb0S6dk2mQ6rd5E/vwsDbhnAqaeeyvLly+nRo0eEj5Ixsa8hCetTEbkTaC8i5+DGF3y7phVE5CXgDKC7iGwG7sJ1X0dVn1DVbBF5H1gO+IGnVXVlA2JrXqmplpSijA8f32fcRbd2JVBcSnHRBr5st5FhMoBuGRn7/l+V3d2XsISNbCSRRNrTnpL9X+m2T2WHC9RVfeMrXMuqpB103Q2be0P7QlcOjFfYeDjkdwYOaM+mrbvw/S2PrnlrrPxnTBNrSML6LTAaWAGMBd7DdbwISVUvr22jqno/cH8D4jGtWAYZjP66kL1xe5EKP4mqUArZFSsYtKSY35JeZTSMEziBDnRgPevZwhY0VHFAq95UIM4PpYnQcS9UJEDnAtidBOv7Quft8IeKYlaOyWfsjb/k/j//wzpUGNPE6p2wVNUvIm8Ab6hqGLvpGVONz0dOwmvkVeyg024o6gCI0KYYKrScPd+vJZf+VQawLaGEVazadx0rnvgfbrdaDquId8mq6y7QeDj9E1g1wJUD8zvA57nwyuJ4zurZmzdfmkGPCy4Ix6M3ptWpz9eLCK6UNw4Qb1IF8DdVndZM8RkTnM8HEyeSPCafj852PfQAitorbSqgax502lVGKaXMYx655O77gHA8rus5uJEr9glMVN7thHKIU+i0x7WoBi+Bq1+Az0+FB0fC/Feg0/YkXnnvDU4/PfoGZzGmJalPL8FJuN6BQ1W1m6oeiOsccYqITG6W6IwJJSMDtm8n7c0DWDwEXrwC9naCTnthRzcoiYeEonJ2zH2LXdtWk0suJZRQ6v0EXqfa9xtIIL4Uuu2EznsgNRP65sCvXoERL8NlR8Lnd8Ux5tRfs3nVNktWxoRBfRLWNcDlqrrv07Gquh64yptnTMP5fCG7pQeVkwMlJaQubcO0P0BeEtx/GzxzPRz8HQz8CgrbQWKxn8GZ5Ry4zSUoRfe3qkL1bVWgAo5fDm29YQT9wCWvwx8HwPKrYNjXP2JD9mZm3PeSXasyJkzqcw2rjfcZqSpUdbuI2DPWNFzlOI1du0LPnvvHZpzmVZqnT3fjNhYUuLEbk5Lcxwn27nVJ6xsYmrl/cwqUxcPK46C4revp13sT5AZ+WrCmZKWuDLizOxyRA796GXZshxkroai0HY/8awY3nn5j8xwLY0xI9UlYNQ2/1NihmUxrFjhOI+z/O306bNkCq1e7BOX3uyS1a1eV1YPlnni/m3H4Ny5x9d4IS4bUsELlemWuY4Wo28a5b8BTG+NZ/6lw99hxpE+fbi0qYyKkPglrkIjkB5kuuG8eNqZhcnJcyypQly7w4YeuRVVcDOXl7rcGgXmoPAF6fAfTb4eFKbD1MHjvQmpMVigk+KHvWijoDNf/NJ6/b0zk9NNP5911sznssMMa+giNMU2gzglLVYP0/zWmCQSO01gpP3//3+Ji17qqhQAV4sp5FQlu9Am/QFIe3PvbWlb2Q0IFHLkGEpdD/O8SeLHiEP75/oucdtppDX5oxpim05APDhvTtNLS3DWrnBz31S2Fha5l1asXfPttnZJVJVF3/aqgA3TJh6UnwKs/h6+PrmEldZ+zGvI/0PuE1b423HXDzVb+MybKWMIykZea6hLUwoX7p5WWwtdf12szCpQluPLf4hTwKxy0E0rawo9WwRc/Dr5S0nYY8nuY/1YCp517NllrrPxnTDSyhGUiy+eDa66pd3KCH16O2t0F7poG3x0CI+e4Hn6dd8Opn0Fud1zf9LiqK8etBK4TluR34KFXH2Tsj8c2/LEYY5qVJSwTOT4fjB7dJMkK4IB8+MsdsLcztCl3HS+y+kOvLW5aYgmUdoB4fxwdcuPodEccRS/D3WPSSZ8+nYQEezoYE83sGWqan8+3/2tZkpPdNavUVDdt48Ym240f18vv0XSYdyp02wE/ew0y0uCT0+DKF+CFNEh8tS3lU2DwmWcwe+1sDj300CaLwRjTfCxhmeYV6kPBl10G77yzvzdgHdT2pWsClCTAz96EtiXQczPMnAiLUuA3D8JHh0PSOUl039ad2S/O5sc/DnZRyxgTrSxhmaYRqhU1fTqsXOm+kRmgc2fYsQM++KBem6/LN4QK0KUA+q2GAX3ggSmQ3R9uvhey/i18s7kjf7z7j9x8881W/jMmBtmz1jResFbUxInQrp0bUsnvd7cBtm5ttjDKBBacBP+6EjYkw4lL4KJr4O/r4ScnDyc76zUr/xkTwyxhmYarbFW9847rln7ccS5ZLVvmhlRS3f9bWNisoRQnwCPj4bYZcOp8+Br3PThfJCTw0m9/w6l//Wuz7t8Y0/wsYZmGCWxV+f2u5Pf22+62CCQkuKGUtC7FvODqsqbiSoGfngoH7YDvEuEvcfCvEmHq8cdz0+OPk3DyyQ2OwRgTPerz9SINJiKzRWSbiKysZbmhIlIhIpeGIy7TCIED1vr97rpU5YgUfr/74G8zJ6tSYP3hsPJo2NIb9r4LRyTFkXPeKazcupXxS5dasjKmBQlXC+s54FHg+VALiEg8cB9Qv6vxJrx8PteR4t13IT4eDj7YjZ4uUq8hlBpDgTV9YXd3GJIJXwF/3wobuiXwyLRbueHqv4QlDmNMeIUlYanqZyLSt5bFxgOvAUObPSDTMN7X0pOT465ZlZW5z1FVVNS+bhMS4KgNsGMj3Ao81R5uvPw87n3sHev9Z0wLFpaSYG1EpCfwM+CJOiw7RkQyRSRz+/btzR+c2c/7Wno6doTERDeKepiTFbgW1svAYD98dtqB/DvnPR548n1LVsa0cNHyDJ8J3K6qFSJS44KqOguYBZCSktLwiySm/ryvpae83F2zCjMFlsTBrX7YCbySlsYpzz0X9jiMMZERLQkrBfiXl6y6AyNFpFxV34hsWKaKDh3c9aqCgmbflbC/44UCWYfBAyXw7k64q18/bszIsA4VxrQyUZGwVDW58raIPAe8Y8kqyvh88NVXUFQUtl1WJq2XgVu3wjmHHsrK92ZzyIgRYYvBGBM9wpKwROQl4Aygu4hsBu4C2gCoaq3XrUwUmD7djVLRiK7q9bUK9+Hf3SK8cscdnPznP4dt38aY6BOuXoKX12PZa5sxFNNQc+e60Sri4901rGa0B/gjkIGV/4wx+0VFL0ETAwoKXLJqRgq8BBwL7OjalVVz5jBuzRpLVsYYIEquYZkY0KED7NnjSoJxcU3+IeFVQDqQ16kT/54xg5Ovv75Jt2+MiX3WwjJ18+MfuxHXmzhZ5QNTcBc4f3nllWTu3m3JyhgTlCUsUze33QZHH+2GYqrls3J1ocCLQH9gV0ICq+bMIf2f/yS+mcuOxpjYZQnL1E1qKowdu//rQhphJXAmcD/w6imnMLusjIPPP78pojTGtGCWsEzd+Hwwa5Yb4SKuYadNPnAL8BPgV716kTlvHsPnzm3KKI0xLZglLFM3GRmwaZMb8LaeFHgBV/7Li49n5cyZ3LxpE/HDhzd1lMaYFsx6CZq6ycmB3btd66oen8Naiev9t6d9e179298YPnp0s4VojGnZrIVl6iY5uV7XrwLLf5dddRUL9+yxZGWMaRRLWKZmPh+kp8OSJS5Z1fJ1IlXKf3FxrJo5k5v/8Q/r/WeMaTQrCZrQfD6YOhW6doWBA931q0WLQrayVuDG/tsDvHrttQx/9tlwRmuMaeGshWVCy8hwySopyV27OvFEGDIE2reHhAT3rcPx8eSJMFmEs0T49eDBLJw3z5KVMabJWQvLhJaTAz17Vp02eLBLVD16oD4fLxQWcltBASPPPZdVTz/NQQcdFJlYjTEtniUsE1pyMuTmuhZWpfx8OOEEVtx4I+np6RQUFPD6Y49x0kknRS5OY0yrYCVBE1paGuTlue7sfj/s3k1ebi6Td+7krLPO4vLLL8fn81myMsaEhSUsE1pqKkybBt27o5s3888dO+i/fDl7OnZk1apV3HTTTdb7zxgTNlYSNDVLTWV5u3aMGzfOlf/efttaVMaYiLAWlgkpLy+PSZMmcfbZZ3PFFVdY+c8YE1FhSVgiMltEtonIyhDzrxSR5d7vPBEZFI64THCqyj/+8Q/69+9PQUEBWVlZ3HjjjVb+M8ZEVLhKgs8BjwLPh5ifA5yuqrtEZAQwCxgWpthMgOXLl5Oenk5RURH/+c9/GDbM/g3GmOgQlhaWqn4G7Kxh/jxV3eXdXQD0CkdcZr+8vDwmTpzI2WefzVVXXcWXX35pycoYE1Wi8RrWaGBOqJkiMkZEMkUkc/v27WEMq2VSVZ5//nn69+9PUVERWVlZjB071sp/xpioE1W9BEXkTFzCOjXUMqo6C1cyJCUlpXFffdvKLVu2jHHjxlFcXMwbb7xBampqpEMyxpiQoqaFJSLHA08DF6vqjkjH05Lt3r2biRMncs4553DVVVexYMECS1bGmKgXFQlLRA4HXgeuVtXVkY4nZlR+9cfIke6vz1fj4lb+M8bEsrCUBEXkJeAMoLuIbAbuAtoAqOoTwFSgG/C4iACUq2pKOGKLWYFf/dGzpxvzb+pUNzJFkNbSsmXLSE9Pp6SkhDfffNNaVMaYmBOWhKWql9cy/3rg+nDE0mIEfvUH7P+bkVElYe3evZupU6fy8ssvc8899zB69GhrURljYlJUlARNA+TkQJcuVad16eKmA36/n4yMDPr3709JSQlZWVmMGTPGkpUxJmZFVS9BUw+hvvojOXlf+a+0tJS33nqLoUOHRi5OY4xpItbCilVBvvpjd24uE3JzOffcc0lLS2PBggWWrIwxLYYlrFgV8NUf/s2bycjNpf+yZZQecABZWVnccMMNxMXZv9cY03JYSTCWpaayNDGR9PR0ysrKePv990lJsc6VxpiWyd6Cx6jdu3czfvx4zjvvPEaNGsWCBQssWRljWjRLWJHk88Gll0KfPu730ktr/fCv3+/nueeeo3///pSXl5OVlcX1119v5T9jTItnJcFI8flgwgTYsAE6dHDT5s6FLVvg4YeDfvh3yZIlpKenU1FRwdtvv20tKmNMq2JvyyMlI8N1S+/QAdq2db8dO8L27W5egF27djFu3DhGjBjBddddx/z58y1ZGWNaHUtYTa2u4/vl5EBJCSQm7p+WmOimBXz499lnn2XAgAFUVFRY+c8Y06pZSbAp1Wd8v+RkWL0aSktd6wr2305OtvKfMcZUY2/Vm1Lg+H5xce5veTlcd90PW1xpadC9OxQWulZVSQkUFLDrgAMYt20b559/PqNHj7bynzHGeCxhNaXq4/tt2wZffQU7dlRtcfl8rsX1yCNw6qlQUYG/vJxne/Wi//r1+A86iOzsbEaPHm3lP2OM8VhJsClVH99v9WoQgQMP3N/igv0jqqemwquvsnjxYtLT01FV3v3wQ4YMGRK5x2CMMVHKElZj+HwwfTosXOjuH3GES1hFRa7Et3MndOoERx+9f52AEdV37drF73//e1577TX+/Oc/M2rUKGtRGWNMCPbq2FA+H0yc6D47FR/vfpcvh/XrobjYLZOQAGVlVdfLz8ffty+zZ8+mf//+qCpZWVlW/jPGmFpYC6uhpk+HrCyXkEpKXLmvrMyVALt2ddemtm2D+fNhxQo480zIz2fxpk2kZ2Whixfz7rvvWvnPGGPqyN7S11flcEpvvQV797qWVUWF+8BvaSmowp49btmDD4Zhw6CsjF0bNpCelcXIr7/mhsmTmTdvniUrY4yph7AkLBGZLSLbRGRliPkiIo+IyFoRWS4iJ4Yjrnqr/JzV0qXQrp3rSFFU5JJUXJz7XioR6Nx53yr+tm2ZfeSR9F+xAk47jaw1a7juuuus/GeMMfUUrpLgc8CjwPMh5o8AjvJ+hwF/9/5Gl+nTYe1aN95ffLxLUuXl7ppVu3YuccXHw2GHgd/P4m++4WafD+ndm/fee48TT4zOPGyMMbEgLG/zVfUzYGcNi1wMPK/OAiBJRA4LR2x19uyz8O67Lln5/a4MKOJGpqi837s3zJzJzj59uPnDDxk5dy5jx4/ni2XLLFkZY0wjRUtdqiewKeD+Zm/aD4jIGBHJFJHM7du3hyU4fD646y7XekpIcL+lpS5hJSS4z1+ddhr+F1/kGb+fAe++S9yFF5K9ZQuj7rnHyn/GGNMEoqWXoASZpsEWVNVZwCyAlJSUoMs0uYwM1wOwWzc3akV8vGtZlZe7ltXgwSy68ELSJ00iLi6OOXPmcMIJJ4QlNGOMaS2i5a3/ZqB3wP1ewLcRiuWHcnLggANca6pbN5ewvNbVzvPP56aDDuKC229n7NixzJ0715KVMcY0g2hJWG8B13i9BU8C8lR1a6SD2ic5GXr0cGXAhAQ49FD8BxzA0+3aMeCLL4iPjyc7O9tGqjDGmGYUlpKgiLwEnAF0F5HNwF1AGwBVfQJ4DxgJrAUKgVHhiKvO0tJcd/ZjjoFvv2XRtm2k79lDXO/ezPn3v61FZYwxYRCWhKWql9cyX4H0cMTSIKmpMG0aO558kt+tXs0bhYXce/vtXHP33daiMsaYMLFX2zrw+/08tWwZA955hzYXX0z2li1cO22aJStjjAmjaOklGLUyMzNJT08nISGBDz74gMGDB0c6JGOMaZWsiRDCjh07uPHGG7nwwgu56aab+Pzzzy1ZGWNMBFnCqsbv9/PUU08xYMAA2rRpQ3Z2Ntdee62V/4wxJsKsJBhg4cKFpKen06ZNGyv/GWNMlLFmA678N3bsWC666CLS09Ot/GeMMVGoVSesiooKZs2axYABA2jbti3Z2dmkpaVZ+c8YY6JQqy0JLly4kJtvvpm2bdta+c8YY2JAq2tK5ObmMmbMGC666CLGjx9v5T9jjIkRrSZhVVRU8OSTTzJw4EDat29PdnY211xzDSLBBoo3xhgTbVpFSdDn85Genk7btm358MMPGTRoUKRDMsYYU08tuoVVWf67+OKL95X/LFkZY0xsapEJq7L8N2DAACv/GWNMC9HiSoI+n4+bb76Z9u3b89FHH1mLyhhjWogW08LKzc3lhhtu4JJLLmHixIl89tlnlqyMMaYFifmEVVFRwRNPPMGAAQPo2LEj2dnZXH311Vb+M8aYFiamS4IFBQUMGzaM9u3b8/HHH3P88cdHOiRjjDHNJKYT1rp163jmmWe46qqrrEVljDEtnLhvp49NIrId+CbScdSgO5Ab6SDqyWIOD4s5PCzm4Pqo6kHNvI8mF9MJK9qJSKaqpkQ6jvqwmMPDYg4Pi7lliflOF8YYY1oHS1jGGGNigiWs5jUr0gE0gMUcHhZzeFjMLYhdwzLGGBMTrIVljDEmJljCMsYYExMsYTWSiMwWkW0isjLEfBGRR0RkrYgsF5ETwx1jkJhqi/lKL9blIjJPRCI+KGNtMQcsN1REKkTk0nDFVkMstcYsImeIyFIRWSUin4YzvhDx1HZudBWRt0VkmRfzqHDHGCSm3iLyPxHJ9mKaGGSZqHoe1jHmqHseRpyq2m8jfoHTgBOBlSHmjwTmAAKcBHwZAzGfDBzg3R4RCzF7y8QD/we8B1wa7TEDSUAWcLh3/+AYiPlO4D7v9kHATiAxwjEfBpzo3e4MrAYGVFsmqp6HdYw56p6Hkf61FlYjqepnuCdtKBcDz6uzAEgSkcPCE11wtcWsqvNUdZd3dwHQKyyB1aAOxxlgPPAasK35I6pdHWK+AnhdVTd6y0c87jrErEBncWOhdfKWLQ9HbCEDUt2qqou923uAbKBntcWi6nlYl5ij8XkYaZawml9PYFPA/c388MkUzUbj3plGNRHpCfwMeCLSsdTD0cABIvKJiCwSkWsiHVAdPAr0B74FVgATVdUf2ZD2E5G+wAnAl9VmRe3zsIaYA8XE87C5xfTgtzEi2Ki8MfFZAhE5E/dEOTXSsdTBTOB2Va2IoYGQE4AhwFlAe2C+iCxQ1dWRDatG5wFLgZ8ARwIficjnqpof2bBARDrhWtiTgsQTlc/DWmKuXCaWnofNyhJW89sM9A643wv37jSqicjxwNPACFXdEel46iAF+JeXrLoDI0WkXFXfiGxYNdoM5KpqAVAgIp8Bg3DXM6LVKOBedRdW1opIDnAs4ItkUCLSBvfC/4Kqvh5kkah7HtYh5lh8HjYrKwk2v7eAa7xeSicBeaq6NdJB1UREDgdeB66O8nf7+6hqsqr2VdW+wKvAzVGerADeBH4sIgki0gEYhruWEc024lqEiMghwDHA+kgG5F1PewbIVtWHQiwWVc/DusQci8/D5mYtrEYSkZeAM4DuIrIZuAtoA6CqT+B6rI0E1gKFuHeoEVWHmKcC3YDHvRZLuUZ49Og6xBx1aotZVbNF5H1gOeAHnlbVGrvtN7c6HOd7gOdEZAWuzHa7qkb66ztOAa4GVojIUm/ancDhELXPw7rEHHXPw0izoZmMMcbEBCsJGmOMiQmWsIwxxsQES1jGGGNigiUsY4wxMcESljHGmJhgCcuYOvJGgV/qjVS+WERO9qb3EJFXQ6zTV0SuCLh/rYg8Gq6YjWlJLGEZU3dFqjpYVQcBdwB/BVDVb1X1B19nIiIJQF/cILfGmEayDw4b0zBdgF2wb/DSd1T1RyJyLXAB0A7oCHQA+nsfDs3w1unhfWD4SOA/qnpb2KM3JgZZwjKm7tp7iacd7vuMfhJiueHA8aq6U0TOAH6jqj8FVxIEBuNG5y4BvhaRv6nqphDbMsZ4rCRoTN1VlgSPBc4HnpfgQ8N/pKo1fafUf1U1T1WLcV/g2Kc5gjWmpbGEZUwDqOp83KjwBwWZXVDL6iUBtyuwSocxdWIJy5gGEJFjgXigtq982IP7CnRjTCPZOztj6q59wMjaAqTV4QsjlwPlIrIMeA6vo4Yxpv5stHZjjDExwUqCxhhjYoIlLGOMMTHBEpYxxpiYYAnLGGNMTLCEZYwxJiZYwjLGGBMTLGEZY4yJCf8PII8ymMRi/2AAAAAASUVORK5CYII=\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -952,21 +979,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Alpha Weighted Rips Complex is of dimension 3 - 58490 simplices - 1400 vertices. Filtration maximal value is inf.\n",
-      "Alpha Weighted Rips Complex is of dimension 3 - 58490 simplices - 1400 vertices. Filtration maximal value is inf.\n",
-      "Alpha Weighted Rips Complex is of dimension 3 - 58490 simplices - 1400 vertices. Filtration maximal value is inf.\n"
+      "Alpha Weighted Rips Complex is of dimension 3 - 57875 simplices - 1400 vertices. Filtration maximal value is inf.\n",
+      "Alpha Weighted Rips Complex is of dimension 3 - 57875 simplices - 1400 vertices. Filtration maximal value is inf.\n",
+      "Alpha Weighted Rips Complex is of dimension 3 - 57875 simplices - 1400 vertices. Filtration maximal value is inf.\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -978,7 +1014,16 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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nJ4fly5dz9dVXd8oAAhJEhBCiXWitWb58ORkZGZw5c4aioiLuueceLJbO/TUbtuosY+pbO5CltV4cYH26Z/ZCX/sES0cIIcJt+/bt5OXlUVtby29+8xsyMzM7bcnDW1hCpFIqC0BrXQzYPe+91pcZ68uUUlm+9gmWjhBChJPdbmfGjBncdttt3HnnnSxbtozhw4d3mQAC4avOuh936QGgDMjxsc0i4/90rXWJn31CSUcIITqUy+Vi2bJlZGRkYLfbKSoq4u677+70VVe+hKs6ywZUmN73Nq/UWpcopcqUUqXA/AD7BExHCCE62tatW5k2bRrNzc28+OKLZGRkdKmSh7eoCJtKKRvuEsYS4FWlVPpFpJWrlNqslNp85syZdsujEKJrq6ysZNq0adxxxx1897vf5fXXX2fYsGFdOoBA+IKIHUgzXtuAcq/1ucBCo6F8CjDZzz7B0kFrna+1ztZaZ/ft27ddT0II0fW4XC6WLl1KRkYGdXV1rFu3jkmTJqGUinTWokK4qrNWA9nG63SgGNwlEK213byh1rrYKIkU+9rHzzIhhGh3mzdvJi8vD5fLxe9+9zspefgQliBitHlkK6VyALvRcA6wCRirtV6slJqnlCoD0kxdfC/Yx086QgjRbsrLy3n88cdZv349s2fP5o477kApJQHEh7A9J+IJDF7LxppeX/DMh599LlgmhBDtwel0snTpUp544gm+853vUFRURGpqaqSzFdVk7CwhhAA+++wzpk2bhtVq5fe//z1XXnmllDxCIEFECNFl7KvYy6YjxZyuPUW/bpdw66Ac0ly9WbBgARs2bGD27NncfvvtABJAQhQVXXyFEKKj7avYy8o9K6huqqJ3ch/O1duZtXAWV2VchcVioaioqCWAiNBJSUQI0antPGpnw7bjfFG3hoQEB+l9Eji16yAFiwpISU7h5d+/zNXDOu8oux1NgogQIuZ5AsWJynou7ZXMpNEDyBxoY+dRO/kf7Kd7khVLQhU1FRb+8NvlnN1xkJmzZ3DvXd/DaomXAHIRJIgIIWKaOVD0S03kXF0T+R/sJ/eWK9iw7Tjdk6ykxCv2b9jH1jUfMuGOW1j2zkv07JGKRUmN/sWSICKEiGmeQNEjKR6g5X9PyaTu6E7ee/U/6ZGawuuvL2XYN68i3hIfySx3KhJEhBAx7URlPf1SE89b1j3Ryv4DR9iy7mVKv/gnMx+Zwz2Tbic+ToYqaW8SRIQQMe3SXsmcq2tqKYE4nQ4+Wr+CT9cv5b777+PF/3yH7ikpWCwSQDqCBBEhREybNHoA+R/sB+DM/m2s//3T9ErrzVsr3mRo+hBpNO9gEkSEEDEtc6CNe4Z345E5cynbsZk5c+dxz123oZQ8MBgO0jVBCBGzmpubef7555lyxwQmjEyn+M/v8b1J7gAiwkNKIkKImPThhx+Sl5fHpZdeyvLlyxk8eLCUPCJAgogQIqYcPXqUOXPm8Omnn/Loo48yYcIEQKquIkWqs4QQMaGpqYnFixczevRo+vfvz9q1a1sCiIgcKYkIIaJecXEx06dPZ9CgQVJ1FWUkiAghotaRI0d45JFH2Lx5M48++ig33HADIFVX0SRs1VlKqclKqRyl1Dwf67KUUlopVWr8W+Jvn0DpCCE6h8bGRhYuXMiYMWMYNGgQhYWFLQFERJewlESUUlkAWutipVS6UirLa370NK21Mm1r97WPZ+MA6QghYtz777/PjBkzGDp0KCtXrmTgwIFS8ohi4arOuh/YaLwuA3KAli9/rXWxadt0rXWhUmqRj316B0pHCBG7Dh48yKxZs/jiiy949NFHuf7669FaSwCJcuGqzrIBFab3vX1tpJTKATwBxdc+IaUjhIgdDQ0N/OpXvyI7O5srrriCgoICrrvuOgkeMSLaGtYnepVKhBCd2IYNG5g5cybDhg1j1apVDBgwQIJHjAlXELEDacZrG1DuZ7ss02t/+wRMRymVC+QCDB48uO05FkJ0mLKyMh5++GF2797NY489xvjx46XqKkaFqzprNZBuvE7HqLJSStk8Gyil0nEHjkD7+EzHTGudr7XO1lpn9+3btz3PQQhxkerr6/nlL3/JNddcw/Dhw1mzZg3XXHONBI8YFpYg4ulBZbR52E09qjZ5bVoRaJ8A6QghopjWmnfffZfMzEy2bt3K22+/zQ9/+EPi42WGwVgXtjYRrXW+j2VjTa/LgKkh7HPBMiFE9Nq/fz8zZ85k//79PPHEEy0lDyl9dA4ydpYQokPU1dXxxBNPcO211zJq1ChWr17NuHHjJHh0MhJEhBDtSmvNunXrGD58ODt27GDNmjU8+OCDWK3R1hlUtAf5VIUQ7Wbfvn3MmDGDw4cP89RTT5GdnS0lj05OSiJCiItWW1vLY489xvXXX092djZvvfUWY8eOlQDSBUgQEUK0mdaawsJCMjIy2LdvHwUFBTzwwANSddWFyCcthGiTPXv2MH36dI4fP87TTz9NVlaWlDy6oIsuiSilLr/4bAghYkVNTQ3z589nwoQJXH/99axcuZIxY8ZIAOmiWh1ElFKp5n/A/A7IlxAiymitWb16NRkZGRw8eJDCwkKmTJkiVVddXMifvlLqp8ASQOMenkThHr9KAz/rkNwJIaLCzp07mT59OmfPnmXRokWMGjVKSh4CaF2byFCt9QUlF6XUM+2YHyFEBO2r2MumI8Wcrj1Fv26XML7ntax88S3efPNNpk+fzne/+13i4uIkgIgWranO2uhn+cL2yIgQIrL2Vexl5Z4VVDdVkZbUm4/f/Zibxt3MgSMHWLt2Lffeey9xcXGRzqaIMq0piWil1OVa64Ney38KPNd+WRJCRMKmI8V0i0/BfrCKV59ZSnOdg/964b/IHp1NnJLgIXzzG0SMNpDJ5kXAWKVUBe6pacE9s+AYJIgIEfMOnzrEP5Z9xpb3S/j3n/87/zr5X0mwJkQ6WyLKBSqJDMU9X0eg4dYVMK9dcySECCutNcuXL+eVOfmMuzGbd9a9Q++03liUPIssggsURFZrrbcGS0Ap5W+WQiFElNu+fTvTpk2jrq6OV/77FTIyh2FVMseHCJ3fnxrBAohSanQo2wkhoo/dbmf69Oncdttt3HXXXSxbtowRV4+QACJaLeTyqlLq370WnVNK3epjuRAiSrlcLv7whz+QkZFBVVUVRUVF3H333VgsUnUl2qY1vbNs5jda6wPAAQkiQkQP7+c8bh2Uw5VpVwFQUlLCtGnTcDgcvPjii2RkZMjzHuKiBQwiRg+tsUAvIEspNc5rk3RgM/BasAMppSbjftI9S2u92Mf6LCM9tNaF/vYJlo4QXdG+ir2s/aqArae30uxqBg2J1kR2nt3Bjy5/iGXPv0FRUREPP/wwkyZNQiklAUS0i4BBRGv9KvCqUur3wFZgjdcmZSE2vmcZ6RUrpdKVUllaa+9eX1O11lOVUvM823vv42uZj3SE6FI8DwmW2UtpcDZgMWqpmx3N/O+6T1m2ajlT7p5CUVERqampEc6t6GxCrc6aD+Rorde28Tj38/UT72VADqauw0bpohTAVOJY5GOf3oHSEaKz23nUzqqSf3Cw4R/EJVRxZd9BWKy1uFxOzjWdA0Cjse8/x5f5O0iJ78bvXv4d2VfLDIOiY4QURLTW54ALAohS6vtApdb6gyBJ2IAK0/veXuvHGell4Q5Wi/3sEywdITqt9/dsZumXr9NoPYpKsGBxJfLZySPouLqWbZqqmti9ci9nPj9L7vRc/vV7/0qSNUkCiOgwrR7D2Wv+kC24SynBgkgoyrXWJUqpHKNk0iZKqVwgF2Dw4MHtkC0hws+7gfybPb/Jm3vW0WQ97m7PwInTUuMeQxvQTs2hjYfZ9/Z+rsu5luXvLqdnT5sMVyI6XGuGgh8DbKLltkUBPYGpIexuB9KM1zbA+wHFUr4uYZThLpn42ydQOmit84F8gOzsbPn5JWKOp42jW3wKvZP7UN1UxVt7V1LnbEDHuQDX1xsrqNxr58tXd9AjOZXX8l9j+LDhJFhkuBIRHq0piUwFxmqtDyilvu9pH1FK3RrCvquBbON1Ou7hVFBK2bTWduP9ZNP6z3EHkwv28bNMiJhmLnmcqT+DLdFGt/juAHSL747D6cAVVwfa5f75BjSea2TP8r2c2VrOz2f+jB989wckxiVF8CxEV9SaILLReDYE3F1+PYL+2jeqqbKVUjmA3dSjahPuwFSmlLJ7qrFMXXwv2MdPOkLErPf3bOatPSupa7DidMTjSi7nZJyd5uZ4eibHc6z2GLXNtXhKINqhOfjXQ3y1ej833nEjK977v6T26ClVVyIiWtUmopS6V2tdhPGQodb6NSCLENpEjGom72Vjg6wPaZkQsWrnUTvLt/8Rp4qnsTEOhQZHEk6a2FuxF2t8M6BxaAcAFXsr+TJ/J7YePfnD63/gqm8Ok6orEVGtCSIlQIFSqlhrvUkp9VejG673syNCiBDsq9jLb7cUUBe/E6cjGWVNw6q74XAl41QVoDRNTkApGu0N7HpzDxVfVJI3axpTvnMfSVJ1JaJAyEHEqMrKNr2/TSk1RgZgFCI05naPJmcTh6sPU+VwoLUTJ3UQ30hzU08s1jNYlLuW2OV0cej9w3xVsJ+b7vo2T7z3JKndU2WYdhE1WludlYr7AT+78WyI9H4SIgTmHldWZeXLyi9xulw4nclo4rBYG9BaYU2paWk4L99ZwY7XdtK7Vxpv/uENrrziKuItMsquiC6t6eJ7K7AEd7XWZ7jbQQ6Y2kmEEH54pp7tFt+dXVU7AXC6FNrSgFIuUC6UETwaKhrYvXwP9p3nmPnIDL53171SdSWiVmtKIlla6yvg6269WutzSnlufSFix86jdjZsO86Jynou7ZXMpNEDyBxoC75jG52uPUXv5D4AVDZU0uRqQiuwmDpUuRwuDv75EPvXlnLL/3cLv3jmF/To1kOqrkRUa00QKfWzXKq0REzZedRO/gf76Z5kpV9qIufqmsj/YD+5t1xB5kBbyAGmNYGoX7dLqG6qwt5gp7a5Fu9RSMp3lrMjfyd9+/Zl5ZsrGTpkqFRdiZjQmp841yilLjNea2gZAuWads6TEB1qw7bjdE+y0iMpHntdM6Wna/jqZDW/Xr+D90qOkP/Bfs7VNZ0XYHYetZ+XhicQBdvO49ZBORyuOsyO8h24TBGkoaKBkv/aypf/vYOZeQ+z+vU1DBs6TAKIiBmtKYksBLYopTRgN9VihfLEuhBR40RlPf1SE6msbeKLI3Yam504XS5qGx28XPwVQ/t1p0eS+0vc8/+GbcfPK6V8tOsUjc1OEqxx9OwWz2W9u9E9ydqynbff/3MNh+oPtzSauxwuDvzxIKXryph4z0QeW7yA7lJ1JWJQa7r4ngOuMJ4qHwKUaK03dVjOhOggl/ZK5lxdE/tOVlHX6CDOooizWEBBTYODYxX1DEzr1rJ990QrJyrrW0ofLpemuqEZiwJnsyauAb44YifRqmhodlFR0whAY7OLxHgLu5pXobvvbAkgZ788y45Xd9H/0v6sWrGKIZcPkZKHiFmtHsXXMySJELFq0ugB5H+wn4qaJiyekoHW2JLjOVfXTEVt03nb1zQ6uLRXcks1WOnpGuKtlpbWwLpGJ06Xpr4JenVL4IvDlTQ6XDQ2OYnrtZMeg3ahgPqz9exatoea0mrmzp3LXTl3Sa8rEfOClp2VUpcrpVYrpb5SSjmVUuXG+1HhyKAQ7S1zoI3cW67AohQuDXEWhS0lnqR4K90SrWgN1Q3NaO0ucdQ0OJg0egAnKuvpnmilrtFJktVCY7OT+iYndU1OXFrjdGn3vB09viTh8jfomZlPj4Efoh1O9heV8j+zP+Gaq8bx53fe557b7pEAIjqFUOZYXwIU4h5e3Y57CPahwIdKqae11s93eC6FaGeZA22Mv6I3Xxy2kxwfhzVO0exw4dKQOTCVnikJLb2uHrz+cjIH2lqqweIscK7OidWicGpwuNwBpFdKPE3JX6D6fAw6Du1Ionz3EXYs3cXAwd9g9arVXDboMqm6Ep2K3yBiPAsyRWvtr7Ty/yul1iilbglhZkMhos4PbxzC8xt2c66+mfpmJ/FxFvr3TCLvtqt8No5nDOjBqx+WUlnbhMOpiY9TWOMUCQ2rFxgAABqDSURBVCknsfb5HJ1yGkt8LVor6k9odr/5BXWH7Tw6/1HuvPVOEi2JEThLITpWoJLIZK31bYF21lrfp5R6hfaZ2VCIsNl51M7yvx/ghL2ehmYXyQlxDExLIjU5ntc+LL3guY+dR+0U7zjF4N4pVNU3gwan1iSlnCK+/0cQX412WnE1Oyh75wAH/niQSVPuZs5Lj9A9uZv0uhKdVqAgci7ENELdToiosPOonRf+vIcTlXUkJcSRnBBHTaODvceryPhGKt/olXLBA4jmZ0vO1jTR5HDRnLwN3fsjsDSCVpwusbNr2TYuSx9MwdsFDB44GKul1X1XhIgpge7wC6aevcjthIgKG7Ydx17bRFKClYQ4dwnBUeduSC+vaWJgWjccTs3RijoeW72dG67qy77jVQy9pDvVrsMkXPIZ1Y5SVIIdlIv60/XsfH0XDccaeGLBL5h400SpuhJdRqAgEupwJjLsiYgpJyrraXK4SEn8euAqp0ujFNQ2OqisbWL38XPEWRQazbm6Jk43lXGm5nOciYdxOhOJi6/F2eSk7J39HPzTQb77g+8y63ez6JHcI4JnJkT4BQoi9xtPpfsex8HNBtwPPBfsQMZDinbcAzku9rF+kdZ6vlIq1zN7oa99gqUjRDCX9krmcHktzU5NQpz7QZE4i0JrTbdEK4fK3WNbnatrRmvYcWY3zT3/BxV3DhwJKKU5vfUYO5fuZsg3h7B2zVoGDhgoVVeiSwp014/FPZd6sCAyJNhBlFJZAFrrYqVUulIqy8f86LlGgJjqbx/PhkHSESKgSaMHsPdEFScq69DxcSjAGqdwOqF39wT2n6qhrsmBNfkkib1209y9DKXjUJZGao872PXmFppP1/LUE09x84SbpepKdGmBgshirfWjwRJQSj0TwnHuBzYar8twT2zl/eU/RWtdHGSf3iGk06k1bt1GfUEBjsNHsA4eRPKUKSSOGR3pbMWUzIE2HrlzGMv/foDdx6oAyLo8jcv7pPC3PWeo4whJA7cQ3/0Y2pmIUs04Gl0c+OMODr1/iHsfnMzMf8+je1L3CJ+JEJEXKIgsCTGNULazARWm9719bJNlVJ95qql87RNKOp1W49ZtVD/7HCo1FUv//jgrKql+9jmYO0cCSStlDrTxzANjWt57emzVO8tI7v8PLInn0M54tHZxestRdv1hF1dkXMG6wiIG9B8gVVdCGPz+JRhzqgcV6nYhpONp85iolMppjzQ7m/qCAncASU0FQKWm4jKWSxA5X2tKbDuP2pn35mecsxynx+BNWK0NqLgmqo862P2HbTjKG/j1f/yKb1/3bRLjEsJ8JkJEt3D9nLIDacZrG17dgo22EM/gjuVAeoB9/KZjpJUL5AIMHjy43U4gGjgOH8HSv/95y1T37jgOH4lQjqJTa0ps+evW8M7pz3AOriQ1vgZlacZRa6XsvT0c3niIKT+8j+k/yaNbYkqEzkaI6BauILIayDZepwPFAEopm9bajrt9o8xYPxR3FdlmX/v4WdbC6NmVD5Cdnd2puh9bBw/CWVGJMkoiALqmBuvgQRHMVfQJtcT2yqtLeC/pH+jUBqwJtbhcipOfHWf3sl1cOWIY76xdT//+/bEqqboSwp+w/HVorUuUUtlGNZXd1KNqEzDWWJ+rlKoASj3rfe3jJ51Oy1wtQ3ISrpMngYGo7t3RNTXoqiqSp+ZGOptRJViJbedRO2/8cRvbE77EmlgNrnhqjtWy8/UvcVU6eebphdww/kapuhIiBGH7ieV59sNr2dgg60Na1ll5V8vomhq0Bld5OY6SLaAhfrSMyO/hCbjNe/fyVXk9H2XcxOkUG5e4Gri1qpThgwe1TCx16PBZrKNO01ynKS36gqMflfLAvz3Az3/0M7oldgt+MCEEEMYgIs4XSsOvr2oZS7duOMrKSBg7tqU00lV6aAW6ZuaAWzZmAm9ZLiPlXC29leJofHee7DmexvgknK/9k/g4RZxTYf/0CLtXfMHw0Zm8vO5d+ve7hDgVFyQXQggzCSIREGrDr69qGeepk9DcHFIPrc70TEmwa2YOuEXxwznpSsHhdOHquw894H9JTKgnvjmF+tOjsO/ryYE//4541ymeX/Qs47OvlaorIdpIgkgEhNrw66sh3XWuCkvPnuel56uHVmd7piTQNQOoLy5GuzSll17B1lHXo60WLH13kzRoK7ji0I5EnE01HP4gn2MfnuAHP5rKz/7tB3RLkqfNhbgYEkQiINSuuslTplD97HO4jPW6pgZljbtgX189tDrbMyX+rlnTjp04Dh5CWePB5aJowDgcWqHQJF+yHe2KQzvjOfHpIfa+tZUR2SNY8u7L9E3rhzVO5vgQ4mLJX1EEWAcPQtfUnLfMVyBIHDOaHnPnEJfWC9fJk8Sl9aLH7DlY4uJwVVWhXS73/1VVJE+Zct6+jsNHUN3PH5Yjlp8p8XfNdE01KjUV67Bh4HDwVc8BpDTXg8uFSqin+nAtnz29ieN/KuW/nnuBV559mUv79pcAIkQ7kZJIBPgqYfjrqps4ZvQFJYf4q648v61jau4F28TaMyXB2m/8XTONonnPbnSlHVd9PTidJGgXuvYcu17fxYn/PciPfvoQ/+fBf6NbgjwwKER7kyASAYljRtN8993U5i/BeeYscX370C13asjVTL4Ci7fWBKqOFixAhNJ+kzhmNMydc1461ptuovr559FNTejaWlCK9LMH+fDsCfZ/vJLR48fw6vqX6Nu7D3EW6XUlREdQWneqh7rPk52drTdv3hzpbFzA/KVp/oLv0c6N3tHQOyuUc7U/9jjOisqW9hsAV1UVcWm9sP3n037Ttj/2OE2lZTSXuJ853dXczJyKSs6k9uI//uOXZI0ZRUK8BA8hWmvEiBFbtNbZwbeUkkhEhKvRO5QSS0cL5VxbOybYzqN2Nmw7zqGmofRPH8KYIxWs37OZ9TXV5P34x9zz059iTZGqKyHCQYJIBHSlgRRDOVd/7TcqORn7Y49/XX01chQ7vizlzcb+dEuy0ls38L/bN/PM9n9w2+iRrPuPX9KrTx+Ik9KHEOEiQSQCYq3R+2IEOldPdVvjlztwnTyBNX0ocYPcvbCcx46iNRDn7tLcXFpG3bvv8Zebf0K3HnFUH9nL239diTXewssv/45RI6/GGi+3sxDhJv0cIyB5yhR0VVXQbrqdgb9ztY4cRfWzz+GsqCT+qquISx+Ko6wMx759xKX1wtK/P9aBA7GkpqIsFlynT6GSkjhc7+Bvf32DlUUvcv+D97N2XSFjx46WACJEhEgQiQCfz3/E6JPkwfg7V8cX21vaSpTFQvxll5EwdiwJV2e6G9PrG9iXeikvWb/JEwkjeHnQt/hNI6x56yl6pqXwxz++x49+/CAJifGRPkUhujT5+RYh0dDoHS6+zrX6+RcCtpXsvyyD5c5v0E1B0/G9vPqXN4lPimfJKy+TMWoU8Vb5/SNENJAgIiLCu63EVX6W5j170E3N2B97nE19x6O++ooP//dd9pVu5+c/+zlT7ptMYpIMlChENJEgIiLC/DCkbmqkqWQrAPGjR9NcXkHx5rV8/uk7fOvGm3jhv9/DZuuJxSKlDyGijQQRERHmJ9Dri4uxpKRgHTaMbc1NzHv3fapTUsnPX8LwzEyk5kqI6BW2IKKUmgzYgSyt9eIA283zrPe1T6jpiOjnaStxHD5CZWoqv/rkf/hL2QEemZ7HnZOnYEmQRnMhol1YgohSKgtAa12slEpXSmX5mh/dmDt9nL99PNsFS0dERluGWXE6nbx59gwLiwr5zi23sO6ll0jt2ROk6kqImBCuv9T7cZceAMqAnDbu05Z0RBh4xshyVlSeN4hi49Ztfvf5xz/+wTXXXEPB6dMsWbqU2b/+Nam9ekkAESKGhOuv1QZUmN739t7AKFUUB9knaDoiMsxjZCmLxf1/amrLzINmp0+f5ic/+Qn33nsvDz74IK+++QZXjhgBVmmiEyLWRNNPvrRIZ0C0XSiTYDkcDl566SWuvvpqrFYr69at4/bbbw93VoUQ7ShcP/3sfB0kbEC5eaWPUkigffymY6SVC+QCDB48+KIzLkITbDywTz75hGnTptGjRw9ee+01hg4dSmeehkCIriJcQWQ14BmbPh0oBlBK2bTWdiBdKZXuWW80ovvcx8+yFlrrfCAf3POJtPN5CD/8TYJVNfn7zPzxjykuLmbOnDlMnDgRQAKIEJ1EWKqzPD2ojN5XdlOPqk3G+kKtdSHuUobN3z4B0hER5j1Glrb15I1vDGDsDx4gJSWFdevWtQQQIUTnITMbinb38ccfk5eXR69evZgzZw7p6elS8hAihsjMhiIiTpw4wdy5c/nb3/7G3LlzueWWWwCpuhKiM4um3lkiRjU3N/PCCy8wYsQIevbsSVFRUUsAEUJ0blISERflo48+Ytq0afTr14833niDyy67LNJZEkKEkQQR0SbHjh1jzpw5fPLJJ8ybN4+bbrop0lkSQkSAVGeJVmlqauLZZ59l1KhR9OnTh6KiIgkgQnRhUhIRIdu0aRN5eXl84xvf4M0335SHOYUQEkREcEeOHGH27Nl8/vnnzJs3jwkTJkQ6S0KIKCHVWcKvxsZGFi5cyJgxYxgwYACFhYUSQIQQ55GSiPDpL3/5CzNmzGDIkCGsWLGCgQMHRjpLQogoJEFEnOfQoUPMmjWLbdu2MX/+fG688UZ5WFAI4ZdUZwkAGhoa+PWvf83YsWMZMmQIhYWF3HDDDRJAhBABSUlE8Kc//YkZM2Zw5ZVX8tZbbzFgwIBIZ0kIESMkiHRhBw4c4OGHH2bnzp3Mnz+f66+/XkoeQohWkeqsLqi+vp6nnnqKcePGceWVV1JQUMB1110nAUQI0WpSEuli3nvvPR5++GGGDx/O22+/Tf/+/SOdJSFEDJMg0kWUlpYyc+ZM9u3bx2OPPca1114rJQ8hxEWT6qxOrq6ujieffJLx48eTmZnJmjVrGD9+vAQQIUS7kJJIJ6W15p133mHWrFmMHDmS1atXc8kll0Q6W0KITiZsQUQpNRmwA1la68U+1ucYLydqref72ydYOgK++uorZsyYwYEDB3jyySe55pprpOQhhOgQYQkiSqksAK11sVIqXSmVpbUu8Vo/UWs9Xyk137O99z6+lpnT6Uoat25jy6tv89fqJE4lpdKv/hwTkqvY6Kpm6Tvryc3NZeHChVitVgkgQogOE66SyP3ARuN1GZADtHz5G4HA8z5da12ilFrkY5/egdLpKhq3buOf//c53uqXRQq1pFWdpeTkQV4oeZ/rh11JwerV9JWqKyFEGIQriNiACtP73r42UkrNA6YG2CekdDq7mpdfYVPKZaQ01lFffpT1JRtpcDXw7KKFXHvdeKzx0tQlhAiPqPq20VovVkoVKKU2tzUNpVQukAt02kmTmrZv49iwe9j1+btsP/gFD/3wIR76Pz8muVtKpLMmhOhiwhVE7ECa8doGlJtXmtpMSnBXU+UG2MdvOkYa+UA+QHZ2dqdrDNBa8255OQVrn2HkqDG889/v0K9fPyxx0ltbCBF+4Qoiq4Fs43U6UAyglLJpre2c37ZhAz43trlgHz/LuoRdu3Yxffp0TtTV8tvnFzNq/LXEx8dFOltCiC4sLD9fPT2ojG68dlOPqk3G//lAutF9F611oa99AqTTqVVXVzNnzhy+/e1vc+ONN7LqT38i+8YbJIAIISIubG0iRjWT97Kxxv92jCoooDDIPhcs66y01qxatYp58+Zxww03UFhYSO/eXbIvgRAiSkVVw7r42o4dO8jLy6OiooLFixczatQoed5DCBF1pDU2ypw7d45Zs2Zxyy23cPPNN7NixQpGjhwpAUQIEZUkiEQJrTXLly8nIyODU6dOsXbtWr7//e9jschHJISIXlKdFQW2b99OXl4eNTU1vPDCC4wYMUJKHkKImCA/cyPIbrczY8YMbrvtNm677TbeeOMNrr76agkgQoiYIUEkAlwuF8uWLSMjI4OKigqKior43ve+J1VXQoiYI9VZYbZ161amTZtGY2Mjv/3tb8nMzJSShxAiZslP3zCprKxk2rRp3HHHHXznO99h2bJlDB8+XAKIECKmSRDpYC6Xi6VLl5KRkUFNTQ3r1q3j7rvvRikV6awJIcRFk+qsDrR582amTZuG1pqXXnqJjIwMKXkIIToVCSIdoLy8nMcff5z169cza9Ys7rrrLpRSEkCEEJ2OVGe1I6fTyZIlSxg+fDhNTU2sW7eOSZMmSdWVEKLTkpJIO/nnP/9JXl4eVquVV155hauuukpKHkKITk+CyEU6c+YMCxYsYMOGDTzyyCPceeedABJAhBBdglRntZHT6eTll18mMzMTgHXr1rUEECGE6CqkJNIGn376KdOmTSMpKYn8/HyuuOKKSGdJCCEiQoJIK5w+fZr58+fzl7/8hdmzZ3P77bdHOktCCBFRYavOUkpNVkrlKKXm+Vmfa/xbFGifYOl0BIfDwYsvvkhmZibx8fGsW7dOAogQQhCmkohSKgtAa12slEpXSmWZ50c35kwv1lqXKaUKjPcV3vt4tveXTkf4+9//zrRp00hNTWXp0qWkp6d35OGEECKmhKskcj9gN16XATle69NNy8qM9772CZZOuzl58iQ/+tGPeOCBB3jooYd45ZVXJIAIIYSXcAURG0bJwtDbvFJrna+1zjfeZgGb/ewTMJ324HA4+M1vfsOIESNISUlh3bp1TJw4sb0PI4QQnUJUNawbVVYbtdYlkXjK+29/+xt5eXmkpaXx+uuvM2TIkLDnQQghYkm4gogdSDNe24ByP9vlaK0XB9knYDpKqVwgF2Dw4MEhZe748ePMnTuXjz/+mDlz5nDrrbeGtJ8QQnR14arOWo27nQPj/2IApZTNs4FSKtcTQIyGdV/7+EzHzKgay9ZaZ/ft2zdgppqbm3n++ecZOXIkNpuNoqIiCSBCCNEKYQkinh5URnCwm3pUbTItX6SUKlVKVfrbJ0A6rfbBBx8watQoNmzYwBtvvMHPfvYzkpOT23yOQgjRFYWtTcTUcG5eNtb4vxjoFeI+FyxrjaNHjzJnzhw+/fRT5s6dy0033XQxyQkhRJfWZcbOampqYvHixYwePZp+/fqxdu1aCSBCCHGRoqp3VkfZuHEj06dPZ9CgQSxfvpxBgwZFOktCCNEpdOog0tTUxOTJk9myZQvz5s3jW9/6lgzRLoQQ7ahTV2ft2rWLgQMHUlhYyIQJEySACCFEO1Od+YtVKXUGONSGXfsAZ9s5Ox1J8tuxJL8dS/Lb8Vqb58u01oGfkTB06iDSVkqpzVrr7EjnI1SS344l+e1Ykt+O15F57tTVWUIIITqWBBEhhBBtJkHEt4t6oDECJL8dS/LbsSS/Ha/D8ixtIqLDKKUm4x5IM8s0sKav7eYFWi+EiF5duiTSlil7IymE/OYY/yKeX/NsloDdPDOl13Y5wLhw5i2QEK7xIuP/3PDmzLcQ8ptlbDM53HnzJVB+jbxqYwy9UqXUkkjk0StPwa6vZ32s3A/zjG3aLb9dNogE+5IzTdmbD6Qb7yMmhPxmARON9Vn+vrTDKGyzULaXEANfrlKqFPc5RVSI+Z2qtS7EfQ9H9J4IIb9pWmultR4KTAEi+mMoxL+5MmN9WbRfX893mHE/DFVKtctUrV02iNC2KXsjKWB+jVGO5xtv0zt67vkQBJ2FUimVZdzw0SKUwDdFaz00SvIdML9G6aMUQGu9OAruiWD3sPmapmutIx2oQ7kfPIEuGv7mguV3Il//+Cn1sb5NunIQacuUvZEU0tTARjF2alhydPHSgm8SVqFc46xA1QVhFiy/44DeRjVRLOQX+LoWICw5CizYd0QJ7hJIqdd2kRLs+pZz/qR+Q9vjoF05iITEPGVvpPMSCqOBeqp5wq8ICTibZRSWQkJi/KIvxv3lHPVVdEC5aR6eqGgXCcFErbU9+GaRZfyN2YElwKvtVT3UgQr5OnD0xv8Ms63SlYNIW6bsjaSgX8qmOtAyjCmCIyjYbJbppgbfiNfXG4JdY3MDdTmRr+IMdg+b227KiHwHhlD/5qLhXoDg+c0FFhrfD1OASAfpgPk1qgdXe31PXLSuHETaMmVvJAXLbw7n30ARrU8ONpul1rrQaOBLw53faBDsGpfxdTXLUCJfxRksv8Ve6z8Pa+4uFMrfXDpf1+tHWtD8engas8OXNZ8C5tcIHtnG36LN+Pu7aF02iLRlyt5ICpZf3A8TpXt+KbfXDXIxjHalYlPbUstsll7bDI2G6sIQAl8JcJ+nwTrSeQ4hv2W4e+lExT0Rwj3sEQ3tC6Fc38W4e+tNNn5wRvQhxBDv3wrjfmi37tPysKEQQog267IlESGEEBdPgogQQog2kyAihBCizSSICCGEaDNrpDMgRCwxuqBOBeYBJbi7VXqMA5aYH6L0DCKotW71KAJGl8z7cfcEi8Xhx0UXIL2zhGgDpdQW3AEj37QsHfcDfmNN3S09g+IF7Q7sq5uoMVzJRK31xPbMvxDtRaqzhGgnxnMZxcAC07KSVjxPMtbHsog/PyNEIBJEhGhf6RijBSilbF7D0fhkbLeE6BuQUoigpE1EiHZimuhnofF/Gu5SiQ2Y6BkFAfdwKRtxt3esNm3rGW3X7qNayzPszkSkjUREEQkiQrTdWOPL3Ya7UT0d0wi0Wusyo4Qx33hfbHo/H6PEorUuUUphvPY12Gc27smPyoBipZQmNuf5Fp2QBBEh2m6LqSdWoTHQ3Sal1MIA41RV4A4IdkJv76jwnqBJKWWLheHSRecnbSJCtBPjS30JUBBk09Z++XuPyCzBQ0QNCSJCtK8K8D1ceKiUUtEyv4oQQUkQEaJ9TQWK21DVVIZpLgivbsHevbaiZf4VIaRNRIjWMD2xngVMMZU4euMOAiVa6/nGtlm4G9CzjZ5bm419s41eWPmmRvgSpdRmUw8v8/6eXlv5fP0MyiKl1CLvthIhwk2eWBdCCNFmUp0lhBCizSSICCGEaDMJIkIIIdpMgogQQog2kyAihBCizSSICCGEaDMJIkIIIdpMgogQQog2kyAihBCizSSICCGEaLP/B/aVWic1kwmdAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -990,7 +1035,16 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1068,7 +1122,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.8.3"
   },
   "toc": {
    "base_numbering": 1,
diff --git a/Tuto-GUDHI-Expected-persistence-diagrams.ipynb b/Tuto-GUDHI-Expected-persistence-diagrams.ipynb
index 0c584b2..cf5d269 100644
--- a/Tuto-GUDHI-Expected-persistence-diagrams.ipynb
+++ b/Tuto-GUDHI-Expected-persistence-diagrams.ipynb
@@ -1100,12 +1100,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -1154,7 +1151,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"640\">"
+       "<div id='b5d2c1ea-9118-45d9-9236-abe95706d12a'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1170,7 +1167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1180,7 +1177,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1190,7 +1187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1201,7 +1198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1211,7 +1208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1943,12 +1940,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -1997,7 +1991,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"640\">"
+       "<div id='62a92131-27ba-44df-95cc-be03d6713963'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -2039,7 +2033,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,
diff --git a/Tuto-GUDHI-alpha-complex-visualization.ipynb b/Tuto-GUDHI-alpha-complex-visualization.ipynb
index 5ed37d2..990bcc7 100644
--- a/Tuto-GUDHI-alpha-complex-visualization.ipynb
+++ b/Tuto-GUDHI-alpha-complex-visualization.ipynb
@@ -95,7 +95,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -144,48 +144,12 @@
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "        <script type=\"text/javascript\">\n",
-       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
-       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
-       "            /**\n",
-       "* plotly.js v1.52.1\n",
-       "* Copyright 2012-2020, Plotly, Inc.\n",
-       "* All rights reserved.\n",
-       "* Licensed under the MIT license\n",
-       "*/\n",
-       "!function(t){if(\"object\"==typeof exports&&\"undefined\"!=typeof module)module.exports=t();else if(\"function\"==typeof define&&define.amd)define([],t);else{(\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:this).Plotly=t()}}(function(){return function(){return function t(e,r,n){function a(o,s){if(!r[o]){if(!e[o]){var l=\"function\"==typeof require&&require;if(!s&&l)return l(o,!0);if(i)return i(o,!0);var c=new Error(\"Cannot find module '\"+o+\"'\");throw c.code=\"MODULE_NOT_FOUND\",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,function(t){return a(e[o][1][t]||t)},u,u.exports,t,e,r,n)}return r[o].exports}for(var i=\"function\"==typeof require&&require,o=0;o<n.length;o++)a(n[o]);return a}}()({1:[function(t,e,r){\"use strict\";var n=t(\"../src/lib\"),a={\"X,X div\":\"direction:ltr;font-family:'Open Sans', verdana, arial, sans-serif;margin:0;padding:0;\",\"X input,X button\":\"font-family:'Open Sans', verdana, arial, sans-serif;\",\"X input:focus,X button:focus\":\"outline:none;\",\"X a\":\"text-decoration:none;\",\"X a:hover\":\"text-decoration:none;\",\"X .crisp\":\"shape-rendering:crispEdges;\",\"X .user-select-none\":\"-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;\",\"X svg\":\"overflow:hidden;\",\"X svg a\":\"fill:#447adb;\",\"X svg a:hover\":\"fill:#3c6dc5;\",\"X .main-svg\":\"position:absolute;top:0;left:0;pointer-events:none;\",\"X .main-svg .draglayer\":\"pointer-events:all;\",\"X .cursor-default\":\"cursor:default;\",\"X .cursor-pointer\":\"cursor:pointer;\",\"X .cursor-crosshair\":\"cursor:crosshair;\",\"X .cursor-move\":\"cursor:move;\",\"X .cursor-col-resize\":\"cursor:col-resize;\",\"X .cursor-row-resize\":\"cursor:row-resize;\",\"X .cursor-ns-resize\":\"cursor:ns-resize;\",\"X .cursor-ew-resize\":\"cursor:ew-resize;\",\"X .cursor-sw-resize\":\"cursor:sw-resize;\",\"X .cursor-s-resize\":\"cursor:s-resize;\",\"X 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if(\"le\"===r)for(a=0,i=0;a<t.length;a+=3)o=t[a]|t[a+1]<<8|t[a+2]<<16,this.words[i]|=o<<s&67108863,this.words[i+1]=o>>>26-s&67108863,(s+=24)>=26&&(s-=26,i++);return this.strip()},i.prototype._parseHex=function(t,e){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var r=0;r<this.length;r++)this.words[r]=0;var n,a,i=0;for(r=t.length-6,n=0;r>=e;r-=6)a=s(t,r,r+6),this.words[n]|=a<<i&67108863,this.words[n+1]|=a>>>26-i&4194303,(i+=24)>=26&&(i-=26,n++);r+6!==e&&(a=s(t,e,r+6),this.words[n]|=a<<i&67108863,this.words[n+1]|=a>>>26-i&4194303),this.strip()},i.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,a=1;a<=67108863;a*=e)n++;n--,a=a/e|0;for(var i=t.length-r,o=i%n,s=Math.min(i,i-o)+r,c=0,u=r;u<s;u+=n)c=l(t,u,u+n,e),this.imuln(a),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c);if(0!==o){var h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},i.prototype.clone=function(){var t=new i(null);return this.copy(t),t},i.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},i.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},i.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var a=0|t.words[0],i=0|e.words[0],o=a*i,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(a=0|t.words[d])*(i=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}i.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var a=0,i=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<a|i)).toString(16);r=0!==(i=s>>>24-a&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(a+=2)>=26&&(a-=26,o--)}for(0!==i&&(r=i.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var f=u[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base should be between 2 and 36\")},i.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,\"Number can only safely store up to 53 bits\"),0!==this.negative?-t:t},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toBuffer=function(t,e){return n(\"undefined\"!=typeof o),this.toArrayLike(o,t,e)},i.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},i.prototype.toArrayLike=function(t,e,r){var a=this.byteLength(),i=r||Math.max(1,a);n(a<=i,\"byte array longer than desired length\"),n(i>0,\"Requested array length <= 0\"),this.strip();var o,s,l=\"le\"===e,c=new t(i),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<i;s++)c[s]=0}else{for(s=0;s<i-a;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[i-s-1]=o}return c},Math.clz32?i.prototype._countBits=function(t){return 32-Math.clz32(t)}:i.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},i.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},i.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},i.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},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},i.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},i.prototype.isNeg=function(){return 0!==this.negative},i.prototype.neg=function(){return this.clone().ineg()},i.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},i.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()},i.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},i.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},i.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()},i.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},i.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.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()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.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 a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.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 a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.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)},i.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,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&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()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,v=0|o[2],m=8191&v,y=v>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],k=8191&w,T=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,z=P>>>13,I=0|o[8],D=8191&I,R=I>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],V=8191&j,U=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var vt=(c+(n=Math.imul(h,V))|0)+((8191&(a=(a=Math.imul(h,U))+Math.imul(f,V)|0))<<13)|0;c=((i=Math.imul(f,U))+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(d,V),a=(a=Math.imul(d,U))+Math.imul(g,V)|0,i=Math.imul(g,U);var mt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,V),a=(a=Math.imul(m,U))+Math.imul(y,V)|0,i=Math.imul(y,U),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,X)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,V),a=(a=Math.imul(b,U))+Math.imul(_,V)|0,i=Math.imul(_,U),n=n+Math.imul(m,H)|0,a=(a=a+Math.imul(m,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,X)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,V),a=(a=Math.imul(k,U))+Math.imul(T,V)|0,i=Math.imul(T,U),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,a=(a=a+Math.imul(m,X)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,V),a=(a=Math.imul(A,U))+Math.imul(S,V)|0,i=Math.imul(S,U),n=n+Math.imul(k,H)|0,a=(a=a+Math.imul(k,G)|0)+Math.imul(T,H)|0,i=i+Math.imul(T,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,X)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,X)|0,n=n+Math.imul(m,J)|0,a=(a=a+Math.imul(m,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,V),a=(a=Math.imul(L,U))+Math.imul(C,V)|0,i=Math.imul(C,U),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(k,W)|0,a=(a=a+Math.imul(k,X)|0)+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(m,$)|0,a=(a=a+Math.imul(m,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(z,V)|0,i=Math.imul(z,U),n=n+Math.imul(L,H)|0,a=(a=a+Math.imul(L,G)|0)+Math.imul(C,H)|0,i=i+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,X)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,a=(a=a+Math.imul(k,K)|0)+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,a=(a=a+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(R,V)|0,i=Math.imul(R,U),n=n+Math.imul(O,H)|0,a=(a=a+Math.imul(O,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(L,W)|0,a=(a=a+Math.imul(L,X)|0)+Math.imul(C,W)|0,i=i+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(k,$)|0,a=(a=a+Math.imul(k,tt)|0)+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(m,it)|0,a=(a=a+Math.imul(m,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var Tt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(N,V)|0,i=Math.imul(N,U),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,a=(a=a+Math.imul(O,X)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,n=n+Math.imul(L,J)|0,a=(a=a+Math.imul(L,K)|0)+Math.imul(C,J)|0,i=i+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,a=(a=a+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,a=(a=a+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,X)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(L,$)|0,a=(a=a+Math.imul(L,tt)|0)+Math.imul(C,$)|0,i=i+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(k,it)|0,a=(a=a+Math.imul(k,ot)|0)+Math.imul(T,it)|0,i=i+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,a=(a=a+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,X))+Math.imul(N,W)|0,i=Math.imul(N,X),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(O,$)|0,a=(a=a+Math.imul(O,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(L,rt)|0,a=(a=a+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,i=i+Math.imul(C,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,a=(a=a+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,i=i+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(a=(a=a+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,a=(a=a+Math.imul(O,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(L,it)|0,a=(a=a+Math.imul(L,ot)|0)+Math.imul(C,it)|0,i=i+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,a=(a=a+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(O,it)|0,a=(a=a+Math.imul(O,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(L,lt)|0,a=(a=a+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,i=i+Math.imul(C,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Lt=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(a=(a=a+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((i=i+Math.imul(T,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,a=(a=a+Math.imul(O,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(L,ht)|0,a=(a=a+Math.imul(L,ft)|0)+Math.imul(C,ht)|0,i=i+Math.imul(C,ft)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(O,ht)|0,a=(a=a+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(a=(a=a+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((i=i+Math.imul(C,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(a=(a=a+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.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,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},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),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.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,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,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!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.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 a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.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)},i.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},i.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()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,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 i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.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),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.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 a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.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 a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >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(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.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 a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.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 a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.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},i.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],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.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)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._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){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(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 i(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):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)},a(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},a(x,m),a(b,m),a(_,m),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,a=67108863&n;n>>>=26,t.words[r]=a,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.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\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.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)},w.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},w.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)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.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 i(1)).iushrn(2);return this.pow(t,r)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);n(!a.isZero());var s=new i(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new i(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,a),f=this.pow(t,a.addn(1).iushrn(1)),p=this.pow(t,a),d=o;0!==p.cmp(s);){for(var g=p,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v<d);var m=this.pow(h,new i(1).iushln(d-v-1));f=f.redMul(m),h=m.redSqr(),p=p.redMul(h),d=v}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new i(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var a=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;a!==r[0]&&(a=this.sqr(a)),0!==h||0!==o?(o<<=1,o|=h,(4===++s||0===n&&0===u)&&(a=this.mul(a,r[o]),s=0,o=0)):s=0}l=26}return a},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},i.mont=function(t){return new k(t)},a(k,w),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),a=r.isub(n).iushrn(this.shift),i=a;return a.cmp(this.m)>=0?i=a.isub(this.m):a.cmpn(0)<0&&(i=a.iadd(this.m)),i._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new i(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:105}],97:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],98:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return n=[],c(a=t,a,u,!0),n;case 2:return\"function\"==typeof e?c(t,t,e,!0):function(t,e){return n=[],c(t,e,u,!1),n}(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}var a};var n,a=t(\"typedarray-pool\"),i=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var a=0,i=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[a++]=c[u];n[i++]=o}}return i}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var h,f=a.mallocDouble(2*u*s),p=a.mallocInt32(s);if((s=l(t,u,f,p))>0){if(1===u&&n)i.init(s),h=i.sweepComplete(u,r,0,s,f,p,0,s,f,p);else{var d=a.mallocDouble(2*u*c),g=a.mallocInt32(c);(c=l(e,u,d,g))>0&&(i.init(s+c),h=1===u?i.sweepBipartite(u,r,0,s,f,p,0,c,d,g):o(u,r,n,s,f,p,c,d,g),a.free(d),a.free(g))}a.free(f),a.free(p)}return h}}}function u(t,e){n.push([t,e])}},{\"./lib/intersect\":100,\"./lib/sweep\":104,\"typedarray-pool\":544}],99:[function(t,e,r){\"use strict\";var n=\"d\",a=\"ax\",i=\"vv\",o=\"fp\",s=\"es\",l=\"rs\",c=\"re\",u=\"rb\",h=\"ri\",f=\"rp\",p=\"bs\",d=\"be\",g=\"bb\",v=\"bi\",m=\"bp\",y=\"rv\",x=\"Q\",b=[n,a,i,l,c,u,h,p,d,g,v];function _(t){var e=\"bruteForce\"+(t?\"Full\":\"Partial\"),r=[],_=b.slice();t||_.splice(3,0,o);var w=[\"function \"+e+\"(\"+_.join()+\"){\"];function k(e,o){var _=function(t,e,r){var o=\"bruteForce\"+(t?\"Red\":\"Blue\")+(e?\"Flip\":\"\")+(r?\"Full\":\"\"),_=[\"function \",o,\"(\",b.join(),\"){\",\"var \",s,\"=2*\",n,\";\"],w=\"for(var i=\"+l+\",\"+f+\"=\"+s+\"*\"+l+\";i<\"+c+\";++i,\"+f+\"+=\"+s+\"){var x0=\"+u+\"[\"+a+\"+\"+f+\"],x1=\"+u+\"[\"+a+\"+\"+f+\"+\"+n+\"],xi=\"+h+\"[i];\",k=\"for(var j=\"+p+\",\"+m+\"=\"+s+\"*\"+p+\";j<\"+d+\";++j,\"+m+\"+=\"+s+\"){var y0=\"+g+\"[\"+a+\"+\"+m+\"],\"+(r?\"y1=\"+g+\"[\"+a+\"+\"+m+\"+\"+n+\"],\":\"\")+\"yi=\"+v+\"[j];\";return 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strict\";e.exports=function(t,e,r,i,u,S,E,L,C){!function(t,e){var r=8*a.log2(e+1)*(t+1)|0,i=a.nextPow2(b*r);w.length<i&&(n.free(w),w=n.mallocInt32(i));var o=a.nextPow2(_*r);k<o&&(n.free(k),k=n.mallocDouble(o))}(t,i+E);var P,O=0,z=2*t;T(O++,0,0,i,0,E,r?16:0,-1/0,1/0),r||T(O++,0,0,E,0,i,1,-1/0,1/0);for(;O>0;){var I=(O-=1)*b,D=w[I],R=w[I+1],F=w[I+2],B=w[I+3],N=w[I+4],j=w[I+5],V=O*_,U=k[V],q=k[V+1],H=1&j,G=!!(16&j),Y=u,W=S,X=L,Z=C;if(H&&(Y=L,W=C,X=u,Z=S),!(2&j&&(F=v(t,D,R,F,Y,W,q),R>=F)||4&j&&(R=m(t,D,R,F,Y,W,U))>=F)){var J=F-R,K=N-B;if(G){if(t*J*(J+K)<p){if(void 0!==(P=l.scanComplete(t,D,e,R,F,Y,W,B,N,X,Z)))return P;continue}}else{if(t*Math.min(J,K)<h){if(void 0!==(P=o(t,D,e,H,R,F,Y,W,B,N,X,Z)))return P;continue}if(t*J*K<f){if(void 0!==(P=l.scanBipartite(t,D,e,H,R,F,Y,W,B,N,X,Z)))return P;continue}}var Q=d(t,D,R,F,Y,W,U,q);if(R<Q)if(t*(Q-R)<h){if(void 0!==(P=s(t,D+1,e,R,Q,Y,W,B,N,X,Z)))return P}else if(D===t-2){if(void 0!==(P=H?l.sweepBipartite(t,e,B,N,X,Z,R,Q,Y,W):l.sweepBipartite(t,e,R,Q,Y,W,B,N,X,Z)))return P}else T(O++,D+1,R,Q,B,N,H,-1/0,1/0),T(O++,D+1,B,N,R,Q,1^H,-1/0,1/0);if(Q<F){var $=c(t,D,B,N,X,Z),tt=X[z*$+D],et=g(t,D,$,N,X,Z,tt);if(et<N&&T(O++,D,Q,F,et,N,(4|H)+(G?16:0),tt,q),B<$&&T(O++,D,Q,F,B,$,(2|H)+(G?16:0),U,tt),$+1===et){if(void 0!==(P=G?A(t,D,e,Q,F,Y,W,$,X,Z[$]):M(t,D,e,H,Q,F,Y,W,$,X,Z[$])))return P}else if($<et){var rt;if(G){if(rt=y(t,D,Q,F,Y,W,tt),Q<rt){var nt=g(t,D,Q,rt,Y,W,tt);if(D===t-2){if(Q<nt&&void 0!==(P=l.sweepComplete(t,e,Q,nt,Y,W,$,et,X,Z)))return P;if(nt<rt&&void 0!==(P=l.sweepBipartite(t,e,nt,rt,Y,W,$,et,X,Z)))return P}else Q<nt&&T(O++,D+1,Q,nt,$,et,16,-1/0,1/0),nt<rt&&(T(O++,D+1,nt,rt,$,et,0,-1/0,1/0),T(O++,D+1,$,et,nt,rt,1,-1/0,1/0))}}else rt=H?x(t,D,Q,F,Y,W,tt):y(t,D,Q,F,Y,W,tt),Q<rt&&(D===t-2?P=H?l.sweepBipartite(t,e,$,et,X,Z,Q,rt,Y,W):l.sweepBipartite(t,e,Q,rt,Y,W,$,et,X,Z):(T(O++,D+1,Q,rt,$,et,H,-1/0,1/0),T(O++,D+1,$,et,Q,rt,1^H,-1/0,1/0)))}}}}};var n=t(\"typedarray-pool\"),a=t(\"bit-twiddle\"),i=t(\"./brute\"),o=i.partial,s=i.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),h=128,f=1<<22,p=1<<22,d=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),g=u(\"lo===p0\",[\"p0\"]),v=u(\"lo<p0\",[\"p0\"]),m=u(\"hi<=p0\",[\"p0\"]),y=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),x=u(\"lo<p0&&p0<=hi\",[\"p0\"]),b=6,_=2,w=n.mallocInt32(1024),k=n.mallocDouble(1024);function T(t,e,r,n,a,i,o,s,l){var c=b*t;w[c]=e,w[c+1]=r,w[c+2]=n,w[c+3]=a,w[c+4]=i,w[c+5]=o;var u=_*t;k[u]=s,k[u+1]=l}function M(t,e,r,n,a,i,o,s,l,c,u){var h=2*t,f=l*h,p=c[f+e];t:for(var d=a,g=a*h;d<i;++d,g+=h){var v=o[g+e],m=o[g+e+t];if(!(p<v||m<p)&&(!n||p!==v)){for(var y,x=s[d],b=e+1;b<t;++b){v=o[g+b],m=o[g+b+t];var _=c[f+b],w=c[f+b+t];if(m<_||w<v)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function A(t,e,r,n,a,i,o,s,l,c){var u=2*t,h=s*u,f=l[h+e];t:for(var p=n,d=n*u;p<a;++p,d+=u){var g=o[p];if(g!==c){var v=i[d+e],m=i[d+e+t];if(!(f<v||m<f)){for(var y=e+1;y<t;++y){v=i[d+y],m=i[d+y+t];var x=l[h+y],b=l[h+y+t];if(m<x||b<v)continue t}var _=r(g,c);if(void 0!==_)return _}}}}},{\"./brute\":99,\"./median\":101,\"./partition\":102,\"./sweep\":104,\"bit-twiddle\":94,\"typedarray-pool\":544}],101:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,o,s,l){if(o<=r+1)return r;var c=r,u=o,h=o+r>>>1,f=2*t,p=h,d=s[f*h+e];for(;c<u;){if(u-c<a){i(t,e,c,u,s,l),d=s[f*h+e];break}var g=u-c,v=Math.random()*g+c|0,m=s[f*v+e],y=Math.random()*g+c|0,x=s[f*y+e],b=Math.random()*g+c|0,_=s[f*b+e];m<=x?_>=x?(p=y,d=x):m>=_?(p=v,d=m):(p=b,d=_):x>=_?(p=y,d=x):_>=m?(p=v,d=m):(p=b,d=_);for(var w=f*(u-1),k=f*p,T=0;T<f;++T,++w,++k){var M=s[w];s[w]=s[k],s[k]=M}var A=l[u-1];l[u-1]=l[p],l[p]=A,p=n(t,e,c,u-1,s,l,d);for(var w=f*(u-1),k=f*p,T=0;T<f;++T,++w,++k){var M=s[w];s[w]=s[k],s[k]=M}var A=l[u-1];if(l[u-1]=l[p],l[p]=A,h<p){for(u=p-1;c<u&&s[f*(u-1)+e]===d;)u-=1;u+=1}else{if(!(p<h))break;for(c=p+1;c<u&&s[f*c+e]===d;)c+=1}}return n(t,e,r,h,s,l,s[f*h+e])};var n=t(\"./partition\")(\"lo<p0\",[\"p0\"]),a=8;function i(t,e,r,n,a,i){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=a[s],u=l,h=o*(l-1);u>r&&a[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=a[f];a[f]=a[p],a[p]=g}var v=i[u];i[u]=i[u-1],i[u-1]=v}}},{\"./partition\":102}],102:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),a=[];t.indexOf(\"lo\")>=0&&a.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&a.push(\"hi=e[k+o]\");return r.push(n.replace(\"_\",a.join()).replace(\"$\",t)),Function.apply(void 0,r)};var n=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\"},{}],103:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=4*n?a(0,e-1,t):function t(e,r,h){var 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t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*k)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var L=[0,0,0];f[M]>0?L[M]=i[1][M]:L[M]=i[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,O=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,O=(M+1+(1^C))%3;this.zeroEnable[O]&&Math.min(i[0][O],i[1][O])<=0&&Math.max(i[0][O],i[1][O])>=0&&this._lines.drawZero(P,O,this.bounds,L,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(m,A[M].primalMinor),I=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=T/r[5*C];z[C]*=D[C]*R,I[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,I,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0?N(n):i>0&&l<0?N(n):i<0&&l>0?N(n):i<0&&l<0?N(n):o>0&&s>0?N(a):o>0&&s<0?N(a):o<0&&s>0?N(a):o<0&&s<0&&N(a)}for(M=0;M<3;++M){var V=A[M].primalMinor,U=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=T*V[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,V,U);for(C=0;C<3;++C)q[C]+=T*V[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=T*V[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":237,\"./lib/cube.js\":238,\"./lib/lines.js\":239,\"./lib/text.js\":241,\"./lib/ticks.js\":242}],237:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[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:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],238:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x:c[x][2]<c[w][2]&&(w=x))}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S);o(c[P],c[O],c[z],h)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(var C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S),I=d([l[P],l[O],l[z],l[P+(1<<A)+(1<<S)]]);C?E=I:L=I}L>E&&(w|=1<<M)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var V=7^N;V===w||V===D?(V=7^F,j[n.log2(N^V)]=V&N):j[n.log2(F^V)]=V&F;for(var U=v,q=w,M=0;M<3;++M)U[M]=q&1<<M?-1:1;return m};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{\"bit-twiddle\":94,\"gl-mat4/multiply\":270,\"robust-orientation\":509,\"split-polygon\":526}],239:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(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,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],240:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:411}],241:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var v=p[d],m=2;m>=0;--m){var y=f[v[m]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":240,_process:484,\"gl-buffer\":244,\"gl-vao\":329,\"vectorize-text\":549}],242:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(var o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],243:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var M=(T+1)%3,A=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];for(var L=0;L<2;++L){S[M]=x[L^w][M];for(var C=0;C<2;++C)S[A]=x[C^L^w][A],E.push(S.slice())}for(var P=y?5:4,L=P;L===P;++L){if(0===E.length)continue t;E=a.positive(E,k[L])}for(var L=0;L<E.length;++L)for(var A=E[L],O=d(v,u,A,r,l),C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,A[C]),_[C].hi=Math.max(_[C].hi,A[C]),C!==T&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":238,\"extract-frustum-planes\":227,\"gl-mat4/multiply\":270,\"gl-mat4/transpose\":279,\"gl-vec4/transformMat4\":400,\"split-polygon\":526}],244:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:452,\"ndarray-ops\":446,\"typedarray-pool\":544}],245:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={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]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],v=1/0,m=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(v=Math.min(v,_),m=!1):m=!0}m||(p=x,d=b),g.push(b)}var w=[s,c,h],k=[l,u,f];e&&(e[0]=w,e[1]=k),0===o&&(o=1);var T=1/o;isFinite(v)||(v=1),i.vectorScale=v;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*T,O=0;O<8;O++){i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":246,\"./lib/shaders\":247,\"gl-vec3\":348}],246:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.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=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var v=0;v<p.length;++v){var m=p[v];d=Math.min(d,m),g=Math.max(g,m)}else for(v=0;v<n.length;++v){m=n[v][2];d=Math.min(d,m),g=Math.max(g,m)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(v=0;v<n.length;++v)for(var y=n[v],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(v=0;v<r.length;++v){var _=r[v];switch(_.length){case 3:for(x=0;x<3;++x){y=n[k=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var k;y=n[k=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var T=a[k];o.push(T[0],T[1],T[2],T[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[k]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(v)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,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),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var 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),u=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),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=a(t),d=a(t),g=a(t),v=a(t),m=a(t),y=new f(t,h,l,u,p,d,m,g,v,i(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return y.update(e),y}},{colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452}],247:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:411}],248:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34000:\"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\"}},{}],249:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:411}],252:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(var i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var v=!1;\"stencil\"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i: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 f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);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,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,a,i,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,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),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(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,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(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,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":324}],253:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}for(var v=o(e).split(\"\\n\"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":64,\"gl-constants/lookup\":249,\"glsl-shader-name\":403,\"sprintf-js\":527}],254:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.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,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=i.mallocUint8(4*x),_=i.mallocFloat32(2*x),w=i.mallocUint8(2*x),k=i.mallocUint32(x),T=0,M=0;M<y-1;++M)for(var A=v*(o[M]-d),S=v*(o[M+1]-d),E=0;E<m-1;++E)for(var L=g*(r[E]-p),C=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(M+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),V=1-j,U=4*N,q=4*(N+1);O=V*c[U]+j*c[q],z=V*c[U+1]+j*c[q+1],I=V*c[U+2]+j*c[q+2],D=V*c[U+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*L+.5*C,_[2*T+1]=.5*A+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=M*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),i.free(_),i.free(b),i.free(w),i.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":255,\"binary-search-bounds\":256,\"gl-buffer\":244,\"gl-shader\":304,\"iota-array\":418,\"typedarray-pool\":544}],255:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:411}],256:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],257:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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\\nlowp vec4 encode_float_1604150559(highp float v) {\\n  highp 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  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp 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  highp 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, encode_float_1604150559(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":304,glslify:411}],258:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=u(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),c=a(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}]),f=l(new Array(1024),[256,1,4]),p=0;p<1024;++p)f.data[p]=255;var d=i(e,f);d.wrap=e.REPEAT;var g=new v(e,r,o,s,c,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=t(\"glsl-read-float\"),s=t(\"binary-search-bounds\"),l=t(\"ndarray\"),c=t(\"./lib/shaders\"),u=c.createShader,h=c.createPickShader,f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function p(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function d(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,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=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=v.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,clipBounds:d(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,pickId:this.pickId,clipBounds:d(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var a=[],i=[],o=[],c=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var d=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,v=!1;t:for(e=1;e<f.length;++e){var m,y,x,b=f[e-1],_=f[e];for(i.push(c),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&a.length>0){for(var w=0;w<24;++w)a.push(a[a.length-12]);u+=2,v=!0}continue t}h[0][r]=Math.min(h[0][r],b[r],_[r]),h[1][r]=Math.max(h[1][r],b[r],_[r])}Array.isArray(d[0])?(m=d.length>e-1?d[e-1]:d.length>0?d[d.length-1]:[0,0,0,1],y=d.length>e?d[e]:d.length>0?d[d.length-1]:[0,0,0,1]):m=y=d,3===m.length&&(m=[m[0],m[1],m[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&m[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var k=c;if(c+=p(b,_),v){for(r=0;r<2;++r)a.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3]);u+=2,v=!1}a.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3],b[0],b[1],b[2],_[0],_[1],_[2],k,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],c,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],c,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(a),i.push(c),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=i,\"dashes\"in t){var T=t.dashes.slice();for(T.unshift(0),e=1;e<T.length;++e)T[e]=T[e-1]+T[e];var M=l(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)M.set(e,0,r,0);1&s.le(T,T[T.length-1]*e/255)?M.set(e,0,0,0):M.set(e,0,0,255)}this.texture.setPixels(M)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=o(t.value[0],t.value[1],t.value[2],0),r=s.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],a=this.points[Math.min(r+1,this.points.length-1)],i=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),l=1-i,c=[0,0,0],u=0;u<3;++u)c[u]=l*n[u]+i*a[u];var h=Math.min(i<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},{\"./lib/shaders\":257,\"binary-search-bounds\":259,\"gl-buffer\":244,\"gl-texture2d\":324,\"gl-vao\":329,\"glsl-read-float\":402,ndarray:452}],259:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],260:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=r*i-a*n;return o?(o=1/o,t[0]=i*o,t[1]=-n*o,t[2]=-a*o,t[3]=r*o,t):null}},{}],261:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=u*o-s*c,f=-u*i+s*l,p=c*i-o*l,d=r*h+n*f+a*p;return d?(d=1/d,t[0]=h*d,t[1]=(-u*n+a*c)*d,t[2]=(s*n-a*o)*d,t[3]=f*d,t[4]=(u*r-a*l)*d,t[5]=(-s*r+a*i)*d,t[6]=p*d,t[7]=(-c*r+n*l)*d,t[8]=(o*r-n*i)*d,t):null}},{}],262:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],263:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],264:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],a=t[3],i=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],h=t[10],f=t[11],p=t[12],d=t[13],g=t[14],v=t[15];return(e*o-r*i)*(h*v-f*g)-(e*s-n*i)*(u*v-f*d)+(e*l-a*i)*(u*g-h*d)+(r*s-n*o)*(c*v-f*p)-(r*l-a*o)*(c*g-h*p)+(n*l-a*s)*(c*d-u*p)}},{}],265:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=r+r,s=n+n,l=a+a,c=r*o,u=n*o,h=n*s,f=a*o,p=a*s,d=a*l,g=i*o,v=i*s,m=i*l;return t[0]=1-h-d,t[1]=u+m,t[2]=f-v,t[3]=0,t[4]=u-m,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],266:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=n+n,l=a+a,c=i+i,u=n*s,h=n*l,f=n*c,p=a*l,d=a*c,g=i*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(p+g),t[1]=h+y,t[2]=f-m,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+v,t[7]=0,t[8]=f+m,t[9]=d-v,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],267:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],268:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,k=a*c-i*l,T=u*g-h*d,M=u*v-f*d,A=u*m-p*d,S=h*v-f*g,E=h*m-p*g,L=f*m-p*v,C=y*L-x*E+b*S+_*A-w*M+k*T;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(a*E-n*L-i*S)*C,t[2]=(g*k-v*w+m*_)*C,t[3]=(f*w-h*k-p*_)*C,t[4]=(l*A-o*L-c*M)*C,t[5]=(r*L-a*A+i*M)*C,t[6]=(v*b-d*k-m*x)*C,t[7]=(u*k-f*b+p*x)*C,t[8]=(o*E-s*A+c*T)*C,t[9]=(n*A-r*E-i*T)*C,t[10]=(d*w-g*b+m*y)*C,t[11]=(h*b-u*w-p*y)*C,t[12]=(s*M-o*S-l*T)*C,t[13]=(r*S-n*M+a*T)*C,t[14]=(g*x-d*_-v*y)*C,t[15]=(u*_-h*x+f*y)*C,t}},{}],269:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],v=e[1],m=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],k=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6)return n(t);h=g-_,f=v-w,p=m-k,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(h*g+f*v+p*m),t[15]=1,t}},{\"./identity\":267}],270:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],v=e[13],m=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*v,t[2]=x*i+b*c+_*p+w*m,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*v,t[6]=x*i+b*c+_*p+w*m,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*v,t[10]=x*i+b*c+_*p+w*m,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*v,t[14]=x*i+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],271:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],272:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],273:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,w,k,T,M,A,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],v=e[9],m=e[10],y=e[11],x=E*E*o+i,b=L*E*o+C*a,_=C*E*o-L*a,w=E*L*o-C*a,k=L*L*o+i,T=C*L*o+E*a,M=E*C*o+L*a,A=L*C*o-E*a,S=C*C*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+v*_,t[2]=c*x+p*b+m*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*k+g*T,t[5]=l*w+f*k+v*T,t[6]=c*w+p*k+m*T,t[7]=u*w+d*k+y*T,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+v*S,t[10]=c*M+p*A+m*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],274:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],276:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],277:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],278:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*v+h*m+e[12],t[13]=a*g+l*v+f*m+e[13],t[14]=i*g+c*v+p*m+e[14],t[15]=o*g+u*v+d*m+e[15]);return t}},{}],279:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],280:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:a(t,e);break;case 16:i(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t};var n=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),i=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":260,\"gl-mat3/invert\":261,\"gl-mat4/invert\":268}],281:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}e.exports=function(t,e,r,i,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;u<t.length;++u)c[u]=o(t[u],r,i,s,l);for(var h=0,f=1/0,u=0;u<c.length;++u){for(var p=0,d=0;d<2;++d)p+=Math.pow(c[u][d]-e[d],2);p<f&&(f=p,h=u)}for(var g=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),v=0,u=0;u<3;++u){if(g[u]<-.001||g[u]>1.0001)return null;v+=g[u]}if(Math.abs(v-1)>.001)return null;return[h,function(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}(t,g),g]}},{barycentric:75,\"polytope-closest-point/lib/closest_point_2d.js\":483}],282:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),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\\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}\"]),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\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:411}],283:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),v=d.meshShader,m=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.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 T=k.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function 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}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=a[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.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=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,A)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)I=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z?function(t,e,r){for(var n=new Array(e),a=0;a<e;++a)n[a]=0;var i=t.length;for(a=0;a<i;++a)for(var o=t[a],s=0;s<o.length;++s)n[o[s]]=r[a];return n}(r,n.length,z):function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n));var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],V=0;V<3;++V)!isNaN(j[V])&&isFinite(j[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],j[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],j[V]));var U=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],V=0;V<3;++V)if(isNaN(j[V])||!isFinite(j[V]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(V=0;V<2;++V){j=n[W=G[V]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(V=0;V<2;++V){j=n[W=G[V]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(V=0;V<3;++V)for(j=n[W=G[V]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(V=0;V<3;++V){var W,X,Z,J;j=n[W=G[2-V]];a.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?i.push(X[0],X[1],X[2],this.opacity):(i.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}U+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.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&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,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())},T.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,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=g(a,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;var s=o[2],l=0;for(i=0;i<r.length;++i)l+=s[i]*this.intensity[r[i]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},T.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){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,v.vertex,v.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,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=A(t),c=S(t),h=E(t),f=L(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),y=a(t),x=a(t),b=a(t),_=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=a(t),T=a(t),M=a(t),C=a(t),P=i(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:M,type:t.FLOAT,size:2}]),O=a(t),z=a(t),I=a(t),D=a(t),R=a(t),F=i(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,C,T,M,P,O,R,z,I,D,F,B,i(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{\"./lib/closest-point\":281,\"./lib/shaders\":282,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452,normals:455,\"simplicial-complex-contour\":517,\"typedarray-pool\":544}],284:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],285:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=i[g],m=i[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*T/A,t[w]=2*(k-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*h[0].length,O=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),I=0+6*O,D=6*Math.max(0,z-O),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=L[1]*v/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=L[3]*v/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D))}}(),d.update=(f=[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)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304}],286:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],287:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,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:a,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:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:411}],288:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t]&&k&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,k)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t+2]&&k&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,k))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,v=a[o],m=a[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,v=p.font||\"sans-serif\";a=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*m);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304,\"text-cache\":535}],289:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],290:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[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 v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*a,r[0],r[3]+.5*m[3]*a,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*a,r[1],r[2]+.5*m[2]*a,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*a,r[2],r[3]+.5*m[3]*a,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*a,r[3],r[2]+.5*m[2]*a,r[3],m[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl;this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=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=i[s].slice(0);0!==l.length&&(l.sort(h),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:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":284,\"./lib/grid\":285,\"./lib/line\":286,\"./lib/text\":288,\"gl-select-static\":303}],291:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(M,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(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),r.preventDefault()},!!l&&{passive:!1}),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),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":413,\"mouse-change\":437,\"mouse-event-offset\":438,\"mouse-wheel\":440,\"right-now\":503}],292:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":304,glslify:411}],293:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function v(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function m(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement(\"canvas\"),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var y=t.gl;y||(y=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!y)throw new Error(\"webgl not supported\");var x=t.bounds||[[-10,-10,-10],[10,10,10]],b=new g,_=l(y,[y.drawingBufferWidth,y.drawingBufferHeight],{preferFloat:!d}),w=p(y),k=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:k},M=t.axes||{},A=a(y,M);A.enable=!M.disable;var S=t.spikes||{},E=o(y,S),L=[],C=[],P=[],O=[],z=!0,I=!0,D=new Array(16),R=new Array(16),F={view:null,projection:D,model:R,_ortho:!1},I=!0,B=[y.drawingBufferWidth,y.drawingBufferHeight],N=t.cameraObject||n(e,T),j={gl:y,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:b,camera:N,axes:A,axesPixels:null,spikes:E,bounds:x,objects:L,shape:B,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:m(t.autoResize),autoBounds:m(t.autoBounds),autoScale:!!t.autoScale,autoCenter:m(t.autoCenter),clipToBounds:m(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,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}},V=[y.drawingBufferWidth/j.pixelRatio|0,y.drawingBufferHeight/j.pixelRatio|0];function U(){if(!j._stopped&&j.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 a=0|Math.ceil(r*j.pixelRatio),i=0|Math.ceil(n*j.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",z=!0}}}j.autoResize&&U();function q(){for(var t=L.length,e=O.length,r=0;r<e;++r)P[r]=0;t:for(var r=0;r<t;++r){var n=L[r],a=n.pickSlots;if(a){for(var i=0;i<e;++i)if(P[i]+a<255){C[r]=i,n.setPickBase(P[i]+1),P[i]+=a;continue t}var o=s(y,B);C[r]=e,O.push(o),P.push(a),n.setPickBase(1),e+=1}else C[r]=-1}for(;e>0&&0===P[e-1];)P.pop(),O.pop().dispose()}function H(){if(j.contextLost)return!0;y.isContextLost()&&(j.contextLost=!0,j.mouseListener.enabled=!1,j.selection.object=null,j.oncontextloss&&j.oncontextloss())}window.addEventListener(\"resize\",U),j.update=function(t){j._stopped||(t=t||{},z=!0,I=!0)},j.add=function(t){j._stopped||(t.axes=A,L.push(t),C.push(-1),z=!0,I=!0,q())},j.remove=function(t){if(!j._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),C.pop(),z=!0,I=!0,q())}},j.dispose=function(){if(!j._stopped&&(j._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),j.mouseListener.enabled=!1,!j.contextLost)){A.dispose(),E.dispose();for(var t=0;t<L.length;++t)L[t].dispose();_.dispose();for(var t=0;t<O.length;++t)O[t].dispose();w.dispose(),y=null,A=null,E=null,L=[]}},j._mouseRotating=!1,j._prevButtons=0,j.enableMouseListeners=function(){j.mouseListener=u(e,function(t,e,r){if(!j._stopped){var n=O.length,a=L.length,i=b.object;b.distance=1/0,b.mouse[0]=e,b.mouse[1]=r,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var o=!1;if(t&&j._prevButtons)j._mouseRotating=!0;else{j._mouseRotating&&(I=!0),j._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,V[1]-r-1,j.pickRadius);if(l){if(l.distance>b.distance)continue;for(var c=0;c<a;++c){var u=L[c];if(C[c]===s){var h=u.pick(l);h&&(b.buttons=t,b.screen=l.coord,b.distance=l.distance,b.object=u,b.index=h.distance,b.dataPosition=h.position,b.dataCoordinate=h.dataCoordinate,b.data=h,o=!0)}}}}}i&&i!==b.object&&(i.highlight&&i.highlight(null),z=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),z=!0),(o=o||b.object!==i)&&j.onselect&&j.onselect(b),1&t&&!(1&j._prevButtons)&&j.onclick&&j.onclick(b),j._prevButtons=t}})},e.addEventListener(\"webglcontextlost\",H);var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Y=[G[0].slice(),G[1].slice()];function W(){if(!H()){U();var t=j.camera.tick();F.view=j.camera.matrix,z=z||t,I=I||t,A.pixelRatio=j.pixelRatio,E.pixelRatio=j.pixelRatio;var e=L.length,r=G[0],n=G[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var a=0;a<e;++a){var o=L[a];o.pixelRatio=j.pixelRatio,o.axes=j.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)r[p]=Math.min(r[p],l[p]),n[p]=Math.max(n[p],u[p])}var d=j.bounds;if(j.autoBounds)for(var p=0;p<3;++p){if(n[p]<r[p])r[p]=-1,n[p]=1;else{r[p]===n[p]&&(r[p]-=1,n[p]+=1);var g=.05*(n[p]-r[p]);r[p]=r[p]-g,n[p]=n[p]+g}d[0][p]=r[p],d[1][p]=n[p]}for(var m=!1,p=0;p<3;++p)m=m||Y[0][p]!==d[0][p]||Y[1][p]!==d[1][p],Y[0][p]=d[0][p],Y[1][p]=d[1][p];if(I=I||m,z=z||m){if(m){for(var x=[0,0,0],a=0;a<3;++a)x[a]=v((d[1][a]-d[0][a])/10);A.autoTicks?A.update({bounds:d,tickSpacing:x}):A.update({bounds:d})}var T=y.drawingBufferWidth,M=y.drawingBufferHeight;B[0]=T,B[1]=M,V[0]=0|Math.max(T/j.pixelRatio,1),V[1]=0|Math.max(M/j.pixelRatio,1),k?(f(D,-T/M,T/M,-1,1,j.zNear,j.zFar),F._ortho=!0):(h(D,j.fovy,T/M,j.zNear,j.zFar),F._ortho=!1);for(var a=0;a<16;++a)R[a]=0;R[15]=1;for(var S=0,a=0;a<3;++a)S=Math.max(S,d[1][a]-d[0][a]);for(var a=0;a<3;++a)j.autoScale?R[5*a]=j.aspect[a]/(d[1][a]-d[0][a]):R[5*a]=1/S,j.autoCenter&&(R[12+a]=.5*-R[5*a]*(d[0][a]+d[1][a]));for(var a=0;a<e;++a){var o=L[a];o.axesBounds=d,j.clipToBounds&&(o.clipBounds=d)}b.object&&(j.snapToData?E.position=b.dataCoordinate:E.position=b.dataPosition,E.bounds=d),I&&(I=!1,function(){if(H())return;y.colorMask(!0,!0,!0,!0),y.depthMask(!0),y.disable(y.BLEND),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL);for(var t=L.length,e=O.length,r=0;r<e;++r){var n=O[r];n.shape=V,n.begin();for(var a=0;a<t;++a)if(C[a]===r){var i=L[a];i.drawPick&&(i.pixelRatio=1,i.drawPick(F))}n.end()}}()),j.axesPixels=i(j.axes,F,T,M),j.onrender&&j.onrender(),y.bindFramebuffer(y.FRAMEBUFFER,null),y.viewport(0,0,T,M);var P=j.clearColor;y.clearColor(P[0],P[1],P[2],P[3]),y.clear(y.COLOR_BUFFER_BIT|y.DEPTH_BUFFER_BIT),y.depthMask(!0),y.colorMask(!0,!0,!0,!0),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL),y.disable(y.BLEND),y.disable(y.CULL_FACE);var N=!1;A.enable&&(N=N||A.isTransparent(),A.draw(F)),E.axes=A,b.object&&E.draw(F),y.disable(y.CULL_FACE);for(var a=0;a<e;++a){var o=L[a];o.axes=A,o.pixelRatio=j.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(F),o.isTransparent&&o.isTransparent()&&(N=!0)}if(N){_.shape=B,_.bind(),y.clear(y.DEPTH_BUFFER_BIT),y.colorMask(!1,!1,!1,!1),y.depthMask(!0),y.depthFunc(y.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isOpaque&&o.isOpaque()&&o.draw(F)}y.enable(y.BLEND),y.blendEquation(y.FUNC_ADD),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.colorMask(!0,!0,!0,!0),y.depthMask(!1),y.clearColor(0,0,0,0),y.clear(y.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isTransparent&&o.isTransparent()&&o.drawTransparent(F)}y.bindFramebuffer(y.FRAMEBUFFER,null),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.disable(y.DEPTH_TEST),w.bind(),_.color[0].bind(0),w.uniforms.accumBuffer=0,c(y),y.disable(y.BLEND)}z=!1;for(var a=0;a<e;++a)L[a].dirty=!1}}}return j.enableMouseListeners(),function t(){j._stopped||j.contextLost||(W(),requestAnimationFrame(t))}(),j.redraw=function(){j._stopped||(z=!0,W())},j},createCamera:n}},{\"./camera.js\":291,\"./lib/shader\":292,\"a-big-triangle\":62,\"gl-axes3d\":236,\"gl-axes3d/properties\":243,\"gl-fbo\":252,\"gl-mat4/ortho\":271,\"gl-mat4/perspective\":272,\"gl-select-static\":303,\"gl-spikes3d\":313,\"is-mobile\":422,\"mouse-change\":437}],294:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:411}],295:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":294,\"gl-buffer\":244,\"gl-shader\":304,\"typedarray-pool\":544}],296:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],v=r[3];(i=c*p+u*d+h*g+f*v)<0&&(i=-i,p=-p,d=-d,g=-g,v=-v);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],297:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],298:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":549}],299:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"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=a([\"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=a([\"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=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{\"gl-shader\":304,glslify:411}],300:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],k=h.slice(),T=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(i[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,L=0;L<16;++L)m[L]=0;for(L=0;L<4;++L)m[5*L]=1;m[5*v]=0,a[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var C=(v+1)%3,P=(v+2)%3,O=A(x),z=A(b);O[C]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=C;C=P,P=F}I[0]<0&&(O[C]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);O[C]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[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()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&L(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.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 a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},m.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*T.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(V=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=V[k];D[3]=1}else if(4===V.length){for(k=0;k<4;++k)D[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(m)){var V;if(3===(V=B?n<m.length?m[n]:[0,0,0,0]:m).length){for(k=0;k<3;++k)R[k]=V[k];R[k]=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];var U=.5;j?Array.isArray(d)?U=n<d.length?+d[n]:12:d?U=+d:this.useOrtho&&(U=12):U=0;var q=0;Array.isArray(v)?q=n<v.length?+v[n]:0:v&&(q=+v);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=T.cells||[],J=T.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];C[2*z]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=U*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,k=0;k<Z.length;++k)for(K=Z[k],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*I+$]=w[$];for($=0;$<4;++$)L[4*I+$]=R[$];P[I]=y;tt=J[K[Q]];C[2*I]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=U*(G*tt[0]+H*tt[1]+X[1]),I+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":297,\"./lib/glyphs\":298,\"./lib/shaders\":299,\"gl-buffer\":244,\"gl-mat4/multiply\":270,\"gl-vao\":329,\"is-string-blank\":425,\"typedarray-pool\":544}],301:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:411}],302:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,v,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,i),o.drawBox(h-m,d-m,p+m,d+m,i),o.drawBox(h-m,f-m,h+m,d+m,i),o.drawBox(p-m,f-m,p+m,d+m,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":301,\"gl-buffer\":244,\"gl-shader\":304}],303:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=n(t,e),i=a.mallocUint8(e[0]*e[1]*4);return new c(t,r,i)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2,s=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}\",args:[{name:\"_inline_16_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_16_a\",\"_inline_16_f\",\"_inline_16_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64});function l(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function c(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=c.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),u.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),c=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||u<=c)return null;var h=[o-a,u-c],f=i(this.buffer,[h[0],h[1],4],[4,4*n[0],1],4*(a+n[0]*c)),p=s(f.hi(h[0],h[1],1),r,r),d=p[0],g=p[1];return d<0||Math.pow(this.radius,2)<p[2]?null:new l(d+a|0,g+c|0,f.get(d,g,0),[f.get(d,g,1),f.get(d,g,2),f.get(d,g,3)],Math.sqrt(p[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":94,\"cwise/lib/wrapper\":151,\"gl-fbo\":252,ndarray:452,\"typedarray-pool\":544}],304:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},u.update=function(t,e,r,c){if(!e||1===arguments.length){var u=t;t=u.vertex,e=u.fragment,r=u.uniforms,c=u.attributes}var 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i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],310:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,a=r.length;n<a;++n){var i=t.programs[r[n]];i&&(delete t.programs[n],e.deleteProgram(i))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=i.get(t);return e||(e=new l(t),i.set(t,e)),e}c.getShaderReference=function(t,e){var 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s=[t,e,n,0,0,0,1];s[a+3]=1,s[a]=i,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[a]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[a]=i,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=a(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=i(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var h=new s(t,l,c,u);return h.update(e),h};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var a,i=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(a=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)a&&a[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=i,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":312,\"gl-buffer\":244,\"gl-vao\":329}],314:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:411}],315:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map(function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,v=0,m=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),v=n.length(_)/i,m=a.create(),n.copy(m,_),m[3]=w;for(var k=0;k<8;k++)p[k]=[b[0],b[1],b[2],k];if(f.length>0)for(k=0;k<8;k++){var T=(k+1)%8;c.push(f[k],p[k],p[T],p[T],f[T],f[k]),h.push(y,m,m,m,y,y),d.push(g,v,v,v,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=m,m=S;var E=g;g=v,v=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)}),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],v=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var m=g.cells[c],y=[];f.push(y);for(var x=0;x<m.length;x++)y.push(m[x]+v)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),v=s(i[2],u),m=d+1,y=g+1,x=v+1;if(d=l(d,0,h-1),m=l(m,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),v=l(v,0,p-1),x=l(x,0,p-1),d<0||g<0||v<0||m>h-1||y>f-1||x>p-1)return n.create();var b,_,w,k,T,M,A=i[0][d],S=i[0][m],E=i[1][g],L=i[1][y],C=i[2][v],P=(o-A)/(S-A),O=(c-E)/(L-E),z=(u-C)/(i[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,m=h-1-m),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(v=p-1-v,x=p-1-x),r.filled){case 5:T=v,M=x,w=g*p,k=y*p,b=d*p*f,_=m*p*f;break;case 4:T=v,M=x,b=d*p,_=m*p,w=g*p*h,k=y*p*h;break;case 3:w=g,k=y,T=v*f,M=x*f,b=d*f*p,_=m*f*p;break;case 2:w=g,k=y,b=d*f,_=m*f,T=v*f*h,M=x*f*h;break;case 1:b=d,_=m,T=v*h,M=x*h,w=g*h*p,k=y*h*p;break;default:b=d,_=m,w=g*h,k=y*h,T=v*h*f,M=x*h*f}var I=a[b+w+T],D=a[b+w+M],R=a[b+k+T],F=a[b+k+M],B=a[_+w+T],N=a[_+w+M],j=a[_+k+T],V=a[_+k+M],U=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(U,I,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,V,P);var Y=n.create(),W=n.create();n.lerp(Y,U,H,O),n.lerp(W,q,G,O);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1e4),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,i,o),n.add(r,r,s),r},v=[],m=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],k=function(t){var e=t[0],r=t[1],n=t[2];return!(e<m||e>b||r<y||r>_||n<x||n>w)},T=10*n.distance(e[0],e[1])/a,M=T*T,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),v=c(n),m=Math.min(d,g,v);return isFinite(m)?m:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],z=d(C),I=C;O.push(z);var D=[],R=g(C,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),v.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*a&&P.length<a&&k(C);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,T/Math.sqrt(j)),n.add(N,N,C),z=d(N),n.squaredDistance(I,N)-M>-1e-4*M){P.push(N),I=N,O.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var V=o(v,t.colormap,S,A);return h?V.tubeScale=h:(0===S&&(S=1),V.tubeScale=.5*u*A/S),V};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":314,\"gl-cone3d\":245,\"gl-vec3\":348,\"gl-vec4\":384}],316:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"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 ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":304,glslify:411}],317:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],318:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||\"jet\",v.update(m),v};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),v=t(\"ndarray-gradient\"),m=t(\"./lib/shaders\"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],M=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=M[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,a,i,o,l,c,u,f,p,d,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(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.isTransparent=function(){return this.opacity<1},L.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=P.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=k.slice(),D=[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=z;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,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 a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][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=D,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=O(n,this);if(u.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=M[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=M[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=M[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:k,view:k,projection:k,inverseModel:k,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||k,r.view=t.view||k,r.projection=t.projection||k,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=D;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=M[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=M[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}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,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},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),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);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 a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(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 i=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]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(m.data,i);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),E=w.get(1,o,b,0),L=w.get(1,o,b,1),C=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-L*C,z=C*A-P*M,I=M*L-A*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,V=-1/0,U=(i[0]-1)*(i[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*U)),H=0,G=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],Q=this._field[0].get(J+1,K+1),$=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=Q,q[H++]=$,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],Q+this.objectOffset[0]),R[1]=Math.min(R[1],$+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],Q+this.objectOffset[0]),F[1]=Math.max(F[1],$+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),V=Math.max(V,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],V=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(V-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===V||(r=!0),this.intensityBounds=[N,V]}if(\"levels\"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,i=this.shape;for(var rt=[],nt=0;nt<3;++nt){var at=this.contourLevels[nt],it=[],ot=[],st=[0,0,0];for(o=0;o<at.length;++o){var lt=f(this._field[nt],at[o]);it.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),i[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),i[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=it,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t){var e=u([l({colormap:t,nshades:S,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return c.divseq(e,255),e}(t.colormap))},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,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),k=b-_,T=1-k,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,L=1-E,C=T*L,P=T*E,O=k*L,z=k*E,I=C*h.get(_,A)+P*h.get(_,S)+O*h.get(w,A)+z*h.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+O*p.get(w,A)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=I,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":316,\"binary-search-bounds\":317,\"bit-twiddle\":94,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452,\"ndarray-gradient\":443,\"ndarray-ops\":446,\"ndarray-pack\":447,\"surface-nets\":530,\"typedarray-pool\":544}],319:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),v=t(\"object-assign\"),m=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({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(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(k.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(k.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(t){return parseFloat(t)}):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+\"px sans-serif\");var r,i=!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(k.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:k.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=k.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:\"top\",fontSize:k.baseFontSize,fontStyle:u.join(\" \")})},k.fonts[a]=e.font[r]}}),(i||o)&&this.font.forEach(function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],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),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){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){k.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)T[A++]=t.position[2*M],T[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)T[A++]=t.position[M][0],T[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:T}):this.position=this.regl.buffer({type:\"float\",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(C[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],V=P[2*z],U=P[2*z-1]+.5*j+.5*V;if(this.kerning){var q=D.kerning[N+B];q&&(U+=.001*q)}P[2*z+1]=U}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach(function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(k.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})})}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,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],k.normalViewport||(a*=-1),a})),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text=\"\",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement(\"canvas\"),k.atlasContext=k.atlasCanvas.getContext(\"2d\",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{\"bit-twiddle\":94,\"color-normalize\":122,\"css-font\":141,\"detect-kerning\":168,\"es6-weak-map\":320,\"flatten-vertex-data\":230,\"font-atlas\":231,\"font-measure\":232,\"gl-util/context\":325,\"is-plain-obj\":424,\"object-assign\":456,\"parse-rect\":461,\"parse-unit\":463,\"pick-by-alias\":467,regl:501,\"to-px\":538,\"typedarray-pool\":544}],320:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?WeakMap:t(\"./polyfill\")},{\"./is-implemented\":321,\"./polyfill\":323}],321:[function(t,e,r){\"use strict\";e.exports=function(){var t,e;if(\"function\"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},\"one\"],[{},\"two\"],[{},\"three\"]])}catch(t){return!1}return\"[object WeakMap]\"===String(t)&&(\"function\"==typeof 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v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,a,i){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new f(t,o,r,n,a,i)}(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()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,v=0;if(2===o.length)v=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])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");v=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)h=0===e.offset&&e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];p=i.malloc(m,r);var x=n(p,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):u(x,e),h=p.subarray(0,m)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,c,h),l||i.free(p);return new f(t,b,o[0],o[1],v,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(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 u=function(t,e){a.muls(t,e,255)};function h(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)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 f(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,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=f.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 g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new f(t,o,e,r,n,a)}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 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kr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!fe(e.expression)};kr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},kr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)};var Tr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!fe(e.expression),this.interpolationType=n};function Mr(t,e){if(\"error\"===(t=wr(t,e)).result)return t;var r=t.value.expression,n=he(r);if(!n&&!cr(e))return lr([new Pt(\"\",\"data expressions not supported\")]);var a=pe(r,[\"zoom\"]);if(!a&&!ur(e))return lr([new Pt(\"\",\"zoom expressions not supported\")]);var i=function t(e){var r=null;if(e instanceof Ve)r=t(e.result);else if(e instanceof je)for(var n=0,a=e.args;n<a.length;n+=1){var i=a[n];if(r=t(i))break}else(e instanceof me||e instanceof Be)&&e.input instanceof 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Tr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)},Tr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?Be.interpolationFactor(this.interpolationType,t,e,r):0};var Ar=function(t,e){this._parameters=t,this._specification=e,St(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(hr(r)?\"exponential\":\"interval\");if(o&&((e=St({},e)).stops&&(e.stops=e.stops.map(function(t){return[t[0],Wt.parse(t[1])]})),e.default?e.default=Wt.parse(e.default):e.default=Wt.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!Fe[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===u)n=yr;else if(\"interval\"===u)n=mr;else if(\"categorical\"===u){n=vr,a=Object.create(null);for(var h=0,f=e.stops;h<f.length;h+=1){var p=f[h];a[p[0]]=p[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?gr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Sr(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=fr(r);if(\"object\"!==l)return[new Mt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=Kr;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new Mt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Kr}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Mt(e,r,'missing required property \"'+p+'\"'));return s}function Er(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||Kr;if(\"array\"!==fr(e))return[new Mt(i,e,\"array expected, \"+fr(e)+\" 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0===t.value.property,l=!s,c=\"array\"===fr(t.value.stops)&&\"array\"===fr(t.value.stops[0])&&\"object\"===fr(t.value.stops[0][0]),u=Sr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new Mt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Er({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===fr(r)&&0===r.length&&e.push(new Mt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Kr({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new Mt(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new Mt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!hr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!cr(t.valueSpec)?u.push(new Mt(t.key,t.value,\"property functions not supported\")):s&&!ur(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new Mt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==fr(i))return[new Mt(s,i,\"array expected, \"+fr(i)+\" found\")];if(2!==i.length)return[new Mt(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==fr(i[0]))return[new Mt(s,i,\"object expected, \"+fr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new Mt(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new Mt(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new Mt(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Sr({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Lr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return _r(Ct(i[1]))?e.concat([new Mt(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(Kr({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=fr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Mt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Mt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return cr(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Mt(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new Mt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new Mt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Mt(t.key,c,\"integer expected, found \"+l)]}}function Pr(t){var e=(\"property\"===t.expressionContext?Mr:wr)(Ct(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map(function(e){return new Mt(\"\"+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&&-1!==r.possibleOutputs().indexOf(void 0))return[new Mt(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&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!pe(r,[\"zoom\",\"feature-state\"]))return[new Mt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!he(r))return[new Mt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function Or(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new Mt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=fr(r[1]),2!==r.length?o.push(new Mt(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new Mt(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"))}return o}(t)}function qr(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Kr({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new Mt(r,i,'unknown property \"'+o+'\"')];if(\"string\"===fr(i)&&cr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new Mt(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var 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this.int16[_+0]=e,this.int16[_+1]=r,this.int16[_+2]=n,this.int16[_+3]=a,this.int16[_+4]=i,this.int16[_+5]=o,this.uint16[_+6]=s,this.uint16[_+7]=l,this.uint16[_+8]=c,this.uint16[_+9]=u,this.uint16[_+10]=h,this.uint16[_+11]=f,this.uint16[_+12]=p,this.uint16[_+13]=d,this.uint16[_+14]=g,this.uint16[_+15]=v,this.uint16[_+16]=m,this.uint32[w+9]=y,this.float32[w+10]=x,this.float32[w+11]=b,t},e}(Xn);ca.prototype.bytesPerElement=48,pn(\"StructArrayLayout6i11ui1ul2f48\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Xn);ua.prototype.bytesPerElement=4,pn(\"StructArrayLayout1f4\",ua);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(Xn);ha.prototype.bytesPerElement=6,pn(\"StructArrayLayout3i6\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=2*t,i=4*t;return this.uint32[a+0]=e,this.uint16[i+2]=r,this.uint16[i+3]=n,t},e}(Xn);fa.prototype.bytesPerElement=8,pn(\"StructArrayLayout1ul2ui8\",fa);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.uint16[a+0]=e,this.uint16[a+1]=r,this.uint16[a+2]=n,t},e}(Xn);pa.prototype.bytesPerElement=6,pn(\"StructArrayLayout3ui6\",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Xn);da.prototype.bytesPerElement=4,pn(\"StructArrayLayout2ui4\",da);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return 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this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Wn);ya.prototype.size=24;var xa=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 ya(this,t)},e}(ia);pn(\"CollisionBoxArray\",xa);var ba=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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this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.upperSize.set=function(t){this._structArray.uint16[this._pos2+12]=t},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetX.set=function(t){this._structArray.float32[this._pos4+7]=t},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.lineOffsetY.set=function(t){this._structArray.float32[this._pos4+8]=t},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.writingMode.set=function(t){this._structArray.uint8[this._pos1+36]=t},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return 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za,this._bufferOffset=0};Ja.createDynamic=function(t,e,r){var n=new Ja,a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof Fn&&cr(o.property.specification)){var s=Qa(i,t.type),l=o.property.specification.type,c=o.property.useIntegerZoom;if(\"cross-faded\"===o.property.specification[\"property-type\"]||\"cross-faded-data-driven\"===o.property.specification[\"property-type\"])if(\"constant\"===o.value.kind)n.binders[i]=new Ya(o.value.value,s,l),a.push(\"/u_\"+i);else{var u=$a(i,l,\"source\");n.binders[i]=new Za(o.value,s,l,c,e,u,t.id),a.push(\"/a_\"+i)}else if(\"constant\"===o.value.kind)n.binders[i]=new Ga(o.value.value,s,l),a.push(\"/u_\"+i);else if(\"source\"===o.value.kind){var h=$a(i,l,\"source\");n.binders[i]=new Wa(o.value,s,l,h),a.push(\"/a_\"+i)}else{var f=$a(i,l,\"composite\");n.binders[i]=new Xa(o.value,s,l,c,e,f),a.push(\"/z_\"+i)}}}return n.cacheKey=a.sort().join(\"\"),n},Ja.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders)this.binders[i].populatePaintArray(t,e,n,a);void 0!==e.id&&this._featureMap.add(+e.id,r,this._bufferOffset,t),this._bufferOffset=t},Ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders)this.binders[r].setConstantPatternPositions(t,e)},Ja.prototype.updatePaintArrays=function(t,e,r,n){var a=!1;for(var i in t)for(var o=0,s=this._featureMap.getPositions(+i);o<s.length;o+=1){var l=s[o],c=e.feature(l.index);for(var u in this.binders){var h=this.binders[u];if(!(h instanceof Ga||h instanceof Ya)&&!0===h.expression.isStateDependent){var f=r.paint.get(u);h.expression=f.value,h.updatePaintArray(l.start,l.end,c,t[i],n),a=!0}}}return a},Ja.prototype.defines=function(){var t=[];for(var e in this.binders)t.push.apply(t,this.binders[e].defines());return t},Ja.prototype.getPaintVertexBuffers=function(){return this._buffers},Ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders)for(var a=this.binders[n],i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s]);r.push({name:s,property:n,binding:l})}}return r},Ja.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniforms(t,c,n,r.get(l),s)}},Ja.prototype.updatePatternPaintBuffers=function(t){var e=[];for(var r in this.binders){var n=this.binders[r];if(n instanceof Za){var a=2===t.fromScale?n.zoomInPaintVertexBuffer:n.zoomOutPaintVertexBuffer;a&&e.push(a)}else(n instanceof Wa||n instanceof Xa)&&n.paintVertexBuffer&&e.push(n.paintVertexBuffer)}this._buffers=e},Ja.prototype.upload=function(t){for(var e in this.binders)this.binders[e].upload(t);var r=[];for(var n in this.binders){var a=this.binders[n];(a instanceof Wa||a instanceof Xa)&&a.paintVertexBuffer&&r.push(a.paintVertexBuffer)}this._buffers=r},Ja.prototype.destroy=function(){for(var t in this.binders)this.binders[t].destroy()};var Ka=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=Ja.createDynamic(o,r,n),this.programConfigurations[o.id].layoutAttributes=t}this.needsUpload=!1};function Qa(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function $a(t,e,r){var n={color:{source:va,composite:ma},number:{source:ua,composite:va}},a=function(t){return{\"line-pattern\":{source:ea,composite:ea},\"fill-pattern\":{source:ea,composite:ea},\"fill-extrusion-pattern\":{source:ea,composite:ea}}[t]}(t);return a&&a[r]||n[e][r]}Ka.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.programConfigurations)this.programConfigurations[i].populatePaintArrays(t,e,r,n,a);this.needsUpload=!0},Ka.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,e,o,n)||this.needsUpload}},Ka.prototype.get=function(t){return this.programConfigurations[t]},Ka.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ka.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},pn(\"ConstantBinder\",Ga),pn(\"CrossFadedConstantBinder\",Ya),pn(\"SourceExpressionBinder\",Wa),pn(\"CrossFadedCompositeBinder\",Za),pn(\"CompositeExpressionBinder\",Xa),pn(\"ProgramConfiguration\",Ja,{omit:[\"_buffers\"]}),pn(\"ProgramConfigurationSet\",Ka);var ti=8192,ei=(15,{min:-1*Math.pow(2,14),max:Math.pow(2,14)-1});function ri(t){for(var e=ti/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var a=r[n],i=0;i<a.length;i++){var o=a[i];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ei.min||o.x>ei.max||o.y<ei.min||o.y>ei.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=c(o.x,ei.min,ei.max),o.y=c(o.y,ei.min,ei.max))}return r}function ni(t,e,r,n,a){t.emplaceBack(2*e+(n+1)/2,2*r+(a+1)/2)}var ai=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 Kn,this.indexArray=new pa,this.segments=new Pa,this.programConfigurations=new Ka(Ca,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function ii(t,e){for(var r=0;r<t.length;r++)if(di(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(di(t,e[n]))return!0;return!!ci(t,e)}function oi(t,e,r){return!!di(t,e)||!!hi(e,t,r)}function si(t,e){if(1===t.length)return pi(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(di(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(pi(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(ci(t,e[o]))return!0;return!1}function li(t,e,r){if(t.length>1){if(ci(t,e))return!0;for(var n=0;n<e.length;n++)if(hi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(hi(t[a],e,r))return!0;return!1}function ci(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(ui(n,a,e[i],e[i+1]))return!0;return!1}function ui(t,e,r,n){return k(t,r,n)!==k(e,r,n)&&k(t,e,r)!==k(t,e,n)}function hi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(fi(t,e[a-1],e[a])<n)return!0;return!1}function fi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return a<0?t.distSqr(e):a>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(a)._add(e))}function pi(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],a=r[l],n.y>e.y!=a.y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function di(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function gi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=k(t,e,r[0]);return i!==k(t,e,r[1])||i!==k(t,e,r[2])||i!==k(t,e,r[3])}function vi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).binders[t].maxValue}function mi(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function yi(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}ai.prototype.populate=function(t,e){var r=this.layers[0],n=[],a=null;\"circle\"===r.type&&(a=r.layout.get(\"circle-sort-key\"));for(var i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.index,u=s.sourceLayerIndex;if(this.layers[0]._featureFilter(new Cn(this.zoom),l)){var h=ri(l),f=a?a.evaluate(l,{}):void 0,p={id:l.id,properties:l.properties,type:l.type,sourceLayerIndex:u,index:c,geometry:h,patterns:{},sortKey:f};n.push(p)}}a&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var d=0,g=n;d<g.length;d+=1){var v=g[d],m=v,y=m.geometry,x=m.index,b=m.sourceLayerIndex,_=t[x].feature;this.addFeature(v,y,x),e.featureIndex.insert(_,y,x,b,this.index)}},ai.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ai.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ai.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ai.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ca),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ai.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ai.prototype.addFeature=function(t,e,r){for(var n=0,a=e;n<a.length;n+=1)for(var i=0,o=a[n];i<o.length;i+=1){var s=o[i],l=s.x,c=s.y;if(!(l<0||l>=ti||c<0||c>=ti)){var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=u.vertexLength;ni(this.layoutVertexArray,l,c,-1,-1),ni(this.layoutVertexArray,l,c,1,-1),ni(this.layoutVertexArray,l,c,1,1),ni(this.layoutVertexArray,l,c,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),u.vertexLength+=4,u.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{})},pn(\"CircleBucket\",ai,{omit:[\"layers\"]});var xi,bi=new Hn({\"circle-sort-key\":new jn(Tt.layout_circle[\"circle-sort-key\"])}),_i={paint:new Hn({\"circle-radius\":new jn(Tt.paint_circle[\"circle-radius\"]),\"circle-color\":new jn(Tt.paint_circle[\"circle-color\"]),\"circle-blur\":new jn(Tt.paint_circle[\"circle-blur\"]),\"circle-opacity\":new jn(Tt.paint_circle[\"circle-opacity\"]),\"circle-translate\":new Nn(Tt.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Nn(Tt.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Nn(Tt.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Nn(Tt.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new jn(Tt.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new jn(Tt.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new jn(Tt.paint_circle[\"circle-stroke-opacity\"])}),layout:bi},wi=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ki(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3];return t[0]=r[0]*n+r[4]*a+r[8]*i+r[12]*o,t[1]=r[1]*n+r[5]*a+r[9]*i+r[13]*o,t[2]=r[2]*n+r[6]*a+r[10]*i+r[14]*o,t[3]=r[3]*n+r[7]*a+r[11]*i+r[15]*o,t}Math.hypot||(Math.hypot=function(){for(var t=arguments,e=0,r=arguments.length;r--;)e+=t[r]*t[r];return Math.sqrt(e)}),xi=new wi(3),wi!=Float32Array&&(xi[0]=0,xi[1]=0,xi[2]=0),function(){var t=new wi(4);wi!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0,t[3]=0)}();var Ti=function(t){function e(e){t.call(this,e,_i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new ai(t)},e.prototype.queryRadius=function(t){var e=t;return vi(\"circle-radius\",this,e)+vi(\"circle-stroke-width\",this,e)+mi(this.paint.get(\"circle-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,i,o,s){for(var l=yi(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),i.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return l.map(function(t){return Mi(t,e)})}(0,s),f=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var g=0,v=d[p];g<v.length;g+=1){var m=v[g],y=u?m:Mi(m,s),x=f,b=ki([],[m.x,m.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?x*=b[3]/i.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(x*=i.cameraToCenterDistance/b[3]),oi(h,y,x))return!0}return!1},e}(Gn);function Mi(t,e){var r=ki([],[t.x,t.y,0,1],e);return new a(r[0]/r[3],r[1]/r[3])}var Ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(ai);function Si(t,e,r,n){var a=e.width,i=e.height;if(n){if(n instanceof Uint8ClampedArray)n=new Uint8Array(n.buffer);else if(n.length!==a*i*r)throw new RangeError(\"mismatched image size\")}else n=new Uint8Array(a*i*r);return t.width=a,t.height=i,t.data=n,t}function Ei(t,e,r){var n=e.width,a=e.height;if(n!==t.width||a!==t.height){var i=Si({},{width:n,height:a},r);Li(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function Li(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}pn(\"HeatmapBucket\",Ai,{omit:[\"layers\"]});var Ci=function(t,e){Si(this,t,1,e)};Ci.prototype.resize=function(t){Ei(this,t,1)},Ci.prototype.clone=function(){return new Ci({width:this.width,height:this.height},new Uint8Array(this.data))},Ci.copy=function(t,e,r,n,a){Li(t,e,r,n,a,1)};var Pi=function(t,e){Si(this,t,4,e)};Pi.prototype.resize=function(t){Ei(this,t,4)},Pi.prototype.replace=function(t,e){e?this.data.set(t):t instanceof Uint8ClampedArray?this.data=new Uint8Array(t.buffer):this.data=t},Pi.prototype.clone=function(){return new Pi({width:this.width,height:this.height},new Uint8Array(this.data))},Pi.copy=function(t,e,r,n,a){Li(t,e,r,n,a,4)},pn(\"AlphaImage\",Ci),pn(\"RGBAImage\",Pi);var Oi={paint:new Hn({\"heatmap-radius\":new jn(Tt.paint_heatmap[\"heatmap-radius\"]),\"heatmap-weight\":new jn(Tt.paint_heatmap[\"heatmap-weight\"]),\"heatmap-intensity\":new Nn(Tt.paint_heatmap[\"heatmap-intensity\"]),\"heatmap-color\":new qn(Tt.paint_heatmap[\"heatmap-color\"]),\"heatmap-opacity\":new Nn(Tt.paint_heatmap[\"heatmap-opacity\"])})};function zi(t,e){for(var r=new Uint8Array(1024),n={},a=0,i=0;a<256;a++,i+=4){n[e]=a/255;var o=t.evaluate(n);r[i+0]=Math.floor(255*o.r/o.a),r[i+1]=Math.floor(255*o.g/o.a),r[i+2]=Math.floor(255*o.b/o.a),r[i+3]=Math.floor(255*o.a)}return new 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c=t.readVarint();n=7&c,i=c>>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},Ao.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,a=0,i=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(a+=t.readSVarint())<o&&(o=a),a>s&&(s=a),(i+=t.readSVarint())<l&&(l=i),i>c&&(c=i);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ao.prototype.toGeoJSON=function(t,e,r){var n,a,i=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ao.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/i;t[e]=[360*(r.x+o)/i-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=Eo(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Lo=Co;function Co(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(Po,this,e),this.length=this._features.length}function Po(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 Oo(t,e,r){if(3===t){var n=new Lo(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Co.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 Mo(this._pbf,e,this.extent,this._keys,this._values)};var zo={VectorTile:function(t,e){this.layers=t.readFields(Oo,{},e)},VectorTileFeature:Mo,VectorTileLayer:Lo},Io=zo.VectorTileFeature.types,Do=Math.pow(2,13);function Ro(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*Do)+o,a*Do*2,i*Do*2,Math.round(s))}var Fo=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 $n,this.indexArray=new pa,this.programConfigurations=new Ka(To,t.layers,t.zoom),this.segments=new Pa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function Bo(t,e){return t.x===e.x&&(t.x<0||t.x>ti)||t.y===e.y&&(t.y<0||t.y>ti)}function No(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ti})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ti})}Fo.prototype.populate=function(t,e){this.features=[],this.hasPattern=yo(\"fill-extrusion\",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var a=n[r],i=a.feature,o=a.index,s=a.sourceLayerIndex;if(this.layers[0]._featureFilter(new Cn(this.zoom),i)){var l=ri(i),c={sourceLayerIndex:s,index:o,geometry:l,properties:i.properties,type:i.type,patterns:{}};void 0!==i.id&&(c.id=i.id),this.hasPattern?this.features.push(xo(\"fill-extrusion\",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(i,l,o,s,this.index,!0)}}},Fo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var a=n[r],i=a.geometry;this.addFeature(a,i,a.index,e)}},Fo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Fo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Fo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,To),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fo.prototype.addFeature=function(t,e,r,n){for(var a=0,i=vo(e,500);a<i.length;a+=1){for(var o=i[a],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!No(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!Bo(v,m)){u.vertexLength+4>Pa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Ro(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Ro(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Ro(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Ro(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Pa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Io[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,M=o;T<M.length;T+=1){var A=M[T];if(0!==A.length){A!==o[0]&&w.push(_.length/2);for(var S=0;S<A.length;S++){var E=A[S];Ro(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var L=Bi(_,w),C=0;C<L.length;C+=3)this.indexArray.emplaceBack(k+L[C],k+L[C+2],k+L[C+1]);u.primitiveLength+=L.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},pn(\"FillExtrusionBucket\",Fo,{omit:[\"layers\",\"features\"]});var jo={paint:new Hn({\"fill-extrusion-opacity\":new Nn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Nn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Nn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Nn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Vo=function(t){function e(e){t.call(this,e,jo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Fo(t)},e.prototype.queryRadius=function(){return mi(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 c=yi(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];ki(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],M=n[1]*w+n[5]*k+n[13],A=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=A+c,L=S+u,C=T+h,P=M+f,O=A+p,z=S+d,I=new a((T+s)/L,(M+l)/L);I.z=E/L,m.push(I);var D=new a(C/z,P/z);D.z=O/z,y.push(D)}i.push(m),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;si(r,e)&&(n=qo(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=i[s+1],u=o[s],h=[l,c,o[s+1],u,l];ii(r,h)&&(n=Math.min(n,qo(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(Gn);function Uo(t,e){return t.x*e.x+t.y*e.y}function qo(t,e){if(1===t.length){var r=e[0],n=e[1],a=e[3],i=t[0],o=n.sub(r),s=a.sub(r),l=i.sub(r),c=Uo(o,o),u=Uo(o,s),h=Uo(s,s),f=Uo(l,o),p=Uo(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+a.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Ho=Zn([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Go=zo.VectorTileFeature.types,Yo=Math.cos(Math.PI/180*37.5),Wo=Math.pow(2,14)/.5,Xo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ta,this.indexArray=new pa,this.programConfigurations=new Ka(Ho,t.layers,t.zoom),this.segments=new Pa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};Xo.prototype.populate=function(t,e){this.hasPattern=yo(\"line\",this.layers,e);for(var r=this.layers[0].layout.get(\"line-sort-key\"),n=[],a=0,i=t;a<i.length;a+=1){var o=i[a],s=o.feature,l=o.index,c=o.sourceLayerIndex;if(this.layers[0]._featureFilter(new Cn(this.zoom),s)){var u=ri(s),h=r?r.evaluate(s,{}):void 0,f={id:s.id,properties:s.properties,type:s.type,sourceLayerIndex:c,index:l,geometry:u,patterns:{},sortKey:h};n.push(f)}}r&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var p=0,d=n;p<d.length;p+=1){var g=d[p],v=g,m=v.geometry,y=v.index,x=v.sourceLayerIndex;if(this.hasPattern){var b=xo(\"line\",this.layers,g,this.zoom,e);this.patternFeatures.push(b)}else this.addFeature(g,m,y,{});var _=t[y].feature;e.featureIndex.insert(_,m,y,x,this.index)}},Xo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Xo.prototype.addFeatures=function(t,e){for(var r=0,n=this.patternFeatures;r<n.length;r+=1){var a=n[r];this.addFeature(a,a.geometry,a.index,e)}},Xo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Xo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Xo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ho),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Xo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Xo.prototype.addFeature=function(t,e,r,n){for(var a=this.layers[0].layout,i=a.get(\"line-join\").evaluate(t,{}),o=a.get(\"line-cap\"),s=a.get(\"line-miter-limit\"),l=a.get(\"line-round-limit\"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,i,o,s,l,r,n)}},Xo.prototype.addLine=function(t,e,r,n,a,i,o,s){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var l=0;l<t.length-1;l++)this.totalDistance+=t[l].dist(t[l+1])}for(var c=\"Polygon\"===Go[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){\"bevel\"===r&&(a=1.05);var f,p=ti/(512*this.overscaling)*15,d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray),g=void 0,v=void 0,m=void 0,y=void 0;this.e1=this.e2=-1,c&&(f=t[u-2],y=t[h].sub(f)._unit()._perp());for(var x=h;x<u;x++)if(!(v=c&&x===u-1?t[h+1]:t[x+1])||!t[x].equals(v)){y&&(m=y),f&&(g=f),f=t[x],y=v?v.sub(f)._unit()._perp():m;var b=(m=m||y).add(y);0===b.x&&0===b.y||b._unit();var _=m.x*y.x+m.y*y.y,w=b.x*y.x+b.y*y.y,k=0!==w?1/w:1/0,T=2*Math.sqrt(2-2*w),M=w<Yo&&g&&v,A=m.x*y.y-m.y*y.x>0;if(M&&x>h){var S=f.dist(g);if(S>2*p){var E=f.sub(f.sub(g)._mult(p/S)._round());this.updateDistance(g,E),this.addCurrentVertex(E,m,0,0,d),g=E}}var L=g&&v,C=L?r:c?\"butt\":n;if(L&&\"round\"===C&&(k<i?C=\"miter\":k<=2&&(C=\"fakeround\")),\"miter\"===C&&k>a&&(C=\"bevel\"),\"bevel\"===C&&(k>2&&(C=\"flipbevel\"),k<a&&(C=\"miter\")),g&&this.updateDistance(g,f),\"miter\"===C)b._mult(k),this.addCurrentVertex(f,b,0,0,d);else if(\"flipbevel\"===C){if(k>100)b=y.mult(-1);else{var P=k*m.add(y).mag()/m.sub(y).mag();b._perp()._mult(P*(A?-1:1))}this.addCurrentVertex(f,b,0,0,d),this.addCurrentVertex(f,b.mult(-1),0,0,d)}else if(\"bevel\"===C||\"fakeround\"===C){var O=-Math.sqrt(k*k-1),z=A?O:0,I=A?0:O;if(g&&this.addCurrentVertex(f,m,z,I,d),\"fakeround\"===C)for(var D=Math.round(180*T/Math.PI/20),R=1;R<D;R++){var F=R/D;if(.5!==F){var B=F-.5;F+=F*B*(F-1)*((1.0904+_*(_*(3.55645-1.43519*_)-3.2452))*B*B+(.848013+_*(.215638*_-1.06021)))}var N=y.sub(m)._mult(F)._add(m)._unit()._mult(A?-1:1);this.addHalfVertex(f,N.x,N.y,!1,A,0,d)}v&&this.addCurrentVertex(f,y,-z,-I,d)}else if(\"butt\"===C)this.addCurrentVertex(f,b,0,0,d);else if(\"square\"===C){var j=g?1:-1;this.addCurrentVertex(f,b,j,j,d)}else\"round\"===C&&(g&&(this.addCurrentVertex(f,m,0,0,d),this.addCurrentVertex(f,m,1,1,d,!0)),v&&(this.addCurrentVertex(f,y,-1,-1,d,!0),this.addCurrentVertex(f,y,0,0,d)));if(M&&x<u-1){var V=f.dist(v);if(V>2*p){var U=f.add(v.sub(f)._mult(p/V)._round());this.updateDistance(f,U),this.addCurrentVertex(U,y,0,0,d),f=U}}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},Xo.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,i,!1,r,a),this.addHalfVertex(t,l,c,i,!0,-n,a),this.distance>Wo/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Xo.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),a?this.e2=u:this.e1=u},Xo.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Wo-1):this.distance},pn(\"LineBucket\",Xo,{omit:[\"layers\",\"patternFeatures\"]});var Zo=new Hn({\"line-cap\":new Nn(Tt.layout_line[\"line-cap\"]),\"line-join\":new jn(Tt.layout_line[\"line-join\"]),\"line-miter-limit\":new Nn(Tt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Nn(Tt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new jn(Tt.layout_line[\"line-sort-key\"])}),Jo={paint:new Hn({\"line-opacity\":new jn(Tt.paint_line[\"line-opacity\"]),\"line-color\":new jn(Tt.paint_line[\"line-color\"]),\"line-translate\":new Nn(Tt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Nn(Tt.paint_line[\"line-translate-anchor\"]),\"line-width\":new jn(Tt.paint_line[\"line-width\"]),\"line-gap-width\":new jn(Tt.paint_line[\"line-gap-width\"]),\"line-offset\":new jn(Tt.paint_line[\"line-offset\"]),\"line-blur\":new jn(Tt.paint_line[\"line-blur\"]),\"line-dasharray\":new Un(Tt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vn(Tt.paint_line[\"line-pattern\"]),\"line-gradient\":new qn(Tt.paint_line[\"line-gradient\"])}),layout:Zo},Ko=new(function(t){function e(){t.apply(this,arguments)}return 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is(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var 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us(t,e,r,n,a,i,o,s,l,c,u){var h,f=cs.fromFeature(t,r);c===ls.vertical&&f.verticalizePunctuation();var p=Ln.processBidirectionalText,d=Ln.processStyledBidirectionalText;if(p&&1===f.sections.length){h=[];for(var g=0,v=p(f.toString(),vs(f,s,n,e));g<v.length;g+=1){var m=v[g],y=new cs;y.text=m,y.sections=f.sections;for(var x=0;x<m.length;x++)y.sectionIndex.push(0);h.push(y)}}else if(d){h=[];for(var b=0,_=d(f.text,f.sectionIndex,vs(f,s,n,e));b<_.length;b+=1){var w=_[b],k=new cs;k.text=w[0],k.sectionIndex=w[1],k.sections=f.sections,h.push(k)}}else h=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(f,vs(f,s,n,e));var T=[],M={positionedGlyphs:T,text:f.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:h.length,yOffset:-17};return function(t,e,r,n,a,i,o,s,l){for(var c=0,u=t.yOffset,h=0,f=t.positionedGlyphs,p=\"right\"===i?1:\"left\"===i?0:.5,d=0,g=r;d<g.length;d+=1){var v=g[d];v.trim();var m=v.getMaxScale();if(v.length()){for(var y=f.length,x=0;x<v.length();x++){var b=v.getSection(x),_=v.getSectionIndex(x),w=v.getCharCode(x),k=24*(m-b.scale),T=e[b.fontStack],M=T&&T[w];M&&(o===ls.horizontal||!l&&!_n(w)||l&&(hs[w]||(S=w,yn.Arabic(S)||yn[\"Arabic Supplement\"](S)||yn[\"Arabic Extended-A\"](S)||yn[\"Arabic Presentation Forms-A\"](S)||yn[\"Arabic Presentation Forms-B\"](S)))?(f.push({glyph:w,x:c,y:u+k,vertical:!1,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=M.metrics.advance*b.scale+s):(f.push({glyph:w,x:c,y:u+k,vertical:!0,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=ss*b.scale+s))}if(f.length!==y){var A=c-s;h=Math.max(A,h),ys(f,e,y,f.length-1,p)}c=0,u+=n*m}else u+=n}var S,E=ms(a),L=E.horizontalAlign,C=E.verticalAlign;!function(t,e,r,n,a,i,o){for(var 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s=n[i],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:a}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new Cn(s)),maxSize:r.evaluate(new Cn(l)),interpolationType:a}}function ws(t,e,r){var n=e.uSize,a=e.uSizeT,i=r.lowerSize,o=r.upperSize;return\"source\"===t.kind?i/bs:\"composite\"===t.kind?ye(i/bs,o/bs,a):n}function ks(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var a=t.interpolationType,i=t.minZoom,o=t.maxZoom,s=a?c(Be.interpolationFactor(a,e,i,o),0,1):0;\"camera\"===t.kind?n=ye(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Ts=Object.freeze({getSizeData:_s,evaluateSizeForFeature:ws,evaluateSizeForZoom:ks,SIZE_PACK_FACTOR:bs}),Ms=zo.VectorTileFeature.types,As=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Ss(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*a),i,o,s?s[0]:0,s?s[1]:0)}function Es(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)}var Ls=function(t){this.layoutVertexArray=new ra,this.indexArray=new pa,this.programConfigurations=t,this.segments=new Pa,this.dynamicLayoutVertexArray=new na,this.opacityVertexArray=new aa,this.placedSymbolArray=new _a};Ls.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ts.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,es.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,As,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Ls.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},pn(\"SymbolBuffers\",Ls);var Cs=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Pa,this.collisionVertexArray=new sa};Cs.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,rs.members,!0)},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},pn(\"CollisionBuffers\",Cs);var Ps=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.hasPaintOverrides=!1;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_s(this.zoom,e[\"text-size\"]),this.iconSizeData=_s(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1);var i=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=i&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map(function(t){return ls[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Ps.prototype.createArrays=function(){var t=this.layers[0].layout;this.hasPaintOverrides=Ds.hasPaintOverrides(t),this.text=new Ls(new Ka(ts.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Ls(new Ka(ts.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Cs(oa,ns.members,da),this.collisionCircle=new Cs(oa,as.members,pa),this.glyphOffsetArray=new Ma,this.lineVertexArray=new Sa,this.symbolInstances=new ka},Ps.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=os[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},Ps.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,a=n.get(\"text-font\"),i=n.get(\"text-field\"),o=n.get(\"icon-image\"),s=(\"constant\"!==i.value.kind||i.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),l=\"constant\"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get(\"symbol-sort-key\");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Cn(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens(\"text-field\",v);x=is(b instanceof Jt?b:Jt.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens(\"icon-image\",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:ri(v),properties:v.properties,type:Ms[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x){var T=a.evaluate(v,{}).join(\",\"),M=\"map\"===n.get(\"text-rotation-alignment\")&&\"point\"!==n.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(ls.vertical)>=0;for(var A=0,S=x.sections;A<S.length;A+=1){var E=S[A],L=xn(x.toString()),C=E.fontStack||T,P=h[C]=h[C]||{};this.calculateGlyphDependencies(E.text,P,M,this.allowVerticalPlacement,L)}}}}}\"line\"===n.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},Ps.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))},Ps.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Ps.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ps.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.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},Ps.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Ps.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[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--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Ps.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c){var u=this,h=t.indexArray,f=t.layoutVertexArray,p=t.dynamicLayoutVertexArray,d=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,i.sortKey),g=this.glyphOffsetArray.length,v=d.vertexLength,m=this.allowVerticalPlacement&&o===ls.vertical?Math.PI/2:0,y=function(t){var e=t.tl,n=t.tr,a=t.bl,i=t.br,o=t.tex,l=d.vertexLength,c=t.glyphOffset[1];Ss(f,s.x,s.y,e.x,c+e.y,o.x,o.y,r),Ss(f,s.x,s.y,n.x,c+n.y,o.x+o.w,o.y,r),Ss(f,s.x,s.y,a.x,c+a.y,o.x,o.y+o.h,r),Ss(f,s.x,s.y,i.x,c+i.y,o.x+o.w,o.y+o.h,r),Es(p,s,m),h.emplaceBack(l,l+1,l+2),h.emplaceBack(l+1,l+2,l+3),d.vertexLength+=4,d.primitiveLength+=2,u.glyphOffsetArray.emplaceBack(t.glyphOffset[0])};if(i.text&&i.text.sections){var x=i.text.sections;if(this.hasPaintOverrides){for(var b,_=function(e,r){void 0===b||b===e&&!r||t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[b]),b=e},w=0,k=e;w<k.length;w+=1){var T=k[w];_(T.sectionIndex,!1),y(T)}_(b,!0)}else{for(var M=0,A=e;M<A.length;M+=1)y(A[M]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[0])}}else{for(var S=0,E=e;S<E.length;S+=1)y(E[S]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{})}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,v,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0)},Ps.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},Ps.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s,l){var c=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=c.vertexLength,h=i.layoutVertexArray,f=i.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new a(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new a(t,n)),c.vertexLength+=4,l){var g=i.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=i.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Ps.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var a=this.collisionBoxArray.get(n),i=a.x1,o=a.y1,s=a.x2,l=a.y2,c=a.radius>0;this.addCollisionDebugVertices(i,o,s,l,c?this.collisionCircle:this.collisionBox,a.anchorPoint,r,c)}},Ps.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Ps.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o){for(var s={},l=e;l<r;l++){var c=t.get(l);if(0===c.radius){s.textBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},s.textFeatureIndex=c.featureIndex;break}s.textCircles||(s.textCircles=[],s.textFeatureIndex=c.featureIndex),s.textCircles.push(c.anchorPointX,c.anchorPointY,c.radius,c.signedDistanceFromAnchor,1)}for(var u=n;u<a;u++){var h=t.get(u);if(0===h.radius){s.verticalTextBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},s.verticalTextFeatureIndex=h.featureIndex;break}}for(var f=i;f<o;f++){var p=t.get(f);if(0===p.radius){s.iconBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},s.iconFeatureIndex=p.featureIndex;break}}return s},Ps.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))}},Ps.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ps.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ps.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Ps.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Ps.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Ps.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=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort(function(t,e){return n[t]-n[e]||a[e]-a[t]}),i},Ps.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 a=n[r],i=this.symbolInstances.get(a);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedTextSymbol(t)}),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(i.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(a);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},pn(\"SymbolBucket\",Ps,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Ps.MAX_GLYPHS=65535,Ps.addDynamicAttributes=Es;var Os=new Hn({\"symbol-placement\":new Nn(Tt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Nn(Tt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Nn(Tt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new jn(Tt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Nn(Tt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Nn(Tt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Nn(Tt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Nn(Tt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Nn(Tt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new jn(Tt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Nn(Tt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Nn(Tt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new jn(Tt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new jn(Tt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Nn(Tt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Nn(Tt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new jn(Tt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new jn(Tt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Nn(Tt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Nn(Tt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Nn(Tt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new jn(Tt.layout_symbol[\"text-field\"]),\"text-font\":new jn(Tt.layout_symbol[\"text-font\"]),\"text-size\":new jn(Tt.layout_symbol[\"text-size\"]),\"text-max-width\":new jn(Tt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Nn(Tt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new jn(Tt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new jn(Tt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new jn(Tt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Nn(Tt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new jn(Tt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Nn(Tt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Nn(Tt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new jn(Tt.layout_symbol[\"text-rotate\"]),\"text-padding\":new Nn(Tt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Nn(Tt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new jn(Tt.layout_symbol[\"text-transform\"]),\"text-offset\":new jn(Tt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Nn(Tt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Nn(Tt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Nn(Tt.layout_symbol[\"text-optional\"])}),zs={paint:new Hn({\"icon-opacity\":new jn(Tt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new jn(Tt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new jn(Tt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new jn(Tt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new jn(Tt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Nn(Tt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Nn(Tt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new jn(Tt.paint_symbol[\"text-opacity\"]),\"text-color\":new jn(Tt.paint_symbol[\"text-color\"],{runtimeType:Ft,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new jn(Tt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new jn(Tt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new jn(Tt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Nn(Tt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Nn(Tt.paint_symbol[\"text-translate-anchor\"])}),layout:Os},Is=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:zt,this.defaultValue=t};Is.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},Is.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Is.prototype.possibleOutputs=function(){return[void 0]},Is.prototype.serialize=function(){return null},pn(\"FormatSectionOverride\",Is,{omit:[\"defaultValue\"]});var Ds=function(t){function e(e){t.call(this,e,zs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){if(t.prototype.recalculate.call(this,e),\"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 r=this.layout.get(\"text-writing-mode\");if(r){for(var n=[],a=0,i=r;a<i.length;a+=1){var o=i[a];n.indexOf(o)<0&&n.push(o)}this.layout._values[\"text-writing-mode\"]=n}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e){var r=this.layout.get(t).evaluate(e,{}),n=this._unevaluatedLayout._values[t];return n.isDataDriven()||_r(n.value)?r:function(t,e){return r.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):\"\"})}(e.properties)},e.prototype.createBucket=function(t){return new Ps(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=zs.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new Is(i),s=new br(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new kr(\"source\",s):new Tr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new Fn(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=zs.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1){var i=r[e];if(n.overrides&&n.overrides.hasOverride(i))return void(a=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof Jt)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!a)if(t instanceof te&&Qt(t.value)===Vt){var e=t.value;i(e.sections)}else t instanceof ae?i(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e.hasPaintOverrides=function(t){for(var r=0,n=zs.paint.overridableProperties;r<n.length;r+=1){var a=n[r];if(e.hasPaintOverride(t,a))return!0}return!1},e}(Gn),Rs={paint:new Hn({\"background-color\":new Nn(Tt.paint_background[\"background-color\"]),\"background-pattern\":new Un(Tt.paint_background[\"background-pattern\"]),\"background-opacity\":new Nn(Tt.paint_background[\"background-opacity\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Gn),Bs={paint:new Hn({\"raster-opacity\":new Nn(Tt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Nn(Tt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Nn(Tt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Nn(Tt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Nn(Tt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Nn(Tt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Nn(Tt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Nn(Tt.paint_raster[\"raster-fade-duration\"])})},Ns=function(t){function e(e){t.call(this,e,Bs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Gn),js=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}(Gn),Vs={circle:Ti,heatmap:Ii,hillshade:Ri,fill:ko,\"fill-extrusion\":Vo,line:Qo,symbol:Ds,background:Fs,raster:Ns};function Us(t){for(var e=0,r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];e+=i.w*i.h,r=Math.max(r,i.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var qs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Hs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Hs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Hs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Hs.tlbr.get=function(){return this.tl.concat(this.br)},Hs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(qs.prototype,Hs);var Gs=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=Us(a),o=i.w,s=i.h,l=new Pi({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Pi.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Pi.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Pi.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Pi.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Pi.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Pi.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Gs.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new qs(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Gs.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)},Gs.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,a=n[0],i=n[1];r.update(e.data,void 0,{x:a,y:i})}},pn(\"ImagePosition\",qs),pn(\"ImageAtlas\",Gs);var Ys=self.HTMLImageElement,Ws=self.HTMLCanvasElement,Xs=self.HTMLVideoElement,Zs=self.ImageData,Js=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Js.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||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)),i)this.size=[n,a],t instanceof Ys||t instanceof Ws||t instanceof Xs||t instanceof Zs?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Ys||t instanceof Ws||t instanceof Xs||t instanceof Zs?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Js.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)},Js.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Js.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ks=function(t,e,r,n,a){var i,o,s=8*a-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?a-1:0,f=r?-1:1,p=t[e+h];for(h+=f,i=p&(1<<-u)-1,p>>=-u,u+=s;u>0;i=256*i+t[e+h],h+=f,u-=8);for(o=i&(1<<-u)-1,i>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===i)i=1-c;else{if(i===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),i-=c}return(p?-1:1)*o*Math.pow(2,i-n)},Qs=function(t,e,r,n,a,i){var o,s,l,c=8*i-a-1,u=(1<<c)-1,h=u>>1,f=23===a?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:i-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,a),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,a),o=0));a>=8;t[r+p]=255&s,p+=d,s/=256,a-=8);for(o=o<<a|s,c+=a;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},$s=tl;function tl(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function el(t){return t.type===tl.Bytes?t.readVarint()+t.pos:t.pos+1}function rl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function nl(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var a=r.pos-1;a>=t;a--)r.buf[a+n]=r.buf[a]}function al(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function il(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function pl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function dl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function gl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}tl.Varint=0,tl.Fixed64=1,tl.Bytes=2,tl.Fixed32=5,tl.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),a=n>>3,i=this.pos;this.type=7&n,t(a,e,this),this.pos===i&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=pl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=gl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=pl(this.buf,this.pos)+4294967296*pl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=pl(this.buf,this.pos)+4294967296*gl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=Ks(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Ks(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,a,i=r.buf;if(n=(112&(a=i[r.pos++]))>>4,a<128)return rl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<3,a<128)return rl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<10,a<128)return rl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<17,a<128)return rl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<24,a<128)return rl(t,n,e);if(n|=(1&(a=i[r.pos++]))<<31,a<128)return rl(t,n,e);throw new Error(\"Expected varint not more than 10 bytes\")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n=\"\",a=e;a<r;){var i,o,s,l=t[a],c=null,u=l>239?4:l>223?3:l>191?2:1;if(a+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(i=t[a+1]))&&(c=(31&l)<<6|63&i)<=127&&(c=null):3===u?(i=t[a+1],o=t[a+2],128==(192&i)&&128==(192&o)&&((c=(15&l)<<12|(63&i)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(i=t[a+1],o=t[a+2],s=t[a+3],128==(192&i)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&i)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),a+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==tl.Bytes)return t.push(this.readVarint(e));var r=el(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==tl.Bytes)return t.push(this.readSVarint());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==tl.Bytes)return t.push(this.readBoolean());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==tl.Bytes)return t.push(this.readFloat());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==tl.Bytes)return t.push(this.readDouble());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==tl.Bytes)return t.push(this.readFixed32());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==tl.Bytes)return t.push(this.readSFixed32());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==tl.Bytes)return t.push(this.readFixed64());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==tl.Bytes)return t.push(this.readSFixed64());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===tl.Varint)for(;this.buf[this.pos++]>127;);else if(e===tl.Bytes)this.pos=this.readVarint()+this.pos;else if(e===tl.Fixed32)this.pos+=4;else{if(e!==tl.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),dl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),dl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),dl(this.buf,-1&t,this.pos),dl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),dl(this.buf,-1&t,this.pos),dl(this.buf,Math.floor(t*(1/4294967296)),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,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=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),Qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,tl.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,al,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writeBytesField:function(t,e){this.writeTag(t,tl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,tl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,tl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,tl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,tl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,tl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,tl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,tl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,tl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,tl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var vl=3;function ml(t,e,r){1===t&&r.readMessage(yl,e)}function yl(t,e,r){if(3===t){var n=r.readMessage(xl,{}),a=n.id,i=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:a,bitmap:new Ci({width:o+2*vl,height:s+2*vl},i),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function xl(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 bl=vl,_l=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()})};_l.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))};var wl=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new _l(this.process),this.target.addEventListener(\"message\",this.receive,!1)};function kl(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]}wl.prototype.send=function(t,e,r,n){var a=this,i=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[i]=r);var o=[];return this.target.postMessage({id:i,type:t,hasCallback:!!r,targetMapId:n,sourceMapId:this.mapId,data:gn(e,o)},o),{cancel:function(){r&&delete a.callbacks[i],a.target.postMessage({id:i,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},wl.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 this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()},wl.prototype.process=function(){var t=this;if(this.taskQueue.length){var e=this.taskQueue.shift(),r=this.tasks[e];if(delete this.tasks[e],this.taskQueue.length&&this.invoker.trigger(),r)if(\"<response>\"===r.type){var n=this.callbacks[e];delete this.callbacks[e],n&&(r.error?n(vn(r.error)):n(null,vn(r.data)))}else{var a=!1,i=r.hasCallback?function(r,n){a=!0,delete t.cancelCallbacks[e];var i=[];t.target.postMessage({id:e,type:\"<response>\",sourceMapId:t.mapId,error:r?gn(r):null,data:gn(n,i)},i)}:function(t){a=!0},o=null,s=vn(r.data);if(this.parent[r.type])o=this.parent[r.type](r.sourceMapId,s,i);else if(this.parent.getWorkerSource){var l=r.type.split(\".\");o=this.parent.getWorkerSource(r.sourceMapId,l[0],s.source)[l[1]](s,i)}else i(new Error(\"Could not find function \"+r.type));!a&&o&&o.cancel&&(this.cancelCallbacks[e]=o.cancel)}}},wl.prototype.remove=function(){this.target.removeEventListener(\"message\",this.receive,!1)};var Tl=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]))};Tl.prototype.setNorthEast=function(t){return this._ne=t instanceof Ml?new Ml(t.lng,t.lat):Ml.convert(t),this},Tl.prototype.setSouthWest=function(t){return this._sw=t instanceof Ml?new Ml(t.lng,t.lat):Ml.convert(t),this},Tl.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Ml)e=t,r=t;else{if(!(t instanceof Tl))return Array.isArray(t)?t.every(Array.isArray)?this.extend(Tl.convert(t)):this.extend(Ml.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Ml(e.lng,e.lat),this._ne=new Ml(r.lng,r.lat)),this},Tl.prototype.getCenter=function(){return new Ml((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Tl.prototype.getSouthWest=function(){return this._sw},Tl.prototype.getNorthEast=function(){return this._ne},Tl.prototype.getNorthWest=function(){return new Ml(this.getWest(),this.getNorth())},Tl.prototype.getSouthEast=function(){return new Ml(this.getEast(),this.getSouth())},Tl.prototype.getWest=function(){return this._sw.lng},Tl.prototype.getSouth=function(){return this._sw.lat},Tl.prototype.getEast=function(){return this._ne.lng},Tl.prototype.getNorth=function(){return this._ne.lat},Tl.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Tl.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Tl.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Tl.convert=function(t){return!t||t instanceof Tl?t:new Tl(t)};var Ml=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\")};Ml.prototype.wrap=function(){return new Ml(u(this.lng,-180,180),this.lat)},Ml.prototype.toArray=function(){return[this.lng,this.lat]},Ml.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ml.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 Tl(new Ml(this.lng-r,this.lat-e),new Ml(this.lng+r,this.lat+e))},Ml.convert=function(t){if(t instanceof Ml)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ml(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ml(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 Al=2*Math.PI*6378137;function Sl(t){return Al*Math.cos(t*Math.PI/180)}function El(t){return(180+t)/360}function Ll(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Cl(t,e){return t/Sl(e)}function Pl(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Ol=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Ol.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ml.convert(t);return new Ol(El(r.lng),Ll(r.lat),Cl(e,r.lat))},Ol.prototype.toLngLat=function(){return new Ml(360*this.x-180,Pl(this.y))},Ol.prototype.toAltitude=function(){return this.z*Sl(Pl(this.y))},Ol.prototype.meterInMercatorCoordinateUnits=function(){return 1/Al*(t=Pl(this.y),1/Math.cos(t*Math.PI/180));var t};var zl=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Rl(0,t,e,r)};zl.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},zl.prototype.url=function(t,e){var r,n,a,i,o,s=(r=this.x,n=this.y,a=this.z,i=kl(256*r,256*(n=Math.pow(2,a)-n-1),a),o=kl(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(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)},zl.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*ti,(t.y*e-this.y)*ti)};var Il=function(t,e){this.wrap=t,this.canonical=e,this.key=Rl(t,e.z,e.x,e.y)},Dl=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new zl(r,+n,+a),this.key=Rl(e,t,n,a)};function Rl(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var a=1<<e;return 32*(a*a*t+a*n+r)+e}Dl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Dl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Dl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Dl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Dl.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},Dl.prototype.children=function(t){if(this.overscaledZ>=t)return[new Dl(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 Dl(e,this.wrap,e,r,n),new Dl(e,this.wrap,e,r+1,n),new Dl(e,this.wrap,e,r,n+1),new Dl(e,this.wrap,e,r+1,n+1)]},Dl.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))},Dl.prototype.wrapped=function(){return new Dl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Dl.prototype.unwrapTo=function(t){return new Dl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Dl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Dl.prototype.toUnwrapped=function(){return new Il(this.wrap,this.canonical)},Dl.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Dl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Ol(t.x-this.wrap,t.y))},pn(\"CanonicalTileID\",zl),pn(\"OverscaledTileID\",Dl,{omit:[\"posMatrix\"]});var Fl=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var a=e.data,i=\"terrarium\"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,i(a[l],a[l+1],a[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Fl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Fl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Fl.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)},Fl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Fl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Fl.prototype.getPixels=function(){return new Pi({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Fl.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.set(u,c,t.get(u+s,c+l))},pn(\"DEMData\",Fl);var Bl=Zn([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),Nl=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}};Nl.prototype.encode=function(t){return this._stringToNumber[t]},Nl.prototype.decode=function(t){return this._numberToString[t]};var jl=function(t,e,r,n){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Vl={geometry:{configurable:!0}};Vl.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},Vl.geometry.set=function(t){this._geometry=t},jl.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(jl.prototype,Vl);var Ul=function(){this.state={},this.stateChanges={},this.deletedStates={}};Ul.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]||{},h(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=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]},Ul.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&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)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}},Ul.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},a=this.stateChanges[t]||{},i=h({},n[r],a[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 i[s]}return i},Ul.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Ul.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),h(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var ql=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new ln(ti,16,0),this.grid3D=new ln(ti,16,0),this.featureIndexArray=r||new La};function Hl(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Gl(t,e){return e-t}ql.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<ti&&u[1]<ti&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},ql.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new zo.VectorTile(new $s(this.rawTileData)).layers,this.sourceLayerCoder=new Nl(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},ql.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var i=t.params||{},o=ti/t.tileSize/t.scale,s=Dr(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Hl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Hl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.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 c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(di(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(gi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(Gl);for(var v,m={},y=function(a){var c=h[a];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,e,function(e,a){f||(f=ri(e));var i={};return e.id&&(i=r.getState(a.sourceLayer||\"_geojsonTileLayer\",e.id)),a.queryIntersectsFeature(l,e,i,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},ql.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s){var l=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(a(new Cn(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(i&&i.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new jl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},ql.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i){var o={};this.loadVTLayers();for(var s=Dr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,a,i)}return o},ql.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},pn(\"FeatureIndex\",ql,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Yl=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.expiredRequestCount=0,this.state=\"loading\"};function Wl(t,e,r,n,a){if(void 0===e.segment)return!0;for(var i=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(i),i=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>a)return!1;o++,s+=h.dist(f)}return!0}function Xl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Zl(t,e,r){return t?.6*e*r:0}function Jl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Kl(t,e,r,n,a,i){for(var o=Zl(r,a,i),s=Jl(r,n)*i,l=0,c=Xl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=ye(h.x,f.x,d),v=ye(h.y,f.y,d),m=new xs(g,v,f.angleTo(h),u);return m._round(),!o||Wl(t,m,s,o,e)?m:void 0}l+=p}}function Ql(t,e,r,n,a,i,o,s,l){var c=Zl(n,i,o),u=Jl(n,a),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,a,i,o,s,l,c){for(var u=o/2,h=Xl(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=ye(v.x,m.x,b),w=ye(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new xs(_,w,x,g);k._round(),a&&!Wl(e,k,o,a,i)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,a,i,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*i)*o*s%e,e,c,r,h,f,!1,l)}Yl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<I.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Yl.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Yl.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=i[a],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}}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof Ps){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}for(var i in this.queryPadding=0,this.buckets){var o=this.buckets[i];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(i).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new xa},Yl.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\"},Yl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state=\"unloaded\"},Yl.prototype.getBucket=function(t){return this.buckets[t.id]},Yl.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 Js(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Js(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Yl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Yl.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:a,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:i,queryPadding:this.queryPadding*s},t,e):{}},Yl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:\"\",a=r._geojsonTileLayer||r[n];if(a)for(var i=Dr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<a.length;h++){var f=a.feature(h);if(i(new Cn(this.tileID.overscaledZ),f)){var p=new jl(f,s,l,c);p.tile=u,t.push(p)}}}},Yl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Yl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new Qn,n=new pa;this.segments=new Pa,this.segments.prepareSegment(0,r,n);for(var i=Object.keys(t),s=0;s<i.length;s++){var l=t[+i[s]],c=ti>>l.z,u=new a(l.x*c,l.y*c),h=new a(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Bl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Yl.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Yl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Yl.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Yl.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)},Yl.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){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];o&&s&&0!==Object.keys(s).length&&(a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(a))))}}},Yl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Yl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<I.now()},Yl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Yl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=I.now()+t};var $l=function(t,e,r,n,i,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,i,o,h))}else{if(f){var x=new a(g,p),b=new a(v,p),_=new a(g,d),w=new a(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,i,o,0,0)}this.boxEndIndex=t.length};$l.prototype._addLineCollisionCircles=function(t,e,r,n,a,i,o,s,l,c){var u=i/2,h=Math.floor(a/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-i/2,g=r,v=n+1,m=d,y=-a/2,x=y-a/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>a&&(k+=w-a),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,M=e[v],A=e[v+1].sub(M)._unit()._mult(T)._add(M)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(A.x,A.y,-i/2,-i/2,i/2,i/2,o,s,l,i/2,S)}}};var tc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=ec),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function ec(t,e){return t<e?-1:t>e?1:0}function rc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<i)&&(i=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,g=new tc([],nc);if(0===p)return new a(n,i);for(var v=n;v<o;v+=p)for(var m=i;m<s;m+=p)g.push(new ac(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,a=t[0],i=0,o=a.length,s=o-1;i<o;s=i++){var l=a[i],c=a[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new ac(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new ac(b.p.x-d,b.p.y-d,d,t)),g.push(new ac(b.p.x+d,b.p.y-d,d,t)),g.push(new ac(b.p.x-d,b.p.y+d,d,t)),g.push(new ac(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: 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_=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===a?p:d)>=r&&y<=n&&vt(c,p,d,g),_=c.length-3,i&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&vt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function dt(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function gt(t,e,r,n,a,i){for(var o=0;o<t.length;o++)pt(t[o],e,r,n,a,i,!1)}function vt(t,e,r,n){t.push(e),t.push(r),t.push(n)}function mt(t,e,r,n,a,i){var o=(i-e)/(n-e);return t.push(i),t.push(r+(a-r)*o),t.push(1),o}function yt(t,e,r,n,a,i){var o=(i-r)/(a-r);return t.push(e+(n-e)*o),t.push(i),t.push(1),o}function xt(t,e){for(var r=[],n=0;n<t.length;n++){var a,i=t[n],o=i.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)a=bt(i.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){a=[];for(var s=0;s<i.geometry.length;s++)a.push(bt(i.geometry[s],e))}else if(\"MultiPolygon\"===o)for(a=[],s=0;s<i.geometry.length;s++){for(var l=[],c=0;c<i.geometry[s].length;c++)l.push(bt(i.geometry[s][c],e));a.push(l)}r.push(nt(i.id,o,a,i.tags))}return r}function bt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function _t(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(wt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(wt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function kt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Tt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)Mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)Mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)Mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function Mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function At(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)it(r,t.features[n],e,n);else\"Feature\"===t.type?it(r,t,e):it(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,a=ht(t,1,-1-r,r,0,-1,2,e),i=ht(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=xt(a,1).concat(n)),i&&(n=n.concat(xt(i,-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 St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(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 a=new k(n.features),i=E(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}Y.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=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(X(t[l],l));this.trees[a+1]=new H(s,tt,et,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new H(s,tt,et,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},Y.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(K(r),Q(i),K(a),Q(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=c[l],h=a.points[u];h.parentId===t&&s.push(h.numPoints?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.extent,s=i.radius/o,l=(r-s)/a,c=(r+1+s)/a,u={features:[]};return this._addTileFeatures(n.range((e-s)/a,l,(e+1+s)/a,c),n.points,e,r,a,u),0===e&&this._addTileFeatures(n.range(1-s/a,l,1,c),n.points,a,r,a,u),e===a-1&&this._addTileFeatures(n.range(0,l,s/a,c),n.points,-1,r,a,u),u.features.length?u:null},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},Y.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),i.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.radius,i=n.extent,o=n.reduce,s=a/(i*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o&&f>1?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?$({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?$({},n):n},At.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},At.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=kt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},At.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[St(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?_t(this.tiles[s],a):null):null};var Lt=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new l.Performance(n.request);this.loadGeoJSON(n,function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){switch(e&&e.type||null){case\"FeatureCollection\":return e.features=e.features.map(y(t,r)),e;case\"GeometryCollection\":return e.geometries=e.geometries.map(y(t,r)),e;case\"Feature\":return e.geometry=t(e.geometry,r),e;case\"Polygon\":case\"MultiPolygon\":return function(t,e){return\"Polygon\"===t.type?t.coordinates=x(t.coordinates,e):\"MultiPolygon\"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=g.value,i[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):new At(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,a=t.uid;return n&&n[a]?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){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Ct=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Lt},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.isLoaded())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return Ct.prototype.setReferrer=function(t,e){this.referrer=e},Ct.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Ct.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Ct.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Ct.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Ct.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Ct.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Ct.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Ct.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Ct.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Ct.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Ct.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error(\"RTL Text Plugin failed to import scripts from \"+r)))}catch(t){n(t.toString())}},Ct.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Ct.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var a={send:function(e,r,a){n.actor.send(e,r,a,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](a,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Ct.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Ct.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Ct(t.window)),Ct}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!(\"undefined\"!=typeof window&&\"undefined\"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON&&function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&\"Uint8ClampedArray\"in window&&ArrayBuffer.isView&&function(t){return void 0===r[t]&&(r[t]=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"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 u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout(function(){t.window.removeEventListener(\"click\",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),a=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(a.clientX-n.left-e.clientLeft,a.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),a=[],i=\"touchend\"===r.type?r.changedTouches:r.touches,o=0;o<i.length;o++)a.push(new t.Point(i[o].clientX-n.left-e.clientLeft,i[o].clientY-n.top-e.clientTop));return a},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 f=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],a=n.ids,i=n.callback;this._notify(a,i)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this.images[t]=e},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,a=t;n<a.length;n+=1){var i=a[n];this.images[i]||(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={},a=0,i=e;a<i.length;a+=1){var o=i[a];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,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=v,d=v,g=1e20;function v(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"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 m(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}v.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 a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(m(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),m(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var i=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(i/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,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1){var l=s[o];a.push({stack:i,id:l})}t.asyncAll(a,function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})})}}else e(null,{stack:r,id:a,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},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.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},k.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];for(var s=this.width/i,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,T},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.RGBA,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.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var T=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=a[i],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+i,this.actors.push(s)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(o.tiles=r.canonicalizeTileset(o,e.url)),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame(function(){return a(null,e)})}T.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},T.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},T.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},T.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,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\"])),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(i)}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 A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),a={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};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),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 A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),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.url,this.tileSize);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 i=t.browser.getImageData(a),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:i,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",o,function(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}.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),a=(r.x-1+n)%n,i=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,i,r.z,a,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,i,r.z,a,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,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,a,i){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=a.getActor(),this.setEventedParent(i),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);var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.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,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var i={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};e.request=this.actor.send(a,i,function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),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=function(e){function r(t,r,n,a){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(a),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(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,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,a=-1/0,i=-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),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=a-r,u=i-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+a)/2*p),Math.floor((n+i)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[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,t.rasterBoundsAttributes.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.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),O=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),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,a=r.urls;n<a.length;n+=1){var i=a[n];this.urls.push(this.map._requestManager.transformRequest(i,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(\"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,t.rasterBoundsAttributes.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(P),z=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),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 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t,e,r){this.context=t,this.width=e,this.height=r;var n=t.gl,a=this.framebuffer=n.createFramebuffer();this.colorAttachment=new wt(t,a),this.depthAttachment=new kt(t,a)};Tt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r),t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new vt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&t.getExtension(\"OES_texture_half_float_linear\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new U(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Lt.prototype.createFramebuffer=function(t,e){return new Tt(this,t,e)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))}),this.on(\"error\",function(){i._sourceErrored=!0}),this._source=D(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,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 Object.keys(this._tiles).map(Number).sort(Pt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(+a,e)&&n.push(+a);return e?n.sort(function(e,n){var a=r._tiles[e].tileID,i=r._tiles[n].tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x}):n.sort(Pt)},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,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{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 a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.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){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var a=String(n.key),i=this._tiles[a];if(i&&i.hasData())return i;if(this._cache.has(n))return this._cache.get(n)}},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 a in this._tiles){var i=this._tiles[a];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+r),n[i.tileID.key]=i}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 a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=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)}):(a=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&&(a=a.filter(function(t){return n._source.hasTile(t)}))):a=[];var i=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,i,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}}},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={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},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 a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),c=s.map(function(t){return o.pointCoordinate(t)}),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(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}(t.Evented);function Pt(t,e){return t%32-e%32||e-t}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Qn.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var It=function(){this.active={}};It.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<It.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},It.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var Dt,Rt=Math.floor(t.browser.hardwareConcurrency/2);function Ft(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Bt(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]=Ft(t[n],e[t[n].ref]));return t}It.workerCount=Math.max(Math.min(Rt,6),1);var Nt={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 jt(t,e,r){r.push({command:Nt.addSource,args:[t,e[t]]})}function Vt(t,e,r){e.push({command:Nt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){Vt(t,r,n),jt(t,e,r)}function qt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Ht(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Gt(t){return t.id}function Yt(t,e){return t[e.id]=e,t}var Wt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.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 Xt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Zt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function Jt(e,r){var n=[e.x,e.y,0,1];oe(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function Kt(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 Qt(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Kt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Jt(k,i).point,M={},A=ee(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g);v=A.useVertical,(A.notEnoughRoom||v||A.needsFlipping&&ee(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,a,i,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=ne(t*g,r,n,a,i,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=ne(t*v,r,n,a,i,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function te(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ee(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Jt(w.first.point,s).point,T=Jt(w.last.point,s).point;if(a&&!n){var M=te(e.writingMode,k,T,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(ne(v*l.getoffsetX(A),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(a&&!n){var S=Jt(f,i).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=Jt(L,i),P=C.signedDistanceFromCamera>0?C.point:re(f,L,S,1,i),O=te(e.writingMode,S,P,d);if(O)return O}var z=ne(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function re(t,e,r,n,a){var i=Jt(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function ne(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=a?e-r:e+r,g=d>0?1:-1,v=0;a&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=i,b=i,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),M=Jt(T,h);if(M.signedDistanceFromCamera>0)x=f[m]=M.point;else{var A=m-g;x=re(0===_?o:new t.Point(u.getx(A),u.gety(A)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),L=E.mult(S)._add(b);return L._add(E._unit()._perp()._mult(n*g)),{point:L,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Wt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Wt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Wt.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)},Wt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Wt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Wt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}var f={hitTest:a,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,i),a?o.length>0:o},Wt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(i,s,o,l,this._queryCellCircle,c,u,a),n?c.length>0:c},Wt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Wt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Wt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Wt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];i.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Wt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var v=this.circleCells[a];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Wt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(a.call(this,t,e,r,n,d,i,o,s))return}},Wt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Wt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Wt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Wt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ae=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ae,3*n)}}function oe(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var se=function(t,e,r){void 0===e&&(e=new Wt(t.width+200,t.height+200,25)),void 0===r&&(r=new Wt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function le(t,e,r){t[e+4]=r?1:0}function ce(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}se.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},se.prototype.approximateTileDistance=function(t,e,r,n,a){var i=a?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(i-1)*o*Math.abs(Math.sin(e))},se.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,i.anchorX,i.anchorY),v=l/24,m=i.lineOffsetX*l,y=i.lineOffsetY*l,x=new t.Point(i.anchorX,i.anchorY),b=$t(v,s,m,y,!1,Jt(x,u).point,x,i,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*a,M=1/(a*n),A=0,S=0;b&&(A=this.approximateTileDistance(b.first.tileDistance,b.first.angle,M,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,M,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var L=e[E],C=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-A||O>S)le(e,E,!1);else{var z=this.projectPoint(c,L,C),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-A&&F<S){le(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),le(e,E,!0);var N=z.x-I,j=z.y-I,V=z.x+I,U=z.y+I;if(k=k&&this.isOffscreen(N,j,V,U),w=w||this.isInsideGrid(N,j,V,U),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},se.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},se.prototype.insertCollisionBox=function(t,e,r,n,a){var i={bucketInstanceId:r,featureIndex:n,collisionGroupID:a};(e?this.ignoredGrid:this.grid).insert(i,t[0],t[1],t[2],t[3])},se.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},se.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return oe(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},se.prototype.projectPoint=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100)},se.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},se.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},se.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ue=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};ue.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var he=function(t,e,r,n,a){this.text=new ue(t?t.text:null,e,r,a),this.icon=new ue(t?t.icon:null,e,n,a)};he.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var fe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},pe=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},de=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function ge(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}de.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 ve=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new se(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new de(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function me(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}ve.prototype.placeLayerTile=function(e,r,n,a){var i=r.getBucket(e),o=r.latestFeatureIndex;if(i&&o&&e.id===i.layerIds[0]){var s=r.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Xt(h,\"map\"===l.get(\"text-pitch-alignment\"),\"map\"===l.get(\"text-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom)),p=Xt(h,\"map\"===l.get(\"icon-pitch-alignment\"),\"map\"===l.get(\"icon-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom));this.retainedQueryData[i.bucketInstanceId]=new pe(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,r.tileID),this.placeLayerBucket(i,h,f,p,c,u,n,r.holdingForFade(),a,s)}},ve.prototype.attemptAnchorPlacement=function(e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=ge(e,n,a,i,o),y=this.collisionIndex.placeCollisionBox(function(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}(r,m.x,m.y,s,l,this.transform.angle),f,c,u,h.predicate);if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(v=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:i,width:n,height:a,anchor:e,textBoxScale:o,prevAnchor:v},this.markUsedJustification(d,e,p,g),d.allowVerticalPlacement&&(this.markUsedOrientation(d,g,p),this.placedOrientations[p.crossTileID]=g),y},ve.prototype.placeLayerBucket=function(e,r,n,a,i,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get(\"text-optional\"),g=f.get(\"icon-optional\"),v=f.get(\"text-allow-overlap\"),m=f.get(\"icon-allow-overlap\"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_=\"map\"===f.get(\"text-rotation-alignment\"),w=\"map\"===f.get(\"text-pitch-alignment\"),k=\"viewport-y\"===f.get(\"symbol-z-order\");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(a,u){if(!c[a.crossTileID])if(l)h.placements[a.crossTileID]=new fe(!1,!1,!1);else{var m,k=!1,T=!1,M=!0,A={box:null,offscreen:null},S={box:null,offscreen:null},E=null,L=null,C=0,P=0,O=0;u.textFeatureIndex&&(C=u.textFeatureIndex),u.verticalTextFeatureIndex&&(P=u.verticalTextFeatureIndex);var z=u.textBox;if(z){var I=function(r){var n=t.WritingMode.horizontal;if(e.allowVerticalPlacement&&!r&&h.prevPlacement){var i=h.prevPlacement.placedOrientations[a.crossTileID];i&&(h.placedOrientations[a.crossTileID]=i,n=i,h.markUsedOrientation(e,n,a))}return n},D=function(r,n){if(e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&u.verticalTextBox)for(var i=0,o=e.writingModes;i<o.length&&(o[i]===t.WritingMode.vertical?(A=n(),S=A):A=r(),!(A&&A.box&&A.box.length));i+=1);else A=r()};if(f.get(\"text-variable-anchor\")){var R=f.get(\"text-variable-anchor\");if(h.prevPlacement&&h.prevPlacement.variableOffsets[a.crossTileID]){var F=h.prevPlacement.variableOffsets[a.crossTileID];R.indexOf(F.anchor)>0&&(R=R.filter(function(t){return t!==F.anchor})).unshift(F.anchor)}var B=function(t,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,l=a.textBoxScale,c={box:[],offscreen:!1},u=v?2*R.length:R.length,f=0;f<u;++f){var p=R[f%R.length],d=f>=R.length;if((c=h.attemptAnchorPlacement(p,t,i,s,a.radialTextOffset,l,_,w,o,r,b,d,a,e,n))&&c.box&&c.box.length){k=!0;break}}return c};D(function(){return B(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox,n=A&&A.box&&A.box.length;return e.allowVerticalPlacement&&!n&&a.numVerticalGlyphVertices>0&&r?B(r,t.WritingMode.vertical):{box:null,offscreen:null}}),A&&(k=A.box,M=A.offscreen);var N=I(A&&A.box);if(!k&&h.prevPlacement){var j=h.prevPlacement.variableOffsets[a.crossTileID];j&&(h.variableOffsets[a.crossTileID]=j,h.markUsedJustification(e,j.anchor,a,N))}}else{var V=function(t,n){var i=h.collisionIndex.placeCollisionBox(t,f.get(\"text-allow-overlap\"),o,r,b.predicate);return i&&i.box&&i.box.length&&(h.markUsedOrientation(e,n,a),h.placedOrientations[a.crossTileID]=n),i};D(function(){return V(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox;return e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&r?V(r,t.WritingMode.vertical):{box:null,offscreen:null}}),I(A&&A.box&&A.box.length)}}k=(m=A)&&m.box&&m.box.length>0,M=m&&m.offscreen;var U=u.textCircles;if(U){var q=e.text.placedSymbolArray.get(a.centerJustifiedTextSymbolIndex),H=t.evaluateSizeForFeature(e.textSizeData,p,q);E=h.collisionIndex.placeCollisionCircles(U,f.get(\"text-allow-overlap\"),i,o,q,e.lineVertexArray,e.glyphOffsetArray,H,r,n,s,w,b.predicate),k=f.get(\"text-allow-overlap\")||E.circles.length>0,M=M&&E.offscreen}u.iconFeatureIndex&&(O=u.iconFeatureIndex),u.iconBox&&(T=(L=h.collisionIndex.placeCollisionBox(u.iconBox,f.get(\"icon-allow-overlap\"),o,r,b.predicate)).box.length>0,M=M&&L.offscreen);var G=d||0===a.numHorizontalGlyphVertices&&0===a.numVerticalGlyphVertices,Y=g||0===a.numIconVertices;G||Y?Y?G||(T=T&&k):k=T&&k:T=k=T&&k,k&&m&&m.box&&(S&&S.box&&P?h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,P,b.ID):h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID)),T&&L&&h.collisionIndex.insertCollisionBox(L.box,f.get(\"icon-ignore-placement\"),e.bucketInstanceId,O,b.ID),k&&E&&h.collisionIndex.insertCollisionCircles(E.circles,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID),h.placements[a.crossTileID]=new fe(k||y,T||x,M||e.justReloaded),c[a.crossTileID]=!0}};if(k)for(var M=e.getSortedSymbolIndexes(this.transform.angle),A=M.length-1;A>=0;--A){var S=M[A];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ve.prototype.markUsedJustification=function(e,r,n,a){var i,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=i>=0&&c!==i?0:n.crossTileID)}},ve.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=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=a}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},ve.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new he(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new he(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new he(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[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)},ve.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},ve.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var a=e.layers[0].layout,i=new he(null,0,!1,!1,!0),o=a.get(\"text-allow-overlap\"),s=a.get(\"icon-allow-overlap\"),l=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),u=\"map\"===a.get(\"text-pitch-alignment\"),h=new he(null,0,o&&(s||!e.hasIconData()||a.get(\"icon-optional\")),s&&(o||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=i:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Me(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0,M=this.placedOrientations[p.crossTileID],A=M===t.WritingMode.horizontal||M===t.WritingMode.horizontalOnly?1:0,S=M===t.WritingMode.vertical?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T||S)}),p.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(p.verticalPlacedTextSymbolIndex).hidden=T||A);var E=this.variableOffsets[p.crossTileID];E&&this.markUsedJustification(e,E.anchor,p,M);var L=this.placedOrientations[p.crossTileID];L&&(this.markUsedJustification(e,\"left\",p,L),this.markUsedOrientation(e,L,p))}if(b){for(var C=Me(y.icon),P=0;P<p.numIconVertices/4;P++)e.icon.opacityVertexArray.emplaceBack(C);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var O=e.collisionArrays[f];if(O){if(O.textBox){var z=new t.Point(0,0),I=!0;if(l){var D=this.variableOffsets[v];D?(z=ge(D.anchor,D.width,D.height,D.radialOffset,D.textBoxScale),c&&z._rotate(u?this.transform.angle:-this.transform.angle)):I=!1}me(e.collisionBox.collisionVertexArray,y.text.placed,!I,z.x,z.y)}O.iconBox&&me(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var R=O.textCircles;if(R&&e.hasCollisionCircleData())for(var F=0;F<R.length;F+=5){var B=m||0===R[F+4];me(e.collisionCircle.collisionVertexArray,y.text.placed,B)}}}}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.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ve.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ve.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ve.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ve.prototype.setStale=function(){this.stale=!0};var ye=Math.pow(2,25),xe=Math.pow(2,24),be=Math.pow(2,17),_e=Math.pow(2,16),we=Math.pow(2,9),ke=Math.pow(2,8),Te=Math.pow(2,1);function Me(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*ye+e*xe+r*be+e*_e+r*we+e*ke+r*Te+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,a){for(;this._currentTileIndex<t.length;){var i=t[this._currentTileIndex];if(e.placeLayerTile(n,i,r,this._seenCrossTileIDs),this._currentTileIndex++,a())return!0}};var Se=function(t,e,r,n,a,i,o){this.placement=new ve(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Se.prototype.isDone=function(){return this._done},Se.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._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 Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Se.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Ee=512/t.EXTENT/2,Le=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};Le.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,a=Ee/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*a),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*a)}},Le.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),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Pe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Pe.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],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Pe.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 a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Le(t,e.symbolInstances,e.bucketInstanceId),!0},Pe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1){var i=a[n];delete this.usedCrossTileIDs[t][i.crossTileID]}},Pe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Oe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Oe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Pe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Oe.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 ze=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return\"source.canvas\"!==t.identifier}))},Ie=t.pick(Nt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),De=t.pick(Nt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Re=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new T((Dt||(Dt=new It),Dt),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Oe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast(\"loadRTLTextPlugin\",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on(\"data\",function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}})}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 a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)})},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._load=function(e,r){var n=this;if(!r||!ze(this,t.validateStyle(e))){for(var a in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(a,e.sources[a],{validate:!1});e.sprite?this._spriteRequest=function(e,r,n){var a,i,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,a=e,u())}),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),function(t,e){c=null,o||(o=t,i=e,u())});function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var a in r)n.imageManager.addImage(a,r[a]);n.imageManager.setLoaded(!0),n.fire(new t.Event(\"data\",{dataType:\"style\"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Bt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={};for(var o=0,s=i;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.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 a=n[r],i=this._layers[a];\"custom\"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._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={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),ze(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Bt(e.layers);var n=function(e,r){if(!e)return[{command:Nt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Nt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Nt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Nt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Nt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Nt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Nt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Nt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Nt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Nt.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||Vt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&qt(e,r,i)?n.push({command:Nt.setGeoJSONSourceData,args:[i,r[i].data]}):Ut(i,r,n,a)):jt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach(function(t){a[t.source]?n.push({command:Nt.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Gt),f=r.map(Gt),p=e.reduce(Yt,{}),d=r.reduce(Yt,{}),g=h.slice(),v=Object.create(null);for(a=0,i=0;a<h.length;a++)o=h[a],d.hasOwnProperty(o)?i++:(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)o=f[f.length-1-a],g[g.length-1-a]!==o&&(p.hasOwnProperty(o)?(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,c=g[g.length-a],n.push({command:Nt.addLayer,args:[d[o],c]}),g.splice(g.length-a,0,o),v[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!v[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Ht(s.layout,l.layout,n,o,null,Nt.setLayoutProperty),Ht(s.paint,l.paint,n,o,null,Nt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Nt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Nt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Nt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Nt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Nt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in De)});if(0===n.length)return!1;var a=n.filter(function(t){return!(t.command in Ie)});if(a.length>0)throw new Error(\"Unimplemented: \"+a.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.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this.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 a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}}),i.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 a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(ze(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}})}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,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.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 a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,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._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.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):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 a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),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,a=e.sourceLayer,i=this.sourceCaches[n],o=parseInt(e.id,10);if(void 0!==i){var s=i.getSource().type;\"geojson\"===s&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==s||a?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\"))):i.setFeatureState(a,o,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,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0,s=parseInt(e.id,10);\"vector\"!==i||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be non-negative.\"))):r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,s,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,a=this.sourceCaches[r],i=parseInt(e.id,10);if(void 0!==a)if(\"vector\"!==a.getSource().type||n){if(!(isNaN(i)||i<0))return a.getFeatureState(n,i);this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\")))}else 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]&&(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={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];a.push(f)}}}}a.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var v=a.length-1;v>=0;v--){var m=a[v].feature;if(n[m.layer.id]<d)break;p.push(m),a.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var k=w[_];p.push(k.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 a={};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 i=0,o=r.layers;i<o.length;i+=1){var s=o[i],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.\"))),[];a[l.source]=!0}}var c=[];for(var u in this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i){for(var o={},s=a.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(i[h])}l.sort(B);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var a in r){var i=o[a]=o[a]||[],l=r[a];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-a}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];i.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var a=n.feature,i=t[r],o=e[i.source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=o})};for(var v in o)g(v);return o}(this._layers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[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(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){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,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&ze(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},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(\"pluginAvailable\",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();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,a){for(var i=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if(\"symbol\"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);i=i||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Se(e,this._order,d,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),i&&this.pauseablePlacement.placement.setStale()),o||i)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,s[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r)},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);Re.getSourceType=function(t){return I[t]},Re.setSourceType=function(t,e){I[t]=e},Re.registerForPluginAvailability=t.registerForPluginAvailability;var Fe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Be=cr(\"#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;}\"),Ne=cr(\"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=cr(\"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);}\"),Ve=cr(\"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);}\"),Ue=cr(\"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);}\"),qe=cr(\"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;}\"),He=cr(\"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;}\"),Ge=cr(\"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;}\"),Ye=cr(\"uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;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);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}\"),We=cr(\"uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=cr(\"#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);}\"),Ze=cr(\"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;}\"),Je=cr(\"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 vec4 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\\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;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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;}\"),Ke=cr(\"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 vec4 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\\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;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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);}\"),Qe=cr(\"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;}\"),$e=cr(\"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\\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\\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 vec4 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\\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\\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 pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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;}\"),tr=cr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),er=cr(\"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;}\"),rr=cr(\"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);}\"),nr=cr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ar=cr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_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 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 pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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 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,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));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;\\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 vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_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 mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_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);}\"),ir=cr(\"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);}\"),or=cr(\"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;}\"),sr=cr(\"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 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;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[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} 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),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));}\"),lr=cr(\"#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 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;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[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} 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),0.0,1.0);float gamma_scale=gl_Position.w;vec2 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;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\");function cr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}),vertexSource:e=e.replace(r,function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})}}var ur=Object.freeze({prelude:Be,background:Ne,backgroundPattern:je,circle:Ve,clippingMask:Ue,heatmap:qe,heatmapTexture:He,collisionBox:Ge,collisionCircle:Ye,debug:We,fill:Xe,fillOutline:Ze,fillOutlinePattern:Je,fillPattern:Ke,fillExtrusion:Qe,fillExtrusionPattern:$e,hillshadePrepare:tr,hillshade:er,line:rr,lineGradient:nr,linePattern:ar,lineSDF:ir,raster:or,symbolIcon:sr,symbolSDF:lr}),hr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};hr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==a||this.boundVertexOffset!==i||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,a,i,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind())},hr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},hr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var fr=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r.defines();a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Be.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Be.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var v=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=i.getActiveUniform(this.program,m);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function pr(e,r,n){var a=1/ce(n,1,r.transform.tileZoom),i=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/i,s=o*(n.tileID.canonical.x+n.tileID.wrap*i),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,a,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}fr.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new hr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var dr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},gr=function(e,r,n,a,i,o,s){return t.extend(dr(e,r,n,a),pr(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},vr=function(t){return{u_matrix:t}},mr=function(e,r,n,a){return t.extend(vr(e),pr(n,r,a))},yr=function(t,e){return{u_matrix:t,u_world:e}},xr=function(e,r,n,a,i){return t.extend(mr(e,r,n,a),{u_world:i})},br=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=ce(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},_r=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)}},wr=function(t,e,r){var n=ce(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=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*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},kr=function(t,e){return{u_matrix:t,u_color:e}},Tr=function(t){return{u_matrix:t}},Mr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ce(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),i=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Er(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:a,u_accent:i}},Sr=function(e,r){var n=e.dem.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[n,n],u_zoom:e.tileID.overscaledZ,u_maxzoom:r}};function Er(e,r){var n=Math.pow(2,r.canonical.z),a=r.canonical.y;return[new t.MercatorCoordinate(0,a/n).toLngLat().lat,new t.MercatorCoordinate(0,(a+1)/n).toLngLat().lat]}var Lr=function(e,r,n){var a=e.transform;return{u_matrix:Ir(e,r,n),u_ratio:1/ce(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Lr(e,r,n),{u_image:0})},Pr=function(e,r,n,a){var i=e.transform,o=zr(r,i);return{u_matrix:Ir(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ce(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Or=function(e,r,n,a,i){var o=e.transform,s=e.lineAtlas,l=zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(a.from,c),h=s.getDash(a.to,c),f=u.width*i.fromScale,p=h.width*i.toScale;return t.extend(Lr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:i.t})};function zr(t,e){return 1/ce(t,1,e.tileZoom)}function Ir(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Dr=function(t,e,r,n,a){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*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:function(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]}(a.paint.get(\"raster-hue-rotate\"))};var i,o};var Rr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Fr=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(Rr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Br=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Nr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from),i=r.imageManager.getPattern(t.to),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ce(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(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.Uniform4f(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.Uniform4f(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:_r,collisionCircle:_r,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform4f(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.Uniform1f(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.Uniform1f(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.Uniform1f(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 Vr(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),a=0;a<n.length;a++){var i={},o=n[a],s=n.slice(a+1);Ur(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),i),o.setMask(i,r)}}function Ur(e,r,n,a,i){for(var o=0;o<n.length;o++){var s=n[o];if(a.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)Ur(e,l[c],n.slice(o),a,i);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));i[h.key]=i[h.key]||h}function qr(t,e,r,n,a){for(var i=t.context,o=i.gl,s=a?t.useProgram(\"collisionCircle\"):t.useProgram(\"collisionBox\"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=a?h.collisionCircle:h.collisionBox;f&&s.draw(i,a?o.TRIANGLES:o.LINES,Mt.disabled,At.disabled,t.colorModeForRenderPass(),Et.disabled,wr(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var Hr=t.identity(new Float32Array(16));function Gr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Yr(e,r,n,a,i,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=e.allowVerticalPlacement&&!d.placedOrientation,v=d.hidden||!d.crossTileID||g?null:a[d.crossTileID];if(v){var m=new t.Point(d.anchorX,d.anchorY),y=Jt(m,n?l:s),x=.5+o.cameraToCenterDistance/y.signedDistanceFromCamera*.5,b=i.evaluateSizeForFeature(e.textSizeData,u,d)*x/t.ONE_EM;n&&(b*=e.tilePixelRatio/c);for(var _=v.width,w=v.height,k=v.radialOffset,T=v.textBoxScale,M=Gr(v.anchor,_,w,k,T,b),A=n?Jt(m.add(M),s).point:y.point.add(r?M.rotate(-o.angle):M),S=e.allowVerticalPlacement&&d.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,E=0;E<d.numGlyphs;E++)t.addDynamicAttributes(f,A,S)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Wr(e){var r=e.text.placedSymbolArray,n=e.text.dynamicLayoutVertexArray;n.clear();for(var a=0;a<r.length;a++){var i=r.get(a);if(i.hidden||!i.placedOrientation)ie(i.numGlyphs,n);else for(var o=new t.Point(i.anchorX,i.anchorY),s=e.allowVerticalPlacement&&i.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,l=0;l<i.numGlyphs;l++)t.addDynamicAttributes(n,o,s)}e.text.dynamicLayoutVertexBuffer.updateData(n)}function Xr(e,r,n,a,i,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x=\"map\"===l,b=\"map\"===c,_=x&&\"point\"!==n.layout.get(\"symbol-placement\"),w=x&&!b&&!_,k=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),T=e.depthModeForSublayer(0,Mt.ReadOnly),M=n.layout.get(\"text-variable-anchor\"),A=[],S=0,E=a;S<E.length;S+=1){var L=E[S],C=r.getTile(L),P=C.getBucket(n);if(P){var O=i?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=i||P.sdfIcons,D=i?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?\"symbolSDF\":\"symbolIcon\",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(i)F=C.glyphAtlasTexture,B=m.LINEAR,R=C.glyphAtlasTexture.size;else{var N=1!==n.layout.get(\"icon-size\").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=C.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=C.imageAtlasTexture.size}var V=ce(C,1,e.transform.zoom),U=Xt(L.posMatrix,b,x,e.transform,V),q=Zt(L.posMatrix,b,x,e.transform,V);if(_)Qt(P,L.posMatrix,e,i,U,q,b,u);else if(i&&g&&M){var H=Math.pow(2,y.zoom-C.tileID.overscaledZ);Yr(P,x,b,p,t.symbolSize,y,U,L.posMatrix,H,g)}else i&&g&&P.allowVerticalPlacement&&Wr(P);var G=e.translatePosMatrix(L.posMatrix,C,o,s),Y=_||i&&M?Hr:U,W=e.translatePosMatrix(q,C,o,s,!0),X=I&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Fr(D.kind,g,w,b,e,G,Y,W,i,R,!0):Rr(D.kind,g,w,b,e,G,Y,W,i,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var Q=K[J];A.push({segments:new t.SegmentVector([Q]),sortKey:Q.sortKey,state:Z})}else A.push({segments:O.segments,sortKey:0,state:Z})}}}k&&A.sort(function(t,e){return t.sortKey-e.sortKey});for(var $=0,tt=A;$<tt.length;$+=1){var et=tt[$],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Zr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Zr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Zr(t,e,r,n,a,i,o,s,l){var c=n.context,u=c.gl;a.draw(c,u.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function Jr(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],M=x.imageAtlas.patternPositions[k.from];T&&M&&_.setConstantPatternPositions(T,M)}var A=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?xr(A,t,g,x,S):yr(A,S)}else u=b.indexBuffer,h=b.segments,c=d?mr(A,t,g,x):vr(A);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Kr(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),T=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?gr(k,t,T,f,g,h,v):dr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,M,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function Qr(t,e,r,n,a,i){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function $r(e,r,n,a,i,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,Sr(r,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function tn(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}function en(e,r,n){var 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c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var v=a[g],m=r.getTile(v),y=m.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:br(e,v,m,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var k=w[_];d.push({segments:new t.SegmentVector([k]),sortKey:k.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var T=0,M=d;T<M.length;T+=1){var A=M[T],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,z=A.segments;L.draw(c,u.TRIANGLES,h,f,p,Et.disabled,O,n.id,C,P,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=e.depthModeForSublayer(0,Mt.ReadOnly),l=At.disabled,c=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),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),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4),function t(e,r,n,a){var i=e.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,r.width/4,r.height/4,0,i.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),a.colorAttachment.set(n),e.extTextureHalfFloat&&i.checkFramebufferStatus(i.FRAMEBUFFER)!==i.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,a.colorAttachment.setDirty(),t(e,r,n,a))}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var u=0;u<a.length;u++){var h=a[u];if(!r.hasRenderableParent(h)){var f=r.getTile(h),p=f.getBucket(n);if(p){var d=p.programConfigurations.get(n.id),g=e.useProgram(\"heatmap\",d),v=e.transform.zoom;g.draw(i,o.TRIANGLES,s,l,c,Et.disabled,Mr(h.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,n.paint,e.transform.zoom,d)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:a,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=c?\"lineSDF\":h?\"linePattern\":f?\"lineGradient\":\"line\",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,T),S=m||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas.patternPositions[E.to],C=w.imageAtlas.patternPositions[E.from];L&&C&&T.setConstantPatternPositions(L,C)}var P=c?Or(e,w,n,c,p):h?Pr(e,w,n,p):f?Cr(e,w,n):Lr(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),A.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);Jr(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);Jr(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))Kr(t,e,r,n,i,At.disabled,St.disabled),Kr(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Kr(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?$r(t,f,r,i,o,s,l):\"translucent\"===t.renderPass&&Qr(t,f,r,o,s,l)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\"))for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var y=e.findLoadedParent(d,0),x=tn(v,y,e,r,t.transform),b=void 0,_=void 0,w=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),y?(y.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var k=Dr(m,_||[0,0],b||1,x,r);o instanceof P?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Nr(b,a,t,c,{tileID:x,tileSize:l},v):Br(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)en(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},an=function(e,r){this.context=new Lt(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Oe};function on(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function sn(t,e,r,n,a){var i=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=i;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;a(Math.floor(d),Math.ceil(p),f)}}function ln(t,e,r,n,a,i){var o,s=on(t,e),l=on(e,r),c=on(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&sn(c,s,n,a,i),l.dy&&sn(c,l,n,a,i)}an.prototype.resize=function(e,r){var n=this.context.gl;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 a=0,i=this.style._order;a<i.length;a+=1){var o=i[a];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},an.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,Fe.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,Fe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,t.rasterBoundsAttributes.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,Fe.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);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},an.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Tr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},an.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Tr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},an.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},an.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},an.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},an.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])},an.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},an.prototype.render=function(e,r){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 n=this.style._order,a=this.style.sourceCaches;for(var i in a){var o=a[i];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in a){var h=a[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in a){var p=a[f],d=p.getSource();if(\"raster\"===d.type||\"raster-dem\"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}Vr(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass=\"offscreen\",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var M=l[T.source];(\"custom\"===T.type||M.length)&&this.renderLayer(this,a[T.source],T,M)}}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=n.length-1;this.currentLayer>=0;this.currentLayer--){var A=this.style._layers[n[this.currentLayer]],S=a[A.source],E=s[A.source];this._renderTileClippingMasks(A,E),this.renderLayer(this,S,A,E)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var L=this.style._layers[n[this.currentLayer]],C=a[L.source],P=(\"symbol\"===L.type?c:l)[L.source];this._renderTileClippingMasks(L,s[L.source]),this.renderLayer(this,C,L,P)}if(this.options.showTileBoundaries)for(var O in a){nn.debug(this,a[O],s[O]);break}this.context.setDefault()},an.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},an.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,nn[r.type](t,e,r,n,this.style.placement.variableOffsets))},an.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:ce(r,n[0],this.transform.zoom),i?n[1]:ce(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},an.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},an.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},an.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},an.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=\"\"+t+(e.cacheKey||\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new fr(this.context,ur[t],e,jr[t],this._showOverdrawInspector)),this.cache[r]},an.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()},an.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)};var cn=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,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._posMatrixCache={},this._alignedPosMatrixCache={}},un={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};cn.prototype.clone=function(){var t=new cn(this._minZoom,this._maxZoom,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._calcMatrices(),t},un.minZoom.get=function(){return this._minZoom},un.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},un.maxZoom.get=function(){return this._maxZoom},un.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},un.renderWorldCopies.get=function(){return this._renderWorldCopies},un.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},un.worldSize.get=function(){return this.tileSize*this.scale},un.centerPoint.get=function(){return this.size._div(2)},un.size.get=function(){return new t.Point(this.width,this.height)},un.bearing.get=function(){return-this.angle/Math.PI*180},un.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))},un.pitch.get=function(){return this._pitch/Math.PI*180},un.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},un.fov.get=function(){return this._fov/Math.PI*180},un.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())},un.zoom.get=function(){return this._zoom},un.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())},un.center.get=function(){return this._center},un.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},cn.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=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,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=new t.Point(i*a.x-.5,i*a.y-.5);return function(e,r,n,a){void 0===a&&(a=!0);var i=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=i)for(c=r;c<s;c++)u=Math.floor(c/i),h=(c%i+i)%i,0!==u&&!0!==a||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(i)});return ln(l[0],l[1],l[2],0,i,s),ln(l[2],l[3],l[0],0,i,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},un.unmodified.get=function(){return this._unmodified},cn.prototype.zoomScale=function(t){return Math.pow(2,t)},cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},un.point.get=function(){return this.project(this.center)},cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},cn.prototype.coordinateLocation=function(t){return t.toLngLat()},cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[0]/a,s=n[0]/i,l=r[1]/a,c=n[1]/i,u=r[2]/a,h=n[2]/i,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,v=c.y/2;g-v<i&&(a=i+v),g+v>o&&(a=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},cn.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),a=this.point,i=a.x,o=a.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=this.height/50,c=new Float64Array(16);t.perspective(c,this._fov,this.width/this.height,l,s),t.scale(c,c,[1,-1,1]),t.translate(c,c,[0,0,-this.cameraToCenterDistance]),t.rotateX(c,c,this._pitch),t.rotateZ(c,c,this.angle),t.translate(c,c,[-i,-o,0]),this.mercatorMatrix=t.scale([],c,[this.worldSize,this.worldSize,this.worldSize]),t.scale(c,c,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=c;var u=this.width%2/2,h=this.height%2/2,f=Math.cos(this.angle),p=Math.sin(this.angle),d=i-Math.round(i)+f*u+p*h,g=o-Math.round(o)+f*h+p*u,v=new Float64Array(c);if(t.translate(v,v,[d>.5?d-1:d,g>.5?g-1:g,0]),this.alignedProjMatrix=v,c=t.create(),t.scale(c,c,[this.width/2,-this.height/2,1]),t.translate(c,c,[1,-1,0]),this.labelPlaneMatrix=c,c=t.create(),t.scale(c,c,[1,-1,1]),t.translate(c,c,[-1,-1,0]),t.scale(c,c,[2/this.width,2/this.height,1]),this.glCoordMatrix=c,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(c=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=c,this._posMatrixCache={},this._alignedPosMatrixCache={}}},cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(cn.prototype,un);var hn=function(){var e,r,n,a;t.bindAll([\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,a=function(){n=null,r&&(e(),n=setTimeout(a,300),r=!1)},function(){return r=!0,n||a(),n})};hn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},hn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},hn.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,n),i=Math.round(e.lng*a)/a,o=Math.round(e.lat*a)/a,s=this._map.getBearing(),l=this._map.getPitch(),c=\"\";return c+=t?\"#/\"+i+\"/\"+o+\"/\"+r:\"#\"+r+\"/\"+o+\"/\"+i,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=\"/\"+Math.round(l)),c},hn.prototype._onHashChange=function(){var e=t.window.location.hash.replace(\"#\",\"\").split(\"/\");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},hn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var fn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),pn=function(e){function n(n,a,i){var o=r.touchPos(a.getCanvasContainer(),i),s=o.map(function(t){return a.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=a.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),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(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};gn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gn.prototype.isEnabled=function(){return!!this._enabled},gn.prototype.isActive=function(){return!!this._active},gn.prototype.isZooming=function(){return!!this._zooming},gn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gn.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*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.isActive()||this._start(e)),e.preventDefault()}},gn.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this.isActive()||this._start(t)},gn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._map.fire(new t.Event(\"zoomstart\",{originalEvent:e}))),this._finishTimeout&&clearTimeout(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=this._map._requestRenderFrame(this._onScrollFrame))}},gn.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if(\"wheel\"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event(\"zoom\",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event(\"zoomend\",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event(\"moveend\",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},gn.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+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};var vn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onKeyDown\"],this)};vn.prototype.isEnabled=function(){return!!this._enabled},vn.prototype.isActive=function(){return!!this._active},vn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},vn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},vn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.addEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.addEventListener(\"mouseup\",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},vn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,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(n.x,e.x),i=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+o+\"px)\"),this._box.style.width=i-a+\"px\",this._box.style.height=s-o+\"px\"}},vn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,a=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===a.x&&n.y===a.y?this._fireEvent(\"boxzoomcancel\",e):this._map.fitScreenCoordinates(n,a,this._map.getBearing(),{linear:!0}).fire(new t.Event(\"boxzoomend\",{originalEvent:e}))}},vn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},vn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.removeEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},vn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var mn=t.bezier(0,0,.25,1),yn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state=\"disabled\",this._button=r.button||\"right\",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll([\"onMouseDown\",\"_onMouseMove\",\"_onMouseUp\",\"_onBlur\",\"_onDragFrame\"],this)};yn.prototype.isEnabled=function(){return\"disabled\"!==this._state},yn.prototype.isActive=function(){return\"active\"===this._state},yn.prototype.enable=function(){this.isEnabled()||(this._state=\"enabled\")},yn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\"),this._pitchWithRotate&&this._fireEvent(\"pitchend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},yn.prototype.onMouseDown=function(e){if(\"enabled\"===this._state){var n=\"touchstart\"===e.type;if(n)this._startTime=Date.now();else if(\"right\"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),n?(t.window.document.addEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"touchend\",this._onMouseUp)):(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"mouseup\",this._onMouseUp)),t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},yn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t),this._pitchWithRotate&&this._fireEvent(\"pitchstart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},yn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._prevPos,a=this._lastPos,i=.8*(n.x-a.x),o=-.5*(n.y-a.y),s=r.bearing-i,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent(\"pitch\",e),r.pitch=l),this._fireEvent(\"rotate\",e),this._fireEvent(\"move\",e),delete this._lastMoveEvent,this._prevPos=this._lastPos}},yn.prototype._onMouseUp=function(t){if(\"touchend\"===t.type&&this._startPos===this._lastPos&&Date.now()-this._startTime<300&&this._el.click(),r.mouseButton(t)===this._eventButton)switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},yn.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\",t),this._pitchWithRotate&&this._fireEvent(\"pitchend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},yn.prototype._unbind=function(){t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp),t.window.document.removeEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"touchend\",this._onMouseUp),t.window.removeEventListener(\"blur\",this._onBlur),r.enableDrag()},yn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._lastPos},yn.prototype._inertialRotate=function(t){var e=this;this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),a=this._inertia,i=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent(\"moveend\",t),e._pitchWithRotate&&e._fireEvent(\"pitchend\",t)};if(a.length<2)i();else{var o=a[0],s=a[a.length-1],l=a[a.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:mn,noMoveStart:!0},{originalEvent:t})}else i()}},yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var xn=t.bezier(0,0,.3,1),bn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state=\"disabled\",this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMove\",\"_onMouseUp\",\"_onTouchEnd\",\"_onBlur\",\"_onDragFrame\"],this)};bn.prototype.isEnabled=function(){return\"disabled\"!==this._state},bn.prototype.isActive=function(){return\"active\"===this._state},bn.prototype.enable=function(){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-drag-pan\"),this._state=\"enabled\")},bn.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove(\"mapboxgl-touch-drag-pan\"),this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},bn.prototype.onMouseDown=function(e){\"enabled\"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.addEventListener(t.window.document,\"mouseup\",this._onMouseUp),this._start(e)))},bn.prototype.onTouchStart=function(e){\"enabled\"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onTouchEnd),this._start(e)))},bn.prototype._start=function(e){t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._startPos=this._mouseDownPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},bn.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||\"pending\"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"dragstart\",e),this._fireEvent(\"movestart\",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},bn.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._prevPos),this._lastPos),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._prevPos=this._lastPos,delete this._lastMoveEvent}},bn.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},bn.prototype._onTouchEnd=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},bn.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},bn.prototype._unbind=function(){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onTouchEnd),r.removeEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,\"mouseup\",this._onMouseUp),r.removeEventListener(t.window,\"blur\",this._onBlur)},bn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._mouseDownPos,delete this._lastPos},bn.prototype._inertialPan=function(t){this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent(\"moveend\",t);else{var r=e[e.length-1],n=e[0],a=r[1].sub(n[1]),i=(r[0]-n[0])/1e3;if(0===i||r[1].equals(n[1]))this._fireEvent(\"moveend\",t);else{var o=a.mult(.3/i),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:xn,noMoveStart:!0},{originalEvent:t})}}},bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var _n=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onKeyDown\"],this)};function wn(t){return t*(2-t)}_n.prototype.isEnabled=function(){return!!this._enabled},_n.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},_n.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},_n.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,a=0,i=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),i=-1);break;case 40:t.shiftKey?n=-1:(i=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:wn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-a,100*-i],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var kn=function(e){this._map=e,t.bindAll([\"_onDblClick\",\"_onZoomEnd\"],this)};kn.prototype.isEnabled=function(){return!!this._enabled},kn.prototype.isActive=function(){return!!this._active},kn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},kn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},kn.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var a=function(){e._tapped&&e._zoom(t),e._map.off(\"touchcancel\",i),e._resetTapped()},i=function(){e._map.off(\"touchend\",a),e._resetTapped()};this._map.once(\"touchend\",a),this._map.once(\"touchcancel\",i)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},kn.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},kn.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},kn.prototype._zoom=function(t){this._active=!0,this._map.on(\"zoomend\",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},kn.prototype._onZoomEnd=function(){this._active=!1,this._map.off(\"zoomend\",this._onZoomEnd)};var Tn=t.bezier(0,0,.15,1),Mn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onMove\",\"_onEnd\",\"_onTouchFrame\"],this)};Mn.prototype.isEnabled=function(){return!!this._enabled},Mn.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)},Mn.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!1)},Mn.prototype.disableRotation=function(){this._rotationDisabled=!0},Mn.prototype.enableRotation=function(){this._rotationDisabled=!1},Mn.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),a=r.mousePos(this._el,e.touches[1]),i=n.add(a).div(2);this._startVec=n.sub(a),this._startAround=this._map.transform.pointLocation(i),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onEnd)}},Mn.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),a=e.sub(n);return{vec:a,center:e.add(n).div(2),scale:a.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI}},Mn.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,a=r.scale,i=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==a||Math.abs(1-a)>.15;Math.abs(i)>10?this._gestureIntent=\"rotate\":o&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+\"start\",{originalEvent:e})),this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},Mn.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),a=n.center,i=n.bearing,o=n.scale,s=r.pointLocation(a),l=r.locationPoint(s);\"rotate\"===e&&(r.bearing=this._startBearing+i),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,a])}},Mn.prototype._onEnd=function(e){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onEnd);var n=this._gestureIntent,a=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+\"end\",{originalEvent:e})),this._drainInertiaBuffer();var i=this._inertia,o=this._map;if(i.length<2)o.snapToNorth({},{originalEvent:e});else{var s=i[i.length-1],l=i[0],c=o.transform.scaleZoom(a*s[1]),u=o.transform.scaleZoom(a*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:Tn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},Mn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var An={scrollZoom:gn,boxZoom:vn,dragRotate:yn,dragPan:bn,keyboard:_n,doubleClickZoom:kn,touchZoomRotate:Mn},Sn=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.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){if(\"number\"==typeof(a=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var i=a.padding;a.padding={top:i,bottom:i,right:i,left:i}}if(t.deepEqual(Object.keys(a.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),[\"bottom\",\"left\",\"right\",\"top\"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-a.padding.left-a.padding.right)/p.x,g=(o.height-a.padding.top-a.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),a.maxZoom),m=t.Point.convert(a.offset),y=(a.padding.left-a.padding.right)/2,x=(a.padding.top-a.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")}else t.warnOnce(\"options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(r=t.extend(e,r)).linear?this.easeTo(r,n):this.flyTo(r,n):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&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=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?+e.zoom:i,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,u=\"pitch\"in e?+e.pitch:s,h=a.centerPoint.add(t.Point.convert(e.offset)),f=a.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=a.project(f),m=a.project(p).sub(v),y=a.zoomScale(l-i);return e.around&&(d=t.LngLat.convert(e.around),g=a.locationPoint(d)),this._zooming=l!==i,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(a.zoom=t.number(i,l,e)),n._rotating&&(a.bearing=t.number(o,c,e)),n._pitching&&(a.pitch=t.number(s,u,e)),d)a.setLocationAtPoint(d,g);else{var f=a.zoomScale(a.zoom-i),p=l>i?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=a.unproject(v.add(m.mult(e*x)).mult(f));a.setLocationAtPoint(a.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event(\"movestart\",e)),this._zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._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){var r=this._zooming,n=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event(\"zoomend\",e)),n&&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(t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,u=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,f=i.zoomScale(c-o),p=i.centerPoint.add(t.Point.convert(e.offset)),d=i.pointLocation(p),g=t.LngLat.convert(e.center||d);this._normalizeCenter(g);var v=i.project(d),m=i.project(g).sub(v),y=e.curve,x=Math.max(i.width,i.height),b=x/f,_=m.mag();if(\"minZoom\"in e){var w=t.clamp(Math.min(e.minZoom,o,c),i.minZoom,i.maxZoom),k=x/i.zoomScale(w-o);y=Math.sqrt(k/_*2)}var T=y*y;function M(t){var e=(b*b-x*x+(t?-1:1)*T*T*_*_)/(2*(t?b:x)*T*_);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function S(t){return(Math.exp(t)+Math.exp(-t))/2}var E=M(0),L=function(t){return S(E)/S(E+y*t)},C=function(t){return x*((S(E)*(A(e=E+y*t)/S(e))-A(E))/T)/_;var e},P=(M(1)-E)/y;if(Math.abs(_)<1e-6||!isFinite(P)){if(Math.abs(x-b)<1e-6)return this.easeTo(e,r);var O=b<x?-1:1;P=Math.abs(Math.log(b/x))/y,C=function(){return 0},L=function(t){return Math.exp(O*y*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var z=\"screenSpeed\"in e?+e.screenSpeed/y:+e.speed;e.duration=1e3*P/z}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._prepareEase(r,!1),this._ease(function(e){var a=e*P,f=1/L(a);i.zoom=1===e?c:o+i.scaleZoom(f),n._rotating&&(i.bearing=t.number(s,u,e)),n._pitching&&(i.pitch=t.number(l,h,e));var d=1===e?g:i.unproject(v.add(m.mult(C(a))).mult(f));i.setLocationAtPoint(i.renderWorldCopies?d.wrap():d,p),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}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),En=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};En.prototype.getDefaultPosition=function(){return\"bottom-right\"},En.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},En.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},En.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\"}},En.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},En.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 a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.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)}},En.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Ln=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Ln.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\",\"Mapbox logo\"),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},Ln.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Ln.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ln.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Ln.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}},Ln.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 Cn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Cn.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Cn.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 a=n[r];if(a.id===t)return void(a.cancelled=!0)}},Cn.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Cn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pn=t.window.HTMLImageElement,On=t.window.HTMLElement,zn={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,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},In=function(n){function a(e){var a=this;if(null!=(e=t.extend({},zn,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than minZoom\");var i=new cn(e.minZoom,e.maxZoom,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 Cn,this._controls=[],this._mapId=t.uniqueId(),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 On))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return a._update(!1)}),this.on(\"moveend\",function(){return a._update(!1)}),this.on(\"zoom\",function(){return a._update(!0)}),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),a=null,i=!1,o=null;for(var s in An)t[s]=new An[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,\"mouseout\",function(e){t.fire(new fn(\"mouseout\",t,e))}),r.addEventListener(n,\"mousedown\",function(a){i=!0,o=r.mousePos(n,a);var s=new fn(\"mousedown\",t,a);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(a),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(a),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(a))}),r.addEventListener(n,\"mouseup\",function(e){var r=t.dragRotate.isActive();a&&!r&&t.fire(new fn(\"contextmenu\",t,a)),a=null,i=!1,t.fire(new fn(\"mouseup\",t,e))}),r.addEventListener(n,\"mousemove\",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new fn(\"mousemove\",t,e))}}),r.addEventListener(n,\"mouseover\",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new fn(\"mouseover\",t,e))}),r.addEventListener(n,\"touchstart\",function(r){var n=new pn(\"touchstart\",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,\"touchmove\",function(e){t.fire(new pn(\"touchmove\",t,e))},{passive:!1}),r.addEventListener(n,\"touchend\",function(e){t.fire(new pn(\"touchend\",t,e))}),r.addEventListener(n,\"touchcancel\",function(e){t.fire(new pn(\"touchcancel\",t,e))}),r.addEventListener(n,\"click\",function(a){var i=r.mousePos(n,a);(!o||i.equals(o)||i.dist(o)<e.clickTolerance)&&t.fire(new fn(\"click\",t,a))}),r.addEventListener(n,\"dblclick\",function(e){var r=new fn(\"dblclick\",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,\"contextmenu\",function(e){var r=t.dragRotate.isActive();i||r?i&&(a=e):t.fire(new fn(\"contextmenu\",t,e)),(t.dragRotate.isEnabled()||t.listens(\"contextmenu\"))&&e.preventDefault()}),r.addEventListener(n,\"wheel\",function(r){e.interactive&&t.stop();var n=new dn(\"wheel\",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new hn).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 En({customAttribution:e.customAttribution})),this.addControl(new Ln,e.logoPosition),this.on(\"style.load\",function(){a.transform.unmodified&&a.jumpTo(a.style.stylesheet)}),this.on(\"data\",function(e){a._update(\"style\"===e.dataType),a.fire(new t.Event(e.dataType+\"data\",e))}),this.on(\"dataloading\",function(e){a.fire(new t.Event(e.dataType+\"dataloading\",e))})}n&&(a.__proto__=n),a.prototype=Object.create(n&&n.prototype),a.prototype.constructor=a;var i={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.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},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];return this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e)).fire(new t.Event(\"resize\",e)).fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&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 0 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.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\")},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},a.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},a.prototype.on=function(t,e,r){var a=this;if(void 0===r)return n.prototype.on.call(this,t,e);var i=function(){var n;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new fn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new fn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new fn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(o,i.delegates[o]);return this},a.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var a=this._delegatedListeners[t],i=0;i<a.length;i++){var o=a[i];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return a.splice(i,1),this}}return this},a.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 a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.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))},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Re(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)},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)})}else\"object\"==typeof e&&this._updateDiff(e,r)},a.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)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0)},a.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+\"'\")))},a.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 a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;if(void 0===i&&(i=!1),r instanceof Pn){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:a,sdf:i,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`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:a,sdf:i,version:0,userImage:p}),p.onAdd&&p.onAdd(this,e)}},a.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 a=r instanceof Pn?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;if(void 0===i||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(i!==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 Pn);n.data.replace(s,l),this.style.updateImage(e,n)},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.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/.\")},a.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.style.position=\"absolute\",this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)})},a.prototype._resizeCanvas=function(e,r){var n=t.window.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.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 an(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var a=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),i=a.crossFadingFactor();1===i&&i===this._crossFadingFactor||(e=!0,this._crossFadingFactor=i),this.style.update(a)}return 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}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),this},a.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.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Dn(this._canvasContainer),Dn(this._controlContainer),Dn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(Sn);function Dn(t){t.parentNode&&t.parentNode.removeChild(t)}var Rn={showCompass:!0,showZoom:!0,visualizePitch:!1},Fn=function(e){var n=this;this.options=t.extend({},Rn,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([\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in\",\"Zoom in\",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out\",\"Zoom out\",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-compass\",\"Reset bearing to north\",function(){n.options.visualizePitch?n._map.resetNorthPitch():n._map.resetNorth()}),this._compassArrow=r.create(\"span\",\"mapboxgl-ctrl-compass-arrow\",this._compass))};function Bn(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}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}Fn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();t===this._map.getMaxZoom()?this._zoomInButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomInButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\"),t===this._map.getMinZoom()?this._zoomOutButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomOutButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\")},Fn.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._compassArrow.style.transform=t},Fn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new yn(t,{button:\"left\",element:this._compass}),r.addEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.addEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.enable()),this._container},Fn.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),r.removeEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.removeEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.disable(),delete this._handler),delete this._map},Fn.prototype._createButton=function(t,e,n){var a=r.create(\"button\",t,this._container);return a.type=\"button\",a.title=e,a.setAttribute(\"aria-label\",e),a.addEventListener(\"click\",n),a};var Nn={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 jn(t,e,r){var n=t.classList;for(var a in Nn)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Vn,Un=function(e){function n(n,a){if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",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\");var i=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");i.setAttributeNS(null,\"display\",\"block\"),i.setAttributeNS(null,\"height\",\"41px\"),i.setAttributeNS(null,\"width\",\"27px\"),i.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 c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}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 g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.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\"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),i.appendChild(s),this._element.appendChild(i),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(t){t.preventDefault()}),jn(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),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat)}return this},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){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Bn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Nn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px)\"))},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n}(t.Evented),qn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Hn=function(e){function n(r){e.call(this),this.options=t.extend({},qn,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Vn?n(Vn):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then(function(t){Vn=\"denied\"!==t.state,n(Vn)}):(Vn=!!t.window.navigator.geolocation,n(Vn)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){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,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){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\"),void 0!==this._geolocationWatchID&&this._clearWatch();else 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\")}\"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;!1!==e?(this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.setAttribute(\"aria-label\",\"Geolocate\"),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 Un(this._dotElement),this.options.trackUserLocation&&(this._watchState=\"OFF\")),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||(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\")))})):t.warnOnce(\"Geolocation support is not available, the GeolocateControl will not be visible.\")},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\":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\")}\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}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),Gn={maxWidth:100,unit:\"metric\"},Yn=function(e){this.options=t.extend({},Gn,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Wn(t,e,r){var n,a,i,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),a=t.unproject([c,u]),i=Math.PI/180,o=n.lat*i,s=a.lat*i,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((a.lng-n.lng)*i),6371e3*Math.acos(Math.min(l,1)));if(r&&\"imperial\"===r.unit){var f=3.2808*h;f>5280?Xn(e,c,f/5280,\"mi\"):Xn(e,c,f,\"ft\")}else r&&\"nautical\"===r.unit?Xn(e,c,h/1852,\"nm\"):Xn(e,c,h,\"m\")}function Xn(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=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;\"m\"===n&&s>=1e3&&(s/=1e3,n=\"km\"),t.style.width=e*l+\"px\",t.innerHTML=s+n}Yn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Yn.prototype._onMove=function(){Wn(this._map,this._container,this.options)},Yn.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},Yn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Yn.prototype.setUnit=function(t){this.options.unit=t,Wn(this._map,this._container,this.options)};var Zn=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\"),this._className=\"mapboxgl-ctrl\"};Zn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",this._className+\" mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Zn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Zn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Zn.prototype._setupUI=function(){(this._fullscreenButton=r.create(\"button\",this._className+\"-icon \"+this._className+\"-fullscreen\",this._controlContainer)).type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Zn.prototype._updateTitle=function(){var t=this._isFullscreen()?\"Exit fullscreen\":\"Enter fullscreen\";this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Zn.prototype._isFullscreen=function(){return this._fullscreen},Zn.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(this._className+\"-shrink\"),this._fullscreenButton.classList.toggle(this._className+\"-fullscreen\"),this._updateTitle())},Zn.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 Jn={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Kn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Jn),r),t.bindAll([\"_update\",\"_onClickClose\",\"remove\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",function(t){r._update(t.point)}),this._map.on(\"mouseup\",function(t){r._update(t.point)}),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(\"click\",this._onClickClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\"),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._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){var t=this;return this._trackPointer=!0,this._pos=null,this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",function(e){t._update(e.point)}),this._map.on(\"drag\",function(e){t._update(e.point)}),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(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return 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n=t(\"color-normalize\"),a=t(\"array-bounds\"),i=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),h=t(\"to-float32\"),f=h.float32,p=h.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},a=t(i({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(i({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach(function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))}),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach(function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth 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r}(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")}()}function a(t){return function(t){if(Array.isArray(t)){for(var e=0,r=new Array(t.length);e<t.length;e++)r[e]=t[e];return r}}(t)||function(t){if(Symbol.iterator in Object(t)||\"[object Arguments]\"===Object.prototype.toString.call(t))return Array.from(t)}(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance\")}()}var i=t(\"color-normalize\"),o=t(\"array-bounds\"),s=t(\"color-id\"),l=t(\"point-cluster\"),c=t(\"object-assign\"),u=t(\"glslify\"),h=t(\"pick-by-alias\"),f=t(\"update-diff\"),p=t(\"flatten-vertex-data\"),d=t(\"is-iexplorer\"),g=t(\"to-float32\"),v=t(\"parse-rect\"),m=y;function y(t,e){var r=this;if(!(this instanceof y))return new y(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=d,n=t.texture({data:new 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borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pixelRatio;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  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\"]),d&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}y.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},y.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},y.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=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 i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach(function(e,r){t.drawItem(r)});return this},y.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},y.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;this.regl;if(!i)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 h=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),g=0;g<r.length;g++){var v=r[g];d[v]=p?p[v]:1}l.subdata(d)}for(var m=f.length;m--;){var y=n(f[m],2),x=y[0],b=y[1];h.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return h},y.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 a=this.groups,i=this.gl,s=this.regl,u=this.maxSize,d=this.maxColors,m=this.palette;this.groups=a=r.map(function(e,r){var n=a[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 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t.x.length?e.xAttr={buffer:s.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:s.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=p(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?o(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=l(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=s.elements(f)}return a({data:g.float(t),usage:\"dynamic\"}),i({data:g.fract(t),usage:\"dynamic\"}),c({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach(function(t){return 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this.groups.forEach(function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(t){return t&&t.destroy&&t.destroy()}),this};var x=t(\"object-assign\");e.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return x(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}},{\"array-bounds\":68,\"color-id\":120,\"color-normalize\":122,\"flatten-vertex-data\":230,glslify:411,\"is-iexplorer\":421,\"object-assign\":456,\"parse-rect\":461,\"pick-by-alias\":467,\"point-cluster\":471,\"to-float32\":537,\"update-diff\":548}],500:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"pick-by-alias\"),i=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,a,i,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],a=s[3]):s.length?(n=s[0],a=s[1]):(s.x,n=s.y,s.x+s.width,a=s.y+s.height),l.length>2?(i=l[0],o=l[2],l[1],l[3]):l.length?(i=l[0],o=l[1]):(i=l.x,l.y,o=l.x+l.width,l.y+l.height),[i,n,o,a]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return 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f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var v=c(s,l,h);s/=v,l/=v,h/=v}var m,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,k=c(x-=s*w,b-=l*w,_-=h*w),T=l*(_/=k)-h*(b/=k),M=h*(x/=k)-s*_,A=s*b-l*x,S=c(T,M,A);if(T/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*T+L*M+C*A;m=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(O,P)}else{var z=e[2],I=e[6],D=e[10],R=z*s+I*l+D*h,F=z*x+I*b+D*_,B=z*T+I*M+D*A;m=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,m),this.recalcMatrix(t);var N=e[2],j=e[6],V=e[10],U=this.computedMatrix;a(U,e);var q=U[15],H=U[12]/q,G=U[13]/q,Y=U[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-V*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var a=(n=n||this.computedUp)[0],i=n[1],o=n[2],s=c(a,i,o);if(!(s<1e-6)){a/=s,i/=s,o/=s;var l=e[0]-r[0],h=e[1]-r[1],f=e[2]-r[2],p=c(l,h,f);if(!(p<1e-6)){l/=p,h/=p,f/=p;var d=this.computedRight,g=d[0],v=d[1],m=d[2],y=a*g+i*v+o*m,x=c(g-=y*a,v-=y*i,m-=y*o);if(!(x<.01&&(x=c(g=i*f-o*h,v=o*l-a*f,m=a*h-i*l))<1e-6)){g/=x,v/=x,m/=x,this.up.set(t,a,i,o),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=i*m-o*v,_=o*g-a*m,w=a*v-i*g,k=c(b,_,w),T=a*l+i*h+o*f,M=g*l+v*h+m*f,A=(b/=k)*l+(_/=k)*h+(w/=k)*f,S=Math.asin(u(T)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var O=Math.abs(C+2*Math.PI-E),z=Math.abs(C-E),I=Math.abs(C-2*Math.PI-E);O<z&&(C+=2*Math.PI),I<z&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":229,\"gl-mat4/invert\":268,\"gl-mat4/rotate\":273,\"gl-vec3/cross\":336,\"gl-vec3/dot\":341,\"gl-vec3/normalize\":358}],542:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var a=t*e,i=n*t,o=i-(i-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,h=s*u-(a-o*c-s*c-o*u);if(r)return r[0]=h,r[1]=a,r;return[h,a]};var n=+(Math.pow(2,27)+1)},{}],543:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,a=n-t,i=e-a,o=t-(n-a);if(r)return r[0]=o+i,r[1]=n,r;return[o+i,n]}},{}],544:[function(t,e,r){(function(e,n){\"use strict\";var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.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,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":570,\"object-assign\":456}],558:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.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=i},{\"../main\":570,\"object-assign\":456}],559:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.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,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.ethiopian=i},{\"../main\":570,\"object-assign\":456}],560:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)?30:8===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 a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+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=i},{\"../main\":570,\"object-assign\":456}],562:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.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 a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.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),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":570,\"object-assign\":456}],563:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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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.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 a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+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=i},{\"../main\":570,\"object-assign\":456}],565:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.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(),\"undefined\"==typeof 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),\"undefined\"==typeof 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 a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof 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],2000:[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:[16,31,32,31,32,31,30,30,30,29,29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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var 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 a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/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),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":570,\"object-assign\":456}],567:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.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 a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":570,\"object-assign\":456}],568:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.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 a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":570,\"object-assign\":456}],569:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){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 i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.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,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):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=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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n=z.select(\".annotation-text-math-group\"),u=!n.empty(),d=c.bBox((u?n:U).node()),m=d.width,y=d.height,w=e.width||m,O=e.height||y,D=Math.round(w+2*R),j=Math.round(O+2*R);function V(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 H=!1,G=[\"x\",\"y\"],Y=0;Y<G.length;Y++){var W,X,Z,J,K,Q=G[Y],$=e[Q+\"ref\"]||Q,tt=e[\"a\"+Q+\"ref\"],et={x:s,y:v}[Q],rt=(E+(\"x\"===Q?0:-90))*Math.PI/180,nt=D*Math.cos(rt),at=j*Math.sin(rt),it=Math.abs(nt)+Math.abs(at),ot=e[Q+\"anchor\"],st=e[Q+\"shift\"]*(\"x\"===Q?1:-1),lt=S[Q];if(et){var ct=et.r2fraction(e[Q]);(ct<0||ct>1)&&(tt===$?((ct=et.r2fraction(e[\"a\"+Q]))<0||ct>1)&&(H=!0):H=!0),W=et._offset+et.r2p(e[Q]),J=.5}else\"x\"===Q?(Z=e[Q],W=b.l+b.w*Z):(Z=1-e[Q],W=b.t+b.h*Z),J=e.showarrow?.5:Z;if(e.showarrow){lt.head=W;var ut=e[\"a\"+Q];K=nt*V(.5,e.xanchor)-at*V(.5,e.yanchor),tt===$?(lt.tail=et._offset+et.r2p(ut),X=K):(lt.tail=W+ut,X=K+ut),lt.text=lt.tail+K;var 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yt,xt=function(r,n){L.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,m=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,m,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),O=+F.attr(\"height\"),I=m-.5*P,D=I+P,R=y-.5*O,B=R+O,N=[[I,R,I,B],[I,B,D,B],[D,B,D,R],[D,R,I,R]].map(A);if(!N.reduce(function(t,e){return t^!!o.segmentsIntersect(u,h,u+1e6,h+1e6,e[0],e[1],e[2],e[3])},!1)){N.forEach(function(t){var e=o.segmentsIntersect(f,d,u,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,d=e.y)});var j=e.arrowwidth,V=e.arrowcolor,U=e.arrowside,q=L.append(\"g\").style({opacity:l.opacity(V)}).classed(\"annotation-arrow-g\",!0),H=q.append(\"path\").attr(\"d\",\"M\"+f+\",\"+d+\"L\"+u+\",\"+h).style(\"stroke-width\",j+\"px\").call(l.stroke,l.rgb(V));if(g(H,U,e),_.annotationPosition&&H.node().parentNode&&!i){var G=u,Y=h;if(e.standoff){var W=Math.sqrt(Math.pow(u-f,2)+Math.pow(h-d,2));G+=e.standoff*(f-u)/W,Y+=e.standoff*(d-h)/W}var X,Z,J=q.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-G)+\",\"+(d-Y),transform:\"translate(\"+G+\",\"+Y+\")\"}).style(\"stroke-width\",j+6+\"px\").call(l.stroke,\"rgba(0,0,0,0)\").call(l.fill,\"rgba(0,0,0,0)\");p.init({element:J.node(),gd:t,prepFn:function(){var t=c.getTranslate(z);X=t.x,Z=t.y,s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(X,Z),a=n[0]+t,i=n[1]+r;z.call(c.setTranslate,a,i),T(\"x\",s?s.p2r(s.r2p(e.x)+t):e.x+t/b.w),T(\"y\",v?v.p2r(v.r2p(e.y)+r):e.y-r/b.h),e.axref===e.xref&&T(\"ax\",s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&&T(\"ay\",v.p2r(v.r2p(e.ay)+r)),q.attr(\"transform\",\"translate(\"+t+\",\"+r+\")\"),C.attr({transform:\"rotate(\"+E+\",\"+a+\",\"+i+\")\"})},doneFn:function(){a.call(\"_guiRelayout\",t,M());var 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h=d.width;i=\"M\"+(r.x-h)+\",\"+r.yh+\"h\"+2*h+\"m-\"+h+\",0V\"+r.ys,r.noYS||(i+=\"m-\"+h+\",0h\"+2*h),!o.size()?o=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"yerror\",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr(\"d\",i)}else o.remove();var f=e.select(\"path.xerror\");if(p.visible&&a(r.y)&&a(r.xh)&&a(r.xs)){var v=(p.copy_ystyle?d:p).width;i=\"M\"+r.xh+\",\"+(r.y-v)+\"v\"+2*v+\"m0,-\"+v+\"H\"+r.xs,r.noXS||(i+=\"m0,-\"+v+\"v\"+2*v),!f.size()?f=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"xerror\",!0):u&&(f=f.transition().duration(s.duration).ease(s.easing)),f.attr(\"d\",i)}else f.remove()}})}})}},{\"../../traces/scatter/subtypes\":1144,\"../drawing\":613,d3:165,\"fast-isnumeric\":228}],621:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../color\");e.exports=function(t){t.each(function(t){var e=t[0].trace,r=e.error_y||{},i=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(a.stroke,r.color),i.copy_ystyle&&(i=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",i.thickness+\"px\").call(a.stroke,i.color)})}},{\"../color\":592,d3:165}],622:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),a=t(\"./layout_attributes\").hoverlabel,i=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:i({},a.bgcolor,{arrayOk:!0}),bordercolor:i({},a.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:i({},a.align,{arrayOk:!0}),namelength:i({},a.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":708,\"../../plots/font_attributes\":791,\"./layout_attributes\":631}],623:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\");function i(t,e,r,a){a=a||n.identity,Array.isArray(t)&&(e[0][r]=a(t))}e.exports=function(t){var 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0!==r&&a(t,e,r,!0),t._hoverdata&&e&&e.target&&(i&&i.then?i.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{\"../../registry\":846,\"./hover\":628}],625:[function(t,e,r){\"use strict\";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},{}],626:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"./hoverlabel_defaults\");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),i(t,e,function(r,i){return n.coerce(t,e,a,r,i)},s)}},{\"../../lib\":717,\"./attributes\":622,\"./hoverlabel_defaults\":629}],627:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(\"splom\"===t.type){for(var n=t.xaxes||[],a=t.yaxes||[],i=0;i<n.length;i++)for(var o=0;o<a.length;o++)if(-1!==e.indexOf(n[i]+a[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,a){return\"closest\"===t?a||r.quadrature(e,n):\"x\"===t?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var a=e(t[n]);a<=r.distance&&(r.index=n,r.distance=a)}return r},r.inbox=function(t,e,r){return t*e<0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),a=e(r);return Math.sqrt(n*n+a*a)}},r.makeEventData=function(t,e,n){var a=\"index\"in t?t.index:t.pointNumber,i={data:e._input,fullData:e,curveNumber:e.index,pointNumber:a};if(e._indexToPoints){var o=e._indexToPoints[a];1===o.length?i.pointIndex=o[0]:i.pointIndices=o}else i.pointIndex=a;return 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a=t.map(function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}}),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=M(a,s,e.gd),c=0,u=0;return l.sort(function(t,e){return t.y0-e.y0}).each(function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)}).each(function(t){t.offset-=u}),A(l,s.rotateLabels),r?l:l.node()};var T=/<extra>([\\s\\S]*)<\\/extra>/;function M(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},g=e.fontFamily||v.HOVERFONT,y=e.fontSize||v.HOVERFONTSIZE,x=t[0],b=x.xa,_=x.ya,M=\"y\"===i?\"yLabel\":\"xLabel\",A=x[M],S=(String(A)||\"\").split(\" \")[0],E=p.node().getBoundingClientRect(),L=E.top,P=E.width,O=E.height,z=void 0!==A&&x.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(z){var I,D,R=!0;for(I=0;I<t.length;I++)if(R&&void 0===t[I].zLabel&&(R=!1),D=t[I].hoverinfo||t[I].trace.hoverinfo){var F=Array.isArray(D)?D:D.split(\"+\");if(-1===F.indexOf(\"all\")&&-1===F.indexOf(i)){z=!1;break}}R&&(z=!1)}var B=f.selectAll(\"g.axistext\").data(z?[0]:[]);B.enter().append(\"g\").classed(\"axistext\",!0),B.exit().remove(),B.each(function(){var 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O=C.width/2+k;T<O?(T=O,s.attr(\"d\",\"M-\"+(O-w)+\",0L-\"+(O-2*w)+\",\"+P+w+\"H\"+(k+C.width/2)+\"v\"+P+(2*k+C.height)+\"H-\"+O+\"V\"+P+w+\"Z\")):T>a.width-O?(T=a.width-O,s.attr(\"d\",\"M\"+(O-w)+\",0L\"+O+\",\"+P+w+\"v\"+P+(2*k+C.height)+\"H-\"+O+\"V\"+P+w+\"H\"+(O-2*w)+\"Z\")):s.attr(\"d\",\"M0,0L\"+w+\",\"+P+w+\"H\"+(k+C.width/2)+\"v\"+P+(2*k+C.height)+\"H-\"+(k+C.width/2)+\"V\"+P+w+\"H-\"+w+\"Z\")}else{var z,I,D;\"right\"===_.side?(z=\"start\",I=1,D=\"\",T=b._offset+b._length):(z=\"end\",I=-1,D=\"-\",T=b._offset),E=_._offset+(x.y0+x.y1)/2,c.attr(\"text-anchor\",z),s.attr(\"d\",\"M0,0L\"+D+w+\",\"+w+\"V\"+(k+C.height/2)+\"h\"+D+(2*k+C.width)+\"V-\"+(k+C.height/2)+\"H\"+D+w+\"V-\"+w+\"Z\");var R,F=C.height/2,B=L-C.top-F,N=\"clip\"+a._uid+\"commonlabel\"+_._id;if(T<C.width+2*k+w){R=\"M-\"+(w+k)+\"-\"+F+\"h-\"+(C.width-k)+\"V\"+F+\"h\"+(C.width-k)+\"Z\";var j=C.width-T+k;l.positionText(c,j,B),\"end\"===z&&c.selectAll(\"tspan\").each(function(){var t=n.select(this),e=u.tester.append(\"text\").text(t.text()).call(u.font,m),r=e.node().getBoundingClientRect();Math.round(r.width)<Math.round(C.width)&&t.attr(\"x\",j-r.width),e.remove()})}else l.positionText(c,I*(k+w),B),R=null;var V=a._topclips.selectAll(\"#\"+N).data(R?[0]:[]);V.enter().append(\"clipPath\").attr(\"id\",N).append(\"path\"),V.exit().remove(),V.select(\"path\").attr(\"d\",R),u.setClipUrl(c,R?N:null,r)}e.attr(\"transform\",\"translate(\"+T+\",\"+E+\")\"),t=t.filter(function(t){return void 0!==t.zLabelVal||(t[M]||\"\").split(\" \")[0]===S})});var N=f.selectAll(\"g.hovertext\").data(t,function(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||\"\"].join(\",\")});return N.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,g,y)}),N.exit().remove(),N.each(function(t){var e=n.select(this).attr(\"transform\",\"\"),f=\"\",p=\"\",d=t.bgcolor||t.color,v=h.combine(h.opacity(d)?d:h.defaultLine,c),x=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),b=t.borderColor||h.contrast(v);void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),f=C(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(p+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(p+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(p+=(p?\"z: \":\"\")+t.zLabel)):z&&t[i+\"Label\"]===A?p=t[(\"x\"===i?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(p=t.yLabel):p=void 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N,j,V=I.node().getBoundingClientRect(),U=t.xa._offset+(t.x0+t.x1)/2,q=t.ya._offset+(t.y0+t.y1)/2,H=Math.abs(t.x1-t.x0),G=Math.abs(t.y1-t.y0),Y=V.width+w+k+R;if(t.ty0=L-V.top,t.bx=V.width+2*k,t.by=Math.max(V.height+2*k,F),t.anchor=\"start\",t.txwidth=V.width,t.tx2width=R,t.offset=0,s)t.pos=U,N=q+G/2+Y<=O,j=q-G/2-Y>=0,\"top\"!==t.idealAlign&&N||!j?N?(q+=G/2,t.anchor=\"start\"):t.anchor=\"middle\":(q-=G/2,t.anchor=\"end\");else if(t.pos=q,N=U+H/2+Y<=P,j=U-H/2-Y>=0,\"left\"!==t.idealAlign&&N||!j)if(N)U+=H/2,t.anchor=\"start\";else{t.anchor=\"middle\";var W=Y/2,X=U+W-P,Z=U-W;X>0&&(U-=X),Z<0&&(U+=-Z)}else U-=H/2,t.anchor=\"end\";I.attr(\"text-anchor\",t.anchor),R&&D.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+U+\",\"+q+\")\"+(s?\"rotate(\"+m+\")\":\"\"))}),N}function A(t,e){t.each(function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(w+k),h=c+s*(t.txwidth+k),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+k),e&&(p*=-_,f=t.offset*b),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*w+f)+\",\"+(w+p)+\"v\"+(t.by/2-w)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*w+f)+\"V\"+(p-w)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+k,v=t.textAlign||\"auto\";\"auto\"!==v&&(\"left\"===v&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+k:-t.bx-k):\"right\"===v&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-k:t.bx+k)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*k+f,p+t.ty0-t.by/2+k),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))})}function S(t,e){var r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var a=c(r,n);l(a)&&(t[e]=a)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in t?t.xLabel:p.hoverLabelText(t.xa,t.xLabelVal),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel=\"yLabel\"in t?t.yLabel:p.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var h=p.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+h+\" / -\"+p.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" \\xb1 \"+h,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var f=p.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+f+\" / -\"+p.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" \\xb1 \"+f,\"y\"===e&&(t.distance+=1)}var d=t.hoverinfo||t.trace.hoverinfo;return d&&\"all\"!==d&&(-1===(d=Array.isArray(d)?d:d.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===d.indexOf(\"y\")&&(t.yLabel=void 0),-1===d.indexOf(\"z\")&&(t.zLabel=void 0),-1===d.indexOf(\"text\")&&(t.text=void 0),-1===d.indexOf(\"name\")&&(t.name=void 0)),t}function E(t,e,r){var n,a,o=r.container,s=r.fullLayout,l=s._size,c=r.event,f=!!e.hLinePoint,d=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),d||f){var g=h.combine(s.plot_bgcolor,s.paper_bgcolor);if(f){var v,m,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(a=y&&y.ya).spikesnap?(v=c.pointerX,m=c.pointerY):(v=n._offset+y.x,m=a._offset+y.y);var x,b,_=i.readability(y.color,g)<1.5?h.contrast(g):y.color,w=a.spikemode,k=a.spikethickness,T=a.spikecolor||_,M=p.getPxPosition(t,a);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=M,b=v),-1!==w.indexOf(\"across\")){var A=a._counterDomainMin,S=a._counterDomainMax;\"free\"===a.anchor&&(A=Math.min(A,a.position),S=Math.max(S,a.position)),x=l.l+A*l.w,b=l.l+S*l.w}o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:m,y2:m,\"stroke-width\":k,stroke:T,\"stroke-dasharray\":u.dashStyle(a.spikedash,k)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:m,y2:m,\"stroke-width\":k+2,stroke:g}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==w.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:M+(\"right\"!==a.side?k:-k),cy:m,r:k,fill:T}).classed(\"spikeline\",!0)}if(d){var E,L,C=e.vLinePoint;n=C&&C.xa,a=C&&C.ya,\"cursor\"===n.spikesnap?(E=c.pointerX,L=c.pointerY):(E=n._offset+C.x,L=a._offset+C.y);var P,O,z=i.readability(C.color,g)<1.5?h.contrast(g):C.color,I=n.spikemode,D=n.spikethickness,R=n.spikecolor||z,F=p.getPxPosition(t,n);if(-1!==I.indexOf(\"toaxis\")||-1!==I.indexOf(\"across\")){if(-1!==I.indexOf(\"toaxis\")&&(P=F,O=L),-1!==I.indexOf(\"across\")){var B=n._counterDomainMin,N=n._counterDomainMax;\"free\"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,O=l.t+(1-B)*l.h}o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:O,\"stroke-width\":D,stroke:R,\"stroke-dasharray\":u.dashStyle(n.spikedash,D)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:O,\"stroke-width\":D+2,stroke:g}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==I.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:E,cy:F-(\"top\"!==n.side?D:-D),r:D,fill:R}).classed(\"spikeline\",!0)}}}function L(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}function C(t,e){return l.plainText(t||\"\",{len:e,allowedTags:[\"br\",\"sub\",\"sup\",\"b\",\"i\",\"em\"]})}},{\"../../lib\":717,\"../../lib/events\":707,\"../../lib/override_cursor\":728,\"../../lib/svg_text_utils\":741,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../color\":592,\"../dragelement\":610,\"../drawing\":613,\"./constants\":625,\"./helpers\":627,d3:165,\"fast-isnumeric\":228,tinycolor2:536}],629:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e,r,a){r(\"hoverlabel.bgcolor\",(a=a||{}).bgcolor),r(\"hoverlabel.bordercolor\",a.bordercolor),r(\"hoverlabel.namelength\",a.namelength),n.coerceFont(r,\"hoverlabel.font\",a.font),r(\"hoverlabel.align\",a.align)}},{\"../../lib\":717}],630:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../dragelement\"),o=t(\"./helpers\"),s=t(\"./layout_attributes\"),l=t(\"./hover\");e.exports={moduleType:\"component\",name:\"fx\",constants:t(\"./constants\"),schema:{layout:s},attributes:t(\"./attributes\"),layoutAttributes:s,supplyLayoutGlobalDefaults:t(\"./layout_global_defaults\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return a.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return a.castOption(t,r,\"hoverinfo\",function(r){return a.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)})},hover:l.hover,unhover:i.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=a.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:t(\"./click\")}},{\"../../lib\":717,\"../dragelement\":610,\"./attributes\":622,\"./calc\":623,\"./click\":624,\"./constants\":625,\"./defaults\":626,\"./helpers\":627,\"./hover\":628,\"./layout_attributes\":631,\"./layout_defaults\":632,\"./layout_global_defaults\":633,d3:165}],631:[function(t,e,r){\"use strict\";var 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s=l.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),a=Math.min(a,s.ymin),i=Math.max(i,s.ymax)}return{xmin:r,xmax:n,ymin:a,ymax:i,pts:[],contains:function(t,r,n,a){for(var i=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,a)&&(i=!1===e[o].subtract);return i},isRect:!1,degenerate:!1}}function k(t,e,r){var n=e._fullLayout,a=r.plotinfo,i=n._lastSelectedSubplot&&n._lastSelectedSubplot===a.id,o=t.shiftKey||t.altKey;i&&o&&a.selection&&a.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=a.selection.selectionDefs,r.mergedPolygons=a.selection.mergedPolygons):o&&a.selection||T(r),i||(C(e),n._lastSelectedSubplot=a.id)}function T(t){var e=t.plotinfo;e.selection={},e.selection.selectionDefs=t.selectionDefs=[],e.selection.mergedPolygons=t.mergedPolygons=[]}function M(t,e,r,n){var 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n=t(\"d3\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../components/fx\"),c=t(\"../plots\"),u=t(\"../cartesian/axes\"),h=t(\"../cartesian/autorange\").getAutoRange,f=t(\"../../components/dragelement\"),p=t(\"../cartesian/select\").prepSelect,d=t(\"../cartesian/select\").selectOnClick,g=t(\"./zoom\"),v=t(\"./constants\"),m=t(\"../../lib/geo_location_utils\"),y=t(\"../../lib/topojson_utils\"),x=t(\"topojson-client\").feature;function 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e=t.projection.type,r=n.geo[v.projNames[e]](),a=t._isClipped?v.lonaxisSpan[e]/2:null,i=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],o=function(t){return t?r:[]},s=0;s<i.length;s++){var l=i[s];\"function\"!=typeof r[l]&&(r[l]=o)}r.isLonLatOverEdges=function(t){if(null===r(t))return!0;if(a){var e=r.rotate();return n.geo.distance(t,[-e[0],-e[1]])>a*Math.PI/180}return!1},r.getPath=function(){return n.geo.path().projection(r)},r.getBounds=function(t){return r.getPath().bounds(t)},r.fitExtent=function(t,e){var n=t[1][0]-t[0][0],a=t[1][1]-t[0][1],i=r.clipExtent&&r.clipExtent();r.scale(150).translate([0,0]),i&&r.clipExtent(null);var o=r.getBounds(e),s=Math.min(n/(o[1][0]-o[0][0]),a/(o[1][1]-o[0][1])),l=+t[0][0]+(n-s*(o[1][0]+o[0][0]))/2,c=+t[0][1]+(a-s*(o[1][1]+o[0][1]))/2;return i&&r.clipExtent(i),r.scale(150*s).translate([l,c])},r.precision(v.precision),a&&r.clipAngle(a-v.clipPad);return 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h(t)||f(t)?e[\"show\"+t]:!c(t)||e[t].showgrid}),d=r.framework.selectAll(\".layer\").data(p,String);d.exit().each(function(t){delete i[t],delete l[t],n.select(this).remove()}),d.enter().append(\"g\").attr(\"class\",function(t){return\"layer \"+t}).each(function(t){var e=i[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):c(t)?l[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):h(t)?l[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):f(t)&&(l[t]=e.append(\"path\").style(\"stroke\",\"none\"))}),d.order(),d.each(function(r){var n=l[r],i=v.layerNameToAdjective[r];\"frame\"===r?n.datum(v.sphereSVG):h(r)||f(r)?n.datum(x(a,a.objects[r])):c(r)&&n.datum(function(t,e,r){var n,a,i,o=e[t],s=v.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,a=s.lataxisRange,i=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,a=s.lonaxisRange,i=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};u.setConvert(l,r);var c=u.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var h=c.length,f=new Array(h),p=0;p<h;p++)for(var d=c[p].x,g=f[p]=[],m=a[0];m<a[1]+2.5;m+=2.5)g.push(i(d,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(o.stroke,e[r].gridcolor).call(s.dashLine,\"\",e[r].gridwidth),h(r)?n.call(o.stroke,e[i+\"color\"]).call(s.dashLine,\"\",e[i+\"width\"]):f(r)&&n.call(o.fill,e[i+\"color\"])})},_.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,a=r[0][0]-n,i=r[0][1]-n,l=r[1][0]-a+n,c=r[1][1]-i+n;s.setRect(this.clipRect,a,i,l,c),this.bgRect.call(s.setRect,a,i,l,c).call(o.fill,e.bgcolor),this.xaxis._offset=a,this.xaxis._length=l,this.yaxis._offset=i,this.yaxis._length=c},_.updateFx=function(t,e){var r=this,i=r.graphDiv,o=r.bgRect,s=t.dragmode,c=t.clickmode;if(!r.isStatic){var u;\"select\"===s?u=function(t,e){(t.range={})[r.id]=[v([e.xmin,e.ymin]),v([e.xmax,e.ymax])]}:\"lasso\"===s&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(v)});var h={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(e){2===e&&t._zoomlayer.selectAll(\".select-outline\").remove()}};\"pan\"===s?(o.node().onmousedown=null,o.call(g(r,e)),o.on(\"dblclick.zoom\",function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},_.saveViewInitial=function(t){var 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o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).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[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":740,\"../cartesian/axes\":765}],803:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d)0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../plot_api/edit_types\":748,\"../cartesian\":776,\"../cartesian/attributes\":763,\"../cartesian/constants\":771,\"../get_data\":800,\"../layout_attributes\":817,\"./scene2d\":804}],804:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),v=g.enforce,m=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=[\"xaxis\",\"yaxis\"],b=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function _(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=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=_;var w=_.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({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),r.className+=\" user-select-none\";var i=this.svgContainer=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\";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(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.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,a=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 i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},w.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},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},w.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],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].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())},w.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&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.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}},w.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 a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},w.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){\"lasso\"===t||\"select\"===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},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},w.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,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.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])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,a,m);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(v,m,\"bgcolor\")||g.color,borderColor:s.castHoverOption(v,m,\"bordercolor\"),fontFamily:s.castHoverOption(v,m,\"font.family\"),fontSize:s.castHoverOption(v,m,\"font.size\"),fontColor:s.castHoverOption(v,m,\"font.color\"),nameLength:s.castHoverOption(v,m,\"namelength\"),textAlign:s.castHoverOption(v,m,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":630,\"../../lib/show_no_webgl_msg\":738,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/constants\":771,\"../cartesian/constraints\":772,\"./camera\":801,\"./convert\":802,\"gl-plot2d\":290,\"gl-select-box\":302,\"gl-spikes2d\":311,\"webgl-context\":555}],805:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../lib\":717,\"../../plot_api/edit_types\":748,\"../get_data\":800,\"./layout/attributes\":806,\"./layout/defaults\":810,\"./layout/layout_attributes\":811,\"./scene\":815}],806:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],807:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.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:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":592,\"../../../lib/extend\":708,\"../../../plot_api/edit_types\":748,\"../../cartesian/layout_attributes\":777}],808:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":717,\"../../../plot_api/plot_template\":755,\"../../cartesian/axis_defaults\":767,\"../../cartesian/type_defaults\":788,\"./axis_attributes\":807,tinycolor2:536}],809:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open 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o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":717,\"../../../lib/str2rgbarray\":740}],810:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".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 g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var v=n.getDfltFromLayout(\"dragmode\");if(!1!==v&&!v)if(v=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v=\"turntable\"):v=\"turntable\")}else v=\"turntable\";r(\"dragmode\",v),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":592,\"../../../lib\":717,\"../../../registry\":846,\"../../get_data\":800,\"../../subplot_defaults\":840,\"./axis_defaults\":808,\"./layout_attributes\":811}],811:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":717,\"../../../lib/extend\":708,\"../../domain\":790,\"./axis_attributes\":807}],812:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){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]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":740}],813:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":717,\"../../cartesian/axes\":765}],814:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],815:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),m=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\");function b(t,e,r){if(t.initializeGLCamera(),!function(t,e,r,i,o){var c={canvas:i,gl:o,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e,pixelRatio:r};if(t.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");c.pixelRatio=t.pixelRatio,c.gl=a,c.canvas=n}var u=0;try{t.glplot=s(c)}catch(e){u++;try{t.glplot=s(c)}catch(t){u++}}return u<2}(t,t.camera,t.pixelRatio,e,r))return g(t);var i=t.graphDiv,o=i.layout,u=function(){var e={};return t.isCameraChanged(o)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(o)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio()),e},d=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=u();t.saveLayout(o),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",function(){d(t)}),t.glplot.canvas.addEventListener(\"wheel\",function(e){if(i._context._scrollZoom.gl3d){if(t.glplot.camera._ortho){var r=e.deltaX>e.deltaY?1.1:1/1.1,n=t.glplot.getAspectratio();t.glplot.setAspectratio({x:r*n.x,y:r*n.y,z:r*n.z})}d(t)}},!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=u();t.graphDiv.emit(\"plotly_relayouting\",e)}}),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(e){i&&i.emit&&i.emit(\"plotly_webglcontextlost\",{event:e,layer:t.id})},!1),t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(t){var e,r=t.graphDiv,n=t.svgContainer,a=t.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(t),t.glplot.axes.update(t.axesOptions);for(var s,l=Object.keys(t.traces),c=null,u=t.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(e=t.traces[l[d]]).data.hoverinfo&&e.handlePick(u)&&(c=e),e.setContourLevels&&e.setContourLevels();function g(e,r){var n=t.fullSceneLayout[e];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var m=v(t.glplot.cameraParams,u.dataCoordinate);e=c.data;var y,b=r._fullData[e.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},k=p.castHoverinfo(b,t.fullLayout,_),T=(k||\"\").split(\"+\"),M=k&&\"all\"===k;b.hovertemplate||M||(-1===T.indexOf(\"x\")&&(w.xLabel=void 0),-1===T.indexOf(\"y\")&&(w.yLabel=void 0),-1===T.indexOf(\"z\")&&(w.zLabel=void 0),-1===T.indexOf(\"text\")&&(u.textLabel=void 0),-1===T.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===e.type||\"streamtube\"===e.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==T.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==T.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==T.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==T.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===e.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==T.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===e.type||\"volume\"===e.type?(w.valueLabel=f.tickText(t.mockAxis,t.mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),e._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};t.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*i,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);t.drawAnnotations(t)}.bind(null,t),t.traces={},t.make4thDimension(),!0}function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=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\",r.appendChild(a),this.svgContainer=a,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=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),b(this)}var w=_.prototype;w.initializeGLCamera=function(){var 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e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,a,i,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),f=l||c;if(f){var p={};if(l&&(e=this.getCamera(),n=(r=h.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(a=this.glplot.getAspectratio(),o=(i=h.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),h.nestedProperty(s,this.id+\".camera\").set(e);if(c)i.set(a),h.nestedProperty(s,this.id+\".aspectratio\").set(a),this.glplot.redraw()}return f},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var 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f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),f},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];f.setConvert(e,this.fullLayout),e.setScale=h.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},f.setConvert(this.mockAxis,t)},e.exports=_},{\"../../components/fx\":630,\"../../lib\":717,\"../../lib/show_no_webgl_msg\":738,\"../../lib/str2rgbarray\":740,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"./layout/convert\":809,\"./layout/spikes\":812,\"./layout/tick_marks\":813,\"./project\":814,\"gl-plot3d\":293,\"has-passive-events\":413,\"webgl-context\":555}],816:[function(t,e,r){\"use 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t&&(-1!==h.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=a.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,o=e._subplots.mapbox;if(n.version!==h.requiredVersion)throw new Error(h.wrongVersionErrorMsg);var s=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],i=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;f(c.style)&&(u?a.pushUnique(n,u):(f(c._input.style)&&(a.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&a.pushUnique(i,u)}if(s){var p=o?h.noAccessTokenErrorMsg:h.missingStyleErrorMsg;throw a.error(p),new Error(p)}return n.length?(n.length>1&&a.warn(h.multipleTokensErrorMsg),n[0]):(i.length&&a.log([\"Listed mapbox access token(s)\",i.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,o);n.accessToken=s;for(var l=0;l<o.length;l++){var c=o[l],p=i(r,\"mapbox\",c),d=e[c],g=d._subplot;g||(g=new u(t,c),e[c]._subplot=g),g.viewInitial||(g.viewInitial={center:a.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),g.plot(p,e,t._promises)}},r.clean=function(t,e,r,n){for(var a=n._subplots.mapbox||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._subplot&&n[o]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],u=i.domain,f=i._subplot.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":f,x:n.l+n.w*u.x[0],y:n.t+n.h*(1-u.y[1]),width:n.w*(u.x[1]-u.x[0]),height:n.h*(u.y[1]-u.y[0]),preserveAspectRatio:\"none\"});var p=s.select(i._subplot.div);if(!(null===p.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var d=e._glimages.append(\"g\");d.attr(\"transform\",\"translate(\"+(n.l+n.w*u.x[0]+10)+\", \"+(n.t+n.h*(1-u.y[0])-31)+\")\"),d.append(\"path\").attr(\"d\",h.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),d.append(\"path\").attr(\"d\",h.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),d.append(\"path\").attr(\"d\",h.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),d.append(\"polygon\").attr(\"points\",h.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var g=p.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=e._glimages.append(\"g\"),m=v.append(\"text\");m.text(g).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":g});var y=l.bBox(m.node()),x=n.w*(u.x[1]-u.x[0]);if(y.width>x/2){var b=g.split(\"|\").join(\"<br>\");m.text(b).attr(\"data-unformatted\",b).call(c.convertToTspans,t),y=l.bBox(m.node())}m.attr(\"transform\",\"translate(-3, \"+(8-y.height)+\")\"),v.insert(\"rect\",\".static-attribution\").attr({x:-y.width-6,y:-y.height-3,width:y.width+6,height:y.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var _=1;y.width+6>x&&(_=x/(y.width+6));var w=[n.l+n.w*u.x[1],n.t+n.h*(1-u.y[0])];v.attr(\"transform\",\"translate(\"+w[0]+\",\"+w[1]+\") scale(\"+_+\")\")}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":613,\"../../constants/xmlns_namespaces\":694,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plots/get_data\":800,\"./constants\":818,\"./layout_attributes\":822,\"./layout_defaults\":823,\"./mapbox\":824,d3:165,\"mapbox-gl\":428}],821:[function(t,e,r){\"use strict\";var 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e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0})}return{layout:e,paint:r}}s.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=l(t)},s.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},s.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},s.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},s.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates})},s.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,l(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=t.sourceattribution);return a}(t);e.addSource(this.idSource,r)}},s.updateLayer=function(t){var e,r=this.subplot,n=c(t),a=this.subplot.belowLookup[\"layout-\"+this.index];if(\"traces\"===a)for(var o=r.getMapLayers(),s=0;s<o.length;s++){var u=o[s].id;if(\"string\"==typeof u&&0===u.indexOf(i.traceLayerPrefix)){e=u;break}}else e=a;this.removeLayer(),l(t)&&r.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:n.layout,paint:n.paint},e),this.layerType=t.type,this.below=a},s.updateStyle=function(t){if(l(t)){var e=c(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},s.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},s.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new o(t,e);return n.update(r),n}},{\"../../lib\":717,\"./constants\":818,\"./convert_text_opts\":819}],822:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\").defaultLine,i=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),h=o({});h.family.dflt=\"Open Sans Regular, Arial Unicode MS 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'</svg>\",\"application/xml\"),I=this.appendChild(this.ownerDocument.importNode(z.documentElement,!0));t=n.select(I)}t.select(\".guides-group\").style({\"pointer-events\":\"none\"}),t.select(\".angular.axis-group\").style({\"pointer-events\":\"none\"}),t.select(\".radial.axis-group\").style({\"pointer-events\":\"none\"});var D,R=t.select(\".chart-group\"),F={fill:\"none\",stroke:f.tickColor},B={\"font-size\":f.font.size,\"font-family\":f.font.family,fill:f.font.color,\"text-shadow\":[\"-1px 0px\",\"1px -1px\",\"-1px 1px\",\"1px 1px\"].map(function(t,e){return\" \"+t+\" 0 \"+f.font.outlineColor}).join(\",\")};if(f.showLegend){D=t.select(\".legend-group\").attr({transform:\"translate(\"+[x,f.margin.top]+\")\"}).style({display:\"block\"});var N=p.map(function(t,e){var r=o.util.cloneJson(t);return r.symbol=\"DotPlot\"===t.geometry?t.dotType||\"circle\":\"LinePlot\"!=t.geometry?\"square\":\"line\",r.visibleInLegend=\"undefined\"==typeof t.visibleInLegend||t.visibleInLegend,r.color=\"LinePlot\"===t.geometry?t.strokeColor:t.color,r});o.Legend().config({data:p.map(function(t,e){return t.name||\"Element\"+e}),legendConfig:a({},o.Legend.defaultConfig().legendConfig,{container:D,elements:N,reverseOrder:f.legend.reverseOrder})})();var j=D.node().getBBox();x=Math.min(f.width-j.width-f.margin.left-f.margin.right,f.height-f.margin.top-f.margin.bottom)/2,x=Math.max(10,x),_=[f.margin.left+x,f.margin.top+x],r.range([0,x]),u.layout.radialAxis.domain=r.domain(),D.attr(\"transform\",\"translate(\"+[_[0]+x,_[1]-x]+\")\")}else D=t.select(\".legend-group\").style({display:\"none\"});t.attr({width:f.width,height:f.height}).style({opacity:f.opacity}),R.attr(\"transform\",\"translate(\"+_+\")\").style({cursor:\"crosshair\"});var V=[(f.width-(f.margin.left+f.margin.right+2*x+(j?j.width:0)))/2,(f.height-(f.margin.top+f.margin.bottom+2*x))/2];if(V[0]=Math.max(0,V[0]),V[1]=Math.max(0,V[1]),t.select(\".outer-group\").attr(\"transform\",\"translate(\"+V+\")\"),f.title&&f.title.text){var U=t.select(\"g.title-group text\").style(B).text(f.title.text),q=U.node().getBBox();U.attr({x:_[0]-q.width/2,y:_[1]-x-20})}var H=t.select(\".radial.axis-group\");if(f.radialAxis.gridLinesVisible){var G=H.selectAll(\"circle.grid-circle\").data(r.ticks(5));G.enter().append(\"circle\").attr({class:\"grid-circle\"}).style(F),G.attr(\"r\",r),G.exit().remove()}H.select(\"circle.outside-circle\").attr({r:x}).style(F);var Y=t.select(\"circle.background-circle\").attr({r:x}).style({fill:f.backgroundColor,stroke:f.stroke});function W(t,e){return s(t)%360+f.orientation}if(f.radialAxis.visible){var X=n.svg.axis().scale(r).ticks(5).tickSize(5);H.call(X).attr({transform:\"rotate(\"+f.radialAxis.orientation+\")\"}),H.selectAll(\".domain\").style(F),H.selectAll(\"g>text\").text(function(t,e){return this.textContent+f.radialAxis.ticksSuffix}).style(B).style({\"text-anchor\":\"start\"}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return\"horizontal\"===f.radialAxis.tickOrientation?\"rotate(\"+-f.radialAxis.orientation+\") translate(\"+[0,B[\"font-size\"]]+\")\":\"translate(\"+[0,B[\"font-size\"]]+\")\"}}),H.selectAll(\"g>line\").style({stroke:\"black\"})}var Z=t.select(\".angular.axis-group\").selectAll(\"g.angular-tick\").data(O),J=Z.enter().append(\"g\").classed(\"angular-tick\",!0);Z.attr({transform:function(t,e){return\"rotate(\"+W(t)+\")\"}}).style({display:f.angularAxis.visible?\"block\":\"none\"}),Z.exit().remove(),J.append(\"line\").classed(\"grid-line\",!0).classed(\"major\",function(t,e){return e%(f.minorTicks+1)==0}).classed(\"minor\",function(t,e){return!(e%(f.minorTicks+1)==0)}).style(F),J.selectAll(\".minor\").style({stroke:f.minorTickColor}),Z.select(\"line.grid-line\").attr({x1:f.tickLength?x-f.tickLength:0,x2:x}).style({display:f.angularAxis.gridLinesVisible?\"block\":\"none\"}),J.append(\"text\").classed(\"axis-text\",!0).style(B);var K=Z.select(\"text.axis-text\").attr({x:x+f.labelOffset,dy:i+\"em\",transform:function(t,e){var r=W(t),n=x+f.labelOffset,a=f.angularAxis.tickOrientation;return\"horizontal\"==a?\"rotate(\"+-r+\" \"+n+\" 0)\":\"radial\"==a?r<270&&r>90?\"rotate(180 \"+n+\" 0)\":null:\"rotate(\"+(r<=180&&r>0?-90:90)+\" \"+n+\" 0)\"}}).style({\"text-anchor\":\"middle\",display:f.angularAxis.labelsVisible?\"block\":\"none\"}).text(function(t,e){return e%(f.minorTicks+1)!=0?\"\":w?w[t]+f.angularAxis.ticksSuffix:t+f.angularAxis.ticksSuffix}).style(B);f.angularAxis.rewriteTicks&&K.text(function(t,e){return e%(f.minorTicks+1)!=0?\"\":f.angularAxis.rewriteTicks(this.textContent,e)});var Q=n.max(R.selectAll(\".angular-tick text\")[0].map(function(t,e){return t.getCTM().e+t.getBBox().width}));D.attr({transform:\"translate(\"+[x+Q,f.margin.top]+\")\"});var $=t.select(\"g.geometry-group\").selectAll(\"g\").size()>0,tt=t.select(\"g.geometry-group\").selectAll(\"g.geometry\").data(p);if(tt.enter().append(\"g\").attr({class:function(t,e){return\"geometry geometry\"+e}}),tt.exit().remove(),p[0]||$){var et=[];p.forEach(function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter(function(t,r){return r==e}),n.geometry=t.geometry,n.orientation=f.orientation,n.direction=f.direction,n.index=e,et.push({data:t,geometryConfig:n})});var rt=n.nest().key(function(t,e){return\"undefined\"!=typeof t.data.groupId||\"unstacked\"}).entries(et),nt=[];rt.forEach(function(t,e){\"unstacked\"===t.key?nt=nt.concat(t.values.map(function(t,e){return[t]})):nt.push(t.values)}),nt.forEach(function(t,e){var r;r=Array.isArray(t)?t[0].geometryConfig.geometry:t.geometryConfig.geometry;var n=t.map(function(t,e){return a(o[r].defaultConfig(),t)});o[r]().config(n)()})}var at,it,ot=t.select(\".guides-group\"),st=t.select(\".tooltips-group\"),lt=o.tooltipPanel().config({container:st,fontSize:8})(),ct=o.tooltipPanel().config({container:st,fontSize:8})(),ut=o.tooltipPanel().config({container:st,hasTick:!0})();if(!T){var ht=ot.select(\"line\").attr({x1:0,y1:0,y2:0}).style({stroke:\"grey\",\"pointer-events\":\"none\"});R.on(\"mousemove.angular-guide\",function(t,e){var r=o.util.getMousePos(Y).angle;ht.attr({x2:-x,transform:\"rotate(\"+r+\")\"}).style({opacity:.5});var n=(r+180+360-f.orientation)%360;at=s.invert(n);var a=o.util.convertToCartesian(x+12,r+180);lt.text(o.util.round(at)).move([a[0]+_[0],a[1]+_[1]])}).on(\"mouseout.angular-guide\",function(t,e){ot.select(\"line\").style({opacity:0})})}var ft=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",function(t,e){var n=o.util.getMousePos(Y).radius;ft.attr({r:n}).style({opacity:.5}),it=r.invert(o.util.getMousePos(Y).radius);var a=o.util.convertToCartesian(n,f.radialAxis.orientation);ct.text(o.util.round(it)).move([a[0]+_[0],a[1]+_[1]])}).on(\"mouseout.radial-guide\",function(t,e){ft.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()}),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",function(e,r){var a=n.select(this),i=this.style.fill,s=\"black\",l=this.style.opacity||1;if(a.attr({\"data-opacity\":l}),i&&\"none\"!==i){a.attr({\"data-fill\":i}),s=n.hsl(i).darker().toString(),a.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};T&&(c.t=w[e[0]]);var u=\"t: \"+c.t+\", r: \"+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-V[0]-f.left,h.top+h.height/2-V[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else i=this.style.stroke||\"black\",a.attr({\"data-stroke\":i}),s=n.hsl(i).darker().toString(),a.style({stroke:s,opacity:1})}).on(\"mousemove.tooltip\",function(t,e){if(0!=n.event.which)return!1;n.select(this).attr(\"data-fill\")&&ut.show()}).on(\"mouseout.tooltip\",function(t,e){ut.hide();var r=n.select(this),a=r.attr(\"data-fill\");a?r.style({fill:a,opacity:r.attr(\"data-opacity\")}):r.style({stroke:r.attr(\"data-stroke\"),opacity:r.attr(\"data-opacity\")})})})}(c),this},f.config=function(t){if(!arguments.length)return l;var e=o.util.cloneJson(t);return e.data.forEach(function(t,e){l.data[e]||(l.data[e]={}),a(l.data[e],o.Axis.defaultConfig().data[0]),a(l.data[e],t)}),a(l.layout,o.Axis.defaultConfig().layout),a(l.layout,e.layout),this},f.getLiveConfig=function(){return u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return 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n=e*Math.PI/180;return[e,t(n)]})},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach(function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)});var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map(function(t,e){return r[e]||r[0]})},o.util.fillArrays=function(t,e,r){return e.forEach(function(e,n){t[e]=o.util.ensureArray(t[e],r)}),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map(function(t,e){return n.sum(t)})},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter(function(t,e,r){return r.indexOf(t)==e})},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce(function(t,e){if(\"undefined\"!=typeof t)return t[e]},t);\"undefined\"!=typeof i&&(e.reduce(function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius(function(t){return e.radialScale(t[1])}).angle(function(t){return e.angularScale(t[0])*Math.PI/180});c.line=function(r,a,i){var s=r[2]?o[i].map(function(t,e){return[t[0],t[1]+t[2]]}):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle(function(t){return-f/2}).endAngle(function(t){return f/2}).innerRadius(function(t){return e.radialScale(l+(t[2]||0))}).outerRadius(function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])});c.arc=function(t,r,a){n.select(this).attr({class:\"mark arc\",d:p,transform:function(t,r){return\"rotate(\"+(e.orientation+s(t[0])+90)+\")\"}})};var d={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},\"stroke-width\":function(e,r,n){return t[n].data.strokeSize+\"px\"},\"stroke-dasharray\":function(e,n,a){return r[t[a].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return\"undefined\"==typeof t[n].data.visible||t[n].data.visible?\"block\":\"none\"}},g=n.select(this).selectAll(\"g.layer\").data(o);g.enter().append(\"g\").attr({class:\"layer\"});var v=g.selectAll(\"path.mark\").data(function(t,e){return t});v.enter().append(\"path\").attr({class:\"mark\"}),v.style(d).each(c[e.geometryType]),v.exit().remove(),g.exit().remove()})}return i.config=function(e){return arguments.length?(e.forEach(function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)}),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map(function(t,r){return[].concat(t).map(function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i})}),o=n.merge(i);o=o.filter(function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)}),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map(function(t,e){return t.color}),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),v=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var m=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);m.enter().append(\"stop\"),m.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,v(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(v).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,v=p.height+2*f;return r.attr({d:\"M\"+[[l,-v/2],[l,-v/4],[i.hasTick?0:l,0],[l,v/4],[l,v/2],[g,v/2],[g,-v/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-v/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map(function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n}),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)})}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach(function(t,e){u[c[l.indexOf(t.key)]]=t.value}),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":686,\"../../../lib\":717,d3:165}],836:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":592,\"../../../lib\":717,\"./micropolar\":835,\"./undo_manager\":837,d3:165}],837:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n?this:(e.splice(r+1,e.length-r),e.push(t),r=e.length-1,this)},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],838:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),v=t(\"../../components/fx\"),m=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),k=t(\"../../plot_api/subroutines\").redrawReglTraces,T=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,L=o.deg2rad,C=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},O.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",function(t){return\"polarsublayer \"+t}).each(function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(L);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(L(s)),u=Math.sin(L(s)),h=Math.cos(L(l)),f=Math.sin(L(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=k-M*y[0],C=this.cy=T+M*y[3],P=this.cxx=S-k,O=this.cyy=C-T;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,O)),r.frontplot.attr(\"transform\",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,C)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return 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v=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},m=z(f);if(r.radialTickLayout!==m&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=m),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:v,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:v,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?C(I(L(f.angle),r.vangles)):f.angle,w=R(c,h),k=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:k}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:k}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},O.updateRadialAxisTitle=function(t,e,r){var 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e}r.hovertemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"none\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r},r.texttemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"calc\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r}},{\"../constants/docs\":688}],842:[function(t,e,r){\"use strict\";var n=t(\"./ternary\"),a=t(\"../../plots/get_data\").getSubplotCalcData,i=t(\"../../lib\").counterRegex;r.name=\"ternary\";var o=r.attr=\"subplot\";r.idRoot=\"ternary\",r.idRegex=r.attrRegex=i(\"ternary\"),(r.attributes={})[o]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots.ternary,o=0;o<i.length;o++){var s=i[o],l=a(r,\"ternary\",s),c=e[s]._subplot;c||(c=new 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:i.title.text,font:i.title.font},color:i.color,tickmode:i.tickmode,nticks:s({},i.nticks,{dflt:6,min:1}),tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickfont:i.tickfont,tickangle:i.tickangle,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:s({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:s({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth,layer:i.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},c=e.exports=o({domain:a({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":591,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../cartesian/layout_attributes\":777,\"../domain\":790}],844:[function(t,e,r){\"use 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),v=t(\"../../components/titles\"),m=t(\"../cartesian/select\").prepSelect,y=t(\"../cartesian/select\").selectOnClick,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/constants\");function _(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=_;var w=_.prototype;w.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},w.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++){if(!1===t[a][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(l.fill,r.bgcolor)},w.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,a=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),c.setClipUrl(this.layers.backplot,n,e),c.setClipUrl(this.layers.grids,n,e)},w.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below 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r,n,a,i,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,v=p.x[1]-p.x[0],m=p.y[1]-p.y[0],y=v*e.w,x=m*e.h,b=t.sum,_=t.aaxis.min,w=t.baxis.min,T=t.caxis.min;y>k*x?a=(i=x)*k:i=(a=y)/k,o=v*a/y,s=m*i/x,r=e.l+e.w*d-a/2,n=e.t+e.h*(1-g)-i/2,f.x0=r,f.y0=n,f.w=a,f.h=i,f.sum=b,f.xaxis={type:\"linear\",range:[_+2*T-b,b-_-2*w],domain:[d-o/2,d+o/2],_id:\"x\"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:\"linear\",range:[_,b-w-T],domain:[g-s/2,g+s/2],_id:\"y\"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var M=f.yaxis.domain[0],A=f.aaxis=h({},t.aaxis,{range:[_,b-w-T],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[M,M+s*k],anchor:\"free\",position:0,_id:\"y\",_length:a});u(A,f.graphDiv._fullLayout),A.setScale();var 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T=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+T+\"v3h-\"+(T+5.2)+\"l\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l2.6,1.5l-\"+T/2+\",\"+.87*T+\"Z\",A=\"m0.87,.5h-\"+T+\"v3h\"+(T+5.2)+\"l-\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l-2.6,1.5l\"+T/2+\",\"+.87*T+\"Z\",S=\"m0,1l\"+T/2+\",\"+.87*T+\"l2.6,-1.5l-\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l-\"+(T/2+2.6)+\",\"+(.87*T+4.5)+\"l2.6,1.5l\"+T/2+\",-\"+.87*T+\"Z\",E=\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2Z\",L=!0;function C(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}w.initInteractions=function(){var t,e,r,n,u,h,f,p,v,_,w=this,T=w.layers.plotbg.select(\"path\").node(),P=w.graphDiv,O=P._fullLayout._zoomlayer,z={element:T,gd:P,plotinfo:{id:w.id,xaxis:w.xaxis,yaxis:w.yaxis},subplot:w.id,prepFn:function(i,o,s){z.xaxes=[w.xaxis],z.yaxes=[w.yaxis];var c=P._fullLayout.dragmode;z.minDrag=\"lasso\"===c?1:void 0,\"zoom\"===c?(z.moveFn=N,z.clickFn=D,z.doneFn=j,function(i,o,s){var 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n=t(\"../choropleth/attributes\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:i({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../choropleth/attributes\":924}],934:[function(t,e,r){\"use 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n=t(\"../pie/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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e.visible=!1}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"../pie/defaults\":1097,\"./attributes\":991}],995:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":1105,\"./attributes\":991,\"./base_plot\":992,\"./calc\":993,\"./defaults\":994,\"./layout_attributes\":996,\"./layout_defaults\":997,\"./plot\":998,\"./style\":999}],996:[function(t,e,r){\"use strict\";var n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1101}],997:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":717,\"./layout_attributes\":996}],998:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../lib\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"../bar/plot\").toMoveInsideBar,l=t(\"../bar/uniform_text\"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t(\"../pie/helpers\"),f=t(\"../pie/plot\"),p=f.attachFxHandlers,d=f.determineInsideTextFont,g=f.layoutAreas,v=f.prerenderTitles,m=f.positionTitleOutside,y=f.formatSliceLabel;function 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M=p[T+=1][0],A=p[T][1];f.TL=[-M,A],f.TR=[M,A],f.BL=w,f.BR=k,f.pxmid=(S=f.TR,E=f.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=f.TL,k=f.TR}var S,E}(e),l.each(function(){var l=n.select(this).selectAll(\"g.slice\").data(e);l.enter().append(\"g\").classed(\"slice\",!0),l.exit().remove(),l.each(function(l,g){if(l.hidden)n.select(this).selectAll(\"path,g\").remove();else{l.pointNumber=l.i,l.curveNumber=f.index;var v=u.cx,m=u.cy,b=n.select(this),_=b.selectAll(\"path.surface\").data([l]);_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),b.call(p,t,e);var w=\"M\"+(v+l.TR[0])+\",\"+(m+l.TR[1])+x(l.TR,l.BR)+x(l.BR,l.BL)+x(l.BL,l.TL)+\"Z\";_.attr(\"d\",w),y(t,l,u);var k=h.castOption(f.textposition,l.pts),T=b.selectAll(\"g.slicetext\").data(l.text&&\"none\"!==k?[0]:[]);T.enter().append(\"g\").classed(\"slicetext\",!0),T.exit().remove(),T.each(function(){var u=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),h=i.ensureUniformFontSize(t,d(f,l,r.font));u.text(l.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,h).call(o.convertToTspans,t);var p,y,x,b=a.bBox(u.node()),_=Math.min(l.BL[1],l.BR[1])+m,w=Math.max(l.TL[1],l.TR[1])+m;y=Math.max(l.TL[0],l.BL[0])+v,x=Math.min(l.TR[0],l.BR[0])+v,(p=s(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=h.size,c(f.type,p,r),e[g].transform=p,u.attr(\"transform\",i.getTextTransform(p))})}});var g=n.select(this).selectAll(\"g.titletext\").data(f.title.text?[0]:[]);g.enter().append(\"g\").classed(\"titletext\",!0),g.exit().remove(),g.each(function(){var e=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),s=f.title.text;f._meta&&(s=i.templateString(s,f._meta)),e.text(s).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,f.title.font).call(o.convertToTspans,t);var l=m(u,r._size);e.attr(\"transform\",\"translate(\"+l.x+\",\"+l.y+\")\"+(l.scale<1?\"scale(\"+l.scale+\")\":\"\")+\"translate(\"+l.tx+\",\"+l.ty+\")\")})})})}},{\"../../components/drawing\":613,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/plot\":867,\"../bar/uniform_text\":872,\"../pie/helpers\":1099,\"../pie/plot\":1103,d3:165}],999:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../pie/style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(\".trace\");i(t,e,\"funnelarea\"),e.each(function(t){var 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=(t(\"../../constants/docs\").FORMAT_LINK,t(\"../../lib/extend\").extendFlat);e.exports=s({z:{valType:\"data_array\",editType:\"calc\"},x:s({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:s({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:s({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:s({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:s({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:s({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},zhoverformat:{valType:\"string\",dflt:\"\",editType:\"none\"},hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},{transforms:void 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h,M,A,S,E,L=e[0].trace,C=n.select(this),P=L._hasGauge,O=L._isAngular,z=L._isBullet,I=L.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=L.align||\"center\";if(M=F,P){if(O&&(h=R,M=F+B/2,A=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var V=l.bulletPadding,U=1-l.bulletNumberDomainSize+V;h=D.l+(U+(1-U)*v[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-V)*D.w,D.h)}}}else h=D.l+v[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),L=[];f._hasNumber&&L.push(\"number\");f._hasDelta&&(L.push(\"delta\"),\"left\"===f.delta.position&&L.reverse());var C=E.selectAll(\"text\").data(L);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(m)||r(a).slice(-1).match(m))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}C.enter().append(\"text\"),C.attr(\"text-anchor\",function(){return M}).attr(\"class\",function(t){return t}).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),C.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}}).each(\"end\",function(){g(),S&&S()}).each(\"interrupt\",function(){g(),S&&S()}):g();return l=k(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",function(){p(),S&&S()}).each(\"interrupt\",function(){p(),S&&S()}).attrTween(\"text\",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}}):p();o=k(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var I,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(I=T(f,\"deltaPos\",0,-1*(o.width*v[f.align]+l.width*(1-v[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+I,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(I=T(f,\"deltaPos\",0,o.width*(1-v[f.align])+l.width*v[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+I,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(I=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(I=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),O.attr({dx:I,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",function(){var t=i.numbersScaler(h);z+=t[2];var e,r=T(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=T(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"})}(t,C,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},E={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var q=C.selectAll(\"g.angular\").data(O?e:[]);q.exit().remove();var H=C.selectAll(\"g.angularaxis\").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,v=a.gaugeBg,m=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=a.gauge,T=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function L(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function C(t){t.attr(\"d\",function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append(\"g\").classed(\"angular\",!0),k.attr(\"transform\",_(w[0],w[1])),T.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),T.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return 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j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",function(){A&&A()}).each(\"interrupt\",function(){A&&A()}).attrTween(\"d\",(V=B,U=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(U,q);return function(e){return V.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var V,U,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=k.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(C).call(x),G.exit().remove();var Y=k.selectAll(\"g.gauge-outline\").data([m]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(C).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=C.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=C.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+m.l+\", \"+m.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var T=m.h,M=h.gauge.bar.thickness*T,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=m.t+m.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))}).attr(\"x\",function(t){return a.c2p(t.range[0])}).attr(\"y\",function(t){return.5*(1-t.thickness)*T}).attr(\"height\",function(t){return t.thickness*T})}var L=[g].concat(h.gauge.steps),C=f.selectAll(\"g.bg-bullet\").data(L);C.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),C.select(\"rect\").call(E).call(x),C.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(T-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",function(){k&&k()}).each(\"interrupt\",function(){k&&k()}).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return h.gauge.threshold.value}),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*T).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*T).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var I=f.selectAll(\"g.gauge-outline\").data([v]);I.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),I.select(\"rect\").call(E).call(x),I.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=C.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",function(){return z?g.right:g[L.title.align]}).text(L.title.text).call(s.font,L.title.font).call(c.convertToTspans,t),W.attr(\"transform\",function(){var t,e=D.l+D.w*v[L.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(O)if(L.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=L._numbersTop-r-n.bottom;return _(e,t)})})}},{\"../../components/color\":592,\"../../components/drawing\":613,\"../../constants/alignment\":686,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plots/cartesian/axes\":765,\"../../plots/cartesian/axis_defaults\":767,\"../../plots/cartesian/layout_attributes\":777,\"../../plots/cartesian/position_defaults\":780,\"./constants\":1052,d3:165}],1056:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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s=o[0];a(t,s,r,i)}},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcats\"),i=e._has&&e._has(\"parcats\");a&&!i&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":800,\"./plot\":1081}],1077:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\");function c(t,e,r){t.valueInds.push(e),t.count+=r}function u(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}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var f,p,d,g=r.map(function(t){var e;return\"trace\"===t.categoryorder?e=null:\"array\"===t.categoryorder?e=t.categoryarray:(e=o(t.values).sort(),\"category descending\"===t.categoryorder&&(e=e.reverse())),function(t,e){e=null==e?[]:e.map(function(t){return t});var r={},n={},a=[];e.forEach(function(t,e){r[t]=0,n[t]=e});for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map(function(t){return r[t]});return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)});f=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map(function(t){return t.displayindex})))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach(function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])});var v,m=e.line;m?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(m)):v=l.identity;var y,x,b,_,w,k=r[0].values.length,T={},M=g.map(function(t){return t.inds});for(d=0,y=0;y<k;y++){var A=[];for(x=0;x<M.length;x++)A.push(M[x][y]);p=f[y%f.length],d+=p;var S=(b=y,_=void 0,w=void 0,l.isArrayOrTypedArray(m.color)?w=_=m.color[b%m.color.length]:_=m.color,{color:v(_),rawColor:w}),E=A+\"-\"+S.rawColor;void 0===T[E]&&(T[E]=u(A,S.color,S.rawColor)),h(T[E],y,p)}var L,C=r.map(function(t,e){return r=e,n=t._index,a=t._displayindex,i=t.label,{dimensionInd:r,containerInd:n,displayInd:a,dimensionLabel:i,count:d,categories:[],dragX:null};var r,n,a,i});for(y=0;y<k;y++)for(p=f[y%f.length],x=0;x<C.length;x++){var P=C[x].containerInd,O=g[x].inds[y],z=C[x].categories;if(void 0===z[O]){var I=e.dimensions[P]._categoryarray[O],D=e.dimensions[P]._ticktext[O];z[O]={dimensionInd:x,categoryInd:L=O,categoryValue:I,displayInd:L,categoryLabel:D,valueInds:[],count:0,dragY:null}}c(z[O],y,p)}return n(function(t,e,r){var n=t.map(function(t){return t.categories.length}).reduce(function(t,e){return Math.max(t,e)});return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(C,T,d))}},{\"../../components/colorscale/calc\":600,\"../../components/colorscale/helpers\":603,\"../../components/drawing\":613,\"../../lib\":717,\"../../lib/filter_unique.js\":709,\"../../lib/gup\":715}],1078:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var a=r(\"values\"),i=r(\"visible\");if(a&&a.length||(i=e.visible=!1),i){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,h){function f(r,a){return n.coerce(t,e,l,r,a)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var v={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",v)}},{\"../../components/colorscale/defaults\":602,\"../../components/colorscale/helpers\":603,\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"../../plots/domain\":790,\"../parcoords/merge_length\":1091,\"./attributes\":1075}],1079:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1075,\"./base_plot\":1076,\"./calc\":1077,\"./defaults\":1078,\"./plot\":1081}],1080:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(function(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};a.dimensions&&(F(g),R(g));return g}.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),v=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"}),v.append(\"g\").attr(\"class\",\"paths\");var m=u.select(\"g.paths\").selectAll(\"path.path\").data(function(t){return t.paths},h);m.attr(\"fill\",function(t){return t.model.color});var b=m.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",0);x(b),m.attr(\"d\",function(t){return t.svgD}),b.empty()||m.sort(p),m.exit().remove(),m.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),v.append(\"g\").attr(\"class\",\"dimensions\");var k=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data(function(t){return t.dimensions},h);k.enter().append(\"g\").attr(\"class\",\"dimension\"),k.attr(\"transform\",function(t){return\"translate(\"+t.x+\", 0)\"}),k.exit().remove();var T=k.selectAll(\"g.category\").data(function(t){return t.categories},h),M=T.enter().append(\"g\").attr(\"class\",\"category\");T.attr(\"transform\",function(t){return\"translate(0, \"+t.y+\")\"}),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),T.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",function(t){return t.width}).attr(\"height\",function(t){return t.height}),_(M);var A=T.selectAll(\"rect.bandrect\").data(function(t){return t.bands},h);A.each(function(){o.raiseToTop(this)}),A.attr(\"fill\",function(t){return t.color});var O=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",function(t){return t.color}).attr(\"fill-opacity\",0);A.attr(\"fill\",function(t){return t.color}).attr(\"width\",function(t){return t.width}).attr(\"height\",function(t){return t.height}).attr(\"y\",function(t){return t.y}).attr(\"cursor\",function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"}),w(O),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;T.select(\"text.catlabel\").attr(\"text-anchor\",function(t){return f(t)?\"start\":\"end\"}).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",function(t){return f(t)?t.width+5:-5}).attr(\"y\",function(t){return t.height/2}).text(function(t){return t.model.categoryLabel}).each(function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)}),M.append(\"text\").attr(\"class\",\"dimlabel\"),T.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){s.font(n.select(this),t.parcatsViewModel.labelfont)}),T.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),T.exit().remove(),k.call(n.behavior.drag().origin(function(t){return{x:t.x,y:0}}).on(\"dragstart\",L).on(\"drag\",C).on(\"dragend\",P)),u.each(function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")}),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),b(n.select(this));var e=v(t),r=m(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,k=l.mostReadable(t.model.color,[\"black\",\"white\"]),T=t.model.count,M=T/t.parcatsViewModel.model.count,A={countLabel:T,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:k,idealAlign:L<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:T,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function m(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function T(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,v(t))})});var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=k(a),l=[];s.each(function(t){Array.prototype.push.apply(l,v(t))});var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&v.push([\"Count:\",g.countLabel].join(\" 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v=s.model.count,m=0;c.pathSelection.each(function(t){t.model.color===o.color&&(m+=t.model.count)});var y=g/d,x=g/m,b=g/v,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var k=w.join(\"<br>\"),T=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:k,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:T,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:v,colorcount:m,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){r.push(A(t,this))}),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):T(this,\"plotly_unhover\",n.event)}}function L(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}F(t.parcatsViewModel),R(t.parcatsViewModel),I(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==i[e]});o&&i.forEach(function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var c=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),u=c.map(function(t){return t.categoryValue}),h=c.map(function(t){return t.categoryLabel});e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):T(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,F(t.parcatsViewModel),R(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each(function(){I(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)}).each(\"end\",function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function 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e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)});var i=a.selectAll(\"rect.bandrect\").data(function(t){return t.bands},h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(t){return t.color}).attr(\"fill-opacity\",0);i.attr(\"fill\",function(t){return t.color}).attr(\"width\",function(t){return t.width}).attr(\"height\",function(t){return t.height}).attr(\"y\",function(t){return t.y}),w(s),i.each(function(){o.raiseToTop(this)}),i.exit().remove()}function D(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 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Array(c.length),p=e[0].model.count,d=e[0].categories.map(function(t){return t.height}).reduce(function(t,e){return t+e}),g=0;g<c.length;g++){var v,m=c[g];v=p>0?d*(m.count/p):0;for(var y,x=new Array(n.length),b=0;b<m.categoryInds.length;b++){var _=m.categoryInds[b],w=a[b][_],k=i[b];x[k]=n[k][w],n[k][w]+=v;var T=t.dimensions[k].categories[w],M=T.bands.length,A=T.bands[M-1];if(void 0===A||m.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;T.bands.push({key:S,color:m.color,rawColor:m.rawColor,height:v,width:T.width,count:m.count,y:S,categoryViewModel:T,parcatsViewModel:t})}else{var E=T.bands[M-1];E.height+=v,E.count+=m.count}}y=\"hspline\"===t.pathShape?D(s,x,l,v,.5):D(s,x,l,v,0),f[g]={key:m.valueInds[0],model:m,height:v,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function F(t){var e=t.model.dimensions.map(function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}});e.sort(function(t,e){return t.displayInd-e.displayInd});var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(B(t,i))}t.dimensions=r}function B(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,v=e.categories.map(function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}});for(v.sort(function(t,e){return t.displayInd-e.displayInd}),c=0;c<f;c++)l=v[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":613,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plot_api/plot_api\":752,d3:165,tinycolor2:536}],1081:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1080}],1082:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/plot_template\":755,\"../../plots/cartesian/layout_attributes\":777,\"../../plots/domain\":790,\"../../plots/font_attributes\":791}],1083:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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k(t){t.on(\"mousemove\",function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||m()}).call(a.behavior.drag().on(\"dragstart\",function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter(function(t){return t[0]!==l[0]&&t[1]!==l[1]})),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on(\"drag\",function(t){_(this,t)}).on(\"dragend\",function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.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(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map(function(t){return t.slice().sort(s)}).sort(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(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=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map(function(t){return t.slice()})}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(k).attr(\"height\",function(t){return t.height-n.verticalPadding});var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",function(t){return t.height}).call(y);var a=t.selectAll(\".highlight\").data(o);a.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\"),a.attr(\"y1\",function(t){return t.height}).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?A(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e}).filter(function(t){return t})).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":717,\"../../lib/gup\":715,\"./constants\":1086,d3:165}],1084:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter(function(t,e){return e===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each(function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")},60)}},{\"../../constants/xmlns_namespaces\":694,\"../../plots/get_data\":800,\"./plot\":1093,d3:165}],1085:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.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]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":604,\"../../lib\":717,\"../../lib/gup\":715}],1086:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1087:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",m),n.coerceFont(u,\"tickfont\",m),n.coerceFont(u,\"rangefont\",m),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":602,\"../../components/colorscale/helpers\":603,\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"../../plots/cartesian/axes\":765,\"../../plots/domain\":790,\"./attributes\":1082,\"./axisbrush\":1083,\"./constants\":1086,\"./merge_length\":1091}],1088:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":717}],1089:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1082,\"./base_plot\":1084,\"./calc\":1085,\"./defaults\":1087,\"./plot\":1093}],1090:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function p(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],p(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame(function(){s(l+1)})),r.drawCompleted=!1)}(0)}function g(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function x(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var v=t.lines.canvasOverdrag,m=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(t.pad.l-v)+t.layoutWidth*m.x[0],scissorWidth:(n===r?y-o+v:c+.5)+(n===e?o+v:0),scissorY:l+t.pad.b+t.layoutHeight*m.y[0],scissorHeight:u,viewportX:t.pad.l-v+t.layoutWidth*m.x[0],viewportY:t.pad.b+t.layoutHeight*m.y[0],viewportWidth:y,viewportHeight:x},p)}function b(t){var e=c-1,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}e.exports=function(t,e){var r,n,u,m,_,w=e.context,k=e.pick,T=e.regl,M={currentRafs:{},drawCompleted:!0,clearOnly:!1},A=function(t){for(var e={},r=0;r<=o;r+=4)e[y(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),S=T.texture(f),E=[];C(e);var L=T({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":591,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/domain\":790,\"../../plots/font_attributes\":791,\"../../plots/template_attributes\":841}],1095:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":826}],1096:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),v=0,m=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(v+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(m=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(v+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?m:e.sort)&&i.sort(function(t,e){return e.v-t.v}),i[0]&&(i[0].vTotal=v),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":592,\"fast-isnumeric\":228,tinycolor2:536}],1097:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var v=c(\"hole\");if(c(\"title.text\")){var m=c(\"title.position\",v?\"middle center\":\"top center\");v||\"middle center\"!==m||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"./attributes\":1094,\"fast-isnumeric\":228}],1098:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":627}],1099:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":717}],1100:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1094,\"./base_plot\":1095,\"./calc\":1096,\"./defaults\":1097,\"./layout_attributes\":1101,\"./layout_defaults\":1102,\"./plot\":1103,\"./style\":1104,\"./style_one\":1105}],1101:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1102:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":717,\"./layout_attributes\":1101}],1103:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"./helpers\"),d=t(\"./event_data\"),g=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[p.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,g=s+t.pxmid[0]*(1-f),v=c+t.pxmid[1]*(1-f),m=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=p.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=p.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=p.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:g-f*a.r,x1:g+f*a.r,y:v,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:p.castOption(b.bgcolor,t.pts)||t.color,borderColor:p.castOption(b.bordercolor,t.pts),fontFamily:p.castOption(_.family,t.pts),fontSize:p.castOption(_.size,t.pts),fontColor:p.castOption(_.color,t.pts),nameLength:p.castOption(b.namelength,t.pts),textAlign:p.castOption(b.align,t.pts),hovertemplate:p.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[d(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[d(t,u)],event:n.event})}}),t.on(\"mouseout\",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[d(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on(\"click\",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[d(t,a)],i.click(e,n.event))})}function m(t,e,r){var n=p.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=p.castOption(t._input.textfont.color,e.pts));var a=p.castOption(t.insidetextfont.family,e.pts)||p.castOption(t.textfont.family,e.pts)||r.family,i=p.castOption(t.insidetextfont.size,e.pts)||p.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function y(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function x(t,e,r){var n,a=Math.sqrt(t.width*t.width+t.height*t.height),i=e.halfangle,o=e.midangle,s=e.ring,l=e.rInscribed,c=r.r||e.rpx1,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=1===s&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,v=[];if(!d){var m,y=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var i=Math.abs(r-e.startangle),o=Math.abs(r-e.stopangle),l=i<o?i:o;(n=\"tan\"===a?_(t,c,s,l,0):b(t,c,s,l,Math.PI/2)).textPosAngle=r,v.push(n)}};if(h||f){for(m=4;m>=-4;m-=2)y(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)y(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)y(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)y(Math.PI*(m+.5),\"rad\")}}if(g||d||h){if((n={scale:l*c*2/a,rCenter:1-l,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,n.scale>=1)return n;v.push(n)}(d||p)&&((n=b(t,c,s,i,o)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(n)),(d||f)&&((n=_(t,c,s,i,o)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(n));for(var x=0,w=0,k=0;k<v.length;k++){var T=v[k].scale;if(w<T&&(w=T,x=k),!d&&w>=1)break}return v[x]}function b(t,e,r,n,a){var i=t.width/t.height,o=T(i,n,e,r);return{scale:2*o/t.height,rCenter:w(i,o/e),rotate:k(a)}}function _(t,e,r,n,a){var i=t.height/t.width,o=T(i,n,e,r);return{scale:2*o/t.width,rCenter:w(i,o/e),rotate:k(a+Math.PI/2)}}function w(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function T(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function M(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function A(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function S(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=E(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function E(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 L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function C(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=E(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=E(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function P(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function O(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),d=u(\"value\"),v=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=p.getFirstFilled(a.text,e.pts);g(y)&&s.push(y)}d&&s.push(p.formatPieValue(e.v,m)),v&&s.push(p.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:p.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:p.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=p.getFirstFilled(a.text,e.pts);(g(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function z(t,e){var r=t.rotate,n=t.scale;n>1&&(n=1);var a=r*Math.PI/180,i=Math.cos(a),o=Math.sin(a),s=(e.left+e.right)/2,l=(e.top+e.bottom)/2;t.textX=s*i-l*o,t.textY=s*o+l*i,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),y(e,t),C(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each(function(e){var u=n.select(this),f=e[0],d=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=P(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=P(i,s),r.midangle=s,s+=l*r.v/2,n=P(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=M(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each(function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var y=[[[],[]],[[],[]]],b=!1;g.each(function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=d.index,y[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),d.pull){var w=+p.castOption(d.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var k=d.hole;if(a.v===f.vTotal){var T=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+C(a.px0,a.pxmid,!0,1)+C(a.pxmid,a.px0,!0,1)+\"Z\";k?_.attr(\"d\",\"M\"+(o+k*a.px0[0])+\",\"+(u+k*a.px0[1])+C(a.px0,a.pxmid,!1,k)+C(a.pxmid,a.px0,!1,k)+\"Z\"+T):_.attr(\"d\",T)}else{var M=C(a.px0,a.px1,!0,1);if(k){var S=1-k;_.attr(\"d\",\"M\"+(o+k*a.px1[0])+\",\"+(u+k*a.px1[1])+C(a.px1,a.px0,!1,k)+\"l\"+S*a.px0[0]+\",\"+S*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}O(t,a,f);var E=p.castOption(d.textposition,a.pts),L=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each(function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),v=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=p.castOption(t.outsidetextfont.color,e.pts)||p.castOption(t.textfont.color,e.pts)||r.color,a=p.castOption(t.outsidetextfont.family,e.pts)||p.castOption(t.textfont.family,e.pts)||r.family,i=p.castOption(t.outsidetextfont.size,e.pts)||p.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(d,a,r.font):m(d,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v).call(c.convertToTspans,t);var y,_=s.bBox(g.node());if(\"outside\"===E)y=A(_,a);else if(y=x(_,a,f),\"auto\"===E&&y.scale<1){var w=l.ensureUniformFontSize(t,d.outsidetextfont);g.call(s.font,w),y=A(_=s.bBox(g.node()),a)}var k=y.textPosAngle,T=void 0===k?a.pxmid:P(f.r,k);if(y.targetX=o+T[0]*y.rCenter+(y.x||0),y.targetY=u+T[1]*y.rCenter+(y.y||0),z(y,_),y.outside){var M=y.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,b=!0}y.fontSize=v.size,h(d.type,y,r),e[i].transform=y,g.attr(\"transform\",l.getTextTransform(y))})}function C(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}});var _=n.select(this).selectAll(\"g.titletext\").data(d.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each(function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),a=d.title.text;d._meta&&(a=l.templateString(a,d._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,d.title.font).call(c.convertToTspans,t),e=\"middle center\"===d.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}}(f):S(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")}),b&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,d,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,d,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(p.castOption(e.pull,t.pts)||0)>=(p.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(f=u.cyFinal+o(u.px0[1],u.px1[1]),(b=f-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),d=u.cxFinal+i(u.px0[0],u.px1[0]),(g=d+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(a=n?v:m,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),d=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&d.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<d.length;f++){var x=f&&d[f-1];g&&!f&&(x=g),y(d[f],x)}}}(y,d),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=t.cyFinal+t.pxmid[1],c=\"M\"+i+\",\"+s,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(i+t.labelExtraX+u):c+=\"l\"+t.labelExtraX+\",\"+h+\"v\"+(f-h)+\"h\"+u}else c+=\"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:c,fill:\"none\"})}else r.select(\"path.textline\").remove()})}(g,d),b&&d.automargin){var w=s.bBox(u.node()),k=d.domain,T=i.w*(k.x[1]-k.x[0]),M=i.h*(k.y[1]-k.y[0]),E=(.5*T-f.r)/i.w,L=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+d.uid+\".automargin\",{xl:k.x[0]-E,xr:k.x[1]+E,yb:k.y[0]-L,yt:k.y[1]+L,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}})});setTimeout(function(){u.selectAll(\"tspan\").each(function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))})},0)},formatSliceLabel:O,transformInsideText:x,determineInsideTextFont:m,positionTitleOutside:S,prerenderTitles:y,layoutAreas:C,attachFxHandlers:v,computeTransform:z}},{\"../../components/color\":592,\"../../components/drawing\":613,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plots/plots\":826,\"../bar/uniform_text\":872,\"./event_data\":1098,\"./helpers\":1099,d3:165}],1104:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each(function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each(function(t){n.select(this).call(a,t,e)})})}},{\"../bar/uniform_text\":872,\"./style_one\":1105,d3:165}],1105:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":592,\"./helpers\":1099}],1106:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1120}],1107:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=a(t.marker.color),v=a(t.marker.border.color),m=t.opacity*t.marker.opacity;g[3]*=m,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,v[3]*=m,this.pointcloudOptions.borderColor=v;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,k=b/2||.5;t._extremes[_._id]=i(_,[d[0],d[2]],{ppad:k}),t._extremes[w._id]=i(w,[d[1],d[3]],{ppad:k})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return 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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\",\"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(n.ease).duration(n.duration).attr(\"transform\",T);var z=_.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);z.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var I=z.selectAll(\".\"+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:y,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}.bind(null,t))},p);I.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(P,_,f.linkEvents),I.style(\"stroke\",function(t){return k(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return k(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}).style(\"stroke-width\",function(t){return k(t)?t.linkLineWidth:1}).attr(\"d\",y()),I.style(\"opacity\",function(){return t._context.staticPlot||v||m?1:0}).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),I.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var D=_.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);D.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),D.style(\"cursor\",function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}});var R=D.selectAll(\".\"+n.cn.sankeyNode).data(function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort(function(t,e){return t-e}),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(function(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}.bind(null,t))},p);R.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(x).style(\"opacity\",function(e){return!t._context.staticPlot&&!v||e.partOfGroup?0:1}),R.call(P,_,f.nodeEvents).call(O,I,f,t),R.transition().ease(n.ease).duration(n.duration).call(x).style(\"opacity\",function(t){return t.partOfGroup?0:1}),R.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var F=R.selectAll(\".\"+n.cn.nodeRect).data(d);F.enter().append(\"rect\").classed(n.cn.nodeRect,!0).call(w),F.style(\"stroke-width\",function(t){return t.nodeLineWidth}).style(\"stroke\",function(t){return o.tinyRGB(i(t.nodeLineColor))}).style(\"stroke-opacity\",function(t){return o.opacity(t.nodeLineColor)}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}),F.transition().ease(n.ease).duration(n.duration).call(w);var B=R.selectAll(\".\"+n.cn.nodeCapture).data(d);B.enter().append(\"rect\").classed(n.cn.nodeCapture,!0).style(\"fill-opacity\",0),B.attr(\"x\",function(t){return t.zoneX}).attr(\"y\",function(t){return t.zoneY}).attr(\"width\",function(t){return t.zoneWidth}).attr(\"height\",function(t){return t.zoneHeight});var 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=a(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=a(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=i(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),v=Math.min(d.length,g.length);if(v){e._length=v,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",v<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var m=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),m.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||m.push(\"fills\"),\"fills\"!==p(\"hoveron\",m.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/line_shape_defaults\":1135,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1153}],1156:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1157:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1158:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),a=t(\"../../lib\").fillText;e.exports=function(t,e,r,i){var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(f,p);s.yLabel=g.yLabel,delete s.text;var v=[];if(!p.hovertemplate){var m=(f.hi||p.hoverinfo).split(\"+\");-1!==m.indexOf(\"all\")&&(m=[\"a\",\"b\",\"text\"]),-1!==m.indexOf(\"a\")&&y(d.aaxis,f.a),-1!==m.indexOf(\"b\")&&y(d.baxis,f.b),v.push(\"y: \"+s.yLabel),-1!==m.indexOf(\"text\")&&a(f,p,v),s.extraText=v.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,v.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":717,\"../scatter/hover\":1131}],1159:[function(t,e,r){\"use 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n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":613,\"../../plots/cartesian/axes\":765,\"../scatter/plot\":1140}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h(\"locations\");if(p&&p.length){var d,g=h(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length}else{var v=h(\"lon\")||[],m=h(\"lat\")||[];f=Math.min(v.length,m.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":717,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1161}],1164:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1165:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":630,\"../../constants/numerical\":693,\"../../lib\":717,\"../scatter/get_trace_color\":1130,\"./attributes\":1161}],1167:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),calcGeoJSON:t(\"./plot\").calcGeoJSON,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),moduleType:\"trace\",name:\"scattergeo\",basePlotModule:t(\"../../plots/geo\"),categories:[\"geo\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/geo\":795,\"../scatter/marker_colorbar\":1138,\"../scatter/style\":1143,\"./attributes\":1161,\"./calc\":1162,\"./defaults\":1163,\"./event_data\":1164,\"./format_labels\":1165,\"./hover\":1166,\"./plot\":1168,\"./select\":1169,\"./style\":1170}],1168:[function(t,e,r){\"use strict\";var 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x=r[2*v+c],b=l(y,v),_=b[0],w=b[1];if(n(_)&&n(w)){var k=y-_,T=y+w;p[m+u[0]]=x-a.c2l(k),p[m+u[1]]=a.c2l(T)-x,p[m+u[2]]=0,p[m+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=v[p],m=v[d],y=u?u/.8+1:0,x=-m*y-.5*m;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":613,\"../../components/fx/helpers\":627,\"../../constants/interactions\":692,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../plots/cartesian/axis_ids\":768,\"../../registry\":846,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"./constants\":1173,\"./helpers\":1178,\"color-normalize\":122,\"fast-isnumeric\":228,\"svg-path-sdf\":534}],1175:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",v||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"../scatter/xy_defaults\":1146,\"./attributes\":1171,\"./helpers\":1178}],1176:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},v=n.extendFlat({},p);if(h.length||f.length){var m=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(v.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],v.color[r]=m||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;v.color[r]=y||(m?_:a.addOpacity(_,i))}}c.glText[u].update(v)}}},{\"../../components/color\":592,\"../../constants/interactions\":692,\"../../lib\":717}],1177:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1129}],1178:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1173}],1179:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var v=d&&d.gradient;v&&\"none\"!==v.type&&(f.mgt=Array.isArray(v.type)?v.type[h]:v.type,f.mgc=Array.isArray(v.color)?v.color[h]:v.color);var m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};k[t.index]=f;var T=a.extendFlat({},t,{color:i(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?T.text=f.htx:f.tx?T.text=f.tx:o.text&&(T.text=o.text),a.fillText(f,o,T),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,T),T}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),M=m.p2c(_+k),A=y.p2c(w-k),S=y.p2c(w+k);a=\"x\"===n?g.tree.range(Math.min(T,M),Math.min(y._rl[0],y._rl[1]),Math.max(T,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,M),Math.min(A,S),Math.max(T,M),Math.max(A,S))}else a=g.ids;var E=k;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=m.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,v)]},calcHover:o}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/get_trace_color\":1130}],1180:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":776,\"../scatter/cross_trace_defaults\":1126,\"../scatter/marker_colorbar\":1138,\"./attributes\":1171,\"./calc\":1172,\"./defaults\":1175,\"./format_labels\":1177,\"./hover\":1179,\"./plot\":1181,\"./select\":1183}],1181:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../lib/prepare_regl\"),c=t(\"../scatter/subtypes\"),u=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e,r){if(r.length){var f,p,d=t._fullLayout,g=e._scene,v=e.xaxis,m=e.yaxis;if(g)if(l(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var y=g.count,x=d._glcanvas.data()[0].regl;if(u(t,e,r),g.dirty){if(!0===g.error2d&&(g.error2d=i(x)),!0===g.line2d&&(g.line2d=a(x)),!0===g.scatter2d&&(g.scatter2d=n(x)),!0===g.fill2d&&(g.fill2d=a(x)),!0===g.glText)for(g.glText=new Array(y),f=0;f<y;f++)g.glText[f]=new o(x);if(g.glText){if(y>g.glText.length){var b=y-g.glText.length;for(f=0;f<b;f++)g.glText.push(new o(x))}else if(y<g.glText.length){var _=g.glText.length-y;g.glText.splice(y,_).forEach(function(t){t.destroy()})}for(f=0;f<y;f++)g.glText[f].update(g.textOptions[f])}if(g.line2d&&(g.line2d.update(g.lineOptions),g.lineOptions=g.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}),g.line2d.update(g.lineOptions)),g.error2d){var w=(g.errorXOptions||[]).concat(g.errorYOptions||[]);g.error2d.update(w)}g.scatter2d&&g.scatter2d.update(g.markerOptions),g.fillOrder=s.repeat(null,y),g.fill2d&&(g.fillOptions=g.fillOptions.map(function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=g.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(g.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var v=s._nexttrace;if(v){var m=g.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=g.lineOptions[e-1].positions,w=p.length/2,k=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(k.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=k}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}}),g.fill2d.update(g.fillOptions))}var k=d.dragmode,T=\"lasso\"===k||\"select\"===k,M=d.clickmode.indexOf(\"select\")>-1;for(f=0;f<y;f++){var A=r[f][0],S=A.trace,E=A.t,L=E.index,C=S._length,P=E.x,O=E.y;if(S.selectedpoints||T||M){if(T||(T=!0),S.selectedpoints){var z=g.selectBatch[L]=s.selIndices2selPoints(S),I={};for(p=0;p<z.length;p++)I[z[p]]=1;var D=[];for(p=0;p<C;p++)I[p]||D.push(p);g.unselectBatch[L]=D}var R=E.xpx=new Array(C),F=E.ypx=new Array(C);for(p=0;p<C;p++)R[p]=v.c2p(P[p]),F[p]=m.c2p(O[p])}else E.xpx=E.ypx=null}if(T){if(g.select2d||(g.select2d=n(d._glcanvas.data()[1].regl)),g.scatter2d){var B=new Array(y);for(f=0;f<y;f++)B[f]=g.selectBatch[f].length||g.unselectBatch[f].length?g.markerUnselectedOptions[f]:{};g.scatter2d.update(B)}g.select2d&&(g.select2d.update(g.markerOptions),g.select2d.update(g.markerSelectedOptions)),g.glText&&r.forEach(function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)})}else g.scatter2d&&g.scatter2d.update(g.markerOptions);var N={viewport:function(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}(d,v,m),range:[(v._rl||v.range)[0],(m._rl||m.range)[0],(v._rl||v.range)[1],(m._rl||m.range)[1]]},j=s.repeat(N,g.count);g.fill2d&&g.fill2d.update(j),g.line2d&&g.line2d.update(j),g.error2d&&g.error2d.update(j.concat(j)),g.scatter2d&&g.scatter2d.update(j),g.select2d&&g.select2d.update(j),g.glText&&g.glText.forEach(function(t){t.update(N)})}else g.init()}}},{\"../../lib\":717,\"../../lib/prepare_regl\":730,\"../scatter/link_traces\":1136,\"../scatter/subtypes\":1144,\"./edit_style\":1176,\"gl-text\":319,\"regl-error2d\":492,\"regl-line2d\":493,\"regl-scatter2d\":499}],1182:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},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 a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else c[h].length||o.draw(h);s[h]&&r.textOptions[h]&&s[h].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach(function(t){t.destroy&&t.destroy()}),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,a),r}},{\"../../lib\":717}],1183:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),a=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,i=[],o=r[0].trace,s=r[0].t,l=o._length,c=s.x,u=s.y,h=s._scene,f=s.index;if(!h)return i;var p=n.hasText(o),d=n.hasMarkers(o),g=!d&&!p;if(!0!==o.visible||g)return i;var v=[],m=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(v.push(y),i.push({pointNumber:y,x:c[y],y:u[y]})):m.push(y);if(d){var x=h.scatter2d;if(v.length||m.length){if(!h.selectBatch[f].length&&!h.unselectBatch[f].length){var b=new Array(h.count);b[f]=h.markerUnselectedOptions[f],x.update.apply(x,b)}}else{var _=new Array(h.count);_[f]=h.markerOptions[f],x.update.apply(x,_)}}return h.selectBatch[f]=v,h.unselectBatch[f]=m,p&&a(r),i}},{\"../scatter/subtypes\":1144,\"./edit_style\":1176}],1184:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/mapbox/layout_attributes\":822,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120,\"../scattergeo/attributes\":1161}],1185:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),h=t(\"../../plots/mapbox/convert_text_opts\"),f=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function v(t){return a.isArrayOrTypedArray(t)?function(t){return t}:t?function(){return t}:m}function m(){return\"\"}function y(t){return t[0]===i}e.exports=function(t,e){var r,i=e[0].trace,x=!0===i.visible&&0!==i._length,b=\"none\"!==i.fill,_=u.hasLines(i),w=u.hasMarkers(i),k=u.hasText(i),T=w&&\"circle\"===i.marker.symbol,M=w&&\"circle\"!==i.marker.symbol,A=g(),S=g(),E=g(),L=g(),C={fill:A,line:S,circle:E,symbol:L};if(!x)return 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s=n.extendFlat({},o.matrixOptions,o.viewOpts);o.matrix.update(s,null)}}},{\"../../lib\":717,\"../scatter/colorscale_calc\":1123,\"../scattergl/convert\":1174}],1220:[function(t,e,r){\"use strict\";r.getDimIndex=function(t,e){for(var r=e._id,n={x:0,y:1}[r.charAt(0)],a=t._visibleDims,i=0;i<a.length;i++){var o=a[i];if(t._diag[o][n]===r)return i}return!1}},{}],1221:[function(t,e,r){\"use strict\";var n=t(\"./helpers\"),a=t(\"../scattergl/hover\").calcHover;e.exports={hoverPoints:function(t,e,r){var i=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,c=s.c2p(e),u=l.c2p(r),h=t.distance,f=n.getDimIndex(i,s),p=n.getDimIndex(i,l);if(!1===f||!1===p)return[t];for(var d,g,v=o[f],m=o[p],y=h,x=0;x<v.length;x++){var b=v[x],_=m[x],w=s.c2p(b)-c,k=l.c2p(_)-u,T=Math.sqrt(w*w+k*k);T<y&&(y=g=T,d=x)}return t.index=d,t.distance=y,t.dxy=g,void 0===d?[t]:[a(t,v,m,i)]}}},{\"../scattergl/hover\":1179,\"./helpers\":1220}],1222:[function(t,e,r){\"use strict\";var 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e,r,a,i,s,l,c,u,h,f,p,d,g=t._x,v=t._y,m=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,k=-1/0,T=1/0,M=\"\";for(y&&(c=g[0],h=v[0],p=m[0]),y>1&&(u=g[y-1],f=v[y-1],d=m[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,v[e]),w=Math.min(w,v[e]),k=Math.max(k,m[e]),T=Math.min(T,m[e]),i||g[e]===c||(i=!0,M+=\"x\"),s||v[e]===h||(s=!0,M+=\"y\"),l||m[e]===p||(l=!0,M+=\"z\");i||(M+=\"x\"),s||(M+=\"y\"),l||(M+=\"z\");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(h>f?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var L=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?g:\"y\"===t?v:m},P=function(t){return\"x\"===t?A:\"y\"===t?S:E},O=function(t){return t[y-1]<t[0]?-1:1},z=C(M[1]),I=C(M[3]),D=C(M[5]),R=P(M[1]).length,F=P(M[3]).length,B=P(M[5]).length,N=!1,j=function(t,e,r){return 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":805,\"./attributes\":1226,\"./calc\":1227,\"./convert\":1228,\"./defaults\":1229}],1231:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.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:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},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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n=t(\"../../plots/plots\");r.name=\"sunburst\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":826}],1233:[function(t,e,r){\"use strict\";var n=t(\"d3-hierarchy\"),a=t(\"fast-isnumeric\"),i=t(\"../../lib\"),o=t(\"../../components/colorscale\").makeColorScaleFuncFromTrace,s=t(\"../pie/calc\").makePullColorFn,l=t(\"../pie/calc\").generateExtendedColors,c=t(\"../../components/colorscale\").calc,u=t(\"../../constants/numerical\").ALMOST_EQUAL,h={},f={};r.calc=function(t,e){var r,l,h,f,p,d,g=t._fullLayout,v=e.ids,m=i.isArrayOrTypedArray(v),y=e.labels,x=e.parents,b=e.values,_=i.isArrayOrTypedArray(b),w=[],k={},T={},M=function(t){return t||\"number\"==typeof t},A=function(t){return!_||a(b[t])&&b[t]>=0};m?(r=Math.min(v.length,x.length),l=function(t){return M(v[t])&&A(t)},h=function(t){return String(v[t])}):(r=Math.min(y.length,x.length),l=function(t){return M(y[t])&&A(t)},h=function(t){return 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0},{\"../../components/color\":592,\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841}],1244:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":600}],1245:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-homography\"),o=t(\"ndarray-fill\"),s=t(\"../../lib\").isArrayOrTypedArray,l=t(\"../../lib/gl_format_color\").parseColorScale,c=t(\"../../lib/str2rgbarray\"),u=t(\"../../components/colorscale\").extractOpts,h=t(\"../heatmap/interp2d\"),f=t(\"../heatmap/find_empties\");function p(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 d=p.prototype;d.getXat=function(t,e,r,n){var a=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},d.getYat=function(t,e,r,n){var a=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},d.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},d.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),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<g.length;r++){var n=g[r];e.push(v(t,n))}return e}function y(t){for(var e=m(t),r=t,n=0;n<g.length;n++)if(e[n]>0){r=g[n];break}return r}function x(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<g.length;i++)a*=Math.pow(g[i],Math.max(r[i],n[i]));return a}}d.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=b[9],w=b[13];function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=x(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>w;)r--,r/=y(r),++r<_&&(r=w);var n=Math.round(r/t);return n>1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),c=1+n+1,u=1+o+1,h=a(new Float32Array(c*u),[c,u]),f=0;f<t.length;++f){this.surface.padField(h,t[f]);var p=a(new Float32Array(s*l),[s,l]);i(p,h,[e,0,0,0,r,0,0,0,1]),t[f]=p}},d.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},d.update=function(t){var e,r,n,i,s=this.scene,p=s.fullSceneLayout,d=this.surface,g=t.opacity,v=l(t,g),m=s.dataScale,y=t.z[0].length,x=t._ylength,b=s.contourLevels;this.data=t;var _=[];for(e=0;e<3;e++)for(_[e]=[],r=0;r<y;r++)_[e][r]=[];for(r=0;r<y;r++)for(n=0;n<x;n++)_[0][r][n]=this.getXat(r,n,t.xcalendar,p.xaxis),_[1][r][n]=this.getYat(r,n,t.ycalendar,p.yaxis),_[2][r][n]=this.getZat(r,n,t.zcalendar,p.zaxis);if(t.connectgaps)for(t._emptypoints=f(_[2]),h(_[2],t._emptypoints),t._interpolatedZ=[],r=0;r<y;r++)for(t._interpolatedZ[r]=[],n=0;n<x;n++)t._interpolatedZ[r][n]=_[2][r][n];for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null==(i=_[e][r][n])?_[e][r][n]=NaN:i=_[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null!=(i=_[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null!=(i=_[e][r][n])&&(_[e][r][n]-=this.objectOffset[e]);var k=[a(new Float32Array(y*x),[y,x]),a(new Float32Array(y*x),[y,x]),a(new Float32Array(y*x),[y,x])];o(k[0],function(t,e){return _[0][t][e]}),o(k[1],function(t,e){return _[1][t][e]}),o(k[2],function(t,e){return _[2][t][e]}),_=[];var T={colormap:v,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacity:t.opacity},M=u(t);if(T.intensityBounds=[M.min,M.max],t.surfacecolor){var A=a(new Float32Array(y*x),[y,x]);o(A,function(e,r){return t.surfacecolor[r][e]}),k.push(A)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(w<k[0].shape[0]||w<k[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(k[0].shape[0],0),this.dataScaleY=this.estimateScale(k[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(k)),t.surfacecolor&&(T.intensity=k.pop());var S=[!0,!0,!0],E=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var L=t.contours[E[e]];S[e]=L.highlight,T.showContour[e]=L.show||L.highlight,T.showContour[e]&&(T.contourProject[e]=[L.project.x,L.project.y,L.project.z],L.show?(this.showContour[e]=!0,T.levels[e]=b[e],d.highlightColor[e]=T.contourColor[e]=c(L.color),L.usecolormap?d.highlightTint[e]=T.contourTint[e]=0:d.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=L.width,this.contourStart[e]=L.start,this.contourEnd[e]=L.end,this.contourSize[e]=L.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),L.highlight&&(T.dynamicColor[e]=c(L.highlightcolor),T.dynamicWidth[e]=L.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]})(v)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=k,d.update(T),d.visible=t.visible,d.enableDynamic=S,d.enableHighlight=S,d.snapToData=!0,\"lighting\"in t&&(d.ambientLight=t.lighting.ambient,d.diffuseLight=t.lighting.diffuse,d.specularLight=t.lighting.specular,d.roughness=t.lighting.roughness,d.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(d.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),g&&g<1&&(d.supportsTransparency=!0)},d.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new p(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":604,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../lib/str2rgbarray\":740,\"../heatmap/find_empties\":1006,\"../heatmap/interp2d\":1009,\"gl-surface3d\":318,ndarray:452,\"ndarray-fill\":442,\"ndarray-homography\":444}],1246:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports=function(t,e,r,l){var c,u;function h(r,n){return a.coerce(t,e,o,r,n)}var f=h(\"x\"),p=h(\"y\"),d=h(\"z\");if(!d||!d.length||f&&f.length<1||p&&p.length<1)e.visible=!1;else{e._xlength=Array.isArray(f)&&a.isArrayOrTypedArray(f[0])?d.length:d[0].length,e._ylength=d.length,n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],l),h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),[\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"hidesurface\",\"connectgaps\",\"opacity\"].forEach(function(t){h(t)});var g=h(\"surfacecolor\"),v=[\"x\",\"y\",\"z\"];for(c=0;c<3;++c){var m=\"contours.\"+v[c],y=h(m+\".show\"),x=h(m+\".highlight\");if(y||x)for(u=0;u<3;++u)h(m+\".project.\"+v[u]);y&&(h(m+\".color\"),h(m+\".width\"),h(m+\".usecolormap\")),x&&(h(m+\".highlightcolor\"),h(m+\".highlightwidth\")),h(m+\".start\"),h(m+\".end\"),h(m+\".size\")}g||(s(t,\"zmin\",\"cmin\"),s(t,\"zmax\",\"cmax\"),s(t,\"zauto\",\"cauto\")),i(t,e,l,h,{prefix:\"\",cLetter:\"c\"}),e._length=null}}},{\"../../components/colorscale/defaults\":602,\"../../lib\":717,\"../../registry\":846,\"./attributes\":1243}],1247:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:{min:\"cmin\",max:\"cmax\"},calc:t(\"./calc\"),plot:t(\"./convert\"),moduleType:\"trace\",name:\"surface\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},{\"../../plots/gl3d\":805,\"./attributes\":1243,\"./calc\":1244,\"./convert\":1245,\"./defaults\":1246}],1248:[function(t,e,r){\"use strict\";var n=t(\"../../components/annotations/attributes\"),a=t(\"../../lib/extend\").extendFlat,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../plots/domain\").attributes;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=i({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:[]},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:a({},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:a({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[]},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:20},align:a({},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:a({},o({arrayOk:!0}))}},\"calc\",\"from-root\")).transforms=void 0},{\"../../components/annotations/attributes\":575,\"../../constants/docs\":688,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/domain\":790,\"../../plots/font_attributes\":791}],1249:[function(t,e,r){\"use strict\";var n=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\");r.name=\"table\",r.plot=function(t){var e=n(t.calcdata,\"table\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"table\"),i=e._has&&e._has(\"table\");a&&!i&&n._paperdiv.selectAll(\".table\").remove()}},{\"../../plots/get_data\":800,\"./plot\":1256}],1250:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap;e.exports=function(){return n({})}},{\"../../lib/gup\":715}],1251:[function(t,e,r){\"use strict\";e.exports={cellPad:8,columnExtentOffset:10,columnTitleOffset:28,emptyHeaderHeight:16,latexCheck:/^\\$.*\\$$/,goldenRatio:1.618,lineBreaker:\"<br>\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" \",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1252:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"../../lib/extend\").extendFlat,i=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,a=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),a=Math.max(a,r[e].length);if(n!==a)for(e=0;e<r.length;e++){var i=a-r[e].length;i&&(r[e]=r[e].concat(c(i)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function u(t){return t.calcdata.columns.reduce(function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e},0)}function h(t,e){return Object.keys(t).map(function(r){return a({},t[r],{auxiliaryBlocks:e})})}function f(t,e){for(var r,n={},a=0,i=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((i+=r)>=e||c===t.length-1)&&(n[a]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},a+=i,s=c+1,i=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:v.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-v.y[1]),size:t._fullLayout._size,width:m,maxLineWidth:L,height:y,columnOrder:A,groupHeight:y,rowBlocks:T,headerRowBlocks:k,scrollY:0,cells:a({},e.cells,{values:r}),headerCells:a({},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:A[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}})};return C.columns.forEach(function(t){t.calcdata=C,t.x=u(t)}),C}},{\"../../lib/extend\":708,\"./constants\":1251,\"fast-isnumeric\":228}],1253:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var 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n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\"),o=t(\"../../components/drawing\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../../lib\").raiseToTop,c=t(\"../../lib\").cancelTransition,u=t(\"./data_preparation_helper\"),h=t(\"./data_split_helpers\"),f=t(\"../../components/color\");function p(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function d(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function v(t){return[].concat.apply([],t.map(function(t){return t})).map(function(t){return t.__data__})}function m(t,e,r){var o=t.selectAll(\".\"+n.cn.scrollbarKit).data(i.repeat,i.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),o.each(function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return 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n=a.event.y,i=this.getBoundingClientRect(),o=r.scrollbarState,s=n-i.top,l=a.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||S(e,t,null,l(s-o.barLength/2))(r)}).call(a.behavior.drag().origin(function(t){return a.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t}).on(\"drag\",S(e,t)).on(\"dragend\",function(){})),u.attr(\"y2\",function(t){return t.scrollbarState.scrollableAreaHeight}),e._context.staticPlot&&(c.remove(),u.remove())}function y(t,e,r,s){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(h.splitToCells,function(t){return t.keyWithinBlock});return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(i.repeat,i.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each(function(t,e){var 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var g=d.width,v=d.height,m=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,k=d.handleSlicesExit,T=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\"left\"),C=-1!==E.textposition.indexOf(\"right\"),P=-1!==E.textposition.indexOf(\"bottom\"),O=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,z=s(r,[g,v],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),I=1/0,D=-1/0;z.forEach(function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(I=Math.min(I,e),D=Math.max(D,e))}),p=p.data(z,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-I+1:0,p.enter().append(\"g\").classed(\"slice\",!0),k(p,!1,{},[g,v],x),p.order();var R=null;if(w&&A){var 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A=a.ensureSingle(d,\"g\",\"slicetext\"),z=a.ensureSingle(A,\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),I=a.ensureUniformFontSize(t,u.determineTextFont(E,s,S.font));z.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",C?\"end\":L||p?\"start\":\"middle\").call(i.font,I).call(o.convertToTspans,t),s.textBB=i.bBox(z.node()),s.transform=b(s,{fontSize:I.size,isHeader:p}),s.transform.fontSize=I.size,w?z.transition().attrTween(\"transform\",function(t){var e=M(t,!1,B(),[g,v]);return function(t){return _(e(t))}}):z.attr(\"transform\",_(s))}),R}},{\"../../components/drawing\":613,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../sunburst/fx\":1236,\"../sunburst/helpers\":1237,\"../sunburst/plot\":1241,\"./constants\":1260,\"./partition\":1267,\"./style\":1269,d3:165}],1264:[function(t,e,r){\"use 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",
+        "encoding": "base64",
+        "path": [
+         "_data",
+         0,
+         "x",
+         "buffer"
+        ]
+       },
+       {
+        "data": 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",
+        "encoding": "base64",
+        "path": [
+         "_data",
+         0,
+         "y",
+         "buffer"
+        ]
+       },
+       {
+        "data": 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+        "encoding": "base64",
+        "path": [
+         "_data",
+         0,
+         "z",
+         "buffer"
+        ]
+       }
+      ],
+      "model_module": "plotlywidget",
+      "model_module_version": "^4.8.0",
+      "model_name": "FigureModel",
+      "state": {
+       "_config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
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diff --git a/Tuto-GUDHI-cubical-complexes.ipynb b/Tuto-GUDHI-cubical-complexes.ipynb
index a98b47b..ec39dc6 100644
--- a/Tuto-GUDHI-cubical-complexes.ipynb
+++ b/Tuto-GUDHI-cubical-complexes.ipynb
@@ -81,7 +81,7 @@
    "outputs": [
     {
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+DWlcnmZNb1K9StJoh1XT7J0a2wBqqGVVZqLGA+c2g6pXh32mPhCrP1g/g+mhK4rqYTt/9lcN++T9E15N1lqvP6jMhhnIyM3R33cGri4Y7KMbB+QlL1q/Xyippq3ZLWbiZCf646fLlaG0XdkuDDUtGdcrbZHjdNt5TbPnnVUNytSf/VXJKnxP05WEwiZ8Pf53sC4lBq4MLlWSPZj70ZNRHWiRiN5nwWofLrWcgSsPHnrpTyZXr4iIPxdyFzS+jLzOUGGgBv2aDbkAwMG6M7BZzVhb6oa7sU1VOrw/GRGhI0Xy4oVFKSJswvuK9odhnzZdx6Aklhymos/1vtPbxldBS3unJnlGTCjezLu/JsO8Mbj8/8qtVXh8Y0Wf3rVyr1oDVxa8ITTvASqzWxJjw1D8yB0atgp9TyGanA0fiI5G8jJ8f1elnRiI1R+sn8H00HdWNSgJP98pEiCKol8lRugveWp4U1cGwap1gwmlyYluve3xJJW8rt72ZKkHOcw2UA+9v2ITucnBV0nWGxg8DPQ6Bwur0mclB+o1z1h/RYxDBVzPHrrX14ntVQ0oWDwT986I7TNSynKW9FkwOdurcqS9xuFubNMkoQYCug96nrrL04yHXivHwbozCHR1i1kZ0Ndz5p9F2q3CWyM6qsvTLGZslPSi/esJtvHZgwzaLs0IeZd5AJrEnIEri4G+x8ESornzpqKlvRO/2fMx2s93Aej7HJNnftXWnQzE6g/Wz2DTFuX/hzNpYaAvgnno/dG79DxhWudbBf8tPCe5XDuYxy3TTbOLXELGgcdT9eLrfHt6x8T/1ku0U/6GZiTBtmVg+MHvoUys4MnU4bIpuBGSojIGMg03MPzoz5gHS1j2p7JJ63GNDR5u4Wyn9094layXyjSGl4dj+N/8ePi+gql58uXlZsGXUvn8utfMwOBBDpPx/4e718GQGHQA/wbgIwDHAGwCMKq/5a+kQTc88usDejLHBG5UZfaKLLxERpP+zy5yCTobNfnl2+JeNDfoZIAXrd+vMcbywCJTY7lKn16O51LxevnzwW6YYCA49PIkw9245oobdAA3A6gDMLrn/y0AHu5vnSvtoRsP+7UN2aAFm+KebjsvDGwwYycb0uwil/DMg0mfyv/zKTcNAnozAwrlED02u8ilzM7fHVTmOdi50/r9dc8ynJbhwXBf84Ea9MtNipoBjDaZTGYAoQAaLnN7l4WrMklxHWGwKXj9UQQB/R6QlMj0nPbhme0qTU1ORALQ/B/tsGLZnDh8cfZLofUhJ8w55AS6M8aBNx6dg8TYMPGdu7FNLJMYG4YVGU5YzOrrlLcgCW88OgfOGIfm+GmfcqKYzun4qTbUef0AoEnW8uMiDaFg19HAlcG1Ylu+tkFXFOULAL8B8BmARgDnFEXZLS9nMpmWm0ymgyaT6aDX6/36R2pgWDHYMgfy9shYUel1MElS4hpPjXFA6dGVI555MLg8zdhScRJr7k8WbQtzSyp1WTIyd5xEmzhvWS4jJxmJxWkTkb+jWqh85m07JtQ6aR+0rsvT3OecbomyY0vFSSyfG4+CvSfEMu7GNuSWVIrj6o8bb+DGxtdWWzSZTBEA/gRgCYCzAP4PgK2KomwMts5gqS0aGB4MdjGFvD0yTjnpcUJ7Xk8mGVCNeP6OaqzIcOKJTYdw27gwFCxNFcvy3pLLXi1HzE2jED56JPIWJAEA8ndU68oh55ZUwmIOwfK58Sh21SMrZTx+vu0o3nrsTqGDnbftGLJSxmP2lDEaPf38HdUIdHXjqfkJSHdGweVpxpMllXjj0TliQNDrO8vVQUnZj9Z9cWkq1u2pwSfedrz12J2agUWvB66B6xMDVVu8nJDLPAB1iqJ4FUW5AODPAP7uMrZn4CpEf6EJvsxXrYqUpUtp+7nzpqKorBaPb6yAu7FNeNN82+TRWswhiLBZcEuUHXkLktDSrvLFqQKUGp689GAqwkePxIWL3cjfUQ0AKFiailWZifA0+ZBbUqk5Nm7Mt1ScxC3Rdo1BzkmPw/YqNbqYkx4nQj8XLqrib0VltfD6OuGMcWBypE1zzACQ7ozqY8wBiOYr7sY2OGMcSOjR5LaPMuP32bOEdDMXkKJj4h67gRsXl2PQPwNwp8lkCjWZTCYA/wjg+OAcloGrAQOZzrs8zcLokjHV2w43+HKIg+8jMTYMy+fG49MWNZa8KjMRFnOIJqySv1ANnZB3bR+l9mkhDznSbhXl/V5fJ9KdUShYmop/m5cAAFhb6oanyYf8HdX4l40VqG5oE6XeFy52wxnjQO68qdhe1YBVmYlYvyxNHLe7sU0YewBYt6cGh+pbUef1w2Y1I39hskZ1zz7KjFZ/oE8snWvyuxvbhIonqX8Caiy+2FWP5XPjke6M0sTsuUooH8C+SvjFGASuQwwkcxrsB8CzANxQaYtvALD2t/yVZrkYuDwEK+oJ9psKc94/4dXlcNNyRAvUE8rS27YsqnS84Zzy3Zf3i21wTrBMVeyvKIjW5ep72UUu5ZX/51Fm5+9WdlY1KKnP7lJ2VjVoGC2cxfLwhnJlZ1WDKEiiYwtGKSSGDKcxcqaKzJ3nx60oSp+O83wbvMBKbmYsXwO9a8L58cPN4jDQPzBAlstltaBTFOU/APzH5Q4qBoYfVN4e6OqGxRwi2nbJ3Z2opRe13St+5A4hgNTS3olAV3efTjG8kwwPD9A2eWw6Jz0OT5ZUYs39KpuDvNZarx8vPajGyEnHnsr6yfPVaw9I57UqMxHt57tQuM+j7rsnlr4iw4mislpMiBiN8NCRmBRpw0+3HYFJAdZ/Lw1FZbU43XYe4aEWrMhwIsJmQWJsGMJDR4rzXpPVtwzc6+uEp8kHZ4wDN4ePRuE+DyJsFs0xUzI1d95UsT71rgXUZOjqdz7CY38/pU8rNUog0/UpdtVret7S+tSOkUJG1G2L7pV8DQ1c27gmtVwMDD7I8FJsWVanpDAHAE0IgQyM19cp2B0cZLwpjMBZHTRA8H1E2Cy4OXw0fr79KPJ3VCN33lSkO6Pw0oNqv9fCfR7Rx5Fi33J8nY575dYqQf9r9QdgH2XGsjlxsJhDUOf1I/vVAyjc58HyufEwh4SgqKwWq755K55fOANJ42+CM8aBzKRxqDndjvtnjEdRWa3QkCnc5xH74deKjmf5Hz9Ezuuqap/FHIJAlxq/zy2pREt7pwhNUQgFUI3591//AI8VfyiarKy+bxr+q2dQoX0Te4aMtR49ku5HTnoc1pa6xbXIX5gMT5NPc68MY379wDDoNxj6i5vyzi+cQujyNIvvls+Nx4q3Dgk6nruxTXCyaUDgQlhkvLnBob8j7Vbh0RMK9p7Ar74zA2/94E7kLUgSvRyLXfXwNPngbmxDhM0imvZSUpMGBe7tAmqnmeVz41FUVovFaROxpeIkMpPGqcnOnmSqM8YB+ygzFqdNROE+D7ZUnBRJ1rePNGBabBhSJoVjVWYiVmUmotUfgLuxTRw3ccN5ojLUYsbvlqRi9pQxIra+IsOJQFc3ntl+DNmvHMATb1Zo7oUzxoFpsWGwWXsnzvfOiMWLS1MxNmyU8NBz500Vnj0AzcBFAyb9H2Gz4IVFKaJhsqfJh9zNh7E4bSIKlqYaCdXrDIZBv4HAk3Ayc4S+578L9p5AVsp45G4+LAxVhM2Ci1BQuM8Dl6cZ2a8eQPYrB4RR54wNWX2QvGagt7gm0NWtSeSRxxpptwqPlHuiEyNtiLRbxWxhbakbx0+pSU3ySmlbNKgUldXitK8TG8vr0eoPYO1ut8oZ79lXS3snVmUmYkvFSVy42I3lc+PFtgE1MZu/o1r8rNtTg/hoO4DeAYvYL2tL3dh+6HMAwJRoG6IdVjH4FJXVwmIOwZqsZPxi4XSMHBEimDk0IP3qOzOEoSWkO6NEg3Kvr1OESegY2893ac6bZlM00wJ6u9VH2CwoWDJTsHT4M8EHJAPXJgyDfgOBi/h/fMqn8Yz5i01GN39hMqZE2zRx8ki7FS9np6FgaSrSnVF46wd3Co42bYdLjupJGXuafMjZ8IHw8muafDhYd0ZD7SNw+duDdWfw+ZkOeJp8iHZYkbcgSfXWv5GI1e98BE+TD4GubniafBpDuzhtIhrPfYllc+Lwq+/MwC1Rdmwsr0f+jmpsLv8MORs+AKAabkUBCvd5kL+jWnixETYLLOYQrMhwiorQR+6a0iceXlRWi8bWL/GLd91o6RlcqJ+tyD0sTUWk3YotFSf7nCsNXnS9eGXp2lI3nnizAo8Vf4jckkoRciEWDg0anNZIx0fXiww8hWgIdH05M4g/FwauHXztwqKvA6OwaPjgbmwTVZKUpCQjzJcBVPpfwdJUtLR3ImfDB3hqXgKWzJmk8bD1GuLSoEDhGm7kc0sqUbA0FZ4mH9KdUYIj7vI041/fqsC02JuwIsOJdGeUhtZH+3A3tuGh18rxk/m3Yl+NFznpcSLJCEAkICmuTtsiY9jqD8BmNYviIzJ6td52PLdwOu6dESuWXT43Hs/9tRqnfZ14cWmqSMIW7vPgwsVuBLq68VlrB26JsgtKY7TDinePNGJKtA1P/+kIfvWdGSIJTNeelqMCIr0kcU56HADVmwcgwkXL58Zjbakb9S1+jA0bhfHho7F8bry4BrzAqdUfEAlSl6cZD//hQ/zh4ds115bOVb6X8jWn5LcRZx9eDLSw6LJYLgauXsgvZs6GD1CwZCYACKPKl6NwRaCrW2xDdFF/5yOEjR6J2VPGiMGAQiryvuQQS7TDKpKAB+vOYPU7H2k8/nRnFEoeS0ed149iV70aEpCMCIUZEmIcSJkUjrDRI/H4W4dgAvD77Fko3OcRVZ95C5KQv6NasEoK9p7A8rnxONtxARvL6zXnnr8wGfk7qjF7yhhhvBanTQQANLadxy+ypiPdGSVYJwAwcoQaMmn1B1BUVouDdWewpeIkFqdNRO6WwyhYPBO/+s4MEfsHIEJGNFgUldUi0NWNFRlOAL1GPic9Duv21ODTFj9e7JkZrC11w9/ZhQibBRE2Cx68fRKe33Ucuf+YgMJ9HjVBmz0LufOmIm/bMVy42I3qxjb8bkkq7p0RC2eMQ2PM6XrSjIHvX48hk5Me16eal9YxcPVhxOrVq4dsZ0VFRauXL18+ZPu7UUGe8pz4SNisZkQ5rJg7NQqpcRGIcVjxZEkl7p4aDQUQy0U7rLjLGYXM5FhkJvd2gYq5aRRm3HwTNuyvw3/XeDFrUgSe/vNR/GH/p7g7Qd3Gyq1ViHFY8atSN2ZNikAUozrOiY9EqMWMg/WteGRuPL45bZzGc+8IXERD65d4+s9H8XRmIlLjIsTxAKpheX6nG/ckjoUz2o5f7jyODz49g+ieZGfalDH4m/s0VmUmItRiRlykDdPGh+FAbQuyZt6MlAk34Te7P0bJwZMwmYA/HfoCEyNC8fJ/f4JbYxzIvlP1iJ/f6RZl/jVNPkSEWvDYP9wCm9Usfu5OiEZmciziIm0YNXIEpkTa8L+3HoHdasYDsybgzimR2FJxEvs9zbCOCEHu5sO4Y/IYLJo9EaEWM/5y6AscbTiH5XPj8Z6nGRs/qIfL04IZE27C6rc/gqu2BSNCTPiP+6Yh3RkFBcCsSRF4z9OMf0iIRtbMmxE2eiT+VPE5fnB3PP4hIRoffnoGh0+exaSIUPzl8Bf4xcLpyLh1LLZXNcA51o7nd7qRkTgWze2dWP32R9hW+QVujXGg4rNW/L0zSg3BjLVj9dsfIXGcA8/vdMM51o78HdWiYpaeI5qh7aluwl3OKPEZT+LKz2Gw7wx8NTz77LONq1evLrrUckbI5TpFMH0PHv7Q88zkmOnKrVVYPjceT2w6hN8/OAsRNguyXzmAX/SEKWh7gFplabOaxRSewip6x+NubBNl+ACEtyqHXCiUEGm3IrekEse+OAcA+FGGE6+8Vyca/nJtF2eMQxPScDe24ek/HcHIEWrse3tVA7JSxovZAtCbNHzizQqsyVLjy3JISqZHUnyaZgK586ai1R8AoHLlMxKisa/GK46ftk3ee53Xjy0VJ/vw5yl8s7G8HnkLkvDM9mMYOSIEeQuSEGm34p83fIDfLE4R1yTQ1S1YOvfOiAWgUiAjbBYxkwCAzKRxWLvLjUmRNvzqgeknF5xAAAAgAElEQVSC/0/3mY6jpb0TD71WLmYJcmiIjpEMPK2np8tjhGsGB0bI5QYFGVFZ7IlAyUT+P4Fe0FZ/QEMNBFQlQAo93BYbhtlTxvTZHq3HY7S8QInvh+K3VNhztuOCCFmQkeMsGa+vEwVLU3Gw7gw27K/D/toWFCyZKYxS/o5qHP3iHB5/swIxjlGIdFhFGCbSboXNakagqxuzp4zB7CljEO2wIjx0JABg2avl2PiDOWK5Vn+gj3gWAE3+gPIEtFzuvKl4Zvsx1Jz2YWq0A0/NTxCx92e2H8N3Uiegtkcal4e38hYk9RlYXZ5mPLm5EqMtIWj1BzByRAguXFT7qN4VHwl3k8pIWb8sTXMvC/aewOwpY9DS3ol/fasCSreC5JvDkbcgSZzTqm8m4te7PxYDD4Eb5WiHFWvuTxahIRIrKyqr7ZM7IdqpHCbj987A0MEw6Ncw9LzenA0fCK/18Y0V+LTFL9T+yHBwpUH5hVucNhHPvH1MGGLiL5PWd7TDqqHVkXFq9QfwWWsHbhunaoOv21MjxLBkGh4ATfUoHQcZWDISZFw4dXF7VYOg5XHjQbHz2+MisP6/P8GitAn4+4Rocc40cPBrRwb31nG9MXIKM1DDYKDXeyXqIL+ONLOItFsxckQIJoSPhsUcIvRgWv0BHKpvxfHGNrzwnd5m0sSJp2Ph3my6MwovLknFlGgbEmPDxED6t+om/GbPx7g1Rh0wAK1qJHHwW9o7kTBWlRcmY15UVovMpHFYMmcSwkaPRLGrHkBv8pVX/wIQOjY0+6FYvgyLOeQrVZsGmzkaGBwYtMVrCDKdTOYNJ8aGCWMOqMJQL/bQ5IjrTUZqVWZin8Fg5dYqbKk4iRd7KIkAhMElhooMKjaKsFnw+wdnIW9BEgr3eeA53Q6TSf8cqFqSKhgJZzsu4EebKnGu44LgVXPRKk5hlKsiE2PDkLcgCVVfnMPKb9yK/yqrRf6OasG5X7enRsw4qBCHCnRWZDixttSN3JJKtQJ13lTUef3I2aBWenIvlOBp8qG6oQ3r9tRg5dYqlSq5IAnRjlFYkeEUyztjHFiR4cRIcwjCQ0cib9sxvHukEavf+UilRe49ISo4+Tltr2rQMGM8TT78Zs/HWHN/Mv79n5JQVFaLlvZOIdNAISca/NZkJQsGzhObDqGhtQN5b6v73lJxUsgFLE6biBcWpWiaiXARMHoGls+Nh81q7tN4gwZj2UjT8yRX0Bra7VcWhod+jUD24nghi0xDJI+Se+BEaaOpfqRdS6cjBkaEzaK7T0+TDw//4UMULJ4pvGTOvyZFQKBXJ4W2TUaAvMePT6kDA5/muxvbkLf9GP7l7njsqm7C8rnxmmPnIQq+DqfeAUD7+S5kzVK981Z/QFSj1nrbxXlRIc6qzEShJUNxd8Lqdz7CU/MSsLG8vo/mCZ2zc6wd+QuTUef1I3fzYRQ/coeY0QAQ8rybPjwpGDPEXClYMhMRNovgfucvTNaEyOh+0X0o3OfB5EgbpkTbRO6BK04+8WYFPjndjjqvv4+3fEuUXXj0zhgHtlSchDPGgZz0OORuPizYTxw8Rk7MJxr46Hnjx81zJjykxHV9ABhhmCsMw0O/RiDHJMmoUCENdcHh1EOZTwyoRsY+ygxPkw/LXi0X3jIJV+VtO4bsVw+I0nZegLLmvmmYPWWMpryeinmKymo1MrAUWvA0+fDQa+WiQ1Ck3Sri1bJnN2FMKHYcbUTNaZ+oRAUgQj+AGmJYubUKLk+zKKzhRTWfNLcLw5y7+TA8TT6sX5aGwuxZoirUPsqM5XPjkb+jGs9s7/UYqQAo0m5F8SN34J6kGADQhJvo9wuLUoQHvL2qQcTzqUKTYvfFrnoULJkpkpU0wADAQ6+Vq+fUE49/rPhDPPRaubiPpAlPx0ChJos5RDOwAYDNasbKb/YWWBHoWhSV1QpuOs3O0p1RKFgyU+jiyB41nSftiwZ7MtI06PBOTO8eaeyzHq3DC8cML/0KYSCSjIP1Y8jnXj70mhnzxsd68rdcYpYv8/4Jbx/p2eMN55RF6/cr75/wKnc8t0cpOVCvLFq/X3H+9K/KjP94V1m0fr+SVfiekKEl+VwuwypLtO6salDeP+EVMroks8uP+eEN5cqi9fvFT8mBeiFRKx83X58fe3aRS8jIKoqiK7NLy1Cj6VnP7tK9dvw3La93L/i1pWvHj40fv6Ko0sBZL5WJY6Htf/dl9Vh2VjUoiqIoJQfqlVnP7hLXi5+XXsNo+n5nVYNGwpiuKz8evh6/pvL3cpNt+l5uZE3Xr+RAvaaZNt1vOjb5fhuSvQMHhqhJtIEhhBw3J++Mx6Hl6Swv9ydPitZZt6dGE7IgD5OSeqvvm4Zf7/4Yj9w1BX985A7857LZeOSuKTj2+Vn88M2DKNznweoezrQcgwV65XQ3ltcLVUOCv7MLT//piJiuE3Nk/bI05C9Mxr4aLwqWzNTE/2nbFMrh7diA3g5GXOyKQip0DY43qnFvAFi/LA1vMtkCfp3JW21p78QTmw7pat/QtSX6IM0QFqdNFDF5mlGQ55u37Rg+amxDqz8g8hI/2lSpSg5kzxIVq+v21uC5hdOxIsOJ/B3VeJL1QJXDaO7GNjxZUil6p/LiMJqRAWp7Pe5ZcyGvgr0nhAojNe/geRdqMsJlDKjpCHVZKq0+hck9Wjs0EwDU2QHNOuga0jEa2jGDCyOGfg2BDAjFLoklEujq1sQpOXebXkJAZbBQj0uK9dL0m0+16eWdEm1DfLQNG8vVxCF16kmdFIGn5icI/jWxMfhg8u6RRmyvatCwLGjbrf4ALlzsxkcN54TOCABxXnxw8Po6+ygo0gBAn9HfcvyaGCCL0yaKuP8vFk4PqqPC1wUgri8xd+QkMgBxDXkYJNJuFbROzocH1EGEqlVdnmYUldUKaWBahpLbdE1WZDhxtuOChtP/+EZVqZHCRwkxDqGsSPulZDKxVSiBKgagBUniOpO0wdmOAJ55+xjeeHSOeMY4/ZTi5wBE9XFOepxGYZPOI9JuFRISvOaABghSfuSVwwYuD4aHfo2BS9vmbPhAfXGXpmrYBpREJI+M4sxTom3Cg6IXkJJYK7dWCU+fDOPaUjf+bV4C/IGLKNznEcU4T81PgDPGgUh7b2KWDwjEo85KGY9Iu1UkTamdWrGrHiu/mYjnsqZrPGq9psl0DmRA9UrPeUKOx9QBtZhm9TsfCY0UouMBqse67NVyEY9fPjdeXBPSTgHUJC/1CQVUY579ygE8/eejwtOkmDnNKIBeo0oGkMTKyJj/aFOlRneFhM0ACLXJrJTxam5juzq78vrUxhm1XpVFRNdz2Zw4cbxkQDMSorHirUOi5ykZ5Zb2Thw/1VvY5W5sQ1FZLfydXQi1qMwoMrCk5kigc4q0W1GwZCYK93l0Zw9c90eO+1Pug2L4hjEfPBge+jUIMtzBPBvuSRHTg3cj4tuh33K1Ivf06pvbERdlx+wpY4TnyNkPgJocpSKbCJsFoSNDMCXaJhJ0vAlDhM2C/B3VqG5oA6BgaoxDVJjKAl9U1EI8dF7AwtkV5C1SohgA/IGLKK0+hYIlMzX6LWJG0OM98h6kFI4o3OcR25FDO5F2K5xj7Rg5IkQwPziPm0vb0rHzylRKluZnJWNjucoHJ6/7hNeHl7PTEGGz4GxHQGizt/oDQhzMZjWjMHuW4KdnJESLUIunyYff7q1BTZMPFy52Y+KYUChKryGmGdBbP7hTzOBoMKNuTpT8pFlP/o5qcY50TnrXkNhVfLAl1g733uWOTXKnJQNfH4ZBv0bBy+plUNwzb9sxUVjEDTb3orhRJ6NC4lBkBJ1jHWIgIA90+dx4YVDIKPDCluSbw9HqDwhaHK+4JM44oFaXnu24IKo3KcQC9BpEovvJ1EEy/MRK4TQ+OVQgny+BzoeqPek8+GAlh3iiHVb8/ntp4nvemJpfS0AdyLJSxmNjeb3ICQDQDFh0vACgdKvnbTIBnzZ3YP33EjUl+iNH9LYHdDe24SdbqlBz2of8+5ORMikca0vdGDkiBM9/ewamRNvUffV44jTQEG+fiqOokYgzxiGaZ1MxGN2rSLvKWGo/34WislqNiBoXIuPXjAYAHgrk98/T5OtDYzQKjy4PRsjlGgNNy0lvXO/7lVurRPyYCovoJTlYd0bQC1durRJ/AxCUvp/MvxXFrnpNKIRK1AGIghwAIklJLzYlv5bNiUO6MwrFj9whwiqU0CUaZas/gOd2HsePN6v63nRMa0vdGiolxbdpCk8vPe8U1OoPaDr18JASANHAgYdNaHkaiCic1eoPwGRCn9mMntEi8EIpnuhtae/Ev287KjRoVm6t0hRWUaKYjON/LkuDzWqGOSQEzrF2jdJjwdJU0RGKjHHDuS+x8huqpHCrP4BVmYlYkeHEloqTmjZzz2w/Jppp0H33NPnwUcM5jQxA4T4Pqht6uzFR0tPT5MOKtw4BgIjDa2QZerx8/hxyiqbsmT/xZgW+v6FcQ7E0Co8uH4ba4jUEeuD/acb4PqqFpHwX7VBVE2+fPAYPzJqAMT0eqHOsHT/eVIkN+z/FO1UN+LtbIuGqbcHe6ibsqW7CtPFhKNh7Ao/eNQXbesSrxkeMxsqtVdh17BT2e5oxbXwYnt/pxj/NGI+UCTch1GJGR+Ai8rYdw6SI0fB3duGxPx5E90UFfz3aiLsTogGoybNvThuHO+MjsbbUjf2eZjx6l9r4+IuzXyLvW0lI6/HQYxxWzOvhf+/3NCPQ1Y3vzp6I+UnjMGtSBEItZo1CpM1qhnOsHf/1P7XISY/Di387gT3VTUgc50BcpE0oOj6/U2V30GekrlhUVot97tO4OyEaNqsZJ8904AfFH8Ixyow1WcmIi1S9XBpEJ4SPxsVuBavf/gh39cxg/uY+jayZN2N+0jjMTxqn4YZHOayYcfNN+LSlA9l3xmHWpAgcqG3B3zujsPujUzj6xTnMTxqHexLHItRixq2xYbg7IRq3xjjw0N9NBgBxje9JHCu2feTkWWTfGYdvTY/FN5JjEWmz4EebKnH45Fm4PmlB3oIkZM28GXGRNoy/aRTeKv8MD8yagGmxYUiLi8Bvdn+M9zzN8LZ3or6lA3f3yCSMv2kU6lr8eGDWBKEy6Rxrx/kLF/Fxj0dNs5p7EseKZUaYTHj1vTr8zX0aieMc+Nmfj+L2yWPwPzVeOKPtGDVyhOa6TAgfjU9bOvBQ+mTNs8uVNg30YqBqi4ZBv4Zgs5rFAx/FwiZ5244h0mbBb/eewJz4SAAQkrP0ksRF2vCPt8UgdWI4Hrs7HqlxEZg2Pgz7e2iMM26+CYtmT8StsWGItFnw9J+P4o7JYzAvKUYs88CsCbgncaxIuv3NfRqzJkUgxjEKK/90BA/MmoCMW8ei5nQ7fpShtoyLi7RhQvho8fddzijMTxqHM/4ANn34GX6RNR13JUSLcyCj9MGnZ/Dg7ZPwUWMbMpPVopzVb38kjB9dDwCI6jnHW2PDcJczCrMmRQhZWLoOZDC5kSp21ePRu6bg8OdnheyvAuD9T1owauQIPDBrAjoCF4VhntDTvPrDujMYEWISMsNk2AF9nfCJY0KFwVQAzE8ahy8DF/Gepxk/+9ZtCLWo50ED75eBi/iXjRW4Y/IYIUn8TzPGi21T04rJY0Lxv3quBe1j5sRwbPpQNd40GNF3APDoHz/Ex6d8GBFiwo//cSrqWzqQtyBJDM6/7UlY0v8nz3Qgf0c1/vD+pxhjs+CexLGIi7TBOdYurifRJkeNHIHV909Dqz+AjeX1yLh1LHZXn8LmipOo+LQVdydEi23+1//U4qffuk0MsHyQNtAXAzXoRmHRNQi9YhUqcFEURVNoRP/z3xy8QIhvl4pyeGENL1bJLnKJIpbsIpeyaP1+TaFJdpFLFJXMzt8tCmR4YRBfh++XlqFt0DHwghm5+IX2y89ZLo7hBTV8n3KxDR0nLxyi5Ret39+ngInOJ1ixjHwMcpEV7Zv/Tdchu8ilu91X/p9HSVuzW3NN+T3VAx0/FQfx60TnyYuC+LkuLCxTSg7Ui6IpfvyK0lvQROdAxWaz83crO6saNM/OwxvK+xyjfC8NaIEBFhYZBv0aA70kZOgIssElI8CrKmWDdrzhnDDk9CJzQ0mfU8WoXBXJ/5ePhYwBbYMbMbmSkh+/XOXIjyFYtSRfhm8vmAHXg1zd2p+x55WSepW48vbk9cmgyQOIfF78nsrbfnhDufLdl/eL6tTUNbs095AqTuVtyJW6/F7ze0P/U9XwzNWlSvIz7ypZhe+Jyl+qiqV7q/csyIMsfxbkYzOqR4NjoAbdSIpeI6BEUaTdijcendNHwhbo7UBPWiKAynCQWRgErs5IiVNahvjfkXYrVt83Dev21iArZbymizxVYQJ9Qw32UWasyHCK5Ytd9aJJMiUrqZGCy9OsSWjS9ojNQceZLoU2KKFJvGhO45S1b/SOkUPvO2KDUNKUkn/yenoKkDy5Jx8Had/QsnIylR87rwbmCewXFqUIpo3FHIJbouyo8/oR7bAiK2U8fry5Eu8eaRRJWErEUqI30KVKGz/xZoVINl+42C2qXCPtqiSxfZQZETYLns68DSEmoP3LAJ7cXCkkle+Kj9RQRXnVMgBNUnrl1irkbTsmKKE8SUv3XlZzNPAVMRCrP1g/hof+9cC9YT2vk0/ZZc+Ze4PcA+Pb5tNgPqUmj5hvWw676B0TbZfW1fuf/qaZhhx60dMckbcvh4kGC7LnrXccl9qn7Gnzc9Lz5vm1lsHDTzwEQ/dpZ1WDUnKgXkn4+U6NTo3sEfNZAYVE6B7urGpQpq9WtXq++/L+Pp57dpFLySp8T1m0fr8IodA+5ZAKf77onB7eUC50gfRCPnSehpeuDxge+vUB8gplTRICp+9RdWdGQrSmjL3YpTZHtphDkJk0DgV7Twj6I1HnqCMNFSKtykzEuj01gt7X6g+IylSu06HX3IC8TqqMJIqdTB2MdlgFHVLmw/MiHz06G3ntsuTAYIB7yVyGgL7jvweyDfmcOI2UagZyNx+Gy9PcxxMnimfegiRBW6TZ19pSN06e6cDP/nIEWw99joLFagFVtMMqlCDXlrpRVFaLxWkT8cRbh+Bp8okkZp3XD4s5BHVeP376lyMwwYRH7poCm1VV48zbdkwsk7cgCau+eSvso8xC1mBfjRcFi1UlSTpfKqTiFE8qcHt+13F4eiR+6Rmk68ClnA0v/evDMOhXKbjRI6oYGUaanhO4psnitIn49e6P4e/sgqfJJwYBamawbm+NKIOnsu7CfR7R0eaz1g60tHei6rOzOPz5WbT6A8hfmCw45bzpAedpcyMEQOjLkMGq6eEbczleKrmXG3fwc6Ywkp6O9pUuGR+o8R7oNvg5cbEuChdF2CxoP9+F/B3VyO0R2yIxLRq4+M/itImob/EjxjEKFnOIMLR8v6SLHx46EgpUnnmrP4DJkTZsqTgpOiclxDjwn99Lw70zYrEqMxFFZbXISIgWjTgACAkH2nb+wmSxT6ovKNznQU56nDDqNLjbrGa8nJ2GX357OjaWq52iuLzDQ6+Vo6W9U1TcGlz0rwejSfRVCLmZBf1PGi28+pEvT/HkrJTxCA8dqRE+kpsQ0HrkDVFpeaCrG4tmTcCvd3+MSLsFG39wZ1CDRi9dbkkljje24baeqkJe2UjHTyXgVDy0fG68qCKl2DhvNddfdee1Dn5OXLeG5BRWZDhFGT4A3RZ+tK6nydenKTZdbxLncsY4kLftGDISopEyKVwz++F/0/05WHcGG8vrhbAZyQqc/fICxvbMzmi9/B3VWDYnDs+8fQxjHVY0nP0Sm5anC0E23moQAB7fWIGaJh+Sb75JnBd58zzeLj/f19sz8FUx0CbRhkG/SqHXBUY2yBw0ZeUv8tmOC6KxAt8OoN+RBgCWzYkT3XpKq0/pdnSXjxPonSbLWisANBoftE+5yxINStQa7UbrbMONs4xgxpwGfUAdVAGIwYCMMenHkAwDJcH1Euq586Yib9sxVH1+Fr9bkiq8b6rm/NGmSqEMCaj3PPvVA7glyo5Fsybg7SMNuHCxG2uykkWjFVLp5DLDga5uEc6SnRca1PlMjn9/o2KgBv2ykpwAwgFsBeAGcBxAen/LG0nRrwY9Kp6cNOLJMfqu5EC9MvPZXUrqs7tE8otof5RU49xymUKox1EOxq/WS9LKCTK9RCwtK29P7/PrHZQcnp2/W0MP7W95OZlIFENKYBJtkSey6TPaBv2WaZM8Qbto/X4ltacJCD0z/Bnkz5S8HeKm85oGnhAlcIolfzZlCi0/7hsNGKKk6O8AlCqKkgggpceoG/gK6C9WKFPx9NalJgpEVWxp78Rz7x5H3JhQrPpmotBcob6RFnMInNE2/OtbFXh8Y4VG4pVi3pz6x5OuMvS+I1Ew8tipwTDFRYMlSGl7N+L0Otqh6oavuT9ZQw+Vcwv0+/GNFRpdGxLYWr8sDQVLU8Usy93YhjqvHyu3VuGJNyvw79uOirg2NTshCWHe9zXdGSXCNhazqikDqNTTg3VnNMeU7oxCwdJUEQake0caNu3nu4TSJgCh3EjH4fI0I3fLYdF4JdDVLcJN5JXL9FYjvh4cX9ugm0ymMAB3A3gNABRFCSiKcnawDuxGAGdvyA8p8XYj7VbxsMuqfxyt/gCiHVbUef3wne/C/0qIRmn1KaFXvrbUjSc2HULKzTfhlfc+xYUuNdRGLBX5uOTj6e9F4swMCvdwCV+actPLyROkMjvmRnph5cHs3hmxov+o3D+WrounyYdPmttFctLT5BPXk7Cl4iQKlsxUm1dvOYzFaROxJitZdKQCegXW8hYkIb/nOwI9e2tL3ViR4cTvv5eGxNgwIQGcmTQOQO99B6DpRgQAdV6/YAjR+RFIaz63pBLOGAf+8PDtgp2TtyCpTw9XAEiIcWgGhhvlGfmquBwPPR6AF8DrJpOp0mQyvWoymWyDdFw3BKiQh7xa7oVRDPJg3RnkvK4236V1ZNrfigynaEF274xYrP32dHxY34pAVzecMQ6sykyEzWrGLVF2fC99Ml7OnoVXvz9bUNuA3s47QK8iIBl2vSIdjvbzXYImSYaCv+g8yZkYG4Y3Hp2jSze81H6uJ+gNXl5fp0blkjeNIENWVFaLuDGhcMY4xPKkqMlnRmc7LqjNq3tohVQoBEAwa3LnTUWrPyA8d66ESVRWmuG5G9uwvaoBT81LwG/2fIyDdWdEcZJHGlDePdKI3C2HsWxOnFDB5DTGCJsFy+fGi85YNCOg2SHvikTUWqK38mIkw6j3xeUYdDOAWQBeVhQlFYAfwNPyQiaTabnJZDpoMpkOer3ey9jd9Qd6qXmfR+Juv7AoBQVL1cRUUmwYtlScFFNU7tUX7D2BCJsFkyNtoqtOyqRwABBt0xJjw1CwNBVPzU9AtENtj1bsqhcDCb2cAASXGIB4eeiY6Jj58ZPkLrWyS4wNE7Q1Hnbh6/ZHN7wRjDmgHbxkw93SroZVHnqtXBhZCn+tykxEeKhFbIcopS3tnYIWuXxuPH6+/Shy0uMwe8oYkYimQZf2kb+jGr/dW4OLUFD12Vkse7Uc+TuqRTu6orJaDRsmJz0O9yTFYHKkDa+/X4cVGU5cuKhWvdL9J8NfsFgN8f1ok9q5Kn9HtXgefvrnI4ICWbD3hODfc1nfnA0fCNrm2Q5V3peedwov3ijPylfB5Rj0zwF8rihKec//W6EaeA0URSlSFGW2oiizo6OjL2N31xfIGNL0mRgAy14t17zA9BKT15K7+bDgkUc7rCK8sX5Zmqbg5FzHBaEl7m5sE+vStunlz0mPw8+3H8XZjl5PisrSgd4Scc6bpqIkMhIUP6VlKMRC3hanXhpeVS/IAJK2PT0TZHhfXJoKAJrvqc0e0Cv1QNvwNPl6S+8V1UuX5SDICNIMcE1WMl7OTkNp9SnkZyWjYKnKYqH+ozSTykoZL7z1p+YnoNbrx9mOCxg5Qu0oRfefDH946Ej8fNtRTBgTirYvL4iw0IoMJz5v/VI0LiFWE7UOXFvqFs3HnTEOLJ8bj/oexUcAGk6+AR0MJHMa7AdAGYBbe/5eDeDX/S1vsFxUUAafGAIy44CD1Aq5CiFfn7Ng+Dqpz+5SFhaWKYvW71dm5+/uwy7gZehZL5UpCwvLNAJPwcqx5f3LIlT9leLfqAyFS4HLNMgSDIqiaNglXIpAFsHiDBRiluiJrtE2uQKmLAshK3cSS4qv//CGciXrpTLNM8xF2Bat36+UHKgX4m58e/S3zI7hUgNc4uBSjKvrHRgKtUUAMwEcBHAEwDYAEf0tbxj0XnCZUT1w6t+3Cv67j4wqf4H0QHRFvUFCNr5cXyMYPZGvxw2GLCN7o75wgwHZsJGxC6aQqAeZQqoovQMCN/Ikj8tVD/kzyWV+ZUdCHhRIN4Y/V0RzJOVHvl1ZJ0ZPLyfYOd6oz9ZADfpl0RYVRTmsqOGUGYqiLFQUpfVytnejgKbOOelxmm7yBApnUCn02LBRyFuQpAlf0G+eROPbLyqrxdpStyj/l5krVNjR0t6JT1v8ACAa/crbo9AAhXgAtYQ8K2W8COMA6KN7YmDgoHAFgfIOrf6ACFdQhaacROfg2ihAbzOM7Yc+F+E6CoXxMB0AjUxEVsp4FO7zoP18l/iOJ2fdjW0odtVjRYYT9lFmofFDBUT5O6pRuM+D3HlTMXvKGBFaIRIA0W3pXDnTStb10Ts/A/owtFyGGBRLplg1vTD8+/wd1YI5QkJZ9EIRD5kobHoGlJKqi9MmCtGn3JJKkXTK23ZMMBNIjpcSlbxqlEAx2nePNCJ382EcrDuDmiYfpkTbsPq+aZokp/HCfT3IDB+6h+nOKHF/yPDJBpAbPXdjG1yeZmS/ekDQAtfcNw0HPzsr4tLkENC+OGuEjPrG8nrdZ4GWp+RpujNKDDTEkNl+6HOxbKs/gMc3VgiNl0i7Vc6n+lYAACAASURBVOQIls2JE+X/lIDnuRq9WgUD/cMw6EMMruK3KjNRI3DFkb8wWSRCqRADUMuwqz4/izddnyLn9Q80TZ85Wto7saXipHiJAYiBgTxrYheQN0iKjC3tWm8+MTYMq++bhntnxKL4kTtw74xYvPHoHLT6A6KAxcDlQ2YS0f+8RJ4XbtEATYbQ3diGh14rx7o9Nbglyi5oivtqvMhJj8OWipOagZ32QQJe5DCQ8NpT8xNgH2Xuc4yUlC3c5xGDAD3TsyeF4xfvunH/jPHIW5CEdXtq4DndjrMdAZFsX5WZKIqf6FmjJC3tQ0/pkl8bA/owDPowgB5QenFkuVCLOUQY2We2q9K1VLjhjHEg//5kVH1xDlPH2vH6+3V4sMglvHagl8fefr4LWypOCkMN9PKJV983DRE2lf5Gkqq5mw+LBge5JZXipXc3tgnDTcYl0m5FsaseBUtmXnHVwysBfq3kz4YTMhuIG3cychTWIJAhTIwNw4tLU5G/MBnrl6VpwiTOGIegwi5Om6ipRCVvnTxiAGJ2wA09vz40WPBj9Po6sb+2BUmxDtzT0+jbPsqMX357OsJDLUK1MX9HtXA26Bjp2ORwCzfmhsd+aRgGfRhB3g7Xj+Y8cE+TDyeafBg5QqWQUeyxtPoUVmUm4g+PzMGarGRMjrJpPH16QfIXJmNVZiIK93lEdd7aUrfw1taWupGZNA65mw8DUOUBwkNHamhxdFxctZE8ROJAXwuQDTef0vNy+OGebfDQi2zc6TOKtb+wKEUjY8xzJ7KTQHTGlvZOrH7nI418La3L6yG4YeU88XePNOKh18rR6g8IZ4S+AyCeS6C3WC08dCQ6Al34921HRahv+dx4UVvB6xzoWPi9oc9I4dEI6wWHYdCHAdy4UMUeeUwuTzOeLKkUccfJUTYRN+VNK7gueXioRXhMfNsFe0+g1R/A8VNtiLBZxNSaPK/lc+Px9pEGofPy2701+P4G9WVdkeHEJ83t+PGmQ+IFBnqrW+lYCMNtCPsDFdbIBTzk7VKikd+H4QQ3pnpt9Hh7Ohq86Tu6r3KTCe7FUzu/YIMYH+Ro5rZ8bjxWZSZiY3k9JkfahMcfae8N2ZAuEEerP4AfbVKVIOOj7YiwWWAxhyDCZkGgq1tTRMT1ZfJ3VPfRtKF7ZiA4DIM+xCDjwotzeJKLSrnXL0tD3oIkTVXgqsxEjd44ecqrMhNFYRLvTZk7byqcMQ7cNi5MSKZyr6xwnwcfNZ4DoBr/f5uXgJkTI+CMcSDdGYVfZE3HmY4L+Mn8WzXl/JF2q+gJCahMCip+uRqgZ5B5ww0ObtRpcL2aPEC9Y9H7jHvyxa56Ua3r8jQLkS26X1x8jQ9o5CiQznluSSUi7VYULJkJZ4xDhHmo4hjQ9hAlD5++e2FRCiJsFrz0YCqef2AG1i9LEwMA0CMUF+MQA0zuvKkoKquFv7MLFy52qzF/1uOWoMfqMqDCMOjDADKGciKIvC8KYxDDhWLapFRHBptKqqmsmqr7gN4pNKA2SKCXmQYCQK3amxZ7k1YNj3mElPy8JylGGAh6echAEn1tuGPpPHSgp+JIioByKIOW4yXulzIQV8PAJZ8f99pz500VVZhP9jw3ctwc6NXIpxkXPVs8Pt/S3onCfR5NI2ei2ra0dwovm4d4yGnxNPmQ/eoBPPfXak0ilzx5EhjjOj+L0yYiwmbBmqxkLE6bKKi1NT37kGcVRgWyFuZLL2LgSoB7KhyUnOLhFfLAOdyNbXjm7WO4OXw0bFYzWv0BsT1qVkCDRUt7J3I2fCDi4MQFJh5xtMOKd4804sebKzFtfBiKvn+7OBbiplOzAjKIpN9yNXDP6aXmgxJ9TudBRoRKx2kZuYOOrHIon5fL06zpBDUc4OcrJw95g4h0Z5SQDyCvnS/Hnwm5kcmKDCeA3sQ9lfcXLE2Fp8kHT5MPRWW1OPvlBax46xASY8Nw/4zxmg5IZzsuYFJEKOpa/AiBCVWf9YqxEi+dN/Sg+P5T8xLQ6g/gx5srER46UlA3aZZJAxAlbIf7+buaYHjowwBZHlRmNXC1O/KcOChM8+LSVLyScztWZDiRu/lwn+IO2k9ibJjwoGmwoORoUVktXJ5mbKk4ifz7k2EOCcHBujPimDhNjTwz+ox3QBpO8IIXEhsjxUiKna8tdWtisnTtL1xUBz0arGhA1fP8qJBruGcjcuJ05dYquDzNfRKHlCQtKqvVFLGRF07nIdMkXZ5mPP7WIdFUmhqNkybQircO4V82VmBx2kSMdVjx3MLpWJHhxK93f4yslPEA1KTn6nc+wqrMRGxeno5ffns61u2tESwqKjoir53CO6vvm4Z1e2twtuMCUiaEC4PPe7HKzo1hzHtheOhDDGKx8IdQLighDyTQ1Y28BUniASbPG4DwsImSxlko5KHxEEOxqx4RNotohkDb5A0FJkWG4oTXh5/95Sh++e3pGnplQY+nR9sjBgMdZ7C+l0MF2ndOepzoVRphs4jzJAonD0kBgM1qRkKMQ1A4yXMtWDJT11uXKYPDBZ4LOd12Hk+WVOKNR+f08dq5FC2F+qhCk5KT+TuqhRceYbOgqKwW428ahRUZU4UqYk56HPJ3VKNgaSpWfjMRvyitxpRom3gGVmUmYkLEaLz+fh1ONPnwy2/PELF3QHUqpkTbxG86hrWlbiyfGy+ewXtnxKLtS1X6l8+0ZE/cUFvUh+GhDzHcjW14sofjzePZMvOFio54/0diu/BQB6AmjFr9AQ0bgHcgopeBl5GTN1qwNBUFS1ORtyAJ6c4ovJydhrjIUEEp48cov0D8OK8W0ODmjHFoJHx5fiG3h0UEQIRZeLemgiUzUVRWi5b2TnGfuKd/NWhx033xNPlw2teJn8y/tU9/VjrGtaVuYUAB9VqsyHCK62ExhyAzaZwm3n7a14nw0JFo7VBDKs/tPI6jX5yFp8mHt480YARC0OoPaCQKbFYzvpM6AV0K8NNtR7BuTw0e31iB3B6t/ki7tnCJQIMpoL4f6/bWCIkJrs0vUzGvhlzG1QajSfQQw+tTueTk8RJ4DJj+5t3SV26twvK58aLajjyUd4804md/OQpAweQoG8JD1eYBv91bg5EjQoTnTC85lWvLx8T3v3JrlSakwo9DL76sF2seStD+KX5M58j/J0+zqKwWp9vOo+HseWxafqc4R97I2t3Yhvwd1Qh0dePTFj9eXJqq6WAP9K/pPlQgg+1p8qFwnwd5C5I0DZZ5vBzo1YeRE/LL5sRhe1UDctLjNA2gAbUI6P4Z47H10OfweNux6bE7EWlXOyWRNgsAUchGISwaLNbtqUHHhYtoaO2Ac6wD9lFmTbyempvzZ443RyHvnSpLix+5QxxXTZNPE1u/njHQJtGGQR9icM+OHmJuLPn3uSWVwrOkaTG9KImxYSJBt/q+aQDU1mP0Argb2/DcwumYPWWMZrt65eX9/b1ya5XQm+EvY7Dlh/rFIqNN9Dtqk0bTfTI8WSnjNdeHd56n7XDjTtcZgGZgo3yGnNAeDoPCB2kKucjPEj9m6kBEBt/T5MO6PTWwjzILfXKahVAoxd/ZBZtVTYC3+gMaZ4AnYGl7j79ZgbgoO371wHTk76jG2Y4AQi1qZJeW49eckpt0nHRdKRGftyBJPPuL0yZi9pQxyC2pFHUXNBhc7yGYgRp0I4Y+RKCXi78A1DyCG2runfMmA/wBppeYEnTOGAfyth0Ty0bYLKjz+rFhfx02ltcLz40ny4g/zF9yMhC0HCU/abq+fG68xrvLW5Ak/iYvbygZBzwJyNk24aEjRUyWYsPr9tQI3vOKDCcibBaNAZHvS6s/ILxeAiWryYsloxPo6sb6ZWlDblB4XPnFpanCu6VrkrftmGAj0fGTRw2oSW6TqfcZoHh6oKu7DwuLcjbOGEfQ/E9LeyduDg+FzTICVZ+dRaCrG41t5/H7B2eJa0bPFxXK0SyB5yXkYimi3dLARGHDqyUpf1VhIBq7g/Vzo+qhk6456Y7zz0k7mutEc11peX3StaZGCHxbitKro/3dl/crKc+WarTOuX4517+Wmxnwz/jn1LhA1sleWFimpK3ZHVSb/UpCTx+ba4fTT+qaXcrOqgbRrGFnVYNucxFq9pD1UpmSsrpUXHParqzb/f4Jr25jkKEEf14e3lCu7Kxq0DRG4cvxc+DNS+iHmktwLX1ZP583veANMRat36/MenaX8ttdbmXqz/4qrjftmz+7fJ/8+tKy/HjpO+oJID9nN4JGOgaoh26EXIYIVNLPpWq5RyzHAeXwhcvTjBVvHUJh9iwRMqAQCA+jcCYMgbxPT5NP9xgIfHZA68jHQLFkjtySSqzIcA6brgtdKzoXfk0pfPL0n44I+YO/VTehtPoU2s93Cc+alApJRbKorBaZSeOw6eBJ/OqB6eL+UGiG75tCADwcM9TeOp37E29W4JPT7UiMDcOyOXG4d0asZhke5tMLk9FMkjz1Wm873uyJmwPQaLYA0FBh/Z1d+E7qBJRWn0Jj65d447E7NTNC8sYDXd14an4CnDEOsa+8BUnI23YMT81PELH5/B3V+PiUDy89mCr6lt4I8XI9DDTkcvXQE65zOGMcGkMK9C295uAJLa9PVVmkdS3mECGvK8exiQlDpewkKxDtsMIZ40ACK+TgBhCAYBbwdfiy1PuR8+cpNMQLRIYSvHKQzoNCMACEBg2FXjxNPvxmz8dYnDYR9lFmjS785EgbWv0BFLvqsThtIjYdPImjJ8/i6T8f1bBcOLuCQgIUouDXZyhBIbI1Wcl487E7sSLDqWEqAdA8Y7zOgC9DxWQknxsfbRefA6ohJ60YYq1QKGrkiBCUVp/CXfGRaPYHNDLMi9MmCjbVhYvdeGLTITy+sQJP/+kIqhvaUHq0EYdPtmLtro/F/StYmoqNP5ij4aLLOSADWhge+hBAruwjkLfn8jRrGisTyKufHGnD+mVpGm9G9vJlzjQATaKJF42Qt8Pjxi3tnXjotXLcHD5aeLKyB6fnzQ1XMpSDs1wox0AzkpzXP0D+/cl4YZcbUXYLohyj4O/swq++MwOt/oAmmZhbUim8R2o+0nb+gtCUP1h3Br/f58FNoSM1vHvyQHk+YjiTpHIdA08a0zMmM2QAaBhRBJ6Yp23S4EjxdP4ceJp8yN18GE/NS0DKpHCsLXWjobUDdS0dKP5nlaFSVFaLxWkTBR/9bEcAp32d+OHceOyr8erWNMjPod77dD3D8NCvIpAnLocvSGWu2FWPjIRowYX2+jqFRsqa+5NFkwHOI+fb5g82b19H02byzHiXJNkLJy1tkurlVEc6Jj2GzNUAOlZS+qNBKt0ZheJ/vgNL5kzCym8moq6lA/fPGA+b1Yz8HdWIsFmQwESnls2JwyfedjGgPTU/Ac0+VcvkYN0ZPFlSierGNnQEVNYPN3yBrm4UldUOq7gXn6GtykxEQU+ilCeNefLxsT8exA83HoQ/cFGEQ3jdAaAa+RcWpSAxNgzL58Yjb0GSYArJfHyaBRYsmYm3jzRgbakbd8VH4kzHBeTfn4wIm0Vo7m+vahAFa394ZA7W3J+MrFkTNPx0edvyeV4tz9/VBMOgDwHI2PDyfmKokIjSb/Z8jFZ/QPVwSipFaf7sKWNEzJqUGGUONDfmnDlgMYeobb56pFTXlrpFqIHWk4tQPmluF8fIS+rl9mD0t16J/HCAv+TU1cfd2Cbi+kvmTMLvlqRiyZxJWJHhFIaD6gFySyqxsbwezrF2YfScMQ4UZs9C3oIk3DsjFn985A68+YM5eP6BGQC0YQtu+IYa8rVfubVKxPPlZ4+uS0t7Jz5tbofJZMKDsydqOhNRDoZCaoDqgDyx6RDyth3Duj01ACA0+vmzQTF2ohm+8l4dfjL/ViyZM0lI94aHjtSIiZGGCyk+0nH3p09vGHN9GCGXIUIwD5c+d3maBbUOULVF5CIivdCGzGvnU2Ey4vTZY8UfwmY1Y9mcOMFP59sgznn+wuQ+03Pi+nLwYqSr5QXj3Gwe/tDjq28sr9dQ4mRKYvv5rj6GH+h73sMZcuov5MYHehpoeHgPgMgZUFERD7EA0DgIga5uPHLXFCGhwIXbSLTrt3trYLOahYxAndeP7VUNIkl9sO4Mcrccxh8evl3znLb6A3DGODT8cwC6hVI3IozCoqsUVIVIBoIbSrnQCFBj2zxeLsewSSeaCjCA3lioy9OMwn0e4S397C9HMT5iNBrPfonbepJOQN9iI9ovf5noMx6TDxZTH27wIiG5SpYzK46fasPvH5wlDBovuiEmDIUXVmQ4Nd/L8fPhLGzpL5chM5+ocpafC1eipFkc11KhZQDo5nAANRb/o02VmBJlw1PzE0RxW2JsmHBOeGXqlGibOJYfbarEreMcyFuQhFZ/QBQ70XsRjHV1I8EoLLoK4fWphqS64Zwop+d66NyYy0k2AH08sZb2TlHJF2m3CupcS7tKPXuypBIvLk0VRTTOsXY8NT8BQK9+Bt+m7Mny/fJEG4En0K6Wl45CDP0JnhHbAlBzB+Qp0jV5fGMFqj4/i98tSRUeOyWSPU2+PpKvww0+aPHEOt0b3mGKF58Bvc8ZrcfFtvigRbMansPhA0nhPg9eelB91vj2iZlCVbuF+zwIDx2pmQH+72/cKhKoPOnKcyNXW+ORqxYDIasP1s+NWljEQQUSeoUdD28oFwUxVESxs6pBrCcXXGQXuUTBDN8+FYHw/cjFQXy/8rpU/CEXy/BCD34u8rEON/QKTU63nVd2VjWI85ILhKh4hhfA8HXps6k/+6soNpILwIYa8v17/4RXcw70PMkFPPy4FxaWKbOe3aUpJqK/aVnaNi/q4fs63nBOmZ2/W9lZ1SC2q1ecRsVxdA9oOwk/36m8f8KreU7lQjt+LDciMMDCIsOgDwNkYyAblvdPeMXvO57bo5QcqBdVebLhl18sPQOc+uwuTYVoMIP1wz8eVHZWNYiXWn75aN9UfUmDAx0Hrxy8mkDnwysn+Tlx43Ep0L3h2x5q6DkAwZ6nYPeDD/BkTOle8opM/pu+pypR/gzRYMmfXT5o8uPm15AGWjqf/gbZr3KfrjcYBv0qgvwAyg8tf5B3VjUIj0VRej0heuj5enx7VN4ue1fHG84pM1fv0pS5k/GlF4telPdPeJXUZ3dpDLY8YHCPnBsPWudqfdm4cZM9a9noXc0eoey96nmzXJZBzwjye0n3jEsFcGO/sLBMPAfkgcsDBXcAsotcSlbhe5rnkI6bBg56Hmkf9CwFm03Qb9mw30gYqEE3aItXGFTBKPdAdDe2CcoWAFFVt6XiJAoWzxR0O2qeu6XipIb3KycyI+1W3DZOLfdeW+oWXdQj7VZsWn4n8hYkiZhksaseq++bhmJXveh2TzFkSpET7zjdGSXkACghxil6FHfP2fABWv2Bq4LCqIdoR2/vSl6hSzkDTinlladX07nI8WQ6J54DAXobWXAxLjonSuLmbTuG46dUdsnKrVUoKqvFmvuTUeyqB9Db3zM81ILFaRPxwi43/n3bUdHGTqZnUvXyigwnPmvxi1yLy9MMd2MbHixy4fuvf4Cqz84ixKSyuIgv///b+/6wqso17XshQsHGRCTFUoO2REgiwlGZDucbZ2yOzjFx5jNFo6E6yZkpK07nu9JzzuDnkWa+sWkaKvN8H5UdzmihVzVijpI6OVeOIiUihki4g0iDcIso7G3yQ9b3x+J5eda710ZUfvPe18UFe7N+vOvXs573ee7nfuheImbN01uLTc3O6Vo46psVB/166InV762fkeahkzchxza5eBT/P497y9vhnhTfFveW847W6CtzCvUlmw55eOrydFbXdQ8P6XTtZf0v/uWgKdzDQzCzWOiGj422NdSmw9488cHsoXd3jvm9JXu63nIq8jblWdye0lp96ebD+sz1n+jJbxzyCOkQ5FnhkTNOfenmw7r91/8hPHMe7qJ7is8SaCbKQ2P0PQ87jkRAeegDD/ImyMsFYKrCo2pN+j/v5MILd6hQ5Fj1RWRsPyG8JPLul8VPxrr8Mvx9/pe4dKUVvj7GNkjHhEDL8+pQ0h/ZWFCBX+04gcrzbnxaXo/cwhqs+nE41n98yugxuigam1YaFD/Zm3U2t4iS+6EEzoLpyfeDAVQ0xWcOVFlMBWnL4icjNMhoQkGebqO7FRV1TXDUN4uKWj5j4YwlqijOXj4TCeHjYLvNF5sfnSVEzkjXhjoR0cyBqpSrnW7kFtZg6ay7Eeg/SjBfaNYZFTbG1BaPmFkZ86chv7QWr6fEmYTeMuZPMyQBBriX61CA4qH3M2TdESvesFUjBZpC864yGXklaLvWgdGjjJZil660ISF8HAAITQ3qNcqbEVgZKnqYj1VfxMIZYdh7sg47is9iQfRE/PO+r3DfxCBL3jrnyfMClsEmDzAcwPn0ZPB4LQIV/vzm30/iH/9qBtbtKsNdY2/HmgVR2HTQAXdLO95K+5HpmtE25C5GAATfnP6fubMMJ85dwuvL4xAeGogVOUehazryViWi2ulGeGggMneW4ZsGN/7XQ/fhYKXTo0MWr1jlxUZU5AWY7y/OoR/Jxlzx0AcpyBPqTmo1+8AZj05GvAyf3+S/nG8UcZDAEhn0RPt4U1d30vTwVoBCnxfOCENFXRPW7SrDPSGB+LPoCYidMtb08uFtw+gY5EIk/j9l1HsHPPYvN5rglcWu1msAgNdT4vCvByqFMQ/09zW1juNVwABM9xyPwYfY/JG1uxxZS2JQ7XQLSd7Nj87Cq/srUe104/ntJYicYMMrj8wU8sO8jSHdd1SERfuvqGvCr3eehN7RVURHy4cG+SMtceqgaUQ+FHDLIRdN00Zpmlaiadru3hjQSEBokCG1amXsyHCTN8Kn19ywU3jGPsGosMtcFA0/Xx+TjknOoSqRUCp0XBDJUp5ctfodFTbG1EGekp8ARAK0wdUijgGAR7LO2/Ep3Bp4c3AC3QcvL43FwhlheGlxDPJLaxEc6IdAf1/RoSl1jtFbNS1xqkgE07WiFnP8eqUlTkXW7nI46ptx+vsmVDvdQpIXMLRubLf5IiF8HLIWx6C+qUWU8ANGSJGS89uLvhXbpbAPherCQwKFSJqsFZRbWIP0pIhB1Yh8MOOWQy6apr0AIAHAGF3XF3W3rAq59BzeQjNWmjB8+spBzai58qKfr4+YevN1uc5Jd00uiK0jyxHIjR/k41DoPcjhMytp2evJ5ALm0Aavjt1aVIPTdU2YEhKImgsubH40Xghy+fn6iHuKPGxZJ4akiwEgY/sJLI4NwzuHv8GbK2YhPDRQVKLKPVzpPi90XECifbyl5tFIRb/I52qadjeAnwF4+1a2o2AGp85tLKjwULMjb4e8Yd4kgyvkkVdD3jzRymoarnRpc3TOBvhvwOxx82RZ6ttFluPMPnAGhY4LHseRkVfiVTFP4cZhVQrPrxEAMYMTpf95JaLLFdFXrdbJfWI2Fs4IQ3ZKHN5bNRf/9NcPIHrSHUav0SWGjPPqeXY0uFqQtuVz7D1ZJzxtZ3OLoNiSrsumgw6sf3g6HE43frMgCgtnhAm5CxofzRAohEeduWgmKSfyFbrHrc5jsgG8CKDjegsq9Bw87JKeFCFCFw2uFpxvuoq1//4l9p6sE8sTW4bi5LzLOw+BkMZGB3TBPwYgOPG0b3pJkAfFmSz3TTR3JqL9piVORcb2E6ZxNbhahBgZcaBldobCjUEOyQGe3Hlit5BB9PP1wbzIUCGRy2WPK+qasOqPxwytnwlBwsiG2PyFsBaxYtYsiELOoSpDx3z5TKGiSBK6FXVNWJdvyOtmJccgOyUOCeHj4LrajoOVTnG95dAg589futIGXYP4nLW7XN0nN4CbNuiapi0CcF7X9eLrLJeuadoxTdOOOZ3Om93diERFXRMytp8QRUfZB87g738Wjdi77xDJz70n6zyokIDBVnl6W7HJa6YHY5Sm4dKVNgDGVPyxd4qEwaXleIyVF66snmfHuvwyERslDyrRPl7QHGlbUWFjsG3VXCEalpFX4qGrrrz3G0d3eZeM+dNE3Jle4sviJ+Of91diQfREZO0u72qAsiQGje5WlNdexoLoiQC6CpBoZpVzqArJsZOEk0BFS0S1rXa6RdKy2ulGZX0zKs83Y2tRDRz1zeKFQuuRCB05AZTXIewoPot/SH5A5IZU7PzGcNMxdE3T/g+AxwC0A7gNwBgAH+m6nuptHRVD7xlkuhZv6EsIDfLH3pN1yNhxAhseno7lc6Z4VNaVnL2EuMljkbUkxqS2RxrYFHenJsdcGlWWoKVxrcr9AmXfXcasqcH4n3F342ClU8Tc07Z8jvUPT0dC+DiTiiPlAfjYAc9YsELP0V1M2eq8ktGk9m9cHvdY9UWTZjm1I9ywOAZbi2rgbmnH6FFGyC5rd7nQS290t+LxP3yB7GUzRTs5SsBWO91Yt6sMkROCsHqeXWj9U0u8tEQjQdt4pQ1nG9zYtmouAKDa6cbWohr4+foI9tRIpisSehpD75UKUAB/CmD39ZYbaZWitwKuWCcr6PG/847WeFSj6rruIYJE1XpWKotWWjC0b15hSiJNe0pr9T2ltR4CTbLgF33HhcW8VWXy41boHrJaJIdVFSddX6r85CJaXJuFi3vxaz1z/Sf60s2HPXReTtdeNqmBJmTtMwnIUZWxXBXK93W69rK+dPNh8XvW7z4Rn0eqbosVoCpFhzasEpVW+LPoCWKaTR49YHjBVNBBoZtqp9v0f6DL04sKG4P3nporOtjL/Scr6prw7PslSE+KQEL4OOSX1ooWehRCIZokbZ/6omYvnymSXjzkwsdB+0jb8vmIDsPwsJdV7Jjr1Vv9jxKLNKOj2V6IzR8vzI9EQvg40f+U6/hQuCZrdzky8kpw6UobWts7MDZgNOx32vDkg+Ei/Bdi88elK63I2l2OrUU1JqoredOt7R0i7AJAUGuzD5wxZoWdOZoQ2e7WogAAIABJREFUm7+I7dtu88WmlbOwOTVeUGXV7O3GoCpFhwDoobTqluONwii3jrMqKJGXB4ypec6hKlO7OTIOz2wrxobkGFNIhgxMcuwkbDlcDQAeTBleSVrtdCMhfJxHSzsehhkJU2w5ZELXgyh8FNrgXH45FGdF/6ttvIILrla8+NMoHKx0mqoxn99egtwnZovmE/I+KFTX3tGB6gY37rrjdowNMJaVqYqpbxchKzkGO4rPiuvI6YXUUvHrCy7cO95m6kBEx8mroK3Ce8qQd6FfaIsK/QNvngr/LFMYZe+OklicuQLAtHyh4wKefb8E7pZ2OOqbRdKTtqXrhhHhzJWNBRVIjp2EzPwyXHS3oLJzvY0FFR7dczJ3luG5vOP4tLweAAQ7gnvtI8GYy0qOdG4crBsQxanlFzbNnDYWVMB1td3UqDo9KQJOdyvGB/njlf1fITl2kqCzbjlcLSiIlE/h+6AxGd2C7sU94wIxNsBPeNZcYZG6DC2cESa6OFHxGrFdcgtr8MJDkXhzxSxkLYkRLw1+z9L131hQYcmlH8kztZuF8tCHELin3p33ImuqcM9JTqzSMkBXOzJ66JfFTxYJKt6arNHdimfeP45/SH5AeGjHqi/itzu/RNjY2/Evj8R66NSQHsjaj77EaB8NLzwUaSoeAbpvOm3l0Q5FD04u/KHv5FJ7Anm7csPwQscFfNtwBa/s/wqvp8SZGi5TYpPrsDz2TpFYjrxjCp9Q4Vl57WX841/NwI7is2ht7xAJTt5HFjBmcWnvfo6sxTHYdbLWCPX8NAq7TtYCgKnxNmnDeOtf66hvRnCgn8f9whO7fL2RCuWhD0NYeercIBJdkDwebsS5B0ViTny7Da4WtLZ3wN5Zgt3a3oEth6vRdq0D6UkRQpkRMJgSU4IDsKP4rOC6J4SPw5qfRmHs7aMRYvMX3iYviAqx+eMXSRGocrrw6v5Kk1GmY+P8ZH6M/DuKFcuyBUMBMo+cnxvyvmlmRCXzGdtPYEH0ROENV9Q14Zn3j+PlTyrwi6QI5ByqwtNbi00zHP5SiAobIxQMqSYBgIiXZ+0uR+qcqZg2IQgJ4ePw8tJYoQ2TtbtcqHbykv+IkEDsOlmL1DlTMSUkAB8cPwcAJm/+5aWxJkkK8t4JGXklWP3ecWTuLBP/k4udALP8hUL3UAZ9iEE25nSzU1yTDKkss0o0sQcjQsQDxrdD03Dax+p5dsEf3nTQIbZDwmFvpf1IFJoUOi4Y0q2fVKDtWgeOVV/E43/4QnDkeROP/NJavLTkAVORCzfWGwsqhNYIT7DyhhTc8yM+/GB94K3CBt68TfqeF2u9eqASq34cjlf2f4Vf7TiBtHeNRiLvPTUXm1bOwrFvL2FZ/GR8fcElwmMUxuLNVXIOVYn7hF7gfr6GSqe7pR1bDldj9CjDHDS4DA2VNQuikDpnKs5evGKS4nXUN+O8qwWXr7SJ9YiSKM8MybCTk8DDK5mLorFt1VxsTo0XeQNK6pJekEqM3iB6QoXprR9FW+x98KYZvFmArndRFYky9rPsz/Rpv/kPQXW0orbR7+Q3DulHzjhNdDO+P/r7kd8fNjXI4M1/5fHJ++GfeXNqKxqdvF+Ziiefk8GA07WX9fgN+7qlYsrHZdXaT25wIq9LtECr88NphkfOOPX4DftMvUJP117WY39XYKIKclrj0s2H9eRN/22iKhJdllrOyX1WvdEq5esuN+KQm0crdAGKtjj84C3EQIklaj8HdNEM1370JQBjKvzKsljkPjEby+dMMQk7ARAxz4y8EvxqxwmUnruMS1fakJ0SJ+hmnBnDE6XEtAix+YvluAY2T3xRARJ5k0SpI+olJem4jAFVmBIouRYVNkaUoMst/gaDx86lEuTxkLdMyWk6N66r7cJTpWOiZWQqKp0T8nbl6/nYO0VC2XBZ/GTYJwSJ8biutou4/PSwO/Dkg+EiTEP/O1Z9EVVOF0b7aKJdXIjNH66r7fjg+Dn4+fogdc5U0baOwmuUC5BngSQhwGctFIoh9U6K++cW1qik6M2gJ1a/t36Uh37z4B6M3N2dPGPZm+aeGC/S4F4SL16i7ewprdXzjtaY9m/lofOm0nycVmOXPXKr5btbt7vluPfobTt9ie6On66L3AKQWv/RtXl8S5HwePn1pAIdeX1als4Nn+HQuaBtUREYL+SR75NZvzM3bqZCNfLi+b1C95l8f3GPWy40kmdVvEiJt1Hk500VFXUBykMf2pA9OvJ2yJslFcZCxwXh+VBMlHvJaxZECQ/KKslEbIuM+dNEk+fntpfgg+PnBJWRvCvZo8w5VAX7nTYP2V4rEAODEoD8e6u/eVKXqwNaeeAUnyUhp96Ot3bn7VfUNZm0cLiWN42NWEL8ONcsiBI5CMAQUrPd5ovMRdEIsfmL9Yhp5LraLmY1Da4WVDldSJ0zVRxrxvxpoqkEebqZi6KRubPM6AbUWdwFAN80uJE6Z6r4bJ8QJJanmDfRXIMD/ZB94AyOVV/sun86qYz2CUFwtxjePKdcEu4JCTTGxmZYJOyVW1gjZg+Zi6IFi4rOG29+rdBzKIM+CEGJLVksi4cjqCkB12QhyiF/EOSu8JRkAoxQCPHJM3eW4dn3S/DCQ5H44xOzsTk1HseqLyLt3c+Ndnadhp/TyF5eGosNyV37onHzqTJPzGXtLofrarvpOL39zYW8+LYBeISLKOQgJ3utzuuNXofrhXBCbP6iOQMlb4EukSs6T/SyJMNPL2HAeFmTMea9WdcsiMKO4rO4fKUNbdc6RCgGACJCbdhRfFYkhRvdrUKWlhvBKqdLJJApvEUaLc9sKxbXavU8u6lDFiH7wBnMiwzFc3nHkX/8HFa+fRRrPzwp+oCOHuWD9KQIES4DIJgzHOlJEQCMe84+IUi8gHjFKJ0LgjLmNw5l0IcArCRTybAT1S0jrwR/u7UYj751VHhy3Mu12uaaBVHw8/VBo7sVttt8kZVsNKymjjNbi2ow7U6b4CIXOi540AqzD5wxSeY2ultF8REZw7TEqeL/ZHRlbzYjr8RkNGWvFoAwTPL6AISqIPfyZEqnvI/uwGcjXHucQ/DHO1ujEXea1uF5g2ffL8G8yFDxf7qenAFCxpi/kNOTInDu0hXBIiEK6ebUeKR3UhbTEqeK5hVkEInCuG3VXLzwUKR48Te4WoTgVsX3TVj70ZdYlfsFnt523FK7Pi1xKmKnjEWAvy/+/cR3mBIcgEB/X/HyoW5JnFdPM0ViMrVd65IaIJAB5y+RNQuiLIviFHoOZdAHIcir8xaOIPCQROaiaMTcdQc2rZwldFNkL1cOC0SFjRFefnpShEgu8sYCYwP80OhuhetqO555/ziydpcL2VMASI6dhOe3l2DvyTo0uFpwrvEHLIufjOwDZ/BpeT1OnL2EjQUVQsmREqwk3woYRqiyU2qVQFxp/vLw8/UxZg1bumYNvNhl3a4yuK4aVa6cDsn/pv/xc8h/099cL4Wad8gSwxl5JXjsnSKh+84bT5CRJoSPD0RB+femNn107FYgXRsAmD7pDmxINs5VxvYT4nzkHKpCa3sHggP9TOE2PisCYNL5oST5L35yL+4NteGH1nZA0zA1JMAUrqPje66zZuGf/moGzje3GEY3JU5ordB1opc4XTsK9wEQLwB6gdHxcykAoEvXX3nmNw9VKTqEwEMMFILghl+uECVQZWHG9hPIfXK2SY7XqoqU62x8Wl4vNEGALo+KVxuu/fAkggP9PKoPNxZUoNHdKrrOkydLlY80VaeCIi5LQLzztMSpprZmuYU1mBcZioLy7wGYDT/NBJ7LK8GGxTGmdmdUPMMrXym8wVvwyeePxvvM+8fR0aFj+qQ7xHGQ9823IxcMkdeZljgVwYF+Js0SMtrZy2cK/Rze+o+qKIGuln9yezYaI5colqtLybCu/fAkTtVexjN/akfpd5dR1/gDHE4X7psYhLEBfqZqzkLHBdgnBJn0W/g45PuSitX4uaXwUHpShIn1JBe88dyOMujW6Ff53J7+KJbLzYMzIzhf2IrXS5/ldUnOlL7zxiLgnOdpv/kPD543Zy4QE4J4w5xxwpfjjIzHtxSZ+OtW3HTaFn2WmRx8eXnZv3ztMw++Na1DMrAy40dmVXBWB/+xYutY8eT5b84+4fumbVoxSYj9MXN9gf7I7w978PX5WGUmDf3fSr72rf9y6LNf2q/nHa0RfHJeP0DjjfztHn1Paa34H5dAtjpGzmKRr6vVefV2nypYA4rlMrxAU1Ty+IAuXQ/urVnFlwGDW7y1qAbpf/xCeEjcG+KhBGLQAEDs3WNFdyQAoorPUd8skoCbDjrw9DajDySJRmXtLheJM6Cr0w2N+81H44V3nZFXgkffOmqKcXNmDa+gJI+VJ/8o3EHr3hnkL/IBFFIiL/WbBrdH4hiAKeFLoK73j71TZNqns9loqvzYO0Wmzk28DRz3Qmn/PIlNfPz/rnTib979XMTrKSeSfeAMVs+z457xgRg9ykcwQqjil/d75c1LGlwtyNh+AglTxmL9x6cE+4Ri8E/9j3ux/uHpKCj/HguiJ6Kg/HtxrXhpf/aymdhaVCOOff3D0wF0hcB4JSodK81WqCKUn1cu8SD3Q+X3uMItoidWv7d+lIfeO5C9GvLqrDxPWoa8MSuPm29D17t47eQNysvJvGjiMcucY85ljtvwiQd3Wua/c09c/r/Mwafx8LHz7VpVt1px4OVZDd8fedScx09jpRkPvx7ePHarxh+6rovz+JevfSa8dAIdzyO/P6zvKa01HSOvpuXXi/ZJy5MXzmdANPbkNw7pCVn7THxw2ha/h+i+SsjaZ+LIy41SZC9evgf5uVH88hsHeuihqxj6MADXN+F6GhzkRe09WSfajfHlCh0XhPfIY7hEp5Njyxl5JZaxZKtYOI/BUnKUe5VWSntcKZCvx71kilFzjXXAiNk+8/5x3D9xjIgLU4yXxkzHIuchuGdNKoSkGU7ng5QIKbZPMWf6TPsjHvn6j0+Zche0H4r7bzroQNu1DlQ53dj61BwRf05PisDfbSvG9El3YPU8u1BUpHZyGdtPIHv5TNHeDQDcLe0IDvRD7F13oPS7y8ZsqbN1XGt7h0ie2icEwVHfjET7eDF28v4p5s0rg+dFhiJ2ylgAZh12OhZeJyHneGg2QucAUN74jUKpLY4gEFvFz9dHPDAy9YseoIUzwoT4FQ9vcE4wJUBzDlXB3dJuoiHSdsiAkGECIMIQZLy5MeeUNiojJ8oe567Ty4mm9Vm7y4Ux4gJigBHGWfvRl3h+ewkc9c0irGGfEIQ3V8wSxtsbk4SziazOF51LCtcQG4ioerxnasb2Ex70TOrdKYcraPsZ86cZhTspcXjz0XhkdTYPcdQ3C/bK9El3IHWOYWif2VaMvSfr8FxeCTYddIjtVl9wY/U8O1bPs+PbxiuIvesOvPapQwixNbpb0XatA+0dHaZuRUJYbfsJJMdOQs6hKlH2T8qcDa4WpCVOxT/v+8pIWnZeCwKFn1a+fRSl314yhfpouaiwMcKY84bmCr0P34EegMKtgYxsiK3LOHEtabnJLsV00xK7qgxJOpf+T/rXvKMMGVPaB/dqyZD5+frg9c4WdtxbJk+SvD+gq5sRj7muWRCFtR+exOhRXUYfMEvBclYOed+O+maDC51XgrZrHWi71oGxAQbrhmLxmYuixfryuZOZNXJ8nfZP35OnTOAGi7xSzm7h1aB0nCE2f2TtLsdX3zfjjRXGcaz/+BQAIDO/DHePCzAMYCfN88GIEGz6LwfePVKNDYuNWQDplr+xwpDGrahrwv0Tx2BORAhiK534cWQoDlY68er+SrRd60Cgv684D3RMwYF+YuwJ4ePQ4GpBo7tVNHCme4FmDvRy5NfPz9cHk+64DRs/qcCbK2d5vCCJIsvPoULfQHnoQxicX827C9HD5qhvRtqWz8UUHejyDHMLawTfmMI1PIlJy1IBE3nU/H/OZoN//VxeCdZ+eBIAhLGjF0KifTyyl8+EfUKQMBRAV6ckR30zslPiRDXlqbom/NBmcMkpWSfvU074JtrHi5eSu6Ud3zZcwbL4yWL8nE8uV57yBDHJKvAXnZ+vj6l7E40DMItM8ZcmhZ8y5k+DfUKQMPD2CUGmmUZ2ShyykmOQc6hKeNwLZ4QhKzkGgX6jxHbTEqfi/35WhbvHBkDXgS2Hq/Hb/C+xLH6yOOd0HUksi14aJINMSVHqdgTAlGDP3FmGY9UXsbGgApsOOoyq44DRojqZXgC8Jyitm50Sh1cemYn7w8aIojSgq4iMXy9lzPsWKoY+xEEGyaoX6IsflGJZ/GTsKD4rvF2rTkYc3AMmUBiEe532CUHCqyVDLcdVeSx1WfxkrNtVZuquw7nxtN7ek3X4f599jUB/X7Rd68Av50eKfckl/y9+UAp3Szt+OT9ShAtIAZD3unzxg1IR9yZPlnvTNJZX91eael9SHJtmNHLMXB57RV2TOBet7UZ4Q9OADckxJo+WDD5gGNLk2El490g1Av19RfVna3uHKd7PXx6N7lZsOugQTSg4W8jP10ewVyhmTvfAy0tjkX/8HA5WOk35D3486x+eLhqX0HWS+eKy7AK/T+TZoNX9pHDjUDH0EQJ6YMgI0HeEsQGjjWTpzjJTfJsbW/rMqWQyjdHd0o4Qmz+SYyeJ7u/kpdknBHkYc+6VNV5pw9aiGmxYHCOMs7PZEA8jg0izhfDQQHx36QfcExKA0aN8hIwrGRNeHZueFIGvzxvdj9KTIrA5NR7ZKXEIDw00nR96mW066MD2om9FdScZQuoA9NX5JhES4h2cspbEiPJ2qjTNLTQLXlXUNWHlW0eFd5u5KBqaBjjOuwB0SQE46puxLr9MnPe0ROPlI2uirJ5nN0k4UIgma3c5cg5VYfU8OzYddJj6jmanxCE9KQKvHjDOB33OL61FelIEPi2vx0t7K3BBmoXRtchePhMLZ4QhPSkCz+WVmGYkXA+IyyLQscvUUfk+UugfKIM+TPDy0liTR0cGL7ewBqvn2bE5NR7/9vM5JuPpDTyUQwYx0N9XdBzKXj4TUWFjTNxtXvrNucYNrhacbXDD3dKOHcVnAcDEoaakKXXZAYBHZ0/Bts/PYl5kKJbFT0bGjhM4Vn3R1FAaMEItLy15AABMWiEbCyqEYQaMWcnqeXZcaW3Hxn0VuGvs7aaK1xCbP95cMQsPTDJYHCQu1Xatizv/4gelomOQo75ZcOLpPIXY/HF/535yDlWh0d2KNx+Nx3ur5gr1xNb2DvzrgUo4zrtEuIQMeHbnzIXCQ09vO46Utwrx9NZivPhBKRz1zSJs8vLSWAQH+uGr75vR6G4V16vB1fWSpMpMPruYEhKA6WFBeK0z98CvNTFdnM0tsE8Iwj0hgZaqmDykR8Y99e0irMsv89C8IYeBXzOFPkZPuI299aN46L0Pb7xezgGXudvEsZarG/k2+HpWVZAcssa2zCXnXGfaP98+192mcXE9duJ7y51xaFvJbxwycbWpKpJzsLmGN6+EpcpROo6VOYX60s0G95u2wcf21n85TMfIuyzRvpZuPmzieBOHnj7TWPk6tByNkcZF69E4+LHzcyhX0FpV3fKqXt7hSNbY52O2uuZW9xrn88vLKs75rQOKhz5yIMczSaObGgNz1otV/JM8KXdLOzYkdzUq5gwNWSyM75vYJboOUwy6wdWC1LeLcN/EIKTOmSr475k7y2C7rUuwicZH+5N54RRnXv/xKWQvnyk40lxn5d7xNjz5YLhgagBdTA7ioFNS8MUPSg0Rr/MutF67Bv/Ro/DeU3OFaiWFrl54KNJYv5OlAwDPvHcc0CCWJwYQ15TJmD8N1U63yF2syy9Da3sHvm28gjV/ESW0cejYiaNNsXHAUCjckByDzJ1lorern6+PYPZQTJtz42kZeVm61iRhXF7XBF3XkZeeaIr/03UndhR54lbMH6v7QMXJ+w49jaErgz4MwJNWvDR9c2q8ychbFRwRCh0XsPq940ZbNybSZJX8kkXCMvJKRLEKge+30d0qjCLRC8m4cvEnWSCLQP9Ljp0kXgp82b0n6/DukWo4zrtgv9MmXiyU2KMCJC5wFRxoqEi+ur8SLzwUKRKANN6ntx1H9CSj6UOju9WkWAjAY8xUUMObXVMi9tX9lYIDXtd0FU//5F78ODLUpAHOi4lIrphi2a93Xg/+suMGmPZP2yItcgr/ADCt1+huNQmFAfBIetJ1VknNwQFl0EcY+EMnV0BasRSscD1FPW7AAZiqMKmaErBWzSMDRAaHDN3XF1x4c8Usk9ctj4krFJLaIDFvOAuFdF42FlRgWfxkZOaX4Y0VceJFwz36+ycaxpoqUPkMgasz5pfWmjxW/tKkFwUAD845fc8LcV54KBLrd5Xh64YrCBw9CpETgkwzGvk8ejPcfCz8evI4taO+GZsOOjyqa+XZSk/uC4WBh2K5jDDIIkc8bEEsBQAeHG4O3uRZLgyh9RpcLWi71tVoIjTI4DpznWvaF/HfOU2Qko2bDjqgacCU4ADkHKoyGXN6sZAQGP9MeuDUrJgaPOQW1iDE1sWZTwgfh4jQQJEspWrUnENVmBIcIAwaHTd10KFGE5mLosVswFHfbOKo03GRod5YUCFK+NOTIkQLONr+kw+GQ9OAS1faMCk4AG8sj8P2XyRic2q8iaVCCU/OOCLd8awlMWh0t4pz6C0BmdHJTnl1fyVOf2944xwUmiEuuixIpjC0oSpFhylkb4s+y56zPK1Ojp0EwOxlcyO99sOTCPT3Fc0Q0hKnYvV7x7Ft1VyxHUd9M/71QCVOnL2ErMUxePVAJXKfnO3R0MAKPP6fW1gjytuJAcOpghSHB8zMGQqDvPlovEntEYDoXUmGjopfqNKWzhUxdRrdrfibdz/H9LAxCA70w7L4yXh+ewleWx4n5A9o26fqLgvdd84bf/dINU7XNeHvd36JTStnCQYKn2VsOugweefyOQFg4omH2Dw18Wk74tz8RZSJ007fyxxzOrfe8iQKQwfKoI8wyNNzXvJO3Ydyn5htmQQ7Vn0Rp+qa8PryONGqrsHVAl2DoM9l5JWIcvZLV9qwcEYYpoQEdFtwwkvvqUenfUKQCGFQLJpCKrQsCT+tfPuoCKGQJ81FwNwt7aInZ3ZKHJbFT8az75fgvolBWD3PbhLg4ueHjO3Mu8eKSlIAiA4bg4TwcQgPDTR5wNNCg5C5KBrHqi/it/lf4v6JY8S4KczEC5tI5oCMMKdaEugF928/nyM4+wnh40wzBRovhXuAripQKlSia0/fZy2JEeefv8gUhjZUyGUEggtqUW/LjPnTkBA+DrF3j/XQKiEvbmtRDaZ3GhQyBlFhY/APyQ8gt7AGgBFXf2NFHIID/URLO+I307Yy8kqEjjifGfCSeKBLDIv42yQFQOJigBEuuXe8DalzjLZ4z2wrRqO7VYQb0pMiMHqUD3QdgleeX1qLrOQY0bneqn9pg6tFhHSefDBchD4Ao6UaSRP83bZiuFuvCQ+79NtL+G3+l5gSHCDK8ENshu4MKRumbfkcn5bX41RtE558MFy05ss5VOXB2aYXHGDObRQ6LuC5vBKTxMHLS2PFS4zauSXax5teVFx8jZ9/ZcyHB5SHPgLBK/+ArmKRrCUxlp459+IIPJmWX1prUhrkiUG5wUGDqwWnv28SCTtK/K3bVYZ7QgLF/oCu+C6FNriELC3nbDb0Vt49Uo0n/iQcmflluHSlDfeOtwkjS1WVgDGToKpNwAgzpCdFmBKPAARThCQLxgaMFslVUiyk7dLMwFHfjOfySjAlOAC/+Mm9IgZP46QK0xfmR2JKSABu9/fB2IDRHmJo8vmn8BaX5gWMRh47is8iPDTQ9MLh103e3vWutcLQxk2zXDRNmwzgjwAmAugAkKPr+mvdraNYLoMXMn3teg86JUiJvifrmwPep/DUr5K/UCiObbUO0Qx54+bH3inChsUxWDgjzGCuvHcc762a60FFpHFQbP/Z90uw9ak5ACAYI5wHTiEe4tVnLTG44G3XDDlbisHTy8pK96b020s4WOlEWuJUjzoAMvr08spaEmPisVvNjACIuDfQpTHD+7Jy6iQxgWgb8jlVNMShh/5gubQD+JWu6/cDmAvgGU3Tom9hewoDCHrAZfaEN5AhJFqh3B7P2zbIS6VkJZX983V4eIZCCzQ22v5dY2/Hul1l4uVwb6hN7OPEuUt4dX+laZuhQYbs7X0TDaOYfeCMkIol+Vhehv/L+ZFCu/2FhyLx3aUfsCx+MkJsRvJRNubkgTe6W7Hu41OYFxmKnENVJq56aJA/Eu3j8XpKHDanxmNzarxg5ciqhDTmNQuihPEmz3zNgijRXi/RPl6Eq178oFQwgQodFyyVKbu7NgpDH73GQ9c0LR/AJl3X93tbRnnogxfcy+4p28GqWKkn3h83chsLKtB4pQ3BAaNNXe95QtTd0o630n7kkUj9tLweBeXfe7BEHPXNonAGgMlj5Tz2zJ1lKD13CblPzDbx4Mkz5h2g9p6sw47is3Bdbcc3DW5sWBwjOOoATEwR0mcnBgpB5q/TS4HvS+5qxJUiZY88+8AZzIsMxSv7vxIqloDBQefdk5QBH/roqYfeKxotAO4B8C2AMd0tp7RcBifkvpz9tU9d1039QuWu9nL/So7TtZf1hKx9evIbh4TOCdcvoXWogz3poiRk7TP14CSdGLnXKB+P3PuU6+Twdax6udJvrt1CujJW50DW5eHHz5ejY6NzYNVfVWH4AD3UcukNY24DUAzgr738Px3AMQDHpkyZ0h/HrnATGEgDwI0RGWZvDYY5eONjbgjll4AsvnXkjFOf/dJ+YZj3lNYKQ08G15t4GX9RWBlfLkomrys3arYS0bpeg2XZ8MsvMquXgsLQR78YdACjAXwC4IWeLD8YPXR14w8ekKGTlf64l+ztesnesJXqIFed5EbpZnBjAAATUUlEQVSeFBu50Za9b/rNDSofI38hHTnj1OM2fCLUJ+n7hKx9JkVKeTvyOZBfInwsZMj5C0R+SSgMH/S5QQegwWC5ZPd0nYE06FY3ujfpWYWBg+xldifd251xlw0jX14OgcjGUJaTlZelbcgG93TtZf2R3x8WErzyslZhHO7py/uldZduPmz6TDMMWe6Wh3EUhhf6w6D/GIAO4CSAE50/f9ndOgNl0K0eboJ6AAYnuNfrTWfbmwY3j3HLsXH+t9WLQzauPFQih2LI+HKDPut3n+h7SmtN4R95duAtzCJ767RNHg6i+5jPIPg2FIYn+i2GfiM/A2HQrabg/OZXCaTBje68cG/J0tkv7df3lNZ6hC6sjLecFPVm9OWEpOyt0/e80QeNhSdSZSPOxy3vm79Q+Pfqfh156KlBHxHyuVZ0ND9fo4cjaXoQPU1h6EBWaOTNGqjgSaYBAhC0QdJpX//wdPx255eiXRzgSTHk7diID97a3oHNqfEexUmcQkkFU9QwhOiRnObI1+f34PU07BVGDpR8LgMvLqHCkfSkCCTax+ONFXFC/0L1PRxa4MacN8AmfjcVIQFmrfDWdkOoyz4hCLlPzkZ4aCA6oAt5WqsemLwpsp+vD1LnTMU3DW5RLcuLk7icMBnkjPnThKYNSSnQMiE2f6x/eLqHgJncdFlh8GGwXZ9hb9BlXe/sA2dwrPoiMrafwN6TdSaFOoWhCRKw4l40YJbU5U2oMxdFC30YMqLTw+6AfUKQydCS4eV6NOQULJwRJppu03ZIcpeEyoAuITSupw50SfSSWNm6XWUmyV1Zb0dh8MFbJe5AYliGXGRZVv5g8HZmO4rPmrSi1cMzdCGX4VP3H16RCVi3VyNRru46NfHP19O7sVpH7ngkL0+evsLQQn+16evXStGe/vRHUlRmRnhjSNBvnnBSGB7gXHIrlozVZ2/3SU/W78l4ZAaLwvCBt2rm3gR6mBQd8iEXK+Eh7gVZvTX5d9kHzpimugpDHxQqSbSPt+zQZDVN9iZi5U1O+EbHQ7rzCv2Lvg6HOJtbTH1jBxpD2qDfqpocxTxV8mn4wdsL3cpIdxev7q1ptArn9T+6i3Hf6PPOFUD57waXocdP2v4DjSFr0OmE9lTu1RvkBgwKwx99abgVBg+sXtTO5hahtNlTo07LW/3OPnBG5Glo2YHEkEyKEmvB3dKO0aN8kJ0Spx5IBQUFAN4lnEkimssi92RbXO6YagNk3XoAQoterifoDQxrHjpRx7y9i1T4REFhZIGHQsh75v8jyjI14pYprtdDiM1feOTESuK1CdSkO3v5zAHNlQxJgw4YJ9h2m69H7GowckMVFBT6DvyZDw3yF03EyZBn7iwzmnoviRFNwWk9eTsyeD9daspCFFSrcC81GRkoDFmDzos+ZKiYuILCyAGPlVOLw7TEqcIGpCVOxbPvl6DB1VWl2+AyQinkyVvF1WUDn7UkBiE2f9FRi7x8Wm7NgijT8vRC6U8MWYPurfktnwbRd1Z/9/XYFBQU+g+c1UTVumSkgwP9EBEaaAqzbCyowKUrrdhYUOHR9xXoip1X1DUhI68EGXldL4SM+dNEj1fqiZuRV4Ks3eViHfreSkaiLzEkDTqfYsnJCe6d8+XkN3BfnWSrkI8y8AoK/QdirtHvEJs/Av19TcusWRCFsQF+ItnZXZ1A2zWjr23W7nI4m42KXorFA4bAWnZKHLJT4rBmQRQ2FlRgY0EF0pMietyft7cwJA06YEx/5E7pcvl3g6tFNMrdWFCBjPnTxP9uxLjfiEHu7qWioKDQP5DrEMiwcm0dHrKVFTkpNBNi88foUT4i7k7L5ByqQts1Q+SNrx8VNgYvL43FmgVRJk2f/sKQM+h0QXhign9PXntGXglWvn0Ujvpm0/oUkuExNx5Lo23J+/NmkK0SK7RdQIksKSgMJOQwLIVM6G8+y5efdXpms1Pi8Oaj8YIeTcZ+Q3IM/Hx90OBq8ViXvP7+xpAy6HSy+HQKMBtpMuCr59lx73gbNh10AIB4G1OcjBvY1vYOEUuTQzN0A/DlyfjLFCn+mb9clDFXUOgd3OhMlxwqvv7GggoR/87IKxEOnfysk7NH2yHDTctGhY0x5Lg7ZZq5PaJx9vfsfMgYdPK66QQTeDLjWPVFpL37OR7fUoRNBx144aFIMVUKDTLzSLnBlmNf/KLydehz2pbPhRHPmD8NGwsqUOi4AKDrotLv/k6KKCgMV/SkwlP+Hz2nnNZIbJRGdyv8fH2wLH6y0HSiZ72irgkNrhbTdla+dRSPv/s5Ut82a+9zj5/PyAdidj5kDDoAIYfK42PkrTubW5BfWousxTEYG+AHAAgO9DPFzniIRvagKabG42p8HdpniM0fuU/OFtsAANfVdqx+7zie3lpsvFS2fC5uBhLtUUZdQeHmYfUsyv+Xwx7kfBEHnZYLsfmjtb0Dmw46kJ4UgfzSWiGfTLm5x94pQtbuciyInij2NyUkEGNvH42s5BiTjdhYUGFy3Mh5pL/7FT2RZOytn1uVz/Umceqtx6PcBZ3Ll/Kmu3KzYG+NheWO7Xx/R844RRNhauB75IxTbL+v5TUVFIY7uusvy/sGc5CEMtkDeh5X5hTqSzcfNvWDle3DntJaPfK3e/Q9pbX6ypxCfWVOodfesLIkN/WS7S1gOMrnWvHOiSOakVci2siFBvmj0d2Kyvpm4SmTjoOzuQV7T9Yh+8AZOOqb0dreIbrJAEa/yJScQhFCobct9xCsaE6J9vHITokTsq0VdU3I2H7CRG9SUFC4echMFDnPxVsO0v/tE4IEdZE3PMlcFA3bbb5ocBke9tNbi7HiraPCsw6x+SMhfBz+8PiPkBA+Tigq0vYaXF1UaBoDZ9D0hZ5LTzCkDDqBhy/oRJMxpcRFzqEqvJ4SJwR1SJTn0/J6ZOw4gXmRoaL9HDFmACOZqgPYdNAhYmmPvVMkKJBWNCcenyNEhY1B9vKZCA70E4psKjmqoHBrKHRc8CAeAJ6qqZTQ5ElNropI9MIQmz/SkyLwwkOR0Dr3Qetm5JUgONAI31Kj8MydZThWfVGEZMgRJNAY5CrSfkNP3Pje+umNjkXddSSiqQ6FOmgqRNMsCpXsKa01TbX4ds43XRVTK/65u85HNLXioRjaLw/BKCgo3Dz4863r1+8cdeSMUzznPKxK69KznZC1Tz9yxukRcqEwCw/VWNkQeua5zbEKzd4K0MOQy5Az6Lre/YXkcW1+0eQLScbW6sXgLU4mj4FfSFqHr8svuIqfKyjcOqyMo5w/o+USsvbpeUdr9PgN+/SVOYWmZfgzatWqkNsPnpPjRp3H57njSNukcfTG899Tgz4k9dB7AoqvZy6KxsaCClMJLlWRhtj8TbEvio3xWDktb9UYmKZTGXklACA0luXCBNJQVlBQ6F1U1DUha3c5Kuub8XpKHHILa5AxfxpCbP54emsx/Hx9sHqeXaggWlWE0na6e94r6pqw8u2juH/iGGSnxJnsBIVXGlxGO7q2ax1wnHfhzZWzRD6NbM3NYljroROs4lNEX2pwtaCys8iIG3MqJthYUAFHfbOIfROtSTbmQPe9JUOD/JG5KBp+vj5odLcCgFByo7GoFncKCr0PerZWz7Pj334+B4n28SI5SjkvP18fBAf6eciEAAbtuNBxweMZlYuRACPm/t5Tc4VcNy9s5LF6P18f/HJ+JOx32pBzqErk7zLySvrHBvTEje+tn94Kueh6V2d3mTLEQyny9Iz+v3TzYT3vaI2ekLVPX7LpkNepltVnK5yuvawfOeM0xe/lMI+CgkLvwltIk4dQKCS6dPNhj7DMntJaQS+Un1Gr7fKwC22Hh1n4trn9saJQ3ygwHGmLHFTiz71h0ligSjC5K0mDqwXpSRHw8/XBrpO1+EVSBM5e/MFUEQZAZLi5NCZ/w/I3LRUvBAf6IffJ2Ui0j8fLS2OROqdLj1mxWxQUbg1WmklEEZTZLVwPnZQRv2lwo9HdauoHml9ai+zlMz0YKXIRE8201370JU7VXhaqi4QQm7+wIfxZp+pTACZxr77EkDTonOPNjTad5I0FFViV+4VJdKvQcQGPvWNIAqTOmQoAOFzVgDdWxJm2ERrkL4w+YIRrVs+zm7qcyHQp4pxSmOZY9UVk7DghuOwKCgo3DyuBPLnEXuak5xbWiO8S7ePxekoccg5VIWt3OZJjJ4mQiX1CEJ7eWmxy2uQKdKIqnrt4BY8n3uMh0tXgajHJgYjc2vxpRix+d3m/0ZaHpEEnjneifbzppJIKY3pSBL679INJoyG3sAavp8Qhc1E0dhSfReaiaKxZEAX7hCBxIeknt7AG6UkR2FhQgQaX8ZkuiNwdBYDHSyW/tBbZy4zxKSgo3Bq6y2EB1k6WLLKVaB+PNQui0HatA5n5ZUJgq8HVgm8a3MLJs9p3xvxp2FF8Fn/7kwj8/rMqDwVXcuqo7yjF1Bvdrfj6gksUL/YLehKX6a2f3qQt8vg50ZDk2BmPfXPuqkwznPW7TzzohnwfcozNimsqx9pU3FxBof8gP5/8WZZlOuTcGj2vFOeW1+Ecc15TIkuGUP6OP/+9ZQvQHzx0AAsAfAXAAWDt9ZbvbYNO+inccHNDzo0711aQiwNoG3LBghVnXb5Z+PJ8bEq7RUFh4CA7WN6KETkXnYwxX4eMuaz3Iht9vq2+QE8N+k3z0DVNGwWgEsBDAM4B+ALACl3Xy72t05s8dOKfnv6+Ce89NVfEu57eWgzbbb6iU7c3Lvjek3VY//EpMVWiOFj28pnILazxSLTwbV1P41xeXkFBYWDBG88QxxwwCBCuq+34psGNDYtjDMVWKaRK9SxZu8vx1ffNyEqOwcIZYSY70Nd9D3rKQ78V7zwRwCfs868B/Lq7dXqTtqjrntOn07WX9bgNn4iSX76cvB6FWzhkWpOCgsLwg5WHLodo+W+awZMCo6ykyGftfQX0A23xLgBn2edznd/Jb5Z0TdOOaZp2zOl03sLuPEG0JEKIzR/3TxyD4EA/k965twy5nLSUhbcUFBSGH/jzTUQHEt4CPJOs1GYu+8AZJISP81BSHExtJm8l5PIIgJ/quv5U5+fHAMzWdf1Zb+v0R+k/n1r113RIQUFh6MObzbCyKf2N/ij9PwdgMvt8N4DaW9her8CqmEcZcwUFhevBm80YSgWCt2LQvwAwTdO0cE3T/ACkANjVO8NSUFBQULhR+N7sirqut2uathrAJwBGAdii6/qpXhuZgoKCgsIN4aYNOgDour4HwJ5eGouCgoKCwi1gSJb+KygoKCh4Qhl0BQUFhWECZdAVFBQUhgmUQVdQUFAYJujXnqKapjkB1NzEquMBjDRx8ZF4zMDIPG51zCMHN3vcU3VdD73eQv1q0G8WmqYd60mV1HDCSDxmYGQetzrmkYO+Pm4VclFQUFAYJlAGXUFBQWGYYKgY9JyBHsAAYCQeMzAyj1sd88hBnx73kIihKygoKChcH0PFQ1dQUFBQuA4GtUHXNG2BpmlfaZrm0DRt7UCPpz+gadpkTdMOapp2WtO0U5qmPT/QY+ovaJo2StO0Ek3Tdg/0WPoDmqaN1TTtA03TKjqvd+JAj6k/oGnaLzvv7TJN097XNO22gR5Tb0PTtC2app3XNK2MfTdO07T9mqad6fwd3Nv7HbQGvbNn6ZsAFgKIBrBC07TogR1Vv6AdwK90Xb8fwFwAz4yQ4waA5wGcHuhB9CNeA1Cg63oUgFiMgGPXNO0uAM8BSNB1PQaGUmvKwI6qT/AHAAuk79YC+E9d16cB+M/Oz72KQWvQAcwG4NB1vUrX9VYAeQCSB3hMfQ5d1+t0XT/e+XczjIfco7XfcIOmaXcD+BmAtwd6LP0BTdPGAPgJgHcAQNf1Vl3XLw3sqPoNvgBu1zTNF0AABkFjnN6GruufAbgofZ0MILfz71wAS3p7v4PZoPeoZ+lwhqZp9wCIA1A0sCPpF2QDeBFAx0APpJ8QAcAJ4N3OMNPbmqYFDvSg+hq6rn8H4BUA3wKoA3BZ1/V9AzuqfsMEXdfrAMNxA3Bnb+9gMBt0zeK7EUPJ0TTNBuBDABm6rjcN9Hj6EpqmLQJwXtf14oEeSz/CF8AsAL/XdT0OgBt9MAUfbOiMGycDCAcwCUCgpmmpAzuq4YPBbNAHZc/S/oCmaaNhGPNtuq5/NNDj6Qc8CGCxpmnfwAit/ZmmaVsHdkh9jnMAzum6TrOvD2AY+OGO+QCqdV136rreBuAjAH8ywGPqL9RrmhYGAJ2/z/f2DgazQR+RPUs1TdNgxFVP67r+6kCPpz+g6/qvdV2/W9f1e2Bc5091XR/WXpuu698DOKtp2n2dX/05gPIBHFJ/4VsAczVNC+i81/8cIyAZ3IldANI6/04DkN/bO7ilFnR9iRHcs/RBAI8B+FLTtBOd3/2ms92fwvDCswC2dTosVQCeGODx9Dl0XS/SNO0DAMdhMLpKMAyrRjVNex/AnwIYr2naOQD/G8A/AdihadrPYbzYHun1/apKUQUFBYXhgcEcclFQUFBQuAEog66goKAwTKAMuoKCgsIwgTLoCgoKCsMEyqArKCgoDBMog66goKAwTKAMuoKCgsIwgTLoCgoKCsME/x8zjFhbnXi1NAAAAABJRU5ErkJggg==\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -112,7 +112,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -314,7 +314,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.8.3"
   },
   "toc": {
    "base_numbering": 1,
diff --git a/Tuto-GUDHI-extended-persistence.ipynb b/Tuto-GUDHI-extended-persistence.ipynb
index 080c818..1d8a34f 100644
--- a/Tuto-GUDHI-extended-persistence.ipynb
+++ b/Tuto-GUDHI-extended-persistence.ipynb
@@ -135,7 +135,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -352,7 +352,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -409,7 +409,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -473,7 +473,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -681,7 +681,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -778,7 +778,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -851,12 +851,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -905,7 +902,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" 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       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -951,7 +948,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -1168,7 +1165,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -1225,7 +1222,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -1289,7 +1286,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -1497,7 +1494,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -1594,7 +1591,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -1667,12 +1664,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -1721,7 +1715,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"640\">"
+       "<div id='c4dec942-3cad-45bc-a824-2f80aeac9cb0'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -1882,7 +1876,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -2099,7 +2093,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -2156,7 +2150,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -2220,7 +2214,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -2428,7 +2422,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -2525,7 +2519,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -2598,12 +2592,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -2652,7 +2643,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"1000\">"
+       "<div id='7bf70935-d763-4625-ae7e-3b80bd2901b1'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -2728,7 +2719,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -2945,7 +2936,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -3002,7 +2993,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -3066,7 +3057,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -3274,7 +3265,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -3371,7 +3362,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -3444,12 +3435,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -3498,7 +3486,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"960\">"
+       "<div id='4b0afb0e-b954-4590-928d-4082042bb9b7'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -3563,7 +3551,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -3780,7 +3768,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -3837,7 +3825,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -3901,7 +3889,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -4109,7 +4097,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -4206,7 +4194,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -4279,12 +4267,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -4333,7 +4318,7 @@
     {
      "data": {
       "text/html": [
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QAH3AbzgAkntcwdbwLjnexElgQAEIACBOiTghZ/ftY0jLnoAFaL29KkE6nXw4EEZPXq0GRbWS4Vv1apV5t/6J9SVxF4JIE4Cqe3XiOdDAAIQgICXCHjl53dtMo0pAWQfwNoMFZ4NAQhAAAIQiA0CCGCMDQHXdVgSQHVNnPwgAAEIQAAC9gT4+Y0AWkURAWSFj8QQgAAEIACBqBDg5zcCaBV4BJAVPhJDAAIQgAAEokKAn98IoFXgEUBW+EgMAQhAAAIQiAoBfn4jgFaBRwBZ4SMxBCAAAQhAICoE+PmNAFoFHgFkhY/EEIAABCAAgagQ4Oc3AmgVeASQFT4SQwACEIAABKJCgJ/fCKBV4BFAVvhIDAEIQAACEIgKgccff1yGDRsmRUVF0rhx46iUIdqZxtRG0HUNEwGsa+LkBwEIQAACEIicQGFhoYwbN06effZZ8xAEMHKWcZ0SAYzr5qfyEIAABCDgIQJ/+ctfZPjw4XL06FGZMmWKZGdnI4Aeaj9XFRUBdFVzUBgIQAACEIDAaQS++eYbmTZtmqxevVquvvpqycnJkUaNGslVV12FABIvkRFAACPjRioIQAACEIBAXRB48803ZfDgwbJ//34jgf369ZOEhARRKUQAKysr66IRYjEPBDAWW5U6QQACEICA1wkcP35csrKy5L777pPLLrtMlixZIq1btz5ZLQSQVcBWMY4AWuEjMQQgAAEIQKDGCWzdulUGDhwon3zyiYwfP16GDh0qSUlJp+SDACKAVoGHAFrhIzEEIAABCECgxgiUlZXJ3XffbRZ3tGvXTpYuXSoXXnhhwOcjgAigVeAhgFb4SAwBCEAAAhCoEQIff/yxmev37rvvyogRI2Ts2LGSkpJS5bMRQATQKvAQQCt8JIYABCAAAQhYEaioqJBf/OIXMnv2bDnzzDPNXL9OnTpV+0wEEAGsNkiC3YAAWuEjMQQgAAEIQCBiArt375YhQ4bIq6++Kj/5yU/M3n6pqakhPQ8B9IAA5ufny7p168x4vn6dmZkpGRkZARu4ffv25h7fz+fMmSMzZ86U0aNHmz2A9OrcubOsWbPG/K1XOHn4ZowAhvSecRMEIAABCEAgbAKVFRVSVrBLKou/loS0xpLcto0kJCaKbl7yxBNPyF133WWET/f10/39wrkQQA8IYJcuXWTz5s2mXQ8fPix9+/aVDRs2BGznFStWSJ8+faRp06bm82XLlsny5cvN1yp/uv+PXv4CGU4eCGA4rxj3QgACEIAABMInULp9uxzNWydlO3ZI5fESSWhQX5I7dJBvut8gE372M/nf//1fufnmm83Qb3p6etgZIIAuF8AtW7bIqFGjTgqgtnCTJk2koKDgNIlTOfSVu40bN5peQ/3jCKD2Hvpf4eRRUlIi+se5tAewVatWcb2TeNhvHQkgAAEIQAACQQio/BXf/4BUHCqUxBYtJSE1VSqPHpXnt2yWaR9sl/KUFFmwYIH06tUrYo4IoMsFUHvt8vLyTunx02HeVatWSc+ePYM2vPYG6tCvc+m/VQa19097EHVIWP8dTh6LFi0yy8v9r3g+TDrit4+EEIAABCAAAT8COuxblJ0jJ7Ztk6TzO5hTO74uKZHZr74iz/xzm1x//fWycOFCad68uRU7BNDlAqjSprLmO+Srw7U6r0+Hequ6NJ3/XEGd5+f0Bvr2+oWTBz2AVu8biSEAAQhAAAJBCZzYmS9FWVmSkJ4hiWlp8vq/d8n49S9J0YkTMnvWLLnt9tuNFNpeCKDLBTCc3jnfYPCd0xcoSHS4WIeSDx06JGvXro24l5FFILavIOkhAAEIQAAC/yVQunWrFOXkSsm550rOW3+TNZvflW7dukluTo6cc+65NYYKAXS5AFY1P08XhTi9ef7RoHP/Zs2adcq8QX1Ojx49jPA5l/4Gof/WnsFA8wyD5eE8AwGssXeRB0EAAhCAAAREewBfGTtWxm3ZLHuKi2Xy5Mny0wEDJDExsUbpIIAuF0BtbZ3zt3PnTtPw2nOnIuesClax0zl9vjIYaEhX02lvojMnUCVRVwc7Q8vB8ggWcQhgjb6PPAwCEIAABOKYQGlpqZlnf/eyZfKtiy+WpUuWSLv27WuFCALoAQFUyXNW9G7atOnk4g2NCN0SRruGfRd7qOipIOpCEd9Ln+EIowqlziN0toMJlgcCWCvvHg+FAAQgAAEInCSwfft2GTRokOjfOod/5MiRQY9ys0WHAHpAAG0buTbT0wNYm3R5NgQgAAEIxDqB8vJyue+++yQrK8tsq6ZHuV1yySW1Xm0EEAG0CjIE0AofiSEAAQhAII4J6Bx87fV7++23ZfDgweZkj/r169cJEQQQAbQKNATQCh+JIQABCEAgDgnoUW46XWvatGlmKlZubq507dq1TkkggAigVcAhgFb4SAwBCEAAAnFGYO/evTJixAh58cUX5Y477pAZM2ZIo0aN6pwCAogAWgUdAmiFj8QQgAAEIBBHBJ5++mkZN26cJCcnm9W+1113XdRqjwAigFbBhwBa4SMxBCAAAQjEAYGDBw8a8dODF77//e+bBR/OLhzRqj4CiABaxR4CaIWPxBCAAAQgEOMEXnjhBRk+fLgcO3ZM5s2bJ717966Ro9xssSGACKBVDCGAVvhIDAEIQAACMUqguLhYpk6dKo8++qhcc801Zsj37LPPdk1tEUAE0CoYEUArfCSGAAQgAIEYJPDGG2+YbV2+/PJLs9JXD23Q41fddCGACKBVPCKAVvhIDAEIQAACHiRQWVEhZQW7pLL4a0lIayzJbdtIQmKiHD9+XObPny/333+/dOrUyWzqrJs7u/FCABFAq7hEAK3wkRgCEIAABDxGoHT7djmat07KduyQyuMlktCgviR36CAfX3KxDM/Olh07dsiECRNkyJAhkpSU5NraIYAIoFVwIoBW+EgMAQhAAAIeIaC9fsfWr5cja34llUeOSGKbNpLYqJGc+OYb+dkbf5X7Pv5Y2nc4X5YuXSoXXHCB62uFACKAVkGKAFrhIzEEIAABCHiAgPb6HVmbJ8dffFEqi76WhDPOkMT0dClo2lTG/f1tef//NnceO3aspKSkeKBGIgggAmgVqAigFT4SQwACEICAywmo/BXf/4CU790rZfv3SULDVKkUkV/t/kyWfLFfWpxzjpnrd1mnTi6vyanFQwARQKuARQCt8JEYAhCAAARcTECHfYuyc+TEtm2S0KSJnHhvq+xJSZFJBfny1oGv5M4775QpU6ZIw4YNXVyLwEVDABFAq6BFAK3wkRgCEIAABFxM4MTOfCnKypKE9AxRGfztSy/Kwn17JbVJE1mcnS1XXXONi0sfvGgIIAJoFbwIoBU+EkMAAhCAgIsJlG7dKkU5uVJ49lky5ZVX5C+ffCy33nqrzJo5Uxqnp7u45NUXDQFEAKuPkiB3IIBW+EgMAQhAAAIuJqA9gE8NHSpT39silSkpsnDBAunRq5eLSxx60RBABDD0aAlwJwJohY/EEIAABCDgUgKHDx82+/k9+eSTcsMNN8iCBQukefPmLi1t+MVCABHA8KPGJwUCaIWPxBCAAAQg4EICGzdulKFDh0pRUZHMnj3bDPu67Sg3W2wIIAJoFUMIoBU+EkMAAhCAgIsIHD16VGbOnCkPP/ywXHHFFbJ48WJp2bKli0pYc0VBABFAq2hCAK3wkRgCEIAABFxC4J133pFBgwbJ7t27zdYuusVLYmKiS0pX88VAABFAq6hCAK3wkRgCEIAABKJMoLS0VLKzs+Xuu++WSy65RHJzc6Vdu3ZRLlXtZ48AIoBWUYYAWuEjMQQgAAEIRJHAP//5Txk4cKB8+OGHMmbMGBkxYoQkJydHsUR1lzUCiABaRRsCaIWPxBCAAAQgEAUC5eXlcu+995qVva1btzZHuV188cVRKEn0skQAEUCr6EMArfCRGAIQgAAE6pjAzp07zVw/nfM3ZMgQs9VL/fr167gU0c8OAUQAraIQAbTCR2IIQAACEKgjApWVlbJy5UqZMWOGNGnSxMz169KlSx3l7r5sEEAE0CoqEUArfCSGAAQgAIE6ILBnzx4ZPny4rF+/Xvr06SPTp0+XRo0a1UHO7s0CAUQAraITAbTCR2IIQAACEKhFAtrr9/TTT8u4ceOkXr16smjRIrnuuutqMUfvPBoBRACtohUBtMJHYghAAAIQqCUCBw8elLFjx0peXp7cdNNNMm/ePMnIyKil3Lz3WAQQAbSKWgTQCh+JIQABCEDAgkBlRYWUFeySyuKvJSGtsSS3bSMJiYny5z//2WzpcuzYMZk/f7707t3bIpfYTIoAIoBWkY0AWuEjMQQgAAEIREigdPt2OZq3Tsp27JDK4yWS0KC+HGvdWhZ8ukMe/93v5Lvf/a7Z4Pmss86KMIfYToYAIoBWEY4AWuEjMQQgAAEIREBA5a/4/gek4lChJLZoKQmpqfLmpztkwmuvyoETJ8xKX13skZCQEMHT4yMJAogAWkU6AmiFj8QQgAAEIBAmAR32LcrOkRPbtknS+R2kpLxcFr/5hqx8d5Ncfvnlkrt4sbRq3TrMp8bf7QggAmgV9QigFT4SQwACEIBAmARO7MyXoqwsSUjPkG1HjsiYl16UgkOFMvGuu2TQ4MGSlJQU5hPj83YEEAG0inwE0AofiSEAAQhAIEwCpVu3yoFFOfLgV1/KfX9/Rzp06CBLcnOlw4UXhvmk+L4dAUQArd4ABNAKH4khAAEIQCBMAv9cv0EGDRoo2w8ckBEjR8qYMWMkJSUlzKdwOwLoAQHMz8+XdevWSbt27US/zszMrHIvo9GjR8vq1atNZHfu3FnWrFlj/tYr2HPCycP3tUEA+SYCAQhAAAJ1QaCiokJ+/vOfy9y5c6XF2WfL0txcubRTp7rIOibzQAA9IIB6VuHmzZtNAB4+fFj69u0rGzZsCBiQKn/9+vUzn/lveBnsOeHkgQDG5PcCKgUBCEDAtQT+/e9/y5AhQ+T111+XAQMGyKRJk6Rhw4auLa8XCoYAulwAt2zZIqNGjTopgBpUeoh1QUFBwF5AFUDtIfS/gj1He//CyQMB9MKrTRkhAAEIeJ+AHuX22GOPGeE744wzZPHixXLllVd6v2IuqAEC6HIBVKHTY2x8e/zat28vq1atkp49e54WQitWrDBDxdr7p2l0SFj/Hew5KoCh5lFSUiL6x7l0CLhVq1ZSVFQkjRs3dkFIUwQIQAACEIgFAl988YU5zUNP9bj11ltl9uzZkpaWFgtVc0UdEECXC6AKnYqcrwDqcO2cOXPMJpf+l8qcCp9evr1+wZ6jaULNQw/S1p3V/S8E0BXvM4WAAAQgEBMEfve735kODO0BXLBggfTo0SMm6uWmSiCALhfAcHsAfYNL5wvqcPGhQ4dk7dq1Vfby0QPopleSskAAAhCIXwL6c2v8+PHy1FNPGenLysqSZs2axS+QWqw5AuhyAaxq7p4uCnF6+pz40Hv1hVHhcy49Bkf/XdU8P32OvnCB5gAGysM/FlkFXItvJ4+GAAQgEEcEdCRq6NChoj9XdJTrlltu4Si3Wmx/BNDlAqhtr3P+du7cacJAZU0lz1kVrNKn8/1UBvUz7TGcOXOmuXfjxo2yfPnyk8PHwZ4T7LNg8YcA1uLbyaMhAAEIxAGBI0eOmLN7f/nLX8oVV1whubm50qJFizioeXSriAB6QABV8lTmVPI2bdp0cmGHho5uCdOtW7dTpM+RQpVG/S3K2Q4m2HOCfYYARvclJXcIQAACsUrg7bfflkGDBsmePXtkypQp8pOf/EQSExNjtbquqhcC6AEBdFXE+BWGHkA3tw5lgwAEIFA3BCorKqSsYJdUFn8tCWmNJbltG0kIInK6m4QuKtQFih07dpQlS5ZImzZt6qaw5GIIIIAIoNWrgABa4SMxBCAAAc8TKN2+XY7mrZOyHTuk8niJJDSoL8kdOkhq3z5Sr2PH0+q3bds2GThwoHz00UcyduxYGT58uCQnJ3ueg9cqgAAigFYxiwBa4SMxBCAAAU8TUPkrviLJS/4AACAASURBVP8BqThUKIktWkpCaqpUHj0qFfv3SWKTppI2dfJJCSwvL5d77rnHbOty3nnnydKlS+Vb3/qWp+vv5cIjgAigVfwigFb4SAwBCEDAswR02LcoO0dObNsmSed3OGXFru7fV/7pDkm57DJJX5AlO/PzzVy/v//972al74QJE6RevXqerXssFBwBRACt4hgBtMJHYghAAAKeJXBiZ74UZWVJQnqGJAY4oaOiuFgqDh+SZy66SGavWC5NmzY1c/06d+7s2TrHUsERQATQKp4RQCt8JIYABCDgWQKlW7dKUU6uJLVtKwlJSafV4/PDh+WuPz8vr+/dI/369ZNp06ZJamqqZ+sbawVHABFAq5hGAK3wkRgCEICAZwlU1QOow795H30oM195Weo3aiTZOTly7bXXeraesVpwBBABtIptBNAKH4khAAEIeJZAoDmAB48elamvbJQ/ffSR9O7dW+bNnSvpGRmerWMsFxwBRACt4hsBtMJHYghAAAKeJuC7Cnj98RKZ8rc3pDQxUebPnSs3/eAHnq5brBceAUQArWIcAbTCR2IIQAACnidw4J13ZMqECfL/Nm82Q73ZCxfKmWef7fl6xXoFEEAE0CrGEUArfCSGAAQg4GkCr732mgwZMkQOHDhgjiT98Y9/fMp2MJ6uXIwXHgFEAK1CHAG0wkdiCEAAAp4kcOzYMZk7d6488MADZlsX3d7l3HPP9WRd4rXQCCACaBX7CKAVPhJDAAIQ8ByBd99912zqnJ+fLxMnTjTHuiUF2AbGcxWLswIjgAigVcgjgFb4SAwBCEDAMwROnDghubm5prfvggsuMEe5nX/++Z4pPwU9lQACiABavRMIoBU+EkMAAhDwBIGPPvrI9PS9//77MmrUKMnMzJSUlBRPlJ1CBiaAACKAVu8GAmiFj8QQgAAEXE2goqLCzPPT+X4tW7aUZcuWSceOHV1dZgoXGgEEEAEMLVKquAsBtMJHYghAAAKuJbBr1y4ZPHiwvPHGG6b3b9KkSdKgQQPXlpeChUcAAUQAw4sYv7sRQCt8JIYABCDgOgJ6lNuvfvUrmTJliqSlpZl5f9/5zndcV04KZEcAAUQArSIIAbTCR2IIQAACriKwf/9+GTFihLzwwgty++23m739VAK5Yo8AAogAWkU1AmiFj8QQgAAEXEMgLy9PxowZYzZyXrhwodxwww2uKRsFqXkCCCACaBVVCKAVPhJDAAIQiDqBQ4cOybhx4+SZZ56Rnj17SlZWljRt2jTq5aIAtUsAAUQArSIMAbTCR2IIQAACUSWwfv16GTZsmBQXF8ucOXPk5ptv5ii3qLZI3WWOACKAVtGGAFrhIzEEIACBqBA4cuSITJ8+XVauXClXXnmlLF68WFq0aBGVspBpdAgggAigVeQhgFb4SAwBCECgzgm89dZb5ii3vXv3ytSpU6V///6SmJhY5+Ugw+gSQAARQKsIRACt8JEYAhCAQJ0RKCkpkQULFsi9995rNnPWo9zOO++8OsufjNxFAAFEAK0iEgG0wkdiCEAAAjVCoLKiQsoKdkll8deSkNZYktu2kQSfXj09wk03c/7444/Ngo+hQ4dKcnJyjeTNQ7xJAAFEAK0iFwG0wkdiCEAAAtYESrdvl6N56+TEJ59IZVGRSGKiJLc/X84YMUwSL75YVqxYIYsWLZI2bdqYo9wuvPBC6zx5gPcJIIAIoFUUI4BW+EgMAQhAwIqAyl/x/Q9I2ee7pfLYMak4elTkRJnIiROyq0F9mXTsqGzZscP0+I0fP17q1atnlR+JY4cAAogAWkUzAmiFj8QQgAAEIiagw75F2TlS8vbbUnG4SKS0VBJSU6UyKUke2/O55O7+TJq3bClLcnPl8s6dI86HhLFJAAFEAK0iGwG0wkdiCEAAAhETOLEzXw7Pny/ln38ulcXfSEJ6uuwrOS6T8/Plr199aVb36irf1NTUiPMgYewSQAARQKvoRgCt8JEYAhCAQMQESrdulcNz50nZF19IQr368rtDhTJ3V4E0bNxYcrKz5Zprr4342SSMfQIIIAJoFeUIoBU+EkMAAhCokkB1K3u1B/DQpEnyRX6BzC48KC98sV9++MMfmhM90tPTIQuBoAQQQATQ6hVBAK3wkRgCEIBAQALOyt6yHTuk8niJJDSoL8kdOkhq3z5Sr2NHk0YF8anbbpdJGzdIef36Mn/ePLmxd2+IQiAkAgggAhhSoFR1EwJohY/EEIAABE4j4KzsrThUKIktWv5nYcfRo1Kxf58kNmkqaVMny/HWrWXSpEny+OOPy/e+9z1ZtGCBND/rLGhCIGQCCCACGHKwBLoRAbTCR2IIQAACpxBwVvae2LZNks7vIAkJCSc/r6yslPJPd8g7jRvLhNdelQMHDsjs2bPl9ttvP+U+kEIgFAIIIAIYSpxUeQ8CaIWPxBCAAAROIaDz+oqysiQhPUMS09JO+ezYiROS8+orsur9rdK1a1dZvHixnHvuuRCEQEQEEEAEMKLAcRIhgFb4SAwBCEDgFAK6srcoJ1eS2raVhKSkk59t2bdPxqx/UT47fFgmTZwoAwcNkkSfo97ACIFwCSCACGC4MXPK/QigFT4SQwACEAjaA3iivFzufedtuf+dt+XCiy6Spbm50r5DB6hBwJoAAugBAczPz5d169ZJu3btRL/OzMyUjIyMgI2/ZcsW2bhxo/ls06ZNsnz5cpNOr9GjR8vq1avN1507d5Y1a9aYv/UKJw/fjBFA63eQB0AAAhA4ScB3DuCOjCYydv2L8sEXX8jozEwZOWqUpKSkQAsCNUIAAfSAAHbp0kU2b95sGvzw4cPSt29f2bBhw2kBoJ+p4M2cOdN8ptI4a9Ys2blzp/m3ftavXz/ztb9AhpqHf6YIYI28hzwEAhCAwEkCx95/X+4ZlSlL3tsi/9OqlSxbskQuufRSCEGgRgkggC4XQO3RGzVq1EkB1NZv0qSJFBQUnCZx2vPXq1cv0ZVijizqvSqA2guoAqi9h/5XOHmUlJSI/nEuFcBWrVpJUVGRNG7cuEaDk4dBAAIQiDcC+r198ODB8re//U0GDhwoEydOlAYNGsQbBupbBwQQQJcLoEpbXl7eKT1+7du3l1WrVknPnj0DypwzrOsvhCtWrDAiqL1/2oOoQ8KOGIaax6JFiyQ7O/u0fBHAOnhbyQICEIhZAvqL+6OPPipTpkwxp3jk5uZKt27dYra+VCz6BBBAlwugSpvKmu+Qrw7X6lE/ffr0CRpB2huow8VOr5/O83PmA/r2+oWTBz2A0X9pKQEEIBBbBPbt2ycjR46UF154QX70ox+ZaTxnnHFGbFWS2riOAALocgEMtwfQiTBnsUegIV+9R+cL6vDwoUOHZO3atWH1MvpGMXMAXfdOUyAIQMBDBJ599lkZO3as2dJFR1iuv/56D5WeonqZAALocgGsan6eLgpxevP8A1CHflXwfHsI9Tk9evQwwudcusO8/lt7BgPNMwyWh/MMBNDLrz9lhwAEokWgsLBQxo8fL88884yZu52VlWV+KeeCQF0RQABdLoAaCDrnz1nJq2KnIuesClax0zl9vkO7+o3FmR/ou/LXd4WwSqJuEeMMLQfLI1gwIoB19aqSDwQgECsEXnrpJRk2bJgcOXJE5s6dKz/4wQ84yi1WGtdD9UAAPSCAzt5+Knm6t5+zeEPjTOf46URhnTOiPXkqcr6XyqHT66fS5wijCqXOI3S2gwmWBwLooTeaokIAAq4loD9wp0+fbhbxXXXVVZKTkyMtWrRwbXkpWGwTQAA9IIBuDkF6AN3cOpQNAhBwCwHd1mXQoEGyf/9+mTZtmtmTVafhcEEgWgQQQATQKvYQQCt8JIYABGKcgO6coPP77r33Xvn2t78tS5culdatW8d4rameFwgggAigVZwigFb4SAwBCMQwga1bt5rNnD/55BMZN26cmfeXlJQUwzWmal4igAAigFbxigBa4SMxBCAQgwTKysrk7rvvNnP82rZta3r9LrzwwhisKVXyMgEEEAG0il8E0AofiSEAgRgjoL192uunOzUMHz7c7PFXr169GKsl1YkFAgggAmgVxwigFT4SQwACMUKgoqJCHn74YZk1a5aceeaZsmTJEunUqVOM1I5qxCIBBBABtIprBNAKH4khAIEYILB7924ZOnSovPLKK9K/f3+ZOnWqpKamxkDNqEIsE0AAEUCr+EYArfCRGAIQ8DCByspK+e1vfyt33XWXNGzY0Mz5u/rqqz1cI4oeTwQQQATQKt4RQCt8JIYABDxK4KuvvjJHaP7v//6v3HzzzTJ79mxJT0/3aG0odjwSQAARQKu4RwCt8JEYAhDwIAGVvpEjR4qu9l2wYIE5y5cLAl4jgAAigFYxiwBa4SMxBCDgIQJFRUUyceJEeeKJJ+T666+XhQsXSvPmzT1UA4oKgf8SQAARQKv3AQG0wkdiCEDAIwR0gceQIUPM2eq60vf222/nKDePtB3FDEwAAUQArd4NBNAKH4khAAGXEzh69KiZ3/fQQw9Jt27dJDc3V8455xyXl5riQaB6AgggAlh9lAS5AwG0wkdiCEDAxQT+8Y9/mE2dP/vsM5k0aZIMGDBAEhMTXVxiigaB0AkggLUogDpk0L1799Bbw4N3IoAebDSKDAEIBCVQWloqixcvlmXLlslFF11kjnJr164d1CAQUwQQwFoUwBtvvFFeeumlmAoY/8oggDHdvFQOAnFHYPv27abX74MPPpDMzEyz2jclJSXuOFDh2CeAAFoI4L333ivPPvusiZLDhw+fFi35+flSXl4e01GEAMZ081I5CMQNAf1eff/998v8+fOlVatW5ii3Sy65JG7qT0XjjwACGKEAjhkzRtauXStdu3YNODRw8OBB+f3vf48Axt87RY0hAAGPEdBf1gcPHixvvfWW+VtP9qhfv77HakFxIRAeAQQwQgHs16+fEcBgVyj3hNdc7rubHkD3tQklggAEQiOgR7mtXr1apk2bJhkZGWben6705YJAPBBAACMUwHvuuUdmzJgRNEYKCgqkbdu2MR1HCGBMNy+Vg0DMEti3b58MGzbMzNO+4447zPfzRo0axWx9qRgE/AkggLUogDoE/OMf/zimow4BjOnmpXIQiEkCzzzzjIwbN85s6ZKTkyPXXXddTNaTSkEgGAEEMEIB1COB8vLypGfPntKmTZuAjFkFzMsHAQhAwD0ECgsLjfjp4r3vf//7ZsFHkyZN3FNASgKBOiSAAFYjgC+//LLZBb6qa8uWLWbuSNOmTc3fzqWrglkFXIeRTFYQgAAEghD4y1/+IsOHDxc92WPevHnSu3dvjnIjYuKaAAIYggD26tVL+vTpYyQv1ItVwKGS4j4IQAACtUdAf8hNnTpV1qxZI9dcc41kZ2fL2WefXXsZ8mQIeIQAAliNAL733nuyatUqWblyZdhNyirgsJGRAAIQgECNEXjzzTfNti779++X6dOnS9++fen1qzG6PMjrBBDAEOYARrqaN9J0XgoqFoF4qbUoKwTig8Dx48clKytL7rvvPrnsssvMps6tW7eOj8pTSwiESAABDEEAQ2QpujBEpU/nAla1MCTUZ3nlPgTQKy1FOSEQHwR01GbAgAHy6aefyoQJE2TIkCGSlJQUH5WnlhAIgwACGKEAzpkzxxwU7nupAL777rvmWDgVwc6dO0v37t3DaA7v3YoAeq/NKDEEYpFAWVmZ+Z6s27q0b99eli5dKhdccEEsVpU6QaBGCCCAEQpgKPP79KxgnXcSyxcCGMutS90g4A0CH3/8sQwcOFB0V4YRI0bI2LFjJSUlxRuFp5QQiBIBBDBCAezfv7/ZSyrYxT6AUYpqsoUABOKCQEVFhTz00EOiIzJnnXWWmeunc/64IACB6gkggCEKoO4FqPv66TCvXjrU27Vr14CEdbNRvTczM/O0YeLqm8Rbd9AD6K32orQQiBUCn332mZnf99prr8mdd94pkydPltTU1FipHvWAQK0TQABDFECnJdatWyc6/Ku7x3fp0iVgA+kiEN07cNSoUbXegNHOAAGMdguQPwTii0BlZaX85je/kYkTJxrhW7x4sVx11VXxBYHaQqAGCCCAYQqgMlcJXLt2rfkT7xcCGO8RQP0hUHcEvvzyS/OL9XPPPSe33HKLOaWpcePGdVcAcoJADBFAACMQQG1/3VU+Hnr4qot1BLA6QnwOAQjUBIE//OEPZlpNeXm5LFiwwJzDzgUBCEROAAGMUACrQq7bv2gPoc4DHD16dMzvB4gARv7ykRICEKiegG6rddddd8n/+3//T2644QYjf82bN68+IXdAAAJBCSCANSyAvrR1K4Jf/vKXMR2CCGBMNy+Vg0BUCWzcuFGGDh1qFt/NmjVLbrvtNo5yi2qLkHksEUAALQXw0UcfNRs/Hzx48JS40P/Tb147duyIpXg5rS4IYEw3L5WDQFQIHD161AjfL37xC7niiivMQo+WLVtGpSxkCoFYJYAARiiA+huprgLW7V501a8Kn/6tl36tq4BXrlwpbdu2tY4dzUOHldu1a3dyexknL/+HB7s30s+CVQABtG5eHgABCPgQ+Pvf/y6DBg0S3eZlypQpZouXxMREGEEAAjVMAAGMUADHjBljjhuaMWOGaZJ77rnn5Nf6b10k0q1bN+nUqZN1k6lobt68+aRc9u3bVzZs2BDwucHujfQzBNC6CXkABCBQDYHS0lLJzs6Wu+++Wy6++GKzqbP+0ssFAQjUDgEEMEIB1O0H9BuVcwU69q0mjoLTo410tbEjgJqf7kGoi038ewGD3au9f1U9J9hnVfU0OvWmB7B2XkyeCoF4IrB9+3YZMGCAfPjhh2bx3MiRIyU5OTmeEFBXCNQ5AQQwQgH07/HTf2vPXJs2bYJKYbgtvHr1asnLyzulx097HletWnXaNgjB7lXJq+o5wT7z32qhpKRE9I+vALZq1cpM0mY/rnBbl/shEN8EdEuX++67T7KyskS/jyxdutT0/nFBAAK1TwABjFAAnSFebSId5lUB0hNCXnrppZOtFsp5wdU18YoVK4z8+Q756lCunn3Zp0+fU5IHu1clr6rnBPvMP49FixaZYRr/CwGsriX5HAIQ8CWwc+dOGTx4sLz99tvmSLcJEyZI/fr1gQQBCNQRAQQwQgF87733TI/foUOHTq4A1n9v3brV9MzpWcE6f+XZZ5+1akp6AK3wkRgCEHAZAT3KTUcwpk+fbqaz6Arfqs5Vd1nRKQ4EYooAAhihAGoU6Dw8XfF7+eWXnwwKnb+ivYPaS/fyyy9bD4tWNa9P5wT6T5AOdq+WM9AcQH1OsM+qm4TNHMCY+n5AZSBQqwT27t0rw4YNk/Xr15sRDJXARo0a1WqePBwCEAhMAAG0EMC6Ciqd86fDJXqprPXo0ePkohCVPl2o4YhasHsj/SxYPRHAuooC8oGAtwk8/fTTMm7cOElJSRGdSnLdddd5u0KUHgIeJ4AAekAAVfJ0U2mVvE2bNplVco7w6bCzbjczc+ZME4rB7o30MwTQ4285xYdAFAnoJvl6KpIuQrvppptk3rx5p+1gEMXikTUE4pYAAmghgLt27TK71atYde7c+eR8P90i5jvf+Y78+Mc/jvnAogcw5puYCkIgYgIvvPCCDB8+XI4dOybz58+X3r17R/wsEkIAAjVLAAGMUAB1/p/O89MFH9oDp7/l+u4L+Lvf/c5McO7evXvNtpjLnoYAuqxBKA4EXECguLhYpk6dKnpU5jXXXCM5OTly1llnuaBkFAECEHAIIIARCqAOaeiwq3PUmy780EUWvldNbATt9lBFAN3eQpQPAnVL4K9//avZ1uXLL780izx0sUdCQkLdFoLcIACBagkggBEKoP9G0Pqbru5ejwBWG3PcAAEIxCCB48ePm/l9P/vZz8zOCLm5uWZzZy4IQMCdBBDACAXQv3cvUA+gbta8bNkyd7Z8DZWKHsAaAsljIOBhAjoPeuDAgfLpp5/KxIkTZdCgQZKUlOThGlF0CMQ+AQQwQgEcM2aM6EkfN9xwg4kS/x5AFUSdF4gAxv5LRA0hEK8EysrKzPFtuplzhw4dZMmSJeZvLghAwP0EEMAIBVCPPtNFILq3nq4A1v359N+6X59u2aL/3rFjh/sjwLKE9ABaAiQ5BDxK4F//+pfp9dPTj0aMGCH6S7Hu8ccFAQh4gwACGKEAavM6J2joil/fKzMzU5YvXy7p6eneiAKLUiKAFvBICgEPEqioqJAHH3zQnEfeokUL0+v37W9/24M1ocgQiG8CCKCFADqho72BevZv06ZNTzkWLh5CCwGMh1amjhD4D4F///vfZoXv66+/Lj/96U9l8uTJ0rBhQ/BAAAIeJIAA1oAAerDda6zICGCNoeRBEHAtgcrKSnn88cfNAo8zzjjDzPm78sorXVteCgYBCFRPAAG0EECd+1JYWGh6/vRotsaNG1dPPMbuQABjrEGpDgT8CHzxxRdmi6vnn39ebr31VtGTjtLS0uAEAQh4nAACGKYAOse/rVu37rSm79Wrl6xatUrOO+88j4dF6MVHAENnxZ0Q8BoBnd+sZ49rD+CCBQukR48eXqsC5YUABKoggACGIYC6tYue/qGX9vhlZGSY3j/tBdQFIfn5+WbHez0fWLdGiIcLAYyHVqaO8UZAv59NmDBBnnzySSN9WVlZ0qxZs3jDQH0hENMEEMAQBVBXvGnvnv6tq3yrWuG7evVqM0Tyk5/8RB555JGYDh6tHAIY801MBeOMwIYNG2TYsGGii9v0+90tt9zCUW5xFgNUNz4IIIAhCOB7771nfgvW3e7btGlTbWRoT2DXrl1Fh0+cjaKrTeTRGxBAjzYcxYaAH4EjR46YEQ79xfWKK64wCz1atmwJJwhAIEYJIIAhCKCe+KG9fuHMf9HNoPV4uGeffTZGQ+c/1UIAY7p5qVycEHj77bfN8W179uwxW7vceeedkpiYGCe1p5oQiE8CCGAIAqi9ebrPX7hXt27dZNOmTeEm89T9CKCnmovCQuAUAqWlpbJo0SKzcX3Hjh3Nps6hjHKAEQIQ8D4BBDAEAezXr5+sXbs27Nb+/ve/L+vXrw87nZcSIIBeai3KCoH/Eti2bZs5yu2jjz6SsWPHyvDhwyU5ORlEEIBAnBBAAEMQQB0CjmQoN1Jx9FLsIYBeai3KCgGR8vJyueeee2ThwoXSunVrs2PBt771LdBAAAJxRgABrEUBjFQcvRSDCKCXWouyxjuBTz/9VAYPHizvvPOODB061Gz1Uq9evXjHQv0hEJcEEMAQBPDGG2+Ul156KewAiTRd2BlFMQECGEX4ZA2BEAnoRs4rV66U6dOnm71Lda5f586dQ0zNbRCAQCwSQABDEEBdDacLQfSbaDiXbhujwy2xfCGAsdy61C0WCOjKXt3XT/f369u3r5HA1NTUWKgadYAABCwIIIAhCmAkjPVUEAQwEnKkgQAEbAnoL6xPPfWUjB8/3gzzZmdny7XXXmv7WNJDAAIxQgABDEEAzz//fNG5M+FekaYLN59o3k8PYDTpkzcEAhM4cOCAWdmrZ5b37t1b5s2bV+XpRTCEAATikwACGIIARrqaN9J0XgpFBNBLrUVZ44HA888/LyNGjJCSkhKZP3++3HTTTfFQbeoIAQiESQABDEEAw2QaV7cjgHHV3FTWxQT0XZwyZYr8+te/NkO9OuR75plnurjEFA0CEIgmAQQQAbSKPwTQCh+JIVAjBF5//XUZMmSIfPXVVzJjxgy54447ROcgc0EAAhCoigACiABavR0IoBU+EkPAisDx48dl7ty58sADD8jll18uubm50qpVK6tnkhgCEIgPAgggAmgV6QigFT4SQyBiAps3bzZHue3cuVMmTZpkvk5KSor4eSSEAATiiwACiABaRTwCaIWPxBAIm8CJEyfMRs76p0OHDuYoN91xgAsCEIBAOAQQQAQwnHg57V4E0AofiSEQFoGPPvrI9PS9//77MmrUKMnMzJSUlJSwnsHNEIAABJQAAogAWr0JCKAVPhJDICQCFRUV8vOf/9zM92vRooXp9bv00ktDSstNEIAABAIRQAARQKs3AwG0wkdiCFRLYNeuXWaF71//+lfT+6fz/Ro0aFBtOm6AAAQgEIwAAogAWr0hCKAVPhJDoEoCepSb7uk3efJkSUtLk8WLF8sVV1wBMQhAAAI1QgABRACtAgkBtMJHYggEJLB//34ZOXKk/PnPf5bbbrtNZs2aZSSQCwIQgEBNEUAAEUCrWEIArfCRGAKnEdDze0ePHm02cl6wYIF0794dShCAAARqnAACiABaBRUCaIWPxBA4SeDQoUMyfvx4efrpp6Vnz56SlZUlTZs2hRAEIACBWiGAACKAVoGFAFrhIzEEDIH169fLsGHDpLi4WObMmSM333wzR7kRGxCAQK0SQAA9IID5+fmiw0Lt2rUT/Vr3/srIyAgYGFu2bJGNGzeazzZt2iTLly836fTSYaXVq1ebrzt37ixr1qwxf+sVTh6+GSOAtfp+8vAYJ3DkyBFzdu8vf/lLufLKK81CD93mhQsCEIBAbRNAAD0ggF26dBE99kmvw4cPS9++fWXDhg2nxYZ+poI3c+ZM85lKo04e16Oi9NLP+vXrZ772F8hQ8/DPFAGs7VeU58cqgbfeeksGDx4se/bskalTp0r//v0lMTExVqtLvSAAAZcRQABdLoDao6c7/jsCqPHTpEkTKSgoOE3itOevV69eottHOLKo96oAai+gCqD2Hvpf4eRRUlIi+se5VAD18PmioiJp3Lixy8Kb4kDAfQT0/Vm0aJGsWLFCOnbsaI50a9OmjfsKSokgAIGYJoAAulwAVdry8vJO6fFr3769rFq1ykwUDyRzzrCuvxDqDxwVQe390x5EHRJ2xDDUPPQHV3Z29mn5IoAx/X2CytUQgW3btpnNnP/1r3/J2LFjzby/5OTkGno6j4EABCAQOgEE0OUC530rLwAAIABJREFUqNKmsuY75KvDtTpRvE+fPkFbWnsDdbjY6fXTeX7OfEDfXr9w8qAHMPSXizsh4BAoLy83PX4LFy6U8847T5YtWyYXXXQRgCAAAQhEjQAC6HIBDLcH0IkkZ7FHoCFfvUfnC+rwsG49sXbt2rB6GX2jlTmAUXt3ydgjBHbs2CGDBg0yi7KGDh1qtnqpV6+eR0pPMSEAgVglgAC6SAC1t0576fTSnjodlq1qfp7OCXR68/yDU4d+VfB8ewj1OT169DDC51y60az+W/MMNM8wWB7OMxDAWP3WQL1sCehc3EceecQsymrWrJmZ63f55ZfbPpb0EIAABGqEAALoIgGsqkV1zp+zklfFTkXOWRSiYqdz+nyHdgsLC0/OD/Rd+eu7QlglUbeIcYaWg+URLNIQwBp5D3lIjBH4/PPPzfw+fc90da+u8k1NTY2xWlIdCEDAywQQQA8IoLO3n0qeDiM5izc08LTXsFu3bqaXQXvyVOR8L5VDp9dPfxg5wqhCqfMIne1gguWBAHr5FafsdUlAe/2efPJJM8zboEEDycnJkWuuuaYui0BeEIAABEIigAB6QABDasko3UQPYJTAk63rCBw4cMAsuPrDH/4gP/jBD2Tu3LmSnp7uunJSIAhAAAJKAAFEAK3eBATQCh+JY4TAn/70Jxk5cqSUlpbK/Pnz5cYbb4yRmlENCEAgVgkggAigVWwjgFb4SOxxAhr/kydPlscee0y+973vmQ2emzdv7vFaUXwIQCAeCCCACKBVnHtFACsrKqSsYJdUFn8tCWmNJbltG0ng2C2rto/3xK+99poMGTJEdOhXj1z80Y9+JLqyngsCEICAFwgggAigVZx6QQBLt2+Xo3nrpGzHDqk8XiIJDepLcocOktq3j9Tr2NGq/iSOLQKh/KJw7NgxmT17tjz44IOim7Ln5ubKueeeG1sgqA0EIBDzBBBABNAqyN0ugCp/xfc/IBWHCiWxRUtJSE2VyqNHpWL/Pkls0lTSpk5GAq0iIHYSh/KLwrvvvisDBgyQXbt2ycSJE80Gz4n0JMdOEFATCMQRAQQQAbQKdzcLoPbmFGXnyIlt2yTp/A6nDM/pdh3ln+6QlMsuk/QFWQwHW0WB9xM7vyiUFxZKQlqaJCQnSWVZuVQWF0tS06bS4K7xsuKPfzSbOV944YWydOnS07Zc8j4FagABCMQTAQQQAbSKdzcL4Imd+VKUlSUJ6RmSmJZ2Wj0rioulsuiwpC9eLCnt21lxILF3CTi/KJS8/bZUlpVJ5ddfi5RXiCQlSkLjxvLJ8eMycfdnsn3fPrPNi56ak5KS4t0KU3IIQAACbANjYiChUruDuCIi4GYBLN26VYpyciWpbVtJSEo6rX6V5eVSXlAg6QvmS71OnSKqP4m8T0B/UTg0eYqU790rUl5upglIcrJUnDghq3Z/Jnfv3yf/07q16fXryJxR7zc4NYAABAwBegARQKtXwc0CSA+gVdPGTeKSLe9J4ahM0/uXmJEhuo73s+PHZGJ+vrxz4Cszz0/n++nJHlwQgAAEYoUAAogAWsWymwWQOYBWTRs3iY+99rocmjBBEhqmSkLDhvLUF/tlwa4CSW/WTHJzcqTblVfGDQsqCgEIxA8BBBABtIp2NwugVizoKuCmTSVtCquArQIgBhKXbNkihSMz5Yvjx2V64QF5+YsvzJ5+M2fMkDMCzB2NgSpTBQhAAAIMATMH0O4tcLsAOhJ42j6AF1wgqX3uYAsYu+aPidQ6VeA3/frLzA+3S2JqqixauFCu7949JupGJSAAAQhURYAeQHoArd4OLwigVjCUDX6tQJDYkwQOHTok48aNk2eeeUZ69eolWfPmSZNmzTxZFwoNAQhAIBwCCCACGE68nHavVwTQqpIkjkkCL730kgwbNswMg8ydO1d++MMfcpRbTLY0lYIABAIRQAARQKs3AwG0wkfiKBDQb3rTp0+XVatWyVVXXSU5OTnSokWLKJSELCEAAQhEjwACiABaRR8CaIWPxHVM4G9/+5sMHjxY9u3bJ9OmTZN+/frR61fHbUB2EICAOwgggAigVSQigFb4SFxHBEpKSmTBggVy7733yqWXXmqOdDvvvPPqKHeygQAEIOA+AgggAmgVlQigFT4S1wGBrVu3ysCBA+WTTz4xCz503l9SgJNh6qAoZAEBCEDANQQQQATQKhgRQCt8JK5FAmVlZbJixQpZtGiRtG3b1hzlduGFF9ZijjwaAhCAgHcIIIAIoFW0IoBW+EhcSwR27Nhhev3effddGT58uIwdO1bq1atXS7nxWAhAAALeI4AAIoBWUYsAWuEjcQ0TqKiokEceeURmzpwpzZs3N71+nTp1quFceBwEIAAB7xNAABFAqyhGAK3wkbgGCezevVuGDh0qr7zyivTv31+mTp0qqampNZgDj4IABCAQOwQQQATQKpoRQCt8JK4BApWVlfLb3/5W7rrrLmnYsKHZ1+/qq6+ugSfzCAhAAAKxSwABRACtohsBtMJHYksCX331lWRmZsof//hHufnmm2X27NmSnp5u+VSSQwACEIh9AgggAmgV5QigFT4SWxB47rnnZOTIkXLixAmzx5+e5csFAQhAAAKhEUAAEcDQIqWKuxBAK3wkjoBAUVGRTJw4UZ544gm5/vrrZeHChWbBBxcEIAABCIROAAFEAEOPlgB3IoBW+EgcJoFXX31VhgwZIoWFhTJr1iy5/fbbOcotTIbcDgEIQEAJIIAIoNWbgABa4SNxiASOHTtm5vc9+OCD0rVrV8nNzZX/+Z//CTE1t0EAAhCAgD8BBBABtHorEEArfCQOgcA//vEPs6nzZ599JpMmTZIBAwZIYmJiCCm5BQIQgAAEqiKAACKAVm8HAmiFj8RBCOjiDt3SZdmyZXLRRReZTZ3btWsHMwhAAAIQqAECCCACaBVGCKAVPhJXQeCDDz4wvX7bt28327zoat+UlBR4QQACEIBADRFAABFAq1BCAK3wkdiPQHl5ufzsZz+T+fPnmzl+2ut3ySWXwAkCEIAABGqYAAKIAFqFFAJohY/EPgQKCgpk0KBB8tZbb5m/9WSPBg0awAgCEIAABGqBAAKIAFqFFQJohY/EIqJHua1Zs8ac3ZuRkSGLFy+Wbt26wQYCEIAABGqRAAKIAFqFFwJohS/uE+/bt0+GDx8uL774otxxxx0yY8YMadSoUdxzAQAEIACB2iaAACKAVjGGAFrhi+vEzz77rIwdO9Zs6ZKdnS3f+9734poHlYcABCBQlwQQQATQKt4QQCt8cZlYT/EYN26cqADq+b1ZWVnSpEmTuGRBpSEAAQhEiwAC6AEBzM/Pl3Xr1pk90PRr3RZD50oFukaPHi2rV682H3Xu3NnMrdK/9Qr2nHDy8M0XAYzWq+vNfHWod9iwYXL06FGZO3eu/OAHP+AoN282JaWGAAQ8TgAB9IAAdunSRTZv3mxC7fDhw9K3b1/ZsGFDwNBT+evXr5/5zF8Sgz0nnDwQQI+/9VEovn6jmTZtmvnl5JprrjFDvmeffXYUSkKWEIAABCCgBBBAlwvgli1bZNSoUScFUBtNh8t0y4xAvYD6A1Z7CP2vYM/R3r9Q8ygpKRH941zaA9iqVSspKiqSxo0b81ZB4DQCb775pgwePFj2798v06dPN7/AJCQkQAoCEIAABKJIAAF0uQCq0OXl5Z3S49e+fXtZtWqV9OzZ87TQWbFihRkqVjnUXkIdEtZ/B3uOCmCoeSxatMj03vhfCGAU32KXZn38+HEzv+++++6Tyy67TJYsWSKtW7d2aWkpFgQgAIH4IoAAulwAVehU5HyHfHW4ds6cOdKnT5/TolVlzjkv1bfXL9hzNE2oedADGF/fICKt7datW2XAgAGyY8cOmTBhggwZMkSSkpIifRzpIAABCECghgkggC4XwHB7AH3jQ+cL6nDxoUOHZO3atVX28oXTA+gffywCqeE30uOPKysrk7vvvtv0EmtPtR7ldsEFF3i8VhQfAhCAQOwRQABdJIA6N0plTC/txdNh2arm7umiEKenzwlLvbdHjx5G+JxL51rpv6ua56fPUVEMNAcwUB4IYOx9E6ipGn3yyScycOBAM191xIgRZo+/lJSUmno8z4EABCAAgRokgAC6SACralftSdm5c6f5WGVNJc9ZFazSp/P9VAb1M+0xnDlzprl348aNsnz58pPDx8GeE+yzYPFGD2ANvo0efVRFRYU8/PDDMmvWLDnrrLMkNzdXOnXq5NHaUGwIQAAC8UEAAfSAAKrkqcyp5G3atOnkwg4NUe011HNTfaXPkUKVRp0r6KwWDvacYJ8hgPHxzSCSWu7evdvM73v11VflzjvvlMmTJ0tqamokjyINBCAAAQjUIQEE0AMCWIfxEHZW9ACGjSwmElRWVsoTTzwhd911lxG+nJwcufrqq2OiblQCAhCAQDwQQAARQKs4RwCt8Hky8ZdffmnmjD733HNyyy23yOzZs9kD0pMtSaEhAIF4JoAAIoBW8Y8AWuHzXOI//OEPZqPx8vJyWbBgQcC9KD1XKQoMAQhAIA4JIIAIoFXYI4BW+DyTWDf61uHe3/72t3LDDTcY+WvevLlnyk9BIQABCEDgVAIIIAJo9U4ggFb4PJH4lVdeMQs9dDshHe697bbbOMrNEy1HISEAAQhUTQABRACt3g8E0AqfqxMfPXrUCN9DDz0k3/nOd2Tx4sVyzjnnuLrMFA4CEIAABEIjgAAigKFFShV3IYBW+Fyb+O9//7sMGjRIPvvsM5kyZYrZ4iUxMdG15aVgEIAABCAQHgEEEAEML2L87kYArfC5LnFpaanZ0mXZsmVy8cUXy5IlS047ccZ1haZAEIAABCAQNgEEEAEMO2h8EyCAVvhclXj79u3mKLcPPvjAbDY+cuRISU5OdlUZKQwEIAABCNQMAQQQAbSKJATQCp8rEuuWLvfdd59kZWVJq1atZOnSpab3jwsCEIAABGKXAAKIAFpFNwJohS/qifPz881cv7ffflsGDx5stnqpX79+1MtFASAAAQhAoHYJIIAIoFWEIYBW+KKWWI9yW716tUydOlWaNm1qVvh27do1auUhYwhAAAIQqFsCCCACaBVxCKAVvqgk3rt3rwwfPlxeeuklueOOO2TGjBnSqFGjqJSFTCEAAQhAIDoEEEAE0CryEEArfHWe+Omnn5Zx48aZxR3Z2dly3XXX1XkZyBACEIAABKJPAAFEAK2iEAG0wldniQ8ePChjx46VvLw8ufHGG2X+/PmSkZFRZ/mTEQQgAAEIuIsAAogAWkUkAmiFr04S/+UvfzFDvnqyh4pf79696yRfMoEABCAAAfcSQAARQKvoRACt8NVq4uLiYrPI49FHH5VrrrnGbPB81lln1WqePBwCEIAABLxBAAFEAK0iFQG0wldrid944w2zrcuXX34p06ZNk759+0pCQkKt5ceDIQABCEDAWwQQQATQKmIRQCt8NZ74+PHjZpj3/vvvl8svv1xyc3PN5s5cEIAABCAAAV8CCCACaPVGIIBW+Go08ZYtW8xRbp9++qnZ0Fl7AJOSkmo0Dx4GAQhAAAKxQQABRACtIhkBtMJXI4nLysrM8W26mfP5559vvu7QoUONPJuHQAACEIBAbBJAABFAq8hGAK3wWSf++OOPTa+f9v6NHDlSxowZIykpKdbP5QEQgAAEIBDbBBBABNAqwhFAK3wRJ66oqJCHHnpIZs+eLS1atJAlS5bIt7/97YifR0IIQAACEIgvAgggAmgV8QigFb6IEn/22WcyZMgQee211+SnP/2pTJ48WRo2bBjRs0gEAQhAAALxSQABRACtIh8BtMIXVuLKykr5zW9+IxMnTjRn9+qcvyuvvDKsZ3AzBCAAAQhAQAkggAig1ZuAAFrhCzmx7uenc/z+9Kc/ya233mqGftPS0kJOz40QgAAEIAABXwIIIAJo9UYggFb4Qkr8+9//XjIzM0V7ABcsWCA9evQIKR03QQACEIAABKoigAAigFZvBwJohS9o4sOHD8uECRPkySeflO7duxv5a9asWe1lyJMhAAEIQCBuCCCACKBVsCOAVviqTLxx40YZOnSoFBUVyZw5c+SWW27hKLfaQc1TIQABCMQlAQQQAbQKfATQCt9piY8ePSozZ86Uhx9+WK644gqz0KNly5Y1mwlPgwAEIACBuCeAACKAVi8BAmiF75TE77zzjgwaNEg+//xzs7XLnXfeKYmJiTWXAU+CAAQgAAEI/B8BBBABtHoZEEArfCZxaWmpZGdny9133y2XXHKJ2dS5bdu29g/mCRCAAAQgAIEqCCCACKDVy4EAWuGTf/7zn+Yotw8//FDGjh0rw4cPl+TkZLuHkhoCEIAABCBQDQEEEAG0ekkQwMjwlZeXy7333mtW9rZu3VqWLl0q3/rWtyJ7GKkgAAEIQAACYRJAABHAMEPm1NsRwPDx7dy508z10zl/utJ3/PjxUr9+/fAfRAoIQAACEIBAhAQQQAQwwtD5TzIEMHR8upHzypUrZfr06dKkSRMz169Lly6hP4A7IQABCEAAAjVEAAFEAK1CCQEMDd+ePXvM/L7169dLnz59jATqeb5cEIAABCAAgWgQQAA9IID5+fmybt06adeunejXeixYRkZGwHhp3769ucf3c91IWPeWGz16tKxevdqk69y5s6xZs8b8rVc4efhmjAAGf2211+/pp582w7wpKSlmte+1114bjXedPCEAAQhAAAInCSCAHhBAHSbcvHmzaTQ9Hqxv376yYcOGgGG8YsUK08PUtGlT8/myZctk+fLl5muVv379+pmv/QUynDwQwFPRV1ZUSFnBLqks/loS0hpLcts2kpCYKAcPHpQxY8YYee/du7fMmzdP0tPT+fYDAQhAAAIQiDoBBNDlArhlyxYZNWrUSQHUiNH5YwUFBadJnMqhr9zpcWLaa6h/HAHU3kP/K5w8/NPGew9g6fbtcjRvnZTt2CGVx0skoUF9Se7QQV47+ywZk5Mjx48fl/nz58tNN90U9ZedAkAAAhCAAAQcAgigywVQe+3y8vJO6fHTYd5Vq1ZJz549g0ay9gbq0K9z6b9VBrX3T3sQdUhY/x1OHiUlJaJ/nEsFsFWrVubM2saNG8fVm6XyV3z/A1JxqFASW7SUhNRU+frwYZn/+qvy5M6d8t3vftcM+Z511llxxYXKQgACEICA+wkggC4XQJU2lTXfIV8drtV5fTrUW9Wl6fznCuo8P6c30LfXL5w8Fi1aZKTG/4o3AdRh36LsHDmxbZsknd9BEhIS5K3du2Xs+hfl4PHjMmP6dLmjTx/z/1wQgAAEIAABtxFAAF0ugOH0zvkGl++cvkBBp8PFOpR86NAhWbt2bci9jPQA/ofmiZ35UpSVJQnpGVLasKEs/tubsnLTP+Tyyy+X3MWLpVXr1m571ykPBCAAAQhA4CQBBNBFAqiLO7SXTi/tqdOh36rm5+miEKc3zz+ede7frFmzTpk3qM/p0aOHET7n0t4p/bfmGWieYbA8nGfE6xzA0q1bpSgnV/6Z2lDGbtwgBYWFMvGuu2TQ4MGSlJTEtxgIQAACEICAqwkggC4SwKoiRef86ekRemnPnYqcsypYxU7n9PnKYKAhXU2nvYnOnECVRF0d7AwtB8sjWATHqwAe/dfHkt2/v9z/wXbp0KGDLF2yRM6/4AJXv+wUDgIQgAAEIOAQQAA9IIAqec6K3k2bNp1cvKGNqL2G3bp1O2Wxh4qeCqIuFPG99BmOMKpQ6jxCZzuYYHkggKcS+Ne//iUDBgyQ999/X0aOHGnaQ/f444IABCAAAQh4hQAC6AEBdHMwxVMPYEVFhTz44INGnFu0aCFLly6VSy+91M3NQ9kgAAEIQAACAQkggAig1asRLwL473//W4YMGSKvv/66DBw4UCZOnCgNGza0YkdiCEAAAhCAQLQIIIAIoFXsxboA6lFujz32mEyaNEnS0tJk8eLFcsUVV1gxIzEEIAABCEAg2gQQQATQKgZjWQC/+OILM8fv+eefl9tuu82srFYJ5IIABCAAAQh4nQACiABaxXCsCqCe36vn+Oq1YMEC6d69uxUnEkMAAhCAAATcRAABRACt4tFLAqind5QV7JLK4q8lIa2xJLdtIwmJiafUX7fLGT9+vDz11FNmux2Vv6ZNm1oxIjEEIAABCEDAbQQQQATQKia9IoCl27bJN796TMo+/VQqjx+ThAYNJfn88+WMEcOk3re/bRjonohDhw6V4uJis9L35ptv5ig3q+ggMQQgAAEIuJUAAogAWsWmFwTwyB//KMUr7pGKAwelsrRUpKJCRHv+6tWTpObNJHHiXZL9xhvyyCOPyJVXXmkWeug2L1wQgAAEIACBWCWAACKAVrHtdgEs2bZNDo0eK+X794uo/PldmyvKZdKRI7L/RKlMnTpV+vfvL4l+w8JWgEgMAQhAAAIQcCEBBBABtApLNwugzvk7NHWaHHv+zyLHjv2nngkJ5k9pRYXcd+Qb+eXXRdLx0ktlyeLF0qZdOysWJIYABCAAAQh4hQACiABaxaqbBfDEznwpnDhJyrZt+8+w7//J34elpTLp6Dey4/hxGTd2rAwbPlySk5OtOJAYAhCAAAQg4CUCCCACaBWvbhbA0q1bpfCuiVKeX2DqWJ6QICuPHpF7iw7Lee3aybLcXLnokkus6k9iCEAAAhCAgBcJIIAIoFXculkAtQfw4MiRUv7JDikoK5PJx47Ilm++kWFDh8r4CROkXr16VnUnMQQgAAEIQMCrBBBABNAqdt0sgDoH8MDIUbLmj3+U3OKvpXnLlrIkJ0cu79rVqs4khgAEIAABCHidAAKIAFrFsJsFcM+ePTK0Xz/Z+NZb0q9vX5k2fbqkpqZa1ZfEEIAABCAAgVgggAAigFZx7EYBrKyslCeffFImTJgg9evXl+xFi+S7115rVU8SQwACEIAABGKJAAKIAFrFs9sE8MCBAzJ69Gj5/e9/L71795Z58+ZJenq6VR1JDAEIQAACEIg1AgggAmgV024SwOeff15GjBghJSUlkpWVJTfeeKNV3UgMAQhAAAIQiFUCCCACaBXbbhBALcPkyZPlsccek+uuu04WLVokZ555plW9SAwBCEAAAhCIZQIIIAJoFd/RFsDXX39dBg8eLDr0O2vWLPnRj34kCbrhMxcEIAABCEAAAlUSQAARQKvXI1oCeOzYMZkzZ448+OCD0rlzZ8nNzZVzzz3Xqi4khgAEIAABCMQLAQQQAbSK9WgI4LvvvisDBw6UgoICmThxogwaNEgSExOt6kFiCEAAAhCAQDwRQAARQKt4r0sBPHHihOnpW7JkiVxwwQWybNkyad++vVX5SQwBCEAAAhCIRwIIIAJoFfd1JYAfffSRDBgwQLZt2yajRo2SzMxMSUlJsSo7iSEAAQhAAALxSgABRACtYr+2BbCiokIeeOABmTt3rpxzzjmydOlS6dixo1WZSQwBCEAAAhCIdwIIIAJo9Q7UpgDu2rXLrPB94403zJy/SZMmSYMGDazKS2IIQAACEIAABEQQQATQ6j2oDQHUo9x+/etfm7390tLSzLy/73znO1blJDEEIAABCEAAAv8lgAAigFbvQ00L4P79+81pHi+88ILZ02/mzJlyxhlnWJWRxBCAAAQgAAEInEoAAUQArd6JmhTAvLw8GTNmjClPdna2XH/99VZlIzEEIAABCEAAAoEJIIAIoNW7URMCeOjQIRk/frw8/fTT0rNnT3OOb9OmTa3KRWIIQAACEIAABKomgAAigFbvh60Arl+/XoYNGybFxcXmZI+bb76Zo9ysWoTEEIAABCAAgeoJIIAIYPVREuSOSAXwyJEjMn36dFm5cqVcddVVkpOTIy1atLAqC4khAAEIQAACEAiNAAKIAIYWKVXcFYkAvvXWW+b4tn379snUqVOlf//+9PpZtQKJIQABCEAAAuERQAARwPAixu/ucASwpKREFi5cKPfcc49ceuml5ki38847zyp/EkMAAhCAAAQgED4BBBABDD9qfFKEKoDvv/++2cz5448/lnHjxpl5f0lJSVZ5kxgCEIAABCAAgcgIIIAIYGSR83+pqhPAsrIyWbFihSxatEjatm1rjnK78MILrfIkMQQgAAEIQAACdgQQQATQKoKCCeCOHTvMXL9NmzaZHj/t+atXr55VfiSGAAQgAAEIQMCeAALoIQFct26d9OnTJ2ir5+fni97Xrl070a8zMzMlIyPDpIn0s2AZBhJAPcrtkUceMad4NGvWzPT6derUyT5aeQIEIAABCEAAAjVCAAH0gACq0BUWFsro0aNF5SrY1aVLF9m8ebO55fDhw9K3b1/ZsGGD+Xekn4UjgJ9//rkMHTpUXn75ZbO6V1f5pqam1kiw8hAIQAACEIAABGqGAALoAQF0mjohISGoAG7ZskVGjRp1UgA1XZMmTaSgoMD0/kXymdN7WFW4OT2AKpvPPfecTJgwQRo2bGj29bv66qtrJkp5CgQgAAEIQAACNUoAAYwhAVy9erXoebpOj59GSvv27WXVqlVGACP5TI9m8710Kxf941wqgK1atTIneDz//PPywx/+0JzokZ6eXqOBysMgAAEIQAACEKg5AghgDAmgrrZV+fMVQB32VSFTAYzkM/85h7qaNzs7+7QIbNy4scyaNUu6d+9ec9HJkyAAAQhAAAIQqBUCeiKXdvLoCF68dtokVFY3sa5W0If/0OqGgKPRA7hnzx65+OKLw68MKSAAAQhAAAIQiDqB3bt3y7nnnhv1ckSjAK4RQF2woT11eukqXh2y9b2qE8Cq5gDqohA1/EBzAKv7TMsR7KqoqJC9e/eauYmtW7cWDSTtDYznyxkWh8V/ogAep74N8IBHsO+PxAfxUVfxoT+3i4uL5ZxzzpHExMS4/LHtGgGsjn4gAVTp04UajqjpnL+dO3eaR6n09ejR4+SikEg/q65czg957UIuKiqp4E8FAAAKLElEQVRCAL/+2nSnw+K/AgiP/75F1W2eHsr7Fkv3wON04eF94X2p6h3nfanZ736uF8CNGzeKip7OsdO99Xr16mXG7fXSXsNu3bqZ/9dL79P7VQh1A2bdOsaRw0g/CwU3Qck3LL5hhfKm/KdHlB/wvC+8L7wvoRHgF4RIOIWaxvUCGGpFonkfP9T4gcYPtNDeQN4VfqAFixTig/ggPkL7XloTdyGANUBRt4ZZtmyZWXFcv379Gniidx8Bi1PbDh7wCPY2Ex/EB/ER+s873pfQWYVyJwIYCiXugQAEIAABCEAAAjFEAAGMocakKhCAAAQgAAEIQCAUAghgKJS4BwIQgAAEIAABCMQQAQQwhhqTqkAAAhCAAAQgAIFQCCCAoVDiHghAAAIQgAAEIBBDBBDAGGpMqgIBCEAAAhCAAARCIYAAhkLJ755169ZJnz59gqbUY+30Pt2IWr/OzMw0p5boFeyzCIpDEghAwGUEwnnH4+F7RTg8nE37tUl1Q//ly5ef3NBfN/fXc9/16ty5s6xZs8b87bUrHB7B6hzOc9zMKJx66Kleer/z81TrpVuw6YEQsRIfddVWCGAYpFXoCgsLTZDpOYLBri5dupw8hk6PpdNTSzZs2GCSBPssjOJE/VZe2lObIBwefFM/lV2s/dAP5x2Ph+8VofLQ75UqeM7pTvo9V0+Bco741M/69etngsdXAKL+zTDMAoTKQx8brM7hPCfMItbp7eHUY8WKFaYDpmnTpqaMugev/pJQHas6rZBHMkMAI2ioQOcS+z5Gf5iNGjXqpADqZ02aNJGCggLzm0tVn3ntGxov7anBEw4Pvqn/l12s/dAP9v77v+Px8L0iHB56lKce9+n8gq2xod87VQB1NEXfGx1N8fIVDg9HagLVOdznuJVZOPXQePCVf+foV+fI11iIj7psJwQwAtrVCaAGYV5e3skeP81Cu61XrVplBLCqz5wzjiMoUp0n4aU9vQcrHLGv6htVOFzrvNHDyPD/t3emNxXjUBilBShh6ACJCp5ogRIoAYmWgBKgAqAERAVACYxOJDMmk83O9pyc/IGXxNuxffPl2o5TyrG1h35X/6/38T3YihQeNDHaThjWrbcNvD887BHSjKjE+70nNM9Vb03l0Vbm1HhWLXRH4mPKAZvgLSaJLbSPJetJAZhBu08A0ggxTmHIlyTwDjFPAQHYdq1vXmFGVmcLYqf9izaVh0b9/wJ6Kw/9rv5f7+N7sBUpPOoGC28g02eCBwz7Gbw9TS8Zsxm8CSNO5dFW5tR4JizCpFHlloNw8dx6MrWF9jEp3J7Idi8AeXCH+SVNrDBA9bf2PgG4h7d6O+3f1pLKQ6PebplKf+invAzswVak8IhbRVjs0TbkG4aHv7+/i5oPmMsDNnGZ7+/vNzGalMsjnnLTZE1KbR8KwCUJZKTVJwDbhr/e3t6qDtw0VMi18GabkaXJggwVxHvptHPzKM2oz81jCw/9rv5f7+Ml24qhRieFR4iToV9sZewxJZ7D4XCC4AsHtrg0AZjCo6vMbfPJj+VZMnf7YHEQZQ3HVtrHUG5T3Ld7D2AOxCYBSONjXkow8Mz5C55FDBmGKzTWrms5+VkjTIoRi436VjttCg+N+j+NTXZLD/2uPr43W0Flp/CAD19bCCMv8YKpeIUw7YXVn/FUmzVsYU6aQ3nUF0jVy7yFZ0lq++D+phGXPlY59bT1MArAhBqm82GcEDFMPI2Hh5mncnl5+TshNXzWAkHIt6ziycpd1xKys/qtQ41YyOjWO+1QHn2Gao9GfWsP/a4+vkdbMZQHXi3af3zwYh28fsEGc44XbOZVl/b1BMo2lAf3dpV5K8+SFB4w4UUAhwoLK+NjK+1jqYe7AnAp0htMx077t1JTeGjU/3th2stDf4MmwCJJQAIFE1AAFlx5Zl0CEpCABCQgAQnkEFAA5lAzjAQkIAEJSEACEiiYgAKw4Moz6xKQgAQkIAEJSCCHgAIwh5phJCABCUhAAhKQQMEEFIAFV55Zl4AEJCABCUhAAjkEFIA51AwjAQlIQAISkIAECiagACy48sy6BCQgAQlIQAISyCGgAMyhZhgJSEACLQTCR625XN9HXGgSkIAEjoWAAvBYasJ8SEACyQTYVQPBxcekg+CKd4Zg1xV+s2VYfR9errGhPPvNcn2Kg3wQFzsVXFxc/NmrdIr4jUMCEpDAVAQUgFORNB4JSGA1AuzPjbetaV9YtiBk+0a2jbq5ufnNY9iBBAH48PCQnHfibBOOCFPijzerT07AABKQgARmJKAAnBGuUUtAAssQ6BKA5ABPH55C9pRt8hDm5BKR1yYc2fv79fVVAZgD1jASkMAiBBSAi2A2EQlIYE4CfQIQbx2ewLoXMDdPj4+PVVxNHkfiVADmkjWcBCSwFAEF4FKkTUcCEpiNQJ8ARJAxLw+PHUO+Yw7EH96/tiFnBeAYuoaVgASWIqAAXIq06UhAArMR6BOAp6enJ2dnZyfv7+9VHpifh4hjIQiLQ4In7+npqfLefX19nVxfX1f/c47r4Tz/c44jrPIljng+YPAAPj8/V8KT4+XlpcoDnkMPCUhAAmsTUACuXQOmLwEJjCbQJgAReIfDoYof71+8EphriEDEXn2xxvn5eSXu+Ht7e1v9ZVVvmPN3dXVVxdk3BIwQjBeeIETv7u6qOD0kIAEJrElAAbgmfdOWgAQmIYAARNwx148Dcff5+XnCcC1CDu9cvPgjJNo2Vw+BxyKOj4+PKlz4nEwIN0QA4vnD4xiLTsI1Cc5JIBiJBCQggQQCCsAEWN4qAQkcJ4GuIWBW/+IFxBNX/2xLlwBkmDgMGddLPUQA3t/fV6uO48PFIcfZfsyVBPZIQAG4x1q3zBLYGIG+OYBh4QZDr01z9epDwH0Cr+96mDtYF5Bt5zdWHRZHAhIogIACsIBKMosSkEA3gT4BSGjuYTg39sp1eQC5t+07f3UByBAxRxhmbotXAWhLloAEjoWAAvBYasJ8SEAC2QSGCkAS+Pn5+U1nKgHIqmBW+LJQhEMBmF2VBpSABBYioABcCLTJSEAC8xHoE4AINLx29W/35QrA+lZvDDEj/sKCDwXgfHVtzBKQwDQEFIDTcDQWCUhgRQJDFoGQvbCqN2S1bUi2b44fK3xZcRyGk9llJP60CwKRxSf1OYBt51dEZ9ISkMBOCSgAd1rxFlsCWyAQBBUrdjnw8MWfe4nPx4s/OB/EXwgXriPs4g89IwabvtvHfYg8ruP9I23i5TwewRAv6XC9fp7f4UPSW6gLyyABCZRFQAFYVn2ZWwlIQAISkIAEJDCagAJwNEIjkIAEJCABCUhAAmURUACWVV/mVgISkIAEJCABCYwmoAAcjdAIJCABCUhAAhKQQFkEFIBl1Ze5lYAEJCABCUhAAqMJKABHIzQCCUhAAhKQgAQkUBYBBWBZ9WVuJSABCUhAAhKQwGgCCsDRCI1AAhKQgAQkIAEJlEXgXwaNxV0PBOdVAAAAAElFTkSuQmCC\" 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+       "<div id='fa728102-7b91-4a35-badf-ea652b1fa5b4'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -4391,7 +4376,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -4608,7 +4593,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -4665,7 +4650,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -4729,7 +4714,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -4937,7 +4922,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -5034,7 +5019,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -5107,12 +5092,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -5161,7 +5143,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"1000\">"
+       "<div id='4c193eed-5dd6-4fa0-aa32-eca2e1fff891'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -5291,7 +5273,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -5508,7 +5490,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -5565,7 +5547,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -5629,7 +5611,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -5837,7 +5819,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -5934,7 +5916,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -6007,12 +5989,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -6061,7 +6040,7 @@
     {
      "data": {
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\" width=\"1000\">"
+       "<div id='c65fca28-27f4-492a-9ef1-ead379d2b6e8'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -6117,7 +6096,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -6334,7 +6313,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -6391,7 +6370,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -6455,7 +6434,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -6663,7 +6642,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -6760,7 +6739,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -6833,12 +6812,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -6887,7 +6863,7 @@
     {
      "data": {
       "text/html": [
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\" width=\"1000\">"
+       "<div id='bcf20205-73a7-4666-9fb7-6867a26b281f'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -6943,7 +6919,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -7160,7 +7136,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -7217,7 +7193,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -7281,7 +7257,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -7489,7 +7465,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -7586,7 +7562,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -7659,12 +7635,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -7713,7 +7686,7 @@
     {
      "data": {
       "text/html": [
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\" width=\"1000\">"
+       "<div id='a52db318-3935-4648-a74d-5d256e3c90b0'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -7805,7 +7778,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -8022,7 +7995,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -8079,7 +8052,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -8143,7 +8116,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -8351,7 +8324,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -8448,7 +8421,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -8521,12 +8494,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -8575,7 +8545,7 @@
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      "data": {
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\" width=\"1000\">"
+       "<div id='5d8ae051-20c1-4751-aa18-fbff43a84685'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -8631,7 +8601,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -8848,7 +8818,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -8905,7 +8875,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -8969,7 +8939,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -9177,7 +9147,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -9274,7 +9244,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -9347,12 +9317,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -9401,7 +9368,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"1000\">"
+       "<div id='95ec847e-1c1a-4373-a58e-aaf1ab80714a'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -9457,7 +9424,7 @@
        "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
        "        return MozWebSocket;\n",
        "    } else {\n",
-       "        alert('Your browser does not have WebSocket support.' +\n",
+       "        alert('Your browser does not have WebSocket support. ' +\n",
        "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
        "              'Firefox 4 and 5 are also supported but you ' +\n",
        "              'have to enable WebSockets in about:config.');\n",
@@ -9674,7 +9641,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -9731,7 +9698,7 @@
        "        var fmt = mpl.extensions[ind];\n",
        "        var option = $(\n",
        "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
-       "        fmt_picker.append(option)\n",
+       "        fmt_picker.append(option);\n",
        "    }\n",
        "\n",
        "    // Add hover states to the ui-buttons\n",
@@ -9795,7 +9762,7 @@
        "    var height = Math.abs(y1 - y0);\n",
        "\n",
        "    fig.rubberband_context.clearRect(\n",
-       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
        "\n",
        "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
        "}\n",
@@ -10003,7 +9970,7 @@
        "};\n",
        "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
        "\n",
-       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
        "\n",
        "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
        "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
@@ -10100,7 +10067,7 @@
        "mpl.figure.prototype._init_toolbar = function() {\n",
        "    var fig = this;\n",
        "\n",
-       "    var nav_element = $('<div/>')\n",
+       "    var nav_element = $('<div/>');\n",
        "    nav_element.attr('style', 'width: 100%');\n",
        "    this.root.append(nav_element);\n",
        "\n",
@@ -10173,12 +10140,9 @@
        "    // Check for shift+enter\n",
        "    if (event.shiftKey && event.which == 13) {\n",
        "        this.canvas_div.blur();\n",
-       "        event.shiftKey = false;\n",
-       "        // Send a \"J\" for go to next cell\n",
-       "        event.which = 74;\n",
-       "        event.keyCode = 74;\n",
-       "        manager.command_mode();\n",
-       "        manager.handle_keydown(event);\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
        "    }\n",
        "}\n",
        "\n",
@@ -10227,7 +10191,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" width=\"1000\">"
+       "<div id='98d649f9-110a-4474-80d2-a60c3d5233a2'></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -10290,7 +10254,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.8.3"
   },
   "toc": {
    "base_numbering": 1,
diff --git a/Tuto-GUDHI-kPDTM-kPLM.ipynb b/Tuto-GUDHI-kPDTM-kPLM.ipynb
index 4ebfb42..c95a9d4 100644
--- a/Tuto-GUDHI-kPDTM-kPLM.ipynb
+++ b/Tuto-GUDHI-kPDTM-kPLM.ipynb
@@ -206,17 +206,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -234,12 +236,14 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -288,7 +292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -482,17 +486,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -542,7 +548,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -750,17 +756,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -812,17 +820,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Rm3I0VYXHn87W3H/h10LnRdH8pfiKR+PNOQZfzlH48v6MVv48mrep9KQm+w0K/GEukUq7K3cj23pTCaAvBpYYWdK/APqKSGPJgk0iHKUUhaUPoufGrtuKUtXkFlzL3pwz2Z55CFuzTuLnzKPIL3ue4EikFTVfUen5HqXcATX48RqWU26unxUrq1AKVqysYssWDytWVqMUvLqymvw8fbJJbS+MzThO4aO4an0DmTV/Bb78P4J7PRaqycmt5ODjPyD1sFs58KCDyPzhIDyF11BT+hR+9+fteLdMugv6DNXwlkilK6JCJlM/03mGsa0eInKDiGwSkU35+Y2l3jTpapSqwu/Pq7ctL9fPn07LJyc7Hc23DZvyEEM1SpWTW/Y0RRXL6u1f4fkWTdU0rNv4nDa9As1Y0TS49fYSap8Pfg3Det+HGEdqqgavv2Hb0SqmIaoaEUEQJk4rYm+Gj8xsjb0ZPsZOzOd3xy8lc/d03MVXUpk9FJ9nWyvujkn3RfCHuUQqXaHcQ92NBi83Sqm5SqlhSqlhAwe2KcCbSQfh8e6itPJ1gpvRszMqSE/3M2umrnRrLWonGkpVk18+o97+NusgLOJsUL8AWYbV7vEY5/TA1m3+unWvJ8h6B7yGPBZxEOsY1qBerea9ukaYnetj0fLyeuXLXqtg1x4fT0wrrb1SagovqPdmYdKz0QdUJawlUukK5Z4BDA5YT0FPBGzSDfBppbi9GeQUjWN3zjls2fYgZ52WSZ6hXPNy/bxqdJm8FtRlYjXqCLam+7nOR8RGw+e+MHPGPqu9MWqtd6WgQllRCBZxEesYRqzjhAb7i6Vf3ffHpxXi9dY/gd+v/7lfWlFJbl5tfBEvfveGun2UUuRWfcPWktfIqdrcoKvJpHuj+7mblntLWQtcLTonA6VKqewukMOkBfj8xWzLG8V3GSfwS86ZlFQuRuFm9vQCMtL9zJquK9dnA5RxqC4TAIdtaL11q8XF7+JX4ow6BIWDas1JhdYLZT2WdzZodVZ6Y3g98N4GC47YmxHb0bhsR5LS5wGGDlwQ0h3SEns3in1Wu9ZIx6nPr5hSZ72D8us2iMdfwZvpI/nt+eGkHJnGoNhhVA+OxfvS/KYFNelWaErCWiKVjnCFfAU4C4gTkQzgEcAGoJR6HliP7ga5A90V8pr2lsGkffD6i8gsW0aJ+wvc3m1YVAkiXmzKi4giL9fP6lX6QOdrq6r5Z1ovXl1ZjTeoy2T0HbHEDbTiBUScJPZ9qMG5XPZDOWzQCj7PuJD+b+zlkCdzcGb/xK4kG1XzbmPAdbPCkjkpjH2sztNRMdfx+LTJDaz2etfv1a33++/qw6B4KxbbMQBsKphB31VfcuKDO4hy60+G6Mwq/DfeAhYXpKWFJatJ5FJruXdn2l25K6WuaqZcAbe293lN2pcaXy6bsy7Bp5Wj2Gc6O5C6PvTnZtQf6PzP6GKCeyd0672S8RP7Y406jiF9HyDWeUrIc+4uWUT/1ekcMTYTa7VekSvTi330bDTnMCzDR7bb9UX1vp91G2ehaWVN7qdpuvU+fepJWOwn63KWv8tFz+yuU+y1WKu9qLFjkW6m3Lfm5LP6+5+p9ng573dDOe3g1P1+AphC8HfzLKTdW3qTDmNPyWxycgq46sytFObX+qcLNSoKj7KQm6Nb7YFW+o5t3gZdKF4PvL8xloNT0jk4YW2jih2gsPp/HPJkdp1ir8VarWDcA+14dToZGZkopeqW5OQGTlt4PPDmu+AauK5O4SnlJya7kb6i9O7lJ7/sq+9YfPsYRlxxKY9cdB4HDTuOl+64xxxDoPt3y5jK3SQkRdUf8uKsPLLTfSyZWX/aggcLz81sONBpt0dxyy231FOYSikyM3PDOqfdGoczO/REJ0nPadV1tISMjIwGsiulyMwqRwK8eZJiTqEy0R5aztTwUrNFAoUVVfz45DM8vGY5yaXFWICk0mIuf34mW5+Z0ezxPRmF4FHWsJZIxVTu+zHV3u3sKXqE7fk3kl+xHE3b5+pXnG/n7VXlKAVvv1oWYL2DILy/sabOaq/F4/GxZs2aVstzQJ9rcCfZQpZFktI8ceAYfvrP4fic9f8+KtoFEyd2mhxVHi8rv/6Bsa+9w9yPvqKwoqpFx3+2cw+jN67D5fXW2+7yehn0xOT2FLXboU9isoS1RCqRK5lJHVXenWSVvUxe5Zv4termD2gGn7+UnYUP8UP2BeSWv0RJ9TvsLX6ULTkX1k3XX/6cFWWY5n6/Mqx3K1Hiwh41iK+23EONN6eBlZuRkdFqueKi/0jF+Gvwu+q/6na20myOGFsCx9/xOfkzR1OT0hclgkodjMyd12mDqYUVVfx9xmK+n/I0t/77Kq476yQ8KSlkzg4/moc9KoqEkuKQZX0LzImD3d0VUrpD39qwYcPUpk2bulqMTkcpxfbCR8itXI1uL1sBC8ckLKK345hW1Vlc/T+25t+MpqqpnTsmgBWFRZwk97kDqi7hoIMOwu3eZ8k7nMLaz//Gn45+CZu1b9jn82jVWCUKq4S2yEPhX7oQxj6IJSNHt9gnTjQ9UIJ4aPUGPEuWMH7dCly+fZa322bHuWhhWPer2uOleNAgkkIoeE9yCvaM7jV+UIuIbFZKNZy91gIOPdqlZq8dEta+fz7o1zafryMwLfcIpqDyHXIrXkOpan2av6pAU6VszU2joGw+Hl/LrGS/5mZr/q1oqhpBYUPDgR8bfgryvFxy+m9s2/0ajz32GFqQ87fSolgzLzVsxZ5V9RMfTzsL9+D+WKx2qlP64Vu6KKxjrcP/jXVvFqJpsHu3qdhD8N4vOxj9/pv1FDuA0+tBeyC8wWeX3Ublw+OpttV/8HodTuxPTGk3WbsrGhLW0hZEpL+IbBCR7cZnv0b2e1tESkRkXbh1m8o9QlHKz46ih1HU1DUfh3jpa3HjoJjs0klsyz6T/PLwJ86Uuj9Fj6aisOPHgkIELAKLZpaSle7jhel7WLt2LZ4gtxePxxt2f3qxJ4OfnhvByWM/pneWG1HgyiyBG26AZcuar8CkWexWK4llobtUpAVdY0PvGo3Mm0d1YhJKBP/gwdgWzN/vH6j6gGpUWEsbuR94Tyk1FHjPWA/Fk8CIllRsJuuIUAqr3sOnldQpdguKaPGxz/3YgwJyS6bQ23k2DttBYdSq55axGrHsauvKz/Xz31WVKAWrl+9l1649JCQktFr274pe5+Rpv2IL8gOPqvbhH3sf1jYojvSq3byRuYI9VTvpa+vHBYmX8od+J7W6vu7KZcOOIqdPP5JKGyr4lg4+O0eOhJH6HILI9f3oXGoHVDuBi9EnfQK8CHwI3NdAHqXeE5Gzgrc3hWm5RygFlW8RGFDUJv667/m5fi74Yw4FeX4UfkqrG4a1DUUf5ymAr85ir2X+zNKAyUiKxx57rFUyby//lhlb72Bj3of0yg4dZMuS3vowQhlVe3h622PErFzLA+cvZdxRTzDkyHPYMqcxY6fncsOZJ/LmFVc36FJRrsgafO7O+JWEtaDPxt8UsNzQgtMMqg2/YnzGt5f8pnKPUKyWGAJ/nsCevRdmlJOZ7ueFGeW0JKq01RLLIQOeQom1biZprdXurYu66GXRokXk5LTMr3xnxY8s2/0Eia9/xn/OfztEnE8dNbjhRKFwWZv1Kse8+Stpj3/JgJwqREH/7EqG3v0U2rKXWl1vd8QeFcX1L0yn8JkZVCYkGh47qci8zvPY6cnUzlANZwEKaiPYGsvcwLpEZKOI/BRiubgjr8FU7hHKoF6XYZF9E2W8Sv+p8nP9rDG6UN5YVUlhntDb1VTiq/rExVzAwQNmI6L3yAVa7bX4/f4WW+/v5izjiHW/ccmEb+mXXR1ymMnvsmGZ1PqBur1VO7n42e9wuP31ttvdftTYsa2utzuTctvNxGTrg8+yZ4+p2NsRTVnCWppDKXWuUuqoEMsaILc2WZHxmdd0beFjKvcIpbfjWA7oeweCA4vEINKbGhXDCzMq68VzeXFOCk7boSilhT1lvH/MBRw44FmiLPH8b6M7xGQkT4snI+XXZHLerC3YgxQv6EZ8TUocMm9Bm5RPf3sc/XNDT9SxpGe2ul4Tk2D0wGFhW+5tYS1QGzRpJND6WYBBmAOqEUxKn+uJj72UkurPsFqicRcfwtpXD68Xz2XFy5u56c4Lie7zPUIUfaIvJqnfBKyWXk3W3S/mAvpGn09GRiFW6YXF0jBZRkuIsyfSN6eRCVYiONLbPinmb4n/oDjhafpnN8yLGkkzWDuCn/PyeO2Xn6n2evnr0KH8MfWA/T64V0eiELydE1pgCrBSRK4F9gKXA4jIMOAmpdR1xvrHwOFArBFt91ql1DtNVWxa7hGO3RpHfOxFDIg+l4kTp6IF9aFUV7t54tH3cODDgpvSqjfYlf+vsKx4EQs51b/ydsbNrNp5AR9k/Yfimu2tkvPchH9RmhAd+jztpHiP7PN7ih65G4+zvk2ioqN79CDi/M2bWHTPf/j3pf/g8fP+zMHH/YEX7zWDe3UkSoFfWcJa2nYeVaiUOkcpNdT4LDK2b6pV7Mb66UqpgUopl1IqpTnFDqZy71aE8j8HePvNakT01zALNbi9W6n2fNdsfdtL17B37g2cccrLXHbIW5xwwix+mX1RqxT80F7HUjnhPrwdrHgPuXECUfMXoaUORonAAQcgc+f22L7mvMoKfp0xg0dfWU5ysRHcq7iYK2bM5J3HJ+BrLNOISRsJbwJTWycxdSSmcu9GZGRkoGkaFdWf8snmY3A49O2agvw8f52CFxQ1vt+arEtTPgoWjuOkcduIzfIgCmKzPJw4bhtZ8+5slXzJ1z2Mbf5iVGqq7kTfQYrXkjYcy569+8UM1k/27OXudW8SHSK4118eHk9+/EDy589t5GiT1qLoHMu9I4lcyUwaoJRGRuEN7C0YyaxpO+oNrM4OSGen0HDaDmuyrmpfEcc8taNBwokot8aQye+3Xsi0NN1rYz9QvJ2BI8pKQnEjM1GBxMIiYm+9Hc9LSzpXsP2AThpQ7TAiVzKTeiilkV06jfLqDeTllPNGUKKM11ZW1SWjdkYdg8t+dJP1Oay9ic6uCVkW3cgEpEhDKUVRTSWVvmaSrHZjzhpyIDn9QoYbqcPl8WAZNYqtz03vJKl6PorwEnWYyTpM2oRfq+K77MvIK5sFeJkzo7yBb3qt9W6zH8dB8c3Hb4myOPEkhw4C5k8Z1A5SdyxfF+xl8n2jcA9OwWV3UJgwkMoXwwtM1p2IsdspH98wuFcwUZoi9a57cS95sZMk69kowKuiwloiFVO5dwP2lsym0rsVpXTL/IMQvuleD3ywwc6Q+HVYLKG9VoKxTZmJ31VfaWguB1GTn24XuTuKvRXFvDbxHu6c8QpJ+SVYFAzILcB64009MjDZYaNHY5k/n8L4gY1N/AXA5fFSfs/d/FRs+vy3nfBiuUdyPHdTuXcD8ipXo1QNNSoKpeCDrxLYsjepbvkl/XA0rYasrOIW+T5b0kZgnbcIZXieqNRULG2caNQZLP3ta25f+g7RnqBwtzUePPf3zDgzjquvxpmRwROjr6fK3rgVH5dXRP/DjuTXOc90onQ9D0X7zVDtKiL3ncKkDmXEjvFiwa2sONk3C9RiiWZw3EJEQuf0bJa0NCTClXkwO8sLSCwsDVlmy+y5VmuMzc7dz8zh3YGDOP+RiUQF982hD7Im5ZfS/677Ub0HdbvfNpKIZKs8HCL3sWNSx8DovyPYAaFK2SnRHFQpGz7LQRya9A0xzlPCrqvUW8rXRV/zc9nPaKp7+kgPi0slJ66x8YLWBybrDtitVv42bgJLx91BdRMWvLPGixobXtIOk4YoJd3eco9cyUzqOKDfHbhsB2CVGH2DxOKTOIYOerHZMAOBrM5Yzcopl3DQkWfzu75HUpLcl+JFsztI6o7jyoOO54WrL6DaUV+5eZwOoib3/AxCIsLIR59h59NTyB7Yt9F+eElvfT7b/R19QNUa1hKpmN0y3YAoSy/+kPRfCqs+oMLzE86oFAbGXGCEBQ6PH0t/pHDxLK6e9HFdVMX+2eV4brkTZe/brV7f+9pd3PzYHN7ok8BZsxYyqKCEqsQEoqc+GfHjBe2FiHDkbXfz8gV/5E8n/5nE/IbdVD3jm/S8AAAgAElEQVQ93k7HIhE9QSkcurf0+xEiUcTFnMeQfneR0OvyFil2gPdy3+OS2V+FCJfrw/9Ag8QvEU+CqzdXPfQ0iXnFWDRFbGY2lrTh9fbxaxovb/meC199ifNXvsgL336FOyjnaHfnqgNP4JsxNzV4i+np8XY6Gn1AtXv7uZuW+35Ctb+aAbkNoykCWDNanx2preRUlDNv8ya+yEwnpXdvbjj+BI5PbJ9+89s3rCN61UrmrH6TpKISsvv3Y/bwK7hj2myiLD3DrhER/nbfFKoTD8cz7kFsmVlIaioycWKDtxifpqdptIr5tw+HSJ59Gg7dW3qTsDmh/wkUDYoNXTh4cOcKY5BZXsZfly2hZOECXrjtDuZceCkJRx7NN08/2ea6txTkEb1qJRNeWklKUQkWILmomFueX8CWmdPaLnyE4bp6FPb0jJDxdoo8eWycdhnlKX2wWG2UJ/ejaokZj6YpzBmqJu1CZnUeb2d/xqf53+HROqbb4IyBZ/DBnedRExS10e9yIJMmdcg5m2PGF59x1qef8dgrK0kpNhRwcTG/GzsObenSNtW9OSeTu1avb+AL7/J4OWDK1DbV3Z3waDV8MO1Kzhj7Bv2y9dSEvbJKiLrx1v0uNWFL0bCEtUQqkSvZfoBSijk7VrFi8kj+cNz5nDLoOEqT4shZMLPdz2W32Ln4nhXsmvYAZUn9UAK+wclYu3DS0qfpexmzbn3DiIceL9oDbXPjG+iKIbEodMCtPnltTxzSXfi+5AvOnvFVgwxZdrcP3/33dpFUkY9S4NUsYS2Ritn51oV8Ufgj7iWLuWXqRpw1PgAG5pZRc9sYNGf/BgOEbcVmsXH4TRPgpglA1//4A6KjSSouCVlmbeNkpLOHHETOgH4kFTZU8FpKCq1xYPsqPYOFX39DbkUFZxw4hFHDjqOfy9UmOTuagppshuWEHmuxZeZ2sjTdB71bJnIVdzh0b+m7MW6/l8U71/OvuR/XKfZaHN3Ug6Wl3PiHE8huJOJhW934HNYoZNIk3Pb6M3f9LhfWyZNbXN+K73/ktfvH8tC1o3htZBr/vOjvzLj5doqqGkktGCEkuQ6gJCG0Z5U7uX8nS9O9MGPLmLQYt9/DqM+e48A1HxGfWx5yn6iM7HY5V0FNGQt+e5cHvn+RJbvep8QT2orrCi4Yeig/3jG6QcTD9nLjS7zhJhwLF+JNSamLnWOdN6/F3VA1Ph/fPPkUj6xaTnKJng0puaSY+15ewmeTWv6gCIdvC9MZ/eVK/vnhPGb+/D7FNaETgzfHkb1P4H93nYbHWf9dRQE7T7expXh1O0jb8+gJrpCmcu8C1qRv4nfrPuKOpzc2/txvBw+WnRU5zJ8wkr+dejkTjxvFn0++lLkTRpBZVdimen2axo8FOWwtym9THk8R4fxHxsO8eXhSkjskbZ6kpWFLT0c0TU8i0op6t+UXcMf6/4bMhnTC88+1i5yBrN37AysnjeG+C29g+dk3cNlZ/2Dmg9dR4K5o/uAgoixRnHvXKr6/+IB6M1kFOOKVHCy33kyVr6DdZO85mOEHTFrB+7lbuGHxe7iCumNq8buc7eLB8uG0+7nj6XUk5JVhUZCQV8btT/2Xj6a3frDy44zdPHTrKPoffgRDB8STGx9H1tzn2ySna+TIRt34IoG+Llej2ZDii4ra9Vwezc9XMyby8Ow3SM4vxaL0QGD3znqVz6Y/3qo6XdYYDv84s4EhIcDhy3PJmX9Pm+XuiZg5VE1aTB9bNIPyy0KWKcA6b36bFZxfaVzw7OoGDxBXjY+zZ6xoVZ3ZleW88diDPLRwOcmFevdEQkER/W4fjfelnutWN7hvHwoHxIUsq0lMatdz7Sov4NaX3sVVE/SWUOPlpGmt8023iJXYRrJuiYLEx19tVb09Gd1bxhrWEqmYyr0TUUrxU2EOh8UcSN7APqF3Sk1tF8vVghDfyAOkse3NsWrbT9z9Wmjfcd8DPTOOei3OqVMbDM56nU6cU59o1/P0tbsYVBDagyg+P/TbQzh4kgc0WubManl3T0+nsyYxiUh/EdkgItuNzwYeBiJyrIh8LiJbROQHEbkinLpN5d5JZFaUMmnM9fQ7/Hdcc/hp2Ku8eKz1b7/mcrXbhCIRoSwhtLVZkTiwVXXmVlWQGMK1EMCZ1T4DwJFKr39fg3PhQnzG4KyWmoptftvfsIIZ5OpNUXxoRexOav1bgmPKDBrTQ2pwzw6T3Fo6qVvmfuA9pdRQ4D1jPZgq4Gql1JHA+cB0EQkd8zoAU7l3Ei8+PIa7Zi8huUCfidm/ogpEqO7TOyALUss9OZrC9cST1DiDw+LacU15qlX1nZ58ANkDQrsu+pL3AwWRlkaUMThraeXgbDg4n3iSGkfwW4ID1xNtmFmbloZ24/UNFLxyObFMat+3j55AJ3rLXAzUJr59EbikgSxKbVNKbTe+ZwF5QLMWWrsrdxE5X0S2isgOEWnwFBKRUSKSLyLfGct17S1DpPHqjh+5ad4rDboz7D4/lQ57mzw5msIxYhSO+YvwDtY9UbyDU7DPX4htxNWtqu/c1ENYfvUVDZJEeBwObFN6fhz1ziJ25DU4FizEN7j2LWEwtvltn0lsnTMXeWkpKjW1zjOJeXMpvrQfuwvHkFE8Ebf3twbHefzl/Fq8nM9yxvNL8ct4/K3r1ututMBbJk5ENgUsN7TgNIOUUtkAxmd8UzuLyImAHWj4QwXRrpMURcQKzAbOAzKAr0VkrVLq56BdVyilbmvPc0cq1T4vnz8zmf+rCO2n3D+/g93Q0tKwGUqh8bw94RFlsXDr1Fl8PiiZI5+eTlxBIe7ERJz7URz1TiMtjSjjnrarP0ZAWkVNedie9y+qC38iN6ecay/LY9HrCzj+8On0j7kIgApvJu+kX0PSmr38/qldRGd7qEp04p88FdfVt7enZBGFUoIvfDfHAqXUsMYKRWQjkBCiaFxLZBKRROAlYKRSzadRa+8Z6CcCO5RSOw1hlqO/dgQr9/2GjzJ3cffKtxv9g1YmDCL8XEpdjzMqij/d9yDc9yAA0V0sj0nLqPL8SGbxFKq8P2DBRVZ2HtdelsFxJzjISvcxb0YeAyfeS1/Xn7FYnGzKf4qEN3ZywrhdRLl1fRKT5cZ/091g7d+jH+rtNUFJKXVuY2UikisiiUqpbEN55zWyX2/gTeBBpdQX4Zy3vbtlkoH0gPUMY1sw/2eM+r4qIiFn64jIDbWvOfn53TfQk9vvbXQQUgFRk83+TpPOocqzhW25l1Fe8zF+rRSvlsP8mQVk7vWz/o0qlIK1q6ooyNOo8GwCILvqK459Or1Osddirfahxo7tisvoFDqxz30tMNL4PhJYE7yDiNiB1cASpdSqcCtub+Ue6kqDpzD+FxiilDoG2Mi+wYT6Byk1Vyk1TCk1bODA1nl3RAJ/TBxC9oDQA9uevn1xjRwZsszEpL3JKnkSTbnr1vNz/fx3lR6OQjOCRvr9inkz8rGIHhDNIlFEZ3tC1ifp6SG39xQ6SblPAc4Tke3o3dlTAERkmIjMN/b5J3AGMCpgrPLY5ipub+WeAQRa4ilAvTQ/SqlCpVTtjIp5wPHtLENEEeeKYes9dzcYhKxxOLA9+2wXSWWyP1Ll+ZFAW2v+zFL8QT23Pi+sWVXKjt1r8PoLGdLrL1QlOkJX2INztHaWn7uhD89RSg01PouM7ZuUUtcZ35cqpWxKqWMDlu+aq7u9lfvXwFAROdB4lbgS/bWjDqNfqZaLgF/aWYaI4+z7HqJg5nRKEuJRIlQnJ2FbsABLD+6vjASUUtR4fG2Kf9OTsEft6yGttdpDpZT1+xWTJs7gl+xzOKrvFey470R8zvqqQkW7enyOVjP8QABKKR9wG/AOutJeqZTaIiITROQiY7fRxkyr74HRwKj2lCFSGXzjLfTNzkU0DVdGZpOKvdxTw2Nfvc8Jy2dz4vLZTP76Qyq9oV+Nm8KvaXyRkc7Gnb9R6nY3f0APYt073/PMaaMo7jsQZbFQGZ+IWrasq8XqUhL73FXX3TJ/ZilaI888nxc+3FCJTyslv/w5jrn9I6rmTMQ7eGDdnAyZ275zMiINpcCnWcJaIpV2z9eglFoPrA/a9nDA9weAtqXZ6cH4NI3L3lzGkW9vZPVrb5FUWEL2gL7MGXkFdz81B4uEZyn8kp/Pyw/cx82vv0FCcTHZ/frx7ZgxnDWuRd5X3ZJ33t/CTw9O5c5vVuE00hbG5Ofgu/Y6vcH3YKXUFH1cf2Jwv0lklDzGRxuzaMxecDiFpf8dBPgpq/4AEaH3qPthVM8OMRFMJIfzDYfIfex0M5RSvJn1ETd8/Qj/+vweJv78AhlVLc9080HGbxzz7vs8vvhVUgqNvKKFJdz67EK2zZ4RVh1+TePlB+7jgSVLSSourstNetKjj7J7ds/v51+09BNG/bS+TrHXElXjhv3g4dYUEnUg8moZe6xWNIHcGAvDrfWVmKYp5s8sBcBq6d0VYnY5ZoJskzoW7nqdHXOn8PiFz7D0tKe4/ux7WD313+S5WxYS9seCHO5Y9WbI4FxJYU4T/zork5tffyNk/PE+Ex5rkTzdkfyCcuLdoYNvqb17O1mayMGvPGS88E+OGLsbV6YHURBfqfG8X3FVwH5eD3y4wY2Ii/he13aZvF2NUhLWEqmYyr0dKPdWUv7iPG6cspH43AosCuJzy7l+yrv88NwjLaprcK++JBWGVky9csJ7EyivqWk0/njfbjxnIFySEvuS5wztflrZL55ftmTul4OsRdVfM/TJdKKq6197DLA4pRe/5vyDb/Yeyrd7j+CdL4cwIOYy4mL3zy4sMAdUTYCM6lzSXvisQS5UZ42PEyfMx6uFcElohL8NOYycuNDBuRg8GKUUOZXlFFQ3ni7vhOTkRnOTVieEmgXds7j52rNYdNQFuC313U81ILoolwHDjmLdP/+z3yl4TXlwZoXuaLdllnPYoNc4PGEdB8bN5qjkT0ntPxGR/VNFKGWm2TMB4h39GZAXOhdqr1I3P895KOy6om12rJOn4A6KCqi5XKQ/cB8TR1+PP/UA+kfHkhcfR+H8eQ3q6Ot0sX3MmAa5Sd12O/Ynev6M2FNPPISzZk/gxT+NJNfVV59tiN7YLUC8u4TzXp/Fb49O61pBO5n+rhNwJ9lDlvlT9HhVLttQ+rjOwmYdhFJ+qmq+pbJmM7oj3P6E4NcsYS2RSuRK1o0Y4OhLWUJoS1mA1IktS0M36LobcC5YiJY6uC56X9Vzs3n2m8+5e+4Skov0QdL4/EKib70N/9KlDeo4a9w4cqc9Q3G87ltfmZhI1Pz5RI0Y0Yor7H6ccuLB3LhxHr+9+yX5zr4NGrpT8zJw+v4VydJmiaXq0dvwuepbm35XFNbJ9cNAV9Vs5tes49mVfyW789P4JetYKtyfdKa4XY7Z524CgO/xRxvEWailb05pyytMS8OyZ29dXtFX/nAUd7wWaqDVg+f++0JWMeTW2+iXq/vWx2Rl7TeKPRCLCHGNDK72Lt3/EkMPuPZpfM8/gzelH0rAP3gQlnmLkLR9bcOvVbArPw2fVoCmKtFUBX6thN0F1+D19/wxG+jU2DIdhqnc24kB19xGZR9nyDJ3UpMhmsNib1kJiUX7ZxaktnDs8UMoaGRw1ZOQGHJ7T8d59Z3Y0osQTWHdm4OkDa9XXlb9Fg1DQgFKo7SqQVyrnonS+93DWSIVU7m3EyJC9TNTqHHWnxfmcdqwtzLzUSAnJKQ0mgXJuz9kQWolTqeN8vsfbjC46rU5sD/VhsxGPRifVoymGjoBKGrw+Qu7QKKuwfSWMalj4L/vQObOxZ0yCCWCZ3AStvmLsA5ve3fI+Qceyov/+j+qGgQgs2M3syA1ycGP3IX2wgtUDUxAIfiSUrAtWlCXtMKkPrGOU9Dz7ujECAwQoY+AXcveL7yMVA8YUG338AP7O/YR18CIa/Tv7Vmv1crtTz3LxgGDOPHZOcQXFlGZkIBr6tT9djp9S4i+7hq4Tv9dmmv0fk2j2u0l2mnHYmlomRWVVzH3rS/44IffcDlsXHnGsVx++jFYLZH7R28JLvvR9Hb9hfKqN0mw+LACeXkaf7kkl3fWrMJlHYCrT/geYN2V7v4M6xmtcT+hl93BRY88TkJ+IRZN0Ssrm6h2eCsw0dE0xYd3PUp+7ziiY5zk94lj84P134oq3R6uemIZ5QsXsWjGfbz+8DWceeHZvH5Lz4q7Mrj/TAZZrUShD0pPnV7K3nQ/U6eX4qlcsH9Y793cW8a03E1MDP43ZgInz5qI06/3Nw+qKKLPlIfZYrdx5MNjAFjz+RZO2vwxD7y3ApcRLzexvJi/L5jOBwNi+eqUMzk0MY7zjz4Ul72tWWu7DhELNjyICDm5fpauqERTsHR5Jffd2YeYgTuJsh3c1WJ2GPpgaeQq7nAwLXcTE/SumMPnz6hT7LU4/V7in55ct/719nRu+mRdnWKvxeXzcvrkR7nnwrM4+ZzTeXr4zeSWVnSK7B2FGCnVp04vxWNMbPV44InppWiVr3WhZJ2D6QppYtIDcLu9xFeEdjUdULbPQyQ1vi8JjewXpTQsQGJpMWNWL+Gd+1sWVyjSiHKeW2e11/bCKAXLlleSvadlE/O6I6YrpEm3YGdeEQ+teIcrpi3j0VUb2VsQemLP/kq0y05+bP+QZUV94uq+X/7HY8jt1UjsnwBcPi/nvrKo3eTrChyxdzN1elmd1V5LjQcmTSvA793eNYJ1AgpB0yxhLZFK5ErWDdC0KgpKJrEr+3h2Z59KSfkSlPJ3tVgN+H5PNouuv5Obb7iKV+4ezvXX/ZN5197BzxktjzffUxERMu+8F7c1KB6P1Ub5uH2eISlxfal6ZDxuW/O+UAmlxfg1jde3/EzaipUMX7mKtb/8ghbJ5l4AFtuhrHu7uoF1qhSseasSX9WKrhGsk1BhLpGKqdxbiVIedmefQmnFLPBnofl3kV96H1kFV3e1aA34cNxjjF2/nKQyPSZNUlkxY9e/wkcPPt7VokUUf3jsPn57eDL5vQegAQV94sie/BQH3jO63n4HjxmNY9FCfCl67B9/Iy6QpXHx3LxmLV9MmcLUm25iyRX/ZNhpp7HkP/d0wtW0HRHh3DN6hSw77ywnmlbVyRJ1Iqr7e8uYyr2VFJZOxarysAFRorsdOYDqmvdxe37uYun2oWmKy9cuDzkAePHq/TunaCiOfHgMA0sLsChFXEl+A8Vei6SlEZWux/6pnje/gSXvttnJGns//Va/zvgVy0kuMR6sxcVcMWsme597rhOupu2sXh86tPTr/63Caj+6k6XpZDrBdBeR/iKyQUS2G58N+vxE5AAR2Swi3xn5p28Kp25TubeSysolCFCb0rT20wZUVL3eVWI1QAQSykMPACaUhd5u0jJi/30N9oULcSclo0RwJyVjX7iQjSedxOj/rguZEavfY90jI1a/fgNDbu/TJwqb68JOlqZz6STL/X7gPaXUUOA9Yz2YbOBUpdSxwEnA/SKS1FzFpnJvJUIVIpCb6+ePp+aTl+dHBCPSROT0xIkI5QMHhSyriA+93aTlWIan4czMQDQNZ2YGluFp9HO5SCwJ/QCNze0e4x0ZGZn4vbspzfkLFbP640vWc6/usgoZL1wWkWNM7YECNE3CWtrIxcCLxvcXgUsayKKURylVY6w6CFNvm8q9lVgkBoAZ0ytIT/czY/o+n+Y+McMbO6xLiHn6STx2R71tHruDmKfaHtDMpHH+ftjh5DSSEUsNHtzJ0rQesaaSuzIb573FWDP9iAJHppekMe9SvODOrhavY1CAkvAWiBORTQHLDS040yClVDaA8RkyhKyIDBaRH4B04AmlVFZzFZvKvZXExowiJ9fPqpW6N8GqldXk5vqxWpOw2Q7savHqETViBPaFC/APNgYABw/GvnAB1hGR9RDqafSPdlExfnyDjFh+lwvLpEmNHqeU4t30bdzw4atc/+Eq3tr7a7t52Hi0Gj7Nf59FO2exNnMFhTXNx2ev9u1l8BO/YA3KvWqtVsSMX9AuckUiLfBzL1BKDQtY5gbWIyIbReSnEMvF4cui0pVSxwCHACNFpNnXbjP8QCtxui5k5oyn8Gv6ut8Ps2b6WDB/ddcK1hhpaViNAGPWZnbdH1BK8caXW1j20TeUV3s4/YgDuen8k4nrHdOu5zl09Gj8/ftTc//92LOyYPBgrJMmNRns7d7P34SXX+bh5W+RVFhCdlxfltw8ipGPPoNI67sBqnyVPPnrQxy8djMXz9pEv9wqihNiyH7sIRKvDZ3wBUApL46s0HmA7VnVrZYn4mmn3lWl1LmNlYlIrogkKqWyRSQRyGumriwR2QKcDrza1L6mcm8Fbs+3fP/jRaxaUUStE4rXC6tWVvHEFDv7QQ7qbs/U1R9SuXARM/+3joTyYnJ69eP5cy7h9qXP0ScmdNKV1mIdPhzr8PDekrYU5aCWLWPC/Nfqsm4lF5RwxROz2Z10EAfedHur5diQu5aD1nzN5Y9/jsOt95X3z67Ec9uDKGdKoyGQo20HUZPkwJlZ06DMn9y/hyqRTnNzXAuMBKYYnw2yoYhIClColKo2vGlOA55prmKzW6YV5BXewqwZhXVWey0+Xw2PdRMviP2ZgrJKyhcs4oF3lpNUbrgolhczZt1SNj3WtQnEP87ezV0r3g6RTtHLgAkT21T3d8Vf8bdnv6lT7LXY3T60sY1HtRSx4Ht8HP4GuVetWCb34HGbzpnFNAU4T0S2A+cZ64jIMBGZb+zzO+BLEfke+Ah4Sin1Y3MVm8q9hSjlx+vfzcYNNQS5juP1wpo1+0kasm7M1sx8bmsk+Nfv5z7bRVLp9LY7SCwMHRqiV06Tb+zNYrM46JcbeuKRJT2zyWNjRz2E9sJsfCn9jdyr8ci8RViGX9MmmSIWBUqTsJY2nUapQqXUOUqpocZnkbF9k1LqOuP7BqXUMUqp3xufc5uuVcdU7i3E698LwBvrBuCo74CC0wmbNm3qAqlMWkJ831jiG/HxH1DStWnkLkg9nOy40DlftZSUNtV9xsDzKE4IPaYgqanNHm8bcTNR6YVG7tVcLGk9PZeAhLlEJqZybyFW6Q1YeHZGBVrQK5lfo127ZZRSfFO4l5d++4L3sn/Bq/VMn+LOZmhiHIX94kKW+ZK6Nh9tX4eLivGPUG0P9rBxYp08uZGjwuPUuD+x5d7L8TjrD6mraBdMbFuXT4+kmweXMZV7C7FY+mO3DOS9DTV4g6LleT3hdcu4/ZVU+JqOyljj93LNp4t5ffIYzjnlfP6UfASFiXEULQrrjcykGVxPTaXGXj9kgN/pwvZE1+ejPezWO7HNX4A7WZ/xqlJTsc6b3+Z0ihaxcPqdi3DPmUmNkedXpaYic+eFXbdfqyKnbBFbc4ezs+AuKmq+b5NMEY2p3Pcvqt1vIpTx1aZ4ho9wIQIjrnaxN2MIfr+HjIyMun33VrzHm3uuZNXOs9mYcRN7Kj7nw2n/h3twPDH2fpQl96Zw0dMhzzN/+yckrV7PuGfXkJRfikVBQl4JMTffDsvMmDBtJfbf1+BYuLDO91+lpmKdH76S62iiRozAmaHPeJU9e9pVrt6jbsGRntPiuv1aBVty/kZGyROU1XxCYdUatuZdSX7FqnaTLWJo2SSmiMRU7i2ksnIFSukTlgInMOXng9e7uW6/7aWvkznvVs46dTWXHfIBJ5+0iJxrr+LUsWvom12FKOidVU6vW+6jaskLDc6zeu933PrSBlw19Qf9HDUe/GMf6PDr3C9IS8O6d2+HKNCeSF75Ujy+bBRuCnJ9XHp6Onm5FewtfgRNc3e1eO2OmaxjP0PhA/SwA7U/rKbBjOnFKHTfSE35KVr4ECeM3U5MlgdREJvl4cSVe7A3cEPzI+MebHAev9JILCgNKYMlPSPk9o4iK6OIBTM3MHncq2xY9x0ej69Tz98SNv+SzsNz1nPvjLVs+GIrfk1r/qAOosJXzdvZX7M64xMyqpqfCRrpFFe/hUJX4gtmlpKV7mPBTL17sdL7U1eK1jFoEt4SoZjKvYVEuy4kN1dj1crqenklV64oo7hI92ao8Zdw1FO/EeWur1gaawbOzIIG285PPoqcuD4h9w/Hs6G9+OqTbbx89o38/Z7LuW/S5fz+srNYcsZ1VFc1nNDS1bzw2me8ecs4br5nOFPuvJijzzuFZWl3owWPfHcCm4u2MXv8FRx33LlcnHo6toMOYcPTYzpdjvbEIrEAFOT6WLdKT723blUlebnliGo+eUl3Q1R4S6RiKvcWUlU+n5nTy/EHOa5oGjz+uD4Bxm7tRXR2+MrPk9wwVtAth53Jy9ddTLWjvteE5uo8zwa/z89nNz7MbTvWMMhTigWIryll+Ncv8+0dkZXoI6egjJxZc7jn4+UkVuoTkxIqivnnqufYNnl6p8ri8Xt575l7uOOptxiUW4ZFwaDcMk4fN5Ndc0OPsXQHbGIDFAtmltbFutE0xYKZJZRVr+9a4dqbcAdTTeXeM9A0N5r/VzZsqMEX1DPh8ag6Txmr2PEmNxINMGjd67RimdTQQ6OXzcnoxxew7anHKE2MR4mgpQ7GMq/zBv12/5bHv357B6eq3+/v1Lwc9nJkJZvY9Es6N25+E5c/SFa/l8RpnesB803xDkbO/xBnTf1G4qzx0X9813vjtBZNK6Mo18e6VRV1nmJeD6xbVUF65uamD+52hDmYag6o9gw0rRyAlxbXV9zvvTuA7IzEep4yUVNmoLmCrW4HmaP+QmliLEqgKrk//rlzsI0IPcvPboni97fdR5+sXETTsOzZ26mDfg6njbia0C6b/auKOk2OcIhx2omvCD0xqXdR5/Z3+5SfgXlloWXJadgF111w2Y82rPb62zUN5kxvNgJt98O03PcfrNY4wMpto+srvFtuL0Gk/qxCS9oILPMWoVJT61ztLPMWkLLobfpklSOaIjqjEOeI6zvxClpGygFxFEWHfgNxx8vrSDoAACAASURBVCd2sjRNc8rvh5AXG1pWfwsmJiml2JybyeKfvuHd3dtbNXHsD/0OIT++d8iymuTIum8tIaHPGD7a6A45v2Pj27u7RKYORQtziVBM5d4CRITvf+7F1m31//Bbt/rZvuuchgekpSF79nRrVzvL5MnUWOq/gXhtDpzPPNlFEoXGabfheXQC7qj6svocTqLCnJhU4/eRtn4lrzx0H+edeQ7nHngo+fEDyXhhTotkiY5yUvDwvbgd9eMlepx27FOmtqiuSCLK2ptdu7/l/U1H1YXecDiFnXs+JiOj6dg03Q7Tz70hInK+iGwVkR0i0iDUnIg4RGSFUf6liAxpbxk6Cq8vndtv3R6y7Lprl3SyNJ1D/9E3Ylu8kJqEJJQIvuQUbIsWNBoetitJvfs2bAsXUJOoz+zUBqcStSD8mZ0vfP81iW+sZcKLK0kuKtGjRRYWk3TTLZRdf13YcmRWZ/L+eTEsf+hMihJ7oQQ8KUnY5i/Ekta9E6REO45m1YLTUYZ3jNJsPPXEK10sVcdgessEICJWYDbwV+AI4CoROSJot2uBYqXUIcA0oGtjrLYATSvit99C+3hv3x66j7UnYBkxHEd2JqJpRGWkR/QbiHXECBxZ+sxOy96WvS2t3Pojd72+vkG4XQvQa/6CsGYG57izmfTLBJzLX+fvz35Bv5xyigbFsuX+qyLygdhSsrJ2s2jRPDyGH7DH42HRogXk5OR0sWQdQDfvc2/vOPsnAjuUUjsBRGQ5egLYnwP2uRgYb3x/FXhWRESpSJ7rpaNh45tdoSPzOaxti9hn0vX4lJ+kotADyAIwblyzD4v/Zq3luDd/ZcSkz+ripg/IqSD2PzPw9j4a24iR7Sx1y9CURlZ1BjaLnUHOlmeVeejB89G0+gaO31/Do4/ez5w5i9tJSpP2oL27ZZLRE7jWkmFsC7mPUsoHlAIDgisSkRtqE87m50fG7D6lahAcIcvEEnoAzaT7cOFBh5PVP3S4XQD27m22jp2VO7jkuc0NEmI43D5k3Li2itgmtpT+yMuTzyf64COJj06kJKkPpYvDd2n1+Xaz/q0ddZP3avF4YM2a19tZ2q6nu3fLtLflHmp0Ifjyw9kHIyD9XIBhw4ZFxC102o9AxIZS9ScoCQ76Rl/YRVKZtBe3/+FUJl72dybPXRra6jFmBpd4Kvm2eAcuq4Pj+x+CzbLvbzTQEc+A3MqQ9Vszus5dsKAmn6+fHc1Vj39c9+Dpm12G5+Y70Gy9worN7vPt4IfNQ4gxQnAIgkLhVj5wnNqh8nc6iogOLRAO7W25ZwCDA9ZTgOAWXbePiEQBfYDIcppuBIs4SOk/GREXtbdOxIX9/9s77/CoqrSB/870SaUkpIOirIquq7us3dW17Oeuuq5l3VXEvlhWLGvFjiiggiQIqIAUsVFsKIKAvQsWpEiX1Mmkt+lz7/n+mEnIJBMyITOp9/c895mZe8+c+87N5J33vucthixSErv3dvtAqaxxUFUXvjtPfyPJZObe3Bd46y9/ahXhJuPi4IknWFLwGbMnXMbI3/2J44YcQXVmCsXzZjSNOzfjfKrSEsLOH8uyEapU+bJiPRO3TGfClmf4tOxrFLnv7uGL8k85f+b6sC32/OPbbo7dHL0+h3gUhBCUlikceVIR9nIFizBiEGlR/Tw9gl7uc4+2cl8PjBBCHCyEMAH/JtAAtjmNDWEBLgE+6g3+9kYGxv+DEWlvMSj+XyRa/kxG8gOMSF+FXpfY3aJ1iN1FFcy84EZ82TkMSI6nYkAKlbO1WvGDrHFctPoT9s6egSMzo1nN8zlsPe9Udr8wjf9N21dWYIi9lsG33IXy8mIADks8nNoJd+O1hN4UN/44xIqZOxfw86wHufHMh3not3dy5O/+j/emXkvjv1a1r5pBbdxRGIsiXAz1fNp02z1leg35BX6mTK9BAEbZtcXsuoLe7paJqnIP+tBvAT4AfgGWSim3CCEeE0L8PTjsRWCwEGIX8D+g7c68PRSr6UhyBj/F8CEvkZp0FXpdXHeL1CEaXB6WXHUX162cT3qwDktKbSXxt43Dt2hxd4vX7QghGH7TOOKLS0JyFN4r+ZZrw5YV8OEfv+9rPHzswxjmLUAdGqgVz7BhiDlzYhZltKchH8NrS7lm8kek2hvQSUgpreech1+l6MVALZuRSUdS3cYdhZodWZKX6vkMicRm97N4iQNVwuIlDkrL/eDPj9rn6TFolnsoUsr3pZS/kVIeIqV8IrjvYSnliuBzt5Tyn1LKQ6WUxzVG1mh0HWu/2c61361oXYfF78V/X6/7re0yHH43Q8rDh7yaim0hr3Wjr0CXH6gVz969MQ0f3VK3nX8+/1WrHx2z28+gRwNJU38YeBwf334mnhYt9vxWE/rJkSV5SRGoUjplek1T4TBFlUyeXgMifAXTXo2m3DV6G6UVdW3WYbHYbWH3a8BpQ45us6yAzIlOKKyUfjzerfj87UfmNJJgSCDF3hD2WFxJoJaNQWfgvLuWsHXqbdRkJCEFuLPT0M19MeIfHr9IpsDuZfESR0i568VLHNiqjohY3t5ApC6ZzrplhBCDhBBrhRA7g4/ha2gExiYJIYqFEDMjmVtT7v2QkcPT26zD4k3P7GJpeg9/Sj2KNeMublVWwG81o5vUuebVAA3O1ewpGUlh2bnkl55Ggf0v+Pzt+7KPH3QslWnh13ya/+iY9WaO/e80BpTUIlSJpbC0YxmzwsiTufvK/TaiqpIpz/wS+Ty9ha5p1nEf8KGUcgTwIft3U08EPo10Yk2590NOPmY4b5z5L1z60DosHqMJ09O9JmG4yzHo9Fw2fi57nnmMmozBSCHw5WRh6ID1CyClgtO7EafnJ2QwosXh/gRb1bWosgGJB4kHj28LReWX0l68QZzBivfxCXhaLOKqVktUfnQaMVpO5YM1nrBx7ivf73vKvYsWVC8AFgWfLwL+EVYWIf4ApAFrIp042nHuGr0Ag17HNa/n8cU9qfxu4SxS6qtwpKZhefrpPpEiH0sMOj0jbx4PNwf62BrbGd8Sh+d7CiquR5WB8FMhLAwd/DwVlTeFGS1RFBtu73dYzcfvd97M6+5AtaTiG38vhiIb5OSgmzSp1Y/O7obtrLa9TbmnlGHxw/lr+kWkWyNbUDWZ/8zWTf/A5/sJpCu4Nw6z9TySBk6PaI5eReSKO0UIsaHZ6znBPJ1ISJNS2gCklDYhRKvOPUIIHTANGAOEqVAYHk2591PiLCbOnvEYzHgMgN4VyNk7UdQ69pZfjiqbhSRKB3srrsQiXWzd6uXi8yp5a+VgDh8ZLMyFD78SWYa2bvQV+3WzbKxez6bn7uSyZ79noN1JdVoc749bzum3v0R23LB25xdCT/LgV3E7l+B2voEQJizxozFb/t7ue3sdHbPKK6SUo9o6KIRYB4Sr9RBpyvLNwPtSykIhIncDacpdQ6OLqHW+hwxnDkoVFcFdt9ag+OHOW2tYua7RgJNYTL/v9LmllOx44QH+OXFfzZtBpU7+OfFLPjXfQ/adSyKaRwgT1vgxWOPbz2jt9UQpEkZKeVZbx4QQdiFERtBqzwDKwgw7EThVCHEzkACYhBANUsr9hrZpPvcDxOHdxI6ya/mp+ES228dQ79nQ/ps0+jWKWo2U3lb7JR62bnGxK9gnYOd2hW1bA+Osxt9jNHR+kdulODlzxldhat4o/HFaH+t/GiWEGtnWSZondV4FvNNygJRytJRyqJTyIOAu4KX2FDtoyv2AqPdsYJv9UmrdH+NTbNR5PmdH2RXUuj7pbtF6PLt+/JVnb5nH5Ctm8Pkb36C07DTeh4k3n4AQ4b3099wWWo3yzltrMOvSyEiJTq10k87MwNLwGaoDSsOHUbbE5f6WfNsf2VOUyZ6iHOyVN7WqEKnRYaYAZwshdgJnB18jhBglhJjXmYk1t8wBUFD9GGrTglIAVbrJr36Uo62fdI9QvYAVs1ez/fbHuNK3kVScVLwaz9Ijz+HSH5egN+jbn6CXYzX9nkTL6dS7P0XKffV8dm1xs7NFd6+d2xW2bNORkxEflXMbdAYcmYOJL65sdcyTlYalnfd7vJuxVTQP5PDjcL2N17ednPSPoiJjj6MLEpSklJWEWSSVUm4AWnWIkVIuBBZGMrdmuR8ALu+2sPs9/r0EKjBotKS+uoFttz/GON93pOFEBwyRDi7c/Dbb75jY3eJ1CUIIhg5+nqyBk4gzHU+c6Y9Yhcq9t4WvIX/bzZtweb+J2vktU6bjt5pC9vmtZsxTprX7XnvlzWH3+/y/4PFtj4p8PYouSmKKJZpyPwD0Omubx7z+wjaP9Wc2frKFq/0/YyHUQrWgkDk/r5uk6nqE0DMw/hIOSXuDQ9LeIs6Qw+5d4V1Tu3f68Pl/jdq59VeMwTB3flPNGzl0KIa5kbVM9Cu7ACizK/z55HLKy/bJ7HJ9GDUZexS9vPyA5pY5ABIMB1Hj/YnQ0vQSEwoO1yrMxvBWTn/GHGcmRYb3+SY7w1uu/YEByRPYlT8WPz5atjoQworZ2LJLZScZPRpdB3MZpJTokKjAzLwGCgsVns1r4LEnAvVkDIbYlTLuVnqw4o4EzXI/AJJMx2JCofGnu8Lu56JTi6kr8+H1fNXd4vVIjvnzkVTowvuPfWn9t+RBnPUc0gbPRWBqccSMxXgsFtMxMTu3lJJS11a+LX+RHypfpd4XvvSvohRjQFBmV1i+1IWU8MZSF+VlCgKIt/4lZjJ2F4Iui5aJGZpyPwDiLX/EIlQS8RGPj5dmVFNcqPDcjHqk0vfqWkcDo8mI75EJuGlRldBoxjTtqW6SqmcQZ/0/Dsr4lgTrRehEAjrdYAYkXEdmauzKL0sp+bj0KbbM/hdHHPNfjk0dDQcdjG3e/a3G6nQJ6ISBWXkNqEFrVlEDVrxZDCDQuqGPofnc+ycW8+8xCQNCSCrL/Ly1zImU8NYyF1VVGd0tXo8l6+E7MSycjyc1HSkESnYOhgUdq8vSVzHo08kYPJNDsnZwSOYmUgc8iE60vbbTWfbUf8aIiydxxl2bSSrxICQklrhJGfck/sXzQ8bqdAOorv4jy5a68AXD9H1eWL7Ujcv935jJ2O30cp+7ptwPAIM+gwTL6ViFiTkzGmis66SqMCPPtf8393MMV12JucyGUFX0hQWaYu8mPDeOJvvrulYNjY1uFflAa+t95sxkpAwdrao6pk3bGkMpuxlNufdPBg96nvqa41m+1BVS2/qll1ZQXPh19wqn0WNRVB+flb1K3vYxTP3lX7xV9BR1vooulaHctY3DlxaH7VQPYChqnQH/7ntr8HpDNZnXq7BiRcsumn0HzS3TT9Hp4sh9ZmOTD7IRVZU8+vCl3SOURo/njcLJ1CyczlV/foM7j1zKGcc9yhe5F+BWIssSjQblnl8Q+0sMbtF4xO3+hO9/OJrC4sMpLbsAl/srpJRIKSkq6sNrTJrl3n9ZuWp3+NrWq20oSviwP43+S4WnEMuSdznnkR8ZYHMhJCTbXJz98LcUzn0o5ud3+mv4uvwVfq75BNlGQrAERLMa8E7n+1RUXYPf9yNC1uD1fktFxeW43Z/HXN5uRWrRMv2abd/nUFsc2C77Z6BJ9uWXxrHt+0zUhme7Wbq2UVSVL3fn8+ZPW9hd3jodXSM22N17OC13K6YWxbuMboXMxxfG9Ny1Pjvz9/yH6oVT+etJcxBKa6NTAp7TjwtZB6mtvQ+L9GJGhxkdVnQI3NTUTYipvD0CzXLvvxiCTYFL7QpL3wzUClnyhpPyMhVcb3WnaG1SUlvH5Ctv4OBRx/KPY4/COmIEi2+7C0XtwSZIH2GAMZ2kUmfYY3ElsU3k+tQ+j4Pf2cHZD/9Mss0diONmn35S9VB3/d+xfPxt03sUvx2jWokQImQzo8PXF0sOtEDzufdjjJYz0CF4dHINjcUNFQUenlyNX5YjZc9TmMvuHM+dSxeRWVONDsisreaS52bw9eNTulu0Pk+m9Tc0ZLTf6zQW7HVs4JTpOzC6Q7+TAmBoDjq/JHluaLVZd33g7rPUrjDqpFLszUoOGHUJMZW3R6BZ7v0XXeLtVNppstobeX25kwK7G8Xbs2q8l9U38M/lr2H1+UL2W30+fpP7TDdJ1Xto8Hl4ecf33PfNShZuX0+d192h9wshME+Zjt8aWvY30Os0tj+uRp2FpNI25C0Mvyjq86wCYFpuPQUFCtNy65uOWUwnRl3GHkWkil1T7n0TvWEoDzSz2htRVXhkcg0e59vdI1gbeP0K6bXVYY+lVGu+9/1R7KjlzyueY+OzU7nl/Cu48ojjaMjKpPzFSFtlBjCNuQ7D3AXIoUORQsCwYejmzot5vP8xA8+nPiN8UpQY2ro2jFQbQC3Hbld5bYkDVcKrSxxB611gjb8mpvJ2NwLNLdPveWtl+KSlFe+6cLtXtNm5XkrJ5up3WbDrUmZtO4tX9lxDfsO3YcdGi6wBSZQNHBT2WP2QtJieu7czYcMaTvnoKybMeYPsihp0EjIrqkn67zh45ZWOTTZ6NCI/H6GqsHdvlyRyHT/4X+y871x8ltAwGRlnhSeeaDXe07AAI4LpefUoQU+OosC06fXohAGT+aSYy9zdaMq9nzNwwOCw+wWgSgd+3/dhj2+sfoPSFx/k4tNWcPPIDzn/1NfY+fxYCh3hx0cDIQTORx7FZQx1C7iNJoxPaj73/fGZbQ93Ll1LnDfUpWX2eJH3t87o7GnohJ4/jFuG9/lcfDlpTXcNYs7csD8uiuNZSu0Kryxx0OjF8/ng1aVOampORYi+31xFc8v0c4qKbWzdeCIWc+h+VUKJ3Y/Pu6nVe1SpULVgEqc9tK+uR1KJh9Me2kzR3HtjKu/w28bhmf0cdWmBf3BHRgb6F+cRd/XVMT1vb8eg05FZ0UZES2HvqeEff9UtGAtK93vX4HN/CXiYklvbZLU3oiiSp/PCR/z0OTTlrvHMDFOrTFW3GyZOrqDW8Xqr7kxe1cGoZ35pFblgdKsc9XTsSwYPuP46kkoD/+DxJSUYx/SDTvad5O8HHYktZUDYY+F81r0Zb8MskPD+Ghct1t7x+eDdlbF1H/YIInTJaG6ZPs6q1TtaZaoCvP+eG69/J44WC6smXTyJtvCRCwm2UB++X/W36bfX6DruP/ZMXr/mn7hMoS4tGRcX1mfdm/H5dgDw2ar0VnekFouODRt6VhRYzNAsd42iohLqG17j18JMvt2Qijn4DyEllNkbqK1/IWS8TujxZqWEnUvJTgdgY813vPHkX6jLTga9DlfOENRXXo7p59BomwSjmf89+QK2vKk4MjOa2tSJOXP6VGVLKVXcgIJk8vSaMLWTdEyc2E963mrlBzQADIaDECKOZ1s0NJiR14DbvxW3d0vIeNOUXFRrqFmkWs0YJk9lW91Gtjz3P85/9CMG2ZwICdaictT/XNfxyAyNqCGEYPiNtxJfXIJQVUR+fp9S7ABl1XfSoFSw1eZh4SuOMLWT/Lzzzjvh39zH0NwyGgCYTaMos8swDQ1c2O0K1fXzQsaL0aPRzX0Rhg1rFu8caFyxqnQp5zz7Y6saJAZX74jM0OideH07qXe+g8TLjLwGVBVGXxnHnsIMbMVH4vfl9/1KkI10URKTEGKQEGKtEGJn8HFgG+MUIcRPwS2iOsuaco8SQhh4fnZ2q9tYRYVZeXV4fJtbv2n0aNi7t1XkQoXHzsA2apD0psgMjd6Fy/MNBHulvrk00F1s+VIntjIFYT0PfV9thN0WXeNzvw/4UEo5Avgw+DocLinlMcHt75FMrCn3KLJ69Y4mq70Rnxc+XOvB599BdX1k2Yzplmyq0+PCH8zJ6aSUGhrh0esHg9CH9EpVVZiV58SgT+9e4bqYLsxQvQBYFHy+CPhHp2cMoin3KFJcVEJZ9US2F+awvSCDHYUZ7CrM4Lv1aZjwUVU7GUWtb3eeczP+zepxx+JtkU2oWM2ISZNiJb5GP8btK8TWsJIdJS7eXOoMcS2+udSBs+607hWwGxCqjGgDUoQQG5ptYztwmjQppQ0g+DikjXGW4NzfCCEi+gHQlHuUSUl+AJN+GEKARUBi8NEqIFF4qK2+u905hicczh9veYG1E/9GdUY8UoAne0iTT15DI5p4/WVssp2H3fEBL8yoo2X1Z1XVM2XyvPBv7qt0zOdeIaUc1WwLuUUXQqwTQmwOs13QAYmGSilHAZcDuUKIQ9p7g6bco4wQArPpCPQIzMHXQgjKylSOO7mMkoK38fv3tjvPiMQjOfeuFQwsaUCoEnOhHaEpdo0YUFL3Ag2qi4FvNzDz1TrcPvgVuCx4vD9FyDQnWm4ZKeVZUsqjwmzvAHYhRAZA8LF1A9vAHCXBxz3AJ8Cx7Z1XU+4xYEDCdZhadB+elltPYbBsqqPu6e4RTEMjDHbHGoa8Xcfh95eRowaUwkHAYqugYf5D/SdCpiVds6C6Argq+PwqoNWvqBBioBDCHHyeApwMbG1vYk25xwCr+XhMuoym13a7wutLnKgSXl/qpKBgBX6/FvWi0TPwShfDp1aid4VqKr1LYnnkhTbe1ffpogXVKcDZQoidwNnB1wghRgkhGn1hRwAbhBAbgY+BKVLKrlPusYzX7I0kJt1GsM8N03LrQ6IPpk2vokGz3jV6CGZ9JpYSf9hjuqLyLpamB9EFlruUslJKeaaUckTwsSq4f4OU8vrg86+klL+VUv4u+PhiJHNH03KPWbxmb8QSdwU6w8GUlvp5fYmzKdPP64UlS53szl+JKjvWyUdDIxbkJF+LJ9MY9lhfK4oWMVIrP9CcmMVr9kaEEAxMeY9puY6wiU3P5JZSVHYRUvrCTxBD1lfkc+GHczjyrcc5eeU0XtzxFapWnKzfkh5/AZUP/g3FGrpQ1FYjj/6A1okplKjGawohxjbGjZaX945bQ7e/kmrPL/jVQHapXj+ANetkq/ocPi98uMaN17+DBtf7XSrjpuoS/vPlqwx/9wPWjJ3K5+ffxV9POZdVT2llDforQgiybnwb//O5+HNSmxVFC9/Io98gZWRbD8XQkcFCiHVAuFS1BzowzVApZYkQYjjwkRBik5Ryd8tBwVjROQCjRo3quVcQ8Ksudj9/CdlPrGOAzYszw0TpI2PI+s9ciorslJb9HYd/W8h7yuwKZ5y0l/dWr+ToIzoS7to5Zv3yKWd9vIGJz7+L1RO4a8gsr2HgI9PwZB6OecxV7cyg0VcxX3krXHlrd4vRY+jJVnkkdMhy7654zZ7O3uf/zSF3rSa+xIuQEF/iJf32BVTOvxedLoGk5PEIEVpOYFZeA0WFCrnTfu5SWXfUlnHHKx82KfZGrB4fugce7FJZNDR6LF1UOCyWRNMtE7N4zZ6MX3WS8cRqDK7QlRWDSyX+kVkAxFtORyf2dZ5vXpjp1Ve+Y/3Pf2pVEjhWHJqUSkZlbdhjhqLiLpEh2qhS8mXpryzavp7PbXu09YM2kFJS0rCKr0qu4PPiS9hVM7fJhajRGm1BdR8xi9fsyXjVeuJsYdowAZaSwD+OEEayUpdj0OcgRByz8hzNQiMluVO/p8B+Ng2uL2Iu73+P+BOlfahdXJ3XzfmrXmTFEw9w1il/4eSsQyhPS6Fh0YLuFq3Hsd52A74bL+eEoa9wSvYbDE8Zi/3qkSiqp7tF65Foyj1ILOM1ezJWfSquTEvYY96spKbnZuNhHJT+DcL3LG8udYQUZnpjmZPyMoWSyitjLu/vBmXTMOFh3GZTyP7e2i7uiR/Wcfj763hkznKyKmrQSUgrr8J0w01aY5Nm/Fo9m8x7XmfoKzXolEA0iE6BzMX5OG/o14Ft4ZH0+gVVLUO1kwihwzXhNvzW0Evpt+pQH5/YYqxgyqQXwrQug9kzGkC6cfu2x1pkfnPTHVhenI8cOhSCjUJ6a7u49/J/4Y4lHxDnDV1DMHk8WmOTIKrqoag2l8zX62lRFQMBJCz4oDvE6vFooZAaDL5uCs5ZE3FnJQYrOCbjfz4P61WtIw/eX/lN+JrvawIJTT5/fleIDKNHB9rEtWgU0ttQpEpmRU34g1pjEwCqXJ8hkQiljQFKD9ZQ3UkvX1DtUCikRtskXXM/XBOwFM37GVdcXMrOokOR0oloZkZJCSp6zMbDYytoO+ypt5O3fRU/VeWTZLRy+cEn869hJ6IT3WMHuBUfc7Z9yZv5P6NKlfNyjuLmI04lwRi4ymdkHYotZQBZYRR8b1xDiAUlJflcdlY+hbo2fMR6fZid/ZvGJKbejKbcu4Hs1LcoLPu/EHedRBBvPRdTJ1uZ2Vy7+KF6NS5/HYclncjIpFPQ68Knlrek2FnFNV8/z5/W/cDriz4hrbyOstRkVt15HefeM61TcrXF58V7mfr95+ytq+bQAYO5+w+nckJG4BpIKbnms1cY+s77vPLKGjIqaykdPIDZ113I/ybNw6DT8fAf/sJzV5zPfbNfx9rMNaNarei6aA3Bq9Syp24Z5c7viDdmc0jy5SSbD+2Sc0fCzGmfYyv0sepQA3/b6Q9xzUhAjO1Ib4l+gmxqxNFr0dwy3YDV/FuGpX+N2XQSqrCASGFQ0r1kD57ZqXl/rFrN+mcv45RR93DxQQ8wdOS5fJF3AYoaWYmDl/Z8xmnrfuT+Ge+TUVaHTkJ6WS1nPPwsjhhEn6zJ38nbjz3ArGtu5ccxt5F31S0se3Q8nxfvBWBDRQEHrVjFI8+9TVZFLToJmRU1jMt9mS9zJ7C5poAUSxz3Pf0iG6dMoCZ9CFII1KFD0c3tmuxKt7+CtYWXUL9wCr8/biHHpj+CcfiR1Mx/OObnjgSbzcbiRUuREi4uVNhzcTyqPuhR0IO88UaYPbu7xeyZ9HK3jKbcuwmzcRjD0pZzePYefpP9M6nJtyLEgd9IeRQnhfMe4pxHfiTZ5kJISLa5OOn+NRTNeyiiOTbXFHLToo+xekIrBFo9PowPRjZHR/hm6hQmLlxGdlUNOiC7qoaJC5fx5dOBVoI/V5dwCDXRgQAAIABJREFUy8trWi2WWj0+Tr57IiMHDaMyYzCF8/I44Y7xDLDZEaqKLj+/y9YQtlXPZchbuzn2/j3El/gQEuJKvCTc8gTylZe7RIb9MXHiRNRgayWpGngw8WC2Fl9Hef1b4POhe+65bpaw56ItqGr0CAqdWzktdysmd+iqmdGtkPLY82Hf4/A3UOIqwhuMcz44YQhp5XVhxxqLS/jA9iMf23/GpYSP6+8IqpRc++qbrRR3nNfHmJeXAZAVl0xGZfjFUoMqA2GPZbUMvf1+ahd2TRs4KSUN3l+odn2BX6nD5vyMkVOLMLhD/8sNLhV5f1uFUWMpn0q140122S/ii41nsWDBPLzB4kZer493luwmRT7OkIR/dMqY6PNIQJWRbT0UTbn3QKSU7K1fxeqCK1jx6zl8U/oQLv/+i6eZdVaSSsNnG8aVhGak+lQfn+Zeg2doOhnxOTRkD2bj7DsZc/CplKUmh52jNsHMMcf8mdMyfkdd5hB2v9A5H7xOCDKrwivujOD+MzJ+Q1lK2LYAIVg8PvQPdKS80YHh8dv4oeRvbLRdyi9l4/i26EQsOIizhXd7icKSmMvUkoLKOyiqGo/Ds54ZU79p5ZJTFIWJEye28e7IUaSK7MEx3lFBc8toRJufK2dhnzeO03/3GucP/4DjMx5HNyQDx6K2FWpW3OHUZ8SHPaZkZ4S8/vbZmzhx/GIG2RwICYNsDo64Mw/9kheCCU6hC7BevSDO5SOtrLbJWs66bTzuxYvoDI6McDXowJURkNekN2CYMqVVwlU44m2xrxy6xT4Wp28PqnShyHpU6cEoy3Fl9Ixa6C7vNmpd76PKwI/8p+tcrcJuvV5vp/qh5jvsLHr8KsrTByD1OmozU3Ev7pvZwJpbRiOqeJQaXItzGXXPbiw1aiAkCzBXK1j+czclz5/LT7ZL+bVqKl6loul9OqFHPvE4PktoWJtiNWGYvK/rk1f1MvLJ11u5b0xuhZRHczn0xv9hfnEB6tAcpBDUZabijLdg8oeOt3h8yPvHd+qzJjw9FZ8lNHDUZ7EQ99Q+eVOuHYvlxfkoQXn8upZpOAE8WeF/KKKFw7sbp283EHodJD6K7j2kVRKbjLPS8Oh/qfXsjrmFK6WkqnIcVeVnMVg4GKRTMKKy5ttMfsrP5qf8bAorH0RK2al+qDXeBpZNuYF/Pf4q6WX16CQk2yoQY29A9sFsYKHKiLaeiqbcexg1nl38dmoh+jBdz/Q+yaDH11Dv+YHiuvl8X3wObv++W//kq29HP28BvpyMYNRIDvq580MWF92Ki4GljrDnTi4N+NvF6NHo8gsQqsqcdXNIqneFHW8pLm3zc/hUheX533HVVy9w7ddzeLfoBxQZGmQtRo/GOO9F5NChTTXEjfPmIVouho4ejT4oz7uTxrW6s/BYTJimPNWmLJ3Fq1Rie/58Rp2yk1OG7+aPp+ST+nY9FWV+/n1aPvl/Gob6wiz8OWmBH6CcNPZcOBDxwEMkWQ/FlROPc1FuzOQrs5+F2/0GZXYfJ59cRkWZQrJOYiRwvQUmjPq0Tp/nvZJvGDP3YywtFtzNbh/+8fd2ev4ehVYVUiPaxBlS2yxEBmAO9rqUePGr9eRXTw85rhs9BmNBSTBqpKBV1EiCIZGa9ISwczdktC4odvqQoyhvww+vZmeH3y9Vxq1fxKbZTzL5H/cw7+Qb+OMfzmDJpDC1woOZskJVAxmz7US5/OOeXHZOm0Bl+iCkAGdWOvq589CNvmK/7+sMpS/8k4Pv24al2I+QYCn2M+L+cvb8z46t0M9LMx2YxtyIoaAUp6eI7+9IZtgbpcSXeALRM8UuTDfdifrK4qjL5vP+iqL8AkBubgMFhQp5eQ0AJOqCmkfoGRR/SafPtafBRmpZ+AV3Q1HXry/EkkASk4xo66loyr2HkWgahivT2uZxT6ahyWKsLPdQ7fq8Q/PrhI7qR+/C28J947Xo8T/eeqHtD4MO4fPbR7eylv1WM/rJk8Oe49uK3aS/uZL78laQWb4vXv7CiXMomte5WH4hBL/973gG2yoRqiSuyIbhijGdmnN/KKqbIZM+R+8K/SfWuySXfOlGSnjj1Q2UlgbuYvbUreCoqXsxuFuXgFbH3x11+VyugDvEbldYEiwjvWSpk/JyBR2g1w3i4NQXMRo677Y6LDGb8iFJYY/5szM7PX+PQ41w66Foyr0Hopv0NEqYNTrVCHvvGsSiZ6uxFfpZNKMagz68Vb0/ho99hMqZk6nLHIAU0JA5ENdzuQy85pZWY4UQXHzfTIryJlObkYIUAl9OFoa5L7ZpZa+v3MPYBevCxssPeOTxDsvbnUj8TXdLLckJPiqK2hSB4vKXtXnnpS8K27+mU5SXJ3LSSWVMnlzflPGsqgErXggDR2b9QKLl1Kic62+Zx/Py2DNwm0NDKL0WI8bJT0blHD2JrrDchRCDhBBrhRA7g49hw8OEEEOFEGuEEL8IIbYKIQ5qb25NufdALFf+F/niXPwDrU1uPd9AEzueyuCXk6ysWhb4R161vB6j8+IDOkfGdXeTVFyNUCUJxVUkX91asTcihODQG+4kuaQcoaoYC4r26z5JMSeSXhH+9j3eFn0FF0sMugS8bdxJFQQfvV4vCxYsoLS0lPS4E3BmhK8uJHM6b91KKalteIXisguwlV/B5CfXUVCo8MabrqZevV5vwHqvr78AIaJXNybRGMfl4+ex4pGrsacloQqoy0xFzJnXawvPtUnX+dzvAz6UUo4APgy+DsdLwNNSyiOA42ij011zNOXeQzGMuR5DlXOfhVBRgfdff+alZ+uQwRV6VdXxwvSfulnS1pyTeXSb8fIyJyfs/p6MfOJRFGtolI4DaF5QuDF+PDvhDHbfOwq/JfRfS7Ea0U3qnHWrqn4KSo+nouYuPN7v2FuwhpcXvxcoOqe2HCuY8Wz0fQYZ1sFcOn4uaaW16FRJUnEZxjGx70PQ9UQWKROFaJkLgMaY4kVAq+L6QoiRgEFKuRZAStkgpWy3hZam3HsJBl0iqUxl9XInvmBeis+rsHDhwiZ/b09hkDkB52OPtvLTq1YrukmTukmqA8dy1T3IF57Dnx1YxC3U6fgP8FqzMY3x4zphYOQt67Dn3YArKx4pwJ8zBN3cBZ2ybv1KDb/az8GvFDYV/pqV19BmgqTXKzsVz65BR5p1pAghNjTbOlKJLU1KaQucTtqAIWHG/AaoEUK8KYT4UQjxtIjglkzLP+5FBOqEhP43N1qMeXn34/Z8hdF4FGbTEd0k4T6G33A7akIK3vH3YSwqgZycgGLvhbfvLn81W/9qxHb65SQZszhq4KW8ah7Oq22MN+gsZI2dDWMDBbk6+0+mSjdb7RdgVXbQGOZfZldYvjQ0SclqtbJnzx7S02Mb898vkB1qoVchpRzV1kEhxDog3B8l0rRqA3AqcCwBb+AS4Gpgv53sNMu9F7FixYqmOiGNeL1e3nzzRYpKR1FRfSu2sjMoLPk9itpGA4suRDf6CkwFRRGHOfZEHL5y3si/kvpF0zjthLmcmjke0/AjqZw/octkqHK8h08JzcCdGcZqj1ZpAY0gUWqzJ6U8S0p5VJjtHcAuhMgACD6G86UXAT9KKfdIKf3A28Dv2zuvptx7EUVFRU1Zho1bWcV/+Xr9vgV2PaBXSykrPQ6/b0/3CdtH+L5yPllv7+LkB7eRGIxbTyhxk3zLxC7Lyqz3bECVTrzomhbw1q31RL20gEYLumZBdQVwVfD5VUC4P+B6YKAQIjX4+gxga3sTa8q9l+Nw7fsuWITAKnRs3+Jj6LCdfPnJCTjrnulG6boWt7+MzRWP80nhX/mqZDSljrUoqofi+rfZXP4we2rm4lEqOzRnkeMbRj3zK8ZWcetKzKo+Kkol9fWzqa6+A4fjVcz6LARmXNKAQsBY/HL9EHYVpLOrMJ3quuc6XVpAozVCVSPaOskU4GwhxE7g7OBrhBCjhBDzAKSUCnAX8KEQYhOBHKu57U2s+dx7PYEYbAMCAwIhBDfdWoPfDzeOq+aLj57BHD8GvT61nXl6Nx6lgi+KLyHlrb0c93QpVpsPd+Zytt41FPBz6NNFWGx+3Jm34HziMeKuiixd3qRPIMHmCXtMFBZH8RME8Hq+prryShTpBzy4Xe+iE8nohR6/FNRKEyb8mAAhrBw05D0spu5tzdgnkXRJgpKUshI4M8z+DcD1zV6vBY7uyNya5d7L0esCStsgAvHomzZ72b4joPC3bfezeasXd8M8pHQRMAD6Jr/WLib1rXyOur+IuGDTDGuxl5H37GbkPXuxlvib9plvegAidKkcNeBSHBmWsMeiWfVRVT24qm7AW3UZ8XhIEgpmdEjpRFXLyY47EYvhUARmfMSB6WSGp3+uKfYYIYgsgUkrP6ARMwYPDC0DfOO46pDXN9xSjcuxkArboVTYhlFTfh6qEvvyuF1NhetrRjxtw9CyTIBPom9Rbl0foUtFSonFcBS/3HsePkvrqo9EoUerlG5c1bfiKP0NfvcqSkt9HH2SjbJyFbPQYUQAfvzeb/lt5jp+l/Ulx2Rv4Ii0pZgMGe3Or9EJorSg2l1oyr2XE2c9m7SU5ahiID9v8jRZ7Y1s3+5n89aq4CuJz/cj1fYTUZSq1pP1YqyGDKxtNM0ISzsulSJnAa9P+RtJI45m1O3L8ZiNeAcmIIWAYcMQczrfo1XxbqbedjQ+19tIJBKYkltLfoGfKdNrEUJgDoYzCwI17Y36VAy6jpec0DgANOWu0d1YLSeTnr6Jm28LX8r3xlv2WfN2u8Kok/ayZ9NvqSs5Aq9zZVeJGVOGJ1+NO7P9ph6N7M+l4lN9fDz9Oi56bC2DShsCETK1HqTLRf2CWbB3b6cVu9/9GY6K8wA3pXaF351UwqYtXl5Z4kCVsHiJA3uZEvwHNRMX/+9OnU+jgzT63LXCYRrdjU6nY8fO8At/O3cGfO0CmJ7bQEGBwpO5tYADd81NeB2vd52gMWKg5VhcE8ahtGiaoRp1qC2KsLXnUtlSu4lzZ36DuUVDE7NbwfDAw52S0+X5BlvFWBxVY2jUDE/l1lJQoHD9uMqm2HVVlUyeXosfgcl8HImJt3XqvBodp4uiZWKGptz7EIqihMTA11b+l7LiTEoLAwWrKu2SV4OW4StLnNjLAsrLXRv7/qOxRkoVx0UJFE5JwZtlQArwZCTyvwGDsT/9AP6clKaGIO25VBr89Qy0N4Q9Zi2pCLs/EqrqZlJcMRqfeyUy2Lik1K40WevbtvtDin+9vMRBrXsCKSlLECJ8MTKNWBGhS0Zzy2h0B/FJ99L8T/xUbl2IZRiw3gF8qEoDfqWMeuebNLhWoaqxi6zxqS6KnT9R4Y5eCzp73WwqGl6j6h9mNn+VwY97cxhzpo4ZlRU8vqMaQ0F5xJmyv0k8nKq08P1ovR1s5yelD1W68SuVVNVNQ0oXzUuQPZVb22Z9GFU18NS09R06n0aUkGjKXaPnojfkkDz4NQTx2O0Kry5xhFiGza33X3Y8yvDhmWzadhO2yuvYXTKM2oboZ2Buqn6Hz6YfT9KIkxgcdyjO7ERcL83u9Lz2+kC4ZyPldoUVy2qRqmwqxxspQyxpbLvvCjyW0DQQn8WIMcJ2fg7PVraVXsKPBYexdsOhDD8km/LygCLwIBHss9q9bTTe8np9B5Rx6vA7+bLiGz4r/4paX/jSyxoRoPncNXoyJvMppGTuYObzp7WyEJusd5HOE5Ofp6hQYVZeoztCpazmHtyeTVGTxebcRNn8h/jTg1tILHEhJMSXODDeeGunU/lb1tKZN2OfRXwgNVdOuvU5SvIebmpo4s4egpg7D93o/Xd9UqWHHWU3srn0PGo93+NDZc6MWooK3MycHghBlUC9VHlyemur3WQycfPNNx9wxumGqh95efIFHPbbszk17WR8Q7PY8txDHZpDI4AW567RK3hv5ZetLESvF97/wMOu8gG8udQRaBm31IndrgTvNiWVddHrsPNz9Rv88ZkdYVP51fH3dGpuq/HIpufldoV3lzmaaq80b6YRKUIIDh77UFNDE0uhHcMV7dctL6yeSo3rYxqLjlSUKby3LHhtlzkpD94puZCsXOsK8zc58Pow9b56vp91N1dP+piUYJRPSmkDh/5vCjULO3931O/Q3DIavYHmRcd87vW46vLwur6gxOZj+jObm/niYUaegwapx6MKvP78kHlcvp2U1S+g0vEmihp+0bEtXEoNiW2k8uuKbAf0uRpJS7o2+EyGWO2NKIqfe+4/i+22U9lbfh1O78ZOnU9Kid21jZ11H1HtLWjaX9bwOpJ9Gnv+jJpmzVVgVp4LIRLQiUS+WD+M6vpFrYrBHWh9mA3VP3Hx7G/DRPn4MT746AHN2W+REhQ1sq2Hoin3fojBPApL4q0YLSdjs9lYvqS8ycr1eWHFMicVZSpedEhdINJGSklB1f1sKz2X4upJFFY9wJbiP1BRdRfV1fficq1uigBpi2EJJ9LQRio/Odmd+kwez/eYAB2Sz9a5wlRM9PHBqm14/b9S717DnrJLaHB3rLl4I26ljm/yziTu0GM5dMCZGA4+jJ9mXogi/ajNGuRUlPl5b5mjWXMVeHOpG70/l/RBszk4cyMDEqLXxcin+hncRpRPXCeifPotmuWu0ZsJNABpERuuBqxfEDiClnutay1VjjeR0o3Eg1HWM0jU43G+isu5mOqqa7GX/gFFqUHK8JmiRw44n413/aFVKr9qNSEmTe7U5/CrdnRCwSQkH3+XzpaCTP51RRxCwOVXZfBzQRbrvmuMdJFI6aK4+sGI5q72VvJO8WvM2PE4bxQuZuOs0Ywa/ymJJW6EhMQSN0fevYL8OeNIMO8rs93cam/6rKpg6lMribeeiV6X2KnP3JJjBhxFZVpC2GP+bK1UQYfRlLtGbyZcAxCfFz5Z6wbAHyyRW+lY0swqlSTrVHQCRDCuz25XOP6ETWz8+TC+/zGHgw6KY+fuPFyerwj0FwCTLo7jbltDcd7NOLISgi3oMtDNnd/pjM8Ey5kIEdf0usLu5+1lzoCve0kpFWWtQzu9/l9RZetQFZe/li01q9hcs5I99ZuZtPVeahfO5orTJnPRsCsZdcfKVusGRrfKkMde4qBBE9CJeMDI52tdTVZ70zljWHN9iCWVXx+4oXWUj9WEcXJkUT4aQSSgysi2HopW8ref0+iL31xyIj6lpNVxa7DqYHNr3NhqFOTmNlBYqJCXW48qoaDAxYTHxjNxUiZCmIhPuBuPVLAYshn6n2noxj4LRO8LmBx3IVX1c/H68zELF3Nn1DcZVaoqeSGvjgeeGBjyHp2wIFp8mu21H7N37u2cOH0niTYXNelxnHdyJie892uTL1vfhrUWb3MiTCM5OnM1pXXz+eSnLcSbjiQ96VrMhs65nSLlj7dMpSwuh7iHHye+pAJ/diaGyU/1yi5Y3YuEdtyMPR0RrSSSWDJq1Ci5YcOG7hajT1PteJ+9VXeExIoLYeHQ1MUkWo6nyvE2BVX3oUonRiQDdUpTP0+7XeHEk8rweMBsDhg9Xg9YLPDJl6mkDtGjSoFdSUIIMwrxCNPZ1PqKGWw+jCMHXU6iMavTn0FVHdgrr6eo8CNODcrTiMUC73+RTsqQxkJcZgYnXkvGgH3ZuU5/NZ/nns4ZD20OscwlhCQetYUrawDWour2B2rEFCHE9/vraRoJyaY0eVL6ZRGNXV2Y1+nzxQLNctcAYGD839Dr4impnYbHn4/VeBiZA+4hwRz4zg6MO58qxzs0eL7GJx0h3cVycxuarGSvb58iVFR4Nq+Bx55IBiRm4aZGAdNbDo59ZgrxNi+ODDM/3bmQI25+k8GWwyKSVVGrcbjWoEovJl0SUilBKjYU30YU74/MyK1v5QpVFDj/dDvvfZLG4CF6rPhIEqGLu7vrv+TE6a1DNSNR7H6LvtPrBuFwKy6+rPiULXU/M8iUwp+HnE2WNSfq59EIQy8wfPdH1JS7EOKfwKPAEcBxwU4i4cadA+QRaPc5T0o5JVoyaHSOJOtpJFlPC3tMCD2HpM6n3vMlda5P0CnlSM8yyuwKS5Y6m+K1pbqvraTPC28sdTHutgQGp+rRIYl728txD+ZjCCrQhBIPJzywjU2Gmxh860ftyljvXI29+maQOiQuQJKIoLJc5bwLy1n+1iDWrfW0ih/3+cDnkyycUc/TkwagEypu5/OYrGdgNB0LgIqfRJs74usl9TpQVXxZKYhJT2IZc237b+oATr+DSb88xIgVPzB65gYG2R1Up8Xz64R7OHhs5wqYaURAL1fu0VxQ3QxcBHzW1gAhhB6YBfwVGAlcJoQYGUUZNGKIEIIkyylkD3yQzJQ8UlPXMGOGab//A43WuwDcqp6jpxU3KfZGDG6VEU9+1e75FbUGe/XNwYgdJwTT+A0CpuXWU1CgMCO3ge82DKGgKL1pW/99KuZg3a0lSx2UlwcXV6Ubj3N50/wHJ5xIfRuhmi0/ooyLQyx6CaFKTIXlGKOs2AHW2ldx6IoN/PvxLxhc6kBIGFTqIOu2iaivLI76+TSaoxUOa0JK+YuUcns7w44Ddkkp90gpvcDrwAXRkkGjazGZjmLtOtlmbRQIWO/r1nhwSAOK0BFvCz84vo3kpuY4XGsJ3PDtw0igRstrwcqKS5e6KGsRGZPXzG2kqoEfggAS2LdQnGRMo+Lh61qFaipWE+6x1+DNyWjWrGNOzBcpf6rZwPkzf2iVlGRy+1HHj4/pufs9ksCXJZKth9LVoZBZQGGz10XBfa0QQowVQmwQQmwoL+97beH6Cs0zXxs3VfVT73iTkrLLKSkbwwfrj6NBDgDAlREu1ga8WYPaPZfER2sbOqCsm2fYzsp1YECgA2rskuVLXSEF014NNsJAxGG2/j1kruE3zMT13FTc2YOCoZqZ6OfOx/rCfEwFJYH63VFo1hEJcfp4BtnDN2DRF7WObNKIMv3JchdCrBNCbA6zRWp9h1ubCnt1pJRzpJSjpJSjUlNTOyKmRjcjhJ6EuAvJSH2FjNSX+G3WZ/wm5Wmyk27APeF6FGvoUo9iNWKcktvuvPGWM6FFk+9iu8LrzXz+Xi+8ttRJVZlKgjCQl9cQpmAaTMttwGw5D4Pp5FbnSbr6DiyFlQhVYigo7rYwwjPS/kJ1evjSw9Fszq0Rjn5WfkBKeZaU8qgwW6RZGUVA86X+bEAzQfo4OmEkJf4cDh50N4Oun41+7kLUodlIIVCHZqOfu6DdaosABn0aKckPIrDQ6J6Z2YbynprbgAsL769xhy2YtnqtlfgB0xAikliY7uH3A45j1/ir8VhCXVHRas6tsR9koAFMJFtnEEIMEkKsFULsDD4ODDPmz0KIn5ptbiHEP9qbu6vdMuuBEUKIg4UQJuDfwIoulkGjuxk9Gl1+IUJV0eUXdsgyHpB4HUPTPmBg4i0kJ/yHT9YZwyrvtR8mMzj1HQqLSlu5jaSUFBeX9WjFDoEF7OPGzUR54Tm82ekRd5LSiBJdk6F6H/ChlHIE8GHwdQhSyo+llMdIKY8BzgCcwJr2Jo5mKOSFwLNAKrBSCPGTlPL/hBCZBEIe/yal9AshbgE+IGB6zZdSbomWDBr9A5NxBCnJ9wJQUjKhm6WJPXFX/geu/E93i9H/6Bp/+gXA6cHni4BPgHv3M/4SYJWUzSrUtUHUlLuU8i3grTD7S4C/NXv9PvB+tM6roaGhEXWk7EgkTIoQonlezxwp5ZwI35smpbQFTiltQogh7Yz/N/BMJBNrGaoaGhoa4Yjccq/YX/kBIcQ6IFzz3Q51phdCZAC/JeD5aBdNuWtoaGi0QiKV6DSJl1Ke1dYxIYRdCJERtNozgLL9THUp8JZsq6Z2C7SSvxoaGhot6bqSvyuAq4LPrwL2F3l4GfBapBNryl1DQ0MjHFKNbOscU4CzhRA7gbODrxFCjBJCzGscJIQ4iEAY+aeRTqy5ZTQ0NDRaIKFVF62YnEfKSuDMMPs3ANc3e72XNrL520JT7hoaGhotkb2/WYem3DU0NDTCEK0F1e6iV3RiEkKUA/ndLUcYUoDe3FZek7970eSPDcOklJ0qSCWEWE3g80VChZTynM6cLxb0CuXeUxFCbOiJ7bUiRZO/e9Hk14glWrSMhoaGRh9EU+4aGhoafRBNuXeOSOtH9FQ0+bsXTX6NmKH53DU0NDT6IJrlrqGhodEH0ZS7hoaGRh9EU+4dQAjxTyHEFiGEKoTYX4nPc4QQ24UQu4QQrTqrdBeRtPQKjlOatfTq9k5Z7V1PIYRZCLEkePzbYB2OHkME8l8thChvds2vDzdPdyCEmC+EKBNCbG7juBBCzAh+tp+FEL/vahk1wqMp946xGbgI+KytAUIIPTAL+CswErhMCDGya8Rrl3ZbegVxNbb1klL+vevEa02E1/M6oFpKeSgwHXiya6Vsmw58H5Y0u+bzwhzvLhYC+0vQ+SswIriNBZ7rApk0IkBT7h1ASvmLlHJ7O8OOA3ZJKfdIKb3A6wRaafUELiDQyovgY7tNdnsAkVzP5p9rOXCm6DkNUnvy96FdpJSfAVX7GXIB8JIM8A0wIFiXXKOb0ZR79MkCCpu9LqKD1dxiSEhLL6Ctll4WIcQGIcQ3kXRZjzGRXM+mMVJKP1ALDO4S6don0u/DxUG3xnIhRE7XiBYVevL3vV+jFQ5rwf5aYkkp91dIv2mKMPu6LN40Si29hkopS4QQw4GPhBCbpJS7oyNhh4nkenbrNW+HSGR7F3hNSukRQtxI4C7kjJhLFh168rXv12jKvQX7a4kVIUUEiuo3kg2UdHLOiIlGS69gU3OklHuEEJ8AxwLdpdwjuZ6NY4qEEAYgmf27ErqSduUP1vRuZC49aM0gArr1+67RNppbJvqsB0YIIQ4WQpgIdCvv9oiTIO229BJCDBRCmIPPU4CTga1dJmFrIrmezT/XJcBHsudk57Urfwsf9d+BX7pQvs6yArgyGDVzAlDb6Prjz7KQAAAAyklEQVTT6GaklNoW4QZcSMBS8QB24IPg/kzg/Wbj/gbsIGDtPtDdcjeTazCBKJmdwcdBwf2jgHnB5ycBm4CNwcfreoDcra4n8Bjw9+BzC7AM2AV8Bwzvbpk7KP9kYEvwmn8MHN7dMjeT/TXABviC3/3rgBuBG4PHBYFooN3B78uo7pZZ2wKbVn5AQ0NDow+iuWU0NDQ0+iCactfQ0NDog2jKXUNDQ6MPoil3DQ0NjT6Iptw1NDQ0+iCactfQ0NDog2jKXUNDQ6MP8v+JBas6Ibl5HgAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -850,17 +860,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -902,7 +914,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -927,20 +939,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "' Compute the sublevel sets of the k-PDTM on X ' \n",
     "\n",
@@ -978,20 +979,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "' Compute the sublevel sets of the k-PLM on X ' \n",
     "\n",
@@ -1054,7 +1044,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.8.3"
   },
   "toc": {
    "base_numbering": 1,
diff --git a/Tuto-GUDHI-persistence-diagrams.ipynb b/Tuto-GUDHI-persistence-diagrams.ipynb
index 44a28ee..93c841a 100644
--- a/Tuto-GUDHI-persistence-diagrams.ipynb
+++ b/Tuto-GUDHI-persistence-diagrams.ipynb
@@ -240,376 +240,376 @@
     {
      "data": {
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       ]
      },
      "execution_count": 7,
@@ -642,7 +642,7 @@
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -963,7 +963,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -998,7 +998,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1033,7 +1033,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.10"
   },
   "toc": {
    "base_numbering": 1,
diff --git a/Tuto-GUDHI-representations.ipynb b/Tuto-GUDHI-representations.ipynb
index c27337f..12e6ab6 100644
--- a/Tuto-GUDHI-representations.ipynb
+++ b/Tuto-GUDHI-representations.ipynb
@@ -95,7 +95,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -150,7 +150,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa1d23aef98>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb72824ceb8>"
       ]
      },
      "execution_count": 6,
@@ -159,7 +159,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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dZZkEkSGiv3PSYujKtItttu3fv5+lS5fy8ssvs3TpUs455xwACSBZJumsISCfctJi6Omui222WZbFPffcw7Rp0yguLmbdunWpACKyT2oiQ0B6ThpIfV+/pbJHtRGpzYjeSHaxTf/b+frcCTn52/nzn//MokWLGD58OA8//DATJkyQmkeOSRAZArKRkz6SSeyEaN/FNtsqKyu54YYb+POf/8yNN97IWWedBUjqqi9IOmsIGFnmIxix2mzraU46H3rYCNFeLBbj7rvvZvr06ZSXl7N27dpUABF9Q4LIEJCNnHRPJrEToi+88sorzJgxg+eff55Vq1Zx5ZVX4vPltrFeHE7SWUNANnLS/dXDRoj2KioquP7663njjTe46aabOPPMMwFJXfUXCSJDxJHmpOfPGMXKlz8CnBpIMGIRDFt8fe6ELJVQiK5Fo1Huueceli9fzje/+U3WrFlDQUFBfxdryJMgIjLSlz1shGhvw4YNXHXVVYwdO5ZVq1Yxbtw4qXnkCQkiImNHWpuRLsKip/bt28e1117Lxo0buemmmzj99NMBSV3lE2lYF31CBjyKnohEIvzXf/0XM2fOZOzYsaxevToVQER+kZqI6BPZGvAoBr8//OEPXH311UyaNIlHHnmEMWPGSM0jj0kQEX2ivyfhE458Tinu3r2bJUuW8M4773DTTTcxd+5ctNYSQPKcBBHRJ3rSRTifb3T97Ujem3yddSAcDnPnnXfy85//nO985zv84Ac/wOPxSPAYIKRNRPSJTAc8SttJ5470vcnHWQfWr1/PySefzN///ncee+wxvv3tb+PxePqtPKLnpCYi+kSmXYSl7aRzR/re5DKl2NMa0s6dO7nmmmt47733uOWWW/jUpz4lqasBSoKI6DOZdBGWtpPOHel7k6tZB3qSJguFQixbtoz77ruPyy+/nB/96Ee43W4JHgOYpLNEXulsskiv22D5c++yZNVbLH/u3SGZ3jrSiTRzta5HJmkyrTXPPPMMU6dOZfPmzTz++ONcdtlluN3uLo4sBgIJIiKvdHSj298YproxPOTbSY40CCRTiiV+D9VNEUr8nqw0qnc3OedHH33E+eefzw033MAPfvAD7rjjDo455hipfQwSajD/IufMmaM3btzY38UY8nqaL2+/f10wgmmoNmmY5nCMEr+HpeeflLXzDgT5eE3Ln3v3sDRZcziGz4gTeftp7r//fhYuXMgll1yCyyUZ9IFg2rRpb2mt52Syr/xGRU71pltp+7aTJave6nFbQL52Zz1SuV7cqTfaT87ZHI7xzl83sHndvXxyzmyefPJJRowY0c+lFLkiQUTkVDZ6W/WmQXjVa7uoqGslFtf4vSbjywtTefp8uwn3Vq5qJc9u2sejr++hviVKWaGHr88dzwWzxna6f3rPu3fffZ83nvgp8eaD3PHj/2TOnDmSthrkpE1E5FQ2FrPqaVvAtooGNu+ux9Yan8cgatm8V9lIzLIHTS+vXI2neXbTPu578UNaIhbFPhctEYv7XvyQZzft6/J1E8rcNLz+O55bvpCLzzuL1U8+wezZsyWADAESREROZWNp3p42CCdrPwYKhcJjGrhMgx3VwUGziFauBg4++voevG4D01DUtcRoCllErDi/eXVXh/trrVm9ejVTpkzhgw8+4KmnnuLSSy+Vto8hRH7TIqeOdDGr9imby8+elNFYk4lHFbK9qhkAl6lAa4LReJvaSz42UmcqV+Np6luiGApqgzG0BsNQmEB1U5htFQ1t3p/333+fq666isrKSm6//XZmzZolNY8hSGoiIqeOpFtpb1M2I8t8eNwmJ44qxuM2CMXiKKWYOb4sdd6BPr1KNmp4HfF7XNS3xAAngKAhGte4TJWq5QSDQW688UbOPPNM5s6dyyOPPMLMmTMlgAxRR1wTUUpN0FrvzkJZxCDV2x5FvWmU31bRQF0wwuY99QS8LiaNCOB2GQTDFpedcewRHTuf5Gq54qNLvFQ2hEC3XfjJ5zGorGvliSee4Prrr2fu3LmsXr2a8vLyIzqfGPh6HESUUsXtNt0I/N/sFEeIQ3qasknv1jt9TAk7D7bw9t4GZk4oO6z2M9CnV8nVcsUFbhfDCl00heLYWmMaiuICk+D+PTz3yApe1s60JaeccorUPATQgyCilLoCWAFooAFQQGnisQSRfjKQ8/rd6WnX3ja1iwI35UUFqUGJ7d+TXM0j1ZeOZMxIZ383I8t8xOJx9ta04jYNdKyVt9f/io83vci113yPry64CNM0JYCIlJ60iUzSWhtaa1NrXa61Hqa1NoA7c1U40bVM8vrbKhqOeM6pbByjN3ratbcn3YlzNY/UQNDV3838GaMwDYOx5T4+3ryB52//JuWuEM8/+3u+/tWLMU2zv4sv8kxP0lkvdbL9v7JRENFz3eX1Oxu1Pe/ko3mvsjmj2kt/jvzuacqmJ7WLXKWDBoKu/m6Wnn8SZ42McN2Sa4iEmrnvv+/hU7Nn4iQchDhcT4KI7qQR/QrgruwVSWSqu7x+RzeLptYYD76yg/HlhVQ3h9le1cRr26u54uxJHY5K7u8G6J6kbDJpbB7M6b9MdfZ3s/vjg1xzzTU8+uijXH311Vx44YUYhoEEENGVTtNZSqkrlFIvJL+Am4C3lFIfpm3fCCzrs9KKNrrr5tlReqe6OUw4FmdPbQuxuKbI5zz/4Cs7OkxTZWPEeV/prjvxQO/Wmy3t/2601rzx4joeueViampqWLNmDV/60pcSAUSIrnVVE5kEbAA2dbGPApZmtUQiY9198u4ovdMcsrA1uEwDj+ncJHxuk2DE6rB2MdAaoLuqufR3rSpfpP/dNFfuYN0DP4Z4lAd+8d9MnzZNGs1Fj3QVRJ7QWm/u7gBKqdoslkf0QPKT96rXdvG3j5xfw5TRh3pgdxRkXKYiZmncpkrtZ8U1RQXuThugczEeoT8M9G692TJ1TCmXzj6K62+6hbf/8geu/PfF/OtXv4JpGhJARI91Wl/tLoAopWZksp/IvVA0zsljSzh1cjmmoVIpmo7SO1ecPQmf10UoGkdrTcyyicVthhd5umyAzvZCRv0hV6O8BxLbtvnNb37DRfNOZfIwFy+sf4bvfP1iTFNSV6J3ejJO5HKt9a/SNjUqpT4LHNtuu+hD3aVoOkvvPPjKDoIRi6ICNyPLCjANo9Purfm4hkVvTBlVxIOv7HBqXj4XI4oKMAw1IGtVvbFp0yYWLVqEZVnce++9TJkyRWoe4oj1pHdWm7uI1noXsEspdXl2iyR6ojcpmgtmjWXiiKJ+7aXU172ktlU0sGHrAcaV+6lpjtIcjhGKtnBFBhM6ZnLsXF/LkZyjrq6OW2+9lbVr13LNNdcwf/58lFISQERWdBlEEqPUZwNlwCyl1Cfa7TIR2AhITaSf9Lbhuz9rF7kee9LRDTe9xjZmWCHgLOH6XmUzF8zK32sBZ42P9BqUFbczOodt2/z617/m1ltv5bzzzmPt2rUUF7eftUiII9NlENFaPwg8qJR6ANgMPNlul53SJtK/BmLDdy57SXV2U28JW0w6OtBm32w0que6x9e2igYefGWHc2yfi1hcs6e2hfHlhV2eY+PGjSxatAiAX/ziF5x44olS8xA5kWk660ZgntZ6TS4LI3puII68zkYvqY5qGwA/fnorja0xiv1uxpcXUlboAZz1MJJtQEnZaFTPdY+v9VsqidtOb7qDTREilu1M0xKKEYrFD9u/traWW265hWeeeYYlS5Zw3nnnSepK5FRGQURr3QgcFkCUUl8B6rXWL2e7YCJz2UxNJW/OH1Q10RKxKPS4OH5UcVbz/Ec69qSj2sZPn38fbWuaQjECBWZqSdwpo0oo9bsp9LoIhp2eWdmsseV6HE1VfQiPy6CmOULc1hhKgYJQzObj+lCqF148HufBBx/khz/8IRdccAFr166lqKgoK2UQoiu9mQp+QtrDt3BqKRJE8khPG2HTA0d1U5jyQg81wQhKKVrCFgUeI6t5/vYpuMr6EHtqWwh4XXztvte6DVwdpZDer2wCoNjnJhqz8bicLqt7altwmQGOH1mcahvJZo0t1+nEkWU+PtzfRNzWKECjQYOhwFTOexH8eDuLFi3C4/HwwAMPcPzxx0vNQ/SZnnTxnQn8kUMT6SigBLgyB+USvdTTht70/ZvDzop2u2paKPS6KPK6iFk2tcEoE0cEspbnT0/B9SZwdZRCilo2SsGkEYFUQHGZ0NQaS93Uc9GZINfpxPkzRvHHbftxKiAKW2uUghKfi2hLI/9z18+554M3ue666/jCF74AIAFE9Kme1ESuBGZrrXcppb6SbB9JjBUReSL5Kd2Ka97e10BrJI7bVKx6bRc/uXRmp/sXFbgJRW18HpOG1hgRy6YIZ33yloiV9ZHdyRv68ufe5eiSAnZUB3G7TDym0W3g6iiFlKx5DAt4OXFUMfvqWmkKxSjxu3M+OLKnwaknNcWpY0qZOb6Mf+ysxYprfC4Tvxv2/O053n/hYc6dfwE3L1tHYWFhti5HiB7p0VTwibEh4HT5TZKPPXmkqj6E21S8X9WEyzTweQyils3m3fWp/Hn7/ZOf6v1epy3BbSpilg04U6IUJtI0I8t8WR8TkTx/aySOz+MEgu4CV0cppNJCD9p21gUpK/SklsTNt9H1vekSfNkZx1LdGGZ/Y5iWinf5x9p7KC4K8PCvH+LkKcf38RUI0VaP5jpQSl2U+DF9kOER9LIX2TayzMeO6mBqgkWFwkARKHCxfktlh/snpwIZX16IFXfaE5SC1qhFLG5THvAQDFtMGVWU9Vlwk+f3e01icefzSGvUIhSN85ftB9nfGDrs+B1NxXLteSdy3fwpeT89S3rNTylFUYG7099N0tQxpXzrk+XsW/8zNq76EVde/m88/dhvJYCIvNCTmsgm4Cml1Aat9R+VUi8qpZZx+NgR0Y/mzxjFC+9UojXEbWeNbK/b4OTRJd1+qi9NdIvdU9tCWakHDRR6XIwbHjhswB5kZ0xE8vw+t0FVfStx2ym332viMhTlAU+Hn9Q7SyHlW9Bor6ddgi3L4pe//CX/+Z//yYIFC3jozufw+/19UVQhMpJxEEmksuakPf68UmqmDDbMP25TEYk5Dc0op6E1HLMZO/zwvHn7huGxwwv57rzjOrwZ/+qVHVkfEzF1TCnzTj6aB1/Zgddt0hqNYyiwbc2osgLGDCukORwbNNO196RL8F/+8hcWL15MaWkpDz30EJMmTZJGc5F3etTFVylVDMwDGhJjQ+QvOs+s31LJ5KOL2FvTits0cJmKUGIRqu/OO67D16R/qk+2efzqlR2HtXnkakzEe5XNTBtbSlGBm9c/rMHnMbAsTWPo0LiOwTJdeyZdgquqqli6dCmvvPIKS5cu5ZxzzgGk15XITxm3iSR6YW0CLuVQO8iutHYSkQeq6kOMLvNz4qhiPG6DUCyO3+PMWNvdJ/nuVv6bP2MUwbBFczjmjJoOO91nO5v9tydlTq6emGwbSTauw8CZrn1bRQPLn3uXJaveYvlz73bYVtTV1PqxWIyf/exnTJ8+neLiYtatW5cKIELkq57URGZprSfDoW69WutGpZTq+mWiLyVrC8MCXoYFnNRTczhGid/T7WszmVY+F2MikmW24ppILE5tMIqhoKzQkwpU+TwXGPSs11VH7TmvvvoqixYt4qijjuLhhx9mwoQJUvMQA0JPgsiOTrbLX3oe6ekI6vQuuzurg5wwsu1UGe1TSbkYsDd/xih++vz7VNW3YiiFUppITFPdGGZkqY9Fnzs+79tDetvpoLKykuuvv57XXnuNpUuXctZZZwGSuhIDR0+6+H5SKTU+8bOG1BQon8xymcQR6MlKhO3TVy5TsbWigfqWaGqfvkglTR1TylFFXkzDoCkUwzQMRpR4KS/yUlHXmtNzZ6q7VFV6Si6pq7acWCzGXXfdxfTp0ykvL2fNmjWpACLEQNKTmsh/AW8ppTTQkJbFkhHreSbT2kL7T8+TRgTYWtHIRweamXPssD6dVr6mOUIoaqGUwkh8eVwGwYjV7z2zMklV9aTTwcsvv8zixYsZNWoUq1atYty4cVLzEANWT7r4NgKTlVILgGOBTVrrP+asZCLn2o9ZGBbwMnV0MR/sD1LdFAxKEYMAACAASURBVMHrNvB5zA57amXTtooGqpvCRCwbr8vAtjX1LVGKEgGuv3tmdZaqWvXaLoYFvFTVh/C6DQ42R4DO04gVFRVcd911/P3vf+fGG2/kzDPPBCR1JQa2Ho1YB9Bar9Za3ykBZOBLH62e5HGbnH7CUVx+9iRC0TimobI2Or0z67dUMq7cj8tQWLYzwSBAc9hieJGn33tmdZSqiiWmkkmmAk1DoW1N3NaHpRGj0SjLli1jxowZjBo1itWrV6cCiBADXbc1kUS7xzKcbr0TgQZgA3CH1vrtXBZO5FZ6I3zMstlRHSQYsZg5voxVr+3K6Yp96ZLdkq24zfaqZqy4swiTAkzDOOIuxEeqo1TVjurg4e9PGZT4PSw9/6TUfi+++CJXXXUVEyZM4He/+x1jx46VmocYVDJZY30FsBpYiRNASoFJwCtKqdu11nfnvJQi65K9sg42hfnnvjDhWByfx+S4owOYhmLjrjqmjymBtBtnrgb9JW/SE44qotjnSc3AW+zL/Qy8meiwx1vEct6fNOnvz969e1myZAmbNm3ipptu4owzzkBrLQFEDDqdBpHEWJCLtdadpby+q5R6Uil1jqxsOLAkG4rtxKy3tnY++Re4TSobwpT4vQS8LnYebKG8qCD1ulz11Eq/SedqBt5MZh/ubJ+OxsfMHF+GabQdIhWMWBwVMLn99tv52c9+xre+9S1uueUWvF6vBA8xaHVVE1mgtf58Vy/WWl+ilLofWdlwQEk2FCfX8AALUzlTxhf53OypbWHSiABv722gORzLyYp96XK9sFMmvau626d9j7fk/nCodrL176+yZe1/M3XKCTz66KOMGtW/aTgh+kJXQaQxw2Nkup/IE+3X8HCbBlbcJpZoi2iNxHG7DGZOKKPE70mtt66AHz+9NSfrrudiEGNSJgMBO9qnqTXGj5/eyjElvsNqL+mB7/0PdvD3J+8heGAXt95yM3PnzpWahxgyuuqdVZvhMTLdT+SJ9mt4FHpdxLXGVCq1KFUwbHHZGccyf8YoCr0uhge8NIdjtEQsqpvC7K0JZrW3VibzTvVWJgMB2+9T3xJld02QplCs095pk4YXEN60mmfu+A7/cuYs1q1ZzWmnnSYBRAwpXQWRTP8T5D8mT2R6I05OpOhzG9Q2h6kNRkA7Kwq2RuIcd0xRKo2T/IR+MBjB7TLxe1y4TYPaYLTbxZR6Uu5sL3aVrqOuzO3bd9rvs6e2BaUUxb6OF4967rnnmDp1Km+++SaPPfYY3/rWt/B4up+fTIjBpqt01lcTo9K7+k8uBb4K3JXNQome6+kEgOlreGgNCo3XbXLF2ZO4YNbY1L69Wb62p3Kx2FW6TOYTa79PU2sMl6EYO+zQAlABr4v3t3/IBStuZPv27dxyyy2ceuqpUvMQQ1pXQWQ2zlrq3QWRY7NaItErPb0Rp6/hkdQcjvFeZTMXpC14nOx+m1x/3WOqw9ZdP1LtR84nU0mNrTGAHrW9dNbDKtl+kWzfKfQcqlV01AOrxO+mPOBJzYQci4R58YmVbH7pSRZ9dyG33XYbbrdbAogY8roKIsu11jd1dwCl1E+yWB7RS5neiJM32Ze37afE72bC8ABlhU4apqOaRfIT+lEBLx8eaKYuFneWr/UYNLRGGV3qZ/lz72Z0o+/sBp8+mK++Jcp7lU5fjVK/p8saVUfH76w2BlAXjLCvrhUF7G9oZfv+Jp7f8jFfPXUc3513wmGLc618+SOaQlH2vf0Xnv3VMiafOJWn1zzFMccck/kvRohBrqsgsiLDY2S6n8ihkWU+9tW0cDAYobE1RihqUeAx29yI5518NBu2HiBQ4KLU76E1avFeZSNTRpVQVujpsGaR/IS+6rVdxOI2pqFwGYpwTOMxbcoK3eyraeHmJ7YQ8LpS67IPTwS0SMxmZJmPKaOKUuduf4NPTyXtrgk6J9Ywrtzfo9RWV3NchaJxKhIBpKk1Bgo8LoO41jz6+l5GD/O3SeNNHVPKuccaLFnyPer27+PHt/0/zjpjLtIEKERbnQaRxJrq3cp0P5E72yoa2FXdzDv7GnCbBqCxNbSELSak3YgffX0PE0cEKCpwM67cz/uVTaCcG7fLLOp0HMjUMaUMC3g5dfJwigrcbNlbT9SyURp2VLdg2TaxuE1lQ4hin5uGlih7apwxKFNHF9PYGuXBV3ZQXujhQFOY1kgcv9fkqIA3NYlhS9jp9VXbHGV4kZdx5f5UKinTtpf2tbHka//2US3jyv3UBiOEYzYKMBTEbY3HZRCzbB59fU8qiLS2tnLHHXfwwAMPsHDhQi655BJcLhcSQIQ4XI/WWBf5J5l2qW6KUOpzE47ZtEZtCjwGhW5Xm3XK61uiqW6swwJeThxVzN7aVhpao5T4PV0O8Eu/Qaca2TUcaAo7QSBioTX4PS72h0LOKoVxzZa9DcyaMIxwzGZXTQvDAl58Hmdg44cHmonFbU6dPJxJRwcIRixaIhZHFR1alRE6Hymfnh7zug321LSwvaqJYr+b8eWFqdpVLG6zuyaIkTbCPG6DVhqtnRpJfUsUrTXr1q1jyZIlzJo1iyeffJIRI0Zk7XclxGAkQWSAS6ZwYnFNwOemyKeobgqDgsICV5t1ypM31WTNZFjAi9tlHDZpYEfS2y2SjexKg0LhNhWxuPOpPmLFicRslAKv6QSL9yobiVkWtg0e0+nh5TEVdTFnluD09NO4cj97also9ru7HCmf3v7hNhXv7K0nZtmYpkFrxOLdjxuYMDyAYSi8LkVcQ3GBi9ZIPFWfsDXY2im3GdzPueeey969e7ntttuYM2eONJoLkYEeTwUv8ktykFxy4CBAsc+FZdmEYnH8HlfaOuXjCYYtmsMxtNap7VNGFXU7viQ5tqQ5HGPcMD/hqEUoFqfY7yIUjWMo8LoMmsMWhgJDqdSnfJdpYNlgGoqYZaO1JmbZxG1nhHy60WV+RhQVdLsyY3r7x966Vgo8Lop9Hnxug0KvC1tDTTDCwnMmUx4oAA2mMijymqljKMBlR9j+/K947d7FfOITn+Cxxx5j9uzZEkCEyJDURAa4ZA1hfHlhqleToRQl/kM9rpKpKgCfp4at+5z9powubtPY3tX4kvQG9u1VzYDzCd/vddEctjh2eCE1wQiRRO0irp21NQrcioaWKFZc43cbaCAUi+MyDAwgFLXZsre+Tfrp+FHF3daMkum1+pYoVfUhrLiNBlymwWkjSyj1u6luijB1TCnHjyqmwOMMkPTZLjxuk+ZQlIPbXuOdl1Zy+txTueXptQwfPjzLvx0hBj8JIgNcsmdToMDFiSOLnTVBonFmji/j9OOH815lM1X1IVa9tovqxjAjy3ycOrk8lSb66wc1PRpfEorGOXlsSZtU06WnHc17lc18UNWUaLjWFBa4icZsmsMxlFK4TWiJ2oSsMOPL/dQGo3g9JgYcln7qbpLHbRUN7G8M8c7eekKxOLZ2ahUAVtzm7b31HHd0EWOHF7Z5jyaOCBDwuti94wOef+InFMSDrPjvu5k5c6bUPIToJQkiA1z7QXKfmjw8tYhT+piJjbvqCEXjDC/yogoOtUNs3dfIqZPL2xyzs95QnXWhfa+yOVVzSG+r+OhAMzaaYNii2OfBZSqaWmPsqG6hPODl5DHFAKn1Q2qCEW790skALH/u3cPGk2yraGDVa7vYvKcetE1LNJ4qWzIEmEA4FmdPbQvfnXdcm/do7esfsmbFT3n/r89x1eJFXHrJAkzTlAAixBGQIDIIJAfJJXsr/eqVHexvDFEe8KRu9LG4psBtsK+utU3XWaBNY3vycUe9oTrrQvtBVVObm/68k52aSWNrDMvWFPvcFBW4iVhxDMNpKwnF4iilKCt0RoVr7SwrC3Q4YHDeyUfz9Fsfs/tgkFjcxrYPfx+czs1OrWREUUGqJqW15p2/PM+KG27g9NNP5+5n1lFeXn74AYQQPSZBZJBoP1p7e1UTLWELv8fFsIAXv9ckEounemuBEyymjC4mGD7UDbirdUM6Wia2sj5EdVOYo0sKUjf9DVsPpEaJ/+ldp70lYsWpb4kCTgN7NBbvcKBjZ7Wd37y6i3DMwoprDKWIpkURQ4FSUOA2seKaYQEvx49yajnbtm1j8eLF1NbWsnz5ck455RSpeQiRRdI7a5BIv/kqpSj2u0E5qSKA8eWFRGJx3KbRpmfWZWccy8JzJnfbGwra9tBKHmNPbUtqZHn72W7nzxiFy1SEonGaQrHUcQo9RmpVwO1VjfxjZy0bd9VRF4zwQWVTh9O21zRH8LpNJwBZNul9umwNaGfwIECJz81nJgW49tprOfvssznrrLNYtWoV06dPlwAiRJZJTWSQaJ9qGl9eyLsfN9AUcm74LlMxssyPx1T87SNnCZgpo51P65kuCNXRCoQjigoYXeZvs1+yTWXqmFKuOHsSD76yg0jMpsBtUOAyMQzFsSMKONAU4WBThKNLCpg+pgTTUFQ3hynwGIwZVpg6XmV9iLjW1AYjxOPOAEGlIBkPFBDXYNqak0YXM6HlbS6at4DPfOYzrF69mmHDhh3huyuE6IwEkQEsfcT2/kanm+voxNTlZYUeJgwPUBOMUN0USfXK2rD1QJveVZlObpjUPuAsf+7dw1JcydTUtooG3qtsZkRRAaFoHKWgyO+m1OemPhSjLhjF6zYYUexlX33IGQioNR/sb6aqIUxLxKI1ahG1nGgRT2sHUQqUBsOAogIXXpeLb003uec/l/K3pibuvvtupk2bJjUPIXJMgsgA1b4NJBaP88H+ZgBGJRZYMgzFrV86OXXTX/7cu23aG6y4pqKulVueeJvTTziqVzPxJidWhLZtKqdOLk+Vb9LRAQo8Bh/uD6K15t3KRmztnN9lGGyraKLY76LQ66IlbBMMW9i2JhiJd1oOhTOocvq4MuKRFv6+biXfXfYCV199NRdeeCGGYUgAEaIPSBAZoNo3QCfTPzXBCC7TYGSZ77C5sNJTXskp101DodG893EDz2/5GMNQjCgu4Otzx7eZ1Ta9e23A62LSiECqET3ZGysZWL4+d8Jh5Sv0ugGb3TWtGArcpoFC0xK1MZQzH1fA66Y16gxW7CqAgJPKOnl0Me/99TleeeS/OfcLn+Mna9dSWpqbddqFEB2TIDJAddTddnSZH7dp8rPLZnf4mvTeVXtqW3CZBkpDzLbZcaAFlMbEWbXwvhc/BOCCWWNTtZ6KulYKPSYaeL+qiSmjSggUuFLjRNK7GO+sDnLCyCLgUMCKWtqZasQ0iFiHclO2dgYxtkRiRC0by+66BuE2FaEDO3n00aUUGDa/euAXTJt2stQ8hOgHEkQGqI662ybbIp7dtI9HX99DfUuUskJPqlaRvm5HS9hKTZzYErEwDDANA8vW+D0uwEpNj35okkcbn9sksWwye2pbOGVsKVX1ocPSa3trW9ha0cC0sWWpgBXXGsOAqHX4IA8N1AajdBM/sELN7Ht1FY3bX+PmG67lwgsvRCklAUSIfiJBJM91thpgZ+uGjx3m474XP8TrNij2uQ6rVSR7VxlKoZTixFFF/G1HLR5TYWsS65FAgduZHn1bRQN/3X6QiOWMMakHvG6TgNeZEbej8R31LVHitk1TyGLjzlrcLgO/x8RUzpxanekqgGhtc3DLS1S88jBzP30Ot//0GUpKSrL2PgshekfGieSx5Kf7xtZom9Hb2yoaUt1t24/vePX9g3jdBn6PC0M5371ug0df3wM4vauWnn8Sd3z1FMYM8+N2GXhMRTRuY2tNYWKW23DMxu9x8dPn36cxFHVGn8c1VlwTteLUBSNo7TSCz58xKjWbcDJ1ZRgGwwJuLFvTGrGIxTUnjCzqMlA4qS512B9lS+WHbPv1tbRufYGHVtzPfcv+nwQQIfKE1ESyJLJ5C6GnnsLauw/XuLH4Lr4Y78wZR3TMjkZvN7XG+PHTWzmmxNemZpJU3xKl2Of8WiNWnOawRcyK09ASSwUfaDvm4+iSAvbVhijwGHhcBo2hKMGwhUtBTTDsjM1IK1dy1LjbNFPdg5PptWTqypNobxlV5qY84GFvbSvlRQVoGju9XpcJw4ucmXlt2yYUbObjP/2W+vf/yuKrv8dll1zUZmEpIUT/k5pIFkQ2b6H5zruI19VjHHMM8bp6mu+8i8jmLUd03OSn+6T6lii7a4I0hWKH1UySygo9hGN2apoR29bOLLouldp3W0UDy597l1+9sgOAW754MjecfyJlhV7qgjHC0TiTRhSiE2uCxJOD+hL3b1tDsc+kNWqxfksl2yoaUqPZm1pjuAyIWc6SuWOH+fF7XMQsm82767u83gK3C6/LpNTn4sCmP/DO/Vcwa2yADc8/y7cu/YoEECHykNREsiD01FOo4mKMYmcEuCouxk5s721tJDndefpyr3tqW5wpTQpcqSlGoO207Z858SgeeX0PVlyjlDNPlRXX+L0mFXWt/OKlD3CbRofrhzy2+Iw2gwf31ISw9aEpRkxDYdvO+u2tUZtjSpzax0+ff5+jipx10mNxm4ZWm/KAl0lHB1BK8c999bgSa797TEibfBfDAG07DeumATW7t/HWU/dQWODmf379ICefNEUazYXIYxJEssDauw/jmGPabFOBANbefb06XrItpDzgoSVspdbbiMScmXjHDvNT3+KkjlrCFoZSbJvh1Ebeq2xm0ohCPjwQxLad2Xv9bsXwIi9Ry+advQ2U+t0YhoHfazK+vBDb1qkUWXrXXL/HINRy6I6fDCAAkZhNOGZRF4xQVd9KQ0uUOccOSw0qHB7wUlbo4fUPD9ISiaO1hcs0CBS4nalYSExboqHE72LG0SZPrbybqm2vs/h71/CNBV9yxrBIABEir0kQyQLXuLHEduzErj6AHWzBCBRijDga96SJvTpeeluI3+NKrbeh0Ywb7kcpxXuVjbhMA7fp9LJa+fJH+DwmgQIXI0t9hC1NdWMYW2tM00ChsOI2tq1pjcY5qtjlBJV9DcSsOLG4s+5Ha9TirV11FHhMGkNWm3KlN4proLopwoHGCH6PswRuQ2uMmqDTnvF+VRN1LREaWy2KCszU2h+t0ThFBS7CMZsinxtsmxnWFh5Y+hMuvPBC/s/dz1FUVNTbX4UQoo9JEMkC1/RTaH3mWVRBAfh82M1B4gdr8H35y706XvpAwmEBb2q9jR3VQUzD4KMDzZiGcgYKxjUnjirC7TLaLDA1vryQyvoQSmtaLIuWiJUKArG4jUKhtU1TKErcBpehnGVtbU04dmjBJ0Ui1aScB8n5qxTOMryWdkadu8w47+xrIBKLE4s766fvqbEwDYVhKFymgW0npnG3NMeU+vA27GTDw8uoGVHCihUrOP7446XmIcQAIw3rWWC98zauqVMxAgEIhTACAVxTp2K983avjjcyMfdVumDE4viRxSw8ZzJW3Fm/3OM2OHFUMcMC3jYLTIHTwF5U4CIad1JQhjrUKG3FNTXNYQ40hlNBQaOpbgoTjrUdCJi8pdu67QSIGtqMLG8OOWk3O7G2ukoEHNuGhtYYLkMRt51uxMHGOrY8sYy1P72exQu/w8qVKznuuOMkgAgxAElNJAusvftwjR2LGj8+tU3bdq/bRDobSJicC+v0E47qcLR6+wWmkp2Z3CZ4XAbE4sRtZxGnlkictLjSJkAkJWshkOiZpaGz27yNc9xo4kBu0yCmbeJaU+b3ELVsClwGu19/mt2vPML8Cy7kN3c+QyAQ6NV7JITIDxJEsiDbbSIdrduRPpli+yBTWR/io+rm1B3e53ExLOBJDDY0UIaBFbdxuwxU3E4FjAKXSTgWp4P4AbQNGEp1PqLcTDznPK/wuJz0ldaaWFzjdRk07N7KR+vvo6S4mCd+9zDHHTdZah5CDAISRLIg220i0PVCUelB5oOqJj6uD2FZNgGfm5hlUxuM0BiKUlzgwu914XaZeBLTmQRDMepao6hErUEZ0GkUSdPV/T6uYWyZl5aoJhxz1gSxbWe1c3+8ibce/Rm1H21i6dIb+PL55yUWlJIAIsRgIEEkC5JtIvrAAexgECMQQE2a5LSJXHpJ1s6TnEfrg6omWiIWhR4XLVELU4HP70FrTTBipVb9s2ynN5RpOdOZKJx44feYxOM2NgrTMAhF452mqdK5DNXhDLslBSaTjimhujHMweYIDa1RDB2neuOz7Hn1UT7/L1/k5vueo7DQ38FRhRADmQSRLLD27sMo9BNXJJbcA6PQ3+s2kY4kx47YtuZAYwilFC1hi1DUImzZDDMVLZF4YmJFZ71xy9b43GZq6hOfx8X44X721gRpjIGpEtOZpDd+dMJJVx3ayWOCYRgoYPq4MiIxm+vmT2H9lkpeffVV/vroXYwYXs7v/ue3HD+5d2k9IUT+kyCSBcrnI/KPf2D4fCifDx2OEN20Ge8nPpG1cyTHjuyoDqbSUzHLJqScrrmNrTFi8cToPUChaApFMZXTxfbkMaXUtkTYdTBIMBzHNEApRTyunRpG2vxYGcQUYnHwKDhxVBEet8lRfg/DzBDvPH4H77z6KrfdeAPnnHNO1q5fCJGfpItvFmg0xGLE62qJV1YSr6uFmDM4MFuS82i1RuK4Tadblct0GrBdhiISs9Fao7XTrdayNXEbonFn3MeWvfXsOdhCJGZT4Dm0JkiJ3wOA26XwugwM1TaAuDqYr8pjKgrcBqWFbsqLCmgMhql5cx3Tpk2jpKSEtWvXSgARYoiQmkgW2Aeq0YYzKtxpTlZow8A+UJ21c4ws87GvpoVQ1KKx1elp5UoMDoxYzhKzRuJxR2KJWRRDMRuvrdHKGTvSGrUSkzQ6wdBlOAtVJY/SURvISaOLaWi1aGiNUrNjC3/8zU8YO3okv/3tbxmf1s1ZCDH4SRDJAh1sRjlLAzrVANPpVquDzVk7x5RRRfxx635MU4GlicTiBOOH1v8o9bsxTYPRpT7e3tfQZW+qSHJa3vQ6R+LH7prYDaAxZDHC3cr7/3sP7+7aytKlSznrrLN6fW1CiIFLgkgWaBS6qQlcLjBNdMyCUBhdXp61c7xX2cxxxwSoDUZR2hlcaCZqE8MTY0K0gvpQzElV5agLbcBjs+X5Vez58xN885vfYOHdt1FQUJCTcwkh8p8EkSxQaPD5INQK4bCzupLPn0huZUdVfYjRZX7GDCsE4PUPayhwK8Ixm+OOKeb9yiZcpkrM6gvxbo7XG3bVO7z++/sYO2Y0Tz3+KOPHj8vBWYQQA4kEkSzQKAiFwOUGbwHE4xAKOduzJLlyYHKqE7/XpDViUeh1MSzg5cRRxbyzr4HmcAw7bZLErISx1hp2Pr+SeM0OfnDjUv7lc+e0mTJFCDF0Se+sLFBoZ3xIays0NzvflcpqTSS5cmBzOIbWmqMCXqenlctg85463tpVR2NrjAK3wVHFHkx15AHEtqJ8/NrjbPrlv3PmzBP432eeZv7nJYAIIQ6RmkgWWA2NEIm03RiJONuzpP18WmOHFzJ1TDG/31RJa8QiYjnVj1hi/fOjir1UN0U6ne+qOw0fbWTPC/czbvwE1jz5OMeOH5u1axFCDB4SRLKhvpO1wzvb3kvt59P699+8SUsk1qYNPWppDjRGel0LiTQcYM+LK4jV7OI/brmZcz97VmpcihBCtCdBJBui0Z5t76Xk3Flv76mjqiFEa9SpfbS/xfcmgNhWlKrXV3Pgzae5cMHXuG7RzynyS68rIUTXJIgMEMm5s5pCUfbWtBJPq34cadtHw4dvsucP9zNx8nGsXPMkY8eMPsIjCiGGCgkiA8C2igZ+/PRWGltjNIdjKEM5868foXD9fva88AB2fQW3/fD7fOGcz9DBLCdCCNEpCSJ57lANJEagwKS+JYpSutcN5gB2LELl609R/Y9n+PJXv8mS/3sfAZ83e4UWQgwZEkTyXHL23mKfm2A4BnS+wmAm6rf/jb0vrmDicSewYrWTupLahxCitySI5LkPqppoDseobY7QEsls8aiOhOsq2fPCA+imKm6/7T8459OndzhDrxBC9IQEkTy2raKB6qaw80ApXKazjkePWGFq/raair8/w8Xf+BZXL/wOPq8762UVQgxNEkTy2PotlYwr97O3ppWoZeNxmcTteEbpLK019dvfoOKllZw8bRq/WLea0SNH5r7QQoghRYJIHktOuuj3uNi4q45QNLMAEq79mD0v3I/RcpDld9zGGXNPwyUT3AghckCCSJ7aVtHAnpoWNu2uAyCemFXRUJ03rMejYSpfe5yDm/6Xf/32/2HR5f+K2y2/YiFE7sgdJs9sq2jgFy99wDt7G7DsxDzAiel4NR3PmKm1pv79v7L3xZVMOfkUfvvMOo45ekSfllsIMTRJEMkjD2zYzmNv7E1NpgiJ0eiJSYKVxpnHSqnUPqGafez+w/2Y4TruWnY7n557qnTZFUL0GQkieeKBDdv5n9d2d5qqUoDLdCaXL/G5OFjXyN5XH6Vmywt889uXc+W3v06hDBgUQvQxCSL9IDmRYlV9iJFlPooLzC4DCDjtIKahKPG5qXrnT7zz+19yyqw5/PaZpzl6xFFS+xBC9AsJIn0sOY1JoMCF21T85f0DHGzObLbfWN0+3vzfX+KKNbPi3ruZPWsWOkdrqQshRCYkiPSx5DQmVlzzflUTLZHuRw/GI63Uvv4YDdte5qrFi7joooswTVMCiBCi30kQ6WNV9SFGFHt5e18DLtPA7iIQaK2p2/onKl5+iC989iyWrF1DeXl5H5ZWCCG6JkGkj40s89HYGqU1EsfnMXCbBpGYfdicWK3Vu9n9/C/wE+aBe3/GnFkzpeYhhMg7Mo65j82fMYpg2MJtKqKWjddlYBpO7ytDgR1pYe8LK/jgdzfxb5dcwAu/X83smTMkgAgh8pIEkT42dUwpC8+ZzHHHFNEaieN1m0wdXUJ5wEPtP//IP+9fyEnl8OL633P5v34N05RfkRAif0k6qx9MHVPKTy6dmerq+87bb7Pt0bvwGxa/WXEfL6PNwwAACO9JREFU06ZNk5qHEGJAkCDSj0YHoOLFB3jpiSdYvHgxX/ziFzEMQwKIEGLAkFxJP7Btm4cffpgpU6ZQV1fH2rVr+fKXv4xhyK9DCDGwSE2kj23evJlFixYRiUT4+c9/ztSpU6XmIYQYsOSjbx+pr69n0aJFnHvuuZx//vk8/PDDnHTSSRJAhBADmgSRHLNtm4ceeogpU6YQDAZZt24dF154IUrJZFdCiIGvz9JZSqkFQAMwS2u9PJPnM92Wr96ORrnotNPQWnPfffcxZcoUqXkIIQaVPgkiSqlZAFrrDUqpiUqpWVrrTV09n3yuu23px8kX9XacZU1NvGDFuO6ii/iXf/kXlFISQIQQg05fpbO+ilN7ANgJzMvg+Uy35Y241vyuJcjZB6tRs2by9AsvMH/+fEldCSEGrb5KZ5UCdWmP288i2NHzmW5rQym1EFgIMG7cuN6XuAdGf7yPZ48awa2NjXiGlfHAffdywkkngcfTJ+cXQoj+Mui6+GqtVwIrAebMmZPz/NHBgwe5+eabWe8yufb2H3Peeefl+pRCCJE3+iqd1QAMS/xcCtRm8Hym2/pFPB7nl7/8JVOnTgVg3bp1EkCEEENOX9VEngDmJH6eCGwAUEqVaq0bOnu+B9v61BtvvMGiRYsoKChg5cqVTJ48uT+KIYQQ/a5PaiLJHlRKqXlAQ1qPqj929nym2/qi/EnV1dV85zvf4Stf+Qrf+MY3JIAIIYa8PmsTSbRVtN82u5vnM9qWa5Zlcf/993Pbbbfx5S9/mXXr1lFYWNjXxRBCiLwz6BrWs+21115j0aJFFBcX89BDDzFx4sT+LpIQQuQNCSKd2L9/P0uXLuXll1/muuuu43Of+1x/F0kIIfKOzJ3VjmVZ3HPPPUybNg2/38+6deskgAghRCekJpLm1VdfZfHixQwbNoxf//rXHHvssf1dJCGEyGsSRIDKykpuuOEG/vznP3P99dfz2c9+tr+LJIQQA8KQTmfFYjHuvvtupk+fTmlpKWvXrpUAIoQQPTBkayIvv/wyixcv5phjjuG3v/0t48eP7+8iCSHEgDPkgkhFRQXXX389b7zxBjfccANnnXVWfxdJCCEGrCGTzopGoyxfvpwZM2YwYsQI1qxZIwFECCGO0JCoibz00ktcddVVjB07llWrVjF27Nj+LpIQQgwKgzqIRKNRFixYwFtvvcXSpUv59Kc/LasLCiFEFg3qdNa7777LmDFjWL16NWeeeaYEECGEyDI1mG+sSqmDwJ4+Pu1woKaPz5kLg+E65Bryx2C4jqF0DeO11kdlcsBBHUT6g1Jqo9Z6Tvd75rfBcB1yDfljMFyHXEPHBnU6SwghRG5JEBFCCNFrEkSyr88XzcqRwXAdcg35YzBch1xDB6RNRAghRK9JTUQMCEqpBUqpeUqppZk+39lrlFKzenLsbMnxNSxLfF+Yi7IL0RkJIl3I1j99T24OuZDj68j5zSt5w9RabwAaOriBHvZ8Z69RSs0DHsz02APhGhIWKqV2ADtzUf52Zc3W39PCxNeyTI89QK6hzwJ6Fq9jXuKrx78LCSKdyNY/fU9uDgPtOhKH6Iub11eBhsTPO4F5GTzf4WsS5a/rwbGzJZfXAHCx1npS4rmcyeLf0zxgg9Z6JTAxcbMaUAG9o2tIHKJPAnqW/7c/l9g2q6f3KAkincvWP33GN4ccyeV1QN/cvEppe9Msz+D57l6T6bGzJZfXAM4/f1/UbLP19zQx7bU7E48HWkDv6BqgjwJ6J2Xq7vnDtmmtN2mtb0xsm6i13pTBsVMG9dxZRyhb//RHenM4Urm8DnBuXgCztNbLs1Fg0XPJ914p9Tml1Lwc3sCy8vfU7m9lFvAEMLubY2dLLq8B+u5/IqsfTBIfQK7M8NgpUhMRR0RrvTxxwypPq85nWwMwLPFzKVCbwfPdvSbTY2dLzq4hkbtekHhYy6FPxHkvkSZ5KfHpd0Bqfw199D+RdYmAd6VSqrQnr5OaSOd680/PEW7LhZxdR/LGpbVeTW5vXk8AyakaJgIbAJRSpVrrhs6e72RbRsfOgVxew04O5d8nASuyV+zDZPPvCZx0yvJuXpttObuGPvyf6Kqc3T3f/v842f6x6f+3d7/HacNgHMd/zwZcuoG7AdANwgjNCGSDcJ0gxwiwQa7doGQDYAMYgWMD9YUeB8FhCqpM4fL9vMkh/4l1Z/ux9Uiy4nk0PGPfH3gTafam3Qmwd9GfWP4vZW1psx7r5Ni/Spq3UYH6Cc+f6rbJU+t70/Kmbfwi7ycXe9O+760OT/571fJTfanzSWY2TG6+j03r3VkdrnJNnDjOnHo8aj9grJv2fQyDDU/wLnprxWTT1MsWIYTeieXZZXdcj42XkRP5BEqcT37D/al47jwoJqNn17ourlCHq1wTherRkfTkxzwIITw3bXv0GAgiAIBcNGcBALIRRAAA2QgiAIBsBBEAQDbGiQAXMLNKcVTvi6SldqOUJembpEk6WtzMJpJU93i58H91FaefWLXdgw/IRe8sIIOZLRQDxjQpqyStJPWSMR3pQK6/7XN4GCx8KopBCGFQ8viBUmjOAgoJIdQDzX4kZctzAojrHSm72+lA8DkQRICyKvkUJGbWSafVbuLrTbQbNQzcDXIiQCG2+wjRq/99UHwr6Uga+AjnseJUGL8V8x1vybpdb77aHmnWqifyG4gcCW4IQQTI1/Obe0cxqV4p5i+2Umze8jeMkf+eJb9H8jeWEMLSpw5XwzQZfUnrurnMzIIkgghuAkEEyLdIemL98jmI3s3s1WdxPWajGBC2Oj/fsfEA8iGZ/Rf4r8iJAIX4TX2iOCnfKZfe/A8/s0rwwM0giABlbaS96bgvZmZVW98XB0ojiABlPUuaZTQ1pd/org66BR/22soOUEBp5ESACyQj1ruSvidvHF8Ug8AyhDDydbuKCfS+99ya+7Z974U1TZLwSzObJz280u3rXltT7cagjM1sfJgrAa6NEesAgGw0ZwEAshFEAADZCCIAgGwEEQBANoIIACAbQQQAkI0gAgDIRhABAGQjiAAAsv0Bae/xSDqOGPcAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -205,7 +205,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -258,7 +258,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -309,7 +309,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -350,7 +350,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -381,7 +381,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa1cb8a76d8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb716b90080>"
       ]
      },
      "execution_count": 15,
@@ -390,7 +390,7 @@
     },
     {
      "data": {
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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -414,12 +414,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -451,19 +451,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "PWG kernel is 12.368203536113965\n",
-      "PSS kernel is 0.005030895688591386\n",
-      "PF kernel is 0.44037297937754905\n",
-      "SW kernel is 0.7880720371858232\n",
-      "Bottleneck distance is 0.013070859973065046\n",
-      "Wasserstein distance is 0.01815319639046967\n"
+      "PWG kernel is 12.157801963480544\n",
+      "PSS kernel is 0.004948290304369607\n",
+      "PF kernel is 0.4920080594644995\n",
+      "SW kernel is 0.8447691457828302\n",
+      "Bottleneck distance is 0.009846354643030016\n",
+      "Wasserstein distance is 0.013453246715383761\n"
      ]
     }
    ],
@@ -516,7 +516,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -546,7 +546,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -575,7 +575,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -631,7 +631,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -649,7 +649,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -665,20 +665,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'Estimator': RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
-      "                       max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
+      "{'Estimator': RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
+      "                       criterion='gini', max_depth=None, max_features='auto',\n",
+      "                       max_leaf_nodes=None, max_samples=None,\n",
       "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "                       min_samples_leaf=1, min_samples_split=2,\n",
-      "                       min_weight_fraction_leaf=0.0, n_estimators=10,\n",
+      "                       min_weight_fraction_leaf=0.0, n_estimators=100,\n",
       "                       n_jobs=None, oob_score=False, random_state=None,\n",
-      "                       verbose=0, warm_start=False), 'Scaler__use': True, 'TDA': Landscape(num_landscapes=5, resolution=100, sample_range=array([0., 1.])), 'TDA__resolution': 100}\n"
+      "                       verbose=0, warm_start=False), 'Scaler__use': True, 'TDA': Landscape(num_landscapes=5, resolution=100, sample_range=[nan, nan]), 'TDA__resolution': 100}\n"
      ]
     }
    ],
@@ -695,15 +696,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train accuracy = 0.975\n",
-      "Test accuracy  = 0.7\n"
+      "Train accuracy = 1.0\n",
+      "Test accuracy  = 0.5\n"
      ]
     }
    ],
@@ -743,7 +744,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.10"
   },
   "toc": {
    "base_numbering": 1,
@@ -761,4 +762,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/Tuto-GUDHI-simplex-Trees.ipynb b/Tuto-GUDHI-simplex-Trees.ipynb
index 69f33da..7478b91 100644
--- a/Tuto-GUDHI-simplex-Trees.ipynb
+++ b/Tuto-GUDHI-simplex-Trees.ipynb
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -103,7 +103,7 @@
        "True"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -132,7 +132,7 @@
        "False"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -150,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -166,7 +166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -222,7 +222,7 @@
        "1"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -240,7 +240,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -249,7 +249,7 @@
        "4"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -267,7 +267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -276,7 +276,7 @@
        "7"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -294,7 +294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 10,
    "metadata": {
     "scrolled": true
    },
@@ -303,7 +303,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[([0, 1], 0.0), ([0], 0.0), ([1, 2], 0.0), ([1, 3], 0.0), ([1], 0.0), ([2], 0.0), ([3], 0.0)]\n"
+      "<generator object at 0x7f46e8bf7558>\n"
      ]
     }
    ],
@@ -320,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -329,7 +329,7 @@
        "False"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -349,7 +349,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -399,7 +399,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -438,7 +438,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -477,7 +477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -486,7 +486,7 @@
        "0.8"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -513,7 +513,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.10"
   },
   "toc": {
    "base_numbering": 1,